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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
WonderTrader
14 documents
Alphalens
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

10,263 documents

FMZ forum

This overview introduces Python libraries used across quantitative trading workflows. It groups tools by task: NumPy for numerical operations, Pandas for structured and time-series data, TA-Lib for technical indicators, and Matplotlib or Plotly for…

Machine learningTechnical indicatorsBacktestingDerivatives pricing
Amberdata research

The report argues that Bitcoin’s price drivers have shifted from the four-year halving cycle toward institutional flows, especially ETF activity, alongside monetary policy, regulation, and broader risk appetite. It describes a post-correction market with…

CryptoSpot marketsDerivatives pricingMarket microstructure
Amberdata research

This midweek derivatives recap summarizes Bitcoin and Ether conditions during a period when spot prices were testing familiar levels. It discusses realized volatility, the shape of the volatility term structure, skew, options flows, and dealer gamma. Bitcoin…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly market note links Bitcoin’s rally to macro developments including rising bond yields, war-related spending concerns, gold strength, and optimism about a Bitcoin ETF and the Ripple lawsuit. It reviews Bitcoin options term structure, put skew,…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

This Chinese-language summary presents a 2021 survey of reinforcement learning in financial decision-making. It introduces Markov decision processes as a foundation, then identifies value-based and policy-based learning approaches, including extensions that…

Machine learningPortfolio constructionExecutionMarket making
Amberdata research

The document describes a chart for comparing two historical derivatives term structures. Users choose two dates and times, with minute-level precision, to inspect how the curve changed between those points. This can help examine market responses around…

CryptoOptionsDerivatives pricing
Amberdata research

The document introduces a metric comparing Deribit’s DVOL Index with constant 30-day at-the-money volatility. It can be displayed as either a ratio or a spread, offering a way to examine how the volatility represented across strikes differs from the…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly review combines a market outlook with BTC and ETH options observations. It links BTC’s consolidation to lower implied volatility and describes the term structure as flat, while noting that contango is the more common state. The author uses that…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This digital asset market update reviews regulatory developments involving Binance and Kraken, a planned Ethereum layer 2 network from OKX, and activity across centralized exchanges, decentralized exchanges, and DeFi lending. It reports declining Binance…

CryptoSpot marketsDeFiMarket microstructure
Amberdata research

This market newsletter reviews crypto options positioning ahead of a U.S. election and a dense schedule of economic releases. It compares Bitcoin implied and realized volatility, noting a stated premium in short-dated options and a rise in implied volatility…

CryptoOptionsVolatilityDerivatives pricing
TqSdk

This documentation page indexes a sequence of option-use examples for a trading SDK. The topics move from retrieving live option quotes and screening contracts to classifying options as in the money, at the money, or out of the money. Further examples cover…

OptionsDerivatives pricingVolatilityArbitrage
SuperMind

These notes introduce derivatives as contracts whose value depends on an underlying asset or other variable, then distinguish exchange-traded markets from over-the-counter trading. They outline forwards, options, futures, and swaps, explaining basic contract…

Derivatives pricingFuturesOptionsArbitrage
Amberdata research

This podcast listing introduces Rysk Finance as a decentralized options vault protocol that extends beyond simple options strategies by offering delta-hedged volatility exposure. It also frames a discussion with the protocol’s founders about Rysk’s approach…

OptionsVolatilityDerivatives pricingDeFi
Amberdata research

This market commentary discusses Bitcoin’s approach to prior highs and argues that near-term direction is uncertain. It favors holding existing long-delta exposure for longer horizons while considering delta-neutral structures for short-term positioning. The…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This numerical methods note explains an explicit finite-difference scheme for the one-dimensional heat equation. It approximates the time derivative with a forward difference and the spatial diffusion term with a centered second difference, then advances the…

StatisticsDerivatives pricing
NautilusTrader

This reference explains how a crypto perpetual futures instrument is represented in a trading system. A perpetual swap has no expiration and tracks a crypto asset, while its metadata records identifiers, base, quote, and settlement currencies, inverse…

CryptoPerpetual futuresDerivatives pricingExecution
Amberdata research

This market recap reviews a historical snapshot of Bitcoin and Ether options. It discusses realized and implied volatility, term structure, skew, option flows, and dealer gamma positioning. The commentary links changes in short-dated volatility and skew to a…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

The document introduces financial trading as buying and selling assets for investment, hedging, or gains from price changes. It surveys equities, bonds, derivatives, foreign exchange, physical commodities, and cryptocurrencies, noting that each market has…

Multi-assetDerivatives pricingMarket microstructureDeFi
BigQuant

This report introduces over-the-counter options as privately negotiated, nonstandard contracts and describes spread strategies built from multiple options on the same underlying. It names bull, bear, and butterfly spreads as examples. The central pricing…

OptionsDerivatives pricingFixed income
Amberdata research

This market recap explains how an approaching Bitcoin ETF decision shaped BTC and ETH volatility, term structure, skew, options flows, and dealer gamma. It describes front-end implied volatility rising ahead of the event, backwardation in both markets, and…

CryptoOptionsVolatilityEvent-driven
vn.py community

This forum exchange reports a suspected error in an options-chain method that selects the at-the-money strike. The user says that when the underlying 50ETF price exactly matches a listed strike, the method returns a different strike instead. Two historical…

OptionsDerivatives pricingChina markets
vn.py community

This event outline introduces a planned series on quantitative options research and development, with later sessions covering ETF, gold, and iron ore options. The first session focuses on index options, contrasting options strategies with CTA strategies and…

OptionsDerivatives pricingBacktestingPosition sizing
Amberdata research

The newsletter connects US economic releases and Federal Reserve commentary with crypto market conditions in June 2024. It discusses inflation, labor data, political uncertainty, the Ethereum spot ETF decision, and the veto of a rule affecting bank crypto…

CryptoOptionsVolatilityFutures