How Many Currency Pairs Should I Trade? (Podcast Episode 4)

Double Supertrend Strategy Backtest (8500+ Trades on 28 Pairs)

Hi everyone, so a few months ago I discovered this post by u/AHoomanBeanz which is a strategy I've never heard of before. Basically, you have 2 Supertrends, a short-term one, and a long-term one and when both Supertrends go in the same direction you take a trade.
I took the liberty of modifying the strategy by setting fixed TPs instead of trailing SL with the short-term Supertrend. Check out his post for more info about entries, SL, etc.
In order to determine what way is the most efficient, I backtested this exact strategy on all 28 Majors and Minors and took five different approaches to TPs and moving of SL:
- 1:1 RRR, No Breakeven SL - 1:1.5 RRR, No BE SL - 1:2 RRR, No BE SL
- 1:1.5 RRR, Move SL to BE at 1:1 RRR - 1:2 RRR, Move SL to BE at 1:1RRR
There would be many other ways to handle the TPs and SLs but it already took me months to backtest this but if anyone wants to extend this backtest, feel free.

The Results
Using all 5 ways there were 8 out of 28 pairs that weren't profitable at all. (EURGBP, EURCAD, GBPAUD, GBPNZD, AUDCHF, NZDJPY, CADCHF, CHFJPY)
The remaining 20 pairs were profitable with at least one of the 5 ways. So I combined all 20 pairs and their most profitable TP/SL management methods and it turns out that the strategy isn't even that bad considering that you really just have to understand how Supertrends work.
Now here are some quick stats: Backtest Period: Jan 2017 - Aug 2020
- Risk Per Trade: 1% - Winrate: 44.66% - Profit Factor: 1.65 - Average Monthly Return: 5.81% - Max Drawdown: 18.4%

Notice that the drawdown is pretty high so if you're trading with a prop firm like FTMO you could just risk half as much (0.5% per trade) and your max DD would be 9.2%. Keep in mind that the return would also get cut in half.
If you want to get a more detailed view, here's the backtesting spreadsheet
(Before anyone asks: I spent 2-4h per day for around 6 weeks backtesting and tracking this stuff.)
submitted by FxRaHe to Forex [link] [comments]

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

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

3 years, 28 pairs and 310 trades later

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

2.5 years and 145 backtested trades later

I have a habit of backtesting every strategy I find as long as it makes sense. I find it fun, and even if the strategy ends up being underperforming, it gives me a good excuse to gain valuable chart experience that would normally take years to gather. After I backtest something, I compare it to my current methodology, and usually conclude that mine is better either because it has a better performance or the new method requires too much time to manage (Spoiler: until now, I like this better)
During the last two days, I have worked on backtesting ParallaxFx strategy, as it seemed promising and it seemed to fit my personality (a lazy fuck who will happily halve his yearly return if it means he can spend 10% less time in front of the screens). My backtesting is preliminary, and I didn't delve very deep in the data gathering. I usually track all sort of stuff, but for this first pass, I sticked to the main indicators of performance over a restricted sample size of markets.
Before I share my results with you, I always feel the need to make a preface that I know most people will ignore.
Strategy
I am not going to go into the strategy in this thread. If you haven't read the series of threads by the guy who shared it, go here.
As suggested by my mentioned personality type, I went with the passive management options of ParallaxFx's strategy. After a valid setup forms, I place two orders of half my risk. I add or remove 1 pip from each level to account for spread.
Sample
I tested this strategy over the seven major currency pairs: AUDUSD, USDCAD, NZDUSD, GBPUSD, USDJPY, EURUSD, USDCHF. The time period started on January 1th 2018 and ended on July 1th 2020, so a 2.5 years backtest. I tested over the D1 timeframe, and I plan on testing other timeframes.
My "protocol" for backtesting is that, if I like what I see during this phase, I will move to the second phase where I'll backtest over 5 years and 28 currency pairs.
Units of measure
I used R multiples to track my performance. If you don't know what they are, I'm too sleepy to explain right now. This article explains what they are. The gist is that the results you'll see do not take into consideration compounding and they normalize volatility (something pips don't do, and why pips are in my opinion a terrible unit of measure for performance) as well as percentage risk (you can attach variable risk profiles on your R values to optimize position sizing in order to maximize returns and minimize drawdowns, but I won't get into that).
Results
I am not going to link the spreadsheet directly, because it is in my GDrive folder and that would allow you to see my personal information. I will attach screenshots of both the results and the list of trades. In the latter, I have included the day of entry for each trade, so if you're up to the task, you can cross-reference all the trades I have placed to make sure I am not making things up.
Overall results: R Curve and Segmented performance.
List of trades: 1, 2, 3, 4, 5, 6, 7. Something to note: I treated every half position as an individual trade for the sake of simplicity. It should not mess with the results, but it simply means you will see huge streaks of wins and losses. This does not matter because I'm half risk in each of them, so a winstreak of 6 trades is just a winstreak of 3 trades.
For reference:
Thoughts
Nice. I'll keep testing. As of now it is vastly better than my current strategy.
submitted by Vanguer to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Trading ForeX; A newbies report

My writing is not great, so hang in there. Also, long post.
On Feb 28 2020 I set up an account on Oanda to begin my Forex journey. A friend of mine got me into the idea, saying he has been working with his dad that does this fool* time and it's a great way to make money. "I'm no dumbo and follow wall-street bets" I says, but he assured me THIS was different.
I did some basic research (youtube) and thought to myself, heck, it's money up or down. That's tight.
I came into looking to make a little bit of money, not an astronomical amount. I have a full-time job and two kids, so I'm not looking to end up homeless. I started my account with $1k seed, and the plan was make the $1k seed money back, pull that out, and have new $1k to play with. I thought I would achieve this goal in perhaps two months time. Starting out the trades I have made has been conservative, in units of 300-500.
The very first trade I made was EUJPY @ 100 units. I lost $0.40. It was magical. I had no idea what exactly was happening and the entire dashboard was crazy looking to me. I decided then that I really wanted to learn and I took seriously to the research that I was doing. I quickly found out that the news was a great tool in making market decisions. Looking at the history of currency pairs could also aid one in making informed decisions.
At this moment I made my first self rule: Make informed and guesstimated trade decisions.
I started to journal my trades and the ideas behind making these decisions. This gave me the feedback I needed when a trade went right or wrong for me. I could go back and understand why I did that, instead of just guessing. This also held me accountable for making informed decisions, going back to rule 1.
Rule 2 came shortly after that. I was given a recommendation on a pair to go long on a pair. I looked at the data and my head said nah, don't do that. But I thought to myself, well his dad has been doing this fool* time so let's go for it. Big mistake there. That was my first true loss. Up until this point I had only taken small losses in the form of cents. This was my first double digit loss. It hurt, but not a whole lot. Rule 2: Don't blindly follow. Make your own decisions.
Two weeks have gone by and I had made $1000.00! I got my seed money back! I was feeling good and put in my first big order, 10,000 units short on USD/JPY. BIG HIT of $300+. I was sky high. I did it again alllllll the way at the bottom of what I just closed at. The next morning was rude to me. I woke up with -$400 going against me. I panicked and took the L and started panic buying trying just to make up a little bit of lost cash. I kept digging myself deeper. At the end of the day I lost around $500. I took a day or two off from that and I made my third rule: Don't panic sell or buy.
I regained my composure and studied what I felt and why I reacted the way I did. To understand that the market can move against you is fine, and if I had stuck to rule 1 of informed trades, I would have been fine. Shortly after I had a 60.000 unit USD/CAD long hit -$800. This time I did not panic and I continued about my business. That ended up being on of the most profitable trades I have had, all thanks to Rule 3: Don't panic.
My last (so far) rule was born from the deadly sin of greed. That bastard; he was hard to kill. Seeing those dollar signs go up, up, up and way is so exciting. And then physics happens. Too often have I found myself in the situation of being able to make the same trade multiple times just because of the swing. This doesn't happen all the time and you can't really know if it is going to happen, but sometimes it's pretty easy to see.
Rule 4: Take the profit.
Now, I sell when I feel like I need to sell. If my gut says end it, I end it. I don't have remorse if I end a trade early. I came out with money I never had and I didn't lose money I never had either. Win/Win.
It is now 2 days away from being a month since I started trading. In that amount of time I have ended up with a Realized P/L of $3,036.55 at the time of writing this post. I am not writing this to brag or to look for high-fives and pats on the back. I am not naive that all of this can go very wrong with one click of a button. But I am proud of myself and at the fact that perhaps this could become my side-hustle in conjunction with my full-time job. I am still making rules for myself and still have a lot to learn.
Happy trading, space cowboy.
submitted by turnerbackwards to Forex [link] [comments]

TODAY’S CHF WEAKNESS AND LIVE FOREX TRADING SIGNALS

TODAY’S CHF WEAKNESS AND LIVE FOREX TRADING SIGNALS
Today (6-5-2020 Friday) in the main session forex trading the CHF was weak on all pairs in this currency group. This drove strong price movements during the main trading session. Images of the live forex trading signals from The Forex Heatmap® and price chart movement for these pairs is shown below. The GBP/CHF moved higher and is close to breaking important resistance. Any more upward movement on this pair and a strong uptrend will form on this pair. The CAD/CHF also moved higher, this pair has much more upside on the strong uptrend that is forming. The NZD/CHF also moved higher in the strong uptrend. This pair has some resistance at the 0.6320 area, but more potential past there. These live currency trading signals and trend based trading plans for 28 pairs can be found on our website at Forexearlywarning.com.
https://www.forexearlywarning.com/the-forex-heatmap
#GBPCHF #CADCHF #forexsignals #forextrading #trading #daytrading #forexalerts #currencytrading #forex Swiss Franc GBP/CHF CAD/CHF
https://preview.redd.it/bjrhi5xdeb351.jpg?width=640&format=pjpg&auto=webp&s=cb39925b3899d10d4534bbb1943efd121f7115ba
https://preview.redd.it/paoa6xwdeb351.jpg?width=489&format=pjpg&auto=webp&s=ae9ff537f9bff276b5a33ea87495b926b1710a46
submitted by forexalerts to u/forexalerts [link] [comments]

