forex trading neural network Best Forex trading ...

I think I've got an idea for a new way to train neural networks for trading in forex/crypto. Needing feedback.

I know there's a lot of posts right now on this exact subject, but I have a question I've not seen addressed in any posts so far. Before I start, yes I'm new to NNs
In all of the methods I've seen so far, people are trying to use NNs to predict future prices, and of course they're either not working at all, or they're simply outputting the price from the previous day/tick/whatever. In these cases, from what I understand in all my newbie knowledge, is that the NN is being trained based on how far away the predicted price is from the actual price.
I _THINK_ I have a new idea, in which the NN is trained based on the amount of profit a trade generates. This eliminates the possibility of the NN generating a useless idea like "just copy the last thing, it couldn't have gone too far". This is much closer to the way humans would think as well. Instead of trying to determine a future price, the bot is trying to determine whether or not right now is a good time to go long/short or not at all, and the optimal details of the trade (amount, market or limit, best accompanying stop loss order, etc..)
So what are your thoughts? I plan on trying to program this soon, but I want to do as much research as possible first.

Edit 1:
A lot of comments are saying this is the same, and that it's still just predicting future prices. I'd like to clarify why it's not:
Note: "n" is the current price. "n-1" is the previous price.
The distance between prices "n" and "n-1" are statistically always within a certain range. If you look at charts of price prediction NNs, you'll see that all of the predicted prices are basically the actual prices shifted by 1 unit of time (over-simplified, sorry). My reasoning is that the bot eventually sees the fact that the price has a maximum amount of movement from one tick to the next. Since the model is trained based on error, once it comes to this conclusion, it'll be stuck in that method, and always output "n-1".
This tells me that price prediction is the wrong way to go about the whole problem. Instead, CURRENT trade opportunities are what the NN is trying to figure out. And then, once the stop-loss order for that trade has completed, the amount of profit from that trade is used to train the model.
Unless I'm missing something, I can't see how this has anything to do with predicting future price.
submitted by Tristan401 to algotrading [link] [comments]

184$ Payment Proof - Bitero - Third Withdrawal


Processing video csx7sh48q3w51...

Join Now

Hello here I am back with the Bitero program. The team behind this project has already proven itself with a very good project this year ...
For more information, please come and see me in private ...
Their story : Bitero is a company that started from an idea, around which a team of enthusiastic visionaries has been built.
This team, made up of various investment experts, has experimented and developed new frameworks to create diversified investments with high return and high security. The most successful frameworks have been solidified and have worked (and still function) as the backbone on which this investment platform now known as Bitero was built.
This company has brought together the brightest minds from multiple fields to ensure that all their decisions and actions are always supported by experience, analysis, research and math. By combining the knowledge and experience of financial trading with the possibilities offered by Blockchain technologies.
Their team is made up of several trading experts and financial analysts who work hand in hand with their technical staff to master the possibilities offered by the Blockchain.
With each other, they share a combined experience of over two decades of asset management in Forex, stocks, stocks, bonds, futures, gold and more.
Their dedicated team of technicians, specializing in machine learning and artificial intelligence. Every day, their specialists tweak and improve their neural network algorithms to maximize their efficiency. To this extent, they plan to add further diversification to their already existing strategy to provide even higher security to their investors. The Investment Plan: In Bitcoin Only The investment package has a duration of 30 days with a daily profit of 2% on working days and 1% on Saturday Sundays. Instant withdrawals. Investors can get their initial deposit back at any time with a 10% charge during the first 30 days. Beyond these 30 days, the invested capital will be returned to you free of charge directly to your Back-Office.
Additional Information : Domain registered for 3 years SSL valid from 01 September 2020 to 03 October 2021 Unique Script
The team behind Bitero has this time tailored its investment plan to aim for the Long term ... What to make all good profits! Forward the Gains! ;)
submitted by WINZUSA to CryptoMarkets [link] [comments]

I want to know more about the theory (not coding)of deep learning,neural networks,recurrent neural networks,reinforcement learning ect. in prediction of stock/crypto prices.

Hi,i am learning python and i am still pretty much a beginner.One day if i get much better in programming i want to make a trading bot that incorporates some sort of AI.I know that it will be a bumpy road and that it won't be easy.
When i google the terms that i mentioned in the title i struggle a bit to understand the differences.Since i am pretty much a beginner i know that i wouldn't understand the code behind this things.Is there some good source that explains the theory of those subjects,but related to predicting future prices in the stock/crypto/forex market?Like with deep learning you can do this and this,with neural network you can do this and this ect.I would like to take one of those roads one day,to predict the markets...but i don't know what road would be the best for me to predict the markets.So if there was some theory behind it,maybe i would understand how different this subjects are in regards to predictiing future events.I guess you can make prediction models in all of those fields,i just don't understand their differences.
I hope i can get some help here without being overwhelmed with the new information.I need some resources that brake down this complicated things into more digestible pieces so an beginner can understand them.
Thank you
submitted by PurpleDemand to neuralnetworks [link] [comments]

