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RBI & how its policies can start to affect the market
Disclaimer: This DD is to help start forming a market view as per RBI announcements. Also a gentle reminder that fundamentals play out over a longer time frame than intraday. The authors take no responsiblity for your yolos. With contributions by Asli Bakchodi, Bran OP & dragononweed! What is the RBI? RBI is the central bank of India. They are one of the key players who affect India’s economic trajectory. They control currency supply, banking rules and more. This means that it is not a bank in which retailers or corporates can open an account with. Instead they are a bank for bankers and the Government of India. Their functions can be broadly classified into 6. · Monetary authority · Financial supervisor for financial system · Issuer of currency · Manages Foreign exchange · Bankers bank · Banker to the government This DD will take a look at each of these functions. It will be followed by a list of rates the RBI sets, and how changes in them can affect the market. 1.Monetary Authority One of RBI’s functions is to achieve the goal of “Price Stability” in the economy. This essentially means achieving an inflation rate that is within a desired limit. A monetary policy committee (MPC) decides on the desired inflation rate and its limits through majority vote of its 6 members, in consultation with the GoI. The current inflation target for RBI is as follows Consumer Price Inflation (CPI): 4% Upper Limit: 6% Lower Limit: 2% An increase in CPI means less purchasing power. Generally speaking, if inflation is too high, the public starts cutting down on spending, leading to a negative impact on the markets. And vice versa. Lower inflation leads to more purchasing power, more spending, more investments leading to a positive impact on the market. 2.Financial Supervisor For Financial System A financial system consists of financial markets (Capital market, money market, forex market etc.), financial institutions (banks, stock exchanges, NBFC etc) & financial assets (currencies, bills, bonds etc) RBI supervises this entire system and lays down the rules and regulations for it. It can also use further ‘Selective Credit Controls’ to regulate banks. 3.Issues of currency The RBI is responsible for the printing of currency notes. RBI is free to print as much as it wants as long as the minimum reserve of Rs 200 Cr (Gold 112 Cr) is maintained. The RBI has total assets or a balance size sheet of Rs. 51 trillion (April 2020). (1 Trillion = 1 Lakh crore) India’s current reserves mean our increase in currency circulation is well managed. 4.Manages Foreign Exchange RBI regulates all of India’s foreign exchange transactions. It is the custodian of all of foreign currencies in India. It allows for the foreign exchange value of the rupee to be controlled. RBI also buy and sell rupees in the foreign exchange market at its discretion. In case of any currency movement, a country’s central bank can directly intervene to either push the currency up, as India has been doing, or to keep it artificially low, as the Chinese central bank does. To push up a currency, a central bank can sell dollars, which is the global reserve currency, or the currency against which all others are measured. To push down a currency, a central bank can buy dollars. The RBI deciding this depends on the import/export and financial health of the country. Generally a weaker rupee means imports are more expensive, but are favourable for exports. And a stronger rupee means imports are cheaper but are unfavourable for exports. A weaker rupee can make foreign investment more lucrative driving up FII. A stronger rupee can have an adverse effect of FII investing in markets. 5.Banker’s Bank Every bank has to maintain a certain amount of reserve with the RBI. A certain percentage of a bank’s liabilities (anywhere between 3-15% as decided by RBI) has to be maintained in this account. This is called the Cash Reserve Ratio. This is determined by the MPC during the monetary policy review (which happens every six weeks at present). It lends money from this reserve to other banks if they are short on cash, but generally, it is seen as a last resort move. Banks are encouraged to meet their shortfalls of cash from other resources. 6.Banker to the government RBI is the entity that carries out ALL monetary transactions on behalf of the Government. It holds custody of the cash balance of the Government, gives temporary loans to both central and state governments and manages the debt operations of the central Government, through instruments of debt and the interest rates associated with them - like bonds. The different rates set & managed by RBI - Repo rate The rate at which RBI is willing to lend to commercial banks is called as Repo Rate. Banks sometimes need money for emergency or to maintain the SLR and CRR (explained below). They borrow this from RBI but have to pay some interest on it. The interest that is to be paid on the amount to the RBI is called as Repo Rate. It does not function like a normal loan but acts like a forward contract. Banks have to provide collateral like government bonds, T-bills etc. Repo means Repurchase Option is the true meaning of Repo an agreement where the bank promises to repurchase these government securities after the repo period is over. As a tool to control inflation, RBI increases the Repo Rate making it more expensive for banks to borrow from the RBI with a view to restrict availability of money. Exact opposite stance shall be taken in case of deflationary environment. The change of repo rate is aimed to affect the flow of money in the economy. An increase in repo rate decreases the flow of money in the economy, while the decrease in repo rate increases the flow of money in the economy. RBI by changing these rates shows its stance to the economy at large whether they prioritize growth or inflation. - Reverse Repo Rate The rate at which the RBI is willing to borrow from the Banks is called as Reverse Repo Rate. If the RBI increases the reverse repo rate, it means that the RBI is willing to offer lucrative interest rate to banks to park their money with the RBI. Banks in this case agree to resell government securities after reverse repo period. Generally, an increase in reverse repo rate that banks will have a higher incentive to park their money with RBI. It decreases liquidity, affecting the market in a negative manner. Decrease in reverse repo rate increases liquidity affecting the market in a positive manner. Both the repo rate and reverse repo rate fall under the Liquidity Adjustment Facility tools for RBI. - Cash reserve ratio (CRR) Banks in India are required to deposit a specific percentage of their net demand and time liabilities (NDTL) in the form of CASH with the RBI. This minimum ratio (that is the part of the total deposits to be held as cash) is stipulated by the RBI and is known as the CRR or Cash Reserve Ratio. These reserves will not be in circulation at any point in time. For example, if a bank had a NDTL (like current Account, Savings Account and Fixed Deposits) of 100Cr and the CRR is at 3%, it would have to keep 3Cr as Cash reserve ratio to the RBI. This amount earns no interest. Currently it is at 3%. A lower cash ratio means banks can deposit just a lower amount and use the remaining money leading to higher liquidity. This translates to more money to invest which is seen as positive for the market. Inversely, a higher cash ratio equates to lower liquidity which translates to a negative market sentiment. Thus, the RBI uses the CRR to control excess money flow and regulate liquidity in the economy. - Statutory liquidity ratio (SLR) Banks in India have to keep a certain percentage of their net demand and time liabilities WITH THEMSELVES. And this can be in the form of liquid assets like gold and government securities, not just cash. A lot of banks keep them in government bonds as they give a decent interest. The current SLR ratio of 18.25%, which means that for every Rs.100 deposited in a bank, it has to invest Rs.18.50 in any of the asset classes approved by RBI. A low SLR means higher levels of loans to the private sector. This boosts investment and acts as a positive sentiment for the market. Conversely a high SLR means tighter levels of credit and can cause a negative effect on the market. Essentially, the RBI uses the SLR to control ease of credit in the economy. It also ensures that the banks maintain a certain level of funds to meet depositor’s demands instead of over liquidation. - Bank Rate Bank rate is a rate at which the Reserve Bank of India provides the loan to commercial banks without keeping any security. There is no agreement on repurchase that will be drawn up or agreed upon with no collateral as well. This is different from repo rate as loans taken with repo rate are taken on the basis of securities. Bank rate hence is higher than the repo rate. Currently the bank rate is 4.25%. Since bank rate is essentially a loan interest rate like repo rate, it affects the market in similar ways. - Marginal Cost