WolfpackBOT - The world's fastest and most secure trading bot

WolfpackBOT - The world's fastest and most secure trading bot

https://preview.redd.it/b2ffej55zfd21.png?width=768&format=png&auto=webp&s=196c912c5d4250be54d647648613545f74faec7d

INTRODUCTION

According to wikipedia, Blockchain is originally known as bloc chain, It is a growing list of records known as blocks which is linked using cryptography, each of these blocks contain a cryptographic hash of the initial block, a transaction data and a time stamp.
Since its emergence in the year 2008, when Nakamoto satoshi discovered and introduced bitcoin, there has been serious efforts to integrate the blockchain technology into several aspects of various process of global business , The blockchain technology has been described as having the potential to disrupt many industries with immutability, low-cost transaction, and enhanced maximum security. So many other blockchain implementations have been deployed and developed with unique features designed to specific use-cases.
The blockchain technology has made possible to issue assets through a distributed ledger framework. With cryptocurrency tokens, Assets can be given economic value in order to validate and initiate transactional processes.

ADVANTAGES OF BLOCKCHAIN:

  1. Decentralised payment processing,
  2. Creating an immutable system of recording,
  3. Reducing Cost of Transaction and
  4. Enhanced Security.
  5. Now that we have reminded ourselves of what blockchain technology is, let’s look into the subject matter.

ABOUT WolfpackBOT

WolfpackBOT is a highly advanced cryptocurrency trading software that allows for the execution of trades at lightning speed using proprietary trading algorithms, proprietary “Werewolf” Trading Analysis configurations, or user customized settings based on personal trading style. WolfpackBOT also allows for simultaneous trading access to all compatible cryptocurrency exchanges that are available to the bot, and all trading pairs with the WerewolfBOT subscription package.
WolfpackBOT is introducing an industry first, a beautiful automated cryptocurrency trading console: The WolfBOX. This efficient and sleek piece of hardware will conveniently allow for the full utilization of a bot subscription without the need for a VPS or dedicated computer. The WolfBOX will also include a built-in secure Hardware Wallet and RFID card reader to optimize ease-of-use and functionality.
WolfpackBOT trading software is enabled with limit, market, and “Wolf Trade” orders on all trading candles, including one-minute candles, with the widest array of technical trading indicators available on the market. WolfpackBOT's proprietary “Wolf Trade” orders provide superior market sell orders with a bite! WolfpackBOT is the only trading bot to feature live price scanning on your positions and also handles partial fills with ease, meaning you don’t miss out on orders. WolfpackBOT is incredibly fast and can fulfill up to 10,000 trades per day depending on market conditions and subscription package.
WolfpackBOT allows simultaneous trading access to all cryptocurrency exchanges that are available to the bot, and all trading pairs through the WerewolfBOT subscription plan. Not only do inferior bots allow limited access to one exchange and one trading pair per bot, they also store your API keys remotely on servers which are potentially susceptible to hacks and pump and dump attacks. User security and API key protection holds a high priority within the WolfpackBOT framework which is why it is the only trading bot that gives users full control with local management of their API keys.
Masternode and Proof of Work X11 Blockchain
Wolfcoin Blockchain with X11 Proof of Work Mining and Masternode Reward Systems The Wolfcoin blockchain and network are both designed and engineered to ensure store of value, transactional speed and security, and fungibility. The main goal of the Wolfcoin blockchain is to facilitate fast and secure transactions with a governance that helps sustain the network for the benefit of all users. The Wolfcoin blockchain is a two-tier network comprised of a Proof of Work (PoW) consensus mechanism powered by miners and a Proof of Service (PoSe) system powered by masternodes.
The Wolfcoin blockchain is secured through Proof of Work (PoW) in which miners attempt to solve difficult problems with specialized computers. When a problem is solved, the miner receives the right to add a new block to the blockchain. If the problem was solved correctly, the miner is rewarded once the block is added.
The second tier, which is powered by masternodes, enables Wolfcoin to facilitate private and instant transactions with Private Send and Instant Send. Masternodes are also rewarded when miners discover new blocks.
The block reward is distributed with 80% going to the masternodes and 20% going to miners. The masternode system is referred to as Proof of Service (PoSe), since the masternodes provide crucial services that support the features of the network.
Masternodes also oversee the network and have the power to reject improperly formed blocks from miners. If a miner tried to take the entire block reward for themselves, the masternode network would orphan the block ensuring that it would not be added to the blockchain.
In short, miners power the first tier, which is the basic sending and receiving of funds and prevention of double spending. Masternodes power the second tier, which provide the added features that make Wolfcoin different from other cryptocurrencies. Masternodes do not mine, and mining computers cannot serve as masternodes.
Additionally, each masternode is “secured” by 10,000 WOLF. Those WOLF remain under the sole control of their owner at all times. The funds are not locked in any way; however, if enough of the funds are moved or spent to cause the user’s holdings to drop below 10,000 Wolfcoin, the associated masternode will go offline and stop receiving rewards.
By pre-ordering your WolfpackBOT subscription, you will also receive Wolfcoin as a reward that can be utilized in the following ways:
  • Redeemable for WolfpackBOT subscriptions
  • Redeemable for the WolfBOX Console
  • Redeemable for WolfpackBOT and Wolfcoin apparel and merchandise
  • Fungible utility that can be exchanged for like value on exchanges
When you hold at least 10,000 Wolfcoin in your Wolfcoin wallet connected to a static IP address, you will become a masternode, meaning you will have a chance to receive 80 percent of the block reward every sixty seconds.

THE FEATURES

WolfpackBOT Automated Trading Software:

After the crowdsale, Wolfcoin will be the exclusive method of payment for WolfpackBOT Automated Trading Software subscriptions.

Multiple Technical Analysis Indicators:

WolfpackBOT offers the widest array of multiple Technical Analysis indicators, oscillators, configurations and settings available in the world of Automated Cryptocurrency Trading Bots. WolfpackBOT provides Bollinger Bands, Double EMA, Elliot Wave, EMA, EMA Cross, Fibonacci Sequence, KAMA, MA Cross, MACD, RSI, SMA, Stochastic, Stochastic RSI, Triple EMA, and many more!

Shorting Features:

WolfpackBOT includes Cryptocurrency Shorting Features that allow users to short their positions and buy them back at the lower price to maximize their returns.

Copyrighted Crash Protection:

Crash Protection, one of WolfpackBOT's most advanced features, enables users the option to automatically scan and convert all positions to a stable coin at the sign of our proprietary Hidden Bear Divergence Indicator, and then buy back into base currency to resume trading at the sign of our proprietary Hidden Bull Divergence Indicator.

Language Translator:

WolfpackBOT has a built in Language Translator that instantly translates the entire BOT into Dutch, English, French, German, or Spanish.

All Trading Pairs on all available Exchanges:

WolfpackBOT allows our customers to simultaneously trade on multiple cryptocurrency exchanges, and with all the exchange’s trading pairs available for trading. The best part is that it’s all possible on one bot with one subscription to the WerewolfBOT package!

Coin Selector:

While other automated trading platforms only allow for a limited amount of coins per subscription, WolfpackBOT allows all trading pairs and all coins to be traded on all the available major exchanges with the WerewolfBOT subscription. WolfpackBOT's proprietary Coin Selector allows for users to choose whether to trade all cryptocurrencies or blacklist some, thus not trading them at all, as well as search for the highest volume, greatest performing, or a specific volatility range of coins for a given timeframe.

Werewolf Configurations and Settings:

Werewolf Configurations and Settings are copyrighted trading algorithms that use proprietary optimum settings for trading: the perfect configuration for experienced and inexperienced traders alike. These settings can be adjusted to the current market trend, with preset configurations for bear, sideways, and bull markets.

Werewolf Ultimate:

Werewolf Ultimate is the ultimate choice when trading. It doesn't trade a particular trading pair or particular coins, it trades them all. It goes in for the kill to increase the potential returns. Crash Protection is a built-in feature in Werewolf Ultimate.

Werewolf Bull Market:

Werewolf Bull Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bull Run. Werewolf Bull Market settings are optimized for such conditions and should only be used in a Bull Run Market.

Werewolf Sideways Market:

Werewolf Sideways Market are preset settings and configurations that are usable when your Base Trading Pair is trading sideways. Werewolf Sideways Market settings are optimized for such conditions and should only be used in a Sideways Trading Market.

Werewolf Bear Market:

Werewolf Bear Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bear Run. Werewolf Bear Market settings are optimized for such conditions and should only be used in a Bear Run Market.

The WolfBOX Hardware Console:

WolfpackBOT also offers an industry first: a beautiful hardware console, The WolfBOX. Our console comes preloaded with WolfpackBOT Automated Trading Software and also includes a built-in secure hardware wallet. Some of the key features of the WolfBOX include our high-speed CPU, solid-state hard drive, built-in RFID card reader, and integrated Bitpay and Coinbase wallets.

Wolfpack Consulting

Our company offers its services and expertise as Cryptocurrency and Blockchain Specialists to individuals and companies. We offer consulting services in the fields of blockchain and cryptocurrency development and management.

