Where is the EDGE in trading? The most important thing in

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:
submitted by ForexBorex to Forex [link] [comments]

3 years, 28 pairs and 310 trades later

This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief.
What is this?
I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it.
What changed?
Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens.
Where can I see your backtested result?
I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system.
What was the sample size?
I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number.
What is the bottom line?
If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended.
Who wins?
The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level.
I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target.
Drawdown management
The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further.
What's next?
I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes.
Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend.
I think I don't have much else to add. I like the strategy. Feel free to ask questions.
submitted by Vanguer 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?
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Worldwide standard in crypto trading

Worldwide standard in crypto trading
The Future Trade was established in 2018 with the view to procure itself as the premier trading platform to furnish customers with a scope of incorporated administration from our organization across the world. Being premier means top customer-oriented services and the best deals to unfold with us. The Future Trade has organized itself by combining the blend of factors leading to make the most of the opportunities. The increased pursuit for Forex and Crypto leads the way for The Future Trade. We focus at directing the investments to mobilize funds by capitalizing across various ventures for interactive earnings. We center at guiding the speculations to activate assets by underwriting crosswise over different endeavours for intelligent profit. Such a huge endeavor is just conceivable with a similarly broad monetary yield. Forex and Crypto being the broad money related segments tune in as the best channel to course restitutions to our regarded clients. The Future Trade focuses itself to achieve monetary and budgetary soundness to serve the necessities of resulting ages. With the spirits and norms set high, we maintained ourselves in prevailing to make this endeavor an everlasting one. The Future Trade will now lead its way into the industry for developing and accessing the financial world persuasively.
Consistent endeavours have been made to offer answers for the most well-known money related issues and engaging clients with the information and the systems to pursue. Comprehensively, through this establishment we will lay our means towards turning into an exchanging pioneer and supporting clients to assemble better lives.

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How do cryptocurrency markets work?

Cryptocurrency markets are decentralized, which means they are not given or upheld by a focal position, for example, a legislature. Rather, they stumble into a system of PCs. Notwithstanding, cryptocurrencies can be purchased and sold by means of exchanges and put away in 'wallets'.
In contrast to conventional monetary forms, cryptocurrencies exist just as a common computerized record of possession, put away on a blockchain. At the point when a client needs to send cryptocurrency units to another client, they send it to that client's advanced wallet. The exchange isn't viewed as last until it has been checked and added to the blockchain through a procedure called mining. This is likewise how new cryptocurrency tokens are normally made.
The Future Trade Investment is offering its Clients the likelihood to benefit, by exploiting cryptocurrency value developments. We make beneficial exchanges using the value contrast in the open market on crypto exchanges at various occasions. We offer extraordinary compared to other cryptocurrency trading administrations in the business working with our cutting edge hardware and propelled programming for genuine crypto trading.

Why invest in cryptocurrencies?

The soaring ascent in cryptocurrency worth is shaking up the money related markets. Cryptocurrency market was esteemed at $500 billion U.S Dollars toward the end of 2017. It's worth rose over 360% from the earliest starting point of 2017. Digital currencies are known at their quick cost developments, giving conceivably exceptional yields on speculation.

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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/
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Forex Profit Signals

