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Knowledge library

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.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

3,012 documents

MQL5 articles

This tutorial explains how to frame a trading problem for CatBoost gradient boosting without requiring Python or R expertise. It distinguishes manually written trading rules from supervised learning: predictors encode market information, while a target…

Machine learningStatisticsBacktestingTechnical indicators
MQL5 articles

This document presents a signal method that combines smoothed Heikin-Ashi candles with three exponential moving averages. The EMA20 calculated on highs and lows forms a short-term channel, while the EMA50 on closing prices supplies a broader trend filter. A…

Technical indicatorsTrend followingBreakoutMomentum
MQL5 articles

This document describes an MQL5 chart script that summarizes the previous trading day’s open, close, high, low, and volume, alongside current-day volume. It draws horizontal lines at the prior-day high and low and places the values and brief market…

Technical indicatorsSentiment
MQL5 articles

The document explains how to represent time in machine-learning features for forex. It argues that raw integer timestamps and hour values misrepresent cyclical adjacency, then describes encoding periodic variables with sine and cosine pairs. Adding Fourier…

ForexMachine learningStatisticsVolatility
MQL5 articles

The document teaches beginners how to structure an MQL5 Expert Advisor around a simple trend-following rule. The example looks for an upward or downward moving average and a closing price on the corresponding side, then uses ADX strength and direction as a…

ForexTrend followingTechnical indicatorsBacktesting
MQL5 articles

This collection of interviews with participants, judges, and organizers of the 2007 Automated Trading Championship reflects on the prior contest and preparation for the next one. Participants describe varied approaches, including indicator-based systems,…

Risk managementPosition sizingBacktestingTechnical indicators
MQL5 articles

This article explains how a cross-platform Expert Advisor framework can represent stop-loss and take-profit levels as calculated chart prices instead of distances in pips or points. Its CStop design uses customizable methods when a configured stop value is…

Risk managementExecutionPosition sizingTechnical indicators
MQL5 articles

This final article in a series explains how MQTT publish/subscribe messaging can move live quotes between MetaTrader 5 accounts when a trading account lacks a symbol available from a separate data provider. A publishing service reads quotes on the source…

ExecutionMarket microstructureMulti-asset
MQL5 articles

This article describes an MQL5 Expert Advisor that detects bullish and bearish Three Drives formations from six alternating swing pivots. It checks retracements and extensions against Fibonacci ratios, allowing a configurable tolerance, then plots the…

ForexTechnical indicatorsMean reversionBacktesting
MQL5 articles

The article describes an Expert Advisor that links manually drawn chart rectangles to automated trading. A user identifies support or resistance zones, and the EA reads object coordinates to determine the zone's price boundaries. Since rectangle anchors can…

Technical indicatorsBreakoutExecution
MQL5 articles

This beginner-oriented guide explains how MetaTrader 5 and MQL5 represent trading on Moscow Exchange. It contrasts market orders, which seek immediate execution but cannot assure price, with limit orders, which set a price but may remain unfilled. It also…

ExecutionMarket microstructureFuturesEquities
MQL5 articles

The article presents a logging approach for MetaTrader applications that standardizes messages with severity levels, module and function names, and structured message text. A Logger class writes to the Experts journal and can also send events to Seq, where…

ExecutionRisk management
MQL5 articles

The article describes extending a shared base class so MQL5 library objects can monitor changes to their integer and real properties. A timer-driven refresh compares current and prior values, detects increases, decreases, and crossings of configured levels,…

ExecutionMarket microstructure
MQL5 articles

This article develops a framework for constructing linear technical indicators as weighted sums of recent prices. It normalizes the coefficients so they sum to one, then uses the coefficient-weighted index positions to locate the indicator's center. Examples…

Technical indicatorsStatisticsBacktesting
MQL5 articles

This article begins a native MQL5 implementation of the Multifractal Model of Asset Returns (MMAR), focusing on partition analysis. For each moment order, the method calculates partition functions across multiple time scales, fits lines to their logarithms,…

StatisticsVolatilityMachine learning
MQL5 articles

This experience-based guide describes how to develop and publish a trading signal, with emphasis on choosing a strategy, evaluating its risks, and supporting subscribers. It recommends studying existing providers to understand their approaches and failure…

ForexRisk managementPosition sizingBacktesting
MQL5 articles

This article explains an MQL5 indicator that plots Fibonacci-scaled volatility bands around a smoothed price line. It uses a smoothed ATR as the volatility measure, so the distance between the center and each band grows or shrinks with changing market…

Technical indicatorsVolatilityForex
MQL5 articles

This article proposes a continuous-space variant of Tabu Search for optimization problems. It partitions each parameter range into sectors and tracks successful and unsuccessful outcomes with separate white and black counters. New candidate coordinates are…

StatisticsMachine learningBacktesting
MQL5 articles

This article develops a MetaTrader 5 Expert Advisor that jumps to a historical chart location selected by date and time, then lets the user return to current market data. Its dialog collects calendar and clock fields, validates them, converts them into a…

Technical indicators
MQL5 articles

This installment explains how a MetaTrader 5 Chart Trade indicator responds to chart and object events through its DispatchMessage procedure. The handler supports dragging the panel, constraining its position after chart resizing, switching display modes,…

ExecutionRisk management
MQL5 articles

The article explains how interactive three-dimensional graphics can help inspect strategy optimization results when outcomes depend on multiple parameters. A surface can show how a metric changes across two parameter values, while color can encode drawdown…

BacktestingStatisticsRisk management
MQL5 articles

This article describes replacing a growing collection of optimization CSV exports with a portable SQLite registry. The proposed schema stores individual result rows, ingestion records, and deduplicated strategy configurations, while indexes support common…

BacktestingStatisticsPortfolio construction
MQL5 articles

The article presents several nonstandard techniques for automated trading, including partial position closing based on the previous candle’s movement. A power function maps the size of that movement to the volume closed, with adjustable parameters…

Position sizingMean reversionBacktestingRisk management