Trading Performance Statistics - BabyPips.com

ATO Australian tax treatment for options trades 🇦🇺

I am posting this as I hope it will help other Australian options traders trading in US options with their tax treatment for ATO (Australian Tax Office) purposes. The ATO provides very little guidance on tax treatment for options trading and I had to do a lot of digging to get to this point. I welcome any feedback on this post.

The Deloitte Report from 2011

My initial research led me to this comprehensive Deloitte report from 2011 which is hosted on the ASX website. I've been through this document about 20 times and although it's a great report to understand how different scenarios apply, it's still really hard to find out what's changed since 2011.
I am mainly relating myself to the scenario of being an individual and non-sole trader (no business set up) for my trading. I think this will apply to many others here too. According to that document, there isn't much guidance on what happens when you're an options premium seller and close positions before they expire.
Note that the ATO sometimes uses the term "ETO" (Exchange Traded Option) to discuss what we're talking about here with options trading.
Also note: The ATO discusses the separate Capital Gains Tax ("CGT") events that occur in each scenario in some of their documents. A CGT event will then determine what tax treatment gets applied if you don't know much about capital gains in Australia.

ATO Request for Advice

Since the Deloitte report didn't answer my questions, I eventually ended up contacting the ATO with a request for advice and tried to explain my scenario: I'm an Australian resident for tax purposes, I'm trading with tastyworks in $USD, I'm primarily a premium seller and I don't have it set up with any business/company/trust etc. In effect, I have a rough idea that I'm looking at capital gains tax but I wanted to fully understand how it worked.
Initially the ATO respondent didn't understand what I was talking about when I said that I was selling a position first and buying it to close. According to the laws, there is no example of this given anywhere because it is always assumed in ATO examples that you buy a position and sell it. Why? I have no idea.
I sent a follow up request with even more detail to the ATO. I think (hope) they understood what I meant now after explaining what an options premium seller is!

Currency Gains/Losses

First, I have to consider translating my $USD to Australian dollars. How do we treat that?
FX Translation
If the premium from selling the options contract is received in $USD, do I convert it to $AUD on that day it is received?
ATO response:
Subsection 960-50(6), Item 5 of the Income Tax Assessment Act 1997 (ITAA 1997) states the amount should be translated at the time of the transaction or event for the purposes of the Capital Gains Tax provisions. For the purpose of granting an option to an entity, the time of the event is when you grant the option (subsection 104-20(2) ITAA 1997).
This is a very detailed response which even refers to the level of which section in the law it is coming from. I now know that I need to translate my trades from $USD to $AUD according to the RBA's translation rates for every single trade.
But what about gains or losses on translation?
There is one major rule that overrides FX gains and losses after digging deeper. The ATO has a "$250k balance election". This will probably apply to a lot of people trading in balances below $250k a lot of the FX rules don't apply. It states:
However, the $250,000 balance election broadly enables you to disregard certain foreign currency gains and losses on certain foreign currency denominated bank accounts and credit card accounts (called qualifying forex accounts) with balances below a specified limit.
Therefore, I'm all good disregarding FX gains and losses! I just need to ensure I translate my trades on the day they occurred. It's a bit of extra admin to do unfortunately, but it is what it is.

Credit Trades

This is the scenario where we SELL a position first, collect premium, and close the position by making an opposite BUY order. Selling a naked PUT, for example.
What happens when you open the position? ATO Response:
The option is grantedCGT event D2 happens when a taxpayer grants an option. The time of the event is when the option is granted. The capital gain or loss arising is the difference between the capital proceeds and the expenditure incurred to grant the option.
This seems straight forward. We collect premium and record a capital gain.
What happens when you close the position? ATO Response:
Closing out an optionThe establishment of an ETO contract is referred to as opening a position (ASX Explanatory Booklet 'Understanding Options Trading'). A person who writes (sells) a call or put option may close out their position by taking (buying) an identical call or put option in the same series. This is referred to as the close-out of an option or the closing-out of an opening position.
CGT event C2 happens when a taxpayer's ownership of an intangible CGT asset ends. Paragraph 104-25(1)(a) of the ITAA 1997 provides that ownership of an intangible CGT asset ends by cancellation, surrender, or release or similar means.
CGT event C2 therefore happens to a taxpayer when their position under an ETO is closed out where the close-out results in the cancellation, release or discharge of the ETO.
Under subsection 104-25(3) of the ITAA 1997 you make a capital gain from CGT event C2 if the capital proceeds from the ending are more than the assets cost base. You make a capital loss if those capital proceeds are less than the assets reduced cost base.
Both CGT events (being D2 upon granting the option and C2 upon adopting the close out position) must be accounted for if applicable to a situation.
My take on this is that the BUY position that cancels out your SELL position will most often simply realise a capital loss (the entire portion of your BUY position). In effect, it 'cancels out' your original premium sold, but it's not recorded that way, it's recorded as two separate CGT events - your capital gain from CGT event D2 (SELL position), then, your capital loss from CGT event C2 (BUY position) is also recorded. In effect, they net each other out, but you don't record them as a 'netted out' number - you record them separately.
From what I understand, if you were trading as a sole tradecompany then you would record them as a netted out capital gain or loss, because the trades would be classified as trading stock but not in our case here as an individual person trading options. The example I've written below should hopefully make that clearer.
EXAMPLE:
Trade on 1 July 2020: Open position
Trade on 15 July 2020: Close position
We can see from this simple example that even though you made a gain on those trades, you still have to record the transactions separately, as first a gain, then as a loss. Note that it is not just a matter of netting off the value of the net profit collected and converting the profit to $AUD because the exchange rate will be different on the date of the opening trade and on the date of the closing trade we have to record them separately.

What if you don't close the position and the options are exercised? ATO Response:
The option is granted and then the option is exercisedUnder subsection 104-40(5) of the Income Tax Assessment Act 1997 (ITAA 1997) the capital gain or loss from the CGT event D2 is disregarded if the option is exercised. Subsection 134-1(1), item 1, of the ITAA 1997 refers to the consequences for the grantor of the exercise of the option.
Where the option binds the grantor to dispose of a CGT asset section 116-65 of the ITAA 1997 applies to the transaction.
Subsection 116-65(2) of the ITAA 1997 provides that the capital proceeds from the grant or disposal of the shares (CGT asset) include any payment received for granting the option. The disposal of the shares is a CGT event A1 which occurs under subsection 104-10(3) of the ITAA 1997 when the contract for disposal is entered into.
You would still make a capital gain at the happening of the CGT event D2 in the year the event occurs (the time the option is granted). That capital gain is disregarded when the option is exercised. Where the option is exercised in the subsequent tax year, the CGT event D2 gain is disregarded at that point. An amendment may be necessary to remove the gain previously included in taxable income for the year in which the CGT event D2 occurred.
This scenario is pretty unlikely - for me personally I never hold positions to expiration, but it is nice to know what happens with the tax treatment if it ultimately does come to that.

Debit Trades

What about the scenario when you want to BUY some options first, then SELL that position and close it later? Buying a CALL, for example. This case is what the ATO originally thought my request was about before I clarified with them. They stated:
When you buy an ETO, you acquire an asset (the ETO) for the amount paid for it (that is, the premium) plus any additional costs such as brokerage fees and the Australian Clearing House (ACH) fee. These costs together form the cost base of the ETO (section 109-5 of the ITAA 1997). On the close out of the position, you make a capital gain or loss equal to the difference between the cost base of the ETO and the amount received on its expiry or termination (subsection 104-25(3) of the ITAA 1997). The capital gain or loss is calculated on each parcel of options.
So it seems it is far easier to record debit trades for tax purposes. It is easier for the tax office to see that you open a position by buying it, and close it by selling it. And in that case you net off the total after selling it. This is very similar to a trading shares and the CGT treatment is in effect very similar (the main difference is that it is not coming under CGT event A1 because there is no asset to dispose of, like in a shares or property trade).

Other ATO Info (FYI)

The ATO also referred me to the following documents. They relate to some 'decisions' that they made from super funds but the same principles apply to individuals they said.
The ATO’s Interpretative Decision in relation to the tax treatment of premiums payable and receivable for exchange traded options can be found on the links below. Please note that the interpretative decisions below are in relation to self-managed superannuation funds but the same principles would apply in your situation [as an individual taxpayer, not as a super fund].
Premiums Receivable: ATO ID 2009/110

Some tips

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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.
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Statistical Edge Trading

Statistical Edge Trading

Statistical Edge Trading

Have you ever traded with statistical edge? Our Allen trade talks about backing up the trading network and leveraging it from excellent newspapering. This is a stage that is undermined by many traders but fairly, it can be a crucial factor in boosting your trust and believing in your system. For those interested in this sort of research, you can check out the FTMO Statistical Application.
Trading with a Statistical edge
Although many traders back-test and record their trades to verify the trading system 's feasibility, monitoring and using the data to maximize both your stop loss and profit goal is a tremendous advantage. Two of the most critical pieces of data that I record when reporting trades is the drawdown and the benefit potential.

