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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

21 documents

BigQuant

This short indicator description covers a chart tool that displays four semaphore-style signals based on money flow index (MFI) oscillators with different periods. It presents the signals as trend cues when oscillator readings enter user-defined overbought…

Technical indicatorsMomentumForex
BigQuant

The article discusses data integration challenges when developing strategies across US equities and forex. It highlights differences in update speed, price conventions, and data formats, arguing that timestamp misalignment and latency can create gaps between…

Multi-assetUS marketsForexExecution
BigQuant

The document summarizes a study of deep value episodes, defined as periods when the valuation gap between cheap and expensive securities is unusually wide relative to its history. The study examines individual stocks across global markets, equity index…

Multi-assetFactor investingEquitiesFutures
BigQuant

The document describes a hybrid approach that combines ARMA-GARCH models with several neural network types to identify market patterns and predict the direction of shocks in defense equities and foreign exchange. ARMA-GARCH models capture linear time-series…

Machine learningStatisticsVolatilityEquities
BigQuant

This post presents a rules-based foreign exchange strategy intended to trade rebounds within a trend. It uses a short moving average channel derived from prior highs and lows, together with MACD sign as a directional filter. Long entries are placed as limit…

ForexTechnical indicatorsMean reversionBacktesting
BigQuant

This tutorial explains how to request foreign exchange futures market data through an HTTP endpoint and a WebSocket connection. It uses the micro British pound continuous contract as an example, showing how request parameters identify the bar interval,…

FuturesForexMarket microstructureExecution
BigQuant

This study adapts SinGAN, a multiscale generative adversarial network trained on one sample, to generate financial return sequences. Its pyramid trains progressively across scales: coarse layers represent broad, low-frequency structure, while finer layers…

Machine learningStatisticsBacktestingEquities
BigQuant

The document outlines a workflow for developing a simple EUR/USD trading system with market data from an API and code generation through an AI coding tool. Its example strategy buys when a short moving average crosses above a longer one and sells on the…

ForexTechnical indicatorsMachine learningBacktesting
BigQuant

The article compares several foreign exchange data API providers and describes iTick’s advertised features, including free low-frequency access, coverage of currency pairs and indexes, real-time quotes, and technical support. It explains how developers might…

ForexExecutionMarket microstructure
BigQuant

This guide surveys data services that researchers and developers might use for market quotes and historical bars. It discusses Google Finance, Finnhub, iTick, and Bloomberg, describing their stated coverage across assets such as stocks, currencies, indices,…

Multi-assetForexCryptoEquities
BigQuant

This tutorial outlines a long and short strategy that uses short and long simple moving averages to identify trend changes. A bullish crossover triggers a long signal, while a bearish crossover triggers a short signal. It describes applying the approach to…

ForexEquitiesTrend followingTechnical indicators
BigQuant

This document describes an Expert Advisor built around the Adaptive Cyber Cycle indicator. It generates a signal when the indicator crosses its signal line at a bar close. The inputs also allow use of related Adaptive CG Oscillator, CyberCycle, or Adaptive…

ForexTechnical indicatorsBacktesting
BigQuant

This page outlines ways to retrieve foreign-exchange data from a market-data provider. It describes REST requests for historical candlestick data and current quotes, along with a WebSocket connection for subscribing to live quote and depth updates. The…

ForexExecutionMarket microstructure
BigQuant

This tutorial outlines a Java client that connects to a streaming market data service over WebSocket, authenticates with an API key, and subscribes to selected instruments and data types. It explains the role of the Java endpoint annotations and session, and…

ForexExecutionMarket microstructure
BigQuant

The post raises a research question about obtaining daily exchange-rate data for several countries, including China, the United States, and Japan. Its author argues that broad equity-market timing should consider capital flows, distinguishing domestic flows…

Multi-assetForexFixed incomeEquities
BigQuant

This document describes an MT5 Expert Advisor that trades signals from the Stopreversal indicator. It generates a signal when a colored indicator arrow appears at bar close, and lets the user define the hours and minutes when trading is allowed. The default…

ForexTechnical indicatorsExecutionBacktesting
BigQuant

The document describes an attempt to reconstruct the dollar-renminbi daily fixing mechanism and estimate the effect of its countercyclical adjustment. The proposed baseline model combines currency basket weights with separate filters for appreciation and…

ForexStatisticsBacktestingChina markets
BigQuant

This guide describes operational practices for receiving foreign-exchange prices for research, backtesting, and live systems. It recommends a WebSocket push connection instead of frequent polling for actively used currency pairs, retrying after temporary…

ForexExecutionHigh-frequency tradingStatistics
BigQuant

This overview explains how traders can translate technical rules into algorithms that monitor markets and place or manage orders. It describes automation’s practical uses: tracking multiple assets and indicators, high-frequency trading, cross-market…

CryptoForexHigh-frequency tradingArbitrage
BigQuant

The document describes an Expert Advisor that uses a single-layer neural network, identified as a perceptron, to classify the direction of quote movement. The implementation draws on the iAC indicator and bar opening-time history. It also reports a testing…

Machine learningForexBacktesting
BigQuant

This MetaTrader 5 expert advisor is designed to manage account equity and individual open trades, then place a grid of pending orders when price reaches a user-specified level. The trader must decide in advance where a grid would be appropriate; the EA does…

ForexGrid tradingExecutionRisk management