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Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Gold and Silver rocket ride - 110k in 1 month

Gold and Silver rocket ride - 110k in 1 month
IMPORTANT: OVER 75% OF PEOPLE LOSE MONEY WITH CFD TRADING. IF YOU'RE A NOOB, DON'T EVEN THINK OF OPENING A CFD ACCOUNT. TRY MAKING CONSISTENT MONEY SWING TRADING ASX STONKS FIRST. THEN KEEP DOING THAT UNTIL YOU GET BORED AND WANT TO LOSE BIG MONEY VERY QUICKLY. ONLY THEN YOU MAY HAVE WHAT IT TAKES TO TRADE WITH LEVERAGE.
You most likely don't have my discipline and pain tolerance. Or my feel for risk/reward math. On top of this you need markets to play nice and a bit of luck.
I'm no wiz, but I know my strengths and weaknesses. I smell a good setup and prepare accordingly.
Hope you all nail your big opportunity when it shows up. If not, that's okay too. You'll keep getting chances. Be patient. Focus on small wins. Plus there's far more important things in life than being loaded.
------
How I lost 5k trading CFDs then turned it around
Back in April, I was playing with CFDs and nearly blew up my account. Started with $5k and dropped to almost zero because trading forex with leverage is a very stupid game. This is why IG gives you a demo account. But instead of using the demo account to learn how not to fuck up massively, I was using it to place giant YOLO shorts on US markets.
By being a bit less retarded on the forex trades I clawed back some losses then topped up the account with another $2.5k before starting to open small positions in gold. From 3 to 10 contracts depending on how confident I felt. Then smelling a massive opportunity, I ramped up the leverage by going with much larger positions.
Day 5
https://preview.redd.it/oqd955abwak51.png?width=1080&format=png&auto=webp&s=84aa309284c22117630899e39b8b1bfb89c670f3
Entering the silver trade
It was only after making decent profits in gold that I dared venture into silver. I wanted to enter silver around $18 but missed the boat after waiting too long for a dip. $20 was still great. Tons of upside left.
Silver is one nasty motherfucker to trade. It's a much smaller market than gold so the swings can be wild. Silver will play along nicely then suddenly fuck you really hard. If you use too much leverage you're basically waiting for your account to blow up. Stop losses will save you, but they can also kill your best trades. I didn't bother with stops for most of the ride because I'm an ASX_bets retard but also because I had ultra high conviction in the $25-27 price target.
Started with 25 contracts. I very nearly missed out on this mini pump. Some might call it luck.
Day 18
https://preview.redd.it/de8jozlexak51.png?width=1080&format=png&auto=webp&s=79d174c67a86754c7d9fd78aa594f88282c08834
Adding to my silver positions
Increased my position size once I had a profit buffer to protect against sharp drops. It's WAY easier to blow up a CFD account than it appears. When trades are going well you feel like you can keep adding leverage and make millions. But even small swings will kill you if your positions are too big. Discipline is key.
Buying 50 contracts in silver is not the same as 50 contracts in gold because silver moves are 2-4 times bigger. When gold moves 100 points, expect a 200-400 points move in silver. Having an equal mix of gold an silver contracts helped lower the overall volatility of my account.
Anything over 10 contracts in silver is big. You can lose hundreds within minutes. Buy 50 contracts, the price drops $1 and you're $5000 in the hole. I knew when to push and when to hold back. This was EXTREMELY important. I did not get greedy. I was happy to let price moves do most of the lifting.
Started the day with 3k profits. Went to bed that night with big beautiful bhags. 17k
https://preview.redd.it/qcbeoxvnxak51.png?width=1080&format=png&auto=webp&s=4228593b9d86cc5f0460f44af06c7292ea644625
Day 19
Woke up the next morning with even bigger bhags. 30k
https://preview.redd.it/9b439y5qxak51.png?width=1080&format=png&auto=webp&s=19e3ad27d7237bc88fdeb329ebcd113e11349554
Day 24
More pump. I added 50 silver contracts that day after a decent drop. Profits now up to around 41k.
Held through the big swings...
Like a proper bitch, Silver dropped another 5% soon after I added those 50 contracts and my 41k profit became 20k very suddenly. But no stop loss and I held firmly. What's a 21k drop when you've been down 35k on BBOZ before. Metals bounced back hard later that evening. Still not selling. High conviction made all the difference here.
Five days later and I was up to 50k profit.
At that point, I felt safe enough to add another 50 contracts.
