Bullish Three Outside Up — Candlestick Pattern — Forex Videos

Here's some trading advice from a fellow trader

I currently manage around half a million dollars and have been trading for 6+ years with 3 years of consistent profitability. Paid for my trading lessons the hard way by losing a lot of money at first. Here's some advice that might help you.
1) Treat trading like a business. I know you probably heard this 100 times before but I feel like I should emphasize this point. Majority of traders overestimate their ability to make money and underestimate their risk exposure.
2) Think long term. The more complex your trading system is, the less freedom it has in terms of flexibility because of too many variables in your analysis. So, keep your trading system simple.
3) Do not rationalize or predict the market. Do not look for comfort in your strategy. In fact, do the reverse. Find comfort in the thought that markets are chaotic and there's always a good chance of you losing a lot of money. This should keep you up on your toes and controls your greed during a profitable streak (You are not a money printing machine, trust me. )
4) Every trade you open should be assumed as a loss. This is very important in terms of having a healthy mindset towards managing risk. I never open a position based on how much money I can make. I do it based on how much I can afford to lose in this particular trade.
5) Biggest mistake I have observed while working with other traders is not doing their homework. If you don't plan your trades before the day even began, then you will develop a mindset of chasing the market which will lead to your downfall. Which brings me to my next point
6) Maintain three things - a) your daily trading notes that you read before you begin trading b) market observation notes which includes particular strategies and observations in specific markets and c) a full fledged trading journal where you record everything you traded. Always remember that majority of your trading work is done when you're not trading.
7) Journaling is the most important and also most neglected part of trading and most traders, including some very good traders do it in a wrong way. How do I know that?
Let me ask you something : Tell me about what kind of trading setups were the most and least profitable in the last 100 trades. Explain them to me in detail including your analysis and opinion on what you think might have happened.
If you can answer this in detail and with specific examples from your last 100 trades then I know you have a good journaling habit. If you cannot , then it's time to improve on your record keeping. Remember that your journals are the only way you can guarantee that you will grow as a trader.
8) Remember this no matter what - Not having a position in the market is itself a position if you know what you are doing. There's no need for you to always trade all day everyday and try to make money. In fact, I can guarantee you that markets will not always behave according to your trading system and during those times trying to "find a needle in a haystack " type of behavior is reckless and will take an emotional toll on your mind. Just sit on the sidelines if the market isn't moving according to your system.
9) There's no thing as overbought or oversold scenarios especially in forex. Heaving a bearish bias because the market moved up by a lot is just ridiculous and most likely guarantee that you miss out on bullish scenarios. If you start developing a bearish bias after a huge bullish move then you better have a damn good reason for it instead of just saying " It moved up by a lot so I'm expecting a reversal".
10) This one is a personal opinion. Always remember to take breaks and relax during the weekends. Managing stress while maintaining performance is a huge part of the job and I don't want you to burn out after a few months of serious trading everyday. Maintain a decent social life outside of trading to keep your sanity intact. Get some hobbies. Your health and well being is very important to your long term performance as a trader so don't neglect it.
submitted by mechz21 to Forex [link] [comments]

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
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
  • Reversals
  • 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.

Logical reversals

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.

Crazy reversals


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.

Surveys

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.

GDP

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.

Inflation

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.

Industrial data

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.

Comments

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.

submitted by getmrmarket to Forex [link] [comments]

Chance Me: CS Major

Reposting because I didn't get input last time.
Demographics: Indian. Male. From ProspeFrisco Texas. Middle/Upper class area. I would say my high school is very competitive.
Intended Major(s): Computer Science
ACT/SAT/SAT II: SAT: Have not taken a real test. I have taken three practice test all resulted 1440+. Prepping for 1500+, but consider my score to be a flat 1400 for now.
UW GPA and Rank: UW: 3.981 Rank: 12/979
Coursework:
Freshmen Year:
- Honors French 1 (Highest Level that year available to me )
- HonoGT Geometry (Highest Level that year available to me )
- Honors Computer Science 1
- Honors Biology (Highest Level that year available to me )
- AP Human (Highest Level that year available to me ) (4)
- Honors English 1 (Highest Level that year available to me )
- Outdoor Education (Required)
- Digital Art and Animation (Required)
Sophomore Year:
- Honors English 2 (Highest Level that year available to me )
- Honors French 2 (Highest Level that year available to me )
- AP Computer Science A (Highest Level that year available to me ) (5)
- AP Computer Science Principles (Highest Level that year available to me ) (4)
- AP World History (Highest Level that year available to me )
- AP Biology (Highest Level that year available to me ) (3) <-- Not sending this score
- Honors Chemistry (Highest Level that year available to me )
- Honors Algebra 2 (Highest Level that year available to me )
- Academic Level Architecture (Highest Level that year available to me )
Junior Year:
- AP English 3 (Highest Level that year available to me )
- Independent Studies in Video Games (AP Level but not AP) (Highest Level that year available to me )
- Honors UIL Math Prep
- Ap Physics 1 (Highest Level that year available to me ) (5)
- Academic Level US History
- AP Chemistry (Highest Level that year available to me ) (4)
- AP Environmental (Highest Level that year available to me ) (5)
- Honors Pre-Cal (Highest Level that year available to me )
Senior Year (will take upcoming year):
- Honors Computer Science 3 (Highest Level that year available to me )
- Honors Computer Science 2 (Highest Level that year available to me )
- AP English 4 (Highest Level that year available to me )
- AP Gov/Econ (Highest Level that year available to me )
- AP Physics C (Highest Level that year available to me )
- AP Calc BC (Highest Level that year available to me )
- AP Stats (Highest Level that year available to me )
- Still Deciding but not AP for sure.
Awards:
- Adobe Certified Associate - Visual Design using Adobe Photoshop CC2015
- Aloha Math Competition Certificate.
- UIL Math Competition Certificate.
- Multiple Student of the month award
Extracurriculars:
Essays/LORs:
Essays, I have not started.
Letter of Rec: I have three incoming from my teachers. English/CounseloComputer Science/ Math (waiting for response)
Schools:
- MIT,
- Brown University
- Caltech
- Carnegie Mellon
- Columbia University
- Cornell University
- Duke University
- Georgia Institute
- Hamilton
- Harvard University
- Johns Hopkins University
- Princeton University
- Purdue University
- Rice University
- Stanford
- UMich
- UT Austin
- UT Dallas
- Texas A&M
- UC Berkley
submitted by goyalyug000 to chanceme [link] [comments]

What are my chances?