of Funds based Lending Rate (MCLR) This is the minimum rate below which the banks are not allowed to lend. Raising this rate, makes loans more expensive, drying up liquidity, affecting the market in a negative way. Similarly, lower MCLR rates will bring in high liquidity, affecting the market in a positive way. MCLR is a varying lending rate instead of a single rate according to the kind of loans. Currently, the MCLR rate is between 6.65% - 7.15% - Marginal Standing facility Marginal Standing Facility is the interest rate at which a depository institution (generally banks) lends or borrows funds with another depository institution in the overnight market. Overnight market is the part of financial market which offers the shortest term loans. These loans have to be repaid the next day. MSF can be used by a bank after it exhausts its eligible security holdings for borrowing under other options like the Liquidity adjustment facilities. The MSF would be a penal rate for banks and the banks can borrow funds by pledging government securities within the limits of the statutory liquidity ratio. The current rate stands at 4.25%. The effect it has on the market is synonymous with the other lending rates such as repo rate & bank rate. - Loan to value ratio The loan-to-value (LTV) ratio is an assessment of lending risk that financial institutions and other lenders examine before approving a mortgage. Typically, loan assessments with high LTV ratios are considered higher risk loans. Basically, if a companies preferred form of collateral rises in value and leads the market (growing faster than the market), then the company will see the loans that it signed with higher LTV suddenly reduce (but the interest rate remains the same). Let’s consider an example of gold as a collateral. Consider a loan was approved with gold as collateral. The market price for gold is Rs 2000/g, and for each g, a loan of Rs 1500 was given. (The numbers are simplified for understanding). This would put LTV of the loan at 1500/2000 = 0.75. Since it is a substantial LTV, say the company priced the loan at 20% interest rate. Now the next year, the price of gold rose to Rs 3000/kg. This would mean that the LTV of the current loan has changed to 0.5 but the company is not obligated to change the interest rate. This means that even if the company sees a lot of defaults, it is fairly protected by the unexpected surge in the underlying asset. Moreover, since the underlying asset is more valuable, default rates for the loans goes down as people are more protective of the collateral they have placed. The same scenario for gold is happening right now and is the reason for gold backed loan providers like MUTHOOT to hit ATHs as gold is leading the economy right now. Also, these in these scenarios, it also enables companies to offer additional loan on same gold for those who are interested Instead of keeping the loan amount same most of the gold loan companies. Based on above, we can see that as RBI changes LTV for certain assets, we are in a position to identify potential institutions that could get a good Quarterly result and try to enter it early. Conclusion The above rates contain the ways in the Central Bank manages the monetary policy, growth and inflation in the country. Its impact on Stock market is often seen when these rates are changed, they act as triggers for the intraday positions on that day. But overall, the outlook is always maintained on how the RBI sees the country is doing, and knee jerk reactions are limited to intraday positions. The long term stance is always well within the limits of the outlook the big players in the market are expecting. The important thing to keep in mind is that the problems facing the economy needn’t be uni-dimensional. Problems with inflation, growth, liquidity, currency depreciation all can come together, for which the RBI will have to play a balancing role with all it powers to change these rates and the forex reserve. So the effect on the market needs to be given more thought than simply extrapolated as ‘rates go low, markets go up’. But understanding these individual effects of these rates allows you to start putting together the puzzle of how and where the market and the economy could go.
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you. Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers: It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be. Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do. Part II
Preparing for quantitative and qualitative releases
Data surprise index
Using recent events to predict future reactions
Buy the rumour, sell the fact
The trimming position effect
Some key FX releases
Preparing for quantitative and qualitative releases
The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP. Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data. A great resource that's totally free to use This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down. Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders. For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend. Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money. Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show. For example, here’s German Consumer Confidence. Helpful context There are also qualitative events. Normally these are speeches by Central Bankers. There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.
Data surprise index
The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic. You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference. If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative. Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers. When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish. These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.
Using recent events to predict future reactions
The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects? That seems easy to answer but it is not. Consider the example of consumer confidence we had earlier.
Many times the market will shrug and ignore it.
But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times. One clue is to look at what happened to the price of risk assets at the last event. For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then? 2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect. Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.
Buy the rumour, sell the fact
A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur. Buy the rumour, sell the fact In short: people take profit and close their positions when what they expected to happen is confirmed. So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.
Trimming or taking off positions
One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes. Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions. The price action before an event can tell you about speculative positioning If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus. But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.
Two kinds of reversals
Fairly often you’ll see the market move in one direction on a release then turn around and go the other way. These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.
Sometimes this happens when the data looks good at first glance but the details don’t support it. For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers. Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.
Some reversals don't make sense Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth? This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.
Some key releases
As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.
Interest rates decisions
These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate. You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot. A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower. A central banker speaking is always a big event
Non farm payrolls
These are released once per month. This is another top-tier release that will move all USD pairs as well as equities. There are three numbers:
The headline number of jobs created (bigger is better)
The unemployment rate (smaller is better)
Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event. In general a positive response should move the USD higher but check recent price action. Other countries each have their own unemployment data releases but this is the single most important release.
There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc. Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here. A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.
Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing. In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time. This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release. In general a strong GDP number is good for the domestic currency.
Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate. See the FX fundamentals section for more details.
Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy. These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels. Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.
Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.
KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling
Following a post from u/donjonne about a HUGE Weibo story on how to actually start your own 1:1 repsneaker empire, I figured as a native Mandarin speaker I gave it a shot and translated the entire article, since I myself am pretty damn intrigued what the guy's speaking.Do note this article is written in March 2017, lots of stuff may have been outdated, and I translated word-for-word with some pruned paragraphs that seems like the fella repeating himself. I absolutely hate the weird flowery prose Mandarin always carry when I work on translations, so apologies if the in-jokes or general writing gets a bit dry. This is my personal tl;dr without the author's boastful claims, so if you're short on time, here's the quick rundown.
How do replica sneakers get sold?
Taobao: Long history with the reputation for being the single biggest online BST hub, with Tmall and Xianyu Second-hands integrated. Lots of fake reviews and seller reputation ratings. The rep game there got outta hand, CEO of Alibaba stepped in and cleaned house, thus everyone moved to... WeChat: Lots more convoluted, no proper tracking and confirmation like a real shopping app and build quality can vary greatly between sneaker models from the same seller. But through word-of-mouth, standout resellers get recommended more organically, of course you need connections to start with. Agents: Your best friend if you're overseas, usually ran by freelancers merely collecting orders, reporting back to resellers and have them directly ship your kicks to your doorstep. Agents can be a single person, or a huge operation i.e. Wegobuy and Ytaopal.
How's the quality tho?
Depends. Some will try to bait-and-switch, some will bond genuine friendships for simply being a return customer. Factories often cut corners to save some dough and end up with a worse rep, so like the purpose of this sub, dig into forums and guide yourself to trustworthy sellers. Author also goes on a tangent and revealed the numbers and figures of selling reps, along with the sheer gold rush he's in now. Read below for more info.
Anything of note?
We're getting ripped off. Real hard, if you're a Mainlander chances are you're being sold 1/3 of the prices we see here. Part of the reason is that the multi-level reselling jacks up the price a lot, so unless you're buying in bulk for the purpose of selling them, good luck finding GET-passable OW AJ1's for less than $70. If you get caught selling, it's fines upwards of ¥50,000 and your license revoked, but nothing too serious beyond that. Author promised more novel shoes get made in the future, like Uggs and non-hypebeast dress shoes or sumthin. With that outta the way, here's the translation for the whole article, hope you'll learn something for it and if there's any mistakes, feel free to point it out in DMs or just in the comments. EDIT 17/05/2020: punctuation mistakes and missing formatting, also thanks for the kind words repfam _______________
GOD'S HAND: The Secrets of Replica Sneaker Selling
Having been in the rep game for around 4 to 5 years, it all started out of sheer curiosity. I spent ¥1099 for Air Force 1's some celebrity wore, only to had my buddy show up on me with a fake pair of the same sneaker only costs ¥300. Not everyone is some rich parents' spoiled brat where a pair of shoes costing a couple grand is considered pocket change, yet everyone has that sense of envy, the need to follow the hype to really stand out from the crowd, so do I honestly. But then again you'd only wear that pair of grails for only a good couple months and it'll be out of the wave, why not I find myself a more wallet-friendly way to do so? Ever since dipping my toe into the replica community, I'm making connections, meeting new friends and getting scammed in every step I make, keeping contacts of my favorite sellers (looking back yeah they're not the best and cheapest isn't it huh). I'm deep in the rabbit hole now, buying so many pairs I'm starting to be able to tell batches at a glance, and where to hunt down that very best batch at the cheapest price. At this point it's natural that I'm thinking of selling these reps and becoming a middleman with the best of the batches under one roof (which is what's following below). Anyone who has dealt with middlemen know that actually tracking down the direct factory outlets are nigh impossible, and the multiple stages of middlemen-ception where bigger but more discreet resellers selling to more minor, smaller middlemen can only make one dream of the sheer profit you can make for being on the very top of the pyramid, that idea has only been a mere blip in my mind. There was once in a bar my fam hollered at me with "Yo you remember that John Doe went to Putian for two years? Dude gave up college and has been filthy stinkin' rich by now!" I was like bah it'll never work out for me, but with the summer break I'd worth giving it a shot and have John Doe on the line. And boy howdy, ain't he wildin' right now with his business. Some say every Nike you see there's 1/3 chance it's straight outta Putian, some say Nike's LC works by handling a pair of dumb shoes to an uninformed factory worker and have him say "fuck kinda shoes are these, looks cool I guess so it's legit?" The only way is to really tear down the whole sneaker and see the markings in UV, and once we're on the point where we can fake inside tags and its barcodes, ask yourself can call out fakes on feet? A promotion for \"discount\" NB's on Weibo Ever seen promos like these? It's what I saw on Weibo today, and you've seen one like it yourself did you? They all look good on the images and you'd be right that they're photos of the real deal, just that of course the shoes you actually get were reps, and for each pair profits are never above ¥100; I sell ya an NB for ¥165, I'd only make ¥50.
REPLICA SNEAKERS: HOW DO THEY GET SOLD?