https://preview.redd.it/j2at0n95zck51.png?width=1080&format=png&auto=webp&s=4a0ea2fabe6a245807fb9ee8a8d0bc4ce854ba3a
And it paid off BIG
Both gold and silver keep pumping. Profit now 86k.
Day 28
https://preview.redd.it/f3pz0an8zck51.png?width=1080&format=png&auto=webp&s=0ca765b6cad423786dee33a1366c70d324e39b8d
Why sell now?
Not selling yet. GV's silver target was $25-27 so I was confident holding through some wild swings.
GV = Gold Ventures https://twitter.com/thelastdegree
A turbo chad from Belgium who made a massive fortune trading options during 2008-2011 when silver went from $9 to $50 before crashing hard. GV is a certified wizard when it comes to timing the gold and silver cycles. Started with his wife's 32k savings and is now worth 18 million EUR or USD, I'm not sure and who cares. GV is pretty low key but commands plenty of respect from other metal traders on Twitter.
Meanwhile GV was on holiday but still shitting money.
https://preview.redd.it/ixsxwjx30dk51.png?width=1080&format=png&auto=webp&s=9fd5741634a7a5b0f913f5ea12edf05722f9fddf
GV also has a junior miner portfolio worth several millions. I believe it's true. I went deep into his Twitter history. He was buying heavily into the March crash and some of his picks like AbraPlata have since made 10x. Junior miners are like call options on metal prices with no expiry date but you still need to pick winners and enteexit at the right time.
Magical Six Figure Milestone
Not long after... BOOM! Hit 100k in profit.
When starting, I knew there was potentially 40k-50k to be made from this setup even without playing it perfectly. I would have been okay with 20k.
Day 32
https://preview.redd.it/oy8sqsgz1dk51.png?width=1080&format=png&auto=webp&s=a8c628670578b81d72b9a41bd9d2307a27a2fbf7
Start taking profits
Silver was still going strong but I felt it was time to de-risk.
So I started taking profits on both gold and silver around that time.
https://preview.redd.it/gvdqs67a2dk51.png?width=1080&format=png&auto=webp&s=64a77d3ccca86fe6e29eb43e0c2eaf096f68867c
Okay I'm out
The way silver kept pumping, I knew a big correction was imminent. By 12pm I was completely out with over 110k profit. Home and dry.
I went on with my daily work routine, a bit more relaxed and not checking charts every 5 minutes.
And then metals dumped hard.
There was money to be made on the short side but there was also a strong possibility of shorts being squeezed. So I didn't bother.
https://preview.redd.it/opoio79i2dk51.png?width=1080&format=png&auto=webp&s=80187384d37e03eec8d01814248bbe4c5a48cc4f
After the dump, I had no appetite to get back in with big positions. In hindsight I could have made tons more if I held to $29 but the ride from $24 to $29 is far more risky than $20 to $26. I'm quite okay with my 40x performance. Plus I needed to reset mentally after this rocket ride. More often than not, the best thing to do after a huge trading win is to take a break. Wisdom gained from the BBOZ days :)
Withdrew my initial capital and 90% of the profits from IG. Left around 6k on the account to keep playing.
https://preview.redd.it/1djdhz1m2dk51.jpg?width=1080&format=pjpg&auto=webp&s=c028a06d4e0cf73bfb80f8ac48dd18e333b791d4
Feels good to have extra funds to invest with but I also need to set some aside for the monster tax bill next year. You're welcome Australia, and all the JobSeekeJobKeeper leeches.
Hey everyone, check out my insane stats!
That 85% win rate though...
  • IG MARKETS - TRADE ANALYTICS - 29 JUNE TO 29 JULY
https://preview.redd.it/slkmhrlq2dk51.png?width=1272&format=png&auto=webp&s=b15b261144d3cd55c1d28530a80efd30c49f3125
Less impressive when zooming out to include the forex train wreck in April and my more recent metal trades.
  • IG MARKETS - TRADE ANALYTICS - 1 JANUARY TO 17 AUGUST
https://preview.redd.it/jam28zau2dk51.png?width=1272&format=png&auto=webp&s=99fd332c319984f1de28d1ec7e6a58df2754946d
-----
Credits to:
https://twitter.com/thelastdegree - already covered above
https://twitter.com/DaveHcontrarian - called the metals and S&P500 bull runs
https://twitter.com/AdamMancini4 - simple yet powerful charts
https://twitter.com/badcharts1 - advanced silver charts
https://twitter.com/graddhybpc - advanced gold and silver charts
https://twitter.com/Northst18363337 - another master of charts
https://twitter.com/bhagdip143 - ultimate master of monster position and making bhags
BTW fuck Facebook groups, you'll hardly learn anything there. Full of losers. Twitter is where the elite traders and big dick fund managers bounce ideas. A solid Twitter list is worth thousands if not millions in the right hands.
submitted by _HeyHeyHeyyy_ to u/_HeyHeyHeyyy_ [link] [comments]

