The Law of Charts - Forex Strategies Revealed

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Real Supply & Demand in FOREX with Precision Part Two

Real Supply & Demand in FOREX with Precision Part Two
So yesterday I created the first part to the 'post' Today I'll continue it.
All markets, equities, cars, widgets, groceries, bonds and even forex are driven by volume. Without volume there is no movement as it's the market maker to entice the trader to aggressively buy or sell based upon their sentiments of direction.
So let's first put into perspective market sentiment and what it is for this posts purpose.
Sentiment is the psychological pressure of trader expectations in movement. It's visible through intermarket analysis and even some indexes when the indexes are properly cross referenced. But sentiment is visible even when candles stop their climb or when buying pressure supports the prices on an attempt to move lower. What comes after sentiment builds it's pressure is the path of least resistance and that's really what the markets are doing. Following the path of least resistance with volume as the rivers boundaries.
Volume in foreign exchange is real.
Retail traders think that because the market is decentralized that volume isn't available. Well, the broker you connect to, and the prime broker or bank that they connect to, they source their pricing with risk management modules by analyzing aggregated volume. Aggregation is a grouping of FX liquidity streams (that all include volume levels) into one hub of liquidity housed inside a limit order book. Volume is not made available to you though. It's the playground of the banks and if you're going to have access to a tool that allows the masses to dilute their returns do you think they would let you have it freely? Nope! They would though lobby for laws (Dodd-Frank, FIFO etc etc come to mind here) they all make it more difficult for you to trade!!!! Opacity!!! But volume is very real, it only needs proper aggregation!
So how do we find valuable opportunities when studying the charts? First off, if you study the charts alone you're doing yourself a great disservice! EURUSD in any time frame is just a representation of a relationship between two currencies. You need to study the value of the underlying currencies!
What that provides you is precision entries. Let's call the entry on Candle 12 (an arbitrary number). On candle 12 you see USDCHF spike higher, that would indicate that EURUSD is going to drop 96% of the time! Oh a little insight! So you take a position short EURUSD on candle 12 in expectation that the relationship between the two currencies is going to go lower because of the strength in the Dollar.
But remember, exchange rate fluctuation is the path of least resistance. So at the point where you have found your entry short in EURUSD, there is the opposite consideration. What if I am wrong? What it if goes the other way? At what price would it show me the opposite direction and how long do I have to wait to confirm a reversal? Candle 12 is magical. It tells you what you need. You see, in ALL instances, extremes high or lows of charts are seen by changes in what's called bid/ask bounce. When bid ask bounce is breached it's giving you sentiment, volume and price all shifting directions. If candle 12 is the candle short, then the high immediately prior to candle 12 is your reversal point!
I guarantee you this is the intersection of buyers and sellers, and when one defeats the other the market changes direction. This is true for all of the entries here, if price reversed before it reached a profitable exit then the reverse would in fact be at the opposite extreme prior to the entry candle.
So we go back and visit the adage buy low/sell high but what happens in between? Proper analysis is an active participation. And just as your analysis says you should buy or sell, your analysis should also tell you how the market is reacting in the middle. If there's no change or breach in bid/ask bounce the trend is still moving.
In the attached chart. When an entry signal is confirmed, the immediate high or low prior to that entry becomes the exact reversal point. (I have circled them in yellow) In most of the opportunities shown that stop loss is a mere 2.2 pips away from the entry price and there are no reversals that were required and all signals were profitably identified. No I did not trade them, this is live analysis that runs continually. Of all the signals there is ONE blue X in the center region of the chart that almost gave a sell signal but price pressures remained in tact and thus bullish. The analysis identifies over 100 pips in movement within a range of 35 pips overall. And none of it with lagging analysis.
With proper analysis, you can maximize your returns by comprehensively understanding all market conditions. You'll minimize your losing trades to negligible frequencies, your gains will be maximized and you'll see precisely how the market moves, turns, breathes and follows the path of least resistance.
Now my purpose here is to develop market transparency for the little guy. Sure my posts attract trolls because the trolls have been burned by their own trading ignorance. So they attack those that strive for and deliver something better, in fact most of them don't know how to trade to save their life and that's their anger. I could show you a few of them who have had accounts with companies I advise or am principal of - but there are privacy rights to respect. Do I do this free? On here of course. Is it a business? I've spent over a million dollars in just research, but when I experienced how expensive it was to obtain true transparency I knew there were benefits to providing this information to retail traders.
https://preview.redd.it/367rn2d6p3s51.jpg?width=1345&format=pjpg&auto=webp&s=e99e1604a078b6aa0916f32be91ce16bc5196320
submitted by iTradeSocial to u/iTradeSocial [link] [comments]

Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
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Stock Futures:
Wednesday 07/15/2020 News and Markets Recap:
Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)
News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.
Upcoming Earnings:
Commodities:
COVID-19 Stats and News:
Macro Considerations:
Most Recent SEC Filings
Other
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Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub
submitted by Cicero1982 to pennystocks [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

Elliott Waves Series Part 2 - The Broad Concept

Elliott Waves Series Part 2 - The Broad ConceptYou can find Part 1 here: https://www.reddit.com/Forex/comments/hieuyw/introduction_to_elliott_wave_theory_overview_of/
The primary value that the Wave Principle (from here on out, abbreviated to WP) confers on market analysts is the ability to provide context for market behaviour. Having context is incredibly important. To put it simply, the WP can be thought of as a compass. Whenever you feel lost looking at a chart (ANY chart, ANY market!), the WP will help get you back on track.
Clearing Up Some Misconceptions About Elliott Wave Theory:

  1. R.N. Elliott first discovered the WP in the 1930s using charts of the stock market. Many misinformed people believe that the WP works “best” on stocks and has been adapted for use in other markets. This is simply false. To be clear - Elliott discovered the WP. He did not invent the WP. The WP is based on human social nature and therefore it cannot be invented. It has always existed. What Elliott did was to start codifying rules and guidelines around how human social nature can be charted. Ultimately, Elliott’s objective was to be able to predict future human behaviour using the historical record. The expression of human social nature generates forms and patterns. As these forms and patterns repetitive, they have enormous predictive value.