Wolfpack Philanthropy

We are dedicated to the proposition that we have a responsibility to use a portion of our company’s revenue to help create a better world and a brighter future. As we move forward, our philanthropic efforts include environmental stewardship, renewable energy, human rights, economic development, as well as animal and wildlife rescue and conservation with an emphasis on dogs and wolves.

Wolfcoin Information

THE WOLFCOIN Wolfcoin is the coin that fuels all WolfpackBOT's projects.
This utility, coupled with the reward systems with mining and Masternoding capabilities, makes the use of Wolfcoin potentially appealing to all WolfpackBOT users whom are interested in receiving additional Wolfcoin for subscriptions, merchandise and other rewards such as passive cryptocurrency portfolio growth.
THE WOLFCOIN WALLET WolfpackBOT uses our proprietary Wolfcoin Core QT wallet.
February 2018 Conceptual development of WolfpackBOT Software
May 2018 Company Roadmap development Alpha models of WolfpackBOT Software
June 2018 Ongoing research, development, and testing
October 2018 Advertising and Marketing Campaign Starts Wallets available for payment; BTC, BTG, DASH, DOGE, ETC, ETH, LTC October 15 - Pre-registration begins
November 2018 November 1 - Crowdsale Stage I begins
December 2018 Official presentation of WolfpackBOT beta Software Preview Creation of Wolfcoin (WOLF: 300,000,000 coins pre-mined on Genesis Block) WolfpackBOT beta Software release to selected customers
December 21 - Launch network and mine Genesis block
December 22 - PoW / Mainnet
December 23 - Blockchain and network testing
December 28 - Iquidis Wolfcoin Block Explorer released on our website
January 2019 January 1 - Wolfcoin Core wallets available for download on the website January 1 - Wallet and Masternode Tutorial available January 1 - Masternode and PoW instructional videos available January 1 - Subscription Pre-order Coin Rewards disbursed Announcement listing WOLF on top-10 Exchange
February 2019 February 1 - Crowdsale Stage I Ends February 1 - Crowdsale Stage II Begins
March 2019 March 15 - Crowdsale Stage II Ends March 15 - Crowdsale Stage III Begins WolfpackBOT Software roll-out to contributors WolfBOX Console available for Pre-order
April 2019 WolfpackBOT Subscriptions available for customers First Major version released: automated, manual, and paper trading WolfpackBOT Live support center April 30 - Crowdsale Stage III Ends
May 2019 WolfBOX Consoles Pre-orders first shipment
June 2019 New trading features such as new exchanges, strategy options and indicators
July 2019 New trading features such as new exchanges, strategy options or indicators
August 2019 WolfpackBOT Software Trading Platform V2.0 Second major release: Strategy Marketplace and Back-testing
September 2019 New trading features such as new exchanges, strategy options or indicators
October 2019 WolfpackBOT Software Trading Platform V3.0 Third major release: Signals Marketplace (Supporting 3rd Party App Signals) Mobile Application for WolfpackBOT Software and Trading Platform
November 2019 New trading features such as new exchanges, strategy options or indicator
December 2019 WolfpackBOT Software Trading Platform V4.0
January 2020 WolfpackBOT Software Trading Platform V5.0 Fourth major release: Machine Learning Strategy Optimization

THE AMAZING TEAM

Philip Longhurst Chief Executive Officer The leader of our pack and the man behind the WolfpackBOT trading bot, Philip Longhurst is a mathematical genius, engineer, day trader, and animal rescuer. As an account manager for J.P. Morgan and MBNA Bank, Phil managed the accounts of several high-profile clients and businesses. He has been successfully trading stocks for over twenty-five years and has successfully applied his trading expertise and mathematical acumen to the cryptocurrency market since 2013.
Philip holds bachelor's degrees in mechanical engineering and business administration and is a loving husband, father, and family man who has been rescuing dogs since 1995. His driving desire is to use the success of Wolfpack Group to create a brighter future for humanity. He currently resides in the United States of America with his wife, daughter, and dogs.
Rogier Pointl Chief Financial Officer Rogier Pointl is a successful entrepreneur with nearly twenty-five years of experience in business management, marketing, financial administration, economics, and fintech. Rogier holds bachelor's degrees in Business Communications and Financial Administration. He is a pioneer in the field of virtual reality, having served as CEO and owner of Simworld, the first virtual reality racing center in Europe, where he oversaw the development of advanced simulator and virtual reality hardware and software.
Rogier is an experienced trader and has been trading stocks since 2007. He began applying his expertise to the cryptocurrency market in 2010, gaining experience as a Bitcoin miner along the way. Rogier is a loving husband and father and currently resides in the Netherlands with his wife and two daughters.
Jason Cormier Chief Technical Officer Jason Cormier is a humble -but extraordinary- individual who is blessed with a Mensa IQ of 151, he is continually driven by a desire for knowledge and self-growth. He is self-taught in Visual Basics, C#, C++, HTML, and CSS and began developing programs and applications at the age of 14, including the TCB Wallet, which was the first ever wallet program that held its users' log in names and passwords. Jason is a cryptocurrency guru whose expertise includes cryptocurrency mining farms, proof-of-stake, masternodes, and cryptocurrency trading.
Jason holds Associate degrees in Computer Science and Psychology, and currently resides in the United States of America with his wife and son.
Jay McKinney Chief Web Development and Design Officer Jay is a veteran of the Iraq War who put his life on the line in combat to protect our freedoms. To center himself while stationed in the Iraqi warzone, he taught himself C# as he knew honing his Web Development skills would help him provide a better future for himself and his family. Upon returning home safely, he worked his way through college and holds bachelor's degrees in Computer Programming and Web Development & Design.
Jay has worked for the Kentucky Housing Corporation, serving as a software engineer and web developer. He is a loving family man who currently resides in the United States of America with his wife and two children.
David Johnson Chief Software Development Officer David holds a Master of Science degree in Information Systems and a Bachelor's degree in Business Administration with a specialization in Information Systems, graduating with Magna Cum Laude status. He has worked for the Kentucky Housing Corporation, serving as a network analyst and software engineer. As an entrepreneur, he has owned his own web and software development company since 2009, creating and maintaining several websites in C# and PHP, and has been operating the crypto-oriented YouTube channel BigBits since 2017, where he discusses automated Cryptocurrency trading strategies.
David is a proud father of two and resides in the United States of America with his wife and children. Like any good Kentuckian, he is a huge fan of the University of Kentucky's college sports teams.
Gabriel Condrea Software and Web Development Officer Gabriel Condrea holds a bachelor's degree in electrical and computer engineering and has worked as a software developer and senior systems engineer in both the United States and the United Kingdom, working with a variety of programming languages and IDEs. He has used his expertise to create Manufacturing and SCADA systems in industrial applications.
Gabriel also applies his engineering skills to cryptocurrency day trading, seeking to automate the process. He loves to travel and currently resides in the United States with his girlfriend.
Igor Otorepec Chief Hardware Development Officer Igor is an engineer with twenty years of experience specializing in advanced PLC programming and industrial robotics. He is also an IT security expert and a CEC Certified Ethical Cracker who uses his skills to expose and patch security vulnerabilities in blockchain codes.
Igor is an advanced cryptocurrency trader and Kung Fu master who uses bio-hacking as a way of life to keep his 'chi' constantly centered. He currently resides in Austria with his loving wife.
Manik Ehhsan Director of Marketing and Public Relations Manik holds a Bachelor's degree in Computer Science and has over five years of experience in Web Development, Digital Marketing and Graphics Design. He has also managed the marketing for more than 30 successful Cryptocurrency start-ups and projects, and specializes in SEO and ASO. Manik is also a Cryptocurrency project promotion expert with an emphasis on Masternodes and building Social Media Communities.
Manik has focused his life on Cryptocurrency and currently resides in Bangladesh with his loving family.
Rance Garrison Chief Marketing Officer Rance Garrison holds a bachelor's degree in Business Administration and specialized in Seminary Studies for his Master's degree. He served as an AmeriCorps VISTA at WMMT-FM, the radio station owned by Appalshop, an arts and education center in Kentucky, and has also specialized in local cable television advertising. Rance is also a musician who has released several albums independently over the last decade.
Rance is very dedicated to his local community and is most excited by the potential implications of cryptocurrencies and blockchain technology for rural and remote economies. He currently resides in the United States of America with his wife, dog, and cats.
Paul Gabens Chief Public Relations Officer A master negotiator with a penchant for strategy, Paul Gabens brings more than twenty years of marketing and promotional experience in the automotive, hospitality, and entertainment industries to the Wolfpack. He is also an avid stock and cryptocurrency trader, having first entered into the cryptocurrency market two years ago, embracing his passion for crypto with the same vigor as his love for travel, classic cars, extreme roller coasters, and surfing.
Paul holds degrees in business management, marketing, and automotive aftermarket. He currently resides in the United States with his fiancé and two cats.
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THE LION KING ARRIVING

THE LION KING ARRIVING
The Lion King is a 2019 American photorealistic computer-animated musical drama film directed and produced by Jon Favreau, with a screenplay written by Jeff Nathanson, and produced by Walt Disney Pictures. It's a photorealistic computer-animated remake of Disney's traditionally animated 1994 film of the same name. The movie stars the voices of Donald Glover, Seth Rogen, Chiwetel Ejiofor, Alfre Woodard, Billy Eichner, John Kani, John Oliver and Beyoncé Knowles-Carter, in addition to James Earl Jones reprising his authentic position as Mufasa.