Demographics: Indian. Male. From ProspeFrisco Texas. Middle/Upper class area. I would say my high school is very competitive.
Intended Major(s): Computer Science
ACT/SAT/SAT II: SAT: Have not taken a real test. I have taken three practice test all resulted 1440+. Prepping for 1500+, but consider my score to be a flat 1400 for now.
UW GPA and Rank: UW: 3.981 Rank: 12/979
Coursework:
Freshmen Year:
- Honors French 1 (Highest Level that year available to me )
- HonoGT Geometry (Highest Level that year available to me )
- Honors Computer Science 1
- Honors Biology (Highest Level that year available to me )
- AP Human (Highest Level that year available to me ) (4)
- Honors English 1 (Highest Level that year available to me )
- Outdoor Education (Required)
- Digital Art and Animation (Required)
Sophomore Year:
- Honors English 2 (Highest Level that year available to me )
- Honors French 2 (Highest Level that year available to me )
- AP Computer Science A (Highest Level that year available to me ) (5)
- AP Computer Science Principles (Highest Level that year available to me ) (4)
- AP World History (Highest Level that year available to me )
- AP Biology (Highest Level that year available to me ) (3) <-- Not sending this score
- Honors Chemistry (Highest Level that year available to me )
- Honors Algebra 2 (Highest Level that year available to me )
- Academic Level Architecture (Highest Level that year available to me )
Junior Year:
- AP English 3 (Highest Level that year available to me )
- Independent Studies in Video Games (AP Level but not AP) (Highest Level that year available to me )
- Honors UIL Math Prep
- Ap Physics 1 (Highest Level that year available to me ) (5)
- Academic Level US History
- AP Chemistry (Highest Level that year available to me ) (4)
- AP Environmental (Highest Level that year available to me ) (5)
- Honors Pre-Cal (Highest Level that year available to me )
Senior Year (will take upcoming year):
- Honors Computer Science 3 (Highest Level that year available to me )
- Honors Computer Science 2 (Highest Level that year available to me )
- AP English 4 (Highest Level that year available to me )
- AP Gov/Econ (Highest Level that year available to me )
- AP Physics C (Highest Level that year available to me )
- AP Calc BC (Highest Level that year available to me )
- AP Stats (Highest Level that year available to me )
- Still Deciding but not AP for sure.

Awards:
- Adobe Certified Associate - Visual Design using Adobe Photoshop CC2015
- Aloha Math Competition Certificate.
- UIL Math Competition Certificate.
- Multiple Student of the month award
Extracurriculars:
Essays/LORs:
Essays, I have not started.
Letter of Rec: I have three incoming from my teachers. English/CounseloComputer Science/ Math (waiting for response)
Schools:
- MIT,
- Brown University
- Caltech
- Carnegie Mellon
- Columbia University
- Cornell University
- Duke University
- Georgia Institute
- Hamilton
- Harvard University
- Johns Hopkins University
- Princeton University
- Purdue University
- Rice University
- Stanford
- UMich
- UT Austin
- UT Dallas
- Texas A&M
- UC Berkley
submitted by goyalyug000 to chanceme [link] [comments]

Inflation, Gauge Symmetry, and the big Guh.

Inflation, Gauge Symmetry, and the big Guh.
Sup retards, back at it with the DD/macro.
scroll to the rain man stuff after the crayons if you don't care about the why or how.
TLDR:
June 19 $250 SPY puts
May 20 $4 USO puts
SPY under 150 by January next year.

So I was going about my business, trying to not $ROPE myself as my sweet tendies I made during the waterfall of March have evaporated, however, I heard that the fed was adding another $2.3T in monopoly money to the bankers pile specifically to help facilitate these loan programs being rolled out.
In short, they are backing these dumb-ass, zero recourse, federally mandated, loans with printing press money.
But cumguzzler OP, your title is about inflation and guage simp--try, why are you talking about the fed #ban.
Well, when you print money it is an inflationary action in theory. Let me explain.