What is Forex Trading:
Forex Trading is trading currencies from different countries against each other. Forex is an inter-bank market that took shape in 1971 when global trade shifted from fixed exchange rates to floating ones. This is a set of transactions among Forex market agents involving exchange of specified sums of money in a currency unit of any given nation for currency of another nation at an agreed rate as of any specified date. During exchange, the exchange rate of one currency to another currency is determined simply: by supply and demand - exchange to which both parties agree.
Actually Forex is the financial game between BULLS and BEARS.
The Major currencies pairs are:
EUUSD GBP/USD USD/JPY USD/CHF USD/CAD AUD/USD
And these are the 6 best Forex Markets.
What are Forex Signals?
Forex signals are indicators that let you know when it's a good time to buy or sell a currency pair. They provide you with insight as to what's going on in the Forex market without the necessity to monitor Forex trends throughout the day. If you are self-employed or employed by another company, Forex trading is likely a part-time endeavor for you. You won't have time to sit at the computer and monitor the Forex market all day. Forex signals can be delivered to you throughout the day by professional Forex traders to give you a heads-up on what's going on in the market. You can receive the signals, and then place the signals for buy or sell.
Forex signals are basically "suggested" buy and sell points with price targets and stop-loss levels delivered by fx signal providers to traders. They may be delivered by email, instant messenger, cellphone, live currency trading systems or direct to your Forex signal metatrader on your desktop.
Forex trading is a risky business and it takes some time to master the art of Forex trading signals. There are a number of fx signal providers but before you choose, you need to make sure you have done your homework. Always ask for the Free signals to deliver for 3 to 5 days and test those signals in your Demo Account.
The main characteristics of Forex trading signals to be aware of are as follows;
Cost: monthly subscription Complexity: Simple "one email a day" OR Full-Service Control: You keep full control OR the signal provider trades your a/c for you
Most Forex trade signals charge a very modest subscription fee, usually in the region of USD $80 - $400 per month.
If you're new to Forex trading, you probably realize how important it is to make the right trading decisions. One wrong trading move can drastically harm your portfolio while a good move can bring tremendous profits. That's why trading signals are so important. Once you've tried a Forex demo account for practice and created a strategy that works for you, you can add trading signal services as a useful tool in your Forex trading.
With online Forex, finding a trading signal service is easier than ever.
In their simplest form a Forex trading signal will send you a Forex alert email once a day listing trade set ups for the next 24 hours.
Some Forex signal providers offer a free trial service, thus allowing currency traders to sample the signals to assess their worth. This is a helpful step, as it allows the trader to consider the quality and reliability of the signals before paying money. This is a crucial element in the research process, and weeds out the providers who want money upfront as they are not confident in their ability to call profitable trades. This is a good service that you can try for free for 3 to 5 days.
Various fx signal providers offer a few complimentary services along with the featured ones. Look for a fx signal company that provides email support, phone assistance and even mentoring to their clients. This is of great value, especially to new traders.
They assign their time assisting traders in taking buy/sell decisions. Forex traders depend upon and trust the recommendations of these professional signal providers, while making investing decision in the Forex market
Forex signals are not meant to be a magic solution to all your Forex problems. They are designed to inform you about the market.
Forex business timing is extremely crucial; a trader can earn millions or lose even more depending upon the his timely or untimely actions. Besides, being the biggest market on the face of earth - it generates business activity of almost 3 trillion USD, it operates around the clock, all over the globe, making it thus impossible for a trader to stay vigilant all the time about market fluctuation and probable changes therein. Therefore a trader needs alarms and indicators to get knowledge about the possible opportunities and probable pitch points. Hence the need for Forex signal or alerts. Basically Forex alert or signal is a communication or intimation to the trader indicating the ripe time to buy/sell and the suitable price to pay/ask. Most of the time, such signals and alerts are provided by trained professionals, either individual or companies.
When choosing a Forex signal service, be sure the company offers the type of signal alerts you need. Every person is different. Some require computer or email alerts, while others are not accurate Forex signals are made for both professional traders and although new traders. The best Forex signals trading system is going to cover multiple situations on the Forex market. For instance the best Forex trade signals is going to cover all major currencies like GBP, USD, and EUR at all times the market is open, not only for specific situation. Simply to get the full value of your Forex trade you must know what is happening in regards to all the major currencies. The Forex system should also be able to give you at least 1-3 Forex trading signal alerts a day.
Some Forex trading signals are high volume scalpers, calling many trades in a day aiming to profit a handful of pips on each. Others only call a few trades a day, aiming to profit 20 - 80 pips on each single trade. Forex trading signal providers help you in minimizing risks or losses in trading.
Forex signals are generally given on a daily updated basis and all are contingent on factual market analysis and behavioral flow and not on mere hearsay and other speculations.
The signals are calculated and generated by using different indicators such as trends, moving average, Elliott waves, Bollinger bands, Fibonacci series, etc. In spite of that, some uses strategies like:
Pip Maximizer Method 1 Pip Maximizer Method 2 Pip Reversal Method Pip Divergence Method Instant Pip Method Pip Retracement Method Quantum Pip Strategy
... to give profitable and accurate signals.
The following question I wish to raise, is the abundant selection of Forex signals from which we can choose. Because of the variety of service providers, they offer different services, of which we must be aware. The first type of Forex signal provider will just send out trade alerts by email, often daily, sometimes at several intervals throughout the day. Thus you need to have a laptop of email receiving device ready at all times, to gain the most from trading Forex signals.
The next type to consider are through EA/Expert Advisors. These types of signals are not good at all because those are the computer oriented programs which can ruin your money within a few trades. But fortunately this is not such a big problem today, as more traders have email reading devices. The most crucial aspect concerning the format you receive the signals, is to ensure that you receive them immediately, and have the capability to act on them straight away - so you have to have immediate access to your Forex brokerage account, and place the trade as soon as you humanly can.
A unique benefit of trading Forex signals is that it gives guidance and discipline in a Forex currency trader. Forex profit signals service providers send you alerts when the conditions are right for the trade. They use cutting-edge technology which constantly monitor all major currency pairs for generating technical indicators.
Forex signal generators produce Forex signals which are indicators of ideal trading opportunities. These are certain algorithmic patterns which have been evident in successful Forex trades throughout the years. These Forex signals are then fed onto the program of Forex automated EA or Expert Advisors. This program will then either make Forex trading decisions for the individual while s/he is away from the computer or advice the individual about what to do. Forex EAs act like wizards which monitor currency ratings through online Forex Trading Platforms. One can look at Forex signals as triggers of commands which allow the automated system to function.
Forex signals can immeasurably add to the profits of a Forex trader.
How to Receive Forex Signals: Forex signal services are available to provide signals to you around the clock. These services usually have professional Forex traders who monitor the market 24/7 and provide you with up-to-date information. These services often charge a monthly or yearly subscription fee for their services. The methods used to deliver the Forex signals to you can vary from one service to the next. Signals can be sent through email alerts, to your phone or cell phone, through your pager, or even through a pop-up software system that will show a screen on your computer each time a signal is sent. The services also vary in how they present information to you. Some will provide live charts to give you more insight as to what as happening in the market.
Time frame for which the Forex trading signals are generated is equally important. Few trading signals can be valid only for a few minutes or an hour; others may have recommendations that are valid for a day or more. If the Forex trading signal providers generate signals for shorter time frame, you need to monitor the market frequently.
Some Forex signal service providers offer add-on services like email or mobile alerts. The service provider should have end-to-end technical support for the customers.
Even with experienced traders calling your trades, it's prudent risk management to never ever risk more than 3% of your initial capital on any one trade, preferably only 1%. So, if for example your initial capital, (or to put it another way, the maximum you can afford to lose) is let's say 5,000, the position size you take on each trade should be such that if the trade hit your stop loss, your maximum loss would be no more than 1% x 5,000 = 50.
Forex signal providers render Forex business quite a bit easy for traders, especially those who are relatively new in the business. Forex signal generation and provision can be either manual or automated and it provides entry/exit points of the trade streak for major or already chosen currency pairs. In manual signal generation system a simple trade signal is provided by the single provider. In automated signal generation system, the Forex system not only intimates and alerts the trade to either enter or exit the trade, but some times makes the deal by operating in synchronization with the trader's bank or broker.
Initially Forex signals and alerts used to come in the form of telephone calls and facsimiles. Now as we have stepped into the era of information revolution which has brought forth amazingly advanced digital technology, Forex signals and alerts generation and provision system has also advanced and become much more sophisticated and quick. Now these alerts come in the form of e-mails, SMS (Short Message Service, a way of sending text messages to mobile devices), or desktop software. However with trading Forex signals, there is no such chance to over trade your account. It is absolutely possible to learn the mental aspects of trading, by following a set of rules, and not to deviate from those rules.
Many trading Forex signals provide you with a complete set of instructions in order to take the trade. Frequently the signal will have multiple exits, which enable a trader to take money off the table in small steps. So this enables the currency trader to input all of these prices into his trading platform when he gets the signals, and then to switch off the computer.
As for any purchase, it is essential that the Forex trader first does his research into the more effective trading Forex signal service for him or her. This involves a lot of careful research, and reading various reviews and testimonials of the service in question. Before I go, in conclusion, the trader is strongly advised to practice using the trading Forex signals on a demo account first, so that the Forex trader can totally test out the profitability of the signals. This has an supplementary benefit for a complete new, as it will enable the currency trader to become familiar with the trading platform, and reduce the possibility of making any mistakes.
Whenever possible, go for a free demo account and then try your forex signals for a few days before becoming a paid member. Forex trading does involve some planning and strategy building so be prepared for a steep learning curve before trading with real money! I'm going to start by telling you some cool facts about the FOREX market.
As you may already know, FOREX is the acronym for "The Foreign Exchange Market." This market concerns itself with the buying and selling of the currencies of just about every country on earth. This market is BIG! So big, in fact, it's hard to wrap your mind around the size of it.
Listen. The daily average volume of FOREX is:
Almost 5 TRILLION Dollars Per Day!
I'm going to try to bring that fact home for you: The New York Stock Exchange has a daily volume of approximately 50 billion dollars. That means the FOREX is 100 times larger than the NYSE
Actually, the daily volume of the FOREX is triple the size of all other investment markets combined!
In spite of its size, the FOREX does not have a physical location or a central exchange. It operates through an electronic network of people, banks and companies that specialize in trading one currency for another.
Almost all FOREX trades are executed on the internet by someone sitting at a computer with a high-speed connection. So, if you don't like working with a computer you may as well stop reading... because... you will be left out.
Still with me? Good.
The Only 24 Hour Financial Market In The Whole World Because the FOREX does not have a physical location or a central exchange, it is able to operate on a 24 hour basis leapfrogging from one time zone to another across the major financial centers of the world.
The FOREX market actually follows the sun around the globe... because... as one country is closing for the day, another is just opening up. This market is open 24 hours a day, six days a week from 5:00 PM Sunday (East Coast Time) to 4:00 PM Friday (East Coast Time). This 24 hour access combined with its huge trading volume makes this...
The Most Liquid Market On Earth! Except for Saturdays, you can enter or exit the FOREX market anytime night or day. This market has virtually no gaps whatsoever and your stop-loss orders are almost guaranteed.
Can you imagine that? The multi-trillion dollar liquidity, combined with 24-hour trading access virtually guarantees your stop-loss orders will be executed without slippage.
Just try to get that kind of guarantee from your stockbroker!
The stock, futures and options markets cannot offer you this guarantee because the limited trading hours create frequent gap opens. Nearly all Forex brokers make sure their hours of operation coincide with the hours of operation of the global FOREX market.
Let's see, what else? Oh, yeah, no one can corner the market. The FOREX market is so huge and has so many global participants that no single individual nor entity... not even a central bank... can control the market for any significant period of time.
Plus, There Is No Insider Trading! Because of the vast size of the global FOREX market and its non-centralized nature, there is no chance whatsoever for disruptions caused by insider trading. There is less chance for fraud in the FOREX than in any other investment market. Best of all forex can never become zero but stocks can become zero and majority of the options expire worthless.
There are no commissions. Yep, you read it right. No exchange fees, no closing fees, no government fees, no brokerage fees. This all adds up to a very low retail transaction cost. If you select your broker properly, your round-trip transaction cost could be as low as .07 percent.
And know this, a very desirable by-product of extremely high liquidity is almost instantaneous transactions executed with blinding speed. You can leverage your trades by a factor of 50 to 1, 100 to 1 and even 400 to 1.
Not only that, you can trade with a very low margin with relative safety compared to the disastrous potential of margin trading found in other financial markets. Also it is tax free income if the country you reside has no capital gain tax.
And finally, if you get really great at currency trading, your potential financial reward is so big it can make your head swim!
submitted by PresentType to ForexCyborginfo [link] [comments]