  1. Another major misconception around the WP is that it requires a lot of discretionary analysis, and more often than not, analysts shoehorn price action to fit the Elliott Wave model. In fact, the WP has very clear rules (these rules are inviolate under any circumstance) and guidelines (these guidelines should be adhered to almost 100% of the time). While there is a discretionary element involved in counting waves, properly trained wave analysts will ultimately arrive at a consensus because following the rules and guidelines narrows the possible wave counts very quickly. Very often Wave analysts will have 2 counts at hand in terms of where they think the market is presently situated. These counts are known as the preferred count and the alternative count. These counts are validated and invalidated using price levels derived from Elliott’s rules and guidelines. The most dissent I expect from two educated Wave analysts is that one analyst’s preferred count could be the other’s alternative count. This dissent quickly resolves itself as the price action develops and validates or invalidates one count or the other. This dissent usually occurs based on wave patterns of one higher degree. It is very rare that I have seen dissent on immediate market movements.

  1. I didn’t know this was a major misconception, but someone brought this up in my first post, “I stated that Elliott Theory has better success when working in consolidations or extreme ranging markets.” This is completely false. The WP doesn’t work better or worse regardless of the market or the market conditions. That would be like saying that breathing air only works occasionally. The WP is NOT a strategy, it is the definitive model for charting human herding behaviour. Human behaviour does not show up only in periods of consolidation or range-bound markets. The markets are themselves driven by human behaviour, therefore the WP is always equally applicable. From a trading perspective, the WP is perfectly suited to capturing trends.

  1. Well, what about news events? What about supply and demand theory? What about fundamentals?! Doesn’t any of this stuff matter?? In short, the answer is no. I have previously stated that I am a macro-based investor. This is certainly true. Much of the research I consume has to do with market fundamentals and global-macro analysis. This research helps me form a view that I can overlay with the WP. From a trading perspective, when it comes to actually pulling triggers and taking positions, my decisions are always guided first and foremost by the WP. Here is a fantastic quotation from Bob Prechter on this topic, “Sometimes the market appears to reflect outside conditions and events, but at other times it is entirely detached from what most people assume are causal conditions. The reason is that the market has a law of its own. It is not propelled by the external causality to which one becomes accustomed in the everyday experiences of life. The path of prices is not a product of news. Nor is the market the cyclically rhythmic machine that some declare it to be. Its movement reflects a repetition of forms that is independent both of presumed causal events and of periodicity.”
The Bottom Line:
Elliott Wave Theory is the best forecasting tool in existence. It has determined that the market’s progression unfolds in waves. Waves can be thought of as patterns that carry the market in a direction. There are a fixed number of the different kinds of patterns these waves can take. If you really boil this down to its essence, successfully applying the WP is as simple as identifying what kind of wave the market is currently in.
I will end this now. The next part will deal with the overriding wave structure that the market is in, the different kinds of waves we will see, and why this wave structure exists in the first place.
submitted by ParallaxFX to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
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 DD, 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. 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 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 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 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 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 market is technically open 24-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.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. 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 is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. 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.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low 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. 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 is imminent.
– 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 an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
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 complete our analysis of time by measuring 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: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
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*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
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 April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

EUR/USD forecast: Dollar multiplies predators

EUUSD forecast: Dollar multiplies predators

Fundamental U.S. dollar forecast for today

The only way to survive for an economy is to adapt to the pandemic

The more prey, the more predators. The increase in the number of predators reduces the population of prey, which, in turn, reduces the population of predators. The interaction of a pandemic and the economy is similar to the laws of nature, with the virus being the predator and the economy being the prey. The only way for the economy to survive is to adapt. It is difficult without a coronavirus vaccine. It may be proven by the drop in the U.S. unemployment claims below 1 million, which supports the US dollar.
Despite a positive reading, the US jobs market is far from the norm. Over the past three months, the economy has created 9 million new jobs, but this is only 43% of the 21 million lost in the March-April period. The number of Americans collecting unemployment benefits through regular state programs also decreased from 25 million to 15.5 million. However, this is more than two times more than the maximum recorded during the previous global financial crisis (6.6 million). The US jobs market urgently needs a fresh fiscal stimulus, but the Republicans and the Democrats can’t reach an agreement.

Dynamics of the U.S. unemployment rate


Source: Financial Times.
Donald Trump says too much aid package will keep Americans from returning to jobs. 82% of 62 experts polled by the Wall Street Journal do not agree. They say additional payments to unemployment benefits do the economy more good than harm, as they support consumer demand. The U.S. President doesn’t agree. Trump argues with the Democrats, linking the fiscal stimulus size with the canceling voting by mail in the 2020 presidential election.
The red-line policy influences all financial markets. Trump won’t benefit from a new round of the US-China trade war, as it would demonstrate that he has not achieved any progress in this area during his four years in power. Joe Biden says Trump’s policy concerning China is a failure. Trump wouldn’t support his opponent. Besides, the stock indexes, which indicate the efficiency of Trump’s policy, are likely to drop if the US imposes new import tariffs against China. China doesn’t fulfill its obligations under the phase 1 trade deal in full. But Beijing has an excuse, the pandemic. Everything can be improved. In 2021.
The escalation of the trade war would seriously hit the Chinese economy, whose recovery pace is slowing down. The domestic demand doesn’t meet the industrial production, which is indicated by a poor reading of China’s retail sales data in July.

