How To Predict Forex Movements IG EN

Factors to Consider When Predicting Forex Movements

Factors to Consider When Predicting Forex Movements submitted by FSMSmart to GetMoreViewsYT [link] [comments]

GOLD price today, GOLD price prediction, Forex Market overview for 2nd April

GOLD price today, GOLD price prediction, Forex Market overview for 2nd April submitted by hroob777 to technicalanalysis [link] [comments]

how to predict forex-market

If you want to know how to predict the the forex market ,you can follow the link which is given below- #forex,#currency,#trade,#tradng,#currencytrading,#foreignexchange
http://mytradeanalysis.com/forex-predictions-how-to-predic…/
submitted by my_trade_analysis to u/my_trade_analysis [link] [comments]

Forex Lightning Strategy – Can You Predict Forex Movements?

Forex Lightning Strategy – Can You Predict Forex Movements? submitted by ososru to Bitcoin4free [link] [comments]

4 Ways To Predict Forex Market Consolidation

4 Ways To Predict Forex Market Consolidation submitted by MiggyFX to MiggyFX [link] [comments]

Tips to Predict the Forex Trading Market Trends ahead of others

Tips to Predict the Forex Trading Market Trends ahead of others
Learning the ways to predict the forex trading trends helps you to make reliable strategies to win the trade ahead of others. Forex brokers like WesternFx helps you to learn these things at its best. Also, read tips to predict the Forex market trends at its best here.
Forex Trading Market Prediction Skills
submitted by wiratyut to ForextradingTips [link] [comments]

A tensorflow deep learning powered Forex prediction system

I came to this subreddit and typed tensorflow and found nothing which is quite surprising. Then I typed "deep learning" and saw 5 posts. My friend has been working on this deep learning powered tensorflow system to predict forex rates (open,close) with a 7 year window (7 years of historical data in the past) currently only for EUUSD. I know this subreddit is an algorithmic trading subreddit and is more interested in knowing signals to enter and exit trades. My system takes the open close low high as inputs and tries to predict the open and close which is a fairly straight problem. One input that everyone would love to have is news and impact of news on a given currency pair which is quite complicated and I am sure many of you have systems of that sort and capability. What inputs do you think I should account for in addition to 4 simple values?
submitted by vivzkestrel to algorithmictrading [link] [comments]

Not understanding Reinforcement Learning approach

I have read the Open AI Dota 2 paper, but I still don't understand how do they compute gradients.
The thing I do not understand, is how do they know what is the best action that the agent should have taken at a particular point in time?
In my problem, I am predicting FOREX time series. So my trading bot can buy or sell a financial asset. But how do I know which action (BUY or SELL) should the agent have taken? Because at the moment the agent is taking the action, nobody knows what is going to happen in the future. It is only after some time we discover if the action was bad or good choice. And even if we know that the action was a bad choice, we still don't know which one should have been the best action to take at that time!!! And since you don't know which is the best action, how can you compute gradient and calculate the error for that particular point in time? We don't have labeled data.... so how is gradient computed , against what output values?
submitted by nuliknol to MLQuestions [link] [comments]

Time Series Preprocessing

Time Series Preprocessing
Hey guys,
I'm working on predicting forex prices and I have time series data for several currencies for the OHLC data.
I'm aiming to try predictions using classical scikit-learn models, statsmodels(such as ARIMA) and even neural networks iteratively.
I'm not sure how I should transform the data as the raw values do not appear to be stationary using the Dickey-Fueller test.
Could you help?


ARIMA Residual Results

Green -> Forecast
submitted by astronights to learnmachinelearning [link] [comments]

Did anyone make a neural network for predicting stock prices or forex?