An Honest Review of T3 Newsbeat Live

T3 Newsbeat Live is run by Mark Melnick, a 20-year veteran trader from New York. According to him, he made his first million at the age of 19 during the dot-com boom back in the late 90s.
He claims that his trading room is the fastest growing trading room at T3 and also the Wall Street’s #1 trading room. You can see this in the description of his videos on Youtube.
He is a big proponent of reaching the highest win rate possible in trading. He openly shares some of his trading strategies in free videos and claims that some of his strategies are batting over 70% or even 80 %.
He also often says that some of the members enjoy a win rate over 90% using his strategies.
I will let you be the judge of this.
Self-Promotion
He makes a lot of videos to attract new people into his trading room. His daily videos are uploaded on Facebook and Youtube almost daily even on Weekends (mostly excluding Friday evening & Saturdays).
In so many videos you’d hear him talking about how his trading room has an edge over other trading rooms while bashing other trading rooms as a whole.
He often talks about how his trading room bought stocks/options at the near bottom or shorted at the near top using his “algorithmic analysis” which can be applied to all markets (stocks, future, forex, crypto).
Piques your curiosity, right?
In fact, that’s how I got to give his trading room a try.
“Who in the hell wouldn’t want to catch the top & bottom in the markets, right?”
So, you would think people in his room and himself are making a killing using his algorithmic analysis?
Not so fast… (in fact, his algorithmic analysis is just drawing trendlines and identifying the most probable support and resistance)
When it works (of course, nothing works 100% of the time), you are able to catch just few cents off the top and bottom when it works if you follow his trade.
However, you have no idea how long you’d have to hold your position. Mark doesn’t know either.
So, he usually goes for nickels and dimes and rarely holds a position longer than 5 minutes.
Even if he’s good at picking bottoms and tops, you’d often risk more than nickels and dimes just to make nickels and dimes. Make sense, right?
…….
…….
…….
Also, because he gets out of his positions fast, he misses out on riding some potentially big trades.
Oh, how I wish stay in that position a bit longer. He doesn’t say but one can surmise that he often leave too much on the table.
Of course, it’s important to take your profit fast when you scalp but you consistently leave too much on the table like he does, one has to wonder if he has any system for taking profits (otherwise, it’s all discretionary guessing).
This type of bottom/top picking is not his main strategy, though.
The strategy that makes him the most amount of money might surprise you. I will get to this later.
How Mark Trades (Mark’s Trading Setups and Strategies)
Mainly, he scans the market in the morning for earnings reports, analysts’ upgrades/downgrades and other catalysts that have potential to make moves in the market.
He openly shares his mockery or insult of analysts, calling certain analysts “idiots” or “imbeciles”.
He puts on his first trade(s) early in the morning (from 9:30AM to 10:00AM Eastern Standard Time) when the market move is the most volatile.
Some of his strategies use market order during this period of volatile time using options. You can see why this can be very risky and especially on thinly traded options with side spread.
He does point out this but sometimes you hear people in the room stuck in an options position that they can’t get out.
Just like his trades from calling the top/bottom of a stock, he gets in and gets out of a position within minutes if not seconds while going for nickels and dimes while staring at 1minute and 5-minutes charts.
That applies to most, if not all of his strategies. (Yes, sometimes he does catch bigger moves than nickels and dimes.)
When you trade during the most volatile time in the morning, you’re subjected to wild moves in both directions. If you’re overly prudent or inexperienced in trading, your stop (unless very wide), has a very high chance of hitting. A lot of times it might stop you out and go in the direction that you predicted.
So, when you’ve been trading during this time, you’d probably don’t set a stoploss order or a hard stop to avoid getting fleeced.
You do have to be proactive at cutting your loss as quickly as possible. Otherwise you’d find yourself scrambling to get out your position while the bid keeps dropping.
I have to say that Mark is very cautious and he does get out of trades very fast if he has doubt.
A lot of times he lets out exhausting, heavy sighs and even murmurs some swear words when things don’t seem to go the way he wants in a trade. Besides calling certain analysts, “imbeciles” and “idiots”, this is quite unprofessional but no one in the room has the gut to point things out like this.
The irony is that he is the “head of trading psychology” at T3 and it doesn’t seem like that he doesn’t have much control over his trading psychology and let alone his emotion.
People in trading chatrooms, like a herd of sheep, as a whole exhibit herd mentality. Even in an online chatroom, you don’t often see someone ruffling feathers and say what they really want to say.
This is probably because of the certain amount of people believing whatever he says without questioning the validity and quality of his comments.
He has several strategies and according to him all of them have win rate over %70.
However, he also comes up with new strategies as often as every month. He either comes up with new strategy or tweaks his existing strategies.
According to him, the reason is that the market is always evolving and you need to constantly adapt yourself to the ever-changing market environment.
What do you think? Does this sound like someone with an edge?
And for someone who scalps for nickels and dimes, he claims to have the highest Sharpe Ratio that he has ever seen in the industry. I’m NOT making this up. He often utters remarks like “My Sharpe Ratio is one of the highest I’ve seen in my twenty-year trading career.”, “I want to create a of traders with a very high Sharpe Ratio.
How can you achieve a high Sharpe Ratio when you scalp all the time?
And let’s not even talk about commissions generated from frequent scalping.
Who cares about commissions when you can be a scalper with high Sharpe Ratio?
Now, I want to talk about something controversial about his most profitable strategy.
Chatters
According to him, he makes the most amount of money using what he calls “Chatters”. He admits he bets on this kind of trades heavily.
His chatter trades are based on the “newsflow” of big funds making a move in certain stocks and piggybacking on the same trade before others catch on.
No one knows how he exactly gets his “newsflow” and he doesn’t give a straight answer when asked.
Maybe he pays a lot for this kind of information or maybe it’s given to him for free. Who knows?
But it makes sense. The name of the room is Newsbeat Live. Without this the name wouldn’t be the same.
This is probably the only real edge that he has and it’s understandable that he doesn’t want to reveal how he get this kind of newsflow and from where.
By joining his trading room he’ll make a callout on these trades for you to take advantage of.
In order to do this kind of trade, you have to be very quick on your trigger finger.
Almost always the initial move is done within a couple of minutes, if not seconds. If you get in late, you find yourself a sucker buying at or near the top.
Also, because you want to get in as soon as you hear his “chatter” announcements, he advised people to get in within 5 seconds of each chatter announcement and use market order to get in. He said that if he had a small account, he’d bet 100% on this kind of “high-octane” chatter trades and get in and get out fast for “easy” money.
This was how chatter trades were done
…Until one they when many people got burned badly.
Back in September or October of 2019, a lot of people in the room lost a lot money because they market ordered call options contracts on a chatter trade.
The spread on that trade was something like BID: 0.5 ASK: 5.00 few seconds after he announced it.
I didn’t take that trade. No way, I’m going to buy something that has a spread like that.
If you’ve been trading options you know that this kind of spread can happen. Many people that day in the room marketed-in on the trade, taking the offer at ASK.
They found themselves buying at $5.0 per contract when someone probably bought the same contract at $0.40 or $0.50 just few seconds ago.
Someone walked away with decent profits on that trade.
This was the biggest trading chatroom fiasco I’ve ever seen.
People in the room grieving and throwing numbers of how much they had just lost. 10K, 20K, 30K and even $60K.
Could it be also that someone who lost more and didn’t want to talk about it because it’d hurt too much? And how embarrassing to talk about such a loss. I give credit to people who spoke up about it.
People were obviously distressed and what did Mr. Mark Melnick do at this moment?
Initially, he didn’t say much. But what he said he was going to walk away from the trading desk to clear his mind.
It took a while for him to come back and he mentioned that it hurt him a lot that people lost a lot of money and encouraged people not to hesitate to contact him.
I don’t think he ever said anything about that he made a mistake insinuating to load up on chatter trades. No apology since everyone who took the trade did it at their own risk. He advised people to reach out to their broker and do whatever it takes to get their trades annulled because the market makers in that trades were despicable crooks and evil.
But let’s get one thing clear. Perhaps the cold hard truth.
Since Mark is the one who announces chatter trades. he basically frontruns everyone who gets in on these trades after him. There were times when he doesn’t take his own chatter trades and lets the room have it.
But when he does, it’s a guarantee win for him.
He has some sycophantic followers in his trading room and these people are always hungry for chatter plays. I can imagine drooling over the idea of next chatter trades.
It’s human to naturally seek the least path of resistance and this type of trade requires no skill but having fast trigger finger and a platform that allows fast execution.
By taking his chatter trades, you are most likely to make money as long as you act fast to get in and get out.
The thing is, you don’t know when it’s exactly the next chatter trade is going to happen.
If you take a bathroom break, you just miss it. If you take a phone call or answer a door bell, you just missed it.
So, it requires you to be glued to your monitor(s) if you want to make the most of your subscription.
So, we went over Mark’s most profitable strategy. But wait we haven’t yet to talk about his overnight swing trades.
Mark’s Swing Trades
His overnight swing trades jokes. Yes, jokes.
A lot of his overnight trades are done just before earnings announcements when implied volatility is at the highest.
You’ve ever bought a call option just before earnings, predicted the right direction but only to find out that you still lost money next morning? This is because of the implied volatility crush post earnings. A lot of people new to options don’t know this and get taken advantage by veterans this way.
I don’t know if Mark knows or not but I witnessed him buying options this way. I think he understand the concept of implied volatility but why he gets on such trades is a mystery.
I haven’t exactly checked the result of all of his swing trades but I wouldn’t be surprised if people lost more money following his swing trades than anything in the room.
Final Word
Mark offers “free-consultation” on the phone for people who struggle in their trading.
He said that he takes a lot of phone calls but often you’d get the feeling that he is distracted, unable to give an undivided attention for his consultation.
“How would you like to get on a free consultation with a millionaire scalper who can take your trading to the next level?” Appealing isn’t it?
But would you want to get on the phone with someone who is going to give a consultation, even if he or she is distracted?
Oh, it’s a free consultation. Ok, why not? What do I got to lose?
In his videos, you’d hear him saying that he cares for everyone in his trading room and considers them as part of his family. And he runs the trading room out of his good heart and intention more than making money.
Besides he says that he makes more money from his trading than running the room.
My suggestion is that you have a look and you’d be the judge.
He does hold “open house” for his trading room from time to time.
Also, I believe that if you try his trading room for the first time, you try it for a month for about $50. As for me, he’s just another front runner using his trading room to profit with a bad sense of humor and exaggeration that make you cringe.
submitted by appplejack007 to Daytrading [link] [comments]