Dynamics of China’s industrial production and retail sales



Source: Bloomberg
China could be an example of an economy adapts to the pandemic. The fact that it has problems suggests that the euro-area economy may also recover not as soon as the EUUSD bulls expect. Unless the pair breaks out the resistance at 1.188, it can enter the middle-term consolidation in the range of 1.158-1.188.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/eurusd-forecast-dollar-multiplies-predators/ ?uid=285861726&cid=79634
submitted by Maxvelgus to Finance_analytics [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]

Beginner's Guide to Trading Crypto. Part 13

Beginner's Guide to Trading Crypto. Part 13

The Path To Crypto Trading Starts With Knowledge: A Brief Guide To Crypto Trading

Trading cryptocurrencies has come into fad over the last few years and become a relatively good means of earning for both professional traders and enthusiasts. If we look at the price charts that have been compiled over the years by a variety of channels, we can see that the crypto market is exhibiting the market dynamics and fluctuations much like those that can be found on traditional markets. This makes it clear that the presence of volatility on the crypto market makes it a profitable area for trading.
Of course, the main question that arises in the minds of most aspiring crypto traders is how to make money trading cryptocurrencies. For this reason, many seek to learn how to day trade cryptocurrencies. Anyone willing to make the effort can truly find opportunities there. For instance, the exchange rate of BTC has grown from about $800 in 2013 to over $6,000 in 2019, after having spiked in price to over $20,000 in 2017. Ethereum was just as remarkable in its dynamics after having gone to $0.57 in 2014 to $1,180 in 2017 to $171 in 2019. Ripple was just as dynamic, going from $0.02 in 2014 to $0.32 in 2019. If that is not volatility, then we don’t know what is. This makes the crypto market one of the best avenues for risky traders seeking to make their fortunes. But mastering how to make those fortunes is over half the matter.
https://preview.redd.it/bajehrv10m541.png?width=541&format=png&auto=webp&s=8be0fe84df20245d6db0d64f44aedca2047d27fc

How To Start Trading Cryptocurrencies

Anyone who wants to sink their teeth into the juicy cake of crypto trading has to first realize where cryptos are traded. Like every other financial instrument put up for trading, cryptocurrencies are placed on exchanges. The crypto market is host to over 200 exchanges, some more reputable than others. Among some of the best and renowned are Binance,BitMex, Bittrex, Huobi, Coinbase and many others.
Unlike traditional exchanges on Wall Street, crypto exchanges are divided into two types – centralized and decentralized. Both work on blockchain technologies and provide almost the same level of convenience, depending on the offered instruments and the architecture of user interface. However, some exchanges are decentralized, meaning that they do not store any of the user’s information, including the wallets on any of their servers or systems and resort to external services in this regard. Decentralized exchanges do not require any intermediaries to conduct any operations and perform all the order matching themselves.
On the other hand, centralized exchanges resort to a number of intermediary services to conduct their operations. The intermediaries provide anything from order matching to user wallet storage. This makes centralized exchanges much riskier and more expensive compared to their decentralized counterparts.
Despite the obvious differences in platform structure, there is also the issue of convenience. Most decentralized exchanges have horrible user interfaces and are much more difficult to master. But when it comes to speeds, centralized exchanges win over their decentralized counterparts, since their platforms are better suited for transactions. Though there are tendencies of reversing the issue, the situation still remains in favor of centralized exchanges.
Centralized exchanges win over decentralized ones in another important factor that is vital for trading – liquidity. Decentralized exchanges cannot compete with centralized ones in volumes of trading. However, decentralized exchanges win over in an almost complete lack of commissions and security, since they do not rely on any intermediaries.
When dealing with crypto exchanges, traders also need to know how crypto trading bots work. This is because bots are allowed on crypto exchanges facilitate trading considerably. When resorting to bots, it is important to first analyze the exchanges and understand which ones offer the best instruments for convenient trading.
Given the many restrictions placed on cryptocurrency trading in some countries, many traders would ask how to trade cryptocurrencies in the US. The issue is not as complicated as it might seem, since most reputable exchanges, like Binance and others operate legally on the US market. It is therefore necessary for traders to research their platforms of choice before using them to make sure they comply with US laws.

How To Trade Cryptocurrencies

Trading cryptocurrencies is done almost in exactly the same way as with other financial instruments – through the application of a variety of strategies. The main strategies on the crypto market are much like those on other markets, such as Forex, and they include:
Scalping – the launch of a very large number of small orders for the purpose of making small profits in bulk, rather than waiting for one large win.
Intraday – this is the basic form of trading which involves placing orders during trading hours and buying and selling assets. This is the base strategy for fixing profits during the same day without risking off-hour volatility.
Investing – both long and short term investing is also a type of trading strategy, which involves waiting for an asset’s price to move (preferably up) and fixing the resulting profits.
There are dozens of trading strategies on the market and MoonTrader will allow its users to make use of all of them through its convenient interface.
How To Trade Bitcoin
Bitcoin is the most coveted coin out there with its volatility being its main allure and bane. The first and main question posed by any starting trader is how to trade Bitcoin for profit. In fact, this question is often associated with the question of how to become a Bitcoin trader, which in itself is a rather false view on the crypto market, since the latter is much bigger than Bitcoin alone. The issue of how Bitcoin trading works is largely a reflection of any trading process on the market and does not involve any special circumstances apart from the asset’s volatility.
Trading Bitcoin is done exactly the same way as with any other crypto asset. But with trading BTC comes the question of how to automate Bitcoin trading. This is where traders must first realize that their exchange of choice and strategy will be the determining factors in the question of automation and the use of bots.
How to trade Ethereum
Ethereum is the second most popular name on the market after Bitcoin and is traded in exactly the same way. Ethereum is considered to be a less risky asset, since its prices are lower and it is far more commonly encountered than its more expensive counterpart.
How To Trade Ripple
Ripple is the third most frequently encountered name on most crypto asset charts, mostly because of its relatively low volatility and popularity as an instrument for transactions used by some banks. The confidence that traders have in Ripple and its low price makes it a favorite for beginning traders and a low-cost option for scalping orders.
https://preview.redd.it/vl0e1bo90m541.jpg?width=1254&format=pjpg&auto=webp&s=5b51c59dfa22fc8f4319207d11b3c51e85d24cd5

Learning How To Trade Cryptocurrency

The biggest challenge facing any aspiring trader who wishes to join the crypto market and start trading Bitcoin and other assets is learning how to do it properly. In fact, reading is the only way followed by a gradual and phased transition from test trading to real trading. The process may well be painful at first, but experience counts the most in trading.
MoonTrader knows all too well how difficult it may be to learn the ropes of crypto trading, so the platform is delighted to present an entire block of content devoted exclusively to educational content.
The https://moontrader.com/en/category/beginners-guide-to-trading-crypto/ section offers accessible, clear and valuable insight into the steps necessary to start the journey into crypto trading.