EDUMACATION TIME

What is inflation? Inflation is the sustained increase in the price level in goods and services. Inflation is derived from a general price index, and in the US, from the consumer price index. Knowing that inflation is an outcome, not a set policy is very important. Inflation is a measurement after the fact, much like your technical astrology indicators. (**ps, use order flow in your TA you wizards**)
HOWEVER, the actual act of buying bundles of these loans does not directly impact inflation.
Now what is Gauge symmetry? Gauge symmetry is a function of math and theoretical physics that can be applied to finance models. What a gauge is, is a measurement. Gauge symmetry is when the underlying variable of something changes, however, we do not observe that variable change.
A great example of this is if you and a friend are moving, and your friend is holding a box of tendies. The box is a cube, equal on all sides. If you turn away for a moment and she rotates the cube 90 degrees while you are not looking, and you look back - you would have no idea the cube was rotated. There was a very real change in the position of the cube in relation to space-time. Your friend acted on it. But you didn't measure it, in fact it would be impossible for you to determine if the box was changed at all if you weren't observing it. That movement of the box where you didn't observe it, is called gauge transformation and happens literally more then JPow fucks my mom in quantum physics. The object observably exactly the same even though it is not physically the same. The act of it existing as an observably the same box is gauge symmetry - it is by observation symmetrical.
Why this is important, is that fiat money doesn't have any absolute meaning. The value of $1 is arbitrary. furthermore, Inflation is a Guage symmetry. Inflation has no real impact on the real value of the underlying goods and services, but rather serves as a metric to measure the shift of value across a timeline.
When JPow starts pluggin' your mom along with all these balance sheets, there is a gauge symmetry event happening. The money he is printing is entering the system (gauge transformation), this isn't an issue if all pricing against the USD get shifted equally, however, the market is not accounting for this money because we don't have real-time data on what is being applied where, we only get a slow drip in terms of weekly and monthly reports. WE HAVE OUR EYES CLOSED. This is a gauge symmetry event.
When this happens in real terms, the market becomes dislocated from its real value price. Well how do we know there is a dislocation?
"YoU JuSt SaId tHe UnDeRlYiNg VaLuE iZ AbStRaCkKt HuRr QE aNd MaRkEtS Iz ComPlEx ReAd A TeXtBuK AbOuT FrAcTiOnAl ReSErVe BanKiNg YoU NeRd." - **anyone rationalizing the bull run**
We can look at Forex you fish.
USD lives in a bubble. The Yen is in a bubble, the RMB is in a bubble, and we exchange with each other. the Jap central bank has little effect on the CPI index (cost of goods and services) of the US. If the Yen prints a gazillion dollars, the USD is not effected EXCEPT in its exchange rate. YEN:USD would see a sizeable differential the more Yen is printed and vise-versa.
So NOW instead of JPow getting away with plowing your girlfriend, we can catch the bitch.
Instead of looking at the gauge transformation at face value and then giving up because it is symmetrical output, we can look and see if this gauge symmetry carries over to the foreign exchange market. Well guess what happens when you look at the value of the USD against foreign currencies.
Consistent uncertainty during the fed operations. Meaning the market of banks that partake in FX swaps don't know where to spot the USD. Generally a very very bad thing.
Value of the USD to Euro 2017-2020, notice the slow decline, then the chaos at the end
Above is the value of the USD to Euro, notice the sloping decline. The dollar has been growing weaker since 2017. At the end you see our present issues, lets #ENHANCE
USD to Euro, January 2020 to Present
When you see those spikes, those are days in between Fed action. The value of the US goes up when the fed doesn't print because people aren't spending. Non-spending is a deflationary event and has a direct impact on the CPI. However, each drop when you line up the dates, was a date of Fed spending.
Lets look outside of the Eurozone.

This is the RMB to USD. Yes China manipulates, but look at the end of the graph
China manipulated rates early in 2018 however you can see the steady incline upward towards the of 2018. More specifically, lets look at it since December.
RMB value against USD, January to Now
You Can see the Chinese RMB has been gaining steam since December, even with Chinese production falling off a cliff all through this pandemic.

What this rain man level autism means for the economy.

Looking across the board at Forex we can see the USD having a schizo panic attack jumping up and down like me at a mathematics lecture.
But what does all this gauge BDSM and shit have to do with the markets? Well it shows 1 of 3 things are occuring.
  1. The fed is printing money to offset deflationary pressures of the economy being fuk for the past month, and therefore all this printing is offset by the loss of liquidity throughout the system and we are all retared. (SECRET: THIS IS WHAT ALL THE INSTITUTIONS THINK IS HAPPENING AND WE WILL ALL BE FINE.)
  2. The deflationary event is overplayed, and JPow just is nailing his coffin together. This would result in long term hyperinflation similiar to the Weimar republic. The only hedge against this is to load up on strong currency that do not manipulate and have enough distance from US markets that they can have some safety (ironically the Ruble is the safest currency. Low link to the USD and not influenced by China, and on discount rn)
  3. The gauge transformation is actually not as severe as they are blurting out, the fed does not pass go, does not actually print 10 Trillion dollars, and this was all a marketing ploy to not get Trump involved and prop markets. In this case, the real deflationary event is real, the USD red rockets harder then my cock and we end up market-wise at a very high asset price in relation to real value. This one is most dangerous because it increases the real value of debt and has mass dislocation between real value and market cap. You took debt at a fixed interest rate and a fixed principal, this would cause the biggest GUH in history when all of a sudden you are $100 million in debt and your revenue was $50 million a year ago, but now is only $25 million. That $100 million in debt is still $100 million and now you have a credit crisis because past values of money were inflated. This spirals into a large scale solvency crisis of any company utilizing current growth methodology (levering up to your tits in debt)
In only 1 of these 3 scenarios do we see any sort of "good" outcome? That would be the offset of deflationary pressures.
It is very important to understand that inflation is only a measurement, and itself does not denote value of real goods and services.

Option 1 of a print fiesta that works (something similar to 1981-82) seems possible. A similar environment and reaction occured in the early 80s when the government brute-forced a bull run using these same offset theorems but in that situation, Volker at the fed had interest rates at 21.5% and had 20% to come down to stimulate the inflationary reaction.
Long term this would just lever up more debt and expanded the real wealth gap over time because we kicked the can down the road another 15 years. If that happens again socioeconomically I don't see capitalism surviving (yeah Im on my high horse get over it). This is the option that many fiscal policymakers and talking heads abide by and the reason why the markets are green. However, it is really just kicking it down the road and expanding real wealth inequality. You think Bernie Sanders is bad, wait until homes cost $3million dollars in Kentucky and AOC Jr comes around.

If we get option 2, we see hyperinflation and we turn into Zimbabwe, which is great, I've always wanted to see Africa. Long term we could push interest rate back to 1980 Volker levels and slowly revalue the US against real value commodities already pegged to the USD like oil. This would be a short term shock but because of international reliance on the USD system, we could slowly de-lever this inflation over 2-3 years and be back to normal capacity although the markets would blow their O-ring. Recession yes, but no long term depression.

If we get option 3, the worst long term option in my opinion, basically any company with any revolver line drawn down when that hits is going to go under, private equity won't touch it with a 20ft stick because cashflows couldn't possibly handle the debt on the end of the lever, and we see mass long term unemployment. The only way out of the spiral of option three is inflationary pressure from the fed+government, but because we are already so far down the rabbit hole at the current moment there's no fucking way we could print another 10 trillion. USD treasuries couldn't handle the guh and we would essentially be functionally forced into a long term (7-10 year) depression because nothing anyone could do would delever the value of the dollar. This would result in the long term collapse of the United States as a world power and would render us like Russia in 1991.

Thank you for coming to my ted talk.
submitted by TaxationIsTh3ft to wallstreetbets [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

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.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • 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)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Running a ponzi and stealing $180K, IRL.


