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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

8,116 documents

MQL5 code base

The Value Chart is presented as a detrended price oscillator: readings farther above or below its center are framed as possible reversal zones. The indicator offers adjustable bar and wick display, overbought and oversold bands, alerts, and external access…

Technical indicatorsMean reversionVolatilityOptions
vn.py community

This event outline describes a quantitative study of option spread strategies, with a focus on gold options. Topics include straddles and strangles, bull and bear spreads, butterfly spreads, and put-call parity. It proposes examining the structure of these…

OptionsCommoditiesBacktestingVolatility
BigQuant

This brief market note reviews Chinese 50ETF options conditions for the week ending November 2. It reports that the ETF closed at 2.594 after gaining 3.1% for the week, while the trading-value put-call ratio fell from 0.754 on October 26 to 0.575. The note…

OptionsVolatilitySentimentChina markets
BigQuant

This 2018 report reviews managed futures, including how CTA strategies trade futures and options and how they differ by analysis method, trading style, holding period, and markets covered. It describes systematic and discretionary approaches alongside trend…

FuturesOptionsTrend followingArbitrage
FMZ forum

This introductory guide explains call and put options, the distinction between in-, at-, and out-of-the-money contracts, and key features of China’s 50ETF options, including contract size, exercise style, settlement, and price limits. It emphasizes that…

OptionsDerivatives pricingVolatilityRisk management
vn.py community

This short forum post reports that version 1.2.0 of an option hedging engine and its monitoring component appear to submit many orders before the market opens, with those orders rejected. The author suggests the components should check whether the current…

OptionsExecutionRisk management
Amberdata research

This podcast account follows Michael Dunn’s move from fixed-income and equity trading into crypto derivatives and Bitnomial’s effort to build a regulated U.S. exchange and clearing infrastructure. It describes exchange components such as matching engines,…

CryptoFuturesOptionsMarket microstructure
Amberdata research

This weekly market recap reviews Bitcoin and Ether derivatives conditions, including realized volatility, implied-volatility term structure, skew, option flows, and dealer gamma. It describes weak spot prices alongside subdued realized volatility, while…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap describes how a sharp crypto decline affected BTC and ETH options. It reports rising realized volatility, a larger response in short-dated implied volatility than in longer maturities, and an inverted term structure after spot fell. The…

CryptoOptionsVolatilityDerivatives pricing
ProRealCode

This indicator combines smoothed Heikin-Ashi candles with a stochastic oscillator and a moving-average condition to mark possible entries and exits. The described logic treats rising Heikin-Ashi candles as bullish and falling candles as bearish, while candle…

Technical indicatorsMomentumOptionsTrend following
Amberdata research

This Q2 2023 report teaser examines Bitcoin and Ethereum options activity, volatility behavior, and the DVOL index. It describes a rules-based method for estimating trade aggressor direction using weighted heuristics, then discusses differences in spot and…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

This market note reviews Bitcoin and Ether options around a period of banking stress and major US economic releases. It describes Bitcoin’s term structure moving into backwardation, with near-dated implied volatility elevated relative to longer maturities,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary examines crypto options positioning in December 2023 as traders anticipated a US spot Bitcoin ETF decision. It discusses a sharp Bitcoin pullback and a rise in realized volatility, alongside a decline in short-dated implied volatility…

CryptoOptionsVolatilityEvent-driven
Amberdata research

This market commentary links changing Federal Reserve rate-cut expectations with risk-asset performance, then examines relative strength and options conditions in Bitcoin and Ether. It discusses how realized volatility and the ETH/BTC ratio may reflect…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary interprets crypto option-implied distributions and volatility around the 2024 US election. It uses calibrated BTC options distributions to compare the market-implied chance of prices above $72,000 at the November 8 and December 27…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This mid-week recap summarizes derivatives conditions in Bitcoin and Ether as of April 21, 2023. It reports stable Bitcoin 10-day realized volatility in the low 30s while attention shifted toward Ether, and describes term structures for both assets as moving…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This guide explains how to run a Python trading strategy backtest with LumiBot, choose a historical data provider, configure dates and sources, and review generated output. It describes ThetaData, Yahoo Finance, Polygon, custom Pandas data, and Polymarket…

BacktestingEquitiesOptionsCrypto
BigQuant

This market review describes a year of changing styles in Chinese equities: cyclical and growth themes led during the recovery, followed by a shift toward value later in the year. It argues that a high earnings base and flattening growth expectations could…

EquitiesChina marketsFactor investingMachine learning
NautilusTrader

This example shows how to run an options backtest from a catalog containing option instruments, quote ticks, and Greeks. It subscribes to periodic option-chain snapshots for a chosen series and selects a contract either at a specified strike or near a target…

OptionsDerivatives pricingBacktestingExecution
Amberdata research

The document reviews crypto market conditions ahead of the Bitcoin halving and discusses how macroeconomic pressure may affect sentiment and options pricing. It points to higher Treasury yields and a stronger dollar as headwinds while noting that implied…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The webinar summary addresses how to estimate option values in newer crypto markets where liquid options data may be sparse or absent. It describes Amberdata’s approach as using liquid equity options as a reference for generating implied volatility surfaces,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast recap discusses Bitcoin’s volatility and derivatives market conditions around a sharp price decline and subsequent stabilization. It introduces implied volatility and volatility compression, and describes a reported contrast between elevated…

CryptoVolatilityOptionsDerivatives pricing
vn.py community

This short support exchange explains how a VeighNa option strategy accesses its position state. A user asks whether the framework restores the previous day’s strategy positions in the same way as a combination strategy that reads saved JSON data. The…

OptionsRisk managementExecution
BigQuant

This weekly report assesses Chinese equity-market sentiment after a sharp March decline and a subsequent rebound. Its composite sentiment score rose from 38 to 51, while the authors judged that near-term further weakness had become less likely, despite…

EquitiesSentimentFuturesOptions