The Risks

Crypto trading is not without its risks. The market is inherently risky for a number of factors. Ironically, the profit making factor of volatility is also the factor that can reduce profits to losses. When embarking on the journey of crypto trading, aspiring traders must realize and ascertain the risks involved and consciously undertake all of their next steps.
The best step to take is to create a trading strategy first and rely on one of the most important instruments available on the market – the margin. By trading with a margin, traders can minimize their losses and ensure a great enough volume of trading. Binance Futures, for example, offers a large variety of margins from x1 to x125 to ensure that traders have the necessary leverage to trade effectively.
It is important to note that margin trading is an advanced instrument and cannot be reliable enough for novice traders. As such, MoonTrader encourages aspiring traders to refrain from margin trading until they are confident enough to risk greater volumes of assets during trading.

Keep It Going

Learning is the process of acquiring experience and the latter counts the most in trading. Before embarking on the path of trading cryptocurrencies, traders must first compile a large enough amount of knowledge that they will be able to rely upon in the variety of situations that can arise on the market. First and foremost, it is vital to refrain from negative sentiment and look ahead into brighter prospects. Secondly, aspiring traders must study the market and find a suitable platform. Thirdly, novice traders must build a strategy that suits their characters and styles and make sure to abide by it. Once that has been mastered, they can start delving into the more advanced aspects of trading.
Whatever path traders take, MoonTrader will be there to help them with both information and instruments to make sure their trading is profitable and enjoyable.
Check us out at https://moontrader.io
Facebook: https://www.facebook.com/MoonTraderPlatform
Twitter: https://twitter.com/MoonTrader_io
LinkedIn: https://www.linkedin.com/company/19203733
Reddit: https://www.reddit.com/Moontrader_official/
Telegram: https://t.me/moontrader_news_en

Originally posted on our blog.
submitted by MoonTrader_io to Moontrader_official [link] [comments]

The truth about Bitfinex and Tether...