Looking for someone to collaborate with in exploring some of the fundamental questions in algo trading in relation to quantitative analysis and the Forex market specifically.

I got interested in both algo trading and Forex about the same time. I figured that if I was going to trade in the Forex market or any market there after, I was going to use algorithms to do the trading for me. I wanted to minimize the "human factor" from the trading equation. With the research I have done so far, it seems that human psychology and its volatile nature can skew ones ability to make efficient and logical trades consistently. I wanted to free myself from that burden and focus on other areas, specifically in creating a system that would allow me to generate algorithms that are profitable more often then not.
Consistently generating strategies that are more profitable then not is no easy task. There are a lot of questions one must first answer (to a satisfactory degree) before venturing forward in to the unknown abyss, lest you waste lots of time and money mucking about in the wrong direction. These following questions are what I have been trying to answer because I believe the answers to them are vital in pointing me in the right direction when it comes to generating profitable strategies.
Can quantitative analysis of the Forex market give an edge to a retail trader?
Can a retail trader utilize said edge to make consistent profits, within the market?
Are these profits enough to make a full time living on?
But before we answer these questions, there are even more fundamental questions that need to be answered.
To what degree if any is back-testing useful in generating successful algo strategies?
Are the various validation testing procedures such as monte carlo validation, multi market analysis, OOS testing, etc... useful when trying to validate a strategy and its ability to survive and thrive in future unseen markets?
What are the various parameters that are most successful? Example... 10% OOS, 20% OOS, 50%......?
What indicators if any are most successful in helping generate profitable strategies?
What data horizons are best suited to generate most successful strategies?
What acceptance criteria correlate with future performance of a strategy? Win/loss ratios, max draw-down, max consecutive losses, R2, Sharpe.....?
What constitutes a successful strategy? Low decay period? High stability? Shows success immediately once live? What is its half life? At what point do you cut it loose and say the strategy is dead? Etc....
And many many more fundamental questions....
As you can see answering these questions will be no easy or fast task, there is a lot of research and data mining that will have to be done. I like to approach things from a purely scientific method, make no assumptions about anything and use a rigorous approach when testing, validating any and all conclusions. I like to see real data and correlations that are actually there before I start making assumptions.
The reason I am searching for these answers is because, they are simply not available out on the internet. I have read many research papers on-line, and articles on this or that about various topics related to Forex and quantitative analysis, but whatever information there is, its very sparse or very vague (and there is no shortage of disinformation out there). So, I have no choice but to answer these questions myself.
I have and will be spending considerable time on the endeavour, but I am also not delusional, there is only so much 1 man can do and achieve with the resources at his disposal. And at the end of the whole thing, I can at least say I gave it a good try. And along the way learn some very interesting things (already had a few eureka moments).
Mo workflow so far has consisted of using a specific (free) software package that generate strategies. You can either use it to auto generate strategies or create very specific rules yourself and create the strategies from scratch. I am not a coder so I find this tool quite useful. I mainly use this tool to do lots of hypothesis testing as I am capable of checking for any possible correlations in the markets very fast, and then test for the significance if any of said correlations.
Anyways who I am looking for? Well if you are the type of person that has free time on their hands, is keen on the scientific method and rigorous testing and retesting of various hypothesis, hit me up. You don't need to be a coder or have a PHD in statistics. Just someone who is interested in answering the same questions I am.
Whats the end goal? I want to answer enough of these questions with enough certainty, whereby I can generate profitable algo strategies consistently. OR, maybe the answer is that It cant be done by small fry such as a retail trader. And that answer would be just as satisfactory, because It could save me a lot more time and money down the road, because I could close off this particular road and look elsewhere to make money.
submitted by no_witty_username to Forex [link] [comments]

Looking for someone to collaborate with in exploring some of the fundamental questions in algo trading in relation to quantitative analysis and the Forex market specifically.

