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
The article presents a Frames Analyzer for reviewing strategy tester optimization results. It displays balance curves and ranks parameter sets by measures including profit, trade count, drawdown, and recovery factor. Its central feature identifies intervals…
The article introduces Harmony Search (HS), a metaheuristic that maps candidate solutions to musical harmonies and parameters to notes. It maintains a memory of candidate vectors and creates new candidates by choosing parameter values from memory, adjusting…
The article explains the Artificial Algae Algorithm (AAA), a population-based metaheuristic in which each algae colony represents a candidate solution. It describes three mechanisms: spiral movement explores the search space, an evolutionary step transfers a…
This tutorial builds intuition for fitting a straight line to a set of points by visualizing the distance between each point and a candidate line. It first corrects an indexing issue in example code that swaps coordinate values, then varies the line’s angle…
The article presents Mamba4Cast as a time-series encoder within an Actor-Director-Critic trading agent. Its described encoder processes market features, applies normalization with noise, adds hourly and daily time embeddings, uses multi-window convolutions…
The article explains Online Decision Transformer (ODT), an approach that fine-tunes a Decision Transformer through ongoing interaction with an environment. It reviews how the base model conditions actions on recent states, actions, and return-to-go values,…
This tutorial explains how MQL4 scripts and indicators create, modify, and delete chart objects. It walks through object creation using coordinates and types, setting visual properties such as color, width, and style, and checking return values and error…
The article describes an MQL5 Expert Advisor that represents chart swing highs and lows as graph nodes. It detects swings by comparing each bar with neighboring bars, assigns price-distance weights to paths between swings, then applies Dijkstra’s…
The article describes a MetaTrader expert advisor framework with separate scalping and swing modes across a configurable list of instruments. Its proposed scalp logic uses short timeframes, fast and slow exponential moving averages, RSI filters, and…
This article presents a reusable function library for MQL4 Expert Advisors. Its order-opening functions support stop-loss and take-profit levels specified either as distances from entry or as absolute chart prices. Separate function variants address brokers…
This article describes updates to an object-oriented Expert Advisor framework. It introduces CUnIndicator, a general interface for accessing built-in and custom indicators without writing a separate wrapper class for every indicator. The article contrasts…
This installment explains why a replay system designed around traded-price data can produce incorrect charts and indicators when used with forex or other Bid-based markets. In the described data, tick volume can remain zero because it is tied to changes in…