Applying the Monte Carlo method for optimizing trading strategies
Before launching a robot on a trading account, we usually test and optimize it on quotes history. However, a reasonable question arises: how can past results help us in the future? The article...
How to analyze the trades of the Signal selected in the chart
The trade Signals service develops in leaps and bounds. Trusting our funds to a signal provider, we would like to minimize the risk of losing our deposit. So how to puzzle out in this forest of trade...
Social Trading. Can a profitable signal be made even better?
Most subscribers choose a trade signal by the beauty of the balance curve and by the number of subscribers. This is why many today's providers care of beautiful statistics rather than of real signal...
Processing optimization results using the graphical interface
This is a continuation of the idea of processing and analysis of optimization results. This time, our purpose is to select the 100 best optimization results and display them in a GUI table. The user...
Visualizing trading strategy optimization in MetaTrader 5
The article implements an MQL application with a graphical interface for extended visualization of the optimization process. The graphical interface applies the last version of EasyAndFast library....
Money Management by Vince. Implementation as a module for MQL5 Wizard
The article is based on 'The Mathematics of Money Management' by Ralph Vince. It provides the description of empirical and parametric methods used for finding the optimal size of a trading lot. Also...
Controlled optimization: Simulated annealing
The Strategy Tester in the MetaTrader 5 trading platform provides only two optimization options: complete search of parameters and genetic algorithm. This article proposes a new method for optimizing...
How to reduce trader's risks
Trading in financial markets is associated with a whole range of risks that should be taken into account in the algorithms of trading systems. Reducing such risks is the most important task to make a...
Risk Evaluation in the Sequence of Deals with One Asset. Continued
The article develops the ideas proposed in the previous part and considers them further. It describes the problems of yield distributions, plotting and studying statistical regularities.
Night trading during the Asian session: How to stay profitable
The article deals with the concept of night trading, as well as trading strategies and their implementation in MQL5. We perform tests and make appropriate conclusions.
Creating a new trading strategy using a technology of resolving entries into indicators
The article suggests a technology helping everyone to create custom trading strategies by assembling an individual indicator set, as well as to develop custom market entry signals.
Resolving entries into indicators
Different situations happen in trader’s life. Often, the history of successful trades allows us to restore a strategy, while looking at a loss history we try to develop and improve it. In both cases,...
Comparing different types of moving averages in trading
This article deals with seven types of moving averages (MA) and a trading strategy to work with them. We also test and compare various MAs at a single trading strategy and evaluate the efficiency of...
Mini Market Emulator or Manual Strategy Tester
Mini Market Emulator is an indicator designed for partial emulation of work in the terminal. Presumably, it can be used to test "manual" strategies of market analysis and trading.
A New Approach to Interpreting Classical and Hidden Divergence
The article considers the classical method for divergence construction and provides an additional divergence interpretation method. A trading strategy was developed based on this new interpretation...
Optimizing a strategy using balance graph and comparing results with "Balance + max Sharpe Ratio" criterion
In this article, we consider yet another custom trading strategy optimization criterion based on the balance graph analysis. The linear regression is calculated using the function from the ALGLIB...
Risk Evaluation in the Sequence of Deals with One Asset
This article describes the use of methods of the theory of probability and mathematical statistics in the analysis of trading systems.
Deep Neural Networks (Part III). Sample selection and dimensionality reduction
This article is a continuation of the series of articles about deep neural networks. Here we will consider selecting samples (removing noise), reducing the dimensionality of input data and dividing...
Deep Neural Networks (Part II). Working out and selecting predictors
The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model.
Custom Walk Forward optimization in MetaTrader 5
The article deals with the approaches enabling accurate simulation of walk forward optimization using the built-in tester and auxiliary libraries implemented in MQL.
Deep Neural Networks (Part I). Preparing Data
This series of articles continues exploring deep neural networks (DNN), which are used in many application areas including trading. Here new dimensions of this theme will be explored along with...
