The most popular forum topics:
- Machine learning in trading: theory, models, practice and algo-trading 56 new comments
- [SOLVED] Installation Failed [405] 32 new comments
- Open Opposite order once sl is hit 11 new comments
Most read articles this month
How to purchase a trading robot from the MetaTrader Market and to install it?
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
In this article, we demonstrate an easy way to install MetaTrader 5 on popular Linux versions — Ubuntu and Debian. These systems are widely used on server hardware as well as on traders’ personal computers.
How to Test a Trading Robot Before Buying
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
Most downloaded source codes this month
- Buy Sell Close Manual trading EA for trading newbies [@Buy_Sell_Close] Manual trading EA for trading newbies, EA can be used in backtesting visual mode, EA can also be used in live trading. You can practice your own trading system in backtesting.
- Examples from the book "Neural networks for algorithmic trading with MQL5" The book "Neural networks in algorithmic trading with MQL5" is a comprehensive guide, covering both the theoretical foundations of artificial intelligence and neural networks and practical aspects of their application in financial trading using the MQL5 programming language.
- Trade Sessions Indicator This indicator is based on DRAW_FILLING buffers. The input parameters are absent, the TimeTradeServer(), TimeGMT() functions are used.
Bestsellers in the Market:
New publications in CodeBase
- Counter Attack Candlestick Counter attack candlestick pattern
- Dominant Candle Dominant Candle is a a two candlestick set where the wicks intersect each other but body of the candles are either gapped up, gapped down or equal
- Reverse Trades For All Symbols Script Reverses all open trades after Closure for all symbols .
- Trailing_StopLoss_for All_orders_and_symbols Trailing_StopLoss_for All_orders_and_symbols
- Simple continuous trend-following strategy for buying and selling based on predefined conditions Simple continuous trend-following strategy for buying and selling based on predefined conditions
The most downloaded free products:
Bestsellers in the Market:
Published article "Neural networks made easy (Part 67): Using past experience to solve new tasks".
In this article, we continue discussing methods for collecting data into a training set. Obviously, the learning process requires constant interaction with the environment. However, situations can be different.
The most downloaded free products:
Bestsellers in the Market:
Most read articles this week
How to purchase a trading robot from the MetaTrader Market and to install it?
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
In this article, we demonstrate an easy way to install MetaTrader 5 on popular Linux versions — Ubuntu and Debian. These systems are widely used on server hardware as well as on traders’ personal computers.
How to Test a Trading Robot Before Buying
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
Most downloaded source codes this week
- iForexSessions Highlights the Forex Market Sessions (Sydney, Tokyo, London, New York).
- Candle Time End and Spread The indicator displays the current spread and the time till closing the bar (candlestick) at the same time.
- Trade Sessions Indicator This indicator is based on DRAW_FILLING buffers. The input parameters are absent, the TimeTradeServer(), TimeGMT() functions are used.
The most popular forum topics:
- Machine learning in trading: theory, models, practice and algo-trading 60 new comments
- OrderClosePrice() or Bid/Ask? 14 new comments
- AI 2023. Meet ChatGPT. 9 new comments
The most downloaded free products:
Bestsellers in the Market:
The most downloaded free products:
Bestsellers in the Market:
The most popular forum topics:
- Machine learning in trading: theory, models, practice and algo-trading 25 new comments
- AI 2023. Meet ChatGPT. 22 new comments
- Indicators: iForexSessions 12 new comments
The most downloaded free products:
Bestsellers in the Market:
New publications in CodeBase
- Code Block for "Trailing Stop" based on current market price. (Ask / Bid) This code block loops through all opened position and do trailing based on Ask and Bid prices.
- Simple Code for Detect A "New Bar or New Candle " Received This code block detects a New Bar or a New Candle when it has received.
- Logarithmic Moving Average Logarithmic Moving Average continuously calculates the logarithmic mean of highest price and lowest price within a period.
- Harmonic Moving Average MQL5 version of harmonic moving average
- Calculate pip difference over the last N bars Bars Pips for Chart Symbol and Period selected
Published article "Build Self Optmising Expert Advisors in MQL5".
Build expert advisors that look forward and adjust themselves to any market.
The most downloaded free products:
Bestsellers in the Market:
The most popular forum topics:
Published article "Neural networks made easy (Part 66): Exploration problems in offline learning".
Models are trained offline using data from a prepared training dataset. While providing certain advantages, its negative side is that information about the environment is greatly compressed to the size of the training dataset. Which, in turn, limits the possibilities of exploration. In this article, we will consider a method that enables the filling of a training dataset with the most diverse data possible.