Idea that needs someone that can actually program

Hello guys,
First of all, if I had this idea odds are at least 100 other people have had it too so if y'all can point me in their direction and see how they have applied it, I would be thankful. I have been getting into neural networks a lot lately, and one of my first thoughts was to use them for the forex market. The main issue I ran into, however, was how to present the data to the NN.
The thing most, if not all, examples I have read do is that they use an x number of previous candles + an indicator of some sort and maybe pairing it with another coin or some other variable to predict the next candle's closing price, or high, or low. After giving it a shot myself, it has been lackluster at best, and a complete failure at worst.
The idea I have been thinking about was the following: use the previous x candles and indicators and other pairs and whatever not to predict the next candle, but to instead predict if at some point, any point, in the future, the price will rise by a certain amount (say 100 pips), or drop by that same amount.
If we had a chart with the data for each candle (OHLC, an indicator's value, and another pair's value at that moment in time, for instance, all of which can be obtained from TradingView), and we associated with each candle a 1 if the first thing that happens at some point in the future is that it goes up by, say, 50 pips, or a 0 if the next thing that happens is that it goes down by 50 pips, then the neural network could be trained to predict based on the past if you trade on this candle, the price will go up by 50 pips in the future, in which case you enter the trade with a take-profit of 50 pips, and a SL of 50 pips, or if it will decrease by 50 pips in the future, in which case you do the opposite.
That's the idea. If anyone's done it before, I would appreciate a link to their work, and if anyone thinks this is dumb, do tell me too.
submitted by MrStealYourFrog to algotrading [link] [comments]

e-Forex Magazine | Machine learning stirs up competition in FX Algo Trading

fintech #algotrading #hedgefunds #quants #hft

e-Forex Magazine | Machine learning stirs up competition in FX Algo TradingIvy Schmerken Though capital markets firms have been adopting artificial intelligence and machine learning to train algorithms for equity trading, recently this trend has expanded to foreign exchange. Ivy Schmerken, Editorial Director at Flextrade Systems, has written widely about this topic and we asked her to revisit it for e-Forex. By crunching vast quantities of data by computer, machine learning algorithms can identify hidden patterns in past data and learn to forecast stock market returns or FX currency pairs. Large banks have been investing millions into advanced technologies such as AI and machine learning to capture a bigger share of the algo trading market.
JP Morgan developed a new algorithm dubbed DNA – or Deep Neural Network for Algo Execution to merge what a multitude of algos do into a single strategy, allowing the framework to decide how a client’s order should be executed, reported Reuters .....
Continue reading at: https://www.e-forex.net/articles/aug-2020-machine-learning-stirs-up-competition-in-fx-algo-trading.html
submitted by silahian to quant_hft [link] [comments]

Binary option prediction - Start-up BAMM

Hi everyone!BAMM is a new innovative start-up which attack the stock market with powerful weapon, which is AI. Our initial product is the Binary Options Predictor which is created to predict future of exchange rates by using Neural Networks. System is built with historical and actual exchange rates and texts from whole internet classified by Neural Network responsible for choosing articles, posts, tweets etc. that affect the exchange rates (Big Data). This processes let us create system for Binary Options Prediction. #ai #neuralnetworks #binaryoption #forex #binaryoptions #trading
Visit our website, you can sign in for free. Our product Binary Option Predictor (beta version) will be available to subscribe in close future.
https://bamm-technology.com/
submitted by Bamm-technology to binaryoption [link] [comments]

Using GA to train multilayer network

Hey guys,
what are my chances of achieving a similar success that the team of OpenAI achieved with Dota-2 robot, if instead of using such a complex system (like they used) I will just use a fixed layer network (say 4 or 5 layers) and train this network using Genetic algorithm altering weights only? (I can't do gradient descent because it would get stuck in local minima)
Now, my problem is not Dota2, I am going to use this network for forex trading, but both problems are very similar. So, instead of using some complex architecture , I could go for a fixed architecture, train it with GA, and implement it on a GPU with custom kernels (to speed up things more than if done with Tensorflow).
Lets say, I will pick a 4-layered architecture of 128 neurons in each layer, and train it for months, eventually this architecture (or any similar architecture) will converge to a working solution, right? Correct me if I am wrong, but if the solution exist, I will reach it anyway with any network architecture, it is just going to take more time. Because, I don't have the knowledge of machine learning to produce so elaborate design like OpenAI did, but a (kind of)"brute-force" solution like I am describing could work for me even if it be a bit slower, or wouldn' it? What do you think? Will GA be able to train a deep neural network?
submitted by nuliknol to MLQuestions [link] [comments]

How to normalize values with no bounds, mean or standard deviation

I am writing a feed forward neural network that uses NEAT to learn to trade in the forex market. I made another post on here asking about activation functions and I got a lot of awesome feedback, but now I am puzzling over how to normalize my input data properly for optimal performance. I have a lot of different input data and I have no good way to standardize them. Things like price data have no constant bounds or statistical data and things like account balance could be any number from 0 to infinity. I could use bounding functions like logit but I'm not sure if that is the best idea. What do you guys recommend when you have boundless inputs with no mean or stddev? and is normalization really necessary in this case? I was considering using selu as my activation function, but selu might not be the best choice in this scenario, as it requires inputs to be standardized to mean 0 stddev 1.
Thanks!
submitted by MrStashley to MLQuestions [link] [comments]