https://preview.redd.it/egn6js7pgga31.jpg?width=2000&format=pjpg&auto=webp&s=95de0dc3a49272a75fa9a52df48f44cb714191ff
Plans for a remake of The Lion King have been confirmed in September 2016 following the success of the studio's The Jungle Book, additionally directed by Favreau. A lot of the principle forged signed in early 2017 and principal production started in mid-2017 on a blue screen stage in Los Angeles.
The movie is scheduled to be theatrically launched in America on July 19, 2019. It obtained blended evaluations, with the reward for its visible results and vocal performances, whereas receiving criticism for being extremely spinoff of the unique and the dearth of emoting within the animated lion characters relative to the unique.
Disney’s upcoming movie journeys to the African savanna the place a future king is born. Simba idolizes his father, King Mufasa, and takes to coronary heart his personal royal future. However, not everybody within the kingdom celebrates the brand new cub’s arrival. Scar, Mufasa’s brother—and former inheritor to the throne—has plans of his personal. The battle for Satisfaction Rock is ravaged with betrayal, tragedy and drama, finally leading to Simba’s exile. With an assist from a curious pair of newfound pals, Simba must determine to find out how to develop up and take again what's rightfully his.
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Voice forged

Foremost article: List of The Lion King characters
  • Donald Glover as Simba: A lion who's the crown prince of the Satisfaction Lands. Glover mentioned that the movie will focus extra on Simba's time rising up than the unique movie did, stating that "[Favreau] was very eager in ensuring we noticed [Simba's] transition from boy to man and the way laborious that maybe when there's been a deep trauma".[5]
    • JD McCrary as younger Simba.

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  • Seth Rogen as Pumbaa: A slow-witted common warthog who befriends and adopts a younger Simba after he runs away from dwelling. Rogen mentioned, "[a]s an actor, I [...] do not suppose I am proper for each position — there are numerous roles I do not suppose I am proper for even in motion pictures I am making — however, Pumbaa was one I knew I may do properly".[6]
  • Chiwetel Ejiofor as Scar: The treacherous brother of Mufasa and the uncle of Simba who seeks to take the mantle of king of the Satisfaction Lands. Ejiofor described Scar as extra "psychologically possessed" and "brutalized" than within the authentic movie.[6] Ejiofor mentioned that "particularly with Scar, whether or not it is a vocal high quality that permits for a sure confidence or a sure aggression, to at all times know that on the finish of it you are enjoying someone who has the capability to show everything on its head in a break up second with outrageous acts of violence – that may fully change the temperature of a scene".[6] Ejiofor additionally mentioned that "[Scar and Mufasa's] relationship is totally destroyed and brutalized by Scar's mindset. He is possessed with this illness of his personal ego and his personal need".[5] Favreau mentioned of casting Ejiofor, "[He] is only an incredible actor, who brings us a little bit of the mid-Atlantic cadence and a brand new tackle the character. He brings that feeling of a Shakespearean villain to bear due to his background as an actor. It is great when you have got someone as skilled and seasoned as Chiwetel; he simply breathes such great life into this character.

https://preview.redd.it/xik5ye7vgga31.png?width=756&format=png&auto=webp&s=ed6380f8ce8070d9de0b3e7190758b14152bc36b
  • Alfre Woodard as Sarabi: The Queen of the Satisfaction Lands, Mufasa's mate, and Simba's mom.
  • Billy Eichner as Timon: A wise-cracking meerkat who befriends and adopts a younger Simba after he runs away from dwelling.
  • John Kani as Rafiki: A smart mandrill who serves because of the shaman of the Satisfaction Lands and an in-depth buddy of Mufasa's.[7] Likening his position to that of a grandfather, Kani mentioned, "Rafiki reminds all of us of that particular smart relative. His knowledge, humour and his loyalty to the Mufasa dynasty is what warms our hearts in direction of him. [He's] at all times blissful and wisecracking jokes as classes of life and survival.
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  • John Oliver as Zazu: A red-billed hornbill who's the majordomo to the King of the Satisfaction Lands. Talking of his position, Oliver mentioned, "I believe Zazu is mainly a fowl who likes construction. He simply desires issues to be as they need to be. I believe there are British echoes there as a result of we are inclined to favour construction in lieu of getting an emotional response to something."[1]
  • Beyoncé Knowles-Carter as Nala: Simba's childhood greatest buddy and future love curiosity. In accordance with Favreau, the character has a much bigger position than within the authentic movie.[8]Favreau felt that "a part of [Beyoncé joining the film] is that she's bought younger children, a part of it's that it is a story that feels good for this part of her life and her profession, and he or she actually likes the unique very a lot. After which, after all, there are these great musical numbers that she could be concerned with, and my God... she actually lives as much as her fame so far as the fantastic thing about her voice and expertise".

https://preview.redd.it/whc87s3fhga31.jpg?width=1200&format=pjpg&auto=webp&s=01346be25f62e54b16b9a395a733e98dd4af4a48
  • Shahadi Wright Joseph as younger Nala. Joseph reprises her position from the Broadway production.[10] Joseph selected to work on the movie as a result of "Nala conjures up little ladies [...] She's an excellent position mannequin".
  • James Earl Jones as Mufasa: The King of the Satisfaction Lands and the daddy of Simba. Jones reprises his position from the unique 1994 animated movie. In accordance with Favreau, Jones' strains stay principally the identical from the unique movie.[6] Ejiofor mentioned that "the consolation of [Jones reprising his role] goes to be very rewarding in taking [the audience] on this journey once more. It is a once-in-a-generation vocal high quality". Favreau noticed Jones' return as "carrying the legacy throughout" the unique movie and the remake, and felt that his voice's change in tonality in comparison with the unique movie "served the position properly as a result of he feels like a king who's nominated for a very long time".
Florence Kasumba, Keegan-Michael Key, and Eric Andre voice Shenzi, Kamari, and Azizi, three spotted hyenas who're Scar's henchmen. Whereas Shenzi is a personality that was featured within the authentic 1994 animated movie, Kamari and Azizi are the respective renames of Banzai and Ed from the unique movie. The hyenas' characterizations have been closely altered from the unique movie's, as Favreau felt that they "needed to change so much" to suit the remake's reasonable fashion, stating that "[a] lot of the stuff around them [in the original film] was very stylised".[13]Kasumba elaborated, declaring that "These hyenas have been humorous. These hyenas are harmful.
Moreover, Penny Johnson Jerald voices Sarafina, Nala's mom.[1] Amy Sedaris, Chance the Rapper and Josh McCrary voice a guinea fowl, a bush baby, and an elephant shrew, respectively, Timon and Pumbaa's neighbours within the jungle.[1][14] Phil LaMarr voices an impala, whereas J. Lee voices a hyena.

Manufacturing

Growth

On September 28, 2016, Walt Disney Pictures confirmed that Jon Favreau can be directing a remake of the 1994 animated movie The Lion King, which might characteristic the songs from the 1994 movie, following a string of latest field workplace successes on the opposite Disney live-action remake movies comparable to Maleficent), Cinderella), Favreau's The Jungle Book) and Beauty and the Beast), with the latter three additionally incomes important reward.[15]#citenote-15) On October 13, 2016, it was reported that Disney had employed Jeff Nathanson to write down the screenplay for the remake,[[16]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-16) with the story written by Brenda Chapman, who was the unique movie's head of story.[[17]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-LionKingEverythingKnow-17)
In November, speaking with ComingSoon.net, Favreau mentioned the digital cinematography expertise he utilized in The Jungle Ebook can be used to a larger diploma in The Lion King.[18]#citenote-18) Though the media reported The Lion King to be a live-action movie, it really makes use of photorealistic computer-generated animation. Disney additionally didn't describe it as live-action, solely stating it could comply with the "technologically groundbreaking" strategy of The Jungle Ebook.[[19]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-19) Whereas the movie acts as a remake of the 1994 animated movie, Favreau was impressed by the Broadway adaptation) of the movie for certain points of the remake's plot, notably Nala and Sarabi's roles.[[20]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-20) Favreau additionally aimed to develop his personal tackle the unique movie's story with what he mentioned was "the spectacle of a BBC wildlife documentary".[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21)
This serves as the ultimate credit score for movie editor Mark Livolsi, who died in September 2018.[22]#citenote-22) The movie is devoted to him.[[1]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-PressKit-1)

Casting

In mid-February 2017, Donald Glover was forged as Simba, with James Earl Jones reprising his position as Mufasa from the 1994 movie.[23]#citenote-23) In April 2017, Billy Eichner and Seth Rogen have been forged to play Timon and Pumbaa respectively.[[24]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-24) In July 2017, John Oliver was forged as Zazu.[[25]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-OliverCast-25) In August 2017, Alfre Woodard and John Kani have been introduced to play Sarabi and Rafiki), respectively.[[26]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-26)[[27]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-27)
Earlier in March 2017, it was introduced that Beyoncé was Favreau's best choice for the position of Nala) and that the director and studio can be keen to do no matter it took to accommodate her busy schedule.[28]#citenote-28) In a while November 1, 2017, her position was confirmed in an official announcement,[[29]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-29)[[30]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-30) which additionally confirmed that Chiwetel Ejiofor would play the position of Scar), and introduced that Eric Andre, Florence Kasumba, and Keegan-Michael Key would be the voices of Azizi, Shenzi and Kamari whereas JD McCrary and Shahadi Wright Joseph would be the voices of younger Simba and younger Nala, respectively.[[31]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-31)[[32]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-32)[[33]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-33)[[34]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-34)[[35]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-35) In November 2018, Amy Sedaris was introduced as having been forged in a task created for the movie.[[36]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-36)

https://preview.redd.it/z07sy0ajhga31.jpg?width=700&format=pjpg&auto=webp&s=408b58a2cc2475200dcb12819ecae96bfb73b880

