Skip to content

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

BigQuant

This research roundup describes two separate studies. The first examines the Stochastic Volatility Inspired (SVI) parameterization for modeling implied volatility surfaces. It reports theoretical results and empirical analysis suggesting that, under…

OptionsVolatilityDerivatives pricingStatistics
Amberdata research

This weekly market note reviews macroeconomic events and crypto options conditions in the week of September 24, 2023. It links the Federal Reserve’s hawkish messaging and upcoming economic releases with weakness in technology shares, bonds, and Ether. The…

CryptoOptionsVolatilityDerivatives pricing
NautilusTrader

This reference explains how to represent a contract for difference as a trading instrument. A CFD tracks an underlying asset without transferring ownership; the venue determines its quote currency, precision, increments, order limits, margin settings, and…

Derivatives pricingRisk managementExecution
TqSdk

The document examines whether volatility in the CSI 300 varies by weekday and time of day, then uses that pattern to modify Black–Scholes pricing for an index option. It calculates five-minute log returns from open to close over a year of index data,…

OptionsVolatilityDerivatives pricingStatistics
Amberdata research

The document explains how comparing implied volatility (IV) surfaces across dates can reveal patterns that a single snapshot misses. It describes tracking Mark IV and Forward IV across maturities with term-structure time-lapse views, and comparing…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly report reviews a sharp crypto selloff alongside higher US yields, China-related risk concerns, and the upcoming Federal Reserve outlook at Jackson Hole. It describes heavy BTC futures and perpetual liquidations, falling open interest, a temporary…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast overview traces Premia’s development from an early peer-to-peer options concept to a decentralized platform supporting order books, RFQ, pools, and vaults. The team’s traditional finance experience shaped its response to crypto-specific…

CryptoOptionsDerivatives pricingDeFi
NautilusTrader

This reference explains the fields used to describe a listed put or call on a non-crypto underlying. It covers contract identity, underlying asset, option type, strike, activation and expiration times, premium currency, price precision, minimum price…

OptionsDerivatives pricing
Amberdata research

This market report reviews crypto price action and options positioning during a sharp late June 2023 rally. It links the move to news about spot ETF filings and a new exchange, then describes rising Bitcoin volatility, a higher options term structure, and a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This feature note describes a chart comparing an asset’s at-the-money implied volatility (ATM-IV) with its realized close-to-close log return. It uses the implied volatility observed at the start of the interval as an estimate of the expected daily move,…

OptionsVolatilityDerivatives pricing
SuperMind

These notes describe several practical features of futures and over-the-counter derivatives markets. They explain how central counterparties manage standardized OTC trades through margin and default-fund contributions, while bilateral trades use master…

FuturesDerivatives pricingRisk managementMarket microstructure
Amberdata research

The article presents a framework for managing crypto portfolio risk through sector diversification, active hedging, quantitative monitoring, and rebalancing. It suggests diversifying across asset categories such as Layer 1 tokens, DeFi governance tokens, and…

CryptoRisk managementPortfolio constructionDerivatives pricing
BigQuant

The document discusses pricing path-dependent snowball structured notes by decomposing their payoff scenarios into exotic option components and valuing them with Monte Carlo simulation or partial differential equations. It also considers how equity index…

OptionsDerivatives pricingVolatilityRisk management
Amberdata research

This brief market recap highlights four observations about Bitcoin and Ether derivatives as of November 22, 2022: realized and implied volatility had fallen, the six-month historical volatility spread between ETH and BTC was described as supported, option…

CryptoOptionsVolatilityDerivatives pricing
NautilusTrader

The document explains how NautilusTrader connects to Tardis historical files, Tardis Machine streams, and the Tardis API. It describes loading normalized CSV data, replaying historical feeds into Parquet catalogs, and configuring live or replay clients. A…

CryptoMarket microstructureExecutionDerivatives pricing
Amberdata research

This market commentary reviews Bitcoin and Ethereum options positioning alongside activity in oSQTH for the week covered. It describes several reported structures: a put spread financed with calls, a put risk reversal, a short-dated straddle sale, call…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This newsletter connects a softer US inflation and labor market outlook with expectations for Federal Reserve rate cuts and possible support for crypto prices. It then frames Bitcoin’s decline in the context of German government sales and anticipated Mt. Gox…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast recap discusses Bitcoin options-market conditions around the ETF narrative, including term structure, skew, and changes in inter-dealer flows. It also describes exchange structured products: Double-Win, a range-based payoff compared to a…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article describes adjusting hedge ratios as crypto prices, implied volatility, and liquidity conditions change. For derivatives portfolios, it suggests rebalancing futures and options exposures, including strikes and expirations, to manage directional…

CryptoDerivatives pricingVolatilityRisk management
TqSdk

This Python module documents functions for calculating common technical indicators from market bars and options data. The visible functions include average true range, bias, Bollinger Bands, directional movement, KDJ, MACD, parabolic SAR, and Williams %R.…

Technical indicatorsFuturesOptionsVolatility
Amberdata research

This market commentary reviews BTC and ETH options conditions ahead of expected ETH ETF trading. It reports falling realized volatility and softer one-month implied volatility, alongside positive carry that may appeal to traders expecting range-bound prices.…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market commentary links a stronger-than-expected U.S. jobs report and falling unemployment to reduced expectations for a large Federal Reserve rate cut. It discusses upcoming inflation releases as possible catalysts for further rate-market repricing,…

CryptoOptionsVolatilityEvent-driven
Amberdata research

This market commentary examines Bitcoin and Ether options alongside spot prices, macro events, and regulatory news as of April 23, 2023. It discusses dealer gamma, implied volatility, volatility risk premium, term structure, and trading flows. The author…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This article explains how derivatives can hedge existing crypto holdings or express views on future prices, and how market data can inform those decisions. It describes monitoring open interest and trading volume for clues about liquidity and changes in…

CryptoDerivatives pricingRisk managementArbitrage