Skip to content

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
WonderTrader
14 documents
Alphalens
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 explains a MetaEditor workflow for developing an MQL5 project that depends on code stored in a separate Algo Forge repository. It distinguishes the default mql5 repository from additional repositories, which appear as folders under Shared…

Execution
MQL5 articles

This article describes a tool for testing Arthur Merrill’s five-point price patterns, grouped into M and W formations. It proposes searching for the patterns in price series based on open, close, high, or low values, as well as in selected oscillators. For…

Technical indicatorsBacktestingStatistics
MQL5 articles

This article introduces HTTP headers for developers building a request library in MetaTrader 5. It explains how headers carry metadata alongside a request or response, including authorization details, content types, accepted formats, and client identity. The…

Execution
MQL5 articles

This article explains how to restrict a MetaTrader 5 market replay control indicator to the replay symbol and a single intended chart. It first checks the chart symbol during indicator initialization, removes the indicator when the symbol is wrong, and…

ExecutionTechnical indicators
MQL5 articles

This article traces MQL and MetaTrader through early platform releases to the modern development environment. Its central theme is the steady expansion of what traders can do inside the platform: automate strategies, test them on historical data, create…

BacktestingMachine learningTechnical indicators
MQL5 articles

The article explains covariance matrix adaptation evolution strategy (CMA-ES), an evolutionary optimizer that samples candidate solutions from a distribution whose mean, step size, and covariance adapt over successive generations. Successful candidates…

Machine learningStatisticsBacktesting
MQL5 articles

This article develops a continuous short-horizon trend score for NQ one-minute bars. The score combines the ordering of fast, medium, and slow exponential moving averages, the close’s ATR-normalized distance from those averages, consistency of their recent…

FuturesTechnical indicatorsMarket microstructureMomentum
MQL5 articles

The article presents a framework for describing and implementing strategies that actively manage pending orders. It separates market analysis, assessment of current positions and orders, and position management. Example approaches include scaling into a…

ExecutionPosition sizingBacktesting
MQL5 articles

The article explains a framework for mapping MQL5 model classes to SQLite tables. It describes a layered design: field metadata records column properties, a base model manages fields and binds values, a database wrapper encapsulates SQLite calls, and an ORM…

ExecutionBacktestingStatistics
MQL5 articles

The article presents practical uses of Kohonen self-organizing maps in algorithmic trading. For selecting expert-advisor settings, it recommends looking for broad plateaus of acceptable objective values rather than isolated backtest maxima, treating plateau…

Machine learningBacktestingStatisticsForex
MQL5 articles

The article applies self-organizing Kohonen maps to two tasks: identifying robust expert-advisor settings from optimization results and forecasting time series. For parameter selection, it argues that traders should seek broad regions, or plateaus, of…

Machine learningBacktestingStatisticsForex
MQL5 articles

The article describes an alert-focused MetaTrader expert advisor for detecting unusually sharp upward or downward price moves. It combines a rolling price-change threshold with an ATR expansion check and a moving-average direction filter; optional…

Technical indicatorsVolatilityMomentumRisk management
MQL5 articles

This article describes an Expert Advisor that multiplies the volume of deals copied by MetaTrader’s Signals service. It explains how the copier detects completed deals through trade-transaction events, then opens a corresponding position or increases an…

ExecutionRisk managementPosition sizingForex
MQL5 articles

The article explains how N-BEATS forecasts time series and uses constrained model blocks to represent components such as trend and seasonality. Each block maps an input sequence through a lower-dimensional representation and produces both a forecast and a…

Machine learningForexStatistics
MQL5 articles

This guide presents a checklist for evaluating a trading robot with a platform’s strategy tester before buying or using it live. It recommends testing random execution delays, different broker conditions, other symbols and time frames, unfavorable historical…

BacktestingExecutionRisk managementForex
MQL5 articles

The article introduces formulaic alphas as algebraic representations of trading signals. It argues that expressing signals as formulas can make large collections of machine-generated ideas easier to inspect, combine, and audit. This is presented as a…

Machine learningStatisticsMomentumMean reversion
MQL5 articles

The article explains an automated grid approach for MOEX futures that places buy and sell limit orders at intervals across a chosen price range. As price moves through levels, the Expert Advisor updates pending orders and pairs executed buys and sells. The…

FuturesGrid tradingRisk managementExecution
MQL5 articles

The article presents an architecture for passing market data from an MQL5 Expert Advisor to a language model through a Python server. The EA acts as a data collector and receives a structured response, while the server calculates technical indicators,…

Machine learningTechnical indicatorsExecutionForex
MQL5 articles

The article turns a tCISD reversal concept into a rules-based MQL5 trading process. It anchors quarterly cycles to New York time, accounting for daylight saving, then compares quarter highs and lows in a traded instrument and a correlated symbol. A…

ForexCommoditiesTechnical indicatorsRisk management
MQL5 articles

The article describes ETARE, a proposed trading system that combines an LSTM model, reinforcement learning, and an evolutionary population of strategies. Strategies carry neural network weights, which can be recombined or mutated; periodic selection removes…

Machine learningStatisticsRisk managementBacktesting
MQL5 articles

This tutorial combines several MACD display variants in one MQL5 indicator: MACD and signal lines, an OsMA histogram, two-color rising and falling bars, and Elder-style impulse coloring. It explains obtaining MACD buffers, deriving the histogram by…

Technical indicatorsMomentum
MQL5 articles

The article explains the Aroon indicator as a pair of lines that measure how recently highs and lows occurred within a lookback period. It interprets the relative position of Aroon Up and Aroon Down as directional information and presents two rule sets: a…

Technical indicatorsTrend followingBacktesting
MQL5 articles

This article explains a MetaTrader 5 workflow for consolidating several indicators and related asset charts into one organized chart display. It begins with the practical problem of screen clutter and disconnected windows, then introduces templates as…

Technical indicatorsFuturesEquities