I wanted to write a quick post in answer to the people who routinely make claims I have a history of stealing from people in my previous company and base this upon a blog they read. If you would like to discuss this further, please make a post and link it to me to engage on. I will do so as long as we deal with the facts of how a PAMM company really works.
I won't engage in circular debates where the essential point is, "I don't believe you". You don't have to - that's not how any of this works. Just fact check.

Anti-SEO:

I want to avoid Google ranking on this post. Although for my personal 'PR' it would be beneficial to aim to rank something answering claims, at some points in this some others involved in the company will not really come over in the best light. I assume it's likely these people are still involved things (Not spoke with them for 5 yrs) - It'd be unfair to rank bad PR on them.

The failure of the company was squarely due to me. Anything anyone else did either would not have happened or not have mattered if I'd done better. I do not want anything I do now to further hinder anyone.

So I will refer to names by only one letter (or number if applicable).

Ponzi Claims:


I found it strange at the time this ended up centred around the ponzi scheme side of things. There was a reasonable question to be asked and answered as to if it was a pyramid scheme. Were people signing up just to sign people up, or was there a core product of fair market value. The services sold I'd previously ran at the same sort of price point direct to market - so I felt on fairly good ground on that.
Initially I's actually been a bit excited initially, because I was a reader of the blog in question and I liked the work they'd done on pyramid schemes. I thought I'd be able to either validate I was doing things right, or learn how I should be doing them better. I never thought the ponzi side of it would take any more than a few minutes to clear up. But that was not so ...
A ponzi scheme was to all intents and purposes impossible. All of our business was done via three different brokers and all of our results publicly tracked with close to real time updates for marketing purposes. Of the three brokers we were using, two of them had good regulation. An off-shore broker had to be used for US clients, so this is the only one with any sort of question mark.
All of our results over all the brokers were almost identical (Some execution/costs variance). The two regulated brokers were under different regulators. Most, if not all, the brokers held clients funds in segregated accounts. All brokers would have to have been fully complicit in the scam - and it costs more to get regulated than there was to steal. Logically, it could not have been so.
We were using a PAMM model. This works by the client opening a brokerage account and signing a LPoA to allow trades to be copied onto their account. The LPoA grants the company no access to the funds. Money laundering laws also dictate the funds can only be redeemed to same source they were funded. PAMMs are big business. Protection of all parties is built into it, it's a well trusted model.
This should have taken no less than 5 minutes to self verify. It could not have been a ponzi.

£50,000 Fine:


That happened. Turns out if you set up a PAMM in the Netherlands and then let a bunch of people refer investment to it this is classed as running a ... I can't remember exactly and even at the time it was in Dutch so I didn't personally read it all. The underlying problem was not the model in any way. We were told at the time we basically jut had to pay £2,000 for each country we did business in.
We were global. At this time the company had neither the money to do that, or pay the fine they gave us for not having the money to do that.
My mistaken assumption was that since when you run a PAMM you are basically piggybacking off the broker's licence, all was well and good. This was true - but the problem was sourcing. Paying people to refer investment was what we were fined for when you get right down to it.

$180,000 Stolen:


This was just a headline. In many ways it's misleading. Firstly, nothing was stolen or even taken. It was lost or given away to clients who'd lost in the PAMMs that went bad. All the money lost was lost trying to get enough money to make good all the PAMMs. So it was not stolen, and there is nothing in anyway to imply that's a suitable word to use. In the blog, no explanation of that is offered.
What seems to be inferred is that this was commissions due out to clients that the company kept. Even outside the above mentioned this would be wrong. All affiliates were paid. You will not find a single one who says they were not. Further to that, of all the funds invested into the company (We'll call the company '5') somewhere in the 60 - 70% range was sourced directly by me.
Other funds were sourced by my co-founder. Investments were made through passive advertising without them being attributed to a refer. All in all, assuming we did not pay the affiliates and we had this much, $18,000 would be the number. Of the $180,000 somewhere a bit over $100,000 would have been mine. I never took that, and could not have "Stolen" it.
I don't see the point in getting super technical on everything by going through how, but the number also probably wasn't $180,000. I think this was an overestimate made in a throw away comment by my co-founder (We'll call her 'M') who was (Justifiably) extremely angry at me at the time she came up with the number and added it in a post (Of this multi paragraph post, this one line and one number was taken - if memory servers, all context was left out when the blogger cited this as stolen. Which would make sense. The post was berating me for losing the money. That didn't fit the narrative.

What Backs the Story?

Of all of the claims of wrongdoing (Apart from the fine, which is documented and true) - there is no evidence proposed for any of the claims made. All of it hinges on a story told to the blogger by one person, who was another of my co-founders 'We'll call her 'E'. E was either a late teenager or very early 20s at the time.
In the founding of 5, E was essential. Before 5 I'd been running a service selling trading signals and selling them at $5 a week subscription. I was generating a lot of business (Working all day, every day and having fun with it. Like I did here for a while, but at that time I really was marketing). 5 - 10 people a day could be signing up.
I knew nothing at all about how to structure an online business. No listing of new clients to send emails. Nothing about making membership sites with password access etc. I was working off a Wix site I made myself with no on-boarding system in place. The volume of people joining was crushing me. I could not process them and was getting a lot of PayPal disputes.
I wanted to send them the stuff. Just did not have the process to ensure this was being done. E stepped in and saved me on that. She made original 5 website (On Wordpress, I believe it was later upgraded to something else). Set up memberships payments. Automated listing. Also she suggested changing the name to what the company became. E made the work I was doing work.
After that, she had varying performance. Her gripe in the blog is she was not paid for helping to found the company. Left out of this is the fact she was not paid because she was head of marketing and we were not getting enough clients. Almost all of them coming from me hitting the DMs and signing people up the old fashioned way.
On results of trading, everything was going well (and this was my area). Things were going so well people legit through it must be a ponzi! But we did not have in-flow of clients. On this I again blame myself. I sort of assumed this would all work itself out and did not put focus on fixing problems before they became problems.
There was a lot of pressure on everyone. E got into a new romantic relationship. I think she was heavily influenced by this person (I found E to be good hearted on the whole). E and M started to get along less and less. Then E and M seemed to hate each other. It all seemed to come from nowhere, but it quickly got to the point me and M felt it was not working with E, and she thought the same.
Pretty much everything is based upon the story told to the blogger by E. As I've said before I found her to be a good heart overall and believe she was influenced into doing what she did, and would not have done it on her own gumption. Therefore I won't rip into her; but if you're reading, 'E' (Won't be lol) - that was a bit naughty, wasn't it? Little 'Economic with the truth'.

