Articles, Library comments - page 21

Check out the new article: Neural networks made easy (Part 48): Methods for reducing overestimation of Q-function values . In the previous article, we introduced the DDPG method, which allows training models in a continuous action space. However, like other Q-learning methods, DDPG is prone to

Amazing Oscilator : A combination of data analysis from the Awesome Oscillator and the resulting direction of the candles relative to the previous range Author: Nikclay Khrushchev

New article Learn how to design a trading system by ATR has been published: In this article, we will learn a new technical tool that can be used in trading, as a continuation within the series in which we learn how to design simple trading systems. This time we will work with another popular

Keltner Channel code for beginners by William210 : Keltner Channel for traders or young developers by William210 Author: Gerard Willia G J B M Dinh Sy

Squeeze Momentum Indicator - LazyBear : Converted LazyBear Squeeze Momentum Indicator from TradingView to MQL4 Author: Lee Chee Tat

Painel simples e objetivo : Esse é um codigo bem simples a respeito de um painel de informações. Não utiliza arquivos externos ou algo do tipo! simplesmente, copie e cole no seu codigo da forma que o codigo foi escrito. O painel exibe; Ativo Preço do ativos Sua posição(Comprada ou vendida) Preço max

ATR Probability Levels: Probability levels based on ATR. "Probability" is calculated based on the projected Average True Range and previous period Close. Defaults are using daily period, but any time frame supported by MetaTrader 5 can be used. Author: Mladen Rakic

Rainbow Indicator for mt4 : This is an indicator with a rainbow-like display, both for trend or pullback prediction. Author: Peter Mueller

Swing Highs and Lows : Short description. Author: Rajesh Kumar Nait

Range Ratio : Indicator shows histogram of ratio of sum of lower time frame ranges to current timeframe bar range Author: Nikclay Khrushchev

Trailing Activate Close All : Assistant - works on the current symbol, has the 'Trailing activate if profit is >=' parameter in the trailing parameters. Sets the initial Stop Loss and Take Profit. Closes all positions when target profit is reached Author: Vladimir Karputov

iMaxMinTrends: The indicator draws horizontal lines corresponding to daily, weekly, monthly highs/lows and connects them consistently trendlines. Author: Alexey Lopatin

Check out the new article: Neural networks made easy (Part 45): Training state exploration skills . Training useful skills without an explicit reward function is one of the main challenges in hierarchical reinforcement learning. Previously, we already got acquainted with two algorithms for solving

Take Profit based on your current profit : Most EAs tend to close orders in take profit based on the distance in pips from the purchase price. However, this MQL4 code is based mainly on the current profit. Author: Luca Cerquatelli

Highs-Lows: A simple indicator that shows the high and the low of desired time frame on a current chart. Author: Mladen Rakic

Breakout Martin Gale Expert Advisor for mql4 : This is an mql5 Expert Advisor trading the breakouts and using Martin Gale risk management. Author: Peter Mueller

Equity Chart: The indicator displays the equity and balance charts. Author: transcendreamer

AllAverages v4.9 MT5 : One of the latest version of this indicator at the moment. Huge base of different modifications of moving averages, with multitimesframe function, sending signals to e-mail and push notifications. Author: IVAN ASTAFUROV

Donchian Channel for beginners by William210 : Donchian Channel for traders or young developers by William210 Author: Gerard Willia G J B M Dinh Sy

New article The ZigZag Indicator: Fresh Approach and New Solutions is published: The article examines the possibility of creating an advanced ZigZag indicator. The idea of identifying nodes is based on the use of the Envelopes indicator. We assume that we can find a certain combination of input...

New article Data Science and Machine Learning (Part 09) : The K-Nearest Neighbors Algorithm (KNN) has been published: This is a lazy algorithm that doesn't learn from the training dataset, it stores the dataset instead and acts immediately when it's given a new sample. As simple as it is, it is used

Drag and Drop Move StopLoss : Set StopLoss by just dragging and dropping script on the desired price level. Author: Chioma Obunadike

Check out the new article: Neural networks made easy (Part 42): Model procrastination, reasons and solutions . In the context of reinforcement learning, model procrastination can be caused by several reasons. The article considers some of the possible causes of model procrastination and methods for

Check out the new article: Neural networks made easy (Part 43): Mastering skills without the reward function . The problem of reinforcement learning lies in the need to define a reward function. It can be complex or difficult to formalize. To address this problem, activity-based and

Check out the new article: Developing a Replay System — Market simulation (Part 07): First improvements (II) . In the previous article, we made some fixes and added tests to our replication system to ensure the best possible stability. We also started creating and using a configuration file for this

A Tool: Horizontal Grid Plotter: Script for horizontal grid lines plotting Author: Airat Safin

A Tool: Vertical Grid Plotter: Script for vertical grid lines plotting Author: Airat Safin

TradeMo : The trade strategy is based on 2 moving averages. To confirm the trend, it uses 2 moving averages crossing and 1 candlestick formation while the moving averages are still crossed. Author: Justin A Larry

Automatic stoploss and takeprofit: Automatic set (woth confirmation) of tp ans sl calcul use buy cost it work for every trade available and for all symbol. You can change the external parameter for tp and sl. I work on a new version where you could choose sl and tp for each symbol Author: cyriac

Check out the new article: Neural networks made easy (Part 41): Hierarchical models . The article describes hierarchical training models that offer an effective approach to solving complex machine learning problems. Hierarchical models consist of several levels, each of which is responsible for