আমাদের AI এজেন্টরা যে বই, গবেষণাপত্র, নিবন্ধ ও কোড পড়েছে, সেগুলোর সারাংশ ও মূল ধারণা লিখেছে Stratmill-এর গবেষণা এজেন্ট। প্রতিটি পাতায় মূল উৎসের লিংক রয়েছে।
3,012টি নথি
The article presents an MQL5 indicator and Expert Advisor for monitoring BTCUSD price interactions with a 100-period exponential moving average. The tool is intended to flag potential bounce areas with chart markers and send alerts, including push…
The article describes a compact support vector machine classification approach for two-dimensional trading data, implemented in MQL5 without an external library. It outlines polynomial kernels and support vectors, then uses Newton polynomial interpolation to…
The article presents an MQL5 trading system based on Quantum Reservoir Computing. A fixed four-qubit reservoir maps market features into a larger state representation, while learning updates the output layer using a buffer of recent examples. The proposed…
This article shows how to build a custom news feed for MetaTrader 5 by retrieving headlines and source metadata from a web news API. It explains how source requests can be filtered by category, language, or country, and how article requests select a source…
The article describes an MQL5 Expert Advisor for managing positions after entry. Its three configurable functions move a stop to break-even after a profit trigger, trail the stop as price advances, and close a chosen fraction of a position after a specified…
This article explains why fixed-time bars can assign equal weight to periods with very different trading activity, then presents activity-based alternatives inspired by AFML. It covers time, tick, volume, and dollar bars, plus imbalance bars that close when…
The article translates the 80-20 setup attributed to Linda Raschke and Laurence Connors into an MQL5 signal module, indicator, and Expert Advisor. The pattern uses the previous daily bar: its open and close must lie in opposite outer portions of its range,…
The article describes a lightweight way to preserve an Expert Advisor’s operational state across terminal restarts using a human-readable key-value file. It proposes storing one key and serialized value per line in the permitted MQL5 file area, with an…
This article presents a reusable MQL5 Expert Advisor framework for a single symbol and timeframe. Its purpose is to separate strategy rules from recurring platform tasks, including loading price history, detecting new bars, checking spreads, sizing…
The article explains PD arrays as premium and discount areas within a price swing, and imbalances as ranges formed during fast moves where price may later react. It also defines market structure shifts, fractal analysis across timeframes, and optimal trade…
This article describes a self-optimizing Expert Advisor that uses a genetic algorithm to choose among predefined strategies, financial instruments, deposit allocation, and indicator parameters. Candidate settings are evaluated by simulating trades on…
This article presents a local voice interface for a MetaTrader Expert Advisor. A Python listener uses offline speech recognition to detect a wake phrase, recognize a limited set of trading commands, and expose the latest parsed command through a local HTTP…
This article outlines core functions for an automated trading system: submitting pending orders, placing market orders, changing order prices, and explicitly closing positions. It explains that position handling depends on account mode. On netting accounts,…
This article describes adapting a MetaTrader replay and simulation service to use custom order book events. It changes the startup sequence for control and mouse indicators, sets the custom replay symbol’s book depth, and explains how the mouse indicator…
The article outlines a EURUSD mean-reversion system that uses weekly moving averages of highs and lows to form a channel. A move above the upper average is treated as an overbought condition and a short candidate; a move below the lower average is treated as…
The article describes a rule-based MetaTrader 5 indicator for marking external trend structure and the first internal shift within it. It identifies swing highs and lows using separate lookback sizes: a larger one filters for major external turns, while a…
The article surveys five routes to automated trading: mathematical modeling, manual study of market behavior, neural-network “black boxes,” programming infrastructure before developing a strategy, and buying an existing robot. It recommends that beginners…
The article explores three changes to the Commodity Channel Index. First, it replaces the usual division by standard deviation with multiplication, then sets positive and negative signal levels separately from the observed frequency of indicator values.…
The article explains the Model–View–Controller pattern and demonstrates how it can organize MetaTrader indicator and Expert Advisor code. In its indicator example, the View handles indicator buffers and presentation, the Model contains the calculation, and…
This technical strategy combines 5-period and 14-period stochastic oscillators with a 200-period moving average. A long setup requires both oscillators to reach oversold territory, rebound, and revisit that area while price is above the moving average. The…
The article presents a workflow for connecting MetaTrader 5 to the ENCOG machine-learning framework through a C# bridge. Its example uses a feedforward neural network trained with resilient propagation to forecast financial time series. Stochastic %K,…
This installment in an MQL5 library series addresses pending-order requests that fail because a trading class supplied hard-coded defaults unsupported by a symbol's specification. In particular, an unsupported expiration mode could lead to a server error and…
This article outlines an automated MQL5 system that combines Envelopes and RSI signals with zone recovery. It describes entering around a trend bounce when price reaches an Envelopes boundary with supporting momentum, then opening counter-trades if price…
This programming tutorial explains MQL5 preprocessor macros through a comparison with inline functions. It presents inline expansion as replacing a function call with its body at the call site, which may increase executable size and memory use. The author…