Why would the blogger post such big claims with no evidence?

People should ask themselves this on the first read through of the blog, to be fair. If you're a single source reporting on a story - tell how you know it's true. I think this mainly came down to revenge. After the ponzi thing I wrote blog line by line ripping the initial blog to bits. It was written in a very cheeky sort of tone, and what I was saying was right.
He then played, "My blog's bigger than your blog" , on which he was right.

If you think there is some smoking gun here in any way, just email the blogger and ask them how they know. What evidence were they ever given any money was stolen. There was none.

Money taken from the company:

In it's sad and drawn out end, cash on hand and assets within the company got down to around $10,000 and we were due out over 10* this to clients who I wanted to pay back. I was not bringing in new business (It seemed unethical to do until I fixed old problems - this was a miscalculation. No business was the big problem) and there was the 50K fine.
The company was essentially bankrupt. I wanted to use the remaining 10K to have one last ditch effort to re-coup losses, or randomly select clients to pay the 10K to. M didn't. At this time we fell out (Forever). I have no idea what happened to that 10K. I think M probably kept it. At the time I was livid about that - but to be honest, after all the work she did she deserved something. Losing was not her fault. To 'M' if you're reading (Won't be), I'm sorry.

What went wrong?


I was not good enough. When I got ahead I thought I was coasting. I came from a background of having nothing and as soon as I started to make a few grand I assumed I was gliding to being a millionaire. I stopped learning. Stopped improving. I never watered what I planted, and it withered and died.
I fail. Turns out you can not coast up a learning curve without ending up on your arse.
submitted by 2020sbear to u/2020sbear [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)


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/

Company Snapshot

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, Reserves are “… 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 of RM 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 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:

Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion

Financials

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).

Risks

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.

Opportunities

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:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
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.

Conclusion

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.
submitted by investorinvestor to SecurityAnalysis [link] [comments]

Cases Displaying the Recent Climate of Chinese Economy

This is just a plain list that records the notable cases about China's recent economic woes.
China is rumoured to delay indefinitely its US-China phase one trade deal (fact sheet PDF) implementation that includes the increase of China's purchasing American products & services by at least $200 billion over the next two years, which is almost twice the size of what China purchased before the trade war began.
Okay.
And according to Tianyancha (天眼查), Chinese commercial database that compiles public records; more than 460,000 companies in China closed permanently in Q1 2020, with more than half of them having operated for under three years. [LINK]
Of course, this is mainly caused by the COVID-19 pandemic.
However, what's interesting to me is the following part: "more than half of them having operated for under three years." What happened three years ago?
Once you figure out how big the trade war has played in China's recent economic woes (the article samples listed below may help),
the real question is whose investment or money in China was getting destroyed especially for the last three years.
Other than the article samples listed below, two other data elements that would need to be assessed are: 1) financial loss from the US' blocking Huawei mobile OS & 5G and 2) financial loss from BRI projects.
With CCP, who has been working with Huawei as a team for a long time? [1] [2] [3]
........................................
Tale of How Shanghai clique and Prominent Globalists Got Together.
........................................
Sep 09, 2015 -- Fortune Reports: The real ticking time bomb in China’s economy [LINK]
"[China's] Local governments have borrowed this money with the blessing of China’s central government. In fact, China’s much-lauded $570 billion stimulus package in 2008, which dwarfed the American response to its crisis relative to each country’s respective GDP was funded mostly by local government debt. That program helped power China’s economic growth since 2008, but the dividends are now drying up. As Chinese growth slows, the central government is worried about the local governments’ abilities to finance the debt.
China could continue to kick the can down the road by bailing out its insolvent local governments. But this would run counter to President Xi Jinping’s efforts to curb the power of local officials and shift China’s growth model from investment led to consumption led. Last week, Beijing placed a $16 trillion yuan cap on Chinese government debt, up $600 million yuan from a cap it set last year. And this is after the government has been swapping debt with local governments, buying up real estate-financed local debt in place of government debt officially backed by the Chinese government."
Aug 24, 2016 -- SCMP: Wanted posters for fugitive debtors and runaway bosses symptoms of China’s economic woes [LINK]
"In the first seven months of this year, there were 38 instances of default by 18 bond issuers on the mainland, six of them SOEs. The defaults involved 24.8 billion yuan, more than double the total for the past two years combined. And while only a third of issuers in default this year were SOEs, they accounted for about two-thirds of the amount in default."
Jul 12, 2017 -- The Nikkei Reports: China government auditor flags dodgy books at key state companies [LINK]
"China's National Audit Office) delved into financial statements from 20 of the 101 state enterprises directly controlled by the central government, focusing on filings from the year 2015. The records are notoriously difficult for outsiders to access, as many of the companies are core unlisted units of major state-backed business groups.
Improprieties were unearthed at 18 of the 20, including 200.1 billion yuan ($29.4 billion) in revenue inflation over the last several years and roughly 20.3 billion yuan in improperly booked profit. Culprits included China National Petroleum, one of the country's largest oil producers; China National Chemical, or ChemChina, which recently acquired Switzerland's Syngenta, the world's top maker of agrochemicals; and China Baowu Steel Group."
........................................
2018
........................................
Jul 16: China’s $42-Trillion Debt Bubble Looms Larger than Trade War [LINK]
Oct 10: Financial woes build for HNA Group, forcing sale of subsidiaries and property [LINK]
........................................
2019
........................................
Jan 25: Sinopec Says It Lost $688 Million on ‘Misjudged’ Oil Prices [LINK]
Jun 11: China’s debt disease might wreck its uncrashable housing market [LINK]
Jul 18: More than 50 companies reportedly pull production out of China due to trade war [LINK]
Jul 19: China Minsheng Investment says it cannot repay the principal and interest on US$500 million of bonds as its debt woe deteriorates [LINK]
Sep 06: China Injects $126 Billion Into Its Slowing Economy [LINK]
Oct 06: China's foreign exchange reserves fallen to mere $3.1 trillion USD [LINK]
Nov 06: China Embraces Bankruptcy, U.S.-Style, to Cushion a Slowing Economy [LINK]
Nov 25: China Faces Biggest State Firm Offshore Debt Failure in 20 Years [LINK]
Nov 28: Chinese navy set to build fourth aircraft carrier, but plans for a more advanced ship are put on hold [LINK]
Dec 02: Tech Firm Peking University Founder Welches on USD 284 Million SCP, Has USD 43 Billion Debt [LINK]
Dec 02: Sinopec Group Slims Down Amid Push to Reinvigorate State Firms [LINK]
Dec 13: Fact Sheet: Agreement Between The United States Of America And The People’s Republic Of China Text [PDF LINK]
Dec 19: Money has been leaving China at a record rate. Beijing is battling to stem the tide [LINK]
Money was leaving the country at a record clip earlier this year through unauthorized channels, according to analysts. That's bad news for China, which needs to keep financial reserves high to maintain confidence in its markets.
........................................
2020
........................................
Feb 03: Coronavirus May Delay Hard-Fought U.S. Trade Wins in China [LINK]
Feb 16: China's Evergrande to offer 25% discount for all properties on sale in Feb, March [LINK]
Apr 02: Luckin Coffee stock tanks 80% after discovery that COO fabricated about $310 million in sales [LINK]
Apr 08: Chinese e-learning king TAL Education admits inflated sales [LINK]
Chinese law prohibits Chinese companies from submitting to normal U.S. auditing standards, and four Senators have already introduced a bill requiring them to do so. Should Trump be reelected ... either Beijing will relent on auditing standards or Chinese firms may start to face U.S. delisting threat.
Jul 14: Chinese $2.8bn memory chip project goes bust [LINK]
A Chinese company that launched a $2.8 billion government-backed semiconductor project four years ago is going bankrupt after it failed to attract investors, even as China tries to become self-sufficient in computer chips.
Jul 16: TSMC plans to halt chip supplies to Huawei in 2 months [LINK]
Jul 16: The $52 Trillion Bubble: China Grapples With Epic Property Boom [LINK]
Aug 26: U.S. Penalizes 24 Chinese Companies Over Role in South China Sea [LINK]
Aug 31: China’s Economy Shrinks, Ending a Nearly Half-Century of Growth [LINK]
Sep 09: Hongxin Semiconductor, promised China's first 7 nm chips, has gone bust [LINK]
A government-backed semiconductor manufacturing project based in the central Chinese city of Wuhan has gone belly-up, with key operator HSMC mired in debt. The local government said the project amounts to nearly RMB 128 billion (around $18.7 billion) in investment.
Sep 22: Huawei chairman urges U.S. to reconsider 'attack' on global supply chain [LINK]
Oct 13: EU imposes 48% tariffs on aluminium products from China [LINK]
Oct 18: China's economic growth drops to the lowest level since 1992 [LINK]
Oct 27: China’s Failing Small Banks Are Becoming a Big Problem [LINK]
The reality is that Beijing doesn’t have the wherewithal to guarantee the future of hundreds of smaller, provincial financial institutions that together sit on 73.4 trillion ($11 trillion USD) of yuan of total liabilities.