EDIT: I realize this is long, but I feel it's important to have this info out there. Maybe save it for later when you see this narrative being pushed around so you can come back and get the other side.
EDIT 2: TL:DR - Most negative analysis on this sub lately of Tether are likely from a single biased source that stretches a lot to make his points, and there is simply not enough Tether in the market nor is it concentrated enough to create a catastrophic problem or significant inflation for any USDT currency pair.
Like many of you, I have heard the stories and posts about the fraudulent tether, I trade in this space on many exchanges and the growing concern is worrying, so I did my due diligence, and I would like to share it with the community.
First and most importantly IMO, all this controversy stems from just one account/person. A person on twitter going by the handle @Bitfinexed - https://twitter.com/Bitfinexed
Here you can see this person's writings - https://medium.com/@bitfinexed/latest
Spoofy, Tethers and institutional investors are what they contend to be the lies and fraud, AND that this entire rally in 2017 is based on fraudulent Tethers and spoofing, and that this will implode the markets.
I feel this is also important… Turns out this person sold at $1000, maybe the real reason he is on this mission??… https://twitter.com/whalepool/status/896460700461277185
Now for some troubling info, the majority of this narrative (FUD??) here on Reddit in the last month come from just three accounts.
https://www.reddit.com/useAtlasRand1/submitted/
https://www.reddit.com/usecetusfund/submitted/
https://www.reddit.com/useAnythingForSuccess
As you can see these accounts entire mission is to post constantly about this. They all show up on the other’s post to comment regularly.
Btw, some people on the pro-finex side think this is a smear campaign from other exchanges. I don’t believe this to be the case. This person(s) only talk about TetheFinex, yet Tether is used and traded by the $millions daily on 3 of the top 5 exchanges, Finex, Bittrex, Polo, yet never a word about those other exchanges. (Check the USDT volume on other exchanges) https://coinmarketcap.com/assets/tethe#markets
Therefore, if it is an exchange, it isn’t Trex/Polo because this would affect them as well. If it was an exchange other than Trex/Polo they would have plenty of fire power against 3 of the top 5 exchanges with Tether fraud.
This leads me to believe it is most likely a sad person(s) with an ax to grind. They might have lost their $ on Finex to what they believe are spoofers/fraud and or they were part of the finex hack and sold there BFX too early.
Btw I see contention that Bitfinex did NOT pay back the $ from the hack. They did, but some people are mad because they sold BFX early and didn’t recoup full $ amount from haircuts, but that was their decision.
~ POINTS OF CONTENTION
SPOOFING This is what set my alarm bells off about these articles I read from Bitfinexed. Specifically spoofing… https://hackernoon.com/meet-spoofy-how-a-single-entity-dominates-the-price-of-bitcoin-39c711d28eb4
and this nugget…“And who the hell is going to go margin long so dramatically after a huge crash?” from this article… https://medium.com/@bitfinexed/are-fraudulent-tethers-being-used-for-margin-lending-on-bitfinex-5de9dd80f330
Claiming spoofing shows this person has limited markets/trading knowledge. Clearly they haven’t watched an order book of any exchange in crypto, equities, or Forex.
This is called scalping or scare walls. Again this is done in every market around the globe.
Here is a professional FOREX trader talking about scalping, how it works, who/why they do it. https://www.youtube.com/watch?v=EYMIPmgRb_M&list=WL&index=94
TL;DW - they do this to get the price where they want it because they know people are watching the order book (the video is quite enlightening), and the key point that keeps this from being an illegal activity (on regulated exchanges) is THAT THEY DO MAKE TRADES FOR THOSE SIZES eventually. This doesn’t always work and they get stuck in these positions. Risk/reward.
The ironic part about this spoofing idea is Finex is one of the few, if not only exchanges, that offer hidden orders. So people trying to scalp always have to worry if there is a monster hidden order lurking.
Go to the UPDATE: AUGUST 7TH of this story and watch the video he claims proves spoofing and Phil Potter admitting it in the voice over. https://hackernoon.com/meet-spoofy-how-a-single-entity-dominates-the-price-of-bitcoin-39c711d28eb4
I see nothing wrong with what Phil says and no proof of anything in the video. Again this is true on every exchange trading anything of volume in the world. People with large amounts of money move markets, oh the horror. I “technically” do this when I place an order and pull it for whatever reason (scared, mistake, etc.) just not in large sums, but I would if I had large sums.
“And who the hell is going to go margin long so dramatically after a huge crash?” The crash they are referring to is from the early June ATH to the mid-July correction. A 45-day crash? Well, I am one of those people that went margin long. And many many others who read charts, resistance, support, retracement info. Again, this smacks of someone who doesn’t know what they are talking about.
REASON FOR PRICE RISE/BTC GOES UP WHEN TETHERS ARE CREATED
This is absurd. This completely negates everything else, the Japanese currency ruling and them entering the market, Koreans coming into the market in a huge way (they now have the largest exchange by far with close to a Billion traded DAILY, oh and they don’t use Tether at all), the successful hard fork, or the more (positive!) interest from the media and people than ever before in BTC history.
Instead, we are supposed to think that $395 million dollars of tethers are the reason for this rise in a $160+ Billion market cap. 
C’mon people! Look at that volume for the last 30 days. https://imgur.com/a/vKJ5g Also, the overwhelming majority of trade does not exist in Tether but KRW, CNY, USD, JPY.
Tethers are usually created when extra liquidity is needed, be it a crash or a spike. Because more people are trading.
They try to prove Tether boosts the market with this picture in their article. https://imgur.com/a/274SE
The problem is 2 of the last 3 tether dumps coincide with a downturn. In fact, there is nothing in this graph that proves this theory. Also, the last tether dump/price rise coincides perfectly with the news of the majority of miners signaling segwit2x for the first time (search bitcoin or btc around that date).
So do you think the market traded billions of $ at that time because of a $50 million Tether dump or because for the first time in YEARS a solution and path forward became visible??
THEY DON’T HAVE BANKING//NO INSTITUTIONAL INVESTORS/FAKE TETHERS-TERMS OF SERVICE
In regards to banking, clearly they have some kind of banking and a way for large amounts of fiat to get in and out. The banking is not for you and me but for regional bitcoin exchanges and other large customers.
You know how I know this? If they didn’t the internet would be flooded with Finex withdrawal issues, there would be a price premium on Bitfinex compared to other exchanges, just like Mt. Gox had for so long and also Bitfinex earlier in the year when the banking issues started.
This article explains it very clearly (seriously read this article), it has nothing to do with this controversy, just the banking issue in April.
https://medium.com/@Austerity_Sucks/why-bitfinex-went-from-a-premium-in-its-crypto-usd-pairs-to-now-a-significant-discount-e7be193d7cb0
TL;DR - All of the imbalances discussed (Finex premium) have been a result of USD frictions into Bitfinex. It has been a chain reaction resulting from the initial freeze to the various gradual withdrawal options. As soon as Bitfinex conclusively addresses the USD flow issues, the crypto pair prices will normalize (which they did) with other exchanges that don’t have banking frictions and USDT price will return to par (which it did).
The premiums on Finex and Tether are what would prove something is wrong, yet they are not here. Surprisingly Finex has been at a discount to GDAX and GEMINI recently. Meaning people are willing to take a loss on prices to be able to lend on Finex. This too will normalize as people/bots arb.
