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Ieškoti bibliotekoje

3,012 dokumentų

MQL5 articles

This installment in a multi-currency EA series extends virtual position handling to pending buy and sell limit and stop orders. It proposes representing pending orders and positions with one class: when market price reaches an order’s trigger, the object…

Kelių turto klasiųPavedimų vykdymasIstorinis testavimasRizikos valdymas
MQL5 articles

This article explains how to use Parabolic SAR values as candidate Stop Loss levels in an EA’s trailing-stop logic. The indicator is created with configurable timeframe and parameters; its value, typically read from a completed bar, is passed to a trailing…

Techniniai rodikliaiPrekyba pagal tendencijąRizikos valdymasPavedimų vykdymas
MQL5 articles

This article describes extending a manual MetaTrader EA so it can show chart lines for potential order limits while a trader positions an order with the mouse. It introduces a C_Terminal class to centralize shared terminal-related behavior and reduce…

Pavedimų vykdymas
MQL5 articles

This article describes a neural-network trading workflow using Python, TensorFlow, and Keras, with MQL5 scripts supplying historical prices and indicator data. The system separates buy and sell examples and uses two networks for each direction: one learns to…

Mašininis mokymasisTechniniai rodikliaiValiutų rinkaIstorinis testavimas
MQL5 articles

The article explains SAC+DICE, an off-policy reinforcement learning approach that combines optimistic exploration with correction for the mismatch between replay-buffer samples and the current policy. It motivates the method by noting that conservative…

Mašininis mokymasisStatistikaIstorinis testavimas
MQL5 articles

This practical guide expands an MQL5 EX5 library for managing open positions and shows how to import it into other programs. It explains import declarations, function prototypes, library naming, and common runtime failures caused by mismatched paths or…

Pavedimų vykdymasRizikos valdymas
MQL5 articles

The article concludes a series on GinAR, a neural architecture for noisy financial time series. Its cells combine contextual attention, adaptive graph processing, recurrent state, and separate forget and reset controls. Multiple layers process a sequence,…

Mašininis mokymasisStatistikaIstorinis testavimasKelių turto klasių
MQL5 articles

This article explains how to build a chart dashboard in MQL5 with the CCanvas library. It describes a graph panel for recent closing prices and an optional statistics panel for account balance, equity, and current-bar open, high, low, and close values. The…

Pavedimų vykdymas
MQL5 articles

This article sketches an experimental approach to market analysis using Qiskit and MetaTrader 5. It describes encoding price movements into quantum circuits, applying quantum phase estimation, and combining quantum methods with classical probability and…

Mašininis mokymasisStatistika
MQL5 articles

The document introduces DUET, a neural forecasting framework for multivariate time series that clusters information along both time and variable channels. Its Temporal Clustering Module groups temporal patterns and uses a mixture of encoders with noisy…

Mašininis mokymasisStatistika
MQL5 articles

This tutorial describes moving a small financial language model training example from CPU to GPU, with emphasis on preparing AMD hardware for ROCm. It recommends Ubuntu because the article reports that ROCm-enabled PyTorch was not available for Windows or…

Mašininis mokymasis
MQL5 articles

This article describes an MQL5 expert advisor that calculates Fibonacci retracement levels from daily candle ranges or a configurable lookback array. It derives a bullish or bearish setup from candle direction and can enter when price crosses selected custom…

Valiutų rinkaTechniniai rodikliaiIstorinis testavimasRizikos valdymas
MQL5 articles

This article explains bidirectional piecewise linear representation (BPLR), a way to compress a time series into line segments while retaining its broad shape. For anomaly detection, the described method divides cyclic data into non-overlapping subsequences,…

Mašininis mokymasisStatistika
MQL5 articles

This article introduces support vector machines as supervised classifiers that map labeled input examples into a feature space and determine a boundary separating two categories. It uses a two-dimensional diagram explanation and a hypothetical…

Mašininis mokymasisStatistika
MQL5 articles

This tutorial walks through setting up Python for use with MetaTrader 5, implementing a perceptron and a multilayer perceptron, and connecting Python workflows with MQL5. It explains network initialization, forward propagation, sigmoid activation,…

Mašininis mokymasisStatistika
MQL5 articles

The article turns a visual flag-pattern detector into a signal source for an MQL5 Expert Advisor. Instead of asking the EA to interpret chart drawings, the indicator publishes buy and sell breakout values through dedicated buffers and records the flagpole…

PramušimasTechniniai rodikliaiPavedimų vykdymasRizikos valdymas
MQL5 articles

This article tests overbought and oversold breakouts in a combined Williams Percent Range indicator built from the two currency baskets in a pair. The method compares each currency’s strength, seeks a threshold crossing in the combined reading, and enters on…

Valiutų rinkaGrįžimas prie vidurkioPramušimasTechniniai rodikliai
MQL5 articles

The article applies category-theory naturality squares to classify price-change data across three linked currency pairs. USDJPY forms the source series, while EURJPY and EURUSD form the paired destination series. The proposed construction connects their…

Valiutų rinkaArbitražasMašininis mokymasisStatistika
MQL5 articles

The article explains how MQL5 indicators use data buffers and color-index buffers to assign different colors to individual plotted values. It distinguishes the number of plots from the number of buffers, describes static and dynamic color configuration, and…

Techniniai rodikliai
MQL5 articles

The article outlines an Expert Advisor that detects local swing highs and lows from recent bars, then uses alternating swing states to trigger buy or sell orders. Inputs set minimum swing confirmation and distance, whether trade levels use candle wicks or…

Techniniai rodikliaiPrekyba pagal tendencijąRizikos valdymas
MQL5 articles

This article explains how to implement custom candlestick displays in MQL5, progressing from a single-color plot to candles whose colors encode a trading rule. It describes the four price buffers needed for open, high, low, and close values, and shows how…

Techniniai rodikliai
MQL5 articles

The article describes a three-part pipeline for observing live MetaTrader 5 strategies: an MQL5 exporter buffers metric rows, daily CSV files hold the stream, and a Python daemon tails the active file to update rolling summaries and log anomalies. It…

Pavedimų vykdymasStatistikaRizikos valdymas
MQL5 articles

This article describes an MQL5 Expert Advisor that gathers several technical indicator readings into a chart-based dashboard. It groups tools into trend, momentum, and volatility categories, using moving averages and ADX for trend context, oscillators and…

Techniniai rodikliaiPrekyba pagal tendencijąImpulsasKintamumas
MQL5 articles

The article explains how to construct a Three Line Break chart from closing prices without using equal time intervals to determine each new line. A line extends the current direction when price exceeds the prior extreme; a reversal requires price to cross a…

Techniniai rodikliaiPrekyba pagal tendencijąValiutų rinka