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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
Quantopian lectures
45 documents
Binance API docs
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

Amberdata research

This analysis studies whether lending activity in USDC, USDT, and DAI can help anticipate Ethereum volatility. It examines lagged repayments, withdrawals, and borrowing, then defines shock days as days when repayment counts exceed each stablecoin’s…

CryptoDeFiVolatilityStatistics
ProRealCode

The ATR Worm indicator is presented as a visual aid for scalping entries under two setups: confirmation of a price pattern by the next candle, or a horizontal breakout. Blue dots mark the pattern-validation scenario and red dots mark the breakout scenario,…

Technical indicatorsVolatilityRisk management
SuperMind

This note describes a Chinese equity screen combining four conditions: daily high–low range above one percent of the open, a stock code beginning with 60, a robotics concept classification, and circulating market value below 10 billion yuan. It also suggests…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This post proposes an equity screen using three conditions: prior-session price amplitude above a threshold, the opening price near its ten-day moving average, and a daily volume-based measure described as control above a cutoff. The examples calculate…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

The LBR Paint Bars indicator colors candles according to their position relative to a volatility cloud. The cloud boundaries are built from rolling highs and lows over a chosen lookback period, adjusted inward or outward by a distance based on the average…

Technical indicatorsVolatilityTrend following
SuperMind

The proposed stock screen combines four conditions: daily amplitude above a threshold, a shortening negative MACD histogram on a 15-minute interval, current trading volume above a stated level, and an opening price above the prior high. The document…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

JuiceZ is described as a financial-asset volatility indicator built from the absolute value of the OSMA oscillator, a chart point value, and a user-set level. That level defines a flat region: OSMA readings beneath it cause the indicator to be negative. The…

Technical indicatorsVolatilityTrend following
SuperMind

This Chinese equity screen combines a daily high-low range above 1% of the previous close, a weekly MACD condition above the zero axis, and a current-day low between 4% and 5% below the prior close. The post presents the drawdown filter as a way to identify…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese equity screening example selects stocks with an intraday high-low range greater than 1% during 2021, after seven consecutive sessions in which the close is below the prior close. It frames the range condition as evidence of greater volatility…

EquitiesChina marketsVolatilityMomentum
Cryptohopper blog

This introductory comparison explains shared market features and differences between trading company shares and cryptocurrencies. Both markets rely on supply and demand, operate through digital platforms, and expose participants to losses. The article…

CryptoEquitiesVolatilityRisk management
SuperMind

This post presents a simple stock-selection rule for Chinese equities: screen for a daily high-low range above one percent, restrict observations to 2021, and require the prior close to be above a 250-day moving average. The range condition is framed as a…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese equity screening idea combines a daily price-range threshold, a market-cap limit, positive net profit, and afternoon large-order inflows. The article’s formulas also add a daily gain condition, and its sample code filters for positive price…

EquitiesVolatilityRisk managementChina markets
SuperMind

This document presents a Chinese equity screening rule combining three conditions: daily price range above 1%, a positive ten-day return below 35%, and a nonempty name for an outstanding convertible bond. The range condition is described as a way to select…

EquitiesVolatilityMomentumTechnical indicators
ProRealCode

The document describes a ProBuilder implementation of detrended fluctuation analysis for estimating a Hurst exponent from log returns. It centers and cumulatively sums returns, divides the resulting series into blocks at multiple scales, removes a linear…

StatisticsTechnical indicatorsVolatility
ProRealCode

This proposed daily strategy for the DAX mini switches between mean-reversion and breakout entries according to ADX thresholds. It uses the candle’s direction and size relative to average true range to trigger trades, and applies separate volatility ceilings…

FuturesMean reversionBreakoutVolatility
ProRealCode

The indicator uses Bollinger Band width as a proxy for volatility. It calculates upper and lower bands from closing prices, takes their difference as momentum, and compares that value with a moving average of the difference. A histogram marks values at or…

Technical indicatorsVolatilityBreakout
MQL5 code base

The deviation ratio is described as a measure derived from two standard deviations, expressed as a ratio between them. The document presents it as an activity indicator: it can highlight periods of elevated market activity, but does not show whether prices…

Technical indicatorsVolatilityStatistics
SuperMind

This proposed equity screen targets stocks associated with the metaverse concept. It requires an intraday range greater than 1 and a day's maximum decline between 4% and 5% in magnitude. The accompanying explanation frames the range as a sign of elevated…

EquitiesChina marketsVolatilityMean reversion
Amberdata research

This derivatives newsletter reviews Bitcoin and Ether market conditions, options positioning, and volatility in June 2024. For Ether, it describes dealers returning to neutral gamma after earlier volatility buying, with dealers holding at-the-money and…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This note outlines a Chinese stock screen combining a daily high-to-low range of at least one percent, relative volume between 1.5 and 6 times its five-day average, and a short-term moving-average trend in which the five-day average is above the ten-day…

EquitiesChina marketsVolatilityMomentum
SuperMind

This note presents a Chinese stock screen for companies with a daily high-to-low range of at least one percent, market value no greater than 10 billion yuan, positive earnings, and a positive price-to-earnings ratio. The accompanying formula further caps the…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This note describes a Chinese equity screening rule that combines a daily price-range threshold, a minimum threshold for circulating market value, and a measure of controlling shares above a specified level. It presents the rule as a way to find larger…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This ProRealTime indicator fits a linear regression line to closing prices over a configurable lookback window. It calculates the regression coefficients from sums of the time index and price, then draws the line across the window. A channel width is…

Technical indicatorsStatisticsVolatilityTrend following