I got interested in both algo trading and Forex about the same time. I figured that if I was going to trade in the Forex market or any market there after, I was going to use algorithms to do the trading for me. I wanted to minimize the "human factor" from the trading equation. With the research I have done so far, it seems that human psychology and its volatile nature can skew ones ability to make efficient and logical trades consistently. I wanted to free myself from that burden and focus on other areas, specifically in creating a system that would allow me to generate algorithms that are profitable more often then not.
Consistently generating strategies that are more profitable then not is no easy task. There are a lot of questions one must first answer (to a satisfactory degree) before venturing forward in to the unknown abyss, lest you waste lots of time and money mucking about in the wrong direction. These following questions are what I have been trying to answer because I believe the answers to them are vital in pointing me in the right direction when it comes to generating profitable strategies.
Can quantitative analysis of the Forex market give an edge to a retail trader?
Can a retail trader utilize said edge to make consistent profits, within the market?
Are these profits enough to make a full time living on?
But before we answer these questions, there are even more fundamental questions that need to be answered.
To what degree if any is back-testing useful in generating successful algo strategies?
Are the various validation testing procedures such as monte carlo validation, multi market analysis, OOS testing, etc... useful when trying to validate a strategy and its ability to survive and thrive in future unseen markets?
What are the various parameters that are most successful? Example... 10% OOS, 20% OOS, 50%......?
What indicators if any are most successful in helping generate profitable strategies?
What data horizons are best suited to generate most successful strategies?
What acceptance criteria correlate with future performance of a strategy? Win/loss ratios, max draw-down, max consecutive losses, R2, Sharpe.....?
What constitutes a successful strategy? Low decay period? High stability? Shows success immediately once live? What is its half life? At what point do you cut it loose and say the strategy is dead? Etc....
And many many more fundamental questions....
As you can see answering these questions will be no easy or fast task, there is a lot of research and data mining that will have to be done. I like to approach things from a purely scientific method, make no assumptions about anything and use a rigorous approach when testing, validating any and all conclusions. I like to see real data and correlations that are actually there before I start making assumptions.
The reason I am searching for these answers is because, they are simply not available out on the internet. I have read many research papers on-line, and articles on this or that about various topics related to Forex and quantitative analysis, but whatever information there is, its very sparse or very vague (and there is no shortage of disinformation out there). So, I have no choice but to answer these questions myself.
I have and will be spending considerable time on the endeavour, but I am also not delusional, there is only so much 1 man can do and achieve with the resources at his disposal. And at the end of the whole thing, I can at least say I gave it a good try. And along the way learn some very interesting things (already had a few eureka moments).
Mo workflow so far has consisted of using a specific (free) software package that generate strategies. You can either use it to auto generate strategies or create very specific rules yourself and create the strategies from scratch. I am not a coder so I find this tool quite useful. I mainly use this tool to do lots of hypothesis testing as I am capable of checking for any possible correlations in the markets very fast, and then test for the significance if any of said correlations.
Anyways who I am looking for? Well if you are the type of person that has free time on their hands, is keen on the scientific method and rigorous testing and retesting of various hypothesis, hit me up. You don't need to be a coder or have a PHD in statistics. Just someone who is interested in answering the same questions I am.
Whats the end goal? I want to answer enough of these questions with enough certainty, whereby I can generate profitable algo strategies consistently. OR, maybe the answer is that It cant be done by small fry such as a retail trader. And that answer would be just as satisfactory, because It could save me a lot more time and money down the road, because I could close off this particular road and look elsewhere to make money.
submitted by no_witty_username to algotrading [link] [comments]

What is the most reliable forex indicator?

Here i have given a brief explanation about Forex indicator. This will help you to get basic knowledge about this. If it is also not clear then don’t hesitate to Learn about MT4 indicators .You will get more information there, There are thousands of indicators that are used to find opportunities in the market and profit from them. However, most of them do not give good signals and will get you in the market late. In this article we will present several indicators which are the most accurate and give the biggest trading edge. 1584890638387.png The Bollinger Bands: The Bollinger Bands were developed 20 years ago by John Bollinger, and were designed to show the volatility of the market on the screen in an easy-to-comprehend manner. They give very good signals and can be used as support\resistance indicators, telling us - before the move occurs - that a reversal is prone to happen. When price touches the lower band it is oversold, and when price touches the upper band it is overbought. The trading method for the Bollinger Bands is basically to look for price-action support and resistance levels, and confirm them with bounces on the Bollinger Bands themselves. This results in very high win rate and consistent profits. The Relative Strength Index (RSI): The Relative Strength Index was developed 30 years ago by J. Welles Wilder, and is considered a powerful trading indicator that also has a predictive edge in the markets. It tells us when the price is overbought\oversold before the trends begin, so we can enter early and have great reward with little risk. The signals it gives are usually very accurate, and if confirmed using the Thomas DeMark mild bounce system it can even reach 70-80% win rate (depending on the timeframe). It is a very accurate indicator that we highly recommend. Simple Moving Average: The Simple Moving Average, or the SMA, is an interesting trading indicator that most traders do not use in the right way. Most traders use it as a trend-following indicator to enter trades after a trend has been established, however we use it in an entirely different way. The most accurate and predictive way to use the SMA is in the bounce method: we wait for trend to establish, but instead of randomly entering, we wait for price to retrace to the moving average and bounce off it. Once a reversal signal is given we enter a trade in the direction of the trend with stop loss right below the moving average, thus entering at a tactical point with small stop loss and huge reward. The 3 indicator described above are the most accurate indicators for trading Forex and stocks, and have proven themselves in countless opportunities.
submitted by Rongpure1 to u/Rongpure1 [link] [comments]

Why I Think The Emphasis On "Strategy" Is So Misplaced

This is a recurring theme that's come up in people reaching out to me via DM. I'm getting asked a LOT about my 'strategy' and getting requests to review your strategies / trading plans, so I thought I'd bang out a post here as a sort of catch-all. It got to the point where I was copy / pasting the same reply to a number of people.
Strategy is really important. You definitely need a cohesive strategy or set of strategies that help determine what gets you in and out of trades. I personally run a mechanical trend-following system in addition to my discretionary style of trading. Even my discretionary style of trading however, is viewed through a framework that gives me consistent structure to follow on trade after trade.
Now that I've gotten that point out of the way, here is my next statement:* Strategy is COMPLETELY USELESS without having a thorough and expert understanding of the markets in the first place*
Here's my analogy: let's say you really want to get into the fast food business. Now let's say you're fairly smart and you realize that your best chances for success are to buy into an established franchise (McDonald's, Taco Bell, KFC, whatever). Now here's the kicker, who do you think is more likely to succeed at running this franchise? Someone who has worked within the industry their entire lives and knows it inside and out, versus someone with no industry experience. Okay, okay, that question is completely rhetorical; it's obvious who has the edge here.
Trading is no different, and it's why buying a course or finding a guru has let so many of you down so many times before. You're trying to follow an established plan (one that has in fact quite possibly brought success to whomever is selling you their wisdom), but without an expert understanding of the industry you are participating in.
If you reject my premise that knowing your shit when it comes to the macro side of things is important, that's fine. Let's take what seems to be the dominant retail route of pure technical analysis. If you don't know technical analysis inside and out, you are not setting yourself up for success when you buy a course (or even read through a free one like BabyPips). After doing a rough search for Forex courses, I haven't found any technical ones (maybe apart from Adam Grimes. I like Adam; don't know the guy personally, but know of him through colleagues) that actually teach you about technical analysis and not just are feeding you a strategy.
My entire point here is that if you don't engage with the nuts and bolts of the arena in which you're competing, you are at an inherent disadvantage. For example, I've talked to a trader that had Stochastics, RSI, AND MACD on their chart. What is the point of having 3 momentum indicators apart from enjoying a gratuitous circle jerk of redundant 'confirmation'? But this trader didn't know the math behind the indicators, what makes them similar and different, how they can be applied. If they did, then maybe they could have explained in greater detail how having those 3 gives them a defined edge.
My favourite example of a trader who 'knows their shit' is Thomas Bulkwoski. I don't like his style, but you can't deny he has done his homework. He has dived so deep into chart patterns that from memory he can quote you various failure points and success rates for individual patterns. He has meticulously studied what works and what doesn't, and can explain the WHY behind all of that.
If you don't know your shit, you will eat shit. So know your shit! Once you know your shit, then it becomes far easier to strategize.
End of rant :)
submitted by ParallaxFX to Forex [link] [comments]

From 50 to 1000.

I will do my best to explain everything in English, for any error or mistake please excuse me.
So a month back I posted a picture where I went from 50 to 1000 in 2-3 months time.
I got lots of questions how, what and people asking about my strategy. Anyway I won't discuss with you my strategy , why? I don't really have any.
The things I only use is SUPPLY/DEMAND and a bit of Price Action but trust me when I say it's all in the mind.
I've been trading since my 17. Not full time, but had few times off, then went back in, crashed, funded, crashed. After 5 years this was my first decent gain from a small account.

