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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

SuperMind

The document presents a stock selection screen that excludes Beijing-listed shares and applies two price filters: an intraday range above 1% and a return greater than -5% but below 2.6%. It provides equivalent screening logic and example implementations for…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

This indicator applies Bollinger-style bands to a stochastic oscillator rather than directly to price. It calculates the oscillator, a moving average, and standard-deviation bands, then changes the trend state when the oscillator crosses above the prior…

Technical indicatorsTrend followingMomentumVolatility
Amberdata research

This podcast listing introduces Rysk Finance as a decentralized options vault protocol that extends beyond simple options strategies by offering delta-hedged volatility exposure. It also frames a discussion with the protocol’s founders about Rysk’s approach…

OptionsVolatilityDerivatives pricingDeFi
SuperMind

This post outlines a Chinese stock screening idea that combines recent price amplitude, institutional participation, and circulating market value, restricted to main-board stocks. Its final stated criteria use a 15-day amplitude threshold above one,…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This stock screen combines a daily high-low range threshold with a historical date filter and a relative-volume band. It looks for shares whose range exceeds 1% and whose volume is between 1.5 and 6 times a 24-period moving average, restricted to trading…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

The document introduces a higher-timeframe version of a WPR_Histogram_Vol indicator. Its central setting lets a user select the chart timeframe used by the indicator, with a four-hour period shown as the default. The text identifies the compiled indicator…

Technical indicatorsVolatility
Amberdata research

This market commentary discusses Bitcoin’s approach to prior highs and argues that near-term direction is uncertain. It favors holding existing long-delta exposure for longer horizons while considering delta-neutral structures for short-term positioning. The…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

The document defines a technical indicator that combines Bollinger Band width with average true range. Its stated calculation takes the distance between the upper and lower Bollinger Bands and subtracts average true range multiplied by a configurable…

Technical indicatorsVolatilityStatistics
BigQuant

This reference catalogues TA-Lib functions and their input fields for calculating common trading indicators. It groups examples into overlapping price studies, volatility and volume-price measures, cycle functions, price transformations, momentum indicators,…

Technical indicatorsStatisticsVolatilityMomentum
pysystemtrade

This configuration describes a futures trading system that estimates forecasts from several exponentially weighted moving average crossover rules and a carry rule. The EWMAC rules pair faster and slower lookback periods, while the carry forecast uses…

FuturesTrend followingCarryVolatility
MQL5 code base

The described expert advisor uses two moving averages to identify a main market direction. When the averages have not crossed for a specified period and price pulls back from that direction, it opens an initial position. It can then add positions, up to a…

Technical indicatorsGrid tradingVolatilityRisk management
Cryptohopper blog

The article surveys EMA, Williams %R, RSI variants, MESA adaptive moving average, Parabolic SAR, and Bollinger Bands for cryptocurrency trading. It explains the basic EMA crossover rule: a shorter average crossing above a longer one signals a buy, while a…

CryptoTechnical indicatorsTrend followingMean reversion
MQL5 code base

This note describes a Relative Volatility Index variant with optional floating threshold levels and added smoothing. Floating levels can change how the indicator behaves compared with fixed thresholds; the note presents them as useful when longer lookback…

Technical indicatorsVolatility
SuperMind

The document describes a stock-selection rule for A-shares using three prior-day conditions: price amplitude above 1%, the stock did not close at the limit-up level, and trading activity exceeded 60 million yuan in value. The proposed rationale is to favor…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

The document proposes an A-share stock screen combining daily price amplitude above 1%, a nonempty convertible-bond name, association with the robotics concept, and a circulating market value below 10 billion yuan. It frames the conditions as a way to find…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This market recap reviews a historical snapshot of Bitcoin and Ether options. It discusses realized and implied volatility, term structure, skew, option flows, and dealer gamma positioning. The commentary links changes in short-dated volatility and skew to a…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This brief Chinese-language post describes a single-factor timing experiment based on a volatility-difference approach. The author says the test was inspired by a Guosen Securities study on timing with directional volatility differences. The post provides no…

VolatilityFactor investingBacktestingExecution
Amberdata research

This March 2024 market note links macro conditions, crypto derivatives pricing, and possible bull-market paths for BTC and ETH. It reports that hotter inflation data pushed rates higher, while BTC and ETH prices had weakened over the week. The author…

CryptoOptionsFuturesVolatility
SuperMind

This A-share stock-selection method looks for names with daily amplitude above 1, a prior-day appearance on the stock exchange’s notable-trading list with buy amount greater than sell amount, and price above three moving-average-derived channel bands. The…

EquitiesChina marketsVolatilityMomentum
SuperMind

The document describes an MT5 dashboard indicator that scans selected symbols and timeframes for candles with prominent upper or lower wicks. Configurable rules include wick share of the candle range, minimum range and body size, a cap on the opposite wick,…

Technical indicatorsVolatilityMulti-assetExecution
MQL5 code base

This Chinese-language note outlines an equity selection screen combining price amplitude, return on equity, and a concentration measure. The initial rule calls for amplitude above one, ROE above 15% for five consecutive years, and concentration below 20%.…

EquitiesFactor investingVolatilityRisk management
MQL5 code base

The document introduces a smoothed version of the standard deviation indicator and states that its smoothing period is three, using a moving-average routine. It distinguishes this measure from conventional standard deviation and refers to an image comparing…

Technical indicatorsVolatility
Amberdata research

This market snapshot assesses a period of crypto consolidation by combining price and volume trends with derivatives positioning, institutional flows, order book liquidity, and DeFi lending conditions. It reports a modest Bitcoin recovery alongside weaker…

CryptoPerpetual futuresVolatilityMarket microstructure
SuperMind

This post proposes screening Chinese equities associated with the robotics concept using turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. The stated rationale is to combine a measure of trading activity with a…

EquitiesChina marketsVolatilityTechnical indicators