The drawdown, to be sure, is how far a trade goes against my place before it goes in my favour.

Whereas the benefit potential is the maximum distance from my entry which the trade moves in my favor. It isn't important and it's uncommon, in general, that I actually exit the trade. Yet definitely coming out at or as close as can be.
Firstly, I record my trades in two ways, using screenshots of the charts themselves where I annotate my entry, date, type of trade and all other relevant details related to my methodology, such as strength and weakness analysis , multiple time frame analysis and correlation. I also note on the map the drawdown and benefit potential of the trade.

Then I go through my Excel spreadsheet with main details. See "excel" below.

Excel spreadsheet with main details.

This includes the date, day, session, pair, time, route, entry price, closing price, type of setup, type of entry, type of exit, drawdown, potential for benefit and outcome. I then let excel do all the heavy lifting for myself as I can sort my trades numerous ways, by day, by session, by pair, by route, by type of set-up etc.

But where the really cool stuff is under the "Mind-blowing stats" tab where I have some of the above filterable statistics that will help me to optimize both my stop loss and my benefit goal.

Here is a summary of the specification.

When you use a risk percentage account to calculate your position size (as you should), so the lower the pause, the larger a position size you will trade in. The stop must, therefore, have a high likelihood of remaining. The vast majority of trading books, guides, videos, etc., advise that after a recent high / low swing, the stop will be many pips.

But my trade documents helped me to come up with a statistical advantage for my stoppage placement.

As can be seen in the "Drawdown" tag, Trading my Type 1 BO (breakout out) on GBPAUD, 79.55 percent of the time my drawdown was less than 25 pips, although it was just 81.82 percent at 30 pips and 84.09 percent at 35 pips.

Statistical Edge Trading
So when using a larger pause, an extra loss or 2, the advantage of having a greater size of the place and thereby netting more money makes the extra loss(s) inconsequential.

Furthermore, the income goal can also be optimized.

Looking at the "Profit Potential" connection and remaining on GBPAUD again for my Type 1 BO trades, we can easily see that almost 80 percent of the time, those trades get between 20 and 30 pips.

Statistical Edge Trading (b)
It is a perfect place to take off 1/2 of the spot and push the stop to flat. So we can let the rest of the half run to about 50 pips where 59.09 percent of the trades touch.

Obviously market conditions aren't always the same, so if you can recognise when they are, i.e. linked moves or strengthening or weakening other classes (commodity pairs or safe haven pairs), then you can make educated decisions about how far a trade will go.

Statistical Edge Trading (meme)

I hope this information 's helpful to you.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
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Overview of Algorithmic Trading Strategies

Strategies are a natural way to get the maximum benefit out of algorithmic Trading. Based on the duration of holding the investment, Algo Trading Strategies are classified as Long term and short-term strategies. Automated TradingTrading has been enhanced with specific rule-based decision making.
Long Term Strategies
  1. Pricing Strategies are more focused on the expected returns
  2. Mathematical model-based Strategies are developed purely based on mathematical calculations, models.
  3. Trend Based Strategies follow market trends. By using the statistics, patterns are studied, and further strategies are developed.
  4. Arbitrage strategies use algorithms to figure out price differences and trade according to opportunities for profit.
  5. VWAP (Volume Weighted Average Price) & strategies, break the large volume of stock into smaller and later issues them according to market conditions to earn more yield.
  6. Implementation shortfall strategy uses algorithms to target involvement in dealing when stock prices are high and vice versa.
Short-Term Strategies
Short term strategies are generally executed in Intraday Trading strategies, where assets are bought and sold on the same day. Here stocks are not purchased for investment purpose but to earn the profit by connecting with the stock market trend. Algo trading strategies are incorporated in Intraday Trading to reap more benefits. Following are the Intraday trading strategies using algorithmic TradingTrading:
  1. Reversal trading strategies use algorithms to find out the highest and lowest points of the day. Based on these points as the secure time, price and quantity start reversing; it gives alerts to either buy or sell the assets.
  2. Trend based strategies analyse the trends using Algorithms, and further strategy is developed.
  3. Bull flag trading strategy based on the highest peak and steady decrease in trend during the day. To get the target prices on the patterns of bull flag shape, algorithms are used. Based on these trends, ' strategies are developed.
  4. Pullback Trading Strategy develops the low-risk buying opportunity.
  5. Breakout trading strategy enables us to enter the market when prices change outside a specific range.
3 Efficient Intraday Trading Strategies Used in Algorithmic Trading
Algo trading is an automated practical approach to TradingTrading. Strategies make the trading process very fast and much more result-oriented. The trades can be executed to the point of specified price and volume in minimal time. It reduces the losses due to the time lag between the sale and purchase of securities.
When the algo trading is used with specific intraday trading strategies, it works amazingly well.
Here are a few back-tested strategies used by successful traders as a part of Algo trading. These strategies can undoubtedly lead to maximize profits with the correct execution.
1. Momentum and Trend Based Strategy:
It is the most commonly used and most straightforward strategy. There are no complex interpretations or predictions to be made. It is the momentum and trend-based strategy. You need to follow the trends, and the energy in the market and the trades will be executed accordingly. Trade will be based on technical indicators - the moving averages, the price level movements, channel breakouts, etc. If a set of conditions is fulfilled, then automated trading is generated.
2. Arbitrage Strategy:
When there is a difference in the cost of the securities on different stock exchanges, Arbitrage profits take place. The algorithm identifies the price difference immediately using the computers and executes a trade to enable buying on the low-priced exchange and sell on the high-priced exchange. Although the cost difference is not too much, here, we can compare the speed and accuracy of Algo trading and manual TradingTrading.
This strategy is mostly applicable to forex trading. Once the trade gets executed, arbitrage profits will be credited to the trader.
3. Weighted Average Price Strategy:
This is also one of the most popular and efficient strategies. The objective of this strategy is to quick-execute the order to the volume-weighted average price or the time-weighted average price. The orders are executed in small parts. The order is based at either volume-weighted average price or the time-weighted average price in specific opening price in defined time slots.
The algorithms are successful in releasing the orders in small parts with efficiency and accuracy in nanoseconds, which may not be possible by human traders.
To know more strategies, refer to our Algorithmic Trading Strategies - Part 1.
submitted by alphabot2020 to u/alphabot2020 [link] [comments]