I've done it and I would like to discuss it with someone who has done the same so we can share our discoveries
If you find yourself in that description please DM me
submitted by Becharac to neuralnetworks [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

Worried about VGS purchase

I'm all for buying index funds long term, holding and not worrying about timing the market. This post is not about actual market timing of the underlying stocks, just about currency.
I recently bought 20k in VGS but noticed then that the AUD had dipped to around 72.5 US cents at the time I purchased- noticeable recent dip
I know that predicting forex is virtually impossible. However this is my concern - I bought VGS when the AUD was fairly low in recent history against the USD, and I am stuck with this AUD/USD ratio for my purchase.
I know the AUD may go even lower for all we know - for example to 50 cents - but historically speaking it has been within a certain range (its never been < 50us cents or significantly >$1 US), but it has spent the vast majority of the time in the last 15 years between 75-100 us cents. Is it not reasonable to say that in the next 15 years it is more likely to spend more time in the same ranges it has in the last 15 years than not? (historical data doesnt predict future but its the best indicator we have) And therefore that because I bought with a lower aud value, when it comes time to sell, I have the additional challenge of waiting for the AUD to be lower vs the US for my VGS to be worth more, I will have to struggle with that timing a lot more than someone who bought vgs say in Jan of this year when the aud was higher.
What I am saying is - I could easily sell that VGS again, take a $100 or so loss in fees/decline, and buy when the AUD is up
OR am I just a paranoid fool who needs to STFU and hold
submitted by ImportantCamel to fiaustralia [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Unathi Kwaza RT from Edward Hilton: @Unathi_Kwaza Makes perfect sense if the aim is to collapse the tourism industry and the much needed forex it brings in. I'm predicting (maybe hoping is a better word) that there will be some easing of the current repat chaos.

Unathi Kwaza RT from Edward Hilton: @Unathi_Kwaza Makes perfect sense if the aim is to collapse the tourism industry and the much needed forex it brings in. I'm predicting (maybe hoping is a better word) that there will be some easing of the current repat chaos. submitted by TweetArchiveBot to LibertyRSA [link] [comments]

Forex Forecast | Forex Prediction

Forex Forecast | Forex Prediction

https://preview.redd.it/jjzub2rqjex51.jpg?width=2000&format=pjpg&auto=webp&s=7e33a47720ca89de6ecd13ca2e9042f943c05685



If you have been in the forex market even for a little while, you have no doubt heard people say ‘trade with the trend.’ The sentiment is not just some anecdote we throw out there. There is a lot of truth in the statement, especially as it pertains to forex prediction.
In the forex forecast, identification of trends is one of the critical skills one needs to have to be successful. Patterns are not all the same; they vary. Some of them are short, intermediate, or long term. Identifying trends is highly profitable because it is how we do forex forecast.
When we come to a general trading strategy, we always encourage traders to trade with the trend. If the pattern is going up, you should proceed with caution and be attentive to the moves you make. A trend applies to more than just the general movement of the currency pairs.
submitted by TopFreeFxSignal to u/TopFreeFxSignal [link] [comments]

#Electionday is famous for #volatility but we were spotted with our predictions. Entered in #EURUSD and made a quick 32 #pips profit. Nice and easy. Want such trade ideas? Get our #signalsapp now. https://traderpulse.com/forex-trade-signals/#pricing

#Electionday is famous for #volatility but we were spotted with our predictions. Entered in #EURUSD and made a quick 32 #pips profit. Nice and easy. Want such trade ideas? Get our #signalsapp now. https://traderpulse.com/forex-trade-signals/#pricing submitted by traderpulse to u/traderpulse [link] [comments]

Time to get out of your lean phase Get the reliable forex tool which is backtested successfully for the unique strategy with which it does accurate predictions. Try it and move ahead in your forex trading. https://traderpulse.com/most-powerful-indicator-for-metatrader-range-band/#pricing

Time to get out of your lean phase Get the reliable forex tool which is backtested successfully for the unique strategy with which it does accurate predictions. Try it and move ahead in your forex trading. https://traderpulse.com/most-powerful-indicator-for-metatrader-range-band/#pricing submitted by traderpulse to u/traderpulse [link] [comments]

Bitcoin Leads Poll With Public Predicting ‘Best Performing Asset in 2020’ - Forex & Coin

Bitcoin Leads Poll With Public Predicting ‘Best Performing Asset in 2020’ - Forex & Coin submitted by recruit44 to u/recruit44 [link] [comments]

Fxtools - Forex Currency Price Prediction Software

submitted by rw1680 to u/rw1680 [link] [comments]