TAOBAO Taobao has always been the single biggest hub for BST. Run by the faceless middlemen, sold by the page visits, and reviewed by the bots. And stores with inflated trust scores were used as a front, once costing hundreds of yuan to buy now go for the tens of thousands. As Taobao is taking action to curb counterfeits to make way for legitimate resellers, these fronts are getting more expensive by the day, since then people took it to WeChat later on. Ask anyone who ran a Taobao store, and they'd tell you "you'll never make a cent unless you're selling fakes". A pair of (fake) shoes take some ¥100 to make, and can be sold as a legit like the thousands of yuan you see on their listings, you'd get away with dozens of fakes sold this way, where you can properly guage and adjust said price to match your profit margins. Once the rep game got popular and the snowball kept rolling, the problem got too big for Ma Yun to not ignore it and he went full banhammer on every rep seller. With every media outlet roasting Taobao's ass, everyone wises up to the knowledge that almost every sneaker you see could be fakes. The stigma lived on, and no one would touch any store where its place of origin writes "Putian". When life gives you lemons, you make a whole damn lemonade stand and just circumvent the whole damn thing by appearing that you're not from Putian. Problem solved. As you check your shipping details, it always seems to travel from Shangai, Shenzen, Quanzhou or even goddamn Xiamen of all places, even overseas. Proxy services are very popular due to China's stringent laws When sneakers are labeled as being shipped from Hong Kong, of course the sellers gonna say "it's from Hong Kong" but in fact it's shipping from Shenzhen, and the seller's excuse is that the sneakers are going through HK's borders from Shenzen then to the buyer's location. Even if you bought fakes in Tmall however, it won't be as bad as the ones sold as legit retails in Taobao. There's just too many of these rip-offs anyway! Had a reseller came to me to buy 10 pairs of sneakers, I make ¥10 each pair, but he sold it as retails and went on to make ¥500 each. Of course I'd panicked a jacked a prices a bit so I could have my own slice of extra profit to ¥20 each pair, said the factories jacked the prices themselves as an excuse. Hoe's mad I guess WECHAT While profit margins are no higher than Taobao, they still range around a dozen yuan on bulk. For all the actual friends I have in WeChat, I'd never believe them not having owned a replica sneaker in their whole life, blah blah blah "factory direct", "wholesale prices" my ass, who really can head to the factories and buy direct these days? Rep resellers buying bulk from those factories are truly the "direct from factory" purchases. Resellers then selling the reps to middlemen and agents, that's another step. Said middlemen then resell these reps to quote-on-quote "middlemen". (NB: may have been the very resellers we see on the sub) And it goes on and on and then, to you, the customer.The so-called A-grade reps you see on WC, let's say we buy it from the factory at ¥200 (for example, the real deal won't be this cheap) and sell to the end-user for ¥400~¥500, it does in fact look decent. Heck, retails may get "called out" in forums and reps may sneak under the radar. Chat and forum opinions aren't good indicatiors for a rep's actual quality. Thus you may wonder why buy retails at this point? No one would really hit the New Balance outlets at their local Wanda mall and ask the teeny-bop promoter lady if their kicks are legit anyway, so wouldn't this been the dream job you've wanted, right? SMALL-TIME AGENTS These sort of agents are mostly handling orders from overseas to cater the westerners, mainly Russian, SE-Asian, North/South American countries etc., and will never be some solo project as they always come in groups of a few dozen staff members. These agent groups can also hire decently well-spoken college students to help converse customers in English and pay them good pocket change, which is eerily similar to how Forex scams work before, but this time they're doing legit businesses for a change. Sort of. FREELANCE AGENTS The most common agent you may come across can be your close friends, they get instant payouts for attracting their local classmates to collect orders for reps, and this wannabe hustler reports them back to the resellers to ship to school dorms directly.
REPLICA BUILD AND QUALITY
Replicas reach far, far and wide. You could see your neighborhood cleaner aunt wearing 990v4s, motorbike taxi riders wearing Duck Camo AM90's, your kind old uncle next door exercising in Flyknit Racers and so on. NB, Nike, Converse, Ascis, Kappa; any brand you wanted they got it. ¥100 to ¥500 is what the factories charge, but after it hits resellers with a ¥200 hike, the illusion what seems to be a shoe that'll last breaks down as it wears out after a few wears. Bad stitching? Poorly-tumbled faux-leather? Off-moulded shape? I'd believe you but you sure you can tell if the EVA is fake by just looking on it? Is the gluing pattern underneath it visible even? A good deal of local boutiques sell ¥120 replicas at official retail prices like ¥599, a good ¥400 profit. Putian factories are split into "heavy" and "light" industries. The heavy industries builds the sneaker as a whole from scratch, while the light industries were like CKD vehicles, where parts are purchased and assembled together instead. and quality of each part of the sneaker depends among factories. Lots of them try to cut corners to save every extra cent, which explains the decreasing quality of recent sneakers you see now. Larger factories has always been delivering consistently decent sneakers, as customers who contacted them are much picker and won't slash prices along with quality out of the blue. The stitching (and Nike Air units/Boost soles even!) is close enough to pass off as retails. Some of the more badass factories can make a batch of 100 brand new replicas for you, just hand in a donor retail pair and they'll get to work.The old dogs in Putian has been around for ages, runs most of the resellers you know and love. They buy reps from the factory direct at ¥140, sell to resellers at ¥160 and have the resellers push ¥180, at these prices the shoes are just not enough to satisfy demand. I've gave it an estimate if the factory got his order to 30 dozen pairs of reps, with each pair a ¥20 profit, we're looking at ¥7,000 a day or ¥20,000 a month in gross profit. Of course, the Sales and Commerce Assoc. will still take a heavy hand on counterfeit sneakers till today, basically a few sellers every month get caught in the counterfeit business. The offenders walk into the office, sit down, had "the talk" yet again and pay a good ¥30k~¥50k fine and had their licenses taken away, for just awhile. Factories themselves get raided very seldom, maybe a every 6 months only a single factory gets caught per year. Putian has become the leading worldwide repsneaker operation for the entire world, and outputs around 50% the actual worldwide sneaker market, an estimated ¥20bn yearly. The Nikes and Adidases you wear now has an "OEM" for that. You may have bought a brand sneaker [in China], but it may very well be a fake regardless, to be fair the quality itself is indistinguishable anyway.
1) The Standard Putian's cheapest offering, pretty much trash tier and a certain Taobao sells them the most often :^) 2) The GET Batch A huge improvement from the Standards, and the so-called 1:1 batch from the mouths of others. It's really not, some of the materials itself is not as fine or accurate as the real deal. Tmall often sells these batches, but often get sold as retails. 3) The 1:1 The absolute tip of the high-end replicas. Take it to HuPu.com and only the eagle-eyed few would call you out. Not everyone can get their hands on them, regardless of price. [eg: similar situation to UABat's Union AJ1's] 4) The Retail Nuff said, just retails. (But really, reps cost just 1/5 of the retail price, why bother lol?) A snapshot of KFC6855's wares
HOW TO TELL FAKES
[The author essentially details how to LC NB998's, so this is best skipped as it adds nothing to the article other than repeating the author's point over and over.]
THE REPSNEAKER FUTURE
If you ever think replica sneakers will only remain within the hypebeast sporty trainer radar, oh you'd be surprised. The replica factories are on full steam, churning out Dr. Martens, UGGS, Tod's and a lot more to come. If you're interested, my WeChat: KFC6855 has them on sale right now, guaranteed to keep ya comfy this winter. With all that said, I hope you learnt something from this, and now that you know if you really wanted a retail pair to sleep well at night, just don't get 'em in online stores. There's no glitz and glamor selling counterfeit sneakers, it's just business after all. If you know, you know.