------------------------
☞ Go Back to the Short Story.
----
submitted by vanillabluesea to conspiracy [link] [comments]

Prelude to a Market Bloodbath: a Ludicrous Theory of How It All Started.

The text below was actually a comment of mine on another Redditor's post, but since I think they all left for the day, I have decided to create a standalone post with it.
Even though it's my theory, tbh I prefer the other theory of mine, which is:
From the COVID-19 outbreak to the great oil war between Russia & Saudi to the market crash, this whole event is a live simulation that some powerful group is executing for their future plan.
But today, I would like to present my less favourable theory: Theory of How COVID-19 Pandemic Has Started.
Obviously, for some parts, I got the sources. But for others, it's just a speculation based on the well known (?) inner working (political) systems of China.

-----------------------------------------------
-----------------------------------------------

Both Shanghai clique (Jiang Zemin) and Communist Youth League (Hu Jintao) want to unseat Xi Jinping.
.A. Because:
Shanghai clique detests Xi Jinping because Xi & his Princelings put many key politburo of Shanghai clique in jail in the name of anti-corruption.
And Princelings took away Shanghai clique's influences from big key Chinese businesses such as Wanda Group, Alibaba Group & Tencent.
Communist Youth League loathes Xi Jinping because Xi & his Princelings broke China's 太上王 institution, the nation's long standing political treaty among the ruling classes, by sidelining most of Hu Jintao's prominent politburo in the council.
Subsequently, the political power of Li Keqiang's (Communist Youth League) within State Council has been dramatically minimized over the years, although he is the No. 2 party figure.
It was a break with two previous generations of leadership, which were based on consensus among members of the ruling party’s inner circle of power, the Standing Committee, a.k.a China's 太上王 institution.
So,
Shanghai clique and Communist Youth League decided to work together to hatch a seemingly perfect plan:
- Unseating Xi Jinping would be the best outcome, but they knew it would be laborious.
- While keep trying to unseat Xi, this operation by their plan should be something to weaken Xi Jinping's power within State Council.
- The operation should also reboot the political power of Li Keqiang to re-boost the current status of Communist Youth League within State Council.
- The operation should also restore the financial flow for Shanghai clique & the businesses that are still under Shanghai clique's control.
- By weakening Xi Jinping's power, the operation should reinstate Shanghai clique's control of (at least some of) key businesses of the nation.
- Used-to-be hyper wealthy Shanghai clique decided they were to be okay with what's going to happen in the field, colossal businesses loss in the region;
because 1) most of better businesses used to be owned by them have been already taken away by Princelings anyway. And 2) a while ago their foreign financial backers, such as Henry Kissinger, George Soros & Koos Bekker who used to be kissy kissy with them, left for the new power in China. Now those backers seems to be in bed with Xi. And 3) Xi started to crack down Shanghai clique's assets hidden overseas with the inside-info those backers provided to Xi. exploding head gifs
- The operation's process must appear natural, so the blame could never fall onto neither of Shanghai clique nor Communist Youth League.
- For the operation, they needed to pick an appropriate region where the influence of Shanghai clique and Communist Youth League were still prevalent.
- All the blame should fall under Xi & Princelings' political and bureaucratic incompetence.
.B. Preparation:
- Dr. Wang Yanyi is a Chinese immunologist. She is the director general at the Wuhan Institute of Virology and the deputy director for Wuhan in the China Zhi Gong Party.
- Dr. Wang Yanyi is married to Chinese professor Shu Hongbing.
- Shu Hongbing is a Chinese cytologist and immunologist. He is a tier-1 member of the Chinese Academy of Sciences, and a close associate of Jiang Mianheng thru said Academy and Shanghai Tech University connection.
- Jiang Mianheng is Jiang Zemin's son (Jiang Zemin = No. 1 in Shanghai clique). Jiang Mianheng has served as Vice President of the Chinese Academy of Sciences and the first President of ShanghaiTech University.
- Because many international bodies are closely monitoring the NBL-4 facility in Wuhan National Biosafety Laboratory and in turn the NBL-3 facility in the same laboratory attracts fewer observing eyes from outside bodies, they decided to use the latter to pick & modify the pathogen.
- The pathogen's spreading speed should be rapid to achieve the maximum effect.
- Jiang Chaoliang is a pro-Shanghai clique Chinese politician and he was the Communist Party Secretary of Hubei.
- Later, as a result of his handling of the coronavirus outbreak, Jiang Chaoliang has been replaced by Ying Yong, a close ally of Xi Jinping.
.C. Operation:
- The operators released a pathogen of their choice in Hubei near the end of 2019. The holiday season was coming up, so there would be large frequent crowds to spread the pathogen.
- Some people in the region started to experience flu like symptoms but they didn't think much about it because it's a Winter season.
- Seeing numerous passengers were unusually ill, the cab drivers in Wuhan city knew something was up with the area close to the city laboratory.
- The number of flu patients in Renmin Hospital of Wuhan University and Zhongnan Hospital of Wuhan University started to curiously go up.
- The CPC bureaucrats in said hospitals started to report the situation to their superiors. Then, in turn, those superiors reported to politburo in State Council.
- Finally, Xi Jinping received the news regarding the situation in Wuhan city.
- On Jan. 7, 2020, Xi demanded during a Politburo Standing Committee to take care of the situation.
- Jiang Chaoliang and the other pro-Shanghai clique politburo in Hubei province pretended listening to Xi's order but they quietly ignored it by suppressing the evidences + sabotaging the field. -- Have you read the article which was reporting that the researchers received a gag order from China’s NHC with instructions to destroy the samples?
- Shanghai clique & Communist Youth League told their relatives and close associates to leave the region. It would look business as usual because it's near the Chinese New Year holiday season.