Naive Bayes classifier for signals of a set of indicators
The article analyzes the application of the Bayes' formula for increasing the reliability of trading systems by means of using signals from multiple independent indicators. Theoretical calculations...
Sorting methods and their visualization using MQL5
The Graphic.mqh library has been designed to work with graphics in MQL5. The article provides an example of its practical application and explains the idea of sorting. The general concept of sorting...
Forecasting market movements using the Bayesian classification and indicators based on Singular Spectrum Analysis
The article considers the ideology and methodology of building a recommendatory system for time-efficient trading by combining the capabilities of forecasting with the singular spectrum analysis (SSA)...
DiNapoli trading system
The article describes the Fibo levels-based trading system developed by Joe DiNapoli. The idea behind the system and the main concepts are explained, as well as a simple indicator is provided as an...
Analyzing Balance/Equity graphs by symbols and EAs' ORDER_MAGIC
With the introduction of hedging, MetaTrader 5 provides an excellent opportunity to trade several Expert Advisors on a single trading account simultaneously. When one strategy is profitable, while the...
Calculating the Hurst exponent
The article thoroughly explains the idea behind the Hurst exponent, as well as the meaning of its values and the calculation algorithm. A number of financial market segments are analyzed and the...
Visualize this! MQL5 graphics library similar to 'plot' of R language
When studying trading logic, visual representation in the form of graphs is of great importance. A number of programming languages popular among the scientific community (such as R and Python) feature...
Statistical distributions in the form of histograms without indicator buffers and arrays
The article discusses the possibility of plotting statistical distribution histograms of market conditions with the help of the graphical memory meaning no indicator buffers and arrays are applied....
Statistical Distributions in MQL5 - taking the best of R and making it faster
The functions for working with the basic statistical distributions implemented in the R language are considered. Those include the Cauchy, Weibull, normal, log-normal, logistic, exponential, uniform,...
The Easy Way to Evaluate a Signal: Trading Activity, Drawdown/Load and MFE/MAE Distribution Charts
Subscribers often search for an appropriate signal by analyzing the total growth on the signal provider's account, which is not a bad idea. However, it is also important to analyze potential risks of...
Self-optimization of EA: Evolutionary and genetic algorithms
This article covers the main principles set fourth in evolutionary algorithms, their variety and features. We will conduct an experiment with a simple Expert Advisor used as an example to show how our...
Self-organizing feature maps (Kohonen maps) - revisiting the subject
This article describes techniques of operating with Kohonen maps. The subject will be of interest to both market researchers with basic level of programing in MQL4 and MQL5 and experienced programmers...
Evaluation and selection of variables for machine learning models
This article focuses on specifics of choice, preconditioning and evaluation of the input variables (predictors) for use in machine learning models. New approaches and opportunities of deep predictor...
An Introduction to Fuzzy Logic
Fuzzy logic expands our boundaries of mathematical logic and set theory. This article reveals the basic principles of fuzzy logic as well as describes two fuzzy inference systems using Mamdani-type...
Tips for Selecting a Trading Signal to Subscribe. Step-By-Step Guide
This step-by-step guide is dedicated to the Signals service, examination of trading signals, a system approach to the search of a required signal which would satisfy criteria of profitability, risk,...
Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal API, Part 2
This article describes a new approach to hedging of positions and draws the line in the debates between users of MetaTrader 4 and MetaTrader 5 about this matter. It is a continuation of the first part...
Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1
This article describes a new approach to hedging of positions and draws the line in the debates between users of MetaTrader 4 and MetaTrader 5 about this matter. The algorithms making such hedging...
Trader's Statistical Cookbook: Hypotheses
This article considers hypothesis - one of the basic ideas of mathematical statistics. Various hypotheses are examined and verified through examples using methods of mathematical statistics. The...
Third Generation Neural Networks: Deep Networks
This article is dedicated to a new and perspective direction in machine learning - deep learning or, to be precise, deep neural networks. This is a brief review of second generation neural networks,...