50 + Free & Best Selling Discounted Udemy: Business Analytics, Agile Project Management 200+ Tools with Kanban Scrum Devops , Big Data on Amazon web services (AWS), Front End Web Development , PHP MySQL & CodeIgniter Course: Complete Guide, Fundamentals of Engineering Thermodynamics and more

Business Analytics, Agile Project Management 200+ Tools with Kanban Scrum Devops , Big Data on Amazon web services (AWS), Front End Web Development , PHP MySQL & CodeIgniter Course: Complete Guide, Fundamentals of Engineering Thermodynamics
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The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

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  81. [9 lectures • 35m total length] Self - Care guide to bring peace in your life https://www.udemy.com/course/self-care-guide-to-bring-peace-in-your-life/?couponCode=PEACEFULMOMSFREE
  82. [28 lectures • 5h 43m total length] Learn Spanish : Complete Spanish Course for Beginners https://www.udemy.com/course/spanishfirst/?couponCode=LEARNANDREVIEW
  83. Create 2 eloquent forms within 2 hours https://www.udemy.com/course/create-2-eloquent-forms-within-2-hours/
  84. [17 lectures • 2h 5m total length] Java Programming: Complete Beginner to Advanced https://www.udemy.com/course/java-programming-complete-beginner-to-advanced/?couponCode=AUGUSTPROMO
  85. FREE | Real Estate Lead Generation 2019 | FREE Course https://www.udemy.com/course/lead-generation-real-estate-2019-high-quality-realto
  86. Create Your Dream Life – A Step-by-Step Guide https://www.udemy.com/course/personal-transformation-create-your-dream-life/
  87. Introduction to Celestial Navigation for Mariners https://www.udemy.com/course/celestial-navigation-basics/
  88. Create Facebook Ads That Will Work For Your Business Success https://www.udemy.com/course/how-to-create-facebook-ads-that-will-work-for-your-business/
  89. [309 lectures • 48h 57m total length] The Complete 2020 PHP Full Stack Web Developer Bootcamp $9.99 https://www.udemy.com/course/android-development-ndk-crash-course/?couponCode=C065247312645EA9085D
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👉 67 FREE Udemy & Eduonix Courses: Updated Today !!

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  40. Forex Trading With LIVE Account Examples of Forex Trading
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List of 95 Free Courses :

Source : https://www.facebook.com/groups/FreeCoursesWithCoupon/permalink/716371879203316/