Visible results

The Moving Picture Company, the lead vendor on The Jungle Ebook, will present the visible results and so they'll be supervised by Robert Legato, Elliot Newman and Adam Valdez.[37]#citenote-37) The movie will make the most of "virtual-reality instruments", per Visible Results Supervisor Rob Legato.[[38]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-LionKingD23-38) Digital Manufacturing Supervisor Girish Balakrishnan mentioned on his skilled web site that the filmmakers used motion capture and VR/applied sciences,[[39]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-:1-39) with the manufacturing crew combining VR expertise with cameras so as to movie the remake in a VR-simulated environment.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21) Sean Bailey, Disney's President of Manufacturing, referred to as the movie's visible results "a brand new type of filmmaking", and felt that "Historic definitions do not work", stating that "[it] makes use of some methods that will historically be referred to as animation, and different methods that will historically be referred to as live-action. It's an evolution of the expertise Jon [Favreau] utilized in Jungle Ebook".
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Music

Foremost article: The Lion King (2019 soundtrack))
Hans Zimmer, who composed the 1994 animated model, would return to compose the rating for the remake.[41]#citenote-41) Elton John additionally returned to transform his musical compositions from the unique movie earlier than his retirement,[[42]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-42) with Beyoncé aiding John within the remodelling of the soundtrack.[[43]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-43) John, the unique movie's lyricist, Tim Rice, and Beyoncé additionally created a brand new track for the movie,[[44]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-44) titled "Spirit)" and carried out by Beyoncé, which was launched on July 9, 2019, because of the lead single from the soundtrack.[[45]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TheGift-45) John and Rice additionally wrote a brand new track for the movie's finish credit, titled "By no means Too Late" and carried out by John.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46) The movie additionally options all of the songs from the unique movie, a canopy of The Token's "The Lion Sleeps Tonight", and the track "He Lives in You" from Rhythm of the Satisfaction Lands and the Broadway manufacturing.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46)The soundtrack, that includes Zimmer's rating and John and Rice's songs, was launched digitally on July 11, 2019, and will likely be bodily on July 19, 2019.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-Soundtrack-46)
Beyoncé additionally produced and curated an album titled The Lion King: The Gift, which can characteristic "Spirit", in addition to songs impressed by the movie. The album is about to be launched on July 19, 2019.[45]#cite_note-TheGift-45)

Advertising

The primary teaser trailer and the official teaser poster for The Lion King debuted throughout the annual Dallas Cowboys' Thanksgiving day came on November 22, 2018.[47]#citenote-EWTeaser-47)[[48]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-VarietyTeaser-48) The trailer was seen 224.6 million occasions in its first 24 hours, turning into the then 2nd most viewed trailer in that time period.[[49]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TrailerViews-49) A particular sneak peek that includes John Kani's voice as Rafiki) and a brand new poster have been launched in the course of the 91st Academy Awards on February 24, 2019.[[50]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-50) On April 10, 2019, Disney launched the official trailer that includes new footage which revealed Scar), Zazu, Simba and Nala) (each as cubs and as adults), Sarabi, Rafiki), Timon and Pumbaa and the hyenas.[[51]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-51) The trailer was seen 174 million occasions in its first 24 hours, which was revealed on Disney's Investor Day 2019 Webcast.[[52]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-52) On Could 30, 2019, 11 particular person character posters have been launched.[[53]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-53) A particular sneak peek that includes Beyoncé, Billy Eichner, and Seth Rogen's voices as Nala), Timon, and Puma respectively, was launched on June 3, 2019.[[54]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-54) A particular sneak peek that includes Beyoncé and Donald Glover's voices as Simba and Nana singing) "Can You Feel the Love Tonight" and in addition that includes James Earl Jones' voice as Mufasa, was launched on June 20, 2019.[[55]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-55) On July 2, 2019, Disney launched an intensive behind-the-scenes featurette detailing the varied points of the movie's manufacturing together with seven publicity stills that include the voice actors going through their animal counterparts.[[56]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-56)

Shot-for-shot declare

The trailers of the movie led to a declaration of its being a shot-for-shot remake of Disney's 1994 movie. On December 23, 2018, Sean Bailey, Disney's President of Manufacturing, mentioned that whereas the movie will "revere and love these elements that the viewers desires", there will likely be "issues within the film which might be going to be new".[40]#citenote-ScreenRant-40) On April 18, 2019, Favreau acknowledged that "some photographs within the 1994 animated movie are so iconic" he could not presumably change them, however "regardless of what the trailers counsel, this movie isn't just the identical film over once more",[[57]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-57) and later mentioned "it is for much longer than the unique movie. And a part of what we're doing right here is to (give it extra dimension) not simply visually however each story smart and emotionally."[[58]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-58) On Could 30, 2019, Favreau mentioned that a number of the humour and characterizations are being altered to be extra according to the remainder of the movie,[[59]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-59) and this remake is making some adjustments in sure scenes from the unique movie, in addition to in its construction.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-FavreauVideoGame-21)On June 14, 2019, Favreau mentioned that, whereas the unique movie's fundamental plot factors will stay unchanged within the remake, the movie will largely diverge from the unique model, and hinted that the Elephant Graveyard, the hyenas' lair within the authentic movie, will likely be changed by a brand new location.[[13]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-DirectorHyenas-13) On July 5, 2019, the movie was revealed to have a 118 minutes period, making it roughly 30 minutes longer than the unique movie.[[60]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-60)

Launch

The Lion King premiered in Hollywood on July 9, 2019.[61]#citenote-61) The movie is scheduled to be theatrically launched in America on July 19, 2019.[[62]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-62) It will likely be one of many first theatrical movies to be launched on Disney+, alongside Aladdin), Toy Story 4, Frozen 2, Captain Marvel), and Avengers: Endgame.[[63]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-63)
The movie started its worldwide rollout per week earlier than its home launch, beginning with July 12 in China.[64]#cite_note-ChinaPreview-64)

Reception

Field workplace

Starting on June 24, 2019 (which marked the 25th anniversary of the discharge of the unique movie), in its first 24 hours of pre-sales, The Lion King grew to become the second-best pre-seller of 2019 on Fandango) in that body (behind Avengers: Endgame), whereas Atom Tickets reported it gave their best-ever first-day gross sales for a household movie.[65]#citenote-Presales_record-65) Three weeks previous to its launch, business monitoring projected the movie would gross $150–170 million in its home opening weekend.[[66]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-66)[[67]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-67)
In China, the place it launched per week previous to the U.S., the movie was projected to debut to $50–60 million.[64]#citenote-ChinaPreview-64) It ended up opening to $54.7 million, beating the debuts of The Jungle Ebook and Magnificence and the Beast.[[68]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-68)

https://preview.redd.it/5xzol8ylhga31.jpg?width=700&format=pjpg&auto=webp&s=4a3aedd277ee3550808bfb314624587b23ed71b2

