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Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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Otsi raamatukogust

3,012 dokumenti

MQL5 articles

This installment explains how to make a chart timer behave consistently in live trading and historical replay. A live timer can use the platform’s current time to count down to the next bar, but that clock does not represent replay time, which can pause or…

FutuuridTagantjärele testimineTehingute täitmine
MQL5 articles

This tutorial explains core forex mechanics: how currency pairs quote one currency against another, how standard lots specify the base-currency amount, and why trade profit is generally stated in the quote currency. It also describes how deposit currency…

ValuutaturgRiskijuhtiminePositsiooni suuruse määramine
MQL5 articles

This article introduces Multitask-Stockformer, a stock-selection framework that combines wavelet decomposition with temporal, convolutional, and graph attention components. A discrete wavelet transform separates historical asset data into low-frequency…

AktsiadMasinõpeTehnilised indikaatoridStatistika
MQL5 articles

This article describes an architecture for running multiple LLM trading agents in parallel in MetaTrader 5. Rather than pooling agent opinions into a consensus, each agent follows a distinct trading philosophy and has its own notional capital, performance…

MasinõpeTehingute täitmineTagantjärele testimineRiskijuhtimine
MQL5 articles

This article explains Bacterial Foraging Optimization (BFO), a population-based method for numerical optimization inspired by bacterial chemotaxis. Candidate solutions move through a search space using swimming and tumbling, while swarming encourages…

MasinõpeStatistikaTagantjärele testimine
MQL5 articles

This programming tutorial shows how to adapt a MetaTrader 5 Fibonacci chart object into a custom indicator-like drawing tool. It starts from a mouse-controlled trend-line example, replaces the trend object with a Fibonacci object, then assigns custom levels,…

Tehnilised indikaatoridTehingute täitmine
MQL5 articles

The article explores category-theory constructions as a way to organize correlations between currency pairs and a dollar index. It first sketches coequalizers as a possible way to combine trading-session drawdown observations into a conservative value for…

ValuutaturgStatistikaPortfelli koostamine
MQL5 articles

The article presents a MetaTrader indicator that estimates support and resistance by counting how many historical bars cross each price level. It searches the resulting price-by-count series for local minima within a configurable radius. A candidate level is…

Tehnilised indikaatoridValuutaturgStatistika
MQL5 articles

The Exchange Market Algorithm (EMA) is presented as a population-based method for numerical optimization, inspired by traders with different levels of success. It ranks candidate solutions into elite, middle, and beginner groups. The elite preserve their…

StatistikaMasinõpeTagantjärele testimine
MQL5 articles

This installment outlines a transition from embedding a multi-currency Expert Advisor’s strategy configuration in an initialization string to storing individual strategy instances in a separate database. The broader optimization workflow produces optimized…

Mitme varaklassigaTagantjärele testiminePortfelli koostamineTehingute täitmine
MQL5 articles

The article describes an MQL5 evaluation module that applies configurable prop-firm-style rules to Strategy Tester results. It scales tester balance and equity proportionally to a virtual challenge account, then tracks each attempt’s status, trading days,…

Tagantjärele testimineRiskijuhtiminePositsiooni suuruse määramineStatistika
MQL5 articles

Anton Nel describes the Expert Advisor he entered in the Automated Trading Championship 2012. It uses overbought and oversold CCI readings to enter and Heiken Ashi to exit, which he says performed better than CCI exits in his backtests. The system stays…

ValuutaturgTehnilised indikaatoridPositsiooni suuruse määramineRiskijuhtimine
MQL5 articles

The article describes a workflow for taking a calibrated machine learning model from a Python research pipeline into MetaTrader 5 for execution-aware backtesting. Python exports the ONNX model, calibrator parameters, feature specification, and combinatorial…

MasinõpeTagantjärele testimineTehingute täitmineRiskijuhtimine
MQL5 articles

This article describes two ways to move a trade's stop toward breakeven in an MQL5 expert advisor. The ATR method sets both the activation distance and the stop offset as multiples of average true range, adapting the thresholds to measured volatility instead…

RiskijuhtimineVolatiilsusTagantjärele testimineTehnilised indikaatorid
MQL5 articles

This tutorial walks through testing and optimizing a moving average expert advisor in the MetaTrader 4 Strategy Tester. The example opens positions when price crosses one moving average and closes them after a reverse cross of a second, with separate…

Tagantjärele testimineTehnilised indikaatoridValuutaturgRiskijuhtimine
MQL5 articles

The article explains how to optimize a trading system separately for rising and falling markets, then combine those parameter sets in one expert advisor. It illustrates the approach with an hourly trend strategy using the Center of Gravity OSMA indicator and…

TrendijärgimineTehnilised indikaatoridTagantjärele testimine
MQL5 articles

The article explains trailing stops as position-management tools and develops several variants. It first sets practical stop boundaries: the broker's minimum stop distance forms an outer constraint, while a break-even floor should account for commission,…

RiskijuhtiminePositsiooni suuruse määramineTagantjärele testimineStatistika
MQL5 articles

The article explores adding Python-trained deep learning models to three existing Expert Advisors based on causal network analysis, stochastic model optimal control, and Nash game theory. It describes using historical EURUSD prices to train a convolutional…

MasinõpeTagantjärele testimineValuutaturgStatistika
MQL5 articles

This article presents the setup stage for an MQL5 Expert Advisor intended to monitor prop-firm compliance. It organizes inputs for account rules, warning thresholds, news restrictions, and protective responses, then separates persistent rule settings from…

RiskijuhtimineTehingute täitmine
MQL5 articles

The article describes an Expert Advisor position-management method with two stages. First, after price moves favorably by a configured trailing distance, the stop loss advances and the take-profit level may also move. Once the stop reaches the opening price…

ValuutaturgTehnilised indikaatoridTrendijärgimineRiskijuhtimine
MQL5 articles

The article presents a computer-vision workflow for classifying market chart screenshots with a convolutional neural network. It defines buy and sell image categories around directional price moves and daily extremes, then describes collecting hourly…

MasinõpeTehnilised indikaatoridValuutaturgTagantjärele testimine
MQL5 articles

In this interview, an experienced Expert Advisor developer discusses why he builds systems that trade several currency pairs, and how their components can be organized. He contrasts a central controller that limits trading on poorly performing pairs with…

ValuutaturgMitme varaklassigaRiskijuhtiminePositsiooni suuruse määramine
MQL5 articles

The article proposes identifying possible trend reversals through “yellow” clusters formed from volume and price volatility, their rates of change, and a visualization of market data. It describes normalizing inputs to a 3–9 scale, combining volatility and…

ValuutaturgVolatiilsusKeskmise juurde naasmineTehnilised indikaatorid
MQL5 articles

This article proposes a custom MQL5 money-management class for traders whose decisions depend on recurring price patterns rather than volume accumulation. It converts price changes into a discrete sequence of up, down, or flat states. A suffix automaton…

Positsiooni suuruse määramineRiskijuhtimineMasinõpeStatistika