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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

BigQuant

The document defines the Mass indicator using the high-low range. It first applies an exponential moving average to that range, then smooths the result with a second exponential moving average of the same length. The ratio of the first smoothed range to the…

Technical indicatorsVolatilityStatistics
SuperMind

This note describes a Chinese equity screening rule that selects Shanghai-listed stocks whose daily high-low range exceeds 1% of the previous close and whose 20-day moving average is above the 120-day average. The range condition is intended to find more…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese equity screen selects main board stocks with a daily amplitude above 1, an opening gain greater than 1% relative to the prior close, and a top-five rank by auction trading value. The proposed combination targets active stocks showing both price…

EquitiesChina marketsMomentumVolatility
Amberdata research

This newsletter connects a softer US inflation and labor market outlook with expectations for Federal Reserve rate cuts and possible support for crypto prices. It then frames Bitcoin’s decline in the context of German government sales and anticipated Mt. Gox…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This note describes a Chinese equity screening rule that combines daily price range, a stock-code prefix beginning with 60, and a positive institutional-flow measure. The accompanying indicator example defines range relative to the previous close and…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This indicator maps price to a 0–100 scale within standard deviation bands built around simple moving averages. Zero corresponds to the lower band and 100 to the upper band. It can calculate separate bands for monthly, weekly, daily, hourly, and minute data,…

Technical indicatorsVolatilityMulti-asset
MQL5 code base

This pattern indicator combines a smoothed Commodity Channel Index with Bollinger Bands. Its central signal occurs when price crosses an upper or lower Bollinger Band boundary while the CCI crosses its signal line. The default timeframe is five minutes. The…

Technical indicatorsMomentumVolatility
ProRealCode

This indicator combines a T3 moving average with an adaptive correction intended to flatten the output when changes are small relative to recent variability. The described calculation first forms T3 from a cascade of six exponential averages and a hotness…

Technical indicatorsVolatilityMean reversion
BigQuant

This study examines six smart beta factors in Chinese equities: size, value, low volatility, momentum, quality, and dividends. Its reported sample runs from July 2006 through November 2018. The summary finds differing absolute and risk-adjusted performance…

EquitiesFactor investingMomentumVolatility
Qlib

This Chinese-language post describes a short-term equity selection screen based on three conditions: prior-session price amplitude above a threshold, tradable share count at or below a stated limit, and appearance on the previous day’s exchange activity…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

The proposed stock screen combines a large daily range, a session with a gain of at least 10% during the previous 25 trading days, and three consecutive down sessions. The article frames this as a way to find volatile stocks that have shown strong upside and…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This document presents an A-share stock screen combining a daily price-movement condition, a minimum circulating market capitalization, and more than two limit-up sessions within a recent ten-day window. It frames these filters as a way to capture…

EquitiesChina marketsMomentumVolatility
SuperMind

This Chinese stock-selection proposal combines daily price amplitude, a rounded or curved price pattern relative to moving averages, and a measure described as today’s increase in position exceeding five percent. The discussion presents amplitude as a way to…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

TrendRange labels market conditions as weak or flat, medium, and strong. It represents each bar with a histogram value based on the candle’s point range multiplied by volume; for large price gaps, it uses the gap size multiplied by volume instead. This makes…

Technical indicatorsVolatilityTrend following
SuperMind

This stock screen combines a daily amplitude above 1%, a positive weekly MACD histogram, and a prior-day 9:15 matching price at the limit-down level. The article presents the matching-price condition as a possible clue about liquidity and market acceptance,…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This podcast recap discusses Bitcoin options-market conditions around the ETF narrative, including term structure, skew, and changes in inter-dealer flows. It also describes exchange structured products: Double-Win, a range-based payoff compared to a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article describes adjusting hedge ratios as crypto prices, implied volatility, and liquidity conditions change. For derivatives portfolios, it suggests rebalancing futures and options exposures, including strikes and expirations, to manage directional…

CryptoDerivatives pricingVolatilityRisk management
SuperMind

This proposed Chinese stock screen combines three conditions: an absolute price below 12 yuan, an opening move from the prior close of less than six percent at 9:25, and a price amplitude above one percent. The accompanying formula reference expresses the…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This stock-selection screen combines four filters: a daily price move greater than 1%, market capitalization no more than 10 billion yuan, positive net profit, and turnover between 3% and 12%. The accompanying rationale is that a meaningful price move and…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This market commentary links a risk-off episode to declines in stocks and crypto, stronger gold, increased volatility, and heavy leveraged liquidations. It compares perpetual futures with spot markets, arguing that forced selling and uneven order-book depth…

CryptoOptionsPerpetual futuresVolatility
SuperMind

This Chinese stock-screening recipe selects shares with daily amplitude above 1%, a newly formed KDJ crossover, and a ratio between 0.5 and 2 based on the prior day’s turnover rate and current auction activity relative to prior volume. The post includes…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document outlines a proposed A-share screen that excludes Beijing-listed stocks, selects shares whose high-to-low amplitude exceeds 1%, and looks for a prior-day 9:15 matching price equal to the limit-down price. It frames the amplitude filter as a way…

EquitiesChina marketsVolatilitySentiment