[D] How to normalize values with no bounds, mean or standard deviation

I am writing a feed forward neural network that uses NEAT to learn to trade in the forex market. I made another post on here asking about activation functions and I got a lot of awesome feedback, but now I am puzzling over how to normalize my input data properly for optimal performance. I have a lot of different input data and I have no good way to standardize them. Things like price data have no constant bounds or statistical data and things like account balance could be any number from 0 to infinity. I could use bounding functions like logit but I'm not sure if that is the best idea. What do you guys recommend when you have boundless inputs with no mean or stddev? and is normalization really necessary in this case? I was considering using selu as my activation function, but selu might not be the best choice in this scenario, as it requires inputs to be standardized to mean 0 stddev 1.
Thanks!
submitted by MrStashley to MachineLearning [link] [comments]

[D] Need advice on activation functions

I am writing a feed forward neural network that uses NEAT to learn to trade in the forex market. I've gotten a bit stuck trying to choose an activation function for my network. I am reluctant to use relu because of the dying network problem, but there are a lot of relu variations that I could consider using. I was thinking of using Leaky Relu or Relu6 (or perhaps a combination of the two) or Selu but I'm not sure which one would be best. Can anyone give me advice on which one would work best for my network or if I should just stick with normal relu or another not mentioned activation function? Also any comments or advice or critiques of the way I'm going about this would be appreciated as well. My neural net is going to be fairly shallow, with just one hidden layer to start, if that matters. I understand some activation functions work better on deeper nets and some on more shallow ones.
Thanks!
submitted by MrStashley to MachineLearning [link] [comments]

How to deal with unequal length time series data

I have been reading research papers on financial time series prediction where the researchers use neural networks to forecast the closing price of some stock by using time series of various other securities as input features in the neural network.
For different types of securities, the financial time series can easily differ in length due to the number of trading days each security has. For example, crude oil (CL: WTI) as a commodity trades on a 5-day window (Monday-Friday), whereas FOREX trades on a 7-day window (Monday-Sunday).
Given that this unevenness in the trading days can lead to the input features being unequal in length and series having trading information for days other series cannot incorporate, how does one deal with such a problem, given that:
  1. The simple feed-forward neural network takes in equal-sized input vectors
  2. Sequential models such as RNN/LSTM can take advantage of padding but at the trade-off of disrupting the original time-series
submitted by clutchking_asiimov to learnmachinelearning [link] [comments]

Credit Suisse uses neural nets to call minute-ahead forex - Risk.net

fintech #trading #algotrading #quantitative #quant

Credit Suisse uses neural nets to call minute-ahead forex Credit Suisse’s foreign exchange group is using deep learning for minute-to-minute price forecasting, harnessed by a control framework to keep the bank from taking on too much risk.
“This used to be a business where you’d just have a bunch of people in the room buying and selling currencies, and now it’s gotten to the point where AI is part of the solution,” says John Estrada, global co-head of forex spot trading at Credit Suisse.
Deep learning, also called deep neural networks, is a subset of
Continue reading at: https://www.risk.net/node/7182261
submitted by silahian to quant_hft [link] [comments]

Trading 101

Trading is the act of transferring any product, brand, good, or service from one entity or organization to another. The trade can be on same form or on money. The following are some information about trading:
submitted by Digital_Info to u/Digital_Info [link] [comments]