Features of creating a trading strategy for successful Forex trading

Features of creating a trading strategy for successful Forex trading

https://preview.redd.it/r5svxndvm6d41.png?width=600&format=png&auto=webp&s=7e1325a6ea9c38f675ed10243950119ebd839a84
Optimization is one of the main adjustments - you should choose the parameters that will be most suitable. It is also very important that the trading strategy be qualitatively automated, if you do not have programming skills, then you should seek the help of professional developers of trading advisers. For example, you can make a request here - https://nordman-algorithms.com/metatrader-programming/
Only in this way can you tailor your strategy to existing market realities. The development of the trading system is the basic need of any trader who wants to earn money. After all, regular changes in the market force to make adjustments - otherwise, even the most successful strategy ceases to function correctly. The main mistake of traders who consider themselves invincible is that they create a truly successful system that regularly makes a profit, but does not monitor how the market changes. The absence of small adjustments will not allow them to count on stable profits in the future, because the market will change rapidly, unlike the strategy.
A profitable trading strategy is the cornerstone of the success of any trader. If a beginner has already figured out the nuances of forex trading, he understood what technical and fundamental analysis is, but now he needs a profitable trading strategy that will allow him to count on further success. The main problem is that there are a huge number of trading strategies on the Internet, in most cases they allow you to earn money, but there are also those that lead to a loss of funds. Therefore, a trading strategy is an individual matter of each trader. In practice, it immediately becomes clear that intuitive trading is a one-time opportunity to make money; in the future such trade will not bring anything good.
A profitable trading strategy is required, which will be based on various data and allows counting on long-term success. To create a trading strategy, you need to use statistics, as well as adaptability. Now we will try to figure out how to correctly create a trading strategy.
The nuances of developing a trading strategy
We begin to create a trading strategy - initially it is necessary to determine the timeframes, as well as the frequency of transactions, indicators should be optimal for the trader, if they allow him to work psychologically comfortably, then this is ideal. Answering these questions, you can effectively choose trading instruments. Why are these nuances important when creating a trading strategy? Novice traders try to do everything in order to make money now, refusing the long-term perspective - this method is effective, but you will have to spend a lot of time and constantly be near the workplace so as not to miss profitable deals.
But these are not the main problems, the market is constantly changing, it forces you to adjust your trading strategy based on the data received. In cases where traders simply buy systems, do not try to change them, and only occasionally make transactions, the strategy will soon prove to be ineffective.
Questions of the main hypothesis of the trading system are really important. A hypothesis is always the basis of a trading system. But making money on the hypothesis itself is incredibly difficult, it is necessary to cover it with a technical shell, the trader must have his own rules, techniques that allow you to make profitable transactions.
Statistical indicators of trading systems
It is very important to understand that even the most thoughtful trading systems cannot work only for earnings, not all signals will be profitable. That is why it is necessary to understand the statistics of your system. There are special testers that allow you to check the statistics of the trading system. Despite the presence of automatic tools, it is strongly recommended that you additionally analyze yourself to deal with all the nuances. Such testing allows you to determine the final return, see the nuances of the functioning of the system.
Now we will deal with additional indicators that can be determined by testing.
You will be able to determine how many transactions were completed during the specified period, from the received number you need to calculate the number of profitable / non-profitable transactions. Even in the most profitable strategies, there are a huge number of non-profitable transactions, but this is not an indicator that the system is not functioning. Traders need to earn money not by forecasting accuracy, but by the ability to maintain a profitable position and timely close a loss-making one.
We analyze the total percentage of loss-making as well as profitable trades. After that, we determine the average stop loss, as well as take profit. If your strategy has a profit in the region of 50% (such is its probability), but the average indicators of profitable transactions exceed unprofitable ones, then such a strategy can really be considered profitable.
Nuances of adaptation of the trading system
We have already figured out how to correctly create our own trading system, monitor its statistical indicators. The time has come to adapt the trading system, we already mentioned this, market changes should be monitored, otherwise the strategy will become inoperative over time.
Imagine that we conducted an analysis, and the data obtained are really positive, but this can not continue all the time. The data is constantly changing, this forces traders to regularly adapt their trading system, taking into account all the changes received. The evolution of markets is the main reason for the changes; they may be insignificant, but they definitely cannot be ignored. Among these changes are the correction of the exchange infrastructure, as well as the appearance of new indices, the emergence of new correlations. Despite the fact that such changes initially seem insignificant - they gradually affect the effectiveness of the trading strategy, if not adapted in a timely manner.
Forex trading is a segment that is constantly evolving. Given the popularity of this method of earning - the number of newcomers is growing regularly. But these novice traders do not always understand what exactly needs to be done in order to earn money normally. They are trying to buy various tools, systems that guarantee fabulous income. In general, often this leads to a complete loss of the deposit.
It is very important to initially focus on creating a trading strategy that will be considered truly high-quality and successful. But after such a system is created and tested in the auction, you need to carefully monitor the market and its changes. Constant adaptation of the system is the key to becoming a truly smart and good trader. Yes, you will have to spend time analyzing the market and correcting it, but it will pay off. You can constantly make your trading strategy more thoughtful and high-quality, which will certainly affect the number of profitable transactions.
submitted by alex_fortran to u/alex_fortran [link] [comments]

Why is Expert Advisors tested?

Why is Expert Advisors tested?

https://preview.redd.it/r7y92ugo5bc41.png?width=600&format=png&auto=webp&s=14c8d7adb31d9d7936b826e6a01ba42e5c7f079e
To make trading on the Forex market not only profitable, but also comfortable, many traders use automatic trading systems, or, as they are also called, Forex robots or EA (Expert Advisor).
What are EA for? The answer is very simple. If you want to not miss a single opportunity to open or close a profitable transaction, then you need to watch the market around the clock, which no one is able to do.
In addition, the trader does not always manage to cope with his emotions, and he makes trading decisions based not on calculation and logic, but on his own feelings - for example, a feeling of excitement or, conversely, excitement. Often such transactions are unprofitable. An Expert Advisor does not have emotions, which means that the human factor can be immediately excluded from trading, which greatly increases the effectiveness of trading.
There are many things to consider when choosing the most profitable and result-oriented EA. For example, it is strongly recommended, before choosing an expert advisor, to pay attention to profit / loss, risk / profit, stop-limits and other relevant statistics by conducting a test inside the platform on historical data. Even if you choose an expert advisor with an excellent reputation, there is always a risk of loss, nevertheless. Thus, it is also important to find out the degree of risk that you are willing to take.
Before using EAs in real trading, you need to test expert advisor - for example, on a demo account or on archive quotes.
Please note that the quality of the history of quotes for different forex brokers is different, which can cause serious discrepancies in the results of testing one expert advisor on accounts from different brokers.
This is necessary in order to understand how effective one or another automatic program is and not to risk one’s own means. After all, if it turns out that on a demo account the EA proved to be not the best and did not bring you the expected profit, then you should not use this expert advisor in real trading (or you need to better configure its work). But if you see that the expert advisor is showing good trading results, then it should be noted.
Testing an expert advisor before use is a prerequisite for profitable trading.
submitted by alex_fortran to u/alex_fortran [link] [comments]

Genesis Vision - Development Progress Mega TL;DR

Genesis Vision - TL;DR
As usual I post this every few months or so after a significant update, to inform both old & new investors
Best places to stay up to date:
Upcoming developments:
Not developments as such, but we can also expect:
2019 Progress:
  • Fund reallocation history added
  • Manager financial statistics page added
  • Additional period history tab added
  • Ability to change brokers
  • Most of the terms on the platform will now display definitions when you hover your mouse cursor over them.
  • In the “Trades” tab on a page of a program, you can now export trading data for the selected period to Excel
  • You can now filter GV Funds by assets
  • When an investor creates a withdrawal request from an investment program, it automatically cancels the previous one.
  • Investors can now select an option to “Withdraw all”
  • Managers now have a separate “Program settings” section
  • The design of the “Program” page was updated and given a facelift. The new version now shows the program’s broker of choice, leverage, duration of the reporting period and more.
  • Addition of program ages to dashboard
  • Managers can now attach social network profiles to their accounts
  • Level/investment calculator
  • Complete revamp of the leveling system
  • First token burn - 1872 GVT / $5821.5 burnt
  • Copytrading & Signals released
  • Integration with Exante - Now full access to over 10,000 additional assets
  • Full integration with Huobi where traders can manage funds through the native Huobi UI
  • Adding new token listings on Huobi & Binance as soon as possible to GV Funds & Programs
  • Risk tags (high/medium/low) added to manager profiles
  • Added ability to hide closed programs in personal dashboard
  • Added open positions into the balance. So you can watch the performance of a program through both its closed and open positions
  • Added visibility to closed programs. So you can now see every program that was opened and managed by a manager
  • Additional tokens already added to GV Funds
  • QUARTERLY GV TOKEN BURN - Starting June 30th 2019
  • Roboforex Integration
  • Ability to short on the platform (via RoboForex)
  • Chain Plus conference in Seoul Korea
  • Genesis Markets & all of its materials translated into Chinese
  • Huobi/Genesis Markets bridge complete
  • Copytrading features
  • Signals w/subscriptions
  • Multicurrency wallet
  • Stop Outs
  • Platform Tags
  • Platform model change (less selling pressure on the GVT token)
  • Additional discounts both for copy trading and investment programs for HODLing GVT
2018 Progress:
  • Metatrader integration
  • Genesis Vision Alpha Version
  • IPFS Integration
  • Numerous trading competitions
  • Launch of Genesis Markets
  • Launch of the iOS & Android Genesis Vision apps
  • Live Platform Launch ~ 30th October
  • Completely overhauled UI/UX for iOS, Android, Investors & Manager portals
  • Fresh website for GV & GM
  • Finance Magnates London Summit
  • Sofia Investor Finance Forum
  • Huobi prestige Investors Fireside Dialogue (speakers)
  • Launch of Genesis Vision Funds
  • Removal of entry fees for level 1 & 2 managers
  • New leveling system -> https://blog.genesis.vision/do-your-level-best-7dc47d16b44e
  • Forex trading went live -> https://blog.genesis.vision/its-forex-time-89a72c7f5fac
In the works for the future (some speculation)
  • Chinese promotion - The platform and all of the reading materials will be translated into Chinese
  • Exploring the possibility of using Binance Chain
  • Genesis Vision DEX
  • Genesis Vision Network -> https://blog.genesis.vision/genesis-vision-network-10bf3e749688
  • Fiat Gateway
  • Bank & Stocks Integration
  • Further platform development for GV & Genesis Markets
  • Further development of all versions of the platform, ie iOS & Android
  • I personally believe we will see GVT listed on some exchanges in 2019
Current Partnerships/Integrations:
Platform statistics
  • Follow @GVTProgressBot on Twitter for updates every 24 hours
The team posted their results for Q1 2019 profits in this article:
Some more info on revenue:
Firstly, I am not part of the team, so any replies are just from research I have done into the project and available information:
1.) The team confirmed that there are 40 people working for Genesis Vision 25 are working in the office and 15 remotely. Jump in the TG if you would like to know more info or even talk to some of the other team members direct. Dmitry Nazarov = CEO, Ruslan Kamensky = Head of Development. (You can do your background research on these guys, they've got skills).
2.) Can't comment accurately on funds, because well, that's the teams business. Ofc a responsible investor should try and find out as much info as they can however.
  • The ICO raised -> $2,836,724 when ETH was around $250-$300 pre-bull run (you do the math).
  • The team/development tokens also amounted to 709,862 GVT/16% of the supply, these funds would/will have been used for development, these were locked for 1 year and released approx October 2018
3.) Sustainability is a big one. This is why I continue to follow GVT daily because I believe the Genesis Vision model is sustainable. See my previous post:
https://www.reddit.com/genesisvision/comments/9p80igenesis_vision_will_soon_become_a_self_sufficient/
TLDR - Here's how they will create revenue from the GV platform (taken from the whitepaper):
  • The project will receive profit from commissions on investment operations. Each investment will be charged 0.5%³ of the operation amount.
  • The project will also generate profit from managing its own fund and by investing it in successful managers of our platform.
  • Genesis Markets will create revenue from trading fees
Another thing to think about - The team have been extremely responsible with their funds. Zero funds have gone to waste and have been used in the most efficient way possible. One example (although a touchy subject) is marketing. The bottom line is marketing will ramp up when the project/platform has had more development (finishing integrating the brokers + additional features). The team have known that the correct time to market the platform is coming, just not yet... Obviously if they had 100's of millions from the ICO marketing would have been ongoing from Day 1. This is one example of being responsible with your investors/ICO funds.
If you would like some more information about the funds, the ICO etc. See these two links:
Bullish on GVT. You want reasons why im bullish? Re-read this post
submitted by elcryptonerd to genesisvision [link] [comments]