Aug 9th… From “arguably” bank fraud https://twitter.com/Bitfinexed/status/895339675120013313
Aug 22nd…. To “admitting” bank fraud https://twitter.com/Bitfinexed/status/900230917196836864
Listen to that audio in the second link, listen carefully. His explanation is perfectly reasonable. Banks don’t work well, consistently, or at all with crypto related companies (marijuana companies too for that matter) especially in jurisdictions that are outside US/Europe. Surprise surprise, this is nothing new. When they find out customers, deposits/wire are cryptos related they pull the plug (a reason why Trex/Polo don’t mess with USD).
Also, they gave their customers a haircut, probably a lot of complaints about the hack to Wells Fargo and other banks. These are the correspondent's banks, not Finex’s, they have banking. This is how they can receive large institutional deposits and withdrawals. Which I bet make up the majority of the fiat deposits and withdrawals.
Classic 80/20 business rule, 20% of your clients are providing 80% of the liquidity plus you are having banking issues (which is expected in crypto-land), so you cut this service to the 80% saving time/resources/headaches for the 20% loss in a single service to them (no fiat withdrawal/deposits- but crypto flows in and out with ease).
Again if they weren’t able to get money in and out there would be a premium, there would be a long line of complaints online. I have no reason (or proof) to believe that money is NOT coming into/out of the exchange.
It makes total sense too, they are the best lending platform, have one of the most liquid exchanges, and have by far the most reliable and best software/servers/UI/order options. You cannot deny this fact, they are constantly a top 3 exchange in volume, even after a hack.
I use Finex (as well as others) because of all those things. Also, they have already been hacked, a second hack seems less likely (IMO, they have more to lose with another hack). They have many big events on the horizon (Ethfinex). Would a company be putting resources into these things if this is all fraud or an exit scam? I find that unlikely. Is this 100% full proof? Of course not, nothing is, especially in crypto, just my reasons for trading there.
Institutional Investors - https://medium.com/@bitfinexed/are-legitimate-institutional-investors-really-coming-onto-bitfinex-s-platform-i-don-t-think-so-cb4ed5175092 Here is what this person doesn’t comprehend, what if these institutional investors are… you ready… here it comes… other exchanges that use Tether, as well as other crypto related businesses. It is only $395 million Tethers. These exchanges (Trex, Finex, Polo) are printing money.
This isn’t “someone” with 100’s of millions of dollars as the article suggests, it’s many people with millions/thousands of dollars. Again this all ignores the fact that many more people have entered the ecosystem this year. This is proven by Coinbase growth, transaction growth, and exchange growth (both in volume and # of exchanges), and growth in crypto-related sub-Reddits.
Yet Bitfinexed is shocked that lending hits ATH’s, but it is perfectly explainable and reasonable based on the evidence and data of gthe ecosystem. Let us not forget BTC is a finite amount, more people are going to increase demand/price, if you think this is a bubble... you haven’t seen anything yet.
The TOS are sketchy and a point of concern but there are two things to keep in mind- It was necessary to word it that way, and the market clearly doesn’t care.
If they had worded it that they will redeem no matter what, they would have money launderers flocking to the service (bogging down resources), plus law enforcement knocking.
Tethers weren’t created to get $ in/out of crypto but to provide a safe haven and liquidity on exchanges that don’t use USD. And I would say they are working perfectly. Very few are withdrawing USDT for USD.
I think it is precisely because of what the co-founder of tether refers to here (and below)… “If you want to convert USD₮ into fiat currency (or vice-versa) at tether.to, you must go through the whole “aggressive” KYC/AML process and get verified. I’ve heard from many who tried and were unable to provide sufficient documentation. Tether’s KYC/AML policies were written by experienced compliance officers and it’s critical that it be done properly and with diligence. It really is about “knowing your customer” and making sure that their uses are legitimate.” This is a perfectly reasonable explanation why people are not lining up to cash out of Tether, and also why large/reputable institutions can (exchanges, investors, etc.).
TETHERS REPLY TO ALL THIS, PLUS UPCOMING AUDIT https://tether.to/tether-update/
Now ask yourself this, would a company that is operating fraudulently have a roadmap of all these new features that no one will ever use if they don’t provide these promised audits as they say they will by the end of the year?
So as of now they have enough runway until the end of the year. I say we give TetheFinex the benefit of the doubt.
While Tether could be operating fractionally (so to could any exchange in crypto btw), there is no proof or evidence of it today. It trades at normalized rates. You can’t just create 100’s of million of dollars without the marketing realizing somewhere.
Sure, you can say this is a confidence game, but so is crypto, so is the USD, so is the concept of money. I see no reason to be more concerned with this risk than the already risky environment we trade in with exchanges.
WHAT IF I”M WRONG? CRYPTO WILL IMPLODE!
No it won’t. Sure there will be a dip maybe even a correction, but there are only 395 million Tethers. People will get out of Tether even at massive discounts (until $0) into crypto because they can’t get USD, but not more than the 395 million tethers circulating (at this time).
At a certain discount people will understand what is going on and stop trading for Tether. BTC + ETH is worth over $100 billion, how many time does the entire amount of USDT have to turn over to cause a massive crash?
What will get hit the hardest are the people left holding tether (if/when they implode) and Trex/Polo/Finex.
To think Polo/Trex would rely so much on USDT that they didn’t fully vet it is absurd as well. Whats more likely, Polo/Trex’s due diligence or this @Bitfinexed person based on conjecture?
I’ve already seen a Forbes contributor try and get ahold of Bitfinexed on twitter. https://twitter.com/laurashin/status/894437272241569792
Could I be wrong about all of this??? Of course, but, I feel I have provided more evidence than the other side. You are the Judge :)
USEFUL INFO
Some from u/udecker - Tether co-founder
Tether.to is who has the backing for the token, not Bitfinex. Bitfinex is a customer of Tether. If Bitfinex wants more Tether, they make a request to Tether, just like all other Tether customers. Tether waits for USD to show up, and when it does, creates the necessary tethers and credits Bitfinex. They both have Tawainese banking so money can flow back and forth easily. (The banking industry in the country of Taiwan are under scrutiny lately because of larger legal issues not involving crypto, but clearly affecting crypto companies)
https://wallet.tether.to/transparency
Tether wasn’t designed to be a profit machine. It was designed to be a utility for the crypto community to provide a stable token (with all the benefits of this). Tether’s business model is this: 1. Generate fees from wire deposits and withdrawals and conversions. 2. Interest income on the reserve.
Bitfinex’s parent company owns a 20% stake in Tether.
People say Tether isn’t being burned. But they are being recycled which is/was always an option.
I hope we can have a productive conversation around this without the usual Gox 2.0, sell it all, Bitfinex is the anti-christ comments with no substance. Give us your opinion and perspective because maybe I am missing something… but, maybe you are too.
This was quite time consuming (just ask my kids and boss, lol) So if you found this info helpful you can donate if you’d like here, if not, no biggie smalls :)
ETH - 0x0181D1C82229BAD741BB6c302ae523aE6DC9a1EE
BTC - 14Wz4SCuKwa81UBh1U7mcaCTxMsYLLuGZK
BCH- 16uby9gW79tjn5guQG8v5mTsdu6V6cYyKF
submitted by bhdgsetyf to CryptoCurrency [link] [comments]