1broker copy guide - avoiding extreme losses

First off, let me state that I am not even close to a professional when it comes to trading. I got in a few months ago for passive income from copying 3.14fx and have come a long way since then, quadrupling my initial investment and losing half of it. I've watched traders such as cfdtrader, Lumyo, Robot, and crypto_chris lose several hundred percent after a fail from opening multiple positions. I got into 1broker to make money without monitoring it, but instead I learned a lot about trading and risk management, even profiting off several of my own trades. It's a valuable experience in itself even if you're not profiting and I wouldn't give it up for anything. If these losses are enough to make you quit, so be it. Investing comes with risks that some people can't handle. It's not free money.
https://www.dailyfx.com/calendar is the economic calendar that I use while trading. High importance events can easily trigger a 80% loss or gain depending on the direction you choose. It's highly risky to trade when someone of great importance such as Draghi or Yellen are speaking.
Even if you follow a general MAX 5% rule, you will still lose up to 16% of your account if somebody opens 4 of the same positions and they stop at 80%. Making back money is also tougher than losing it, as once you lose 16% of your account, 5% of your account is a lot less than before. Therefore, you have less capital per trade.
Also, be careful when changing your copy amount. I often see copiers saying things like "Great work, I'm upping my copy amount" and "Increased copy amount from x to x". In my opinion, increasing a copy amount should only be done when your initial amount is already low. Losses on a higher copy amount may wipe out the gains on a smaller copy amount. (-50% loss with 0.1 btc = +100% gains with 0.05 btc) Always stick to a 5% max rule unless you're feeling risky.
Then, there comes the gambling/greed phase that many new copiers often do. (Guilty of this myself). After extreme success, a copier may feel the need to upgrade their copy reward to maximize profit. Or after extreme failure, a copier may feel they need to upgrade their copy reward to make up for losses. All of these are mistakes.
1broker is not filled with market professionals. Most of us here are either self taught or complete novices. Professionals would not be sharing their trades for about $70-80 for each trade (at best). They won't be asking for copiers on other traders' profiles. They won't be using a Pikachu as their profile picture. They won't be using a broker that isn't heavily regulated and insured. They would be using their own capital to make millions off of trades.
Remember, any newbie can easily accumulate winning trades by gambling with high leverage. As long as they have around $1300 as of now, they can easily create a profile that suggests that they are a professional, when in reality they are entering at random points and exiting when a position turns into profit, rather than using technical analysis and watching economic calendars.
And even the best of traders will have their ups and downs. I've stuck with 3.14FX even when he reached -100% this month because he's had a great history on this site. I feel that he can make the money that he loses back. And even though he has doubled up on a position yesterday (not sure why, probably was extremely confident), it was a success.
Can you really trust anyone? No way! Unlike regular trading, 1broker is more unregulated. Signing up requires no personal information so any user with malicious intent can build up a steady reputation and perform an exit scam (or have a massive failure) without any reparations. Robot has no link to any social media or anything in his profile. For all we know, he could own another account that has -100%, and he is depending on luck while opening multiple positions to accumulate followers. (I just used Robot as an example, my intent is not to accuse him of multiple accounts)
Then there are potential exit scams (from a trader, not 1broker itself) that will drain a decent portion of your account. There's a reason why you have a choice to choose how many trades maximum you can copy per day. This hasn't happened yet, but it will definitely happen in the foreseeable future. Somebody will set up an order for 50 shorts and 50 longs and set the take profit and stop loss the opposite of each other. Then after closing, they'll withdraw their bitcoin never to be heard of again.
When you put your trust in a trader, you should trust them to carefully monitor a trade. Unfortunately, there's currently no way to tell if your copied trader is online or not, so you'll never know if they're in a coma and won't be back for another 6 months. My suggestion is to either take profit when you think that the conditions are correct or just trust the trader. Nobody can see the future. If you think that you'll rather close the trade before the weekend, it's your choice. If you think upcoming news will destroy the trade, feel free to close early. However, be prepared for regret if it goes up, or a great feeling that you dodged a bullet if it goes down. It's all a part of trading.
1broker's copy system is seriously flawed at the moment. Of course, there's no easy way to fix it. Why would a great trader want to share one of their trades if they're not getting much out of it? This encourages opening multiple positions to maximize copy rewards, which can result in massive losses. Robot is one of the traders exploiting this.
So how can you prevent massive losses? There's really no way. You're putting your trust in random people without an identity, who can easily be a scammer. When it comes to people like Robot, I put 1-2% of my funds because I know that he opens multiple positions. This is why I'm always sticking with 3.14FX, he established himself a long time ago and he knows what he is doing. Somebody who has been on the platform for over 3 years with several losses is preferable to an anonymous newcomer who just registered but appears to be good at trading.
Also, the percentage on 1broker is misleading. You may think "Wow, I'm going to get an 500% of my initial investment if I copy Lumyo!" In reality, you should only be using 5% max of your capital per trade. If you copied him from the beginning (I started copying at around 90%), you should have only gained 25% rather than 500%. But still, 25% of your initial investment is huge.