Managers face a new challenge–managing a remote forex trader team with more and more Forex companies looking out for outsourcing. Events such as motivational tactics, task control and Communications still require a specialist approach even if this has been simplified using technology and a high-speed Internet. The advantages of employing people on a distance are endless and make your competitive edge easy. Your company can help create a talented team of the best specialists in the market because you can not just hire people from everywhere in the world. This is why a remote employment type will continue to gain momentum in the future. It’s all the challenges that value it. Remote job is very easy–output, autonomy and flexibility. You influence the manner you operate your team, the smoothness and achievement of the company procedures. And although most individuals still think that remote employees are not as productive as usual in office, the reality of the matter is that most remote employees actually see an increase in productivity equal to a complete additional working day. So how do you efficiently handle a distant team? How can you contribute to its growth, commitment and coordination? Below are some tips that we have collected to assist you find the response. TIP 1 – Maintain high performance If your team scatters throughout the world, productivity can be impacted, unless certain measures are taken to keep it. It is not only difficult to say in a virtual environment how much time your staff spend on assignments and how successful they are, but also it is essential to be evident how the entire team handles the workload. Therefore, it is essential that a business process is well thought-out and that several software tools are used. Training tools such as Toggl or Clockify can help you to really understand the processes underway, the amount of time spent on these projects, and the number of breaks taken in real time. This allows executives to identify the weaknesses of each worker and attempt to solve them. This doesn’t imply that you need to overuse these applications and develop stringent procedures. If you work remotely, you are likely to choose this due to the flexibility it provides you. Managers need to strike a balance between liberty and coherent timescales for their staff. For instance, they must decide which communication instruments they use to discuss issues of great significance–Chat with urgent subjects, Email with stuff to wait and Video Calls. Furthermore, all project information must be available to every member of the team (instruments like Google Drive and DropBox may assist). It must also ensure complete transparency and transparency. They also need to bear in mind always that distant workers can all operate in distinct time zones, so that everyone can tune in to a video call, it is essential to discover a time window. Also, when employing persons, you need to ensure that your location time differences are not more than 3 hours from the time zone of your office. Due to time differences, for each conference you always have to have a very clear agenda and must stick to it. Finally, you need to measure the yield to always have your hand on the pulse. Try to list all the main points in the work of each team member that indicate the performance. Set clear objectives with measurable outcomes so you can see clearly what is anticipated and how well your staff are responding to these expectations. Hold monthly reviews in the team to see how all people work together and whether everyone handles them properly. However, do not be scared to give honest feedback, remember that individuals almost always concentrate more on beneficial than adverse points. This is why executives have to be frank and always attempt to discover something useful at the end. TIP 2 – Strengthen communication skills For each team, good communication between employees is essential, but for distant teams in particular. The absence of physical attendance and distinct working schedules can all lead your team members to operate as people instead of a united front. Remote teams effectively need to interact twice if not three times the ordinary team. And executives must support these communications by creating more possibilities. Set some of your team’s prompters. Say you always mark the time places if you are on your schedule for calls. Select and ensure your team uses the primary communication instruments. Implement instruments like Slack, WebEx and Skype and let your staff know that they are available all the time. Agree on the duration of an email reply so that you understand when to expect answers to your message. Try as much as necessary to integrate video calls. IMCCAs have found that, when they actively use video conference instruments, 90% of remote personnel feel more linked with their team. Video enables your team to make a name face and bind better. When you see a individual, it’s always simpler to speak to than just by messaging. Video calling helps your distant team feel moved and isolated less. Share your screen with your team members to facilitate and clarify clarifications. Create distinct channels for sharing of interesting stuff, such as fun stories, suggestions for films or updates on TV shows that you all view. Your purpose is to create a virtual environment that fosters and enhances communication between your team. TIP 3 – Engaging, Inspiring And Motivating The main element of effective teamwork is motivation. Entrepreneur says company costs 450 to $550 billion per year in losses of productivity for an unmotivated or de-engaged employee. Managers who work with remote teams have to invest in them and work hard every day to increase morality. In distant teams it is even more essential to build a powerful corporate culture than in the physical. Begin with transparency, one of the basic elements of a driven team. You need to make sure that all of your team know precisely what the business is doing, its goals and its role. Share corporate news and updates, celebrate your own accomplishments and attempt to make your team feel real. Be frank and let them know you as their leader. Discuss yourselves with them and share your private vision. Describe the stuff you handle at the moment, so they know that you do as difficult as you do. Request your advice on various issues and opinions. Be in keeping with feedback and with your praise in particular. Don’t just ask them to do a nice job, but to highlight certain accomplishments and duties. In corporate public chats, try also to praise your distant staff for their accomplishments throughout the whole business. Create your team’s rituals and traditions. Celebrate the birthdays and unique occasions of your distant staff. Why doesn’t every team member ask for a brief video that you wish to edit later and send to your partner celebrating? Improve camaraderie with true private communication through investments at least once a year in corporate retreats where your distant team can meet in reality. Find out more here about motivating your team. TIP 4 – Select your team with wisely Hiring individuals with the correct distance to work is your halfway to achievement. It’s all about everything else. You can also influence your entire team with a lazy or unprofessional distant worker. This is why certain precautions are essential during the recruitment process. First and foremost, nobody claims you have to employ the individual from the beginning. Test your skills and abilities for a number of months by employing them part-time and giving them the opportunity to work long term when you’re sure they’re a nice addition to your staff. Don’t be stingy with salaries. Just because your employee is working remotely doesn’t mean that they aren’t doing more than your typical office worker does. In most cases, remote workers are actually doing more, so their salaries have to reflect this. Make sure your fresh remote staff can function from home. Do you have a good working environment where you can concentrate without distractions? Otherwise, it may be better to propose either paying for co-working space or buying equipment to build that room at home for them. Take into consideration that your staff can all come from distinct nations and cultures. Learn how to talk obviously and broadly convey your message. Ask your team in their message to use easy phrases and a neutral tone. Maintain a calendar of all global holidays affecting and planning your team members. Make sure fresh staff are quick to retire. Create a guide with all the primary information about your job and the instruments you use. Ask your team members to share their finest advice on remote working. Recall the faster the better they adjust. Managing distance teams can be challenging, but actually you can create a skilled, loyal, hard-working team with a few simple rules to assist your company to succeed.
The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
Since I angered some Chads on /r/investing here's why I think China is the next "big short".
