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.
4,574 documents
The article describes a MetaTrader analysis tool that combines price action with Bollinger Bands, the Relative Strength Index, and Average True Range. Its example signal logic considers a sell when RSI is above the stated overbought threshold and price is…
The article presents a manual-trading risk manager for MetaTrader that monitors daily, weekly, and monthly loss limits, with an optional daily profit target. When a limit is reached, the tool closes open positions and displays a warning; because it is…
The article presents a preprocessing method for training an LSTM to forecast intraday currency prices. It encodes clock time as a fraction of the day and scales each day’s open, high, low, and close relative to the expanding intraday low and high. These…
This article modifies a Bollinger Band trading system by using logistic regression to estimate trade confidence and vary position size. The underlying rules sell when price moves above the upper band and buy when it falls below the lower band, with…
The article explains volume as a market activity measure, noting that Forex platforms commonly show tick volume while exchange-traded instruments can report traded quantity. It presents simple ways to interpret volume: compare the current reading with the…
The article outlines an MQL5 Expert Advisor that trades moving average crossovers and periodically searches for better fast and slow periods. It proposes testing parameter combinations over fixed ranges, skipping pairs where the slow average is not longer,…
The article introduces multiple regression as a way to estimate how several explanatory variables relate to a market outcome, first using a non-financial example and then applying the method to EURUSD. It describes compiling historical US economic-calendar…
The article describes a cross-market trading framework using silver quoted in US dollars and euros alongside EURUSD. It reasons that currency movements should affect the two silver quotations differently, then looks for aligned price behavior across all…
This article demonstrates a basic CatBoost workflow for building a directional trading classifier. It derives lagged features from deviations of closing prices from a moving average, then assigns buy or sell labels according to whether price rises or falls…
This article presents a rule-based breakout framework that looks for directional pressure within a consolidation before price crosses its boundary. It first identifies alternating swing highs and lows with fractals, then qualifies a range using its duration,…
The article turns a liquidity-zone idea into rules for an MQL5 Expert Advisor. It treats a compact base candle as a liquidity structure and looks for a larger impulse candle in the same direction. If the range ratio and directional conditions pass, the EA…
The interview describes Juan Pablo Alonso Escobar’s automated EURUSD strategy, developed for the 2012 Automated Trading Championship. It identifies exhausted short-term moves with technical indicators and enters against them. He selected indicators,…
This article proposes training a machine learning model to choose between buy and sell grids. Instead of labeling examples from the direction of a single position over a future horizon, it simulates a grid across that price window and labels the side using…
The article presents an MQL5 strategy based on Candle Range Theory’s accumulation, manipulation, and distribution phases. It defines an accumulation range from a candle on a chosen timeframe, then treats a breach beyond the range as potential manipulation.…
The article explains why an automated strategy needs to distinguish broker server time from UTC and account for daylight saving time when it trades around market sessions. A one-hour server-clock shift can change which broker-time hour corresponds to a…
The article proposes linking weather in agricultural regions to related currency pairs: Australian conditions with AUDUSD, New Zealand conditions with NZDUSD, and Canadian prairie conditions with USDCAD. It describes collecting historical weather and quote…
The article describes a Forex system based on Chuvashov’s Fork, a pattern drawn from recent fractals. A main trend line uses two neighboring fractals, and a third helps form a lateral line; a break of that lateral line signals a possible trade against the…
The article explores combining Bollinger Bands with RSI to find mean-reversion trades. The baseline rules consider longs after price falls below the lower band with RSI oversold, and shorts after price rises above the upper band with RSI overbought. The…
The article compares fixed-lot sizing with two balance-linked approaches: position size proportional to account balance, and size proportional to its square root. It uses a single EURUSD Expert Advisor, left at default strategy settings, to illustrate how…
The article describes a simple way to estimate potential support and resistance levels by counting how many historical bars span each price. A script scans prices from the lowest low to the highest high across a selected history window, increments a count…
The article examines how common technical-analysis representations affect the information a trader sees. It explains that a simple moving average has a delay tied to its smoothing period. Shifting the plotted values can compensate for that delay, but leaves…
This article outlines a workflow for adapting a pretrained language model to produce outputs aligned with a trading strategy, with foreign exchange pairs as the intended application. It explains why fine-tuning can be useful after general pretraining and…
This article presents a strategy concept for forecasting GBP/USD with conventional market features and alternative macroeconomic data from the Federal Reserve Bank of St. Louis FRED database. The proposed inputs include a British sterling overnight-market…
This article outlines a pipeline for training a reinforcement-learning trading model on hourly XAUUSD data and deploying its predictions in MetaTrader 5. It describes retrieving historical bars, cleaning and preparing the data, creating return and…