Genesis Vision - Development Progress TL;DR

Genesis Vision - TL;DR
As usual I post this every few months or so after a significant update, to inform both old & new investors
Best places to stay up to date:
Upcoming developments:
Not developments as such, but we can also expect:
2019 Progress:
  • Most of the terms on the platform will now display definitions when you hover your mouse cursor over them.
  • In the “Trades” tab on a page of a program, you can now export trading data for the selected period to Excel
  • You can now filter GV Funds by assets
  • When an investor creates a withdrawal request from an investment program, it automatically cancels the previous one.
  • Investors can now select an option to “Withdraw all”
  • Managers now have a separate “Program settings” section
  • The design of the “Program” page was updated and given a facelift. The new version now shows the program’s broker of choice, leverage, duration of the reporting period and more.
  • Addition of program ages to dashboard
  • Managers can now attach social network profiles to their accounts
  • Level/investment calculator
  • Complete revamp of the leveling system
  • First token burn - 1872 GVT / $5821.5 burnt
  • Copytrading & Signals released
  • Integration with Exante - Now full access to over 10,000 additional assets
  • Full integration with Huobi where traders can manage funds through the native Huobi UI
  • Adding new token listings on Huobi & Binance as soon as possible to GV Funds & Programs
  • Risk tags (high/medium/low) added to manager profiles
  • Added ability to hide closed programs in personal dashboard
  • Added open positions into the balance. So you can watch the performance of a program through both its closed and open positions
  • Added visibility to closed programs. So you can now see every program that was opened and managed by a manager
  • Additional tokens already added to GV Funds
  • QUARTERLY GV TOKEN BURN - Starting June 30th 2019
  • Roboforex Integration
  • Ability to short on the platform (via RoboForex)
  • Chain Plus conference in Seoul Korea
  • Genesis Markets & all of its materials translated into Chinese
  • Huobi/Genesis Markets bridge complete
  • Copytrading features
  • Signals w/subscriptions
  • Multicurrency wallet
  • Stop Outs
  • Platform Tags
  • Platform model change (less selling pressure on the GVT token)
  • Additional discounts both for copy trading and investment programs for HODLing GVT
2018 Progress:
  • Metatrader integration
  • Genesis Vision Alpha Version
  • IPFS Integration
  • Numerous trading competitions
  • Launch of Genesis Markets
  • Launch of the iOS & Android Genesis Vision apps
  • Live Platform Launch ~ 30th October
  • Completely overhauled UI/UX for iOS, Android, Investors & Manager portals
  • Fresh website for GV & GM
  • Finance Magnates London Summit
  • Sofia Investor Finance Forum
  • Huobi prestige Investors Fireside Dialogue (speakers)
  • Launch of Genesis Vision Funds
  • Removal of entry fees for level 1 & 2 managers
  • New leveling system -> https://blog.genesis.vision/do-your-level-best-7dc47d16b44e
  • Forex trading went live -> https://blog.genesis.vision/its-forex-time-89a72c7f5fac
In the works for the future (some speculation)
  • Chinese promotion - The platform and all of the reading materials will be translated into Chinese
  • Exploring the possibility of using Binance Chain
  • Genesis Vision DEX
  • Genesis Vision Network -> https://blog.genesis.vision/genesis-vision-network-10bf3e749688
  • Fiat Gateway
  • Bank & Stocks Integration
  • Further platform development for GV & Genesis Markets
  • Further development of all versions of the platform, ie iOS & Android
  • I personally believe we will see GVT listed on some exchanges in 2019
Current Partnerships/Integrations:
Platform statistics
  • Follow @GVTProgressBot on Twitter for updates every 24 hours
The team posted their results for Q1 2019 profits in this article:
Some more info on revenue:
Firstly, I am not part of the team, so any replies are just from research I have done into the project and available information:
1.) The team confirmed that there are 40 people working for Genesis Vision 25 are working in the office and 15 remotely. Jump in the TG if you would like to know more info or even talk to some of the other team members direct. Dmitry Nazarov = CEO, Ruslan Kamensky = Head of Development. (You can do your background research on these guys, they've got skills).
2.) Can't comment accurately on funds, because well, that's the teams business. Ofc a responsible investor should try and find out as much info as they can however.
  • The ICO raised -> $2,836,724 when ETH was around $250-$300 pre-bull run (you do the math).
  • The team/development tokens also amounted to 709,862 GVT/16% of the supply, these funds would/will have been used for development, and remember GVT's ATH was $51 - So if they sold anywhere near this top then there's some hefty funds right there, albeit some are actual team tokens.
3.) Sustainability is a big one. This is why I continue to follow GVT daily because I believe the Genesis Vision model is sustainable. See my previous post:
https://www.reddit.com/genesisvision/comments/9p80igenesis_vision_will_soon_become_a_self_sufficient/
TLDR - Here's how they will create revenue from the GV platform (taken from the whitepaper):
  • The project will receive profit from commissions on investment operations. Each investment will be charged 0.5%³ of the operation amount.
  • The project will also generate profit from managing its own fund and by investing it in successful managers of our platform.
  • Genesis Markets will create revenue from trading fees
Another thing to think about - The team have been extremely responsible with their funds. Zero funds have gone to waste and have been used in the most efficient way possible. One example (although a touchy subject) is marketing. The bottom line is marketing will ramp up when the project/platform has had more development (finishing integrating the brokers + additional features). The team have known that the correct time to market the platform is coming, just not yet... Obviously if they had 100's of millions from the ICO marketing would have been ongoing from Day 1. This is one example of being responsible with your investors/ICO funds.
If you would like some more information about the funds, the ICO etc. See these two links:
Bullish on GVT. You want reasons why im bullish? Re-read this post
submitted by elcryptonerd to genesisvision [link] [comments]

How To Trade Forex

How To Trade Forex

How To Trade Forex
Learn The Basics |Advanced Topics | Chart Patterns | Choose The Best Broker
Beware of scam companies! Trade only with a good licensed broker that holds an FCA or ASIC license like these.

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How does Forex Work?