- Remember, Academics & the related institutions in China are Shanghai clique's turf.
- On Jan. 14, W.H.O declared that "Preliminary investigations conducted by the Chinese authorities have found no clear evidence of human-to-human transmission of the novel #coronavirus (2019-nCoV) identified in Wuhan, China."
- On Jan. 20, 2020, after realizing his previous directions were conveniently ignored, Xi gave special instructions to control the now-became outbreak.
- But again the pro-Shanghai clique politburo in Wuhan and other cities in Hubei province pretended following Xi's instructions but ultimately ignored those by still sabotaging the proceedings.
- Wuhan mayor Zhou Xianwang allowed and in fact applauded a massive annual potluck banquet for 40,000 families from a city precinct, who (on the ordinary people levels) are mostly the supporters of Xi Jinping. ---- It's going to be interesting to see who they would blame later on if there were to be a disaster in the region.
- On Jan. 23, 2020, after having confirmed their relatives and close associates left the region, they imposed a lockdown in Wuhan and other cities in Hubei province.
- Before the lockdown, 5 million people have already left Wuhan city. It was on. Some of them went to their homes in the different regions of China. But some people with connections & means left China and went to U.S., South Korea, Iran, Italy, & France, which are Chinese tourists' popular destinations.
- Xi Jinping and his Princelings now suspected something was not right. Xi disappeared from the public view.
- Willy Lam, a political scientist at the Chinese University of Hong Kong, commented that Xi Jinping's activities after his lengthy public disappearance looked like an attempt to shift blame to Li Keqiang if progress in fighting the disease is unsatisfactory.
.D. Outcome:
- With his performance of containing the situation were being praised by State Council, Li Keqiang's political power has been expanded within the council. ---- Li Keqiang belongs to China's Communist Youth League, which has been under Shanghai clique's control.
-----------------------------------------------
- On Feb. 1, the US was the one of the first nations in the world along with Russia and N. Korea that banned not just Chinese nationals but all foreigners travelling from mainland China, declares public health emergency. And China and some US media criticized Trump for stoking fear and overreacting.
- On Feb. 3, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. ---- Let's see where those money will go to. (Actually we would never find out but it will probably go to key people of Shanghai clique.)
- On Feb. 7, China National Petroleum Corp. has recently declared Force Majeure on gas imports. They are trying to make a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019.
- On Feb. 12, the US targets Russian oil company for helping Venezuela skirt sanctions. ---- My guess is that at this moment, the US admin noticed something is up, so they tried to secure some leverage against Russia.
- Around Feb. 24, China is rumoured (on Twitter) to delay its US-China phase one trade deal implementation indefinitely which includes the increasement of China's purchasing American products & services by at least $200 billion over the next two years.
- If China indeed delays the phase one trade deal implementation, there won't be many comebacks (such as more tariffs) that the US can carry through, because now the pandemic is happening within the US Soil.
- On Feb. 24, S&P 500 Index started to drop. Opened with 3225.89 and closed 3128.21. By Feb. 28, it dropped to 2954.22.
- On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others.
-----------------------------------------------
- On Mar. 1, China's State Council super tighten up their already draconian internet law.
- On Mar. 1, Princelings published an awesome propaganda called A Battle Against Epidemic: China Combating COVID-19 in 2020 which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus.
- Starting at Mar. 3, the Fed has taken two significant measures to provide monetary stimulus.
- On Mar. 4, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China (理直气壮, 世界应该感谢中国)."
- Said article states "If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only (banning exports), the US will fall into the hell of new coronavirus epidemic."
- This Xinhua article would be in part Shanghai clique's grand posturing (who are holding political power & capacity in medicals & biochemicals of China) to show off to people of China that Shanghai clique is still relevant in power.
- On Mar. 5, Shanghai Index has recovered the coronavirus loss almost completely.
- On Mar. 7, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. ---- Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & Morgan Stanley.
- Interestingly, one common factor that connects Bill Gates, Bill Browder, Blackstone, & Morgan Stanley is China.
- On Mar. 8, the Russia–Saudi oil price war has initiated. The ostensible reason was simple. China, the biggest importer of oil from Saudi and Russia, was turning back tankers as the coronavirus outbreak forced the economy to a standstill.
- On, Mar. 13, China's Ministry of Commerce states that China is now the best region for global investment hedging.
- On Mar. 16, the fan club of Europe globalists (:D) has published a piece, China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity. The piece says the following:
Combined with the new aid disbursements and advice the other countries, Chinese leaders appear to be hoping that their heavily-promoted success in fighting the virus helps Beijing appear like a global leader on public health – and thus ready to take on other types of global leadership.
“The Chinese method is the only method that has proved successful” [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda.
This is not necessarily true. After all, other wealthy Asian states have shown different, effective models. But it is certainly a message that seems to be resonating with opinion leaders around the world.
- On Mar. 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history and falling to its lowest level in nearly three years. But some showed a faint hint of uncertain hope.
-----------------------------------------------
-----------------------------------------------
Many thanks for reading up my long ass post!! -- The updated version is hopefully coming soon. :D
submitted by vanillabluesea to conspiracy [link] [comments]

