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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

SuperMind

This document outlines a stock screen based on three conditions: price amplitude above 1%, MACD crossing above its zero line, and listing age exceeding a specified period. The proposed interpretation is that a wider trading range signals activity, a positive…

EquitiesChina marketsMomentumVolatility
SuperMind

The document describes a stock screen requiring daily price movement above a stated amplitude threshold, a nonempty name for an outstanding convertible bond, and an RSI reading below 65. It presents the bond condition as a possible signal of corporate…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

The document describes the Corrected Average, also called the Optimal Moving Average, as a smoothed price indicator. It starts from a simple moving average and compares the gap between that average and the prior corrected value with recent price volatility.…

Technical indicatorsVolatilityTrend following
SuperMind

This article proposes a Chinese stock screen based on high daily price range, at least one daily gain of 10% or more within the prior 25 trading days, and a listing-age condition. It frames these filters as a way to find active, strong-performing shares,…

China marketsEquitiesVolatilityMomentum
ProRealCode

This indicator combines an ATR-based trailing level with the Commodity Channel Index (CCI) to mark bullish and bearish states. When CCI is above its configurable threshold, the bullish level is set below the low by an ATR amount and is prevented from falling…

Technical indicatorsTrend followingVolatility
Amberdata research

The newsletter links geopolitical tension involving Iran to volatility in oil, precious metals, and risk assets, arguing that broader risk sentiment may set crypto’s near-term direction. It reviews macro events but gives greater weight to geopolitics and…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This A-share screen looks for stocks with daily price amplitude above 1%, a volume ratio between 1.5 and 6, and at least one daily gain of 10% or more during the preceding 25 trading days. The stated logic seeks active but not extreme trading and recent…

EquitiesChina marketsVolatilityMomentum
SuperMind

This post describes a Chinese A-share screening rule that combines daily price range with a fresh KDJ crossover and excludes Beijing-listed stocks. The range filter looks for movement greater than one percent, while the KDJ condition requires the J line to…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This brief summary of a multi-factor stock-selection report describes three ways to refine traditional factors using high-frequency returns. High-frequency return variance is presented as a closer measure of volatility than variance calculated from daily…

EquitiesFactor investingStatisticsVolatility
ProRealCode

The indicator marks recent price highs and lows at two scales: major swings use a longer lookback, while minor swings use a shorter one. The stated purpose is to help identify trend structure and periods when prices are ranging, drawing on Dow theory. Both…

Technical indicatorsTrend followingVolatility
MQL5 code base

The document describes MACD_Xtr, a MACD variant that marks adaptive overbought and oversold zones with colored bands and changes histogram bar colors when MACD enters those zones. Its central design problem is adapting the zone levels without waiting for the…

Technical indicatorsVolatility
ProRealCode

This indicator adapts Bollinger %b by using a Heikin-Ashi close and TEMA smoothing. It calculates a zero-lag style smoothed price series, then positions that series relative to a weighted average and standard-deviation bands. The output is a bounded…

Technical indicatorsVolatilityMean reversion
BigQuant

This research summary tests whether splitting stock volatility into components yields useful selection signals from high-frequency returns. The reported system-versus-idiosyncratic volatility split performs poorly at the one-minute sampling interval; its…

EquitiesFactor investingVolatilityStatistics
Amberdata research

The article explains call/put skew as the difference in implied volatility between comparable options. Higher call implied volatility is interpreted as stronger demand for upside exposure, while higher put implied volatility suggests greater demand for…

CryptoOptionsVolatilitySentiment
SuperMind

This document proposes a stock screen combining a price range condition, a shrinking negative MACD histogram on a 15-minute chart, and at least one daily gain of 10% or more within the recent 25 trading days. It frames the range filter as a way to find…

EquitiesMomentumVolatilityTechnical indicators
ProRealCode

The document presents a chart indicator that combines a MACD histogram, a volatility squeeze condition, and RSI-based coloring. It defines a squeeze using Bollinger Bands contained within Keltner Channels, then colors the MACD histogram according to whether…

Technical indicatorsVolatilityMomentumBacktesting
MQL5 code base

The document outlines an expert advisor that places grid orders using average true range values. Its inputs include a profit target tied to invested capital, a moving-average period intended to assess trend, a multiplier that scales each new order from the…

Grid tradingVolatilityTechnical indicatorsPosition sizing
MQL5 code base

The QQE Histo indicator is described as a smoothed Relative Strength Index paired with fast and slow trailing levels based on volatility. These components adapt the RSI reading with price movement and provide two reference levels for interpreting the…

Technical indicatorsVolatilityMomentum
SuperMind

This note describes a Chinese A-share screen for robotics concept stocks. It requires daily amplitude above 1, a signal labeled as main-force control on the prior day, and circulating market capitalization below 10 billion yuan. Its indicator references…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This market recap reviews crypto options conditions after an early-month rally, focusing on realized and implied volatility, term structure, skew, trading flows, and dealer gamma. It reports higher realized volatility in BTC and ETH, stronger demand for…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This brief description introduces a MetaTrader 5 indicator that plots a price channel and Fibonacci levels using the latest peaks identified by a parabolic ZigZag. It is a technical-analysis visualization: the document explains the source of the levels but…

Technical indicatorsVolatility
SuperMind

This post describes a Chinese stock screen that selects shares with price amplitude above 1 and positive institutional fund flow, while excluding Beijing-listed A shares. The accompanying indicator example defines fund direction by summing net institutional…

EquitiesChina marketsVolatilityStatistics
SuperMind

This post outlines a China A-share stock screen using daily price amplitude, opening-auction amount rank, and volume ratio. It selects stocks with amplitude above 1, ranks them by auction amount to keep the top five, and applies a volume-ratio band above 1.5…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

The indicator looks for possible exhaustion in price movement by identifying repeated long wicks near RSI-defined oversold or overbought zones. For a bullish signal, it checks three candles for lower wicks extending below their bodies, with wick depth…

Technical indicatorsMean reversionVolatilityBacktesting