Forex trading is the simultaneous buying of one currency and selling of another…
Read more

Basic Terminology

Before trading currencies, an investor has to understand the basic terminology of the forex market…
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Fundamental Analysis

Fundamental analysis is the study of the overall economic, financial, political…
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Technical Analysis

Technical analysis is the study of prices over time, with charts being the primary tool…
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Trend Lines

The term ‘trend’ describes the current direction of the financial instrument…
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What is a Technical Indicator

Technical Indicators are a result of mathematical calculations/algorithms…
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Gold Trading

As an investment, gold is the most popular of the precious metals…
Read more

Order Types

A market order is an order to open a buy or sell position at…
Read more

We complete our education centre with a breakdown of Gold Trading and details of the different Order Types.
You can also review our glossary to find brief definitions of various trading and financial terms you may encounter.
Once you have familiarised yourself with the information and concepts, you can open a Demo Trading Account to practice what you have learnt and build on your knowledge and understanding of how to trade successfully. Treat your demo account as you would your real account.
Aprender a operar con Forex | Lernen Sie Forex zu handeln

  1. What is Forex? Think the stock market is huge? Think again. Learn about the LARGEST financial market in the world and how to trade in it.
    1. What Is Forex?Learn about this massively huge financial market where fiat currencies are traded.
    2. What Is Traded In Forex?Currencies are the name of the game. Yes, you can buy and sell currencies against each other as a short-term trade, long-term investment, or something in-between.
    3. Buying And Selling Currency PairsThe first thing that you need to know about forex trading is that currencies are traded in pairs; you can’t buy or sell a currency without another.
    4. Forex Market Size And LiquidityThe Forex market is yuuuuuuuggggeeee! And that comes with a lot of benefits for currency traders!
    5. The Different Ways To Trade ForexSome of the more popular ways that traders participate in the forex market is through the spot market, futures, options, and exchange-traded funds.
  2. Why Trade Forex? Want to know some reasons why traders love the forex market? Read on to find out what makes it so attractive!
    1. Why Trade Forex: Advantages Of Forex TradingLow transaction costs and high liquidity are just a couple of the advantages of the forex market.
    2. Why Trade Forex: Forex vs. StocksNobody likes bullies! Good thing for us, unlike the stock market, there is no one financial institute large enough to corner the forex market!
    3. Why Trade Forex: Forex vs. FuturesThe futures market trades a puny $30 billion per day. Thirty billion? Peanuts compared to the FIVE TRILLION that is traded daily in the forex market!
  3. Who Trades Forex? From money exchangers, to banks, to hedge fund managers, to local Joes like your Uncle Pete – everybody participates in the forex market!
    1. Forex Market StructureBecause there is no centralized market, tight competition between banks normally leads to having the best prices! Boo yeah!
    2. Forex Market PlayersThe forex market is basically comprised of four different groups.
    3. Know Your Forex History!If it wasn’t for the Bretton Woods System (and the great Al Gore), there would be no retail forex trading! Time to brush up on your history!
  4. When Can You Trade Forex? Now that you know who participates in the forex market, it’s time to learn when you can trade!
    1. Forex Trading SessionsJust because the forex market is open 24 hours a day doesn’t mean it’s always active! See how the forex market is broken up into four major trading sessions and which ones provides the most opportunities.
    2. When Can You Trade Forex: Tokyo SessionGodzilla, Nintendo, and sushi! What’s not to like about Tokyo?!? The Tokyo session is sometimes referred to as the Asian session, which is also the session where we start fresh every day!
    3. When Can You Trade Forex: London SessionNot only is London the home of Big Ben, David Beckham, and the Queen, but it’s also considered the forex capital of the world–raking in about 30% of all forex transactions every day!
    4. When Can You Trade Forex: New York SessionNew York baby! The concrete jungle where forex dreams are made of! Just like Asia and Europe, the U.S. is considered one of the top financial centers in the world, so it definitely sees its fair share of action–and then some!
    5. Best Times of Day to Trade ForexTrading is all about volatility and liquidity. Which times of day provide the most dynamic market action and volumes?
    6. Best Days of the Week to Trade ForexEach trader should know when to trade and when NOT to trade. Read on to find out the best and worst times to trade.
  5. How Do You Trade Forex? Now, it’s time to learn HOW to rake in the moolah!
    1. How to Make Money Trading ForexJust like any other market: buy low and sell high…and vice versa. Simple, right!?
    2. Know When to Buy or Sell a Currency PairLet’s start with the very basics. First, what drives the value of a currency?
    3. What is a Pip in Forex?You’ve probably heard of the terms “pips,” “pipettes,” and “lots” thrown around, and here we’re going to explain what they are and show you how their values are calculated.
    4. What is a Lot in Forex?How many units of currency can we trade? What size positions can we trade and what are they called?
    5. Impress Your Date with Forex LingoWanna impress your crush? Here are some forex terms to help you wow that special someone!
    6. Types of Forex Orders“Would you like pips with that?” Okay, not that type of order, but buying and selling currencies can be just as simple with a little practice.
    7. Demo Trade Your Way to SuccessCurrency market behavior is constantly evolving. Trade on demo first to get a lot of the rookie mistakes out of the way before risking live capital. There are no take-backs in the real market.
    8. Forex Trading is NOT a Get-Rich-Quick SchemeWhile possible if you’re a trading genius with ice in your veins and you’re luckier than a lottery winner, building wealth through trading takes time and practice to build the skills and experience needed to be successful.
📷
Via XNTRADES.com
Topics Which Every Trader Must Master.
Or at least know your Chart Patterns
Support and Resistance v.1
Support and Resistance v.2
Elliot Waves Theory
Elliott Waves 101
Harmonic Patterns
Chart Patterns
How to Trade Market Structure
More educational materials from TRESORFX.com and XNTRADES.com

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Best Forex Broker in Malaysia | Broker Forex Terbaik di Malaysia
Best Forex Broker in Hong Kong
Best Forex Broker in China 中國最好的外匯經紀商
Best Forex Broker in Japan 日本で最高の外国為替ブローカー
Best Forex Broker in South Africa
Best Forex Broker in Monaco
Best Forex Broker in Vietnam | Nhà môi giới Forex tốt nhất tại Việt Nam
Best Forex Broker in South Korea | 대한민국 최고의 외환 브로커
Best Forex Broker in India | இந்தியாவில் சிறந்த அந்நிய செலாவணி ப்ரோக்கர் | भारत में सर्वश्रेष्ठ विदेशी मुद्रा ब्रोकर
Best Forex Broker in Turkey | Türkiye'nin En İyi Forex Brokerliği
Best Forex Broker in Bulgaria | Най-добър Forex брокер в България
Best Forex Broker in Slovenia | Best Forex Broker v Sloveniji
Best Forex Broker in Slovakia | Najlepší Forex Broker na Slovensku
Best Forex Broker in Romania | Cel mai bun Broker Forex din România
Best Forex Broker in Russia | Лучший Форекс Брокер в России
Best Forex Broker in Czech Republic | Nejlepší Forex Broker v České republice
Best Forex Broker in Croatia | Najbolji Forex Broker u Hrvatskoj
Best Forex Broker in Hungary | A legjobb Forex bróker Magyarországon Best Forex Broker in Persia | بهترین کارگزاری فارکس در ایران
Best Forex Broker in Saudi Arabia | أفضل وسيط فوركس في المملكة العربية السعودية
Best Forex Broker in United Arab Emirates | أفضل وسيط فوركس في الإمارات العربية المتحدة
Best Forex broker in Qatar | أفضل وسيط فوركس في قطر
Best Forex broker in Kuwait | أفضل وسيط فوركس في الكويت
Best Forex broker in Bahrain | أفضل وسيط فوركس في البحرين
Best Forex broker in Jordan | أفضل وسيط فوركس في الأردن


OPEN A DEMO ACCOUNT | OPEN A LIVE ACCOUNT


submitted by TRESORFX to u/TRESORFX [link] [comments]

How you could use the economic changes to win the Forex Market?

How you could use the economic changes to win the Forex Market?
How you could use the economic changes to win the Forex Market?

The Forex market, which continuously operates 24 hours for 5 days in a week, is highly driven by the multiple economic indicators from the major economy. The economic indicators are released by the government or by some private organizations that look deep into the economic performance of the country. Reports generated through such indicators critically examine the economy which indicates whether the country’s economy is on a surge or slump.
The economic state of the country and the current events are the most widely used economic indicators which is used in forex options trading platform while trading Forex markets. Thus, a forex trader has to keep a sharp eye on the economic reforms and regulations to calculate its impact and make substantial profits. When a country booms in production, trade and other economic affairs, its currency value rises; On the contrary, when a country suffers from political imbroglio, unemployment, and inflation, its currency performs poorly in the market. Some of the indicators that serve as a significant instrument to measure the fluctuations of the Forex are as follows:

GROSS DOMESTIC PRODUCT (GDP)

GDP is the most widely used gauge of the overall health of the economy, depicting the condition of the economy in the business cycle. The GDP is the key part which analyses the macroeconomics of the foreign exchange market. The US GDP data is released once in a quarter and even the latest estimate reports are the estimation of the past. Furthermore, the projections are extensively used in the Forex market as a tool in finding whether the US economy is on a positive trend or on a negative trend.

NONFARM PAYROLLS (NFP)

The nonfarm payrolls are released on the first Friday every month by the Bureau of Labor Statistics (BLS). The nonfarm payrolls report has a large effect on market prices. Historically, the changes in the nonfarm payrolls usually follow a similar pattern as the quarterly GDP changes. Thus, the nonfarm payroll data can be used by a trader as a proxy to the GDP which has the tendency to move the Forex market considerably.