My opinion on several traders

vits2015: If you watched vits2015 from the beginning, you would know that their style of trading is... off. 15 positions on UK100, all short, some of them at -30% when I first saw him as a successful trader. What does that tell me about him? He can open up to 6 positions on the same trade at once, and is willing to hold them as long as possible to get a profit. (Average holding time 8 days)
gtfann: Even with recent losses, he still appears to be a decent trader. It seems that he upped his usual leverage due to the crowds of traders flocking to copy him though. Multiple positions with a lower leverage isn't really something that I like either, but I'm sticking with him for now until there's a drastic change.
vaiono: He lets his losses play out and even though he has a decent track record,it's still risky to play with. Silver is extremely volatile and due to leverage, a small move in any direction can either be a huge loss or huge gain.
Snortex: Pretty much a meme on 1broker. He acknowledges his trading style and warns his copiers. I like him as a person due to his warnings, but still wouldn't recommend copying him unless you can afford to lose a lot. Edit: After examination of his trades, I feel like he's not only gambling like his description suggests. His entries are planned out carefully (Although that has hurt him when there was a flash crash). You'll take several 80% losses but you may take several 400% gains. He seems to have a habit of chasing a trade, which can lead to multiple 80% losses. However, once the trend reverses, his profits go through the roof. When you're copying, copy for the long term! Of course, feel free to uncopy if you feel that the bottom is still far away.
noIDea: He has had bad stretches in the past, but still makes his way back. I think he's a good trader and even though he opens multiple positions, he's one of the best at setting stop losses so the risk is not as high as others who open multiple trades.
Gold_Gangsta: Name change from Crypto Chris for some reason? Be wary of multiple positions as the USDJPY fiasco shows. Seems to be doing fairly well with gold as of now.
1monk2: Multiple positions fairly often, even says that he's drunk in the description. This is gambling.
knightlife999: The description definitely shows promise. There is no proof to those claims on the site, but I feel it's safe to allocate some of your funds toward copying him with his track record.
HedgeCryFx Risk 5: Decent trader, pays attention to economic calendar as well. The only problem is that he lets losses play out to 80%
boogi: I would be wary about the higher losses, but then again, there's a good track record.
sergiomc: Seems to be decent at trading stocks. With an average holding time of 14 days and leverage of 10, you should be expecting to lose about ~3.92% of your gains to financing, which is not actually that much.
Cool Hand Luke: Low leverage trading. If you were to copy him, I would recommend only using 1% or 2% of your account max per trade if you plan on copying others as well. He's a great trader for slow steady gains, but if you're looking to get rich fast or go broke trying, this is not the guy for you.
eylemc: Quick trades with minimal profit and no losses so far. As of now, it may be too early to judge, but I think that he's somebody that might be worth copying. Edit: Seems to let losses play out to 80%. Be wary.
3.14fx: Back in the game, doing well with stocks and USDJPY recently. High leverage, but usually stops losses within a reasonable range.
SunnyNet: Small gains, huge losses. Be wary as your first copied trade could easily be a -80%.
SatoshiReport: Trading using a neural network, after looking deep into the trade history, I'm not so sure about it. Correct me if I am wrong, but the bot doesn't take into account important news and events. Edit: This bot has too many flaws to continue copying in my opinion. Even with the previous gains, it opens the same position as soon as one closes, negating the 33% stop loss AND forcing a loss due to the spread. The only thing that keeps it out of the negative is the rare 80% gains that you might find once in a while.
CryptoMessiah: The image being shown on his twitter has weird numbers on it (USDJPY at 100-103 in the matter of minutes), I think it's a simulator so it isn't actually "proved". Also, asking people to copy for "free money" is misleading as anything can go wrong in the forex market, there is no guaranteed money. I copied with a minimum 0.001 btc and will update this post if the bot proves to be successful. Edit: Tons of losses trying to get the right direction and then huge wins. I would say it's ok, but you're better off with a human capitalizing on gains. The only advantage to this bot is 24/7 hour trading.
kosanet: His description says it all. Be careful while copying, but don't be discouraged to place an amount you can afford to lose. He seems to have a great history of monitoring losses (positions never get below 20%) but it's still a new profile who clearly states that he's not a pro. May open multiple trades and trading with USDJPY a lot. His scalping strategy means that overnight fees won't be an issue. Edit: Now he's starting to be a little more risky with his trades as more copiers arrive. Be careful, he never reached liquidation at 80% yet but he could at any moment.
google: A bit late to the party, but what can I say? I honestly can't believe he accumulated 190 copiers but he seems to have faded out quickly. Golgo13 is having a fun time on all of his trades
KillerWhale: Extremely high risk with all of those multiple positions. Like google and robot, don't be fooled by performance recently and look through their whole account. People who saw the 220% recently may have missed when he was in -475% a few days ago.
SoontobeWW3: Great trader in my opinion. However, I think emotion plays a role in his trading as every huge loss is often followed by more.
APPoh: Seems to know what he's doing. However, there is a very short trading history and we're never sure. Positions can reach 50% without closing, so it's very possible that he might let losses play out to 80%.
dingo: Not much to say. Good with 1 position at a time, and even with the 80% loss last month, still ended in profit. Be careful as he might sometimes not stop a position and instead wait for it to recover and a 80% loss is huge compared to his gains.
Edit August 12: Will stop adding new traders now. Before copying someone, remember:
  1. Check their trading history, ALL OF IT. You're entrusting them with your money, you should be 100% sure.
  2. Wait until they've established themselves. Sure, you can be frustrated about potentially losing 200% profit, but it sure beats 700% losses.
I already expressed my views on Robot and 3.14FX above. Lumyo is currently inactive.
Last tip: Don't uncopy people if you feel like they can make it back. If you choose to copy someone, you're in it for the long run. Now this may contradict some of my earlier statements, but if you have somebody that you believe in, don't uncopy them after a loss. Eventually, they will make their way back up and after you see their success again, you'll be tempted to copy again. Of course, if you are copying somebody who you have no faith in, feel free to drop them. Cutting your losses short is important to learn in trading.
submitted by FCatarina to 1Broker [link] [comments]

Looking for programmers to start a team

First, who I am. I work in the financial industry as a level 2 PC support. I have a computer science and mathematics degree and have worked as a programmer for over 3 years, and PC support for over 6. I’ve been working for the last 3 months on “breaking” a platform that we used in the past to auto-trade forex so that it could trade cryptocurrencies. I currently have a system running that has been making roughly .5-1% per day since mid-January but are looking to accelerate and improve this. I also have a system that is projected to make much more but implementing a way to execute those trades on the market will require a bit of work.
The Plan. I’d like to build a team of skilled individuals but divide them into teams that won’t share work with the exception of meetings to talk about progress and if one team seriously needs help understanding something another team is doing. This will slowly go away as everyone gets vetted and works together more frequently. Each of these teams will get their part of the project that I’ve developed over the last 3 months so that they can understand and improve upon it. The only time they will have access to another part of it is when they’re working with a member of that team either through discord or some RDC (Discord, VNC, RDP, TeamViewer, Skype etc.). The reasoning for this is so that one individual can’t run off with all of our work and build their own team to do this with, as has happened to me prior.
At some point I’d like to have everyone I add to the team get well-vetted enough to do away with the segregation and have one team working together, but until I get to know everyone I bring in I need to do this for all our benefit. As of right now I have assembled a team of 5 and look to add a few more.
Stage 2 of the plan -once we have proven ourselves through a strong portfolio- is to eventually build this into a fully-fledged trading fund. I already have someone who’s passed the series 7 and series 65 exams willing to join the team.
Team Structure. Team 1 will need to be strong in coding both python and C#, strong at making things that are not intended to work together run like a clock and will be the core to our back end. All data that comes from Brokers, Google Trends, Google Analytics, Twitter, etc. will come from the back end that is built by this team. As of right now it’s run in python because 2 of the API’s I use don’t have open-API’s but have libraries already built for python. Eventually I’d like to “break” our platform even further and integrate the entire backend into it using C# so everything becomes more streamlined. (2 open spots)
Team 2 will be somewhat split into two subteams, both of which will be working solely on the platform itself. The first subteam will need to be strong and experienced traders, understanding both fundamental and technical trading. A base understanding of programming to better articulate your thoughts to your teammates is also a huge asset. (1 open spot)
The second subteam will be made up of programmers who are able to code C# and are able to understand what the non-programming oriented first half of this team are trying to tell a computer to do. This will consist of writing and testing certain correlations that they may view impactful and creating new indicators as well as re-writing parts of the platform in our favor. (1 open spot)
Team 3 will work on the machine learning. It’s important they have a strong understanding of C# and data science theory. I’d like to integrate this directly into the platform for the sake of consistency and speed. Python is also a useful language to know but is not required. They will work with team 2 short term. And will have a more self-contained project long term. (1 open spot)
What we have:
submitted by OneFinding to algotrading [link] [comments]