Vital response

On review aggregator web site Rotten Tomatoes, the movie holds an approval ranking of 59% based mostly on 123 evaluations, and an average rating of 6.45/10. The web site's important consensus reads, "Although it may take satisfaction in its visible achievements, this reimagined The Lion King is a by the numbers retelling that lacks the power and coronary heart that made the unique so beloved – although for some followers that will simply be sufficient."[69]#citenote-69) Metacritic gave the movie a weighted common rating of 57 out of 100 based mostly on 38 critics, indicating "blended or common evaluations".[[70]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-70)
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Kenneth Turan on the Los Angeles Times referred to like the movie "polished, satisfying leisure."[71]#citenote-71) Todd McCarthy at The Hollywood Reporter thought-about it to be inferior to the unique, noting, "The movie's aesthetic warning and predictability start to put on down on your entire enterprise within the second half."[[72]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-72) At The Guardian, Peter Bradshaw discovered the movie "watchable and pleasing. However, I missed the simplicity and vividness of the unique hand-drawn pictures."[[73]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-73)
A. A. Dowd, writing for The A.V. Club, summarized the movie as "Joyless, artless, and perhaps soulless, it transforms some of the putting titles from the Mouse Home vault into a really costly, star-studded Disneynature movie." Dowd bemoaned the movie's insistence on realism, commenting, "We're watching a hole bastardization of a blockbuster, without delay fully reliant on the viewers' pre-established affection for its predecessor and unusually decided to jettison a lot of what made it particular."[74]#citenote-74) Scott Mendelson at Forces condemned the movie as a "crushing disappointment": "At nearly each flip, this redo undercuts its personal melodrama by downplaying its personal feelings."[[75]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-75) David Ehrlich of IndieWire panned the movie, writing, "Unfolding just like the world's longest and least convincing deep fake, Jon Favreau's (nearly) photorealistic remake of The Lion King is supposed to characterize the following step in Disney's circle of life. As an alternative, this soulless chimera of a movie comes off as little greater than a glorified tech demo from a grasping conglomerate — a well-rendered however creatively bankrupt self-portrait of a film studio consuming its personal tail."[[76]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-76)
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WolfpackBOT is a highly advanced cryptocurrency trading software that allows for the execution of trades at lightning speed using proprietary trading algorithms, proprietary “Werewolf” Trading Analysis configurations, or user customized settings based on personal trading style. WolfpackBOT also allows for simultaneous trading access to all compatible cryptocurrency exchanges that are available to the bot, and all trading pairs with the WerewolfBOT subscription package.
WolfpackBOT is introducing an industry first, a beautiful automated cryptocurrency trading console: The WolfBOX. This efficient and sleek piece of hardware will conveniently allow for the full utilization of a bot subscription without the need for a VPS or dedicated computer. The WolfBOX will also include a built-in secure Hardware Wallet and RFID card reader to optimize ease-of-use and functionality.
WolfpackBOT trading software is enabled with limit, market, and “Wolf Trade” orders on all trading candles, including one-minute candles, with the widest array of technical trading indicators available on the market. WolfpackBOT's proprietary “Wolf Trade” orders provide superior market sell orders with a bite! WolfpackBOT is the only trading bot to feature live price scanning on your positions and also handles partial fills with ease, meaning you don’t miss out on orders. WolfpackBOT is incredibly fast and can fulfill up to 10,000 trades per day depending on market conditions and subscription package.
WolfpackBOT allows simultaneous trading access to all cryptocurrency exchanges that are available to the bot, and all trading pairs through the WerewolfBOT subscription plan. Not only do inferior bots allow limited access to one exchange and one trading pair per bot, they also store your API keys remotely on servers which are potentially susceptible to hacks and pump and dump attacks. User security and API key protection holds a high priority within the WolfpackBOT framework which is why it is the only trading bot that gives users full control with local management of their API keys.
Masternode and Proof of Work X11 Blockchain
Wolfcoin Blockchain with X11 Proof of Work Mining and Masternode Reward Systems The Wolfcoin blockchain and network are both designed and engineered to ensure store of value, transactional speed and security, and fungibility. The main goal of the Wolfcoin blockchain is to facilitate fast and secure transactions with a governance that helps sustain the network for the benefit of all users. The Wolfcoin blockchain is a two-tier network comprised of a Proof of Work (PoW) consensus mechanism powered by miners and a Proof of Service (PoSe) system powered by masternodes.
The Wolfcoin blockchain is secured through Proof of Work (PoW) in which miners attempt to solve difficult problems with specialized computers. When a problem is solved, the miner receives the right to add a new block to the blockchain. If the problem was solved correctly, the miner is rewarded once the block is added.
The second tier, which is powered by masternodes, enables Wolfcoin to facilitate private and instant transactions with Private Send and Instant Send. Masternodes are also rewarded when miners discover new blocks.
The block reward is distributed with 80% going to the masternodes and 20% going to miners. The masternode system is referred to as Proof of Service (PoSe), since the masternodes provide crucial services that support the features of the network.
Masternodes also oversee the network and have the power to reject improperly formed blocks from miners. If a miner tried to take the entire block reward for themselves, the masternode network would orphan the block ensuring that it would not be added to the blockchain.
In short, miners power the first tier, which is the basic sending and receiving of funds and prevention of double spending. Masternodes power the second tier, which provide the added features that make Wolfcoin different from other cryptocurrencies. Masternodes do not mine, and mining computers cannot serve as masternodes.
Additionally, each masternode is “secured” by 10,000 WOLF. Those WOLF remain under the sole control of their owner at all times. The funds are not locked in any way; however, if enough of the funds are moved or spent to cause the user’s holdings to drop below 10,000 Wolfcoin, the associated masternode will go offline and stop receiving rewards.
By pre-ordering your WolfpackBOT subscription, you will also receive Wolfcoin as a reward that can be utilized in the following ways:
  • Redeemable for WolfpackBOT subscriptions
  • Redeemable for the WolfBOX Console
  • Redeemable for WolfpackBOT and Wolfcoin apparel and merchandise
  • Fungible utility that can be exchanged for like value on exchanges
When you hold at least 10,000 Wolfcoin in your Wolfcoin wallet connected to a static IP address, you will become a masternode, meaning you will have a chance to receive 80 percent of the block reward every sixty seconds.

THE FEATURES

WolfpackBOT Automated Trading Software:

After the crowdsale, Wolfcoin will be the exclusive method of payment for WolfpackBOT Automated Trading Software subscriptions.

Multiple Technical Analysis Indicators:

WolfpackBOT offers the widest array of multiple Technical Analysis indicators, oscillators, configurations and settings available in the world of Automated Cryptocurrency Trading Bots. WolfpackBOT provides Bollinger Bands, Double EMA, Elliot Wave, EMA, EMA Cross, Fibonacci Sequence, KAMA, MA Cross, MACD, RSI, SMA, Stochastic, Stochastic RSI, Triple EMA, and many more!

Shorting Features:

WolfpackBOT includes Cryptocurrency Shorting Features that allow users to short their positions and buy them back at the lower price to maximize their returns.

Copyrighted Crash Protection:

Crash Protection, one of WolfpackBOT's most advanced features, enables users the option to automatically scan and convert all positions to a stable coin at the sign of our proprietary Hidden Bear Divergence Indicator, and then buy back into base currency to resume trading at the sign of our proprietary Hidden Bull Divergence Indicator.

Language Translator:

WolfpackBOT has a built in Language Translator that instantly translates the entire BOT into Dutch, English, French, German, or Spanish.

All Trading Pairs on all available Exchanges:

WolfpackBOT allows our customers to simultaneously trade on multiple cryptocurrency exchanges, and with all the exchange’s trading pairs available for trading. The best part is that it’s all possible on one bot with one subscription to the WerewolfBOT package!

Coin Selector:

While other automated trading platforms only allow for a limited amount of coins per subscription, WolfpackBOT allows all trading pairs and all coins to be traded on all the available major exchanges with the WerewolfBOT subscription. WolfpackBOT's proprietary Coin Selector allows for users to choose whether to trade all cryptocurrencies or blacklist some, thus not trading them at all, as well as search for the highest volume, greatest performing, or a specific volatility range of coins for a given timeframe.

Werewolf Configurations and Settings:

Werewolf Configurations and Settings are copyrighted trading algorithms that use proprietary optimum settings for trading: the perfect configuration for experienced and inexperienced traders alike. These settings can be adjusted to the current market trend, with preset configurations for bear, sideways, and bull markets.

Werewolf Ultimate:

Werewolf Ultimate is the ultimate choice when trading. It doesn't trade a particular trading pair or particular coins, it trades them all. It goes in for the kill to increase the potential returns. Crash Protection is a built-in feature in Werewolf Ultimate.

Werewolf Bull Market:

Werewolf Bull Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bull Run. Werewolf Bull Market settings are optimized for such conditions and should only be used in a Bull Run Market.

Werewolf Sideways Market:

Werewolf Sideways Market are preset settings and configurations that are usable when your Base Trading Pair is trading sideways. Werewolf Sideways Market settings are optimized for such conditions and should only be used in a Sideways Trading Market.

Werewolf Bear Market:

Werewolf Bear Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bear Run. Werewolf Bear Market settings are optimized for such conditions and should only be used in a Bear Run Market.

The WolfBOX Hardware Console:

WolfpackBOT also offers an industry first: a beautiful hardware console, The WolfBOX. Our console comes preloaded with WolfpackBOT Automated Trading Software and also includes a built-in secure hardware wallet. Some of the key features of the WolfBOX include our high-speed CPU, solid-state hard drive, built-in RFID card reader, and integrated Bitpay and Coinbase wallets.

Wolfpack Consulting

Our company offers its services and expertise as Cryptocurrency and Blockchain Specialists to individuals and companies. We offer consulting services in the fields of blockchain and cryptocurrency development and management.

Wolfpack Philanthropy

We are dedicated to the proposition that we have a responsibility to use a portion of our company’s revenue to help create a better world and a brighter future. As we move forward, our philanthropic efforts include environmental stewardship, renewable energy, human rights, economic development, as well as animal and wildlife rescue and conservation with an emphasis on dogs and wolves.

Wolfcoin Information

THE WOLFCOIN Wolfcoin is the coin that fuels all WolfpackBOT's projects.
This utility, coupled with the reward systems with mining and Masternoding capabilities, makes the use of Wolfcoin potentially appealing to all WolfpackBOT users whom are interested in receiving additional Wolfcoin for subscriptions, merchandise and other rewards such as passive cryptocurrency portfolio growth.
THE WOLFCOIN WALLET WolfpackBOT uses our proprietary Wolfcoin Core QT wallet.
February 2018 Conceptual development of WolfpackBOT Software
May 2018 Company Roadmap development Alpha models of WolfpackBOT Software
June 2018 Ongoing research, development, and testing
October 2018 Advertising and Marketing Campaign Starts Wallets available for payment; BTC, BTG, DASH, DOGE, ETC, ETH, LTC October 15 - Pre-registration begins
November 2018 November 1 - Crowdsale Stage I begins
December 2018 Official presentation of WolfpackBOT beta Software Preview Creation of Wolfcoin (WOLF: 300,000,000 coins pre-mined on Genesis Block) WolfpackBOT beta Software release to selected customers
December 21 - Launch network and mine Genesis block
December 22 - PoW / Mainnet
December 23 - Blockchain and network testing
December 28 - Iquidis Wolfcoin Block Explorer released on our website
January 2019 January 1 - Wolfcoin Core wallets available for download on the website January 1 - Wallet and Masternode Tutorial available January 1 - Masternode and PoW instructional videos available January 1 - Subscription Pre-order Coin Rewards disbursed Announcement listing WOLF on top-10 Exchange
February 2019 February 1 - Crowdsale Stage I Ends February 1 - Crowdsale Stage II Begins
March 2019 March 15 - Crowdsale Stage II Ends March 15 - Crowdsale Stage III Begins WolfpackBOT Software roll-out to contributors WolfBOX Console available for Pre-order
April 2019 WolfpackBOT Subscriptions available for customers First Major version released: automated, manual, and paper trading WolfpackBOT Live support center April 30 - Crowdsale Stage III Ends
May 2019 WolfBOX Consoles Pre-orders first shipment
June 2019 New trading features such as new exchanges, strategy options and indicators
July 2019 New trading features such as new exchanges, strategy options or indicators
August 2019 WolfpackBOT Software Trading Platform V2.0 Second major release: Strategy Marketplace and Back-testing
September 2019 New trading features such as new exchanges, strategy options or indicators
October 2019 WolfpackBOT Software Trading Platform V3.0 Third major release: Signals Marketplace (Supporting 3rd Party App Signals) Mobile Application for WolfpackBOT Software and Trading Platform
November 2019 New trading features such as new exchanges, strategy options or indicator
December 2019 WolfpackBOT Software Trading Platform V4.0
January 2020 WolfpackBOT Software Trading Platform V5.0 Fourth major release: Machine Learning Strategy Optimization