UNEMPLOYMENT RATE

The unemployment rate refers to the percentage of the workforce looking for the work, which offers trader insights into one of the key metrics followed by the Fed. When there is a strong deviation from the expectation, it is likely to cause a huge impact on the Forex market also currencies options trading. Historically, the rise in the unemployment rate would lead to the fall in the country’s currency value. Hence, a Forex trader must focus on the unemployment rate and know the state of the economy.

FEDERAL FUNDS RATE

The Federal Open Markets Committee (FOMC) meets eight times in a year and it determines the US monetary policy. The consequences of an FOMC meeting affects the Forex Market. The Forex market is largely affected by the level of interest rates of the two countries and the expectations regarding those interest rate by the traders generally influences the Forex market.The constant update about the Fed rate is quite essential for the Forex traders as the update in the Fed create a huge impact on the US dollar.

CONSUMER CONFIDENCE INDEX

The consumer confidence index typically depicts the feeling of the consumers. If the consumers feel secure in their jobs and are optimistic about their future economic prospects, then it can be inferred that they are ready for going out and spending. Such optimistic reports tend to make a strong impact on the Forex market. Strong reports usually lead to possible upturn for the economy and this is bullish for the Forex. On the other extreme, weak reports lead to possible upturn for the economy and this is bearish for the Forex market. Moreover, this index is heavily influenced by the labor market.
The Forex market is highly prone to the movements brought by the economic news from the major economies of the world. In order to successfully trade in the Forex market and options trading, a trader has to consider the impact of economic indicator along with the release dates of the reports. Moreover, in order to properly keep up-to-date, a trader has to have a trading plan ahead and also have a good quality news feed.
submitted by DualOptions to u/DualOptions [link] [comments]

The era of artificial intelligence: how robots manage capital

The era of artificial intelligence: how robots manage capital
Interview with Alexander Tatarsky, creator of the quantum fund
How well do you know artificial intelligence? Perhaps you have never heard of it, or maybe it’s quite the opposite and robots are already managing your capital.
We were able to interview Alexander Tatarsky — an experienced trader, co-founder and financial director of the Mercury Foundation — a fund that manages capital through A.I.! Alexander introduced us to the concept of his organization and explained the unique idea behind the project.

https://preview.redd.it/bulvn62tuw021.jpg?width=700&format=pjpg&auto=webp&s=7c6357c83fe7c7afd904a8e9718447801fbdc8a1
Alexander, why did you start trading? How did you start and why did you decide to choose this particular field?
Many people know that the Chinese word “crisis” consists of two hieroglyphs. One means “danger”, and the other one — “opportunity.” I considered a global financial crisis of 2008 an opportunity. That’s when I began my professional career in the financial markets. Before those events, I was always very interested in economics (thanks to my economic education!) and financial markets, but I focused on 2 aspects: first is financial markets as an instrument of global management of peoples and their well-being, second — financial markets as an example of the fundamental laws of nature. I always wanted to get closer to understanding the essence of these processes.
However, until 2008, I was just a curious observer. I read books, watched major events, learned to compare facts. I was running a business that had nothing to do with the markets. The events of 2008 encouraged me to make my first profitable deals. And then I realized that this field is not only about self-development and curiosity — it could also become a source of permanent income. With the right approach, this income can be much higher than in other sectors of the economy. So the choice was made.
What were the reasons for creating an Investment Foundation managed by artificial intelligence?
Anyone who is professionally engaged in money management considers automation at some point. Computers are much more efficient than human when it comes to assets management. Robots are taking over, so it was a logical step for us. From the very beginning, we realized the inferiority of the ready-made solutions on the market and did not even consider using other people’s services. We could use the A.I, and we did. It was actually not even a question, it’s like asking an artist — why are you painting? Because we are the best at managing money.
What is the market share (in particular, on cryptocurrency market) of the investment funds (including funds managed by artificial intelligence) and how do you handle the demand?
If we talk about traditional financial markets, then, according to the latest data, the share of investment funds in the total volume of transactions amounts to 70%. At the same time, quantum funds account for at least 27% of all transactions on US exchanges. As for the cryptocurrency market, they are so riddled with fraud and unrealized projects that we have long since ceased to care about the competitors.
There are many ordinary funds, but 80% of them close in a year and 95% of them — in three. We do not consider them competitors, as we are focused on long-term work. All their clients will eventually come to us. In long-term, the manual traders do not stand a chance against the robot.
Are there any companies similar to yours in the world?
Yes, sure. In our industry, only a few succeeded in achieving the degree of automation that we have. The most successful of our colleagues use qualitatively different algorithms that still require regular manual testing and customization. In most cases, those “algorithm factories” constantly have to adapt to the new market conditions. Our algorithms require human participation only at the development stage. Simply put, in most cases, operators with remote controls always follow their robots, but our robot can walk on its own.
The market offers a huge number of different robots that promise to increase your capital in Forex, binary options, cryptocurrency. How are you different from them? Is it possible to earn money with such robots?
Yes, certainly. If you are good at trading and investing. If you have clear money management rules backed by math. If not, you can only lose. And robots have one more limitation — they cannot bring you the profit all the time. Such robots offer a huge number of strategies, half of which is profitable, and the other half is not. Because a person is ultimately responsible for choosing strategies. That is, it is not the robot that makes the decisions, but the user who sets the trading rules. In some cases, it helps to earn quickly, and in others — to lose quickly. Such robots do not guarantee earnings, they only ensure fast trading. We have a radically different approach. Bruce Lee said: “I fear not the man who has practiced 10,000 kicks once, but I fear the man who had practiced one kick 10,000 times”. Therefore, instead of ten thousand strategies, we have been developing only one strategy for several years.
The robots you are talking about are the first level. There are many of them and to me they are useless. Among our competitors, there are funds that trade in traditional markets using second-level robots. There are not many of them, but they all deliver consistently good results. One of the leaders in our industry is the Medallion Foundation, created by Renaissance Technologies. For several decades, their mathematical model has been continuously multiplying their capital.
We consistently implement the same model of asset management, completely removing a person from decision-making process. Development will take a few more years, but even now, our robot is already trading at the professional level. The robot needs a person only for controlling and learning new functions.
Some believe that technical analysis does not apply to cryptocurrency, what do you think about this statement?
I actually do not care; it is rather a question of how competent is the person who said this. If it works for you, you can use it. I think you will agree that a professional can play even on one string, and the amateur can find a thousand reasons to give up. The only thing I can do is ask in return — what can the market offer instead of technical analysis? Intuitive news trading? Fundamental analysis? Neural network?
Technical analysis is a complex discipline and it takes a lot of time and mental strength to fully master it. It could take a trader 10 years to learn it. Not everyone succeeds, so technical analysis does not work for everyone.
I favor a more specific approach: if it doesn’t work for someone, they should figure out why, because it is working for us quite well.
Where does your Foundation operate?
We advertise ourselves as a global foundation. In today’s world, good business has to be global. Among our clients are representatives of the Russian Federation, the European Union, Great Britain and China. We continue to expand our reach. As for trade, over the next 6 months we will be able to manage capital on all largest exchanges of the world.
Why is there a minimum deposit amount of $ 10,000?
There are several reasons. First, we need funds to maintain client accounts. We do not charge a monthly fee, only a percentage of the profits. Therefore, the size of the deposit has a lower limit.
Second, $10k is not much for our target audience. It also acts as a filter that shows the solvency and how serious the intentions of a potential client are. We do not target the mass market and do not deal with dumping. On the contrary, we provide long-term, high-quality services for those who can afford it.
Third, the robot independently manages risks and simultaneously controls all portfolios. We don’t like it if someone can’t enter the position because the share calculated for him by the robot is not allowed on the exchange due to restrictions.
Are there any differences in the management of different amounts of investment? If yes, what are they and are there any similarities in the management of investments of one quantitative segment?
Our job is to describe all the differences with strict mathematical formulas and test them thousands of times under all possible conditions. Therefore, there is no big difference for us between a 5 mln purchase or 5k purchase. Everything is described, tested, calculated, everything works.
Differences in the management of large capital are even more drastic. The psychological factor in this case becomes critical. The same trader managing a demo account or a million dollar account will behave like two completely different people and make fundamentally different decisions. Our task is to completely eliminate the human factor from the money management process.
What are the chances for new instruments to get into the Foundation’s portfolio? What is the basis of the selection of certain tools? Are there any common priority tools for different segments of investors?
Any promising liquid instrument can be included in the portfolio of the Foundation, and the choice depends on many factors. The robot evaluates and filters the instrument on the basis of special algorithms and determines the share of an asset in the portfolio based on the results of the evaluation. All decisions must be mathematically justified, taking into account the analysis of the maximum possible amount of data. The more data on the instrument we have, the higher the quality of the decisions made and the share of the instrument in the portfolio. The choice does not depend on the category of investor. If the instrument is promising and liquid, all our clients will get profit.
Can you tell more about the terms of settlements between the Foundations and investors?
If someone in our market guarantees you a good profit and even specifies when you could get it, then I in turn guarantee that this is a fraud. We are most interested in customer profits, as this is the only way to offset the costs of managing his account. Imagine the following situation:
The new client opened a 10k deposit and a month later, he had a total of 12k in his account. At the beginning of next month, we will ask you to transfer us 1k as a fee. 11k remains on his account, but a month later, suppose, unsuccessful deals were made and there is 10k on his account again. In this case, we do not require any payments until the deposit exceeds 11k.
Suppose a month later he has 12k again. Then we will charge 50% of the difference between 11k and 12k, i.e. $500. The fact that the entire team of our foundation has long transferred the management of all its assets to our robot could also count as a guarantee. We have a direct motivation to make trading as successful as possible. We do not use the services of other funds or managers. And the second fact is that the portfolios of all clients, including our personal ones, are managed simultaneously.
Can you share the success stories of the Foundation?
We want to implement a demo account for this purpose. We plan to fill it with transactions and statistics from 2017, copied from real accounts, but without disclosing personal data. The demo-account will include a history of the average client from the beginning of 2017.
It will explain how the robot trades and what profit you can expect from it.
Do you believe that private investors, to some extent, are competitors to investment funds? What, in your opinion, is it more efficient and profitable: being a private investor or investing with funds?
No, we consider them not competitors, but clients. The vast majority of our clients already have experience in investing. Beginners often think they are the smartest, that they don’t need to pay someone 50% of the income when they can easily buy and sell themselves. I admit that in the short run a private investor can earn more than a robot — but definitely not over a long period. The robot ensures a stable result day after day, year after year, while people are prone to stress, illness and psychological weakness.
Also, funds, compared with private investors, have more compelling ratio of risk and return. At some time, a private investor may gain the same profit as a fund. However, the fund will achieve the same profit with much less risk. My money is controlled by a robot, although I believe in my capabilities as a trader.
Does the Foundation have an affiliate program?
Yes, we have an affiliate program, and at the same time, we are interested in collaborating with specialists for mutually beneficial cooperation. For example, we could consider providing service for the service for really good experts in design, advertising and marketing. If you have such specialists, let them send me their proposals and CVs. See contact details on our website.
What kind of future do you see for ordinary investment funds and funds like the Mercury Foundation?
It is clear to me that the share of funds managed by robots will grow steadily. Most likely, in a couple of decades only old-timers will manage money manually.
Robotization applies to all spheres of life and investment has already come into play. For example, the head of Japan’s Government Pension Investment Fund — the world’s largest pension fund — believes that artificial intelligence will soon completely replace asset managers. And I fully agree with him.
And the largest hedge fund Bridgewater Associates is developing a decision-making algorithm that can replace all management personnel over time.
How do you look at the cryptocurrency market from a global perspective? Will the Bitcoin climb to 20,000$ again? And what will happen to the altcoins?
If we talk about the long term prospect, like 3–5–7–10 years, then I’ll say that today we see the early stage of the cryptocurrency market. Over time, its capitalization will be measured in trillions of dollars. The best projects of this field will become an integral part of our lives. Many of them will become new Google, Facebook, Apple and Amazon.
However, this will happen gradually. In order to become a mature sector of the economy, this market will have to go through many challenges. It will face issues of legislative regulation and technical problems. The scaling and bandwidth issues of most networks are still relevant, as well as legal issues. Most states are just beginning to explore the risks and opportunities associated with these technologies. And the promotion of such technologies is still very dependent on states and supranational bodies. If we talk about the short and medium terms, the prospects are not very bright.
I think that in the near future the bitcoin will certainly not reach the 20,000$ mark. We are witnessing the strongest bear market and must act accordingly. The time for positive medium-term forecasts has not yet come. The industry was severely overcrowded in 2017. There was too much hot money, many economically unfeasible projects and excessively high expectations. The market will need time to stabilize and consolidate. Most likely, we are in for a rather complicated and dangerous period of instability in the market. Obviously, this will be accompanied by some cleansing of the market from weak, incompetent and unclaimed participants.
This is a necessary stage on the path towards development. I think that 80% of altcoins known to us will depreciate and disappear in the next year or two for objective reasons. It will be a time of natural selection. However, strong players will only strengthen their positions in the market. Unfortunately, there will not be many of them. Therefore, in the near future, all investors will need to take a good care of the management of their portfolios. Despite the rather grim short-term and medium-term expectations, there will be some positive developments on the market. Some cryptocurrencies are likely to exceed their all-time peaks next year. And some will just look stronger than the market. This will be enough to generate profitability even under such difficult conditions. Therefore, the main task for the near future is to manage risks in a competent and very conservative manner and select the best ones on the market for investments.
From a professional point of view, what would you wish to partners of our club?
Depends on their goals. If they invest for the sake of emotions, then I wish them good luck and health. If they do it to earn money, I advise you to consult with professionals. This applies not only to investments, but also to any area of life. If you want the task to be solved as accurately as possible — always contact the best professionals available. And always keep learning. Your knowledge is your most reliable asset.
What books would you recommend for beginner traders?
If you decide that you are ready to turn trading into your profession, then start eagerly exploring everything available to you. Everything about financial markets, about macroeconomics, about psychology, about analysis and forecasting. Do not forget that money management skills play a huge role here. Ralph Vince will help you figure it out. Even if your analysis of the markets is very good, you will lose everything eventually if your money management skills are subpar. Now is a great time to learn, you have hundreds and thousands of books available on all aspects of this profession. Someone will enjoy the works of John J. Murphy or Jack Schwager, someone will learn from William D. Gann or Robert Prechter. And remember: knowledge is more important than capital!
We thank Alexander for such a detailed story about the Foundation, as well as for his sincere desire to share his opinions and forecasts. If you want to entrust the management of your funds to the Mercury Foundation, type “I want to invest in the Mercury Foundation” in the personal messages of the group.
submitted by Golden_Island_Club to u/Golden_Island_Club [link] [comments]