The era of artificial intelligence: how robots manage capital

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

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

TradeRiser Can Answer Simple and Complex Trading Questions

TradeRiser Can Answer Simple and Complex Trading Questions
Artificial Intelligence as the term is most often used today is simply put the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format. Because data is encrypted and distributed across many different computers, it enables the creation of tamper-proof, highly robust databases which can be read and updated only by those with permission.
https://preview.redd.it/lcgl0t05hid11.png?width=999&format=png&auto=webp&s=770bc5060c1d3852385a4cceb3603668b7027302

What is TradeRiser

TradeRiser is an artificially intelligent Research Assistant, that can answer simple and complex trading questions.

Market Problem

  • Motivation - Simplifying financial data analytics
  • Disrupting Human Intensive Research
  • Fewer Ideas Are Tested
  • Time-Consuming
  • Inefficiency
  • Information Overload
  • News and Events - Unstructured Data

TradeRiser Solution

  • TradeRiser's Research Assistant can immediately answer trading questions that a trader or investor has about the financial markets.
  • TradeRiser’s token mechanism will keep track and compensate financial analysts for their datasets of questions, data validation, accuracy checking, suggestions and example report creation.
  • The financial analysts can contribute in these ways to help train TradeRiser's machine learning Research Assistant, and be compensated accordingly.
  • XTI is the underlying mechanism used to facilitate this ecosystem, and provides XTI holders with direct participation in advancing our “single source of truth” questioning and answering system.

The Blockchain Features

  • Financial analysts are like freelancers or contractors, the blockchain allows TradeRiser to create smart contracts with the financial analysts for various pieces of work.
  • TradeRaiser commercial transactions and agreements will be executed automatically, it will enforce the obligations that the financial analysts have in a contract
  • It provides an automated collaborative approach for data gathering using a large diverse pool of financial analysts. The smart contract allows for the different stages of work carried out by çto be rewarded.

TradeRiser Ecosystem

https://preview.redd.it/5joo1336hid11.jpg?width=1349&format=pjpg&auto=webp&s=06df4aaf508337f91e57869423df76c5b00ffdcd

The Platform

TradeRiser has built an alpha/private beta version of the Research Assistant which focuses on:-
  • Forex
  • Commodities
  • Indices
The Platform will allow users to ask questions surrounding:-
  • The economic calendar events
  • Technical analysis
  • Correlation
  • Performance
Note:- The Current Version is alpha/private beta.
TradeRiser intends to transform this into powerful fully fledged Research Assistant that will accompany all corners of the trading and investing space. So far it has been seen by major investment banks and technology vendors, and has received a lot of positive feedback.
https://preview.redd.it/5j1p27s6hid11.jpg?width=1909&format=pjpg&auto=webp&s=f40fee3e9330b9206bf2a016a83f1c6c71f27552
https://preview.redd.it/mz6nteg7hid11.jpg?width=1918&format=pjpg&auto=webp&s=383b4812ef4aab510be15adb9997aff55233b5a7

TradeRiser Platform Features

  • Community Edition
  • Research Marketplace
  • Enterprise Edition

TradeRiser Tokens & Its Uses

A token based economy called XTI will be introduced, to incentivize researchers, for their data and contributions to the platform.
It'll be used for:-
  • Community Credibility
  • Payment Issues
  • Managing the Monetary Supply

Finally

Blockchain is best used in a distributed system where nodes are not necessarily trustworthy. Artificial Intelligence gains little from being distributed. It is best used on problems which require noticing patterns inferring rules of behavior, predicting eventual outcomes, determining underlying causes. The one use where these could come together would be in distributing the data a blockchain needs to contain.
✅Website: https://www.traderiser.com/ ✅Whitepaper: https://www.traderiser.com/sites/default/files/TradeRiser_WhitePaper.pdf
submitted by Ahmedgalal81 to CryptocurrencyICOs [link] [comments]