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  22. [337 questions] CEH v10 Practice Test https://www.udemy.com/course/ceh-v10-practice-test/?couponCode=098BAFE74AA736ECE64D
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  32. [235 questions] Microsoft AZ-104 - Latest Practice Questions 2020 https://www.udemy.com/course/microsoft-az-104-latest-practice-questions-2020/?couponCode=FREEBIESGLOBAL.COM1
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  34. [45 lectures • 6h 51m total length] Marketing Analytics With R 2020 https://www.udemy.com/course/marketing-analytics-with-r-2020/?couponCode=ANALYTICS77
  35. [28 lectures • 1h 5m total length] Speed Reading Masterclass: Read 1 Book Each Week https://www.udemy.com/course/speed-reading-masterclass-read-1-book-each-week/?couponCode=FFCC1FB56A234F6C6DE3
  36. [225 questions] AWS Certified Solutions Architect Professional Practice test https://www.udemy.com/course/aws-solutions-architect-professional-practice-test-updated/?couponCode=FREEBESGLOBAL.COM1
  37. [81 lectures • 3h 23m total length] Microsoft Power BI: Latest 2020 Beginner to Expert Modules https://www.udemy.com/course/microsoft-power-bi-latest-2020-beginner-to-expert-modules/?couponCode=POWER1234
  38. [6 lectures • 1h 0m total length] Basics Of Stop Motion Animation Using Canva And OpenShot https://www.udemy.com/course/basics-of-stop-motion-animation-using-canva-and-openshot/?couponCode=CE5DDE00DD20E9A21136
  39. [23 lectures • 3h 49m total length] Introduction to Forex- learn to trade forex by yourself https://www.udemy.com/course/introduction-to-forex-learn-to-trade-forex-by-yourself/?couponCode=9EA343893E21D17B9E18
  40. [7 lectures • 1h 39m total length] Manual Design of Steel Foot Over Bridge For Civil Engineers https://www.udemy.com/course/manual-design-of-steel-foot-over-bridge/?couponCode=MJASSOCIATES
  41. [15 lectures • 2h 14m total length] Powerful Corporate & Business Strategy Taught in MBA's https://www.udemy.com/course/corporate-business-strategy-find-business-opportunities/?couponCode=5936DAFFA0CEAE2ABDD7
  42. [51 lectures • 9h 30m total length] Automate the Boring Stuff with Python Programming https://www.udemy.com/course/automate/?couponCode=COPSHOTMEINPORTLAND2
  43. [9 lectures • 35m total length] Self - Care guide to bring peace in your life https://www.udemy.com/course/self-care-guide-to-bring-peace-in-your-life/?couponCode=PEACEFULMOMSFREE
  44. [22 lectures • 46m total length] Authentic Mexican Cooking https://www.udemy.com/course/authentic-mexican-cooking/?couponCode=CD22283E769AA1AD9EB0
  45. [28 lectures • 5h 43m total length] Learn Spanish : Complete Spanish Course for Beginners https://www.udemy.com/course/spanishfirst/?couponCode=LEARNANDREVIEW
  46. Create 2 eloquent forms within 2 hours https://www.udemy.com/course/create-2-eloquent-forms-within-2-hours/
  47. [17 lectures • 2h 5m total length] Java Programming: Complete Beginner to Advanced https://www.udemy.com/course/java-programming-complete-beginner-to-advanced/?couponCode=AUGUSTPROMO
  48. RTI ACT 2005 [RIGHT TO INFORMATION]-INDIAN LAW https://www.udemy.com/course/rti-act-2005-right-to-information/?couponCode=40A937CB08C23D8D75D1
  49. [102 lectures • 10h 29m total length] Software development in Python: A practical approach https://www.udemy.com/course/software-development-in-python-a-practical-approach/?couponCode=D80B4493F82836780BB2
  50. [10 lectures • 2h 1m total length] Hands on Python3 Regular Expressions for Absolute Beginners https://www.udemy.com/course/hands-on-python3-regular-expression-2020/?couponCode=JOYOFLEARNING
  51. [15 lectures • 31m total length] Upgrading IT Infrastructure from Windows 7 to Windows 10 https://www.udemy.com/course/migrating-it-infrastructure-from-windows-7-to-windows-10/?couponCode=AUGUST2020
  52. Network and Operating System Ethical Hacking Course https://www.udemy.com/course/learn-certified-ethical-hackingceh-from-scratch/?couponCode=MAUKAAL
  53. [42 lectures • 3h 31m total length] Master English Language: Intensive Spoken English Course Master English Language: Intensive Spoken English Course https://www.udemy.com/course/intensiveenglishlanguagecourse/?couponCode=A7CE1156C29EF60330E5
  54. Basics Mobile Ethical Hacking Course https://www.udemy.com/course/basics-mobile-ethical-hacking-course/?couponCode=617-F-ER
  55. Python 3 for ABSOLUTE beginners! [April 2020 Edition] https://www.udemy.com/course/python-3-for-absolute-beginners-april-2020-edition/?couponCode=MUNA-99Q
  56. [22 lectures • 1h 51m total length] Be A Pro : Industrial Panel Design Complete Guide With CATIA https://www.udemy.com/course/be-a-pro-industrial-panel-design-complete-guide-with-catia/?couponCode=39E04915BB3EF6DF1377
  57. [40 lectures • 1h 12m total length] Personal Finance : Personal Budgeting for Beginners https://www.udemy.com/course/personal-budgeting-how-to-budget-and-save/?couponCode=BUDGET7
  58. [6 lectures • 3h 15m total length] Programa Gestor de carteras de inversión en R Studio https://www.udemy.com/course/programa-gestor-de-carteras-de-inversion-en-r-studio/?couponCode=PORT_AGO
  59. [12 lectures • 2h 36m total length] EIQ-2 Teamwork Makes the Dream Work https://www.udemy.com/course/teamwork-eq2/?couponCode=EQEXPAUG7TEAM
  60. [15 lectures • 1h 54m total length] Ultimate Beginner Guide to Streamlabs OBS (OBS) https://www.udemy.com/course/ultimate-beginner-guide-for-streamlabs-obs/?couponCode=D462EA10C7D15E9C9BDF
  61. Test Your English Vocabulary Level in 10 Minutes Flash Cards https://www.udemy.com/course/test-your-english-vocabulary-level-in-10-minutes-flash-cards/?couponCode=4FFC52D3E33348EC99D8
