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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

12,303 documents

SuperMind

This post describes a Chinese equity screening rule combining daily price range, a historical dividend measure, and a fixed share price. Its stated logic selects stocks whose high-to-low amplitude exceeds a threshold, whose 2019 dividend ratio is above a…

EquitiesChina marketsVolatilityFactor investing
Amberdata research

This market snapshot links a sharp crypto price swing with changes in centralized exchange activity, DeFi lending flows, and miner behavior. It reports that spot trading volumes recovered after a brief decline, with Binance gaining share and Bybit trading…

CryptoSpot marketsVolatilityOn-chain data
SuperMind

This Chinese-market stock screen combines three historical activity filters: daily amplitude above 1%, turnover between 2% and 9%, and at least two limit-up events within a 500-day lookback. The document frames amplitude as a volatility measure, turnover as…

China marketsEquitiesVolatilityTechnical indicators
ProRealCode

This indicator constructs price bands around an exponentially weighted moving average. It first takes the logarithm of the input price and updates the average with an exponential weighting factor derived from the chosen period. It then calculates an…

Technical indicatorsVolatilityStatistics
SuperMind

This stock screen combines a range condition, a 15-minute MACD histogram that remains negative while shortening, and a daily low within a specified loss band of roughly four to five percent from the prior close. The article interprets the contracting…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This note outlines a basic screen for Chinese equities whose stock codes begin with 60, whose daily high-to-low range exceeds 1%, and whose closing price is 18.5 yuan. It also proposes sorting qualifying stocks by trading activity. The article illustrates…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This digital-asset market snapshot combines derivatives positioning, spot activity, order-book liquidity, funding, ETF flows, stablecoin supply, and DeFi lending conditions to assess a reported Bitcoin short squeeze. It describes shorts being liquidated more…

CryptoPerpetual futuresMarket microstructureVolatility
SuperMind

This note describes a simple Chinese-equity screen combining daily price range, calendar year, and closing price. It selects stocks whose high-to-low range exceeds 1%, whose trading date falls in 2021, and whose closing price equals 18.5 yuan. The article…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese A-share screening post describes a rule set combining amplitude above 1, a previous-day 9:15 matching price at the limit-down level, and a stated holder-concentration condition. It proposes selecting the first n stocks and provides…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

The Dynamic Momentum Index is a variable-period form of the relative strength index. With the document’s default settings, its lookback ranges from 3 to 30 bars. The period shortens as price volatility rises, making the measure more responsive to short-term…

Technical indicatorsMomentumVolatility
MQL5 code base

Three Bigger Time Frame ATR displays the Average True Range from three selected higher timeframes on the current chart. The indicator lets the user set the ATR calculation period and choose each of the three source timeframes, making it possible to compare…

Technical indicatorsVolatility
SuperMind

This stock screen selects companies classified in the metaverse sector whose prior-day actual turnover is between 3% and 28%. It also requires the closing price to fall between the 20-period Bollinger middle band and upper band. The article describes the…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This weekly market commentary reviews Bitcoin and Ether options positioning before a US inflation release in February 2023. It connects macro uncertainty and recent spot declines to implied volatility, realized volatility, term structure, and risk reversals.…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This document describes a Chinese stock screen that combines an intraday price range filter with a 15-minute MACD histogram condition, limited to 2021. The accompanying examples implement the filters in indicator and Python workflows. The intended use is to…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This recap reviews Bitcoin and Ether options and volatility conditions in early April 2023. It tracks realized volatility, term structure, put and call skew, options flow, and dealer gamma positioning as a compact framework for reading the derivatives…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock screen combines daily price movement with a recent high and a volatility-compression condition. It selects stocks whose intraday range exceeds 1%, whose high is the highest of the current and previous day, and whose Bollinger-band variability is…

EquitiesTechnical indicatorsVolatilityRisk management
Amberdata research

This market recap reviews BTC and ETH options conditions during a sharp spot-market selloff and rebound. It discusses realized and implied volatility, term structures, volatility carry, skew, relative value between ETH and BTC, options trading flows, and…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This stock screen combines three filters: price amplitude greater than 1, free float no more than 5.5 billion shares, and company size above 200 million. The article interprets the amplitude condition as a way to find more volatile stocks that may suit…

EquitiesVolatilityTechnical indicatorsRisk management
SuperMind

This post describes a Chinese equity screening rule combining a large daily high-low range, at least one strong up day in the recent trading window, and a close above the previous day’s low. The accompanying discussion frames these conditions as filters for…

EquitiesChina marketsVolatilityMomentum
MQL5 code base

This brief indicator description presents a trend identifier oscillator intended to distinguish directional markets from flat conditions. It exposes five settings: a moving-average period, the price used for that average, a signal-line period, a deviation…

Technical indicatorsTrend followingVolatility
SuperMind

This post describes a Chinese A-share screening rule that combines daily price range, a newly formed KDJ crossover, and relative volume. Stocks enter a watchlist when the range exceeds the stated threshold and volume ratio falls within the specified band.…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

This indicator adds a trend-strength cue to AML using a standard deviation calculation. When the AML indicator’s standard deviation exceeds a configurable threshold, the indicator places a colored dot on its moving average. The dot color reflects the current…

Technical indicatorsVolatilityTrend following
SuperMind

This stock-selection screen looks for shares with a minimum intraday range, at least one large daily gain within the recent 25-session window, and positive institutional buying direction. The criteria aim to combine volatility, evidence of a recent sharp…

EquitiesMomentumVolatilityTechnical indicators
BigQuant

This weekly report reviews style-factor signals across several Chinese equity universes and summarizes recent quantitative fund performance and market conditions. It reports that price-and-volume factors, especially beta, were relatively strong in the week…

China marketsEquitiesFactor investingMomentum