Fellow idiots, I posted this comment which seems to have angered the highly sophisticated /investing community. I don't mind being downvoted but at least provide some counter arguments if you're going to be a dick. So in the pursuit of truth and tendies for all, I have prepared some juicy due diligence (DD) for WSB Capital on why China is on the verge of collapse. TL;DR at the bottom. Point 1: Defaults in China have been accelerating aggressively, and through July 2019, 274 real estate developers filed for bankruptcy, up 50% over last year. A bonus? Many Chinese state controlled banks have been filing for bankruptcy as well. Just google "china bank defaults" or something similar. Notice how many articles there are from 2019? When the banking system fails, everything else usually fails too. Point 2:The RMB has depreciated significantly. Last time this happened, in 2015-2016, there was a significant outflow of foreign invested capital. According to the IIF, outflows reached $725bn due to the currency depreciation.. This time is different why again? I have heard some arguments why there will be less outflow this time, but I struggle to buy them. Point 3: Despite wanting to operate like a developed economy, China still has not been able to shrug off the middle income trap. Their GDP per capita is comparable to countries we normally associated with being developing/emerging markets. Tangentially related to point 10. Point 4: China is an export-dependent economy, with about 20% of their exports contributing towards their GDP. Less exporting means less GDP, less consumption (because businesses make less money, they pay people less, who in turn spend less), which has a greater effect on GDP than any declines in exports would have at face value. Guess what? Chinese exports dropped 1% in August, and August imports dropped -1%, marking the 5th month this year of negative m/m export growth.. Point 5: Business confidence has been weak in China - declining at a sustained pace worse than in 2015. When businesses feel worse, they spend less, invest less in fixed assets, hire less until they feel better about the future. Which takes me to my next point. Point 6:Fixed asset investment in China has declined 30 percentage points since 2010. While rates are low, confidence is also low, and they are sitting on a record amount of leverage, which means they simply will not be able to afford additional investment. Point 7: They are an extremely levered economy with a total debt to GDP ratio of over 300%, per the IIF, which also accounts for roughly 15% of global total fucking debt. Here's an interview with someone else talking about it too. Point 8: Their central bank recently introduced a metric fuckton of stimulus into their economy. This will encourage more borrowing....add fuel to the fire. Moreover, the stimulus will mechanically likely weaken the RMB even more, which could lead to even more foreign outflows, which are already happening, see next point. Point 9: Fucking LOTS of outflows this year. As of MAY, according to this joint statement, around 40% of US companies are relocating some portion of their supply chains away from mainland. This was in May. Since May, we have seen even more tariffs imposed, why WOULD companies want to stay when exporting to the US is a lot more expensive now? Point 10: Ignoring ALL of the points above, we are in a global synchronized slowdown, with many emerging market central banks cutting rates - by the most in a decade. Investors want safety, and safe-haven denominated assets are where we have seen a lot of flocking into recently. Things that can be considered safe-havens have good liquidity, a relatively stable economy, and a predictable political environment. Would love to hear opposing thoughts if you think China is a good buy. I am not against China, nor any other country for that matter, but I am against losing money (yes, wrong sub etc.), and I can not rationalize why anyone would be putting in a bid. TL;DR: the bubble is right in front of your face, impending doom ahead, short everything, fuck /investing. Edit, since you 'tards keep asking me how to trade this, there are a few trades that come to mind:
US treasuries still have room to run (before the autists say that's not yolo enough you could trade OTM calls on UST-linked ETFs, US govvie futures for gainz)
Sell SPX companies with big supply chain exposure and heavy cost of capital, buy their competitors without these features.
Open up apparel factories in Bangladesh, India, Indonesia, Vietnam, Thailand, and sell to the US.
Buy soybeans assuming farmers get a bailout from US
I am sure there are plenty of China based ETFs which could be played, DYOR.
Short any US listed company with mainland China domicile. If shit REALLY hits the fan between US/China, there are levers that US Govt. can pull to fuck them.
While reasearching Epstein's known associates, an interesting individual stood out. Lynn Forester de Rothschild, Lady de Rothschild. No intention of this being a Rothschild Conspiracy. If your are uninterested to read the content below, scroll down to Comment to get my summary and take on this information. As always please Fact check this. (HJI) is a bi-partisan, transatlantic movement of business leaders, senior policy makers and academics focused on promoting a more Inclusive Capitalism. The HJI calls for international collaboration from businesses and other organizations to encourage the widest possible adoption of programs that improve capitalism as a driver of wellbeing for society. The HJI grew out of the Task Force project For Inclusive Capitalism, which sought solutions to the effects on society and business as a result of the global financial crisis of 2007 – 2008 and the dislocations caused by capitalism’s practice over the past 30 years. The Taskforce, which was co-chaired by Dominic Barton, Global Managing Director, McKinsey & Company, and Lady Lynn Forester de Rothschild, CEO, El Rothschild, published its inaugural paper Towards a More Inclusive Capitalism in May 2012. The report sets out three pathways for business action that lie at the heart of the HJI’s mandate:
Education for employment: addressing the gap between employer needs and employee skills
Nurture start-ups and SMEs: mentoring small businesses and improving access to credit for them
Reform management and governance for the long term: replacing today’s focus on short term performance
The HJI exists to highlight and support businesses and other organizations working to promote the broadest possible adoption of best practices in these and other areas related to Inclusive Capitalism. The HJI believes there is an urgent and compelling demand for business to act to address the greatest systemic issues facing capitalism today. The HJI also believes that business is best positioned to lead innovations in areas that need them the most.
Scoop Jackson was convinced that there's no place for partisanship in foreign and defense policy. He used to say, 'In matters of national security, the best politics is no politics.' His sense of bipartisanship was not only natural and complete; it was courageous. He wanted to be President, but I think he must have known that his outspoken ideas on the security of the Nation would deprive him of the chance to be his party's nominee in 1972 and '76. Still, he would not cut his convictions to fit the prevailing style. I'm deeply proud, as he would have been, to have Jackson Democrats serve in my administration. I'm proud that some of them have found a home here.
Jackson was known as a hawkish Democrat. He was often criticized for his support for the Vietnam War and his close ties to the defense industries of his state. His proposal of Fort Lawton as a site for an anti-ballistic missile system was strongly opposed by local residents, and Jackson was forced to modify his position on the location of the site several times, but continued to support ABM development. American Indian rights activists who protested Jackson's plan to give Fort Lawton to Seattle, instead of returning it to local tribes, staged a sit-in. In the eventual compromise, most of Fort Lawton became Discovery Park), with 20 acres (8.1 ha) leased to United Indians of All Tribes, who opened the Daybreak Star Cultural Center there in 1977. Opponents derided him as "the Senator from Boeing" and a "whore for Boeing" because of his consistent support for additional military spending on weapons systems and accusations of wrongful contributions from the company; in 1965, 80% of Boeing's contracts were military. Jackson and Magnuson's campaigning for an expensive government supersonic transport plane project eventually failed. After his death, critics pointed to Jackson's support for Japanese American internment camps during World War II as a reason to protest the placement of his bust at the University of Washington.Jackson was both an enthusiastic defender of the evacuation and a staunch proponent of the campaign to keep the Japanese-Americans from returning to the Pacific Coast after the war.