Invacio versus the world

British born entrepreneur William West is set to go “toe to toe” with major institutions around the world with his, one of a kind, applied artificial intelligence organisation Invacio. Created over the last 5 years William’s brainchild is far more than your average chatbot or sentiment scraper creating tech company. In point of fact it is such a powerful system that Invacio were invited to make their inaugural presentation in front of the United Nations during a UNESCAP FDI meeting in Thailand last year.
The main elements that have made the elite sit up and take notice are Invacio’s flexibility and shere data processing capabilities. When you have a system that is plugged into thousands upon thousands of data sources with the capacity to analyse and correlate everything from historical market exchange data, and live news feeds with satellite data, and social media interactions, to formulate comprehensive reports and predictions for virtually any industry on earth, it tends to make an impact when people become aware of it.
Data crunching leviathans are ten a penny, in this day and age, so what is so unique about invacio that world leaders invite them to elaborate the details in front of them? That is the secret sauce: a multi agent deep neural network that constantly learns from the data coming in and its own self created distinct datasets. A system that is aware enough of its own data requirements that it literally sourced its own hacking software to gain access to some data it really wanted to see (that got shut down immediately and new rules were implemented “no entry means no entry”).
Wealth generation and crisis management were two of the areas explored during the initial UN presentation and since then further, more detailed, discussions have continued behind closed doors.
First off the bat the sector which is going to feel the full force of Invacio, muscling its way in, is the finance sector, initially they will be putting “Agnes” into the ring. A subscription based service which monitors 2995 stocks/shares and the main forex pairs, Agnes will provide highly accurate short term price predictions to whomever pays the fees be that professionals looking to get ahead of the game or hobbyist day traders looking to put a lump sum away for their future. With accuracy levels regularly running between 92 & 98% on any given trade, with the correct type of equity management trading might just become fun again, even during downturns.
Next up will be an onslaught to capture institutional money through the application of AI directly into the hedge fund market, Aquila, Archimedes and Tomahawk are the names given to these funds. Archimedes will be a human/AI hybrid fund that applies predictions made by Agnes and actioned by a human fund manager. In a 16 week experiment, with real money, Archimedes showed growth of 79%. Tomahawk is a long term forecasting system which looks anywhere from 6 months to 2 years into the future. Aquila will be a combination of all of these with the addition of invacio’s full market oversight (all commodities, shares, indices and forex pairs)
Other markets that will feel the wrath of Invacio are, Market intelligence, communications, social networking, data provision and Global security but they are a different story altogether.
Invacio are currently undergoing an ICO (initial coin offering) in order to fund the roll out of Their various divisions. The coins sold during the sale will be directly connected to the use of Invacios products find out more here www.invest.invacio.com
submitted by InvacioOfficial to u/InvacioOfficial [link] [comments]

Experienced trader (power/oil/forex) looking for seat

Experienced trader seeking a trading position in ideally the PJM power market, but also experienced in trading ERCOT power, WTI oil, and all major forex pairs. Recently controlled as much as 20% of the PJM UTC market until a major player in the UTC market exited. Also will consider consulting / strategy / analyst roles.
Experience working with:
-Very large datasets
-Very large portfolios (with respect to capital and # of trades)
-Technical Analysis and Backtesting (invention of several new indicators)
-Analysis Techniques (regression, neural networks, decision trees)
-YesEnergy, Genscape, EnergyVelocity, EPA CEMS data, EIA 923 data, etc.
-IT skills: C#, SQL, VBA, VB.NET, Excel programming and design, SQL Server database administration, many others.
submitted by tujuggernaut to houstonjobs [link] [comments]

Genetic Algorithms vs Unsupervised learning

I have a forex trading algorithm that is performing fairly well but I don't believe is operating anywhere close to optimally. I would like to tweak certain parameters to optimize the profits of the algorithm over a certain time period.
I suppose I need to use some type of neural network(lstm seems like a good candidate) and somehow feedback the results of the decisions to reward positive behavior and penalize negative behavior. I'm not really sure how to do this however.
Does anyone know of any good resources to start learning how to do this? Maybe a Kaggle competition or just a good tutorial that is similar to what I've described?
submitted by SoNotCool to learnmachinelearning [link] [comments]

@( (Purchase) Automated Forex Tools - Forex Robots - Expert Advisors (Cheap)

)^ (Free) Automated Forex Tools - Forex Robots - Expert Advisors (Coupon Code)

[Click Here To Get More Info About Automated Forex Tools - Forex Robots - Expert Advisors]

,
Top...Expert...Advisors...(Forex...Trading...Robots.../...EAs) ,
Top...Expert...Advisors...(Forex...Trading...Robots.../...EAs) !...Get...The...First...Self...Updating...Real...Money...Trading...Robot...That...Is...Proven...To...Be...Profitable...In...Every...Market......
Neural...Networks...FX...EA !...Get...The...First...Self...Updating...Real...Money...Trading...Robot...That...Is...Proven...To...Be...Profitable...In...Every...Market......
$30...Free,...No...Deposit...Required.
FSR...EA...-...The...Best...Forex...Scalping...Robot

[Click Here To Get More Info About Automated Forex Tools - Forex Robots - Expert Advisors]

( (Purchase) Automated Forex Tools - Forex Robots - Expert Advisors (Reviews)
submitted by puffysinger21NJB to reviewyourprice [link] [comments]

)^ (Purchase) Binary Options Trading Signals Live! (Sale)

)) (Review) Binary Options Trading Signals Live! (Program)

Click Here To Get More Info About Binary Options Trading Signals Live!

