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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

MQL5 code base

This document introduces Price Headley’s Acceleration Bands as a volatility-based indicator intended to identify a move as it begins to trend. The bands are calculated over a user-selected number of bars, with a simple moving average as the midpoint and…

Technical indicatorsVolatilityBreakout
MQL5 code base

The Range To Range (RTR) oscillator compares recent and longer-term volatility by dividing a fast-period Average True Range (ATR) by a slow-period ATR, then scaling the ratio by 100. Its two inputs are the periods used for the fast and slow ATR calculations.…

Technical indicatorsVolatilityStatistics
MQL5 code base

This indicator adapts the Volatility Quality concept attributed to Thomas Stridsman. Rather than estimating trend with moving averages, this version uses the indicator’s slope and treats color changes as potential signals. The document gives no detailed…

Technical indicatorsVolatilityTrend following
SuperMind

This Supermind stock screen combines a daily range greater than 1%, a reversal-style candle pattern, trading volume above 10,000 lots, and a positive session in which the close exceeds the open. The article provides indicator-formula and Python examples,…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This stock-screening idea combines three conditions: prior-day price amplitude above 1%, appearance on the previous day’s trading activity leaderboard, and a buy-side versus sell-side activity ratio above 1.3. The document offers example indicator and Python…

EquitiesVolatilityMarket microstructureTechnical indicators
SuperMind

This short-term Chinese equity screen combines three conditions: a price amplitude above one, a ranking among the top five stocks by the day’s auction amount, and an appearance on the prior day’s Dragon Tiger List. The article frames the amplitude condition…

China marketsEquitiesVolatilityMarket microstructure
SuperMind

This stock selection method combines a daily price range filter with two technical crossover signals. It selects stocks whose high-to-low range exceeds one percent, where the KDJ J line has just crossed above its D line, and where the weekly five-period…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document presents a short-term stock screen using three conditions: daily amplitude above 1%, a current-day decline between 4% and 5%, and at least one daily gain of 10% or more during the preceding 25 trading sessions. The intended use is to identify…

EquitiesChina marketsMomentumVolatility
SuperMind

This document describes a Chinese A-share screening rule that combines daily amplitude above 1%, a newly formed KDJ crossover, exclusion of ST-designated stocks, and consecutive limit-up sessions within the recent five-day window. It proposes placing…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

The document describes an indicator that estimates volatility, directional price amplitude, and the difference between them. It builds range-based trend levels, counts price behavior relative to a trend line, and uses those counts to set a lookback period…

Technical indicatorsVolatilityRisk managementMulti-asset
ProRealCode

The indicator combines adaptive smoothing, a direction-sensitive trend filter, and volatility bands to depict trend direction and possible support or resistance areas. It estimates slope relative to ATR and uses that direction to select an averaged high or…

Trend followingTechnical indicatorsVolatility
Amberdata research

This market recap discusses Bitcoin and Ether options through realized volatility, implied volatility term structure, skew, and relative value. It reports that realized volatility was in the 40s, front-end implied volatility fell by 3–5 volatility points,…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This document explains a MetaTrader 5 SuperTrend indicator built from an Average True Range based envelope, bands that ratchet in the direction of an established trend, and a binary trend state. The trend changes only when price closes beyond the band on the…

Technical indicatorsTrend followingVolatility
SuperMind

This Chinese-market stock screen selects securities whose codes begin with 60, whose daily high-low range exceeds 1% of the previous close, and whose stated ownership concentration is no more than 70%. The article describes concentration as the combined…

EquitiesChina marketsVolatilityRisk management
Amberdata research

This document explains an informational chart panel that flags unusually large price bars as possible news-driven volatility. Its core calculation compares the current bar’s high-low range with an ATR baseline multiplied by a user-set threshold. A trader can…

VolatilityTechnical indicatorsRisk managementPosition sizing
SuperMind

This Chinese equity screening proposal combines three conditions: amplitude above 1, at least one daily gain of 10% or more during the previous 25 trading days, and an opening auction move between -2% and 5%. The post frames the first two as ways to find…

EquitiesTechnical indicatorsMomentumVolatility
ProRealCode

This indicator smooths a price series with a four-stage Laguerre filter and adjusts its Gamma parameter using recent average true range. The stated goal is to make the smoothing respond to current market movement. It then builds upper and lower adaptive…

Technical indicatorsVolatility
SuperMind

The article describes a stock-selection screen for Chinese A-shares. It selects stocks with a daily high-low range above one percent, at least one limit-up day during the preceding 25 trading days, and excludes Beijing-listed shares. The rationale offered is…

EquitiesChina marketsMomentumVolatility
SuperMind

The document describes a Chinese equities screen combining three conditions: price amplitude above a threshold, appearance on the prior day’s trading activity list, and a dividend measure above a threshold for 2019. It explains that amplitude is intended to…

EquitiesChina marketsVolatilityEvent-driven
pysystemtrade

This configuration describes a multi-asset systematic trading framework that combines rules for breakouts, relative and absolute momentum, moving-average trends, carry, acceleration, and skew-related factors. The rules use multiple horizons and include…

Multi-assetTrend followingMomentumCarry
SuperMind

The document describes a stock screen combining amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a circulating market value between 5 billion and 10 billion yuan. It presents the criteria as a way to find relatively active…

EquitiesChina marketsTechnical indicatorsVolatility
MQL5 code base

This indicator identifies fair value gap zones, marks a zone as inverted when a candle body closes through it, and can signal a later bounce from the flipped zone. The design tracks gaps and their lifecycle, including creation, inversion, active status, and…

Technical indicatorsVolatilityExecutionBacktesting
BigQuant

The article presents a scenario analysis of how sustained high crude prices could affect energy-importing and energy-exporting economies. It argues that higher energy costs may shift income toward resource exporters, raise manufacturing expenses in importing…

CommoditiesVolatilityMulti-asset
MQL5 code base

The InverseReaction indicator looks for unusually large, gap-free price changes relative to estimated volatility limits. It plots price changes alongside one or more confidence thresholds; a break above a threshold is treated as a possible precursor to a…

ForexVolatilityMean reversionTechnical indicators