THE AMAZING TEAM

Philip Longhurst Chief Executive Officer The leader of our pack and the man behind the WolfpackBOT trading bot, Philip Longhurst is a mathematical genius, engineer, day trader, and animal rescuer. As an account manager for J.P. Morgan and MBNA Bank, Phil managed the accounts of several high-profile clients and businesses. He has been successfully trading stocks for over twenty-five years and has successfully applied his trading expertise and mathematical acumen to the cryptocurrency market since 2013.
Philip holds bachelor's degrees in mechanical engineering and business administration and is a loving husband, father, and family man who has been rescuing dogs since 1995. His driving desire is to use the success of Wolfpack Group to create a brighter future for humanity. He currently resides in the United States of America with his wife, daughter, and dogs.
Rogier Pointl Chief Financial Officer Rogier Pointl is a successful entrepreneur with nearly twenty-five years of experience in business management, marketing, financial administration, economics, and fintech. Rogier holds bachelor's degrees in Business Communications and Financial Administration. He is a pioneer in the field of virtual reality, having served as CEO and owner of Simworld, the first virtual reality racing center in Europe, where he oversaw the development of advanced simulator and virtual reality hardware and software.
Rogier is an experienced trader and has been trading stocks since 2007. He began applying his expertise to the cryptocurrency market in 2010, gaining experience as a Bitcoin miner along the way. Rogier is a loving husband and father and currently resides in the Netherlands with his wife and two daughters.
Jason Cormier Chief Technical Officer Jason Cormier is a humble -but extraordinary- individual who is blessed with a Mensa IQ of 151, he is continually driven by a desire for knowledge and self-growth. He is self-taught in Visual Basics, C#, C++, HTML, and CSS and began developing programs and applications at the age of 14, including the TCB Wallet, which was the first ever wallet program that held its users' log in names and passwords. Jason is a cryptocurrency guru whose expertise includes cryptocurrency mining farms, proof-of-stake, masternodes, and cryptocurrency trading.
Jason holds Associate degrees in Computer Science and Psychology, and currently resides in the United States of America with his wife and son.
Jay McKinney Chief Web Development and Design Officer Jay is a veteran of the Iraq War who put his life on the line in combat to protect our freedoms. To center himself while stationed in the Iraqi warzone, he taught himself C# as he knew honing his Web Development skills would help him provide a better future for himself and his family. Upon returning home safely, he worked his way through college and holds bachelor's degrees in Computer Programming and Web Development & Design.
Jay has worked for the Kentucky Housing Corporation, serving as a software engineer and web developer. He is a loving family man who currently resides in the United States of America with his wife and two children.
David Johnson Chief Software Development Officer David holds a Master of Science degree in Information Systems and a Bachelor's degree in Business Administration with a specialization in Information Systems, graduating with Magna Cum Laude status. He has worked for the Kentucky Housing Corporation, serving as a network analyst and software engineer. As an entrepreneur, he has owned his own web and software development company since 2009, creating and maintaining several websites in C# and PHP, and has been operating the crypto-oriented YouTube channel BigBits since 2017, where he discusses automated Cryptocurrency trading strategies.
David is a proud father of two and resides in the United States of America with his wife and children. Like any good Kentuckian, he is a huge fan of the University of Kentucky's college sports teams.
Gabriel Condrea Software and Web Development Officer Gabriel Condrea holds a bachelor's degree in electrical and computer engineering and has worked as a software developer and senior systems engineer in both the United States and the United Kingdom, working with a variety of programming languages and IDEs. He has used his expertise to create Manufacturing and SCADA systems in industrial applications.
Gabriel also applies his engineering skills to cryptocurrency day trading, seeking to automate the process. He loves to travel and currently resides in the United States with his girlfriend.
Igor Otorepec Chief Hardware Development Officer Igor is an engineer with twenty years of experience specializing in advanced PLC programming and industrial robotics. He is also an IT security expert and a CEC Certified Ethical Cracker who uses his skills to expose and patch security vulnerabilities in blockchain codes.
Igor is an advanced cryptocurrency trader and Kung Fu master who uses bio-hacking as a way of life to keep his 'chi' constantly centered. He currently resides in Austria with his loving wife.
Manik Ehhsan Director of Marketing and Public Relations Manik holds a Bachelor's degree in Computer Science and has over five years of experience in Web Development, Digital Marketing and Graphics Design. He has also managed the marketing for more than 30 successful Cryptocurrency start-ups and projects, and specializes in SEO and ASO. Manik is also a Cryptocurrency project promotion expert with an emphasis on Masternodes and building Social Media Communities.
Manik has focused his life on Cryptocurrency and currently resides in Bangladesh with his loving family.
Rance Garrison Chief Marketing Officer Rance Garrison holds a bachelor's degree in Business Administration and specialized in Seminary Studies for his Master's degree. He served as an AmeriCorps VISTA at WMMT-FM, the radio station owned by Appalshop, an arts and education center in Kentucky, and has also specialized in local cable television advertising. Rance is also a musician who has released several albums independently over the last decade.
Rance is very dedicated to his local community and is most excited by the potential implications of cryptocurrencies and blockchain technology for rural and remote economies. He currently resides in the United States of America with his wife, dog, and cats.
Paul Gabens Chief Public Relations Officer A master negotiator with a penchant for strategy, Paul Gabens brings more than twenty years of marketing and promotional experience in the automotive, hospitality, and entertainment industries to the Wolfpack. He is also an avid stock and cryptocurrency trader, having first entered into the cryptocurrency market two years ago, embracing his passion for crypto with the same vigor as his love for travel, classic cars, extreme roller coasters, and surfing.
Paul holds degrees in business management, marketing, and automotive aftermarket. He currently resides in the United States with his fiancé and two cats.
Blake Stanley Marketing and Social Media Officer Blake Stanley is a cryptocurrency enthusiast who also has over six years of experience managing both government and private sector client and customer relations. A strategic thinker and expert in the field of social media-based advertising, Blake also owns and manages his own online marketing company where he has been successfully curating and implementing online marketing and advertising strategies for his clients for the past three years.
Blake is a proud father and family man and currently lives in the United States with his daughter and fiancé.
Martin Kilgore Market and Trading Analyst Martin Kilgore holds bachelor’s degrees in both accounting and mathematics, having researched Knot Theory and the Jones Polynomial during his undergraduate studies, giving him a firm edge when analyzing market conditions. He has worked as a staff accountant for several governmental organizations.
Martin lives in the United States with his fiancé.
Jonathan McDonald Chief Trading Strategy Officer Jonathan has honed his trading skills over the past five years by studying and implementing economics, financial strategy, Forex trading analysis and trading bots. Through his constant learning, he discovered Cryptocurrency after seeing the difference in market volatility and high yield trading. His fine-tuned trading strategies complement Crypto markets perfectly, and he has been implementing trading strategies to the Cryptocurrency market for over a year with phenomenal results. Jonathan is constantly improving his trading skills with an emphasis on scalping techniques. He has applied his trading skillset to the WolfpackBOT and enjoys working alongside the Wolfpack in creating the fastest trading bot on the market.
Jonathan currently resides in Canada with his supportive girlfriend and family.
Web site: https://www.wolfpackbot.com/
Technical document: https://www.wolfpackbot.com/Pdf/whitepaper_en.pdf
Bounty0x username: idrixoxo
submitted by idrixoxo2015 to u/idrixoxo2015 [link] [comments]

The XTRD Megathread

What is XTRD?

XTRD is a technology company that are introducing a new infrastructure that would allow banks, hedge funds, and large institutional traders to easily access cryptocurrency markets.
XTRD is launching three separate products in sequential stages to solve the ongoing problems caused by having so many disparate markets. Firstly a unified FIX API followed by XTRD Dark Pools and finally the XTRD Single Point of Access or SPA.
Our goal is to build trading infrastructure in the cyptospace and become one of the first full service shops in the cryptocurrency markets for large traders and funds.

What are the industry issues?

COMPLEX WEB OF EXCHANGES. A combination of differing KYC policies, means of funding, interfaces and APIs results in a fragmented patchwork of liquidity for cryptocurrencies. Trading in an automated fashion with full awareness of best pricing and current liquidity necessitates the opening and use of accounts on multiple exchanges, coding to multiple API’s, following varying funding and withdrawal procedures. Once those hurdles are cleared, market participants must convert fiat currency to BTC or ETH and then forward the ETH on to an exchange that may not accept fiat, necessitating yet another transaction to convert back to fiat. Major concerns for market participants range from unmitigated slippage and counterparty risk to hacking prevention and liquidity.
HIGH FEES. Execution costs are even more of a factor. Typical exchange commissions are in the 0.1% – 0.25% range per transaction (10 to 25 basis points), but the effective fees are much higher when taking into bid and ask spreads maintained by the exchanges. As most exchanges are unregulated, there is generally no central authority or regulator to examine internal exchange orders that separate proprietary activity from customer activity and ensure fair pricing.
THIN LIQUIDITY. A large institutional order, representing a sizable percentage of daily volume can move the market for a product, and related products in an exchange by a factor of 5-10%. That means a single order to buy $1,000,000 worth of bitcoin can cost an extra $50,000-$100,000 per transaction given a lack of liquidity if not managed correctly and executed on only one exchange. By way of comparison, similar trades on FX exchanges barely move markets a fraction of a percent; those price changes cost traders money, and deter investment.