  62. [78 lectures • 4h 32m total length] The 10 Laws for Personal Success - The Complete Course https://www.udemy.com/course/the-10-laws-for-personal-success-the-complete-course/?couponCode=8DE4FA94D6AEE385D07D
  63. [552 lectures • 26h 41m total length] The Complete Focus Mastery Course - Brain Concentration https://www.udemy.com/course/the-complete-focus-mastery-course-brain-concentration/?couponCode=9D66150653E3FC52013D
  64. [526 lectures • 26h 2m total length] Complete Time Management Course Raise Personal Productivity https://www.udemy.com/course/complete-time-management-course-raise-personal-productivity/?couponCode=F70487FDAD0B05D89044
  65. [146 lectures • 7h 41m total length] The Complete Self-Discipline Course - Control Your Own Life https://www.udemy.com/course/the-complete-self-discipline-course-control-your-own-life/?couponCode=E0FA02C24B3FE45B2A0B
  66. [18 lectures • 40m total length] Teacher Training - How to Teach Online - Remote Teaching 1Hr https://www.udemy.com/course/teacher-training-how-to-teach-online-remote-teaching-1h?couponCode=247AE6FD91D3F0269BA8
  67. [63 lectures • 14h 10m total length] Sell Like Hell: Facebook Ads for E-Commerce Ultimate MASTERY https://freebiesglobal.com/sell-like-hell-facebook-ads-for-e-commerce-ultimate-mastery
  68. [15 lectures • 31m total length] Migrating IT Infrastructure from Windows 7 to Windows 10 https://www.udemy.com/course/migrating-it-infrastructure-from-windows-7-to-windows-10/?couponCode=AUGUST2020
  69. [49 lectures • 3h 12m total length] Practical Database Course for Beginners : 6 courses in 1 https://www.udemy.com/course/database-course/?couponCode=DATABASEAUG2020
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  71. [28 lectures • 4h 48m total length] Microsoft Excel - Learn MS EXCEL For DATA Analysis https://www.udemy.com/course/microsoft-excel-learn-ms-excel-for-data-analysis/?couponCode=856DBFA89107DB3AA91A
  72. Learn Basics Of Machine Learning With R https://www.udemy.com/course/learn-basics-of-machine-learning-with-?couponCode=ARSTU-ERQ
  73. [9 lectures • 31m total length] A Practical Beginners Guide To The Basics Of Live Sound https://www.udemy.com/course/livesoundbasics/?couponCode=7A92DB49DEA363181DF1
  74. [149 lectures • 6h 27m total length] Learn Microsoft Office 365 https://www.udemy.com/course/learn-microsoft-office-365/?couponCode=TRY10FREE91
  75. [383 lectures • 33h 56m total length] Front End Web Development For Beginners (A Practical Guide) https://www.udemy.com/course/learn-front-end-development/?couponCode=TRY10FREE91
  76. [64 lectures • 2h 11m total length] Learn Microsoft Teams https://www.udemy.com/course/learn-microsoft-teams/?couponCode=TRY10FREE91
  77. [21 lectures • 1h 37m total length] Learn Advanced jQuery https://www.udemy.com/course/the-learn-jquery-course/?couponCode=TRY10FREE91
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  79. FREE | Real Estate Lead Generation 2019 | FREE Course https://www.udemy.com/course/lead-generation-real-estate-2019-high-quality-realto
  80. [36 lectures • 1h 9m total length] Personal Finance : Get Out from Debt Easily https://www.udemy.com/course/using-habits-to-get-out-from-debts-effectively/?couponCode=DEBTFREE3
  81. [61 lectures • 2h 5m total length] Online Course Creation Training for Udemy - Unofficial https://www.udemy.com/course/creating-your-first-udemy-course-unofficial/?couponCode=CREATE2
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  83. How to Successfully Find Remote Work in 2020 https://www.udemy.com/course/find-remote-work/?couponCode=CONGRATULATIONS2020X
  84. [90 lectures • 4h 5m total length] Speed Reading: 100X Speed Reading and Memory- 5 Courses in 1 https://www.udemy.com/course/become-a-superfast-learner-speed-reading-and-boost-memory/?couponCode=61B9D2181DC33C571AD5
  85. [5 lectures • 41m total length] Learn 6 SIMPLE Steps to Make Money on TikTok App! https://www.udemy.com/course/make-money-on-tiktok/?couponCode=F88E20F1F1F06740FCCD
  86. [32 questions] CCA 175 Spark and Hadoop Developer - Dumps [ Updated 2020 ] https://www.udemy.com/course/cca-175-spark-and-hadoop-developer-practice-tests-a/?couponCode=3A37752ED8BA6DE18A3D
  87. Create Your Dream Life – A Step-by-Step Guide https://www.udemy.com/course/personal-transformation-create-your-dream-life/
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  91. [19 lectures • 48m total length] Learn Google Forms https://www.udemy.com/course/learn-google-forms/?couponCode=TRY10FREE91
  92. [48 lectures • 2h 29m total length] Learn Photo Editing with Photoshop 2020 https://www.udemy.com/course/learn-photo-editing-with-photoshop-2020/?couponCode=TRY10FREE91
  93. [395 lectures • 20h 2m total length] Adobe Photoshop CC 2020 – Become a Super User – 10 Projects! https://www.udemy.com/course/learn-basic-photoshop/?couponCode=TRY10FREE91
  94. [158 lectures • 10h 48m total length] Learn G Suite https://www.udemy.com/course/learn-g-suite/?couponCode=TRY10FREE91
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  96. [399 lectures • 82h 6m total length] (5 Star, 82 Hours) Ultimate PHP, Laravel, CSS & Sass! Learn PHP, Laravel & Sass $11.39" https://www.udemy.com/course/ultimate-php-css-and-sass-enhance-your-javascript-skills/?couponCode=51DF886B42649358BEE3
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  98. [186 lectures • 23h 59m total length] *NEW* AWS Cloud Technology Masterclass $9.99 https://www.udemy.com/course/aws-cloud-technology-masterclass/?couponCode=SEEKAWS
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Trading View (Request)