When I say I started with 0.01 lots it means I STARTED but during the journey I sure did increase my leverage.
LET'S START

1.YOUR ACCOUNT
-------------------------------------------------------------------------------------------------------------------------------
Why is this important?
See, in forex you can start with any amount you want. I've started with 1000/500/100/50 EU accounts. X is the amount you are willing to lose.
Obviously it's better to have a large fund so you don't get margin called too soon. But if you are a beginner, I recommend to start using small funds like 50-100-200 EU.
With a small fund you will be in a better position emotionally, there is not too much money on the line versus a 1000 account.
YOU ARE GONNA LOSE, several times. A bunch of times. Are you willing to take the risk? I like taking risks, I learn from my mistakes to that's what kept me going.
  1. EMOTIONS
------------------------------------------------------------------------------------------------------------------------------
This is very important.
Perhaps you have been demo trading for few days/months, seen some nice gains and started real trading and then BAM it went wrong?
If not, good for you but for many of us it goes wrong. Why? Because demo trading and real trading is very different. When your stake is at risk, your emotions change. Thus you forget everything you have done on demo with your emotions.

Losing 100 K on demo trading -> haha fuck that, it's demo anyways. I don't care at all.
Losing 5 euro on real trading -> you will feel like you want to cut your losses and stop trading.
This is how it went for me.
I've tried many strategies, courses, indicators, EA, call it up. But what I didn't try is taking control of my emotions.
Anyway, I tried being patient and started trading without any fucks given. Meaning = don't care about losing or winning your money. I used also small lots, but we will get to it later.
A nice strategy will give you an edge for bigger gains, taking control of emotions will help you handle losses and gains. It will help you not being greedy, it will help you not to watch your trades every fricking 5 seconds.
Seriously, what I want to say is the way you feel and act on demo..take it to real trading because this will help you.
I've had times where I went deep into the red, I just let my emotions handle and patience. That large draw down became some good positive $$$.

  1. LOTS, RISK/REWARD - RISK MANAGEMENT
------------------------------------------------------------------------------------------------------------------------------
I won't get too much in the RISK/REWARD system, you can look it up for better explanation.
Emotions and risk/rewards go hand in hand.
If you think Forex is get rich quick scheme, boy you are wrong. It's more like get poor quick scheme.
If you can handle your lot sizes and are happy with little reward or little risks..you will benefit in the long run.
The bigger the lot size, the more you gonna be emotionally dependent on that particular trade.
Controlling your lot size where you are emotionally independent gives you more confident and boost and you will survive during a large draw down.
Emotions and risk management will keep you away from revenge trading.

-----------------------------------------------------------------------------------
!!!!
So don't ask me for SL/TP rations, entry, exit, indicator ..etc because I don't use any.
I take care of my emotions and that's what works for me.
Find something that suits you because what I do won't work for you and vice versa. !!!!


I've taken a break now, I will start again in a week using the same fund.
submitted by sriyadh to Forex [link] [comments]

The Petrodollar Is The Root of All Evil

So here is the core element of what I believe, drives US foreign policy (Wars/Conflicts/Sanctions) and also domestic policy. I tried to trim my draft down so it's not a TLDR, but not leave out any critical information or citations/sources. This is pulled directly from this brief article: Petrodollar
"KEY TAKEAWAYS
This list of facts should make clear just how dependent US currency is on the global oil economy. Which brings us to something called The Triffin Dilemma .
"By "agreeing" to have its currency used as a reserve currency, a country pins its hands behind its back.
In order to keep the global economy chugging along, it may have to inject large amounts of currency into circulation, driving up inflation at home. The more popular the reserve currency is relative to other currencies, the higher its exchange rate and the less competitive domestic exporting industries become. This causes a trade deficit for the currency-issuing country, but makes the world happy. If the reserve currency country instead decides to focus on domestic monetary policy by not issuing more currency then the world is unhappy."
"Reserve Currency ParadoxBecoming a reserve currency presents countries with a paradox. They want the "interest-free" loan generated by selling currency to foreign governments, and the ability to raise capital quickly, because of high demand for reserve currency-denominated bonds. At the same time they want to be able to use capital and monetary policy to ensure that domestic industries are competitive in the world market, and to make sure that the domestic economy is healthy and not running large trade deficits.
Unfortunately, both of these ideas – cheap sources of capital and positive trade balances – can't really happen at the same time."
Obviously, the US and global economy is a complex system with many moving parts but I think, just this small amount of information begins to clarify the bigger picture. It seems as though most people have accepted the idea that we have engaged in bad faith wars in the name of stealing oil, which is true on some level, but we are not actually trying to seize the oil, we are trying to force the entire world to participate in OUR oil economy in a way that benefits us the most.
Which leads me to the final part of this post. The Non-Alignment Movement (NAM) is a collection of approximately 120 nations that have joined together, starting back during the cold war, in an effort to remain independent and not be pressured in to choosing sides between the US and Russia. Many of these countries, such as Iran, Iraq, Afghanistan, Libya and most recently, Venezuela and Syria, have either dropped the petrodollar or made efforts to trade in other currencies. If this list looks familiar, it's because we have invaded, occupied and/or attempted regime change backed by MSM reporting of human rights violations or threat of nuclear proliferation. Obviously, we have pretty solid evidence that most of these claims were completely false.
One of the main focuses of NAM these days, has been to conduct trade and handle the oil on their land, any way they see fit and they have been mounting a pretty strong coalition in response to the insanely harsh sanctions that we have tried to levy. Article About NAM and US Sanctions . This is essentially economic terrorism and unfortunately, most people, including myself, are not quite able to grasp just how de-stabilizing these sanctions are but it is slowly becoming clear to the public that we have been carrying out this policy of global dominance for decades.
The Trump WH and John Bolton just happen to be much more open about their motives: In January, White House National Security Advisor John Bolton issued a veiled threat on Twitter: My advice to bankers, brokers, traders, facilitators, and other businesses: don’t deal in gold, oil, or other Venezuelan commodities being stolen from the Venezuelan people by the Maduro mafia. We stand ready to continue to take action.
On his Twitter account, Trump insisted, “We have only one real currency in the USA, and it is stronger than ever, both dependable and reliable. It is by far the most dominant currency anywhere in the World, and it will always stay that way. It is called the United States Dollar!”
I realize that this may not be the most exciting topic, considering the kind of news we have been peppered with recently, but I think it is important for people to consider. It seems pretty clear that almost all of our military operations around the world have everything to do with giant oil companies, defense contractors and the petrodollar and have nothing to do with spreading democracy or freeing civilians from oppressive regimes. Our allegiance with Saudi Arabia makes a lot more sense and our insane obsession on Russia also starts to take focus. Russia is also a member of NAM and is basically the biggest country that has chosen to defy the US. And since we can't push them around like a weaker country, we rely on a constant fear-mongering campaign by our media outlets.
Following the NAM summit, Venezuelan Economy Minister Tareck El Aissami announced his country’s establishment of a payment system to meet obligations to Russia that will be covered with rubles. The developments have sent the US establishment into a frenzy.
Still working on part 2, but hope some people will find this informative....
submitted by rustcole01 to WayOfTheBern [link] [comments]

As much as I agree with the amount of scams out there, the money factor shouldn't stop you from trusting someone.