The Six Best Crypto Trading Strategies

The Six Best Crypto Trading Strategies
https://preview.redd.it/8uc3berff2g11.jpg?width=1200&format=pjpg&auto=webp&s=56b0505f79db9ada8014c84d345cd0c0025f14f5
The Best Six Crypto Trading Strategies Revealed
Cryptocurrency also called digital currency, virtual currency or alternate currency is emerging as the future of money. The crypto world provides an enormous return on investment for traders to flourish and prosper. Due to the decentralized control and the blockchain technology, people find crypto trading to be more transparent as it doesn’t require a central authority.
On the other hand, the crypto market is very sensitive and security breaches can happen at fraction of a second. There are many hacks that happened in the crypto market that shook the world. Bithumb was hacked at June 2018 and $30 million coins were stolen. These incidents are a mounting evidence which proves how violative is the cryptocurrency market. This article will unveil the top trading strategies that can be used for both stock market and cryptocurrency trading.
Scalping
Scalping is the act of attaining huge profits on minor changes in the asset(coin). Traders who implement this strategy is called a “scalper”. Here the scalpers believe that small moves in the stock price can gain huge profits. The idea is to buy or sell a number of assets at the holding time and sell them higher or lower for a profit. This scalping strategy is perfect for intraday trading.
Technical analysis has to be done before scalping and a scalper spends 8-10 hours in the forex market. A scalper should be proactive to take advantage of the fluctuations in the market. Scalping is more trending in the cryptocurrency market due to the fluctuations in the price of the tokens. Scalping if done statistically keeping in mind of avoiding late entries, overtrading and late exists, scalpers will be able to reap the desired profit in the cryptocurrency trading.
Day trading
Day trading is the most lucrative strategy for people in both the stock and crypto market. This trading is quite similar to the scalping method. The difference is in scalping there are hundreds of transactions done whereas in day trading only very few transactions are done. To be precise, day trading is buying or selling of assets on the same day, to make the most of the market fluctuations. Traders make the most from the minute changes of the price of the asset/coin.
A day trader can make double the profit which means he or she can gain more money from the original money they have spend. Here the holding time is eliminated as the traders hold their assets to a maximum of 2 hours per day. This day trading strategy for cryptocurrency would work only if the market is stable.
Range-bound trading
Range-bound trading is the trading capitalizing on stocks in price channels. This trading is widely used by forex traders and other traders. The concept behind the range-bound trading is identifying the support and resistance areas in order to connect reaction highs and lows with a horizontal trendline.
The reliability of the trendlines depends on the number of times the price has reacted to it. The method is traders repeatedly buy at the support trendline and sell at the resistance trendline until the security breaks out from a price channel. In range-bound trading, it is imperative for the traders to watch for potential breakouts and breakdowns.
Swing trading
Swing trading is similar to the day trading. In day trading the holding time of an asset is a maximum couple of hours a day whereas in swing trade the holding time can extend up to a week or couple of weeks. This type of trading involves in identifying the trends lows, highs and calculating the risk. Before jumping into the swing trading a lot of market analysis has to be done by the trader. A sound technical analysis is needed than day trading. Using this strategy in cryptocurrency is based on the estimation of the trend line and when it is going swing high.
Position trading
Position trading is also called as HOLDing, where an investor holds on his assets through its highs and lows without the intention to sell it. The concept of HOlDing is just buying the coins and put them in your wallet. The investors do not involve in any transactions from months to years and only sells his coins with his own intention or find a threat to his asset. A position trader is neither worried about the market fluctuations nor bothers of the daily, monthly news of the crypto market. This position trading is implemented once or twice a year which makes the trader a long-term investor.
Arbitrage trading
Arbitrage is the simplest method of trading. The concept behind this trading is buying a coin from an exchange where the price is lower and selling it in another exchange where the price is relatively high for that particular coin. The price difference marks the profit gain for the trader. This kind of trading is widely used in the crypto market as it doesn’t require any technical knowledge to perform it. Arbitrage trading can be automated and can be performed by a bot. This trading may present a lucrative window of opportunity to generate passive income for the newbies entering the cryptomarket.
submitted by PrimeTradeAI to PrimeTradeAI [link] [comments]