What are the XTRD solutions?

FIX API
An API is an “Application Programming Interface”, a set of rules that computer programs use to communicate. FIX stands for “Financial Information eXchange”, the API standard used by most financial organizations as the intermediary protocol to communicate amongst disparate systems such as market data, execution, trade reporting, and order entry for the past 25 years.XTRD is fixing the problem of having 100 different APIs for 100 exchanges by creating a single FIX based API for market data and execution – the same FIX API that all current financial institutions utilize.XTRD will leverage our data center presences in DC3 Chicago and NY4 New Jersey to host FIX trading clients and reduce their trading latencies to single milliseconds, a time acceleration of 100x when it comes to execution vs internet. More infrastructure and private worldwide internet lines will be added in 2018 and beyond to enable secure, low latency execution for all XTRD clients, FIX and PRO.
XTRD PRO
XTRD PRO is a professional trading platform that will fix the basic problems with trading across crypto exchanges – the need to open multiple web pages, having to click around multiple windows, only being able to use basic order types, and not seeing all your positions, trades, and market data in one place.XTRD PRO will be standalone, downloadable, robust end-to-end encrypted software that will consolidate all market data from exchanges visually into one order book, provide a consolidated position and order view across all your exchange accounts, and enable client side orders not available on exchanges – keyboard macro shortcuts, VWAP/TWAP, shaving the bid and offer, hit through 1% of the inside, reserve orders that bid 100 but show 1, SMART order routing to best exchange and intelligent order splicing across exchanges based on execution costs net of fees, OCO and OTO, many others.
XTRD SPA
XTRD SPA is the solution to bridge cross-exchange liquidity issues. XTRD is creating Joint Venture partnerships with trusted cryptocurrency exchanges to provide clients on those exchanges execution across other exchanges where they do not have accounts by leveraging XTRD’s liquidity pools.An order placed by a client at CEX.IO, XTRD’s first JV partner, can be executed by XTRD at a different exchange where there may be a better price or higher liquidity for a digital asset. Subsequently, XTRD will deliver the position to CEX.IO and then CEX.IO will deliver the execution to the client, with XTRD acting as just another market participant at the CEX.IO exchange.XTRD does not take custody of funds, we are a technology partner with exchanges. All local exchange rules, procedures, and AML/KYC policies apply.
XTRD DARK
Institutions and large market participants who have large orders of 100 BTC or more generally must execute across multiple markets, increasing their counterparty risk, paying enormous commissions and spreads, and generally having to deal with the vagaries of the crypto space. Alternatives are OTC brokers that charge multiple percents or private peer-to-peer swaps which are difficult to effectuate unless one is deeply in the space.XTRD is launching XTRD DARK – a dark liquidity pool to trade crypto vs fiat that matches buyers and sellers of large orders, discreetly and anonymously, at a much lower cost. Liquidity is not displayed so large orders do not move thin markets as they would publicly. The liquidity will come from direct XTRD DARK participants as well as aggregation of retail order flow into block orders, XTRD’s own liquidity pools, connections with decentralized exchanges to effectuate liquidity swaps, and OTC broker order flow.XTRD is partnering with a fiat banking providebroker dealer to onboard all XTRD DARK participants for the fiat currency custody side with full KYC/AML procedures.

XTRD Tokenomics

Who is XTRD intended for?

XTRD is mainly aimed at major institutions, hedge funds, algorithmic traders who are currently unable to enter the crypto markets.
These firms include companies such as Divisa Capital run by XTRD Advisor Mushegh Tovmasyan.

XTRD Weekly Updates

Upcoming Events

AMA's

Further AMA's will be coming soon!

XTRD In The Media

Resources

More information will be added to this thread as the project develops.
We are currently looking for key community members to assist in building out this thread.
If you are interested please email [[email protected]](mailto:[email protected])
submitted by tylerbro77 to XtradeIO [link] [comments]

One Click Trading 28 Forex Currency Trading Pairs in ... Forex pairs to avoid trading + some of my best forex pairs to trade The EUR GBP and GBP CHF -- 2 of the Best Forex Pairs to ... Best Trading Forex Pairs Currency Pair Chararteristics - 28 Pairs 3 Steps to Choosing Best Currency Pairs to Trade in Forex ... Range Trading Strategy For 28 Currency Pairs AUD NZD - The Best Forex Pair To Trade - YouTube Forex Correlated Currency Pairs. - YouTube The Best Pairs To Trade In Forex

Scan all 28 Forex pairs with ONE chart... Currency Strength28 Indicators. Post # 425; Quote; Aug 23, 2016 8:38am Aug 23, 2016 8:38am silversurfer Joined Nov 2009 Status: surf the trend 306 Posts. Can you post a screen shot of the new template? Post # 426; Quote; Aug 23, 2016 8:47am Aug 23, 2016 8:47am dreambig Joined Feb 2011 Status: Member 205 Posts. Quoting Bernhard. Disliked ... No matter what your strategy, trading against the market is never going to work ! LIVE FOREX Strength / Weakness Tables 3 Strategies covering 28 Forex Pairs - The ULTIMATE WEAPON to ensure you are ALWAYS on the right side of the market ! Many of these pairs are also relatively close to where they were a year ago. So, when we look at the charts of these pairs, we shouldn’t expect to see the massive trends that many Forex traders dream of. Nevertheless, let’s analyze the daily time frames of these 3 trending currency pairs to gauge the quality of their move. EUR/JPY Forex markets can work against you as well as for you. Before deciding to trade in the foreign exchange markets you should carefully consider your investment objectives, your level of experience, and your risk appetite. The possibility exists that you could sustain a loss of some or all of your equity and therefore you should not invest money that you cannot afford to lose. Only true ... And later, I’ll uncover the pairs that are affected by changing commodity prices as well as a few of the safe haven currencies. Don’t know what those are? No problem. By the time you finish this section, you’ll be a currency guru! Major Currency Pairs. Major currency pairs are to the Forex market what Apple and Amazon are to the stock market. Similarly, all 28 pairs, including the forex major pairs, can become choppy and difficult to trade, or oscillate in wide, trade-able ranges. As a forex trader we are looking for trending pairs that we can enter a trade with, then ride the trend up and down for long cycles, but we can also do short term trades for intra-day or day trading profits using our tools and indicators. The only thing ... In this article, we will give forex traders a comprehensive guide on how to enter forex trades and manage them across 8 currencies and 28 currency pairs. We will show forex traders how to identify new or existing trends on the higher time frames, H4 and larger. We will also show traders how to assess the pip potential of each trade, give them ... Range Trading Strategy For 28 Forex Pairs . When the forex market is not trending strong up or down, you can use range trading strategies presented in this article to profitably trade the forex market. If you analyze the forex market using multiple time frame analysis, the pairs that are ranging and cycling up and down will be easy to spot, because multiple time frames analysis is so thorough ... thanks for the help but I think you misunderstood me. It is not the value for the different currency pairs I would like to show. In the EA in the first post 7 currency pairs with the USD in it is checked. If the USD is strong against the other currency then it gets a point. If it's weak 1 point is substracted. When the USD has been checked ... If you want pairs that move “smoother” (I’m using quotes a lot today, sorry), you are telling me you want pairs that don’t have as many crazy whipsaws going on with them. The less interference from the Big Banks, the less whipsaws you will likely have to deal with. You’ve been doing it backwards. As liquid as the EUR/USD is, this is the one pair I would recommend LEAST for newer ...

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One Click Trading 28 Forex Currency Trading Pairs in ...

Forex pairs to avoid trading IF you dont want to lose your money. Some of my best forex pairs to trade. See forex pairs that move fast video: https://youtu.b... Here we learn about how currencies move in opposite direction or the same direction with each other. This enables you to avoid fake out and false signals. yo... This video will explain to forex traders how to trade an oscillating or ranging market, for 28 currency pairs. Pairs that are ranging up and down between support and resistance. We trade the USD, CAD, EUR, CHF, GBP, JPY, AUD and NZD pairs, 28 total. Demo trading these pairs will help in the understanding greatly as you move towards trading more pairs and having more ... The AUD NZD is the best Forex pair to trade, and I explain why. Those who want to trade the No Nonsense Forex way need to pay close attention to this one. No... Were you even aware of this? The EUR:GBP and GBP:CHF have huge advantages over most of what others would consider to be the "best Forex pairs to trade". Watc... Share your videos with friends, family, and the world Watch this video to know More about PART2 Live $500K account and Floating Profit $125K » Initial Capital = $500K » Withdrawal = $30000 » Running Profit = $12... Pick the Most Profitable Forex Pairs to Trade Daily - Duration: 28:18. Adam Khoo 90,971 views. 28:18. Best FX Trading Strategies (THE Top Strategy for Forex Trading) - Duration: 32:00. ... The Best Pairs To Trade In Forex The secret to be a successful trader is to know what pairs to trade. Pick the Most Profitable Forex Pairs to Trade Daily Exotics move well and the spread ...

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