App Name: TradingView - stock charts, Forex & Bitcoin ticker
Description: Stock charts with real-time market quotes & trading ideas. Traders & Investors.
Simple for beginners and effective for technical analysis experts, TradingView has all of the instruments for publication and the viewing of trading ideas. Real-time quotes and charts are available for wherever you are at whatever time.
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The Henry Jackson Initiative by Lady Forester

While reasearching Epstein's known associates, an interesting individual stood out. Lynn Forester de Rothschild, Lady de Rothschild. No intention of this being a Rothschild Conspiracy. If your are uninterested to read the content below, scroll down to Comment to get my summary and take on this information. As always please Fact check this.
(HJI) is a bi-partisan, transatlantic movement of business leaders, senior policy makers and academics focused on promoting a more Inclusive Capitalism. The HJI calls for international collaboration from businesses and other organizations to encourage the widest possible adoption of programs that improve capitalism as a driver of wellbeing for society.
The HJI grew out of the Task Force project For Inclusive Capitalism, which sought solutions to the effects on society and business as a result of the global financial crisis of 2007 – 2008 and the dislocations caused by capitalism’s practice over the past 30 years. The Taskforce, which was co-chaired by Dominic Barton, Global Managing Director, McKinsey & Company, and Lady Lynn Forester de Rothschild, CEO, El Rothschild, published its inaugural paper Towards a More Inclusive Capitalism in May 2012. The report sets out three pathways for business action that lie at the heart of the HJI’s mandate:
  1. Education for employment: addressing the gap between employer needs and employee skills
  2. Nurture start-ups and SMEs: mentoring small businesses and improving access to credit for them
  3. Reform management and governance for the long term: replacing today’s focus on short term performance
The HJI exists to highlight and support businesses and other organizations working to promote the broadest possible adoption of best practices in these and other areas related to Inclusive Capitalism. The HJI believes there is an urgent and compelling demand for business to act to address the greatest systemic issues facing capitalism today. The HJI also believes that business is best positioned to lead innovations in areas that need them the most.

WHO WAS HENRY JACKSON?

