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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 article describes modular programming for trading robots: divide an expert advisor into independent components with clear inputs and outputs so one component can be replaced without rewriting the rest. It recommends keeping core trading functions in a…

Position sizingRisk managementTechnical indicatorsExecution
MQL5 articles

The article explains PointNet, a neural-network architecture designed to process unordered point sets directly. Rather than converting a point cloud into a voxel grid or image, it applies shared point-level transformations and uses max pooling to create a…

Machine learningStatisticsBacktesting
MQL5 articles

This article presents an architecture for running multiple trading models across instruments and timeframes within one MetaTrader 5 expert advisor. It frames the configuration problem as a set of model, timeframe, and instrument combinations, each of which…

Multi-assetPosition sizingExecutionRisk management
MQL5 articles

This installment explains how to make a market replay and simulation service more reliable when loading forex data. A configuration that loads one-minute bars before tick trades can cause the system to delete the bars when it switches price display modes,…

ForexBacktestingExecution
MQL5 articles

In this interview, Antonio Morillas discusses developing an Expert Advisor for the 2011 Automated Trading Championship. He describes a long-term trend strategy based on a moving-average slope, with buy, sell, or wait signals and a broad trailing stop. When…

ForexTrend followingPosition sizingRisk management
MQL5 articles

This article extends standard ARCH and GARCH approaches to account for the sign of market shocks. Symmetric GARCH treats positive and negative returns of equal size alike, while the leverage effect describes how negative returns can be followed by sharper…

VolatilityStatisticsRisk managementForex
MQL5 articles

This installment describes connecting a trained classifier to MetaTrader 5 for live order execution. Predictions above or below a threshold trigger long or short trades with preset stop-loss and take-profit levels, while a cap on open positions limits new…

Machine learningExecutionRisk managementPosition sizing
MQL5 articles

The article builds a Hawkes-process workflow to measure whether large market moves tend to cluster. It converts price data into event times when absolute log returns exceed a multiple of a trailing return-volatility estimate, then fits an exponential-kernel…

StatisticsVolatilityMarket microstructureBacktesting
MQL5 articles

The article extends a liquidity-zone strategy by requiring setups to align with a trend filter based on an exponential moving average. Demand zones qualify for buy-limit orders when they form above the EMA, while supply zones qualify for sell-limit orders…

ForexTrend followingTechnical indicatorsExecution
MQL5 articles

The article describes MPO4, an oscillator that estimates directional pressure by weighting each candle according to its body size relative to a recent average. Bullish and bearish candles contribute positive and negative values, respectively; the…

Technical indicatorsMomentumStatistics
MQL5 articles

The article explains how to extend a simple linear regression implementation to handle multiple independent variables using matrix algebra. It introduces the design matrix, including a column of ones for the intercept, and describes transposing data,…

StatisticsMachine learningUS markets
MQL5 articles

The article outlines a machine learning workflow that combines volume analysis with price features to predict market movements. It proposes rolling volume averages and ratios, price and volume momentum, volume volatility, and price-volume correlation.…

EquitiesMachine learningStatisticsTechnical indicators
MQL5 articles

This article describes a graphical workflow for assembling MetaTrader 5 Expert Advisors from connected trading blocks, then generating MQL5 code. Its worked example encodes a moving average rule: buy when the shorter average is above the longer one and sell…

ForexTechnical indicatorsBreakoutPosition sizing
MQL5 articles

The article explains how MetaTrader 5 custom symbols can create controlled test environments for evaluating trading strategies. It describes a helper class that creates and deletes symbols, copies properties and tick history from an existing instrument,…

BacktestingRisk managementExecutionMarket microstructure
MQL5 articles

The article shows how to use MQL5’s CCanvas class to draw custom indicator graphics, focusing on transparent fills between two lines. It motivates canvas drawing as an alternative to the built-in fill plot, which does not support transparency and can blend…

Technical indicatorsExecution
MQL5 articles

The article develops a floating grid that places buy-stop orders above the current price and sell-stop orders below it, then updates the pending orders as price moves. Each position has its own take profit, while orders far from the market are removed and…

ForexGrid tradingRisk managementBacktesting
MQL5 articles

The article compares three ways to combine population-based optimizers: merge their search logic, run them in successive stages, or run them in parallel and combine their best candidates. Its worked example pairs Grey Wolf Optimization with the Cuckoo…

StatisticsMachine learningBacktesting
MQL5 articles

The article describes an end-to-end workflow that connects MetaTrader 5 data collection to Python model training and live inference. Historical bars are uploaded in chunks, enriched with technical and statistical features, labeled, and stored for training. A…

Machine learningTechnical indicatorsExecutionStatistics
MQL5 articles

This article explains how the ALGLIB port available to MQL5 developers can support numerical work needed for dynamic hedging and multi-asset strategies. It contrasts single-window correlation indicators and hand-built calculations with tools for matrix…

Multi-assetPairs tradingStatisticsPortfolio construction
MQL5 articles

The article presents an Expert Advisor design that combines a Hidden Markov Model with regime-specific Gated Recurrent Units. The HMM estimates whether conditions are ranging, trending, or unusually volatile from trend-strength and relative-volatility…

ForexMachine learningTrend followingBacktesting
MQL5 articles

This article discusses improving a Wizard-generated, multi-signal MQL5 Expert Advisor by controlling when its signals can trigger trades. It argues that default signal modules may be technically sound yet perform poorly when allowed to vote continuously…

ForexTechnical indicatorsBacktestingRisk management
MQL5 articles

The document explains Mantis, a foundation model for classifying time-series patterns and market regimes. It describes splitting sequences into patches, combining local convolutional features with global attention, and using separate streams for normalized…

Machine learningStatisticsVolatilityTechnical indicators
MQL5 articles

The article evaluates a two-sided CUSUM indicator that accumulates standardized log returns and flags a breakpoint when either accumulator crosses a threshold. It tests the Siegmund average run length formula, commonly used to estimate the spacing of false…

StatisticsVolatilityMachine learningBacktesting