BinaryOptions.com...-...Binary...Risk...Analysis...&...Options...Trading Check...out...our...comprehensive...guide...on...binary...options...reviews....Learn...how...to...get...the...most...out...of...them...before...signing...up...with...a...binary...options...broker.
100%...FREE...Binary...Options...Signals...That...Simply...Work BINARY...OPTIONS...STRATEGY...-...90%...WINS...-...Most...profitable...of...binary...options...trading...strategies......GET...BONUS......-...[Free...register...on...binary......
Free...Forex...signals......L AutoBinarySignals...is...the...next...generation...of...automated...Binary...Options...trading....ABS...is...a...unique...way...of...making...money...online...through...binary...options....Get...started...in...just...7......
Binary...Option...Robot...Review......Best...Auto...Trading...Software... abcOptions...is...an...exciting...new...binary...options...trading...platform...where...you...don't...need...to...be...an...expert...to...win...money...trading...options...on...stocks...and...currencies.
Auto...Live...Forex...Trading...Signals...Service...-...Provide...Free...... Agimat...FX...Binary...Options...60sec...and...Forex...scalping...System...with...90%...accuracy....Non-repaint...trading...Neural...Network...indicator...MT4.
Binary...Option...Robot...Review......Best...Auto...Trading...Software... binary...options...robot...90%...win-rate,...binary...options...signals,...forex...robot...250%...profit...per...month,...forex...prediction,...stock...prediction,...bitcoin...robot

Click Here To Get More Info About Binary Options Trading Signals Live!

( (Buy) Binary Options Trading Signals Live! (Sale)
submitted by kindbroker777la to pwmood72 [link] [comments]

Best Neural EA for Forex Forex Market Prediction using Neural Networks and Armax Neural Nets Trading System - Artificial Intelligence ... Deep Learning in Python  Neural Networks for Trading  Machine Learning Algorithms  Quantra Neural Networks in Tradingview p.1 Neural Networks Forex Scalping Strategy - How To Trade Using Forex Strategies

Today Neural Networks are revolutionizing the way we have been using the machines to do things. Discover in this Neural Networks For Traders Course how you too can easily use these Artificial Intelligence tools in your trading system and improve its performance manifold. Neural Networks For Traders course is focused more on currency trading and binary options trading but the concepts apply to ... How neural networks are used in forex. Unlike the traditional trading system development scenarios, neural networks use multiple data streams to produce a single output result. Any data that can be quantified can be added to the input used to make a prediction. These networks are used in a wide range of forex market prediction software. They ... Neural Networks Learn Forex Trading Strategies The latest buzz in the Forex world is neural networks, a term taken from the artificial intelligence community. In technical terms, neural networks are data analysis methods that consist of a large number of processing units that are linked together by weighted probabilities. Forex Trading using Artificial Intelligence Neural Network Within the sphere of artificial intelligence, artificial neural network (ANN) systems are basic. By basic, it means that it can do the basic functioning program —sense, reason, act and adapt. Forex and stock market day trading software. Forecast & predict with neural network pattern recognition. Automated trading with IB, FXCM & TradeStation. NeuroShell Trader and NeuroShell Day Trader charts can contain multiple chart pages, each of which references a different security. Chart pages allow you to view and trade your trading systems across many securities at the same time ... Forex Trading Strategies Installation Instructions. Neural Networks Forex Scalping Strategy is a combination of Metatrader 4 (MT4) indicator(s) and template. The essence of this forex strategy is to transform the accumulated history data and trading signals. Neural Networks Forex Scalping Strategy provides an opportunity to detect various peculiarities and patterns in price dynamics which are ... Neural networks existed a decade ago, however, their popularity is increasing as a result of big data. The technologies associated with big data such as cloud storage have rapidly increased the use of neural networks and the development of their potential. In forex trading, Neural networks have big disadvantages because can overfit very easily ...

[index] [18110] [1313] [9236] [25548] [6391] [8341] [19455] [5402] [19376] [3374]

Best Neural EA for Forex

This strategy robot I wrote in C# is using genetically evolved neural nets. It learns trading rules by itself. It's trained on 40% of data sample and validat... Crypto Trading With Neural Networks: Machine Learning & Markets - Duration: 9:16. ... Dynamic Trend Trader Forex Indicator System for Metatrader MT4 Platform - Duration: 3:58. OCM 10,788 views. 3 ... We aim to be a place where every forex traders can gain free resources about trading. -About-Neural Networks Forex Scalping Strategy Forex Strategies Forex Indicators Forex Systems-Connect With Us ... This Quantra video on Deep Learning in Python will give you an overview of a course for quants and traders to implement neural network and deep learning in financial markets. Offered by Dr. Ernest ... This is the first video in a series I'll be doing called Neural Networks in Tradingview! This first one is going to be focusing on making the MACD portion of a 3 indicator strategy, that we're ... Forex Market Prediction using Neural Networks and Armax Nielsen Castelo. Loading... Unsubscribe from Nielsen Castelo? Cancel Unsubscribe. Working... Subscribe Subscribed Unsubscribe 385. Loading ...

http://binary-optiontrade.atinstagvirpasud.tk