A lot will think the fact that somsone is a profitable trader means they don't need extra money and means they wouldn't bother selling a system. First of all, for the same reason that rich people do not pay their taxes, money is money, if you have a profitable system, you have the opportunity to sell it. Not selling it so that you can trade more is an opportunity cost no matter what. My 2nd point is that there are some good traders out there who want to help, who have more to offer than just a few encouraging words (as we have seen in this sub a few days ago), these people deserve the benefit of a doubt.
I just thought I'd post this since we've had a lot of posts on this topic lately and succesful traders such as Nicholas Puri, selling their strategy DO exist out there and deserve much more views than all of the other fake gurus. Nicholas offers a huge amount of concrete useful free content as well as motivational videos and it baffles me to see so little views he gets on his youtube channel (The Duomo Initiative) when guys like Tim Sykes have millions.
submitted by BohemianSon to Forex [link] [comments]

Backtesting is useless

Seems to me systems always seem to fail no matter how long you test.
submitted by dontknowheretogo to Forex [link] [comments]

How to Win in Forex

If you practice strict money management rules, then you will become the casino. The house always wins because the casinos know how to control their losses.
Most people have to learn the hard way.. or don't learn from their losses at all due to emotions getting in the way. Don't be fooled by people who use big lot sizes and make big wins on social media. They suffer big losses too and if they don't control their risk management then they will not last long. The problem is that far too many people want to get rich quickly, but nobody wants to get rich slowly. Some of you, if not most, know what I'm talking about.
Take this scenario for perspective. Let's say we have a contest based on these two constants.
Who is going to come out on top? Undoubtedly, me. Why?
Because at the end of the day, money management is the only thing that will be in charge of making your account go up or down.
So how do you exactly make sure that you are using proper risk management? I would suggest either downloading a position sizing indicator and throwing that on your MT4. This will do all the math for you, saving you countless hours over time. You can find a good one on Google. If you are serious and thinking about becoming a professional forex trader for years to come then you can spend 30 minutes searching for an indicator.
The second part is to stick to your trading system. This will require some backtesting. Save your money and take the time to backtest your system. A system is needed to properly trade forex. Why? Because a system is quantifiable.
A system is basically a series of "if, then" statements.
Example: If price is below my moving average, then do not enter a long position.
You need a string of rules, or constants, to create your system. Again, if you take trading seriously, then you will take all the time you need to play with all sorts of indicators in order to find your own system until you find what works for you. This step is crucial. This is why you can never rely on another person's analysis because it is not consistent and is out of your control.
When it comes to me and my money, I want to eliminate as many things as possible that are out of my control.
With this being said, this should be a clear explanation on why price action trading is nearly impossible to consistently make profits and win in forex. There's way too much guess-work involved. Don't believe me? Have you ever found yourself asking any of these questions below? If you do, then welcome to the majority of traders who lose money.
With this said, ladies and gentlemen.. as much as you want to believe you are some kind of magician, we cannot predict the markets.. especially if you're trading with pure price action.. at least not consistently. Predicting the markets is basically the same thing as trading blindly and it's a sucker's game IMHO.
The purpose of a system is to give you an edge over the markets.
To sum up this lengthy post, here are three takeaways:
  1. Create a quantifiable trading system.
  2. Practice proper risk management.
  3. Find what works for you.
Edit: Things to study.
Baby Pips
Trading in the Zone
No Nonsense Forex
submitted by jarjar- to Forex [link] [comments]

addaff

addaff

What Is Capitalism?

Capitalism is an economic system in which private individuals or businesses own capital goods. The production of goods and services is based on supply and demand in the general market—known as a market economy—rather than through central planning—known as a planned economy or command economy.
The purest form of capitalism is free market or laissez-faire capitalism. Here, private individuals are unrestrained. They may determine where to invest, what to produce or sell, and at which prices to exchange goods and services. The laissez-faire marketplace operates without checks or controls.
Today, most countries practice a mixed capitalist system that includes some degree of government regulation of business and ownership of select industries.
Volume 75% 2:05

Capitalism

Understanding Capitalism

Functionally speaking, capitalism is one process by which the problems of economic production and resource distribution might be resolved. Instead of planning economic decisions through centralized political methods, as with socialism or feudalism, economic planning under capitalism occurs via decentralized and voluntary decisions.

KEY TAKEAWAYS

  • Capitalism is an economic system characterized by private ownership of the means of production, especially in the industrial sector.
  • Capitalism depends on the enforcement of private property rights, which provide incentives for investment in and productive use of productive capital.
  • Capitalism developed historically out of previous systems of feudalism and mercantilism in Europe, and dramatically expanded industrialization and the large-scale availability of mass-market consumer goods.
  • Pure capitalism can be contrasted with pure socialism (where all means of production are collective or state-owned) and mixed economies (which lie on a continuum between pure capitalism and pure socialism).
  • The real-world practice of capitalism typically involves some degree of so-called “crony capitalism” due to demands from business for favorable government intervention and governments’ incentive to intervene in the economy.

Capitalism and Private Property

Private property rights are fundamental to capitalism. Most modern concepts of private property stem from John Locke's theory of homesteading, in which human beings claim ownership through mixing their labor with unclaimed resources. Once owned, the only legitimate means of transferring property are through voluntary exchange, gifts, inheritance, or re-homesteading of abandoned property.
Private property promotes efficiency by giving the owner of resources an incentive to maximize the value of their property. So, the more valuable the resource is, the more trading power it provides the owner. In a capitalist system, the person who owns the property is entitled to any value associated with that property.
For individuals or businesses to deploy their capital goods confidently, a system must exist that protects their legal right to own or transfer private property. A capitalist society will rely on the use of contracts, fair dealing, and tort law to facilitate and enforce these private property rights.
When a property is not privately owned but shared by the public, a problem known as the tragedy of the commons can emerge. With a common pool resource, which all people can use, and none can limit access to, all individuals have an incentive to extract as much use value as they can and no incentive to conserve or reinvest in the resource. Privatizing the resource is one possible solution to this problem, along with various voluntary or involuntary collective action approaches.

Capitalism, Profits, and Losses

Profits are closely associated with the concept of private property. By definition, an individual only enters into a voluntary exchange of private property when they believe the exchange benefits them in some psychic or material way. In such trades, each party gains extra subjective value, or profit, from the transaction.
Voluntary trade is the mechanism that drives activity in a capitalist system. The owners of resources compete with one another over consumers, who in turn, compete with other consumers over goods and services. All of this activity is built into the price system, which balances supply and demand to coordinate the distribution of resources.
A capitalist earns the highest profit by using capital goods most efficiently while producing the highest-value good or service. In this system, information about what is highest-valued is transmitted through those prices at which another individual voluntarily purchases the capitalist's good or service. Profits are an indication that less valuable inputs have been transformed into more valuable outputs. By contrast, the capitalist suffers losses when capital resources are not used efficiently and instead create less valuable outputs.

Free Enterprise or Capitalism?

Capitalism and free enterprise are often seen as synonymous. In truth, they are closely related yet distinct terms with overlapping features. It is possible to have a capitalist economy without complete free enterprise, and possible to have a free market without capitalism.
Any economy is capitalist as long as private individuals control the factors of production. However, a capitalist system can still be regulated by government laws, and the profits of capitalist endeavors can still be taxed heavily.
"Free enterprise" can roughly be understood to mean economic exchanges free of coercive government influence. Although unlikely, it is possible to conceive of a system where individuals choose to hold all property rights in common. Private property rights still exist in a free enterprise system, although the private property may be voluntarily treated as communal without a government mandate.
Many Native American tribes existed with elements of these arrangements, and within a broader capitalist economic family, clubs, co-ops, and joint-stock business firms like partnerships or corporations are all examples of common property institutions.
If accumulation, ownership, and profiting from capital is the central principle of capitalism, then freedom from state coercion is the central principle of free enterprise.

Feudalism the Root of Capitalism

Capitalism grew out of European feudalism. Up until the 12th century, less than 5% of the population of Europe lived in towns. Skilled workers lived in the city but received their keep from feudal lords rather than a real wage, and most workers were serfs for landed nobles. However, by the late Middle Ages rising urbanism, with cities as centers of industry and trade, become more and more economically important.
The advent of true wages offered by the trades encouraged more people to move into towns where they could get money rather than subsistence in exchange for labor. Families’ extra sons and daughters who needed to be put to work, could find new sources of income in the trade towns. Child labor was as much a part of the town's economic development as serfdom was part of the rural life.