Henry Martin "Scoop" Jackson (May 31, 1912 – September 1, 1983) was an American politician who served as a U.S. Representative (1941–1953) and U.S. Senator (1953–1983) from the state of Washington). A Cold War liberal and anti-Communist Democrat), Jackson supported higher military spending and a hard line against the Soviet Union, while also supporting social welfare programs, civil rights, and labor unions.
Jackson was awarded the Presidential Medal of Freedom posthumously in 1984; Ronald Reagan called him "one of the greatest lawmakers of our century," and stated:
Scoop Jackson was convinced that there's no place for partisanship in foreign and defense policy. He used to say, 'In matters of national security, the best politics is no politics.' His sense of bipartisanship was not only natural and complete; it was courageous. He wanted to be President, but I think he must have known that his outspoken ideas on the security of the Nation would deprive him of the chance to be his party's nominee in 1972 and '76. Still, he would not cut his convictions to fit the prevailing style. I'm deeply proud, as he would have been, to have Jackson Democrats serve in my administration. I'm proud that some of them have found a home here.

Criticism

Jackson was known as a hawkish Democrat. He was often criticized for his support for the Vietnam War and his close ties to the defense industries of his state. His proposal of Fort Lawton as a site for an anti-ballistic missile system was strongly opposed by local residents, and Jackson was forced to modify his position on the location of the site several times, but continued to support ABM development. American Indian rights activists who protested Jackson's plan to give Fort Lawton to Seattle, instead of returning it to local tribes, staged a sit-in. In the eventual compromise, most of Fort Lawton became Discovery Park), with 20 acres (8.1 ha) leased to United Indians of All Tribes, who opened the Daybreak Star Cultural Center there in 1977.
Opponents derided him as "the Senator from Boeing" and a "whore for Boeing" because of his consistent support for additional military spending on weapons systems and accusations of wrongful contributions from the company; in 1965, 80% of Boeing's contracts were military. Jackson and Magnuson's campaigning for an expensive government supersonic transport plane project eventually failed.
After his death, critics pointed to Jackson's support for Japanese American internment camps during World War II as a reason to protest the placement of his bust at the University of Washington.Jackson was both an enthusiastic defender of the evacuation and a staunch proponent of the campaign to keep the Japanese-Americans from returning to the Pacific Coast after the war.

Jackson Papers controversy

Senator Jackson's documents were donated to the University of Washington shortly after his death in 1983, and have been archived there ever since.When the materials were donated in 1983, university staff removed all information considered classified at the time.Additional materials were added to the collection until 1995.
At some point, library staff discovered a classified document in the collection and sent it to the government for declassification. In response, in the summer of 2004, a man who identified himself as an employee of the Central Intelligence Agency (CIA) called the University of Washington asking to inspect Senator Jackson's archived documents housed there. He found a document labelled as classified and showed this to a librarian.[48] In February 2005, 22 years after Jackson's death, a five-person team including staff of the CIA, Department of Defense, the Department of Energy, and the Information Security Oversight Office came to library to review all of Jackson's papers to remove anything still considered classified, or reclassified since then. The Department of Energy found nothing of concern, but the CIA blanked lines in about 20 papers and pulled 8 documents out of collection. As of 2018, some files in the collection are available only to those regarded by the library as "serious researchers", who must first sign a release not to divulge some of the information contained in the files.

The Henry Jackson Society

The society was founded on 11 March 2005 by academics and students at Cambridge, including Brendan Simms, Alan Mendoza, Gideon Mailer, James Rogers and Matthew Jamison. It organises meetings with speakers in the House of Commons. The society claims that it advocates an interventionist) foreign-policy that promotes human rights and reduces suffering, by both non-military and military methods, when appropriate.
In 2006, the society worked to raise the profile of the Ahwazi Arabs of Iran, who it claims are currently being oppressed by the Iranian government.
After originating within the University of Cambridge, the organisation is now based in London. In April 2011 the entire staff of another London think-tank, the Centre for Social Cohesion (which has since been dissolved), joined the Henry Jackson Society.
The organisation is a registered charity in England and Wales and earns financial backing from private donations and grant-making organisations which support its work. The income of the society increased significantly from 2009 to 2014, from £98,000 to £1.6 million per year.
In 2017 Hannah Stuart, one of the society's Research Fellows, released Islamist Terrorism: Analysis of Offences and Attacks in the UK (1998–2015), which profiled every individual convicted under terrorism legislation in the UK between those dates with an Islamist connection.

Structure and projects

The Society has produced a breadth of research reports and papers. These have mostly focused on Islamist extremist activity in the UK, crackdowns on human rights and democracy elsewhere, and various facets of foreign policy and defence.Its current workstreams include:
In September 2018, the Society announced the creation of a new Centre for Social and Political Risk. This Centre will "identify, diagnose and propose solutions to threats to governance in liberal Western democracies", focusing on social cohesion and integration; freedom of speech and political correctness; demographic change; and other issues.

