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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

SuperMind

This post presents a Chinese equity screen using three conditions: price amplitude above 1%, rising bottoms, and previous-session trading value above 60 million. It frames the amplitude as a way to find more volatile shares, rising lows as evidence of a…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This document proposes screening Chinese A-shares for a daily price range above a threshold, observations dated in a specified calendar year, and a condition described as recent main-force control. Its example implementation approximates the last condition…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This document outlines a proposed A-share stock screen built around daily price range, a specified closing price, and a beverage and alcohol import-export industry classification. Its expanded version adds industry leadership, profit growth, a market…

EquitiesChina marketsVolatilityStatistics
ProRealCode

This indicator description combines volatility bands for trend classification with swing-anchored VWAP signals. A double exponential moving average forms the centerline, and bands are placed three ATRs above and below it. A close beyond a band changes the…

Technical indicatorsTrend followingBreakoutVolatility
MQL5 code base

This note defines a stochastic oscillator built from William’s Vix Fix (WVF), rather than directly from price. WVF is calculated using the gap between the highest close over a chosen period and the current low, scaled by that highest close. Over the…

Technical indicatorsVolatilityStatistics
MQL5 code base

This listing describes an overbought and oversold oscillator that displays directional movement as a color-coded histogram in a separate chart window. Its calculation starts from weighted price, defined using the high, low, and closing prices with the close…

Technical indicatorsStatisticsVolatility
ProRealCode

The indicator builds a separate volume profile for each completed price swing, plus a live profile for the swing still forming. It identifies swing highs and lows with a configurable lookback, then divides each leg’s price range into bins sized using half of…

Technical indicatorsMarket microstructureVolatility
Amberdata research

This market recap examines BTC and ETH options as realized volatility eased during a rebound. It describes falling front-end implied volatility, term structures returning to contango, changes in skew, and relative value between ETH and BTC. The author…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter argues that further steepening in US and other sovereign yield curves could signal fiscal strain, currency debasement, and shifting central bank policy. It outlines a possible sequence: central banks lower short-term rates, governments rely…

CryptoFixed incomeOptionsVolatility
MQL5 code base

The PriceSpeed indicator measures average price movement in points per minute and adds estimates of real and false peak speeds. Average speed is presented as potentially useful for assessing trends, while peak-speed measures are intended to help identify…

Technical indicatorsVolatilityBreakoutMomentum
ProRealCode

The indicator adjusts its moving-average period according to how many recent bars it takes for the high-to-low range to reach a chosen percentage of the current price. A wider move reached quickly produces a shorter period and a more responsive average;…

Technical indicatorsVolatility
Amberdata research

This market recap interprets changes in Bitcoin and Ether options volatility, term structure, skew, trading flows, and dealer gamma. It links falling implied volatility—especially in Ether—to call overwriting in March and April expiries, while describing…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This guide describes an intraday breakout approach built around the high and low formed during a configured Asian session. Once the session ends, traders watch for a move beyond either boundary. A candle close outside the range provides slower confirmation…

BreakoutForexTechnical indicatorsRisk management
SuperMind

This document describes a simple A-share screen combining three filters: price amplitude above one, positive price-to-earnings ratio, and association with the metaverse theme. It presents amplitude as a way to find more volatile stocks, positive P/E as a…

EquitiesVolatilityChina markets
SuperMind

This Chinese equity screen looks for stocks whose amplitude exceeds 1, whose high equals the highest high over two days, and whose close lies between the Bollinger middle band and upper band. The article supplies indicator formulas and illustrative…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This December 2024 derivatives newsletter reviews Bitcoin’s move above $100,000, subsequent liquidations and price retreat, and volatility in Bitcoin and Ethereum options. It relates the market moves to macroeconomic releases and regulatory news, then…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This document outlines a Chinese stock-selection screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above 1%, and requires the 30-day average closing price to be rising. It gives formula and Python-style examples for…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This market commentary reviews Bitcoin and Ethereum options conditions around late July 2023. It relates expected volatility to upcoming US economic releases, spot-market ranges, implied and realized volatility, and the shape of the term structure. The…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

This indicator modifies a variable moving average (VMA) by using Adam White’s Vertical Horizontal Filter (VHF) as its variable input. In the VMA formula, the current price and prior average are blended using a smoothing constant multiplied by a measure of…

Technical indicatorsVolatilityTrend following
MQL5 code base

The document describes a chart indicator that plots three Bollinger Band channels based on one moving average as a colored cloud. It displays the latest band values as price labels and can round Bollinger levels to a chosen number of digits. Those rounded…

Technical indicatorsVolatility
SuperMind

This document proposes a stock screen combining three conditions: daily high-to-low range above one percent, a reversal or engulfing-style candle pattern, and membership in a beverage and alcohol import-export industry category. It gives illustrative formula…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This post describes a Chinese equity screen using three conditions: price amplitude above a threshold, circulating market capitalization above 10 billion yuan, and today’s low below yesterday’s low. It presents these as filters for volatility, company scale,…

China marketsEquitiesTechnical indicatorsVolatility
Amberdata research

This podcast introduction profiles a crypto fund manager whose trading developed from early Bitcoin spot trading to technical analysis and then options. After working at a small fund, he launched a boutique operation focused mainly on selling options, using…

CryptoOptionsFuturesVolatility
Amberdata research

This market commentary examines Bitcoin and Ether options during a sharp crypto rally in February 2023. It discusses backwardation in Bitcoin’s term structure, short-dated risk-reversal skew, implied versus realized volatility, option volumes, and dealer…

CryptoOptionsVolatilityMarket microstructure