The Six Best Crypto Trading Strategies

https://preview.redd.it/6jp0w5x7f2g11.jpg?width=1200&format=pjpg&auto=webp&s=cc1ce04b711c2c83a05d4a1f3d9a963e43172a02
The Best Six Crypto Trading Strategies Revealed
Cryptocurrency also called digital currency, virtual currency or alternate currency is emerging as the future of money. The crypto world provides an enormous return on investment for traders to flourish and prosper. Due to the decentralized control and the blockchain technology, people find crypto trading to be more transparent as it doesn’t require a central authority.
On the other hand, the crypto market is very sensitive and security breaches can happen at fraction of a second. There are many hacks that happened in the crypto market that shook the world. Bithumb was hacked at June 2018 and $30 million coins were stolen. These incidents are a mounting evidence which proves how violative is the cryptocurrency market. This article will unveil the top trading strategies that can be used for both stock market and cryptocurrency trading.
Scalping
Scalping is the act of attaining huge profits on minor changes in the asset(coin). Traders who implement this strategy is called a “scalper”. Here the scalpers believe that small moves in the stock price can gain huge profits. The idea is to buy or sell a number of assets at the holding time and sell them higher or lower for a profit. This scalping strategy is perfect for intraday trading.
Technical analysis has to be done before scalping and a scalper spends 8-10 hours in the forex market. A scalper should be proactive to take advantage of the fluctuations in the market. Scalping is more trending in the cryptocurrency market due to the fluctuations in the price of the tokens. Scalping if done statistically keeping in mind of avoiding late entries, overtrading and late exists, scalpers will be able to reap the desired profit in the cryptocurrency trading.
Day trading
Day trading is the most lucrative strategy for people in both the stock and crypto market. This trading is quite similar to the scalping method. The difference is in scalping there are hundreds of transactions done whereas in day trading only very few transactions are done. To be precise, day trading is buying or selling of assets on the same day, to make the most of the market fluctuations. Traders make the most from the minute changes of the price of the asset/coin.
A day trader can make double the profit which means he or she can gain more money from the original money they have spend. Here the holding time is eliminated as the traders hold their assets to a maximum of 2 hours per day. This day trading strategy for cryptocurrency would work only if the market is stable.
Range-bound trading
Range-bound trading is the trading capitalizing on stocks in price channels. This trading is widely used by forex traders and other traders. The concept behind the range-bound trading is identifying the support and resistance areas in order to connect reaction highs and lows with a horizontal trendline.
The reliability of the trendlines depends on the number of times the price has reacted to it. The method is traders repeatedly buy at the support trendline and sell at the resistance trendline until the security breaks out from a price channel. In range-bound trading, it is imperative for the traders to watch for potential breakouts and breakdowns.
Swing trading
Swing trading is similar to the day trading. In day trading the holding time of an asset is a maximum couple of hours a day whereas in swing trade the holding time can extend up to a week or couple of weeks. This type of trading involves in identifying the trends lows, highs and calculating the risk. Before jumping into the swing trading a lot of market analysis has to be done by the trader. A sound technical analysis is needed than day trading. Using this strategy in cryptocurrency is based on the estimation of the trend line and when it is going swing high.
Position trading
Position trading is also called as HOLDing, where an investor holds on his assets through its highs and lows without the intention to sell it. The concept of HOlDing is just buying the coins and put them in your wallet. The investors do not involve in any transactions from months to years and only sells his coins with his own intention or find a threat to his asset. A position trader is neither worried about the market fluctuations nor bothers of the daily, monthly news of the crypto market. This position trading is implemented once or twice a year which makes the trader a long-term investor.
Arbitrage trading
Arbitrage is the simplest method of trading. The concept behind this trading is buying a coin from an exchange where the price is lower and selling it in another exchange where the price is relatively high for that particular coin. The price difference marks the profit gain for the trader. This kind of trading is widely used in the crypto market as it doesn’t require any technical knowledge to perform it. Arbitrage trading can be automated and can be performed by a bot. This trading may present a lucrative window of opportunity to generate passive income for the newbies entering the cryptomarket.
submitted by PrimeTradeAI to cryptotrading [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
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Rate (per day) 9.17 95.73
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  1. 296 points, 24 submissions: tuckerbalch
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    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
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    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

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  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
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  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
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  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
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  94. coderafk (40 points, 28 comments)
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  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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Forex Calculator - pip value, margin & position sizing Forex Calculator for Risk Tolerance, Lots, Profits, etc ... HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING ... FOREX TRADING - HOW TO COUNT THE PIPS & CALCULATE ... FREE Forex Lot Size Calculator: How to use the Right Lot ... Forex: calculating Profit and Loss - YouTube Episode 88: How To Calculate Pips and Pip Value in Forex ...

While your bottom line (total profit or loss) can easily tell you your overall trading performance, keeping statistics is a great way to find out what parts of your trading system are keeping you from running like a finely tuned race car instead of a junkyard clunker. Forex Industry Statistics & Trader Results. The results from our Forex industry survey where we surveyed traders from around the world are in. We have taken more than 400 trader results from 49 different countries around the world, looked at the statistics and complied a detailed report for you below on what traders are doing right now. Every successful forex day trader manages their risk; it is one of, if not the, most crucial elements of ongoing profitability. To start, you must keep your risk on eachtrade very small, and 1% or less is typical. This means if you have a $3,000 a... To make money trading forex (or any market for that matter), you’re going to need statistics to improve your trading performance.When it comes to improving your trading performance, 9x out of 10, you should be choosing data over opinions. I’ve trained thousands of traders, and often times, the difference between winning and losing money came down to one data point or statistic, and at most ... Profitability is not the most important indicator, as risks increase with higher profitability. The effectiveness of capital management strategies with regards to the risk level can be calculated using the Sharpe ratio, which is used to analyze the enterprise's performance on the stock and currency markets. It allows you to compare how much the risk for the strategy is higher compared to risk ... Before entering a trade, it makes sense that you would want to know what you stand to gain or lose from it. FXTM’s Profit Calculator is a simple tool that will help you determine a trade’s outcome and decide if it is favorable. You can also set different bid and ask prices and compare the results. How it works: In 4 simple steps, the Profit Calculator will help you determine the potential ... For traders who are chasing their dream of becoming a full time Forex trader, ... We found evidence that day-trader profitability is related to movements in the Nasdaq Composite Index.” All this really does is support our own views on day trading. It’s harder and riskier than the longer term swing trading. But, this still isn’t enough to nail down the statistic as fact, so let’s move o

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Forex Calculator - pip value, margin & position sizing

#forex #forexlifestyle #forextrader Want to join the A1 Trading Team? See trades taken by our top trading analysts, join our live trading chatroom, and acces... http://LotsofPips.com/forex-calculator/ The Forex Calculator spreadsheet this video reviews is available free of charge at the above address. The point of th... How to calculate pips in forex trading? A lot of people are confused about pips forex meaning and the forex trading pip value. You need the value per pip to ... When you open a trade on the Forex Market, the numbers on the screen will start to change. You need to be able to count the price units also known as PIPS, i... Learn to calculate your profits and losses on Forex I get asked this question a lot from traders; how do you calculate pips and pip value? Today, I will show you the different pip values and how to calculate t... You'll see the position size, pip value and margin calculators in action. It also has a trade simulator and support for multiple base currencies plus much more.

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