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 shows how an MQL5 expert advisor can incorporate overnight swap estimates into trade management. It describes reading long and short swap rates and the broker’s swap mode, converting supported modes into an estimated daily amount per lot in…
The article extends encoded candlestick frequency analysis from single bars to ordered pairs. It describes a process that classifies candles into symbols, scans consecutive overlapping pairs, counts each unique sequence, and ranks sequences by frequency…
The article develops a MetaTrader 5 Times & Trade display intended to make tape reading easier to follow than a rapidly scrolling list of transactions. It describes adapting symbol handling to access the related full-contract asset, creating a chart…
The article presents Stochastic Marginal Actor-Critic (SMAC), a reinforcement learning approach that adds latent variables to a stochastic actor policy. The latent representation is intended to make actions more expressive and exploration broader, including…
The article explains why MQL5 Strategy Tester runs may lack historical economic calendar events, leaving news filters inactive and making behavior around releases impossible to verify. Its solution is to load a curated CSV of event times, currencies,…
The article explains Williams Percent Range as a momentum oscillator scaled from zero to minus one hundred. It relates the close to the high-low range over a lookback period and gives the calculation, a worked-data example, and guidance for interpreting the…
The article presents an MQL5 Expert Advisor that reads open positions and exports their details to a self-contained HTML dashboard. On each tick, it gathers position properties such as symbol, direction, volume, entry and current prices, protective levels,…
This article explains how to integrate a compiled MQL5 History Manager library into projects through a header file containing data structures, time and filter constants, imported function declarations, and example calls. The library is presented as an…
The article describes adding a floating ribbon to an MQL5 canvas drawing layer so users can edit selected objects after placement. It replaces separate custom panels for each drawing tool with property descriptors: each entry identifies the property, its…
The article presents intrinsic time as an event-based alternative to fixed calendar sampling: a clock tick is recorded when price reverses from its latest extreme by a chosen threshold. It explains how each completed move is divided into a directional-change…
The article describes feature engineering for longer-range market forecasts by predicting the direction of a moving average rather than price directly, while also modeling when price and the average diverge. It compares logistic regression models using…
This programming tutorial explains how ASCII character codes can support basic string processing in MQL4. It demonstrates iterating through strings in forward or reverse order, retrieving and replacing characters by their zero-based positions, and displaying…
The article frames price movement through market and limit orders, spreads, stop levels, and the distinction between trending and range-bound behavior. It then builds expected-payoff equations from the probabilities and outcomes of stop-based exits and…
The article presents a multilayer perceptron as a transformation from market data to trading signals, separating the network's forward calculation from the algorithm that adjusts its weights. It discusses limitations of supervised, unsupervised, and…
This article builds and evaluates a supervised neural-network Expert Advisor that attempts to anticipate Bill Williams fractal turning points before the confirming candle appears. It describes choosing market inputs from historical OHLC movements, volume,…
The article proposes a workaround for testing a multi-symbol hedge Expert Advisor in a platform tester that cannot open orders on another symbol. Its method separates the process into data collection, simulated trading, and performance visualization. An EA…
This article turns individual candles into symbols and counts their occurrences in samples of GBPUSD and gold across hourly, 15-minute, and 5-minute charts. It describes a workflow that encodes historical bars, groups Marubozu variants together, assigns…
The article presents DiNapoli’s use of horizontal Fibonacci retracement levels as support and resistance within market swings. It focuses on the 38.2%, 50%, and 61.8% retracements for identifying correction nodes, with extensions such as 100%, 161.8%, and…
The article diagnoses a gap between a language model’s ability to classify future price direction and its ability to make profitable trades. It describes balancing upward and downward examples, building a feature set from common technical indicators, and…
The article explains how Parabolic SAR trend and reversal cues can be paired with Relative Vigor Index momentum readings to define algorithmic entry patterns. It outlines SAR flips confirmed by RVI zero-line crosses, continuation signals based on price…
The article explains the Finite Volume Elements (FVE) indicator, which assigns volume a positive, negative, or neutral direction using a price movement measure and a cutoff threshold. It sums signed volume over a lookback window and divides by total volume…
The article proposes evaluating a complex trading system by measuring its component blocks separately with shared criteria, rather than optimizing every parameter at once. It uses net profit, maximum drawdown, and the share of profitable trades to compare…
This article introduces principal component analysis (PCA) as a way to compress a dataset into fewer variables while retaining much of its variation. Its workflow standardizes variables, calculates their covariance matrix, obtains eigenvectors and…
This guide walks traders through preparing to commission an Expert Advisor (EA). It recommends evaluating a strategy before paying for automation, while accounting for repainting or delayed indicator signals, changing market conditions, and differences…