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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

The document proposes a stock screen using three conditions: daily high-to-low amplitude above 1%, a K-line-related value below 20, and prior-day turnover above 8%. It frames amplitude as a volatility filter, the K-line threshold as a low-position condition,…

EquitiesTechnical indicatorsVolatility
SuperMind

This document describes a Chinese A-share screening rule that combines daily price range, recent limit-up activity, and a bullish candle condition. It selects stocks whose high-to-low range exceeds 1%, that had at least one limit-up day in the prior 25…

EquitiesChina marketsTechnical indicatorsVolatility
ProRealCode

The Super Arrow indicator combines several technical conditions to display upward and downward arrows on a price chart. Its described inputs include a fast and slow moving average, RSI, Bollinger Bands, and Bulls Power and Bears Power measures. It also…

Technical indicatorsMomentumBreakoutVolatility
SuperMind

The document describes a stock screen combining daily price range, a calendar-year condition, and a stock-code prefix. It treats a range above 1% as a sign of higher volatility and selects securities whose codes begin with 60. The supplied indicator and…

EquitiesChina marketsVolatilityTechnical indicators
ProRealCode

This indicator displays nested daily-range zones derived from average high-to-low movement over several lookback windows, including a 20-day measure. It draws rectangles around the current day’s range and marks levels offset from the current daily high and…

Technical indicatorsVolatilityRisk managementFutures
Amberdata research

This market recap examines BTC and ETH options during a sharp rally. It describes realized and implied volatility rising, with BTC’s move and volatility increase stronger than ETH’s. The commentary notes that higher short-dated implied volatility can leave…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This post outlines a Chinese stock selection method using three signals: daily amplitude above 1, a daily control measure above 21, and large-order net flow above 0.05 for at least three consecutive days. It interprets the range measure as a volatility…

EquitiesChina marketsVolatilityMarket microstructure
SuperMind

The document describes a Chinese equity screen combining daily price amplitude above 1%, a freely traded share count no greater than 5.5 billion, and weekly MACD above zero. It presents these filters as a way to find relatively volatile small-cap stocks with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screen that combines three conditions: price amplitude above 1%, a circulating share count no greater than 5.5 billion, and year-over-year growth in parent-attributable net profit above 20% and no more than 100%. It…

EquitiesChina marketsFactor investingVolatility
SuperMind

This Chinese stock selection method combines three signals: daily amplitude above one percent, large-order net inflow in the afternoon, and a rising short-term price floor. The article gives indicator formulas and a Python example intended to screen stocks…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This market commentary reviews BTC and ETH options conditions around a period of spot weakness, recovery, and anticipation of a US presidential debate. It reports comparatively stable realized volatility, higher front-end implied volatility, positive carry…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly commentary interprets Bitcoin and Ether options markets around scheduled US inflation and Federal Reserve announcements in December 2022. It compares implied volatility with realized volatility, arguing that a wide volatility risk premium…

CryptoOptionsVolatilityEvent-driven
SuperMind

This stock-screening idea combines four conditions: daily high-low range greater than 1% of the previous close, a code beginning with 60, a beverage-alcohol industry classification, and market value of at least 1 billion yuan. The article interprets the…

EquitiesChina marketsVolatilityFactor investing
MQL5 code base

This indicator compares the Average True Range (ATR) with an average of ATR and displays their difference as a color histogram. Yellow marks periods when ATR is above its average, while dark blue marks periods when it is below. The display is intended to…

VolatilityTechnical indicatorsForex
ProRealCode

This indicator applies Bollinger-style bands to an RSI series. It smooths RSI with an exponential moving average, estimates dispersion using a rolling standard deviation, and defines a narrower zone around the basis. An upward RSI cross through the upper…

Technical indicatorsMean reversionVolatility
SuperMind

This document proposes a stock watchlist screen that selects shares with daily amplitude above a threshold, at least one limit-up event during the prior 25 days, and high ranking by market attention. It frames amplitude as a way to find volatile stocks, a…

EquitiesMomentumVolatilitySentiment
Hummingbot docs

This article derives adaptations of the Avellaneda–Stoikov limit-order market-making model for a crypto trading bot. It starts with the reservation price, which shifts relative to the mid-price according to inventory, risk aversion, volatility, and time…

CryptoMarket makingVolatilityRisk management
Amberdata research

This market recap examines BTC and ETH options through realized volatility, volatility carry, expiry term structures, relative value, option flows, and dealer gamma. It describes rising BTC volatility after a spot advance, comparatively steady ETH…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

The Market Thermometer is an indicator described in Alexander Elder’s trading book. It estimates intraday volatility by measuring how far the current high or low extends beyond the previous bar’s range. It compares this measure with an exponential moving…

VolatilityTechnical indicators
MQL5 code base

The document describes a relative strength index monitoring tool with optional faster-reacting RSI calculations, automatic bullish and bearish divergence detection, and a combined bias score across timeframes. Its divergence logic is said to require…

Technical indicatorsMomentumVolatility
Amberdata research

This market snapshot reviews how tariff news, Treasury yields, inflation, and employment data shaped crypto trading conditions. It describes an initial decline in Bitcoin, Ethereum, and Solana followed by a rebound as bond markets stabilized, while warning…

CryptoSentimentOn-chain dataPerpetual futures
SuperMind

This proposed A-share screen combines a daily price-move condition, the presence of a nonempty name for an outstanding convertible bond, and turnover between 3% and 12%. The article presents the combination as a way to find stocks with movement and moderate…

EquitiesChina marketsTechnical indicatorsVolatility