Three Outside Up Candlestick Chart Pattern(Bangla) Three Outside Up Candlestick Patterns Three TYPES Of Forex TRADING BREAKOUTS Three Ducks Trading System (FOREX) Candlestick Patterns  Bullish Three Inside Up Three Inside Up Candlestick Patterns Strategy: Three Inside Down and Three Inside Up candlestick pattern [BFB] Forex Indicators Three Line Break (TLB) Charts Forex Strategy: The Power of Three Revealed! Trading Strategy with Three Outside Up candle pattern

Three Outside Up/Down: The three outside up and three outside down are three-candle reversal patterns that appear on candlestick charts. Triangle and 3 Outside Up Candlestick Forex Trading Strategy. Traders are always on the lookout for breakout opportunities on the trading chart as a mean of generating profits. The Triangle and 3 Outside Up Candlestick forex trading strategy is a well suited strategy that combines the triangle pattern and the 3 outside up candlestick trading pattern to confirm breakout with a high degree of ... The Three Outside Up-Down pattern is a reversal pattern. It is identified when during a downtrend a bearish candle is followed by a bullish one which closes well above the previous one and the 3rd candle is again a bullish candle and closing well over the previous candle close. Forex Videos. Free videos about foreign exhcnage (FX) trading . Random video. SUBSCRIBE. Archives Archives. Bitcoin Forecast — November 13th 2019. Daily Market News — November 14th 2019. Bullish Three Outside Up — Candlestick Pattern. November 13, 2019 at 18:10 by K. Prabhu. In this video, you will learn about the bullish three outside up candlestick pattern. This is a confirmed bullish ... Three Outside Up and Three Outside Down patterns (tsutsumi age and tsutsumi sage) The Three Outside Up and the Three Outside Down patterns serve as a confirmation of engulfing patterns. They look similar to the Three Inside Up and the Three Inside Down patterns, as well as the Harami pattern. Three Outside Up and Three Outside Down. The Three Outside Up and Down are another set of trend-reversal patterns, consisting of three candlesticks, with the Up being the bullish and the Down the bearish one. The Three Outside Up pattern occurs at market bottoms. Its first candle is a bearish (matching the recent price movement) spinning top ... Illustration about 3d rendering of forex candlestick three outside up pattern over dark background. Illustration of graph, stock, banking - 76291622

[index] [25303] [8756] [2171] [4228] [14682] [25980] [6505] [6141] [12808] [12366]

Three Outside Up Candlestick Chart Pattern(Bangla)

Professional Forex Trading Course Lesson 1 By Adam Khoo - Duration: 58:55. ... Three Outside Up Patterns and Trading Them with Entries and Stops - Duration: 9:02. Bullish Bears 800 views. 9:02 ... how three outside Up candle pattern make money for us, see my explananation on http://forex-trading-metatrader.blogspot.com/ LIVE Forex Trading - NY Session 4th August 2020 WicksDontLie 2,544 watching Live now 95% Winning Forex Trading Formula - Beat The Market Maker📈 - Duration: 37:53. Learn about the three inside up and other candlestick chart patterns with Share Prices. Presented by CJ Dore ----- SharePrices.com.au is a free-to-use stock market information site. We provide our ... Learn about the three outside up and other candlestick chart patterns with Share Prices. Presented by CJ Dore-----SharePrices.com.au is a free-to-use stock market information site. The power of three strategy is very powerful if you know the daily bias of the asset you are trading. I will try to explain this strategy in my upcoming videos, so don't forget to subscribe and like. ★★Top Trusted Forex Brokers List★★ Trusted Forex Brokers Click Here to join: Exness: https://bit.ly/2DOYLyx FXTM: https://bit.ly/2Gid9Tp ICmarkets: https://bit.ly/2VH12WF Three Line Break charts evolve based on price, not time. The rules for a three-line break chart are the following: Buy when a white line appears after three adjacent black lines (a “white ... This 30 Second Seminar (tm) will explain how the Three Ducks Trading System works, and what signals will be sent to you from the FreedomTrading system. The Three Ducks Trading System has become ... Find out why Close. Strategy: Three Inside Down and Three Inside Up candlestick pattern ArrowPips Forex Signals ... it may be considered as a valid three inside down pattern. Explore Sky-High ...

http://binaryoptiontrade.willcropimowweilu.tk