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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

79,386 documents

SuperMind

The article proposes a Chinese equity screening rule that ranks stocks by trading heat, then filters for an RSI below 65 and at least one limit-up session during 2021. Its code example retrieves daily data, computes a 14-period RSI, checks for a qualifying…

EquitiesTechnical indicatorsMomentumBacktesting
FMZ guides

This guide collects exchange-specific implementation details for brokerage and cryptocurrency connections. For Futu, it explains market-specific stock symbol formats, account market identification, and the effect of disabling cached account and position data…

ExecutionMarket microstructureEquitiesCrypto
MQL5 code base

The document describes a volatility channel indicator attributed to Larry Williams. It defines an upper and lower channel boundary using rolling extremes over a configurable period. The upper boundary takes the highest value of a transformed price series,…

Technical indicatorsVolatility
MQL5 code base

This product description outlines a trading bot designed for Martingale-style trading. It lists stop loss, take profit, and trailing stop functions measured in points, plus user-defined high and low price levels. Entry can be based on tick volume for a…

Grid tradingTechnical indicatorsPosition sizingRisk management
SuperMind

This note describes a stock screen requiring daily price amplitude above 1, MACD above its zero line, and a positive price-to-earnings ratio. The conditions aim to combine elevated price movement, a bullish technical signal, and a company reporting positive…

EquitiesTechnical indicatorsVolatilityStatistics
SuperMind

This note presents a China A-share selection screen focused on metaverse-related stocks. Its final criteria combine a volume ratio between 1.5 and 6, turnover above 3%, a prior close above the 10-day moving average, an opening price below the prior close, a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock selection note describes a screen for beverage and alcohol import-export companies. It combines turnover between 3% and 12% with prior-day trading activity above the stated 60 million threshold. The article also gives formula and Python examples…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This document describes a small MQL5 benchmarking library for comparing how quickly functions or expressions execute. It introduces three measurement styles: timing a call in microseconds per invocation, running a fixed number of repetitions and reporting…

ExecutionHigh-frequency tradingStatistics
SuperMind

This stock-screening method combines a 14-period RSI below 65, three consecutive bearish daily candles, and a positive daily MACD condition. The document presents the combination as a way to find shares with recent short-term weakness while retaining a…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document proposes screening Chinese equities for three conditions: price amplitude above a threshold, the close above its five-day moving average, and a positive Morning Star candlestick signal. It presents the combination as a way to find stocks with…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

The document introduces a version of the Fisher Transform indicator that lets the user select the timeframe from its input settings. The example setting defaults to a four-hour period, showing that the indicator can draw on a chart period chosen separately…

Technical indicatorsMomentum
FMZ forum

The document outlines a cryptocurrency grid strategy designed to run across several exchanges and spot, futures, and perpetual markets. It describes a grid that can operate in both directions or only one direction, with one side disabled by setting its order…

CryptoGrid tradingExecutionMarket microstructure
MQL5 code base

The document describes a trading expert advisor built around zone-recovery hedging. It says the approach averages positions and uses a targeted take-profit line, with trades entered either manually or automatically. Its automatic mode uses a multi-timeframe…

ForexMean reversionTechnical indicatorsRisk management
Alphalens

This tutorial explains how to use Alphalens to examine whether factor scores are associated with future asset returns. It distinguishes factor research from portfolio backtesting: factor analysis helps characterize predictive power, consistency across…

Factor investingStatisticsBacktestingMomentum
SuperMind

This document describes a Chinese equities screening rule combining price amplitude above 1, a nonempty name for outstanding convertible bonds, and a 2019 dividend ratio above 25%. It presents the screen as a way to find volatile stocks with stronger company…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This stock screen combines three technical conditions: daily amplitude above a stated threshold, a positive weekly MACD histogram, and at least five moving averages meeting a convergence condition. The post describes these as a way to find volatile stocks…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

This commentary argues that oversight of quantitative trading should focus on predictable, transparent market rules and enforcement of misconduct, rather than suppressing algorithmic methods as a category. It frames the regulatory challenge as balancing…

China marketsMarket microstructureHigh-frequency tradingExecution
BigQuant

Risk parity allocates portfolio weights so that assets contribute more evenly to total portfolio risk, rather than assigning capital according to expected returns or equal dollar amounts. The document outlines a workflow: estimate asset volatilities and…

Portfolio constructionRisk managementMulti-assetStatistics
MQL5 code base

QQESign is a technical indicator that converts signals from the Quantitative Qualitative Estimation (QQE) oscillator into semaphore arrow markers. It triggers when the oscillator’s main line crosses its signal line, using the crossover as the basis for a…

Technical indicatorsForex
BigQuant

This review surveys three directions in factor investing: refining established factor methods, incorporating new data and models, and using factors as a basis for asset allocation. It describes improving value signals with multiple valuation measures,…

Factor investingPortfolio constructionMachine learningRisk management
MQL5 code base

This review surveys three directions in factor investing: refining established factor methods, incorporating new data and models, and using factors as a basis for asset allocation. It describes improving value signals with multiple valuation measures,…

Factor investingPortfolio constructionMachine learningRisk management
MQL5 code base

This document describes an MT4 chart tool that constructs a synthetic symbol from two source symbols in Market Watch and displays it as a real-time offline chart. Its calculation can multiply the source prices or divide one by the other, allowing users to…

ForexMarket microstructure
Amberdata research

The article explains how tokenization can represent fractional claims on real-world assets such as real estate, commodities, collectibles, private credit, equities, and intellectual property. A custodian or other trusted entity holds the underlying asset…

CryptoDeFiOn-chain dataMulti-asset