The truth about Bitfinex and Tether...

EDIT: I realize this is long, but I feel it's important to have this info out there. Maybe save it for later when you see this narrative being pushed around so you can come back and get the other side.
EDIT 2: TL:DR - Most negative analysis on this sub lately of Tether are likely from a single biased source that stretches a lot to make his points, and there is simply not enough Tether in the market nor is it concentrated enough to create a catastrophic problem or significant inflation for any USDT currency pair.
Like many of you, I have heard the stories and posts about the fraudulent tether, I trade in this space on many exchanges and the growing concern is worrying, so I did my due diligence, and I would like to share it with the community.
First and most importantly IMO, all this controversy stems from just one account/person. A person on twitter going by the handle @Bitfinexed - https://twitter.com/Bitfinexed
Here you can see this person's writings - https://medium.com/@bitfinexed/latest
Spoofy, Tethers and institutional investors are what they contend to be the lies and fraud, AND that this entire rally in 2017 is based on fraudulent Tethers and spoofing, and that this will implode the markets.
I feel this is also important… Turns out this person sold at $1000, maybe the real reason he is on this mission??… https://twitter.com/whalepool/status/896460700461277185
Now for some troubling info, the majority of this narrative (FUD??) here on Reddit in the last month come from just three accounts.
https://www.reddit.com/useAtlasRand1/submitted/
https://www.reddit.com/usecetusfund/submitted/
https://www.reddit.com/useAnythingForSuccess
As you can see these accounts entire mission is to post constantly about this. They all show up on the other’s post to comment regularly.
Btw, some people on the pro-finex side think this is a smear campaign from other exchanges. I don’t believe this to be the case. This person(s) only talk about TetheFinex, yet Tether is used and traded by the $millions daily on 3 of the top 5 exchanges, Finex, Bittrex, Polo, yet never a word about those other exchanges. (Check the USDT volume on other exchanges) https://coinmarketcap.com/assets/tethe#markets
Therefore, if it is an exchange, it isn’t Trex/Polo because this would affect them as well. If it was an exchange other than Trex/Polo they would have plenty of fire power against 3 of the top 5 exchanges with Tether fraud.
This leads me to believe it is most likely a sad person(s) with an ax to grind. They might have lost their $ on Finex to what they believe are spoofers/fraud and or they were part of the finex hack and sold there BFX too early.
Btw I see contention that Bitfinex did NOT pay back the $ from the hack. They did, but some people are mad because they sold BFX early and didn’t recoup full $ amount from haircuts, but that was their decision.
~ POINTS OF CONTENTION
SPOOFING This is what set my alarm bells off about these articles I read from Bitfinexed. Specifically spoofing… https://hackernoon.com/meet-spoofy-how-a-single-entity-dominates-the-price-of-bitcoin-39c711d28eb4
and this nugget…“And who the hell is going to go margin long so dramatically after a huge crash?” from this article… https://medium.com/@bitfinexed/are-fraudulent-tethers-being-used-for-margin-lending-on-bitfinex-5de9dd80f330
Claiming spoofing shows this person has limited markets/trading knowledge. Clearly they haven’t watched an order book of any exchange in crypto, equities, or Forex.
This is called scalping or scare walls. Again this is done in every market around the globe.
Here is a professional FOREX trader talking about scalping, how it works, who/why they do it. https://www.youtube.com/watch?v=EYMIPmgRb_M&list=WL&index=94
TL;DW - they do this to get the price where they want it because they know people are watching the order book (the video is quite enlightening), and the key point that keeps this from being an illegal activity (on regulated exchanges) is THAT THEY DO MAKE TRADES FOR THOSE SIZES eventually. This doesn’t always work and they get stuck in these positions. Risk/reward.
The ironic part about this spoofing idea is Finex is one of the few, if not only exchanges, that offer hidden orders. So people trying to scalp always have to worry if there is a monster hidden order lurking.
Go to the UPDATE: AUGUST 7TH of this story and watch the video he claims proves spoofing and Phil Potter admitting it in the voice over. https://hackernoon.com/meet-spoofy-how-a-single-entity-dominates-the-price-of-bitcoin-39c711d28eb4
I see nothing wrong with what Phil says and no proof of anything in the video. Again this is true on every exchange trading anything of volume in the world. People with large amounts of money move markets, oh the horror. I “technically” do this when I place an order and pull it for whatever reason (scared, mistake, etc.) just not in large sums, but I would if I had large sums.
“And who the hell is going to go margin long so dramatically after a huge crash?” The crash they are referring to is from the early June ATH to the mid-July correction. A 45-day crash? Well, I am one of those people that went margin long. And many many others who read charts, resistance, support, retracement info. Again, this smacks of someone who doesn’t know what they are talking about.
REASON FOR PRICE RISE/BTC GOES UP WHEN TETHERS ARE CREATED
This is absurd. This completely negates everything else, the Japanese currency ruling and them entering the market, Koreans coming into the market in a huge way (they now have the largest exchange by far with close to a Billion traded DAILY, oh and they don’t use Tether at all), the successful hard fork, or the more (positive!) interest from the media and people than ever before in BTC history.
Instead, we are supposed to think that $395 million dollars of tethers are the reason for this rise in a $160+ Billion market cap. 
C’mon people! Look at that volume for the last 30 days. https://imgur.com/a/vKJ5g Also, the overwhelming majority of trade does not exist in Tether but KRW, CNY, USD, JPY.
Tethers are usually created when extra liquidity is needed, be it a crash or a spike. Because more people are trading.
They try to prove Tether boosts the market with this picture in their article. https://imgur.com/a/274SE
The problem is 2 of the last 3 tether dumps coincide with a downturn. In fact, there is nothing in this graph that proves this theory. Also, the last tether dump/price rise coincides perfectly with the news of the majority of miners signaling segwit2x for the first time (search bitcoin or btc around that date).
So do you think the market traded billions of $ at that time because of a $50 million Tether dump or because for the first time in YEARS a solution and path forward became visible??
THEY DON’T HAVE BANKING//NO INSTITUTIONAL INVESTORS/FAKE TETHERS-TERMS OF SERVICE
In regards to banking, clearly they have some kind of banking and a way for large amounts of fiat to get in and out. The banking is not for you and me but for regional bitcoin exchanges and other large customers.
You know how I know this? If they didn’t the internet would be flooded with Finex withdrawal issues, there would be a price premium on Bitfinex compared to other exchanges, just like Mt. Gox had for so long and also Bitfinex earlier in the year when the banking issues started.
This article explains it very clearly (seriously read this article), it has nothing to do with this controversy, just the banking issue in April.
https://medium.com/@Austerity_Sucks/why-bitfinex-went-from-a-premium-in-its-crypto-usd-pairs-to-now-a-significant-discount-e7be193d7cb0
TL;DR - All of the imbalances discussed (Finex premium) have been a result of USD frictions into Bitfinex. It has been a chain reaction resulting from the initial freeze to the various gradual withdrawal options. As soon as Bitfinex conclusively addresses the USD flow issues, the crypto pair prices will normalize (which they did) with other exchanges that don’t have banking frictions and USDT price will return to par (which it did).
The premiums on Finex and Tether are what would prove something is wrong, yet they are not here. Surprisingly Finex has been at a discount to GDAX and GEMINI recently. Meaning people are willing to take a loss on prices to be able to lend on Finex. This too will normalize as people/bots arb.
