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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

SuperMind

This post describes a short-term China equity screen for stocks whose prior-day price amplitude exceeds a threshold, that appeared on the previous day’s trading activity list with buy value greater than sell value, and that are outside the STAR Market. The…

EquitiesChina marketsVolatilityExecution
SuperMind

This Chinese A-share screening rule combines three conditions: daily high-to-low movement above 1%, a newly formed KDJ crossover, and prior-day actual turnover between 3% and 28%. The article interprets larger daily ranges as higher volatility, the crossover…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

The document outlines a framework for estimating implied volatility and theoretical option values for altcoins without actively traded options. An Altcoin SVI endpoint bootstraps volatility curves and recalibrates them every 24 hours for 7-day and 30-day…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This Chinese stock-selection proposal combines a daily amplitude threshold above 1, a 9:25 price rise below 6%, and an auction move between −2% and 5%. Its rationale is to screen for volatility and pre-open price behavior. The post also gives example formula…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

This research summary reviews the low-volatility equity factor across overseas markets and mainland Chinese shares. It describes the behavioral explanation that highly volatile stocks may be more vulnerable to speculation and rich valuations, while…

EquitiesChina marketsVolatilityFactor investing
SuperMind

The document describes a stock screen that selects shares with a daily high-to-low range above 1%, dates in 2021, and positive large-order net inflows in the afternoon. It presents the range as a way to find more volatile stocks and treats afternoon inflows…

EquitiesVolatilityChina marketsRisk management
MQL5 code base

The document describes a velocity indicator framed as a smoother form of momentum that does not introduce lag. It offers four calculation presentations: unnormalized velocity, normalization by average true range, and normalization by standard deviation with…

Technical indicatorsMomentumTrend followingVolatility
Stratmill research code

This data-preparation workflow builds model inputs for a momentum strategy from asset closing prices. It clips prices using bounds based on an exponentially weighted mean and standard deviation, derives daily returns and volatility, and creates a next-period…

Machine learningMomentumVolatilityTechnical indicators
ProRealCode

This document explains a trend indicator that combines an FDI-based adaptive window, a triangular moving average, and a Jurik filter. Its averaging period contracts in cleaner trends and expands in noisier conditions; Jurik smoothing is then applied to…

Technical indicatorsTrend followingVolatilityRisk management
Amberdata research

This market recap interprets a sharp Bitcoin rally and concurrent Ethereum strength through realized and implied volatility, term structure, skew, option flows, and dealer gamma. It reports that volatility rose as spot advanced, options buyers chased upside…

CryptoOptionsVolatilityMarket microstructure
SuperMind

This Chinese stock-selection proposal screens for amplitude above 1, a turnover-based measure between 0.5 and 2, and a K value below 20. The turnover measure is described as yesterday’s turnover rate multiplied by today’s auction volume divided by…

EquitiesTechnical indicatorsVolatilityChina markets
MQL5 code base

The JFatlCandle indicator displays candles with two colored channels derived from standard deviations of the indicator candles' highs and lows. Its inputs include JMA smoothing depth and phase, a point gap, a Bollinger period, and a deviation setting. The…

Technical indicatorsVolatility
SuperMind

The document describes a Chinese equity screen combining daily price range, recent returns, market capitalization, and profitability. It looks for stocks with a range above 1%, positive but below 35% returns over ten days, market value below 10 billion yuan,…

EquitiesChina marketsMomentumVolatility
MQL5 code base

The scanner displays two normalized measures for each candle: its body size relative to the average body and its high-to-low range relative to the average range, with both averages based on the previous 100 candles. It arranges readings from the current…

VolatilityTechnical indicatorsForex
SuperMind

This Chinese-language post describes an equity screen combining three conditions: daily amplitude above a threshold, a prior-day proxy for major-player control based on price relative to its five-day average, and at least one limit-up event during the past…

EquitiesVolatilityMomentumTechnical indicators
MQL5 code base

This document describes a chart dashboard that brings several technical readings together: current and higher-timeframe trend, RSI, ATR relative to its average, a recent high-low channel, average daily range usage, and spread. A combined bias label is…

Technical indicatorsBreakoutTrend followingVolatility
ProRealCode

This scalping indicator combines moving-average alignment with candle retracement levels to generate long and short signals. It identifies a broader direction from several simple and exponential moving averages, then looks for a bar that retraces by a…

Technical indicatorsRisk managementVolatilityExecution
ProRealCode

This indicator combines the conventional MACD and signal line with a polynomially fitted center of gravity. The center is calculated from historical values of the midpoint between MACD and its signal line, while standard-deviation bands measure how far those…

Technical indicatorsMomentumVolatility
SuperMind

This Chinese equity-screening note proposes selecting stocks with amplitude above 1, a main-force-control condition from the prior day, and floating market capitalization above 10 billion yuan. It interprets amplitude as a sign of greater price movement, the…

EquitiesChina marketsVolatilityRisk management
Amberdata research

This market snapshot reviews digital asset conditions across spot and derivatives markets, exchange-traded fund flows, stablecoins, and DeFi lending. It reports a shift in Bitcoin perpetual funding from negative to positive, tighter BTC and ETH spreads,…

CryptoPerpetual futuresMarket microstructureVolatility
MQL5 code base

This document describes a MetaTrader 5 version of the Super Trend indicator. It identifies the version as the first of two variants and says its calculation is based on Commodity Channel Index (CCI) values. It also supports a configurable Average True Range…

Technical indicatorsVolatilityTrend following
SuperMind

This stock-selection note proposes combining three filters: daily price amplitude above a threshold, a current low below the previous day’s low, and a dividend ratio above a stated level for 2019. The first two conditions identify volatile stocks making a…

EquitiesChina marketsVolatilityFactor investing