Mercantilism Replaces Feudalism

Mercantilism gradually replaced the feudal economic system in Western Europe and became the primary economic system of commerce during the 16th to 18th centuries. Mercantilism started as trade between towns, but it was not necessarily competitive trade. Initially, each town had vastly different products and services that were slowly homogenized by demand over time.
After the homogenization of goods, trade was carried out in broader and broader circles: town to town, county to county, province to province, and, finally, nation to nation. When too many nations were offering similar goods for trade, the trade took on a competitive edge that was sharpened by strong feelings of nationalism in a continent that was constantly embroiled in wars.
Colonialism flourished alongside mercantilism, but the nations seeding the world with settlements were not trying to increase trade. Most colonies were set up with an economic system that smacked of feudalism, with their raw goods going back to the motherland and, in the case of the British colonies in North America, being forced to repurchase the finished product with a pseudo-currency that prevented them from trading with other nations.
It was Adam Smith who noticed that mercantilism was not a force of development and change, but a regressive system that was creating trade imbalances between nations and keeping them from advancing. His ideas for a free market opened the world to capitalism.

Growth of Industrial Capitalism

Smith's ideas were well-timed, as the Industrial Revolution was starting to cause tremors that would soon shake the Western world. The (often literal) gold mine of colonialism had brought new wealth and new demand for the products of domestic industries, which drove the expansion and mechanization of production. As technology leaped ahead and factories no longer had to be built near waterways or windmills to function, industrialists began building in the cities where there were now thousands of people to supply ready labor.
Industrial tycoons were the first people to amass their wealth in their lifetimes, often outstripping both the landed nobles and many of the money lending/banking families. For the first time in history, common people could have hopes of becoming wealthy. The new money crowd built more factories that required more labor, while also producing more goods for people to purchase.
During this period, the term "capitalism"—originating from the Latin word "capitalis," which means "head of cattle"—was first used by French socialist Louis Blanc in 1850, to signify a system of exclusive ownership of industrial means of production by private individuals rather than shared ownership.
Contrary to popular belief, Karl Marx did not coin the word "capitalism," although he certainly contributed to the rise of its use.

Industrial Capitalism's Effects

Industrial capitalism tended to benefit more levels of society rather than just the aristocratic class. Wages increased, helped greatly by the formation of unions. The standard of living also increased with the glut of affordable products being mass-produced. This growth led to the formation of a middle class and began to lift more and more people from the lower classes to swell its ranks.
The economic freedoms of capitalism matured alongside democratic political freedoms, liberal individualism, and the theory of natural rights. This unified maturity is not to say, however, that all capitalist systems are politically free or encourage individual liberty. Economist Milton Friedman, an advocate of capitalism and individual liberty, wrote in Capitalism and Freedom (1962) that "capitalism is a necessary condition for political freedom. It is not a sufficient condition."
A dramatic expansion of the financial sector accompanied the rise of industrial capitalism. Banks had previously served as warehouses for valuables, clearinghouses for long-distance trade, or lenders to nobles and governments. Now they came to serve the needs of everyday commerce and the intermediation of credit for large, long-term investment projects. By the 20th century, as stock exchanges became increasingly public and investment vehicles opened up to more individuals, some economists identified a variation on the system: financial capitalism.

Capitalism and Economic Growth

By creating incentives for entrepreneurs to reallocate away resources from unprofitable channels and into areas where consumers value them more highly, capitalism has proven a highly effective vehicle for economic growth.
Before the rise of capitalism in the 18th and 19th centuries, rapid economic growth occurred primarily through conquest and extraction of resources from conquered peoples. In general, this was a localized, zero-sum process. Research suggests average global per-capita income was unchanged between the rise of agricultural societies through approximately 1750 when the roots of the first Industrial Revolution took hold.
In subsequent centuries, capitalist production processes have greatly enhanced productive capacity. More and better goods became cheaply accessible to wide populations, raising standards of living in previously unthinkable ways. As a result, most political theorists and nearly all economists argue that capitalism is the most efficient and productive system of exchange.

Capitalism vs. Socialism

In terms of political economy, capitalism is often pitted against socialism. The fundamental difference between capitalism and socialism is the ownership and control of the means of production. In a capitalist economy, property and businesses are owned and controlled by individuals. In a socialist economy, the state owns and manages the vital means of production. However, other differences also exist in the form of equity, efficiency, and employment.

Equity

The capitalist economy is unconcerned about equitable arrangements. The argument is that inequality is the driving force that encourages innovation, which then pushes economic development. The primary concern of the socialist model is the redistribution of wealth and resources from the rich to the poor, out of fairness, and to ensure equality in opportunity and equality of outcome. Equality is valued above high achievement, and the collective good is viewed above the opportunity for individuals to advance.

Efficiency

The capitalist argument is that the profit incentive drives corporations to develop innovative new products that are desired by the consumer and have demand in the marketplace. It is argued that the state ownership of the means of production leads to inefficiency because, without the motivation to earn more money, management, workers, and developers are less likely to put forth the extra effort to push new ideas or products.

Employment

In a capitalist economy, the state does not directly employ the workforce. This lack of government-run employment can lead to unemployment during economic recessions and depressions. In a socialist economy, the state is the primary employer. During times of economic hardship, the socialist state can order hiring, so there is full employment. Also, there tends to be a stronger "safety net" in socialist systems for workers who are injured or permanently disabled. Those who can no longer work have fewer options available to help them in capitalist societies.

Mixed System vs. Pure Capitalism

When the government owns some but not all of the means of production, but government interests may legally circumvent, replace, limit, or otherwise regulate private economic interests, that is said to be a mixed economy or mixed economic system. A mixed economy respects property rights, but places limits on them.
Property owners are restricted with regards to how they exchange with one another. These restrictions come in many forms, such as minimum wage laws, tariffs, quotas, windfall taxes, license restrictions, prohibited products or contracts, direct public expropriation, anti-trust legislation, legal tender laws, subsidies, and eminent domain. Governments in mixed economies also fully or partly own and operate certain industries, especially those considered public goods, often enforcing legally binding monopolies in those industries to prohibit competition by private entities.
In contrast, pure capitalism, also known as laissez-faire capitalism or anarcho-capitalism, (such as professed by Murray N. Rothbard) all industries are left up to private ownership and operation, including public goods, and no central government authority provides regulation or supervision of economic activity in general.
The standard spectrum of economic systems places laissez-faire capitalism at one extreme and a complete planned economy—such as communism—at the other. Everything in the middle could be said to be a mixed economy. The mixed economy has elements of both central planning and unplanned private business.
By this definition, nearly every country in the world has a mixed economy, but contemporary mixed economies range in their levels of government intervention. The U.S. and the U.K. have a relatively pure type of capitalism with a minimum of federal regulation in financial and labor markets—sometimes known as Anglo-Saxon capitalism—while Canada and the Nordic countries have created a balance between socialism and capitalism.
Many European nations practice welfare capitalism, a system that is concerned with the social welfare of the worker, and includes such policies as state pensions, universal healthcare, collective bargaining, and industrial safety codes.

Crony Capitalism

Crony capitalism refers to a capitalist society that is based on the close relationships between business people and the state. Instead of success being determined by a free market and the rule of law, the success of a business is dependent on the favoritism that is shown to it by the government in the form of tax breaks, government grants, and other incentives.
In practice, this is the dominant form of capitalism worldwide due to the powerful incentives both faced by governments to extract resources by taxing, regulating, and fostering rent-seeking activity, and those faced by capitalist businesses to increase profits by obtaining subsidies, limiting competition, and erecting barriers to entry. In effect, these forces represent a kind of supply and demand for government intervention in the economy, which arises from the economic system itself.
Crony capitalism is widely blamed for a range of social and economic woes. Both socialists and capitalists blame each other for the rise of crony capitalism. Socialists believe that crony capitalism is the inevitable result of pure capitalism. On the other hand, capitalists believe that crony capitalism arises from the need of socialist governments to control the economy.
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RENKO TRADING SYSTEM FOREX HIGH PROBABILITY winning edge trading system Forex Trading On The Edge Part 2 Forex4Newbies - YouTube SIMPLE 1 HOUR TRADING TRADING SYSTEM

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RENKO TRADING SYSTEM FOREX HIGH PROBABILITY

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