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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
WonderTrader
14 documents
Alphalens
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

Kraken Learn

This brief overview presents cryptocurrency volatility as a source of both opportunity and substantial downside. It notes that rapid price moves can contribute to investors losing some or all of their capital over a short period, so exposure needs to be…

CryptoVolatilityPosition sizingRisk management
BigQuant

This article explains Bollinger Bands as a moving average surrounded by upper and lower bands set a chosen number of standard deviations away. It walks through a small closing-price example and gives a second illustrative calculation using a 20-period…

Technical indicatorsVolatilityMean reversionTrend following
SuperMind

The document describes a Chinese equity screen combining three conditions: daily high-low amplitude above one, at least one daily gain of 10% or more in the prior 25 trading days, and parent-company net profit growth above 20% and no more than 100%. It…

EquitiesChina marketsVolatilityMomentum
Amberdata research

This year-end market note reviews Bitcoin and Ether volatility conditions around December 31, 2022. It describes unusually quiet Bitcoin trading, a sharp decline in seven-day realized volatility, and Deribit’s volatility index closing near its annual low.…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

This indicator estimates a separate average high-low range for each calendar month from the available monthly price history. For a January bar, for example, it uses the historical ranges of January bars to set the current band width. The range is centered on…

Technical indicatorsStatisticsVolatility
SuperMind

This post describes a Chinese stock screen that looks for price amplitude above a threshold, at least one large daily gain during the previous 25 trading days, and a ratio involving the prior day's turnover and the current auction volume relative to prior…

EquitiesChina marketsMomentumVolatility
SuperMind

This note outlines a Chinese equity screen based on a price-amplitude threshold of at least 1, circulating market value of at least 10 billion yuan, and a company-type classification labeled as a high-quality enterprise. It presents the combination as a way…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This note presents a Chinese stock screen combining a daily price range above 1%, a nonempty outstanding convertible-bond name, and at least two limit-up events over a 500-day window. The author frames the filters as measures of price volatility, company…

EquitiesChina marketsVolatilityBreakout
SuperMind

This note describes a Chinese equity screen that adds a stock to a candidate pool when its daily high-to-low range exceeds 1%, the KDJ indicator has just crossed upward, and its tradable share count is at most 5.5 billion. It explains the range as a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening proposal combines three daily conditions: price amplitude above 1%, absolute large-order net volume above 0.05 for at least three consecutive sessions, and a six-period RSI below 65. The author presents the combination as a way…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This document describes a Chinese A-share screening rule combining daily price range, recent limit-up activity, market capitalization, and positive earnings per share. It selects stocks with an intraday high-low range above 1%, at least one limit-up day in…

EquitiesChina marketsVolatilityBreakout
pysystemtrade

This configuration module sets parameters for a fast mean-reversion futures strategy and derives operating bounds for its estimated price range, R. It estimates that range from hourly high-low data: zero ranges are discarded, a rolling average is taken, and…

FuturesMean reversionVolatilityRisk management
ProRealCode

Dynamic Flow Ribbons is presented as a trend-following chart indicator that builds upper and lower bands around a short moving average of typical price. Its band distance is based on a long average of the high-low range, scaled by a configurable factor. The…

Technical indicatorsTrend followingVolatilityForex
Amberdata research

This weekly market note reviews crypto options and volatility conditions around US inflation and Federal Reserve announcements in December 2022. It describes short-dated Bitcoin implied volatility rising ahead of CPI, then falling after the releases, while…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This article describes a short-term stock screen that combines daily amplitude above 1, a daily loss between 4% and 5%, and a “round arc” chart pattern. It presents the pattern as a way to identify possible support and resistance areas, while the amplitude…

EquitiesTechnical indicatorsVolatilityRisk management
MQL5 code base

The document describes an updated step stochastic indicator and lists changes to its implementation and configuration. It says the calculation has been rewritten as a reusable function, with alert support and multi-timeframe operation. Users can choose among…

Technical indicatorsVolatilityBacktesting
ProRealCode

The document introduces HalfTrend as a trend indicator whose direction changes when a simple moving average breaches a recent high or low. It outlines several variations: a classic form, a configurable moving average with optional Heikin Ashi candles, a…

Technical indicatorsTrend followingVolatility
SuperMind

This screening proposal selects Chinese stocks using three conditions: amplitude above a stated threshold, a K-line-related value below a threshold, and circulating market capitalization within a specified band. The text presents the market-cap range as 5–10…

China marketsEquitiesTechnical indicatorsVolatility
MQL5 code base

This indicator adapts channel boundaries using a Euclidean-distance basis. It displays an upper red boundary and a lower blue boundary, alongside a gray standard Donchian channel for comparison. The description frames the adaptive channel as a way to respond…

Technical indicatorsVolatility
SuperMind

This document describes a stock screen combining daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and turnover between 3% and 12%. It presents amplitude as a way to find more volatile stocks, the float-size ceiling as a…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This ProRealTime indicator replaces the usual Ichimoku midpoint lines with Hull moving averages to create a smoother cloud. A close crossing beyond the displaced cloud becomes a candidate breakout. The indicator scores candidates using RSI, stochastic…

EquitiesTechnical indicatorsBreakoutMomentum
MQL5 code base

This indicator description explains how a Heiken-Ashi smoothed volatility-step histogram can highlight a chosen trading session. Users set session start and end times and a trigger level. Bars outside the session appear pale gray; within it, bars above the…

Technical indicatorsVolatilityExecution
MQL5 code base

This overview explains a classical Keltner Channel as a three-line, volatility-based indicator. The middle line is a moving average of typical price, while upper and lower bands are formed by adding or subtracting a moving average of the high-low range. The…

Technical indicatorsVolatilityBreakoutTrend following
SuperMind

This note describes an A-share stock screen combining a daily price-range threshold, a 2021 date filter, and an increase in the K value of the KDJ indicator. Its indicator example adds conditions involving K crossing above D and reaching a high level; the…

China marketsEquitiesTechnical indicatorsMomentum