Jackson Papers controversy
Senator Jackson's documents were donated to the University of Washington shortly after his death in 1983, and have been archived there ever since.When the materials were donated in 1983, university staff removed all information considered classified at the time.Additional materials were added to the collection until 1995. At some point, library staff discovered a classified document in the collection and sent it to the government for declassification. In response, in the summer of 2004, a man who identified himself as an employee of the Central Intelligence Agency (CIA) called the University of Washington asking to inspect Senator Jackson's archived documents housed there. He found a document labelled as classified and showed this to a librarian. In February 2005, 22 years after Jackson's death, a five-person team including staff of the CIA, Department of Defense, the Department of Energy, and the Information Security Oversight Office came to library to review all of Jackson's papers to remove anything still considered classified, or reclassified since then. The Department of Energy found nothing of concern, but the CIA blanked lines in about 20 papers and pulled 8 documents out of collection. As of 2018, some files in the collection are available only to those regarded by the library as "serious researchers", who must first sign a release not to divulge some of the information contained in the files.
The Henry Jackson Society
The society was founded on 11 March 2005 by academics and students at Cambridge, including Brendan Simms, Alan Mendoza, Gideon Mailer, James Rogers and Matthew Jamison. It organises meetings with speakers in the House of Commons. The society claims that it advocates an interventionist) foreign-policy that promotes human rights and reduces suffering, by both non-military and military methods, when appropriate. In 2006, the society worked to raise the profile of the Ahwazi Arabs of Iran, who it claims are currently being oppressed by the Iranian government. After originating within the University of Cambridge, the organisation is now based in London. In April 2011 the entire staff of another London think-tank, the Centre for Social Cohesion (which has since been dissolved), joined the Henry Jackson Society. The organisation is a registered charity in England and Wales and earns financial backing from private donations and grant-making organisations which support its work. The income of the society increased significantly from 2009 to 2014, from £98,000 to £1.6 million per year. In 2017 Hannah Stuart, one of the society's Research Fellows, released Islamist Terrorism: Analysis of Offences and Attacks in the UK (1998–2015), which profiled every individual convicted under terrorism legislation in the UK between those dates with an Islamist connection.
Structure and projects
The Society has produced a breadth of research reports and papers. These have mostly focused on Islamist extremist activity in the UK, crackdowns on human rights and democracy elsewhere, and various facets of foreign policy and defence.Its current workstreams include:
Asia Studies Centre. This Centre seeks to provide "an in-depth understanding of the structural shifts, regional complexities and historic tensions that exist alongside the tremendous economic and social growth that traditionally characterise the 'rise of Asia'."Publications include a paper on the possible outcomes of the negotiations with North Korea,and the need to safeguard critical national infrastructure in the West from vulnerabilities which may be built in by China.
Global Britain Programme. Focuses on "the need for an open, confident and expansive British geostrategic policy in the twenty-first century – drawing on the United Kingdom’s unique strengths not only as an advocate for liberalism and national democracy, but also as a custodian of both the European and international orders." This centre has published papers on what the European Union 'owes' the United Kingdom, as well as advocated for increased military spending by NATO members.
Russia & Eurasia Studies Centre. Researches domestic and foreign policy issues in Russia and the former Soviet states. In 2018 the Conservative) MP Bob Seely published a paper through this Centre which sought to define 'Contemporary Russian Conflict', and in which he accused the government of Vladimir Putin of pursuing KGB-style tactics.
Centre for the New Middle East. Established following the Arab Spring, the Society describes this Centre as "dedicated to monitoring political, ideological, and military and security developments across the Middle East and providing informed assessments of their wide-ranging implications". The Centre has released reports highly critical of Iran.
Centre on Radicalisation & Terrorism. Focuses on the threat to the United Kingdom and elsewhere by Islamist terrorism. Reports have ranged from analyses of the UK charitable sector to the way in which criminals utilise the darknet.
Student Rights. Created in 2009 "as a reaction to increasing political extremism and marginalisation of vulnerable students on campus". This project has tracked what it describes as "extreme" speakers on British university campuses.
In September 2018, the Society announced the creation of a new Centre for Social and Political Risk. This Centre will "identify, diagnose and propose solutions to threats to governance in liberal Western democracies", focusing on social cohesion and integration; freedom of speech and political correctness; demographic change; and other issues.
