Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
3,012 documents
This essay challenges technical analysis for treating chart patterns and indicators as if they had the same meaning across markets. The author argues that equities, commodities, and foreign exchange have distinct trading structures and characteristic price…
The article extends an MQL5 portfolio dashboard with strategy-level drawdown tracking, threshold alerts, protective actions, trade exports, and an asynchronous AI review. Its heatmap calculation processes trades chronologically for each strategy, tracks…
This article proposes a Market DNA Passport: a summary of historical price behavior intended to help compare currency pairs and detect shifts in their market regimes. Its metrics cover candle shapes and closing locations, ATR-normalized volatility, spike…
This article reviews classic and hidden divergence as ways to compare price swings with changes in an oscillator. Classic divergence—where price makes a new extreme that the indicator does not match—is presented as a possible warning of a weakening move.…
This article explains how to build an informational trading report inside MetaTrader 5 using MQL5 Standard Library classes. The proposed indicator runs in a separate chart window and presents a balance chart, trading statistics, and a pie chart showing an…
This article describes an MQL5 graphical application for inspecting strategy optimization results through tester frames. It collects and displays multiple balance curves alongside optimization results, parameter values, and summary statistics. Users can…
This article develops a framework for comparing several trading strategies and potentially selecting among them over time. It introduces object-oriented MQL5 classes with a shared parent interface for updating indicators and generating buy and sell signals,…
The article describes the Camel Algorithm, a population-based optimizer inspired by camel movement and survival in desert conditions. Each candidate solution is treated as a camel, and search behavior is shaped by randomized temperature, declining supplies,…
This article explains how bar timestamps can create look-ahead bias in financial machine-learning datasets. MetaTrader 5 time bars are labeled with their opening time, although their high, low, close, and other completed-bar features are only known later.…
The article explains MSFformer, a transformer architecture for time-series forecasting that combines multi-scale feature extraction with pyramidal attention. Its Coarser-Scale Construction Module (CSCM) uses successive feature-convolution blocks to build…
This article explains how to turn visual reversal formations, especially multiple tops and related bottom patterns, into explicit rules that software can evaluate bar by bar. It discusses shared pattern components such as extrema, trend and neck lines,…
The article defines upper and lower fractals as local extrema formed by a five-bar structure, then describes plotting the latest fractal prices as horizontal levels. It treats a move beyond a fractal as a possible continuation signal and uses the…
This article presents a reusable expert advisor design for trading indicators that mark entry or exit signals on a chart. It uses an ASCtrend example: the advisor reads upper and lower indicator buffers on a selected timeframe and bar, then maps those…
This article describes a MetaTrader 5 expert advisor that presents several market analyses through a button-driven panel. The listed views cover recent highs and lows, volume, trend, volatility, moving averages, and support and resistance. The interface is…
This article demonstrates a graphical method for changing an indicator’s external parameters directly on a chart. Using the standard ZigZag indicator as an example, it displays three selectable values for each of its depth, deviation, and backstep settings,…
This article describes practical validation checks for automated trading products before publication. It recommends using the platform strategy tester, reviewing error logs, and repeating tests across instruments, timeframes, parameter settings, and account…
This article proposes a self-adapting strategy based on the observed tendency for bullish and bearish candles to occur in roughly equal numbers over large samples. It presents counts from selected forex, equity, and other market data across several…
This article outlines the first part of a reusable MetaTrader toolkit for manual chart analysis. The author favors drawing trend lines and related structures directly on charts, and proposes keyboard shortcuts for common tasks such as adding lines, switching…
The article extends a MetaTrader 5 chart display that already shows upcoming economic-calendar events by adding headlines from an external financial-news API. It uses Alpha Vantage as the example provider, explains API keys, HTTP requests, JSON responses,…
The article presents the Big Bang–Big Crunch algorithm, a population-based method for searching a bounded parameter space. It begins with random candidate points, then repeatedly computes a fitness-weighted center and samples new candidates around it.…
This article explains how to organize a MetaTrader Expert Advisor as a set of independent modules coordinated through lifecycle handlers. It recommends initializing components in OnInit, placing strategy decisions and module communication in OnTick, and…
The article describes building a deep belief network initialized with stacked restricted Boltzmann machines, then fine-tuning it with labeled data. For EURUSD on a 30-minute timeframe, it constructs inputs from technical indicators and predicts directional…
The article introduces the Artificial Bee Hive Algorithm as a population-based method for continuous optimization. It maps candidate solutions to food sources and objective-function values to source quality. Agents take on novice, experienced, search, or…
The article presents a research workflow for turning a market hypothesis into a trading strategy. It uses block charts to examine whether price moves tend to continue rather than reverse, comparing observed movement distributions with a reference process…