Aug 9th… From “arguably” bank fraud https://twitter.com/Bitfinexed/status/895339675120013313
Aug 22nd…. To “admitting” bank fraud https://twitter.com/Bitfinexed/status/900230917196836864
Listen to that audio in the second link, listen carefully. His explanation is perfectly reasonable. Banks don’t work well, consistently, or at all with crypto related companies (marijuana companies too for that matter) especially in jurisdictions that are outside US/Europe. Surprise surprise, this is nothing new. When they find out customers, deposits/wire are cryptos related they pull the plug (a reason why Trex/Polo don’t mess with USD).
Also, they gave their customers a haircut, probably a lot of complaints about the hack to Wells Fargo and other banks. These are the correspondent's banks, not Finex’s, they have banking. This is how they can receive large institutional deposits and withdrawals. Which I bet make up the majority of the fiat deposits and withdrawals.
Classic 80/20 business rule, 20% of your clients are providing 80% of the liquidity plus you are having banking issues (which is expected in crypto-land), so you cut this service to the 80% saving time/resources/headaches for the 20% loss in a single service to them (no fiat withdrawal/deposits- but crypto flows in and out with ease).
Again if they weren’t able to get money in and out there would be a premium, there would be a long line of complaints online. I have no reason (or proof) to believe that money is NOT coming into/out of the exchange.
It makes total sense too, they are the best lending platform, have one of the most liquid exchanges, and have by far the most reliable and best software/servers/UI/order options. You cannot deny this fact, they are constantly a top 3 exchange in volume, even after a hack.
I use Finex (as well as others) because of all those things. Also, they have already been hacked, a second hack seems less likely (IMO, they have more to lose with another hack). They have many big events on the horizon (Ethfinex). Would a company be putting resources into these things if this is all fraud or an exit scam? I find that unlikely. Is this 100% full proof? Of course not, nothing is, especially in crypto, just my reasons for trading there.
Institutional Investors - https://medium.com/@bitfinexed/are-legitimate-institutional-investors-really-coming-onto-bitfinex-s-platform-i-don-t-think-so-cb4ed5175092 Here is what this person doesn’t comprehend, what if these institutional investors are… you ready… here it comes… other exchanges that use Tether, as well as other crypto related businesses. It is only $395 million Tethers. These exchanges (Trex, Finex, Polo) are printing money.
This isn’t “someone” with 100’s of millions of dollars as the article suggests, it’s many people with millions/thousands of dollars. Again this all ignores the fact that many more people have entered the ecosystem this year. This is proven by Coinbase growth, transaction growth, and exchange growth (both in volume and # of exchanges), and growth in crypto-related sub-Reddits.
Yet Bitfinexed is shocked that lending hits ATH’s, but it is perfectly explainable and reasonable based on the evidence and data of gthe ecosystem. Let us not forget BTC is a finite amount, more people are going to increase demand/price, if you think this is a bubble... you haven’t seen anything yet.
The TOS are sketchy and a point of concern but there are two things to keep in mind- It was necessary to word it that way, and the market clearly doesn’t care.
If they had worded it that they will redeem no matter what, they would have money launderers flocking to the service (bogging down resources), plus law enforcement knocking.
Tethers weren’t created to get $ in/out of crypto but to provide a safe haven and liquidity on exchanges that don’t use USD. And I would say they are working perfectly. Very few are withdrawing USDT for USD.
I think it is precisely because of what the co-founder of tether refers to here (and below)… “If you want to convert USD₮ into fiat currency (or vice-versa) at tether.to, you must go through the whole “aggressive” KYC/AML process and get verified. I’ve heard from many who tried and were unable to provide sufficient documentation. Tether’s KYC/AML policies were written by experienced compliance officers and it’s critical that it be done properly and with diligence. It really is about “knowing your customer” and making sure that their uses are legitimate.” This is a perfectly reasonable explanation why people are not lining up to cash out of Tether, and also why large/reputable institutions can (exchanges, investors, etc.).
TETHERS REPLY TO ALL THIS, PLUS UPCOMING AUDIT https://tether.to/tether-update/
Now ask yourself this, would a company that is operating fraudulently have a roadmap of all these new features that no one will ever use if they don’t provide these promised audits as they say they will by the end of the year?
So as of now they have enough runway until the end of the year. I say we give TetheFinex the benefit of the doubt.
While Tether could be operating fractionally (so to could any exchange in crypto btw), there is no proof or evidence of it today. It trades at normalized rates. You can’t just create 100’s of million of dollars without the marketing realizing somewhere.
Sure, you can say this is a confidence game, but so is crypto, so is the USD, so is the concept of money. I see no reason to be more concerned with this risk than the already risky environment we trade in with exchanges.
WHAT IF I”M WRONG? CRYPTO WILL IMPLODE!
No it won’t. Sure there will be a dip maybe even a correction, but there are only 395 million Tethers. People will get out of Tether even at massive discounts (until $0) into crypto because they can’t get USD, but not more than the 395 million tethers circulating (at this time).
At a certain discount people will understand what is going on and stop trading for Tether. BTC + ETH is worth over $100 billion, how many time does the entire amount of USDT have to turn over to cause a massive crash?
What will get hit the hardest are the people left holding tether (if/when they implode) and Trex/Polo/Finex.
To think Polo/Trex would rely so much on USDT that they didn’t fully vet it is absurd as well. Whats more likely, Polo/Trex’s due diligence or this @Bitfinexed person based on conjecture?
I’ve already seen a Forbes contributor try and get ahold of Bitfinexed on twitter. https://twitter.com/laurashin/status/894437272241569792
Could I be wrong about all of this??? Of course, but, I feel I have provided more evidence than the other side. You are the Judge :)
USEFUL INFO
Some from u/udecker - Tether co-founder
Tether.to is who has the backing for the token, not Bitfinex. Bitfinex is a customer of Tether. If Bitfinex wants more Tether, they make a request to Tether, just like all other Tether customers. Tether waits for USD to show up, and when it does, creates the necessary tethers and credits Bitfinex. They both have Tawainese banking so money can flow back and forth easily. (The banking industry in the country of Taiwan are under scrutiny lately because of larger legal issues not involving crypto, but clearly affecting crypto companies)
https://wallet.tether.to/transparency
Tether wasn’t designed to be a profit machine. It was designed to be a utility for the crypto community to provide a stable token (with all the benefits of this). Tether’s business model is this: 1. Generate fees from wire deposits and withdrawals and conversions. 2. Interest income on the reserve.
Bitfinex’s parent company owns a 20% stake in Tether.
People say Tether isn’t being burned. But they are being recycled which is/was always an option.
I hope we can have a productive conversation around this without the usual Gox 2.0, sell it all, Bitfinex is the anti-christ comments with no substance. Give us your opinion and perspective because maybe I am missing something… but, maybe you are too.
This was quite time consuming (just ask my kids and boss, lol) So if you found this info helpful you can donate if you’d like here, if not, no biggie smalls :)
BCH- 16uby9gW79tjn5guQG8v5mTsdu6V6cYyKF
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