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
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

This post describes a Chinese stock selection screen combining daily price movement, a weekly MACD condition, a low nominal share price, and a price-to-earnings filter. Its final stated rules require amplitude above 1, a positive weekly MACD histogram, price…

EquitiesChina marketsTechnical indicatorsFactor investing
Hyperliquid docs

The document explains how Hyperliquid derives robust reference prices for perpetual futures to reduce exposure to market manipulation. Its oracle price is a weighted median of centralized-exchange prices and is used to calculate funding rates; because…

Perpetual futuresDerivatives pricingMarket microstructureRisk management
MQL5 code base

This short specification explains how a Renko chart is constructed and how a Donchian Channel is aligned to its bricks. The horizontal axis tracks the sequence of Renko bricks rather than elapsed time. Bricks are built from incoming bid ticks using the…

Technical indicatorsTrend followingBreakout
SuperMind

This document describes a stock-selection rule that combines three signals: daily price amplitude above a threshold, a positive weekly MACD condition, and a positive product of price change and a large-order money-flow measure. It presents the rule as a way…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

The author discusses whether AI stock selection discovers repeatable market patterns or earns returns because its chosen style happens to suit current conditions. The reported live and backtest observations suggest that alpha varies with market regime:…

EquitiesMomentumMachine learningBacktesting
SuperMind

This post proposes screening Chinese equities for companies with market capitalization below 10 billion yuan, no losses, and share prices below 18.5 yuan. It also suggests ranking candidates by capital-intensity measures such as turnover and volume ratio.…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This document describes a Chinese stock selection screen combining beverage and alcohol industry membership, turnover, and a Bollinger Band condition. The stated setup seeks stocks with turnover between 3% and 12% and closing prices between the middle and…

EquitiesChina marketsTechnical indicatorsStatistics
Hummingbot docs

The article compares decentralized liquidity provision in automated market makers (AMMs) with liquidity mining on centralized exchange order books. In an AMM, providers supply assets while a smart contract sets prices; arbitrageurs trade against the pool and…

CryptoDeFiMarket makingArbitrage
MQL5 code base

This expert advisor trades changes in the XWAMI indicator's trend cloud. It generates a signal when a bar closes and the cloud changes color, then adjusts position size according to recent outcomes in the same direction. The stated defaults examine the last…

ForexTechnical indicatorsPosition sizingBacktesting
SuperMind

This stock-selection rule screens Chinese equities using three conditions: daily amplitude above 1%, at least two limit-up events in the preceding 500 days, and a 2019 dividend ratio above 25%. The post describes these as signals of strong price action and…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This market note reviews Bitcoin and Ether options around a period of banking stress and major US economic releases. It describes Bitcoin’s term structure moving into backwardation, with near-dated implied volatility elevated relative to longer maturities,…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock-selection proposal combines three signals: an RSI reading below a stated threshold, the product of price change and net volume from very large orders being positive, and a stock appearing on the prior day’s trading activity list. The article…

EquitiesChina marketsTechnical indicatorsSentiment
BigQuant

This tutorial introduces TA-Lib as a tool for calculating technical indicators from price and volume series. It briefly describes candlestick patterns, moving averages, ADX, ATR, and On-Balance Volume, then demonstrates calculating a simple moving average…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening example combines a daily turnover-rate band with reversal-candle and arc-shaped price indicators. Its stated selection formula also filters for market capitalization and an arc-trend reading, while the accompanying explanation…

EquitiesChina marketsTechnical indicatorsStatistics
Amberdata research

This market commentary examines crypto options positioning in December 2023 as traders anticipated a US spot Bitcoin ETF decision. It discusses a sharp Bitcoin pullback and a rise in realized volatility, alongside a decline in short-dated implied volatility…

CryptoOptionsVolatilityEvent-driven
MQL5 code base

This brief note presents general software design principles that can inform trading-system architecture. It describes design patterns as reusable solutions developed through experience, intended to help make systems easier to extend, maintain, and support.…

Execution
SuperMind

This article outlines an equity screen requiring RSI below 65, a rising KDJ K value, and turnover between 3% and 12%. Its stated aim is to find stocks with relatively subdued RSI readings, improving short-term momentum, and moderate trading activity. The…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This article describes a Chinese equity screening rule combining a daily high–low range above 1%, a newly formed KDJ bullish crossover, and 2021 revenue more than 1.1 times 2018 revenue. It explains the intended rationale: favor stocks with price movement,…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This brief note describes a ribbon indicator built from a variation of the Hull moving average. Instead of comparing averages with different calculation periods, it uses the variation indicator’s speed property to create a ribbon that behaves somewhat like a…

Technical indicatorsMomentum
SuperMind

This SuperTrend variation adapts its ATR multiplier to the ratio of current ATR to a smoothed ATR average, widening bands in relatively volatile conditions and narrowing them when volatility is subdued. It adds an ATR-based cushion beyond the band before…

Trend followingVolatilityTechnical indicatorsMomentum
ProRealCode

This Chinese-language post outlines an A-share stock screen that excludes Beijing-listed shares, selects stocks with a high-low range above 1%, and looks for a weekly five-period moving average crossing above a ten-period average. It presents sample…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes an adaptive Laguerre filter based on a method attributed to John Ehlers. It says the implementation supports Laguerre polynomials of different orders, with order four as the default. Adaptation can be controlled through a smoothing…

Technical indicatorsTrend followingStatistics
MQL5 code base

This document describes a normalized version of the Acceleration/Deceleration oscillator. It shifts and rescales the standard indicator, with the stated aim of making its configuration more adaptable alongside other oscillators. The description identifies…

Technical indicatorsStatistics
SuperMind

This document describes a stock-selection screen for Chinese A-shares. It combines daily turnover between 3% and 12%, an opening price within 5% of the ten-day moving average, market capitalization no greater than 10 billion yuan, and positive earnings…

EquitiesChina marketsTechnical indicatorsFactor investing