The think tank has been described by the media as having right-wing and neoconservative leanings, though it positions itself as non-partisan.In 2014, Nafeez Ahmed, an executive director of the Institute for Policy Research & Development, said that the Henry Jackson Society courts corporate, political power to advance a distinctly illiberal oil and gas agenda in the Middle East. In 2009 the society became the secretariat of two all-party parliamentary groups (APPGs), for Transatlantic and International Security, chaired by Gisela Stuart, and for Homeland Security, chaired by Bernard Jenkin. A transparency requirement upon non-profit organisations acting as secretariat at that time was that they must reveal, on request, any corporate donors who gave £5,000 or more to the organisation over the past year or cease acting as a secretariat organisation. In 2014, following a query, the society refused to disclose this information and resigned its position as secretariat of the APPGs concerned in order to comply with the Rules. The Parliamentary Commissioner for Standards, Kathryn Hudson, upheld a complaint against these APPGs on the grounds data had not been provided, but noted the society had already resigned its position and that the consequence of this non-provision therefore "appears to have taken effect" as the Rules intended. The case was therefore closed with no further action taken and the APPGs themselves dissolved with the dissolution of Parliament in March 2015. The APPG Rules were subsequently changed in March 2015 so that only those non-profit organisations providing services to APPGs of more than £12,500 in value needed to declare their corporate donors. In July 2014 the Henry Jackson Society was sued by Lady de Rothschild over funds of a "caring capitalism" summit. Lady de Rothschild claims that she has financed the summit and that HJS and its executive director Alan Mendoza are holding £137,000 of “surplus funds” from the conference that should be returned to the couple’s investment company EL Rothschild. Think tank discussions on the Middle East and Islam have led some media organisations to criticise a perceived anti-Muslim agenda. Marko Attila Hoare, a former senior member, cited related reasons for leaving the think tank and Scottish Labour leader Jim Murphy was urged, in 2015, to sever his links with the society. According to the report published in 2015, "a right-wing politics is apparent not only in the ideas that the Henry Jackson Society promotes, but also emerges distinctly on examination of its funders." In 2017, the Henry Jackson Society was accused of running an anti-China propaganda campaign after the Japanese embassy gave them a monthly fee of 10,000 pounds.The campaign was said to be aimed at planting Japan's concerns about China in British newspapers. Co-founder Matthew Jamison wrote in 2017 that he was ashamed of his involvement, having never imagined the Henry Jackson Society "would become a far-right, deeply anti-Muslim racist [...] propaganda outfit to smear other cultures, religions and ethnic groups." "The HJS for many years has relentlessly demonised Muslims and Islam." In January 2019, Nikita Malik of the Henry Jackson Society provided The Daily Telegraph with information they claimed showed a Muslim scout leader was linked to Islamic extremists and Holocaust deniers.In January 2020 The Daily Telegraph issued a retraction and formal apology saying that: "the articles said that Ahammed Hussain had links to extremist Muslim Groups that promoted terrorism and anti-Semitism, and could have suggested that he supported those views and encouraged their dissemination. We now accept that this was wrong and that Mr Hussain has never supported or promoted terrorism, or been anti-Semitic.We acted in good faith on information received but we now accept that the article is defamatory of Mr Hussain and false, and apologise for the distress caused to him in publishing it. We have agreed to pay him damages and costs." The initial signatories of the statement of principles included:
This has been a rabbit hole and only half the story regarding Lady Forester. Then only link between Lady Forester and Jeffrey Epstein is In 1995, financier Lynn Forester discussed "Jeffrey Epstein and currency stabilization" with Clinton. Epstein, according to his own accounts, was heavily involved in the foreign exchange market and traded large amounts of currency in the unregulated forex market. I will post another story Lady Forester and the coalition for Inclusive Capitalism.
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15 Download PDF of this article here:https://docdro.id/6eLgUPo In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company. Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound. In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it! Stock code: 5199.KL Stock name: Hibiscus Petroleum Berhad Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199 Company website: https://www.hibiscuspetroleum.com/
Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as: · looking for oil, · drawing it out of the ground, and · selling it on global oil markets. This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020). https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684 https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields. Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices. At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.
Reserves (Total recoverable oil) & Production (bbl/day)
To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production. In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below: As defined by the SPE PRMS,Reservesare “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.) Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:) - A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria;- A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development;- Evidence that the necessary production and transportation facilities are available or can be made available; and- Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated. Contingent Resources and Prospective Resources are further defined as below: -Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and)-Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes. In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes: - Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate;- Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and- High/3C/3P estimate: there is a low probability that the estimate will be exceeded. Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”. However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation: https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78 Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022). Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl. In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources. https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604 The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl). This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million). However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus. To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field. North Sabah oil field https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field. For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are: · Average uptime · Total oil sold · Average realized oil price · Average OPEX per bbl With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields. Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime. As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross. We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl. Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl. Thus, we can sum up the above financial performance of the North Sabah field with the following figures: · Total oil sold: 2,075,305 bbl · Average realized oil price: USD 68.57/bbl · Average OPEX per bbl: USD 13.23/bbl Anasuria oil field https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field: · Total oil sold: 1,073,304 bbl · Average realized oil price: USD 63.57/bbl · Average OPEX per bbl: USD 23.22/bbl As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.
Valuation (Method 1)
Putting the figures from both oil fields together, we get the following data: https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2 Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x. Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant: https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2 From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices. Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).
Valuation (Method 2)
Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another. As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it. https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8 From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet). Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit: https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves ofRM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price. However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that. Intangible Assets I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet. As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion). https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all? To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs: E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets. E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.) Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment. On page 169 of the AR20, we find the following: Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).) So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate. Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required. So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following: Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116)) Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation? Fortunately, we find just that on page 185: 17 INTANGIBLE ASSETS (CONTINUED) (a Anasuria Cluster) The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.) The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows: (i Discount rate of 10%;) (ii Future cost inflation factor of 2% per annum;) (iii Oil price forecast based on the oil price forward curve from independent parties; and,) (iv Oil production profile based on the assessment by independent oil and gas reserve experts.) Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount. (b North Sabah) The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements. The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year. Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field. How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively. In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billionapproximates the accumulated Net Profit recoverable from 2P reserves. To conclude Valuation (Method 2), we arrive at the following:
Accumulated Net Profit from 2P Reserves
RM 1.452 billion
RM 1.468 billion
By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis. For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business. https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b Income Statement First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m. Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32). https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60 This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m). Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later. Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis. Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment. Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense. https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8 Balance Sheet The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity. We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again. Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations. Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes. Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020) Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m. Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes. The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large. We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m. Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices. Cash Flow Statement There is nothing in the cash flow statement which warrants concern. Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI. Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).
There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are: · Oil prices remaining subdued for long periods of time · Fluctuation of exchange rates · Customer concentration risk · 2P Reserves being less than estimated · Significant current and non-current liabilities · Potential issuance of equity Oil prices remaining subdued Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing. Table 1: Hibiscus EBITDA at different oil price and exchange rates https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51 The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36. Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green). Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing. Customer Concentration Risk With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished. 2P Reserves being less than estimated 2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’). Significant non-current and current liabilities The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern. Potential issuance of equity Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years. Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out. However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.
As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below: · Increased Daily Oil Production Rate · Inclusion of 2C Resources · Future oil prices exceeding $50 and effects from coronavirus dissipating Increased Daily Oil Production Rate The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production. The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward. By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day). Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day). This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet. Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day. While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations. Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates: Table 2: Hibiscus EBITDA at different oil price and daily oil production rates https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159 The left column represents different oil prices while the top row represents different daily oil production rates. The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day. Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above. 2C Resources Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates. To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil. https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil. Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY21 (incl. 2C)
Daily oil production (bbl/day)
Average oil price (USD/bbl)
Average OPEX/bbl (USD)
EBITDA (RM ‘m)
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20. For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby. Future oil prices exceeding $50 and effects from coronavirus dissipating Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented). Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years. When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.
Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
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