Criticism

The think tank has been described by the media as having right-wing and neoconservative leanings, though it positions itself as non-partisan.In 2014, Nafeez Ahmed, an executive director of the Institute for Policy Research & Development, said that the Henry Jackson Society courts corporate, political power to advance a distinctly illiberal oil and gas agenda in the Middle East.
In 2009 the society became the secretariat of two all-party parliamentary groups (APPGs), for Transatlantic and International Security, chaired by Gisela Stuart, and for Homeland Security, chaired by Bernard Jenkin. A transparency requirement upon non-profit organisations acting as secretariat at that time was that they must reveal, on request, any corporate donors who gave £5,000 or more to the organisation over the past year or cease acting as a secretariat organisation. In 2014, following a query, the society refused to disclose this information and resigned its position as secretariat of the APPGs concerned in order to comply with the Rules. The Parliamentary Commissioner for Standards, Kathryn Hudson, upheld a complaint against these APPGs on the grounds data had not been provided, but noted the society had already resigned its position and that the consequence of this non-provision therefore "appears to have taken effect" as the Rules intended. The case was therefore closed with no further action taken and the APPGs themselves dissolved with the dissolution of Parliament in March 2015. The APPG Rules were subsequently changed in March 2015 so that only those non-profit organisations providing services to APPGs of more than £12,500 in value needed to declare their corporate donors.
In July 2014 the Henry Jackson Society was sued by Lady de Rothschild over funds of a "caring capitalism" summit. Lady de Rothschild claims that she has financed the summit and that HJS and its executive director Alan Mendoza are holding £137,000 of “surplus funds” from the conference that should be returned to the couple’s investment company EL Rothschild.
Think tank discussions on the Middle East and Islam have led some media organisations to criticise a perceived anti-Muslim agenda. Marko Attila Hoare, a former senior member, cited related reasons for leaving the think tank and Scottish Labour leader Jim Murphy was urged, in 2015, to sever his links with the society.
According to the report published in 2015, "a right-wing politics is apparent not only in the ideas that the Henry Jackson Society promotes, but also emerges distinctly on examination of its funders."
In 2017, the Henry Jackson Society was accused of running an anti-China propaganda campaign after the Japanese embassy gave them a monthly fee of 10,000 pounds.The campaign was said to be aimed at planting Japan's concerns about China in British newspapers.
Co-founder Matthew Jamison wrote in 2017 that he was ashamed of his involvement, having never imagined the Henry Jackson Society "would become a far-right, deeply anti-Muslim racist [...] propaganda outfit to smear other cultures, religions and ethnic groups." "The HJS for many years has relentlessly demonised Muslims and Islam."
In January 2019, Nikita Malik of the Henry Jackson Society provided The Daily Telegraph with information they claimed showed a Muslim scout leader was linked to Islamic extremists and Holocaust deniers.In January 2020 The Daily Telegraph issued a retraction and formal apology saying that:
"the articles said that Ahammed Hussain had links to extremist Muslim Groups that promoted terrorism and anti-Semitism, and could have suggested that he supported those views and encouraged their dissemination. We now accept that this was wrong and that Mr Hussain has never supported or promoted terrorism, or been anti-Semitic.We acted in good faith on information received but we now accept that the article is defamatory of Mr Hussain and false, and apologise for the distress caused to him in publishing it. We have agreed to pay him damages and costs."
The initial signatories of the statement of principles included:
International patrons included Richard Perle, William Kristol, former CIA Director R. James Woolsey Jr., and former Lithuanian leader Vytautas Landsbergis.

Comments

This has been a rabbit hole and only half the story regarding Lady Forester. Then only link between Lady Forester and Jeffrey Epstein is In 1995, financier Lynn Forester discussed "Jeffrey Epstein and currency stabilization" with Clinton. Epstein, according to his own accounts, was heavily involved in the foreign exchange market and traded large amounts of currency in the unregulated forex market. I will post another story Lady Forester and the coalition for Inclusive Capitalism.

References

https://en.wikipedia.org/wiki/Henry_Jackson_Society
https://henryjacksonsociety.org/who-was-henry-jackson/
https://en.wikipedia.org/wiki/Henry_M._Jackson
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Idea de Trading 30 May Forex Trading Ideas 13th November 2020 - YouTube Forex Trading Ideas - YouTube Top 5 Forex Trading Tips For Beginners - YouTube Forex Trading Ideas #15 - Trend Continuation Trade

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Idea de Trading 30 May

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