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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
Quantpedia
86 documents
TqSdk
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

ProRealCode

The TTI ATR Extreme is an oscillator-style channel built from price deviations around moving averages and scaled by recent average true range. It uses a 14-period ATR relative to closing price and compares the close with a 40-period exponential average to…

Technical indicatorsVolatilityBreakoutMean reversion
MQL5 code base

The William Blau Candlestick Index is presented as a smoothed oscillator built from candlestick momentum. Its calculation applies three successive exponential moving averages to candlestick momentum, then divides that result by a similarly smoothed measure…

Technical indicatorsMomentumVolatility
MQL5 code base

The document outlines an MQL5 method for identifying and ranking support and resistance zones. Its stated components are confirmed pivot detection, merging nearby zones according to average true range (ATR), and assigning each zone an internal strength…

Technical indicatorsVolatility
ProRealCode

This indicator combines a manually constructed Hull moving average, an adaptive Kalman filter, and ATR-based Supertrend bands. It measures the gap between each new Hull value and the filter’s prior estimate, scales that innovation by volatility, and passes…

Trend followingTechnical indicatorsVolatilityRisk management
ProRealCode

This document describes a trend-following line calculated using Average True Range (ATR), the Commodity Channel Index (CCI), and adjustable parameters. The line is plotted over price and changes color with its direction: green indicates an upward regime and…

Technical indicatorsTrend followingVolatility
MQL5 code base

The system enters when a bar closes and the EF distance indicator shows a change in the direction of its moving average. A separate Flat-Trend volatility indicator can filter entries according to whether trend force is sufficient; a configurable volatility…

ForexTrend followingVolatilityTechnical indicators
BigQuant

The document raises a visualization concern: a smooth backtest equity curve may conceal the size of fluctuations a strategy could experience in practice. It proposes displaying results as daily candles, including each day’s high and low, so readers can see…

BacktestingRisk managementVolatility
SuperMind

This stock screen combines a volatility condition, a recent large daily gain, and the presence of an outstanding convertible bond. It aims to identify stocks with notable recent price movement and a particular financing characteristic. The document also…

EquitiesVolatilityMomentumTechnical indicators
Cryptohopper blog

This general guide links crypto market volatility to small market size, speculation and sentiment, regulatory developments, and changes in the global economy. It recommends researching trades, learning from past mistakes, following a plan, and accepting that…

CryptoVolatilityRisk managementPortfolio construction
BigQuant

This report overview argues that commodity price forecasts should combine fundamental and technical analysis. It groups actively traded Chinese commodity futures into five broad sectors—ferrous materials, chemicals, agriculture, nonferrous metals, and…

CommoditiesFuturesVolatilityTechnical indicators
Amberdata research

This mid-week derivatives recap summarizes conditions in Bitcoin and Ethereum options. It reports that realized volatility recovered during the week, while both assets’ volatility term structures moved lower; Bitcoin’s curve shifted further into contango. As…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

The JJN-Scalper indicator displays a proposed entry level together with take-profit and stop-loss levels. The exits are based on the average true range, whose lookback period can be changed. It is intended for charts at five-minute intervals or higher, and…

Technical indicatorsTrend followingVolatilityRisk management
MQL5 code base

This note describes a version of the Volatility Quality indicator attributed to Thomas Stridsman. Instead of estimating trend with two moving averages, it uses the indicator’s slope and presents color changes as potential signals. The indicator is designed…

Technical indicatorsVolatilityTrend following
SuperMind

The document outlines an equity screen combining a daily price-range threshold, a turnover-rate band, and membership in the beverage and alcohol industry. It presents the filters as a way to identify active stocks in a sector whose demand may influence…

EquitiesTechnical indicatorsVolatilityRisk management
ProRealCode

This indicator design extends SuperTrend with an efficiency-weighted ATR and a four-part Trend Quality Index (TQI) based on price efficiency, volume or volatility regime, position within a recent range, and directional persistence. TQI adjusts the stop and…

Technical indicatorsTrend followingVolatilityPosition sizing
ProRealCode

This is a long-only reversal strategy described for the DAX or GER30 on an hourly chart. It calculates a lower band from a 100-period moving average minus one 10-period standard deviation. A position is opened when price falls below 97.5% of that band, RSI…

FuturesMean reversionVolatilityTechnical indicators
SuperMind

The document proposes screening stocks for daily price amplitude above 1%, MACD above its zero line, and turnover between 3% and 12%. It interprets the amplitude condition as selecting volatile shares, positive MACD as indicating upward price momentum, and…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

The document describes a Chinese equity screening rule that selects stocks with a daily trading range above a threshold, excludes stocks that hit the daily price limit on the prior day, and requires the latest weekly candle to close above its open. It…

EquitiesTechnical indicatorsVolatilityChina markets
Amberdata research

This market commentary argues that quiet spot trading, low realized volatility, and a steep options term structure favor a near-term short-volatility bias in Bitcoin and Ether. It notes that scheduled inflation releases and a potential Bitcoin spot ETF…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This document proposes a Chinese equity screen combining three conditions: a price range threshold, a shrinking negative MACD histogram on a 15-minute chart, and a proprietary daily control measure above a threshold. The stated rationale is to find more…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

The Hans indicator draws time-based price corridors with a filled background and a center line. The description says the initial corridor spans four hours and its expansion spans sixteen hours. The listed inputs allow the user to set the original…

Technical indicatorsVolatilityForex
Cryptohopper blog

This guide explains what OHLCV candles record and how traders can use candle histories for crypto market analysis. Each bar summarizes the opening, highest, lowest, and closing prices plus traded volume within a fixed interval. The article compares…

CryptoTechnical indicatorsVolatilityBacktesting
SuperMind

This note describes a daily equity screen for stocks whose codes begin with 60. It requires the day's high-low range to exceed 1% of the previous close, then combines prior-day turnover with the ratio of current auction volume to the previous day's volume.…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This post describes a Chinese stock screen combining amplitude above 1, a rounded price pattern, and an intraday low between 4% and 5% below the previous close. It provides a technical-indicator formula that also applies time and recent-history conditions.…

EquitiesTechnical indicatorsVolatilityRisk management