Fxtools - Forex Currency Price Prediction Software

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

#Shorttermtrades are hard to predict. But not for #NeuralTrader. It can predict short & #longtermmovements accurately. Here is a short-term in #AUDJPY where it predicted 97 #pips run-up. Own it now. https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/

#Shorttermtrades are hard to predict. But not for #NeuralTrader. It can predict short & #longtermmovements accurately. Here is a short-term in #AUDJPY where it predicted 97 #pips run-up. Own it now. https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/ submitted by Wetalktrade to u/Wetalktrade [link] [comments]

Logistic Regression -Forex Trading-Predicting Direction

Hi,
I have code that predicts the direction of the EUUSD. The code used a logistic regression model to predict the same day. I would like to predict the next day direction with logistic regression, but not really sure where to start. Here'a link to the code: https://pastebin.com/TFMzJ0w8 Thank in advance for any help!
submitted by cory3713 to algotrading [link] [comments]

Predict Forex : How To Predict Forex ACB FOREX PREDICTIONS - YouTube Forex Analysis. Predicting Market Movements with Lines ... Forex Trading: How To Make A Trading Prediction - YouTube Can You PREDICT The Forex Market? The Truth!

But Forex is certainly a good way to make a reasonable profit and our app can certainly help you with that. Using our analysis app, you can trade like an expert. How do I receive the analysis posted by you? Forex market predictions posted by us are sent via notifications in the app. You will receive notifications in both the web app and the mobile app and you will also hear a sound for every ... Predicting forex markets using purchase power parity. While the relative strength approach only tries to predict the direction of exchange rates, the purchase power parity (PPP) approach tries to predict what the actual exchange rate should be. PPP is based on the assumption that the price of goods and services should be equalised in different countries. The infamous Big Mac index is the best ... Using a currency exchange rate forecast can help brokers and businesses make informed decisions to help minimize risks and maximize returns. Many methods of forecasting currency exchange rates ... Forex forecast . Forex Forecast, Foreign Exchange Rate Predictions with Prognosis Chart 2020-2021 Showing 1-100 of 4,152 items. Forecast Range Filter. From % To % Filter Reset / Default. Name FX Rate 7d Forecast 3m Forecast 1y Forecast 5y Forecast Forex Rate Graph (1y) EUR/USD (EURUSD) 1.17709: Join Now! -0.865025 % ... In the ever changing business world you need to be forward thinking, if you want to have the potential to be successful. If you talk with successful Forex traders or investors in the Forex market, they will undoubtedly highlight their ability and knowledge of how to predict Forex market.This article has been prepared to help you apply your FX knowledge by predicting the changing nature of the ... Predicting how the Forex market will move is not an easy task but with the available tools and resources, traders have more opportunity to try to predict Forex movements and exchange rates. On what basis can we predict the movement of the market? Let’s find out. What is Forex? Before we proceed, we need to answer the question – what is the Forex market? Simply put, It is a global ... Predicting the Trend in Forex Market. by Amjid Afridi Apr 30, 2020 Forex trading 0 comments. Returning to predicting market movements, we acknowledge that a trader should have a thorough understanding of the factors that can affect the exchange rate movement of a currency if they wish to succeed. One of the key skills a forex trader should possess is being able to recognize patterns, as ...

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Predict Forex : How To Predict Forex

In this Forex trading vlog, I hang out in Granby and discuss whether we can actually predict the Forex market, movements, trends, and news with accuracy or not. Vlog #365. SUBSCRIBE TODAY: https ... In this channel i will be publishing regularly a videos for forex prediction with my own trading recommendations i use my unique way for scalping and this wo... If you really like my videos and find them helpful you are welcome to support my effort - https://www.patreon.com/join/JannaFX Forex trading for beginners, p... Check out the website for a FREE E-Course on valuable Forex info and the two profitable systems. Chris explains valuable information on predicting the Forex market trends. Category This video will show you How to Forecast Market Direction in Forex Trading with a LIVE EXAMPLE, showing the process step by step... ----- My Trading Pl... Innovation is Coming - http://tier1trading.com/ -------------------------------------------------------------------------------------------------------------...

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