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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

8,116 documents

ProRealCode

This charting indicator highlights a historical series of option expiration dates by drawing vertical lines in the chart background. The listed dates cover quarterly expirations from 2004 through 2019, and the author suggests these sessions may coincide with…

OptionsEquitiesEvent-drivenTechnical indicators
Amberdata research

This weekly market commentary reviews crypto options positioning alongside moves in macro markets. It argues that a strong Bitcoin rally coincided with a decline in year-end implied volatility skew, which the authors interpret as traders anticipating slower…

CryptoOptionsVolatilityDerivatives pricing
Lumibot

The document explains how to connect Databento historical market data to Lumibot backtests. It covers API-key setup, asset definitions, timeframes, date-range configuration, caching, and handling common retrieval errors. Examples include stocks, continuous…

BacktestingFuturesEquitiesOptions
ProRealCode

The indicator rescales price candles using recent summed highs and lows, then plots them against fixed overbought and oversold thresholds. Its purpose is to flag short-term conditions where price may revert toward its mean. Candle color marks whether the…

Technical indicatorsMean reversionOptions
Amberdata research

This newsletter reviews how macroeconomic uncertainty and US policy signals shaped crypto prices and options conditions. It links employment and inflation data, tariff concerns, and changing expectations for rate cuts with broad risk-asset volatility. It…

CryptoOptionsVolatilityRisk management
vn.py community

This article outlines how to move a developed and backtested option strategy into live or simulated trading with VeighNa’s OptionStrategy module. It distinguishes access requirements for futures options and ETF options, including differences in simulated…

OptionsDerivatives pricingExecutionBacktesting
Amberdata research

This primer surveys real-time and historical cryptocurrency data used in trading, research, and risk analysis. It distinguishes trade records, price feeds, and order-book data, describing tick-by-tick trades, normalized aggressor direction, snapshots, best…

CryptoMarket microstructureBacktestingExecution
Amberdata research

This podcast recap follows a derivatives trader’s move from FX options into crypto and outlines how an OTC desk serves institutional and high-net-worth clients. The desk makes markets in spot and options, handles customer flow, and manages risk across the…

CryptoOptionsFuturesVolatility
Amberdata research

This market newsletter presents a bullish Ethereum thesis against a backdrop of expected US inflation releases and possible changes in Federal Reserve rate-cut expectations. It frames ETH as a higher-beta technology and web3 exposure, while describing…

CryptoOptionsFuturesVolatility
Lumibot

This report compares a SPY 0DTE options strategy with SPY over a brief backtest covering January 4–6, 2026. It presents standard performance and risk measures, including returns, drawdown, Sharpe ratio, volatility, time in the market, and benchmark…

OptionsEquitiesBacktestingRisk management
Amberdata research

This overview describes using crypto options flow data to assess activity and possible market sentiment. It covers contract volume and open interest as measures of activity and liquidity, strike prices relative to spot, expiration horizons, put-call ratios,…

CryptoOptionsDerivatives pricingVolatility
Amberdata research

The document gives a weekly snapshot of BTC and ETH options markets. It discusses realized and implied volatility, option term structures, call and put skew, and the volatility spread between the two assets. The commentary links market moves to events such…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

This document describes the first BigQuant strategy development interest group, scheduled for May through July 2024. Its purpose is to help learners build strategy templates and demonstrations, reproduce common methods, and improve their implementation…

EquitiesFuturesOptionsMachine learning
Amberdata research

This podcast recap discusses crypto derivatives and volatility, including the Ethereum Dvol index, differences between Ethereum and Bitcoin volatility, volatility spikes, and a Butterfly Index. It also considers how news and regulatory developments may…

CryptoOptionsVolatilityArbitrage
Amberdata research

This midweek market recap describes changes in Bitcoin and Ethereum derivatives following a US debt ceiling agreement. It tracks realized volatility, the shape of implied volatility across expiries, option skew, trading flows, and dealer gamma positioning.…

CryptoOptionsVolatilitySentiment
NautilusTrader

This script creates four visual explanations for a Bybit delta-neutral options example: a short-strangle expiration payoff, how position delta changes as the underlying moves, a simulated rehedging threshold, and a strike-selection illustration. It reads…

OptionsDerivatives pricingRisk management
Amberdata research

This market commentary describes how reports that spot ETH exchange-traded funds might be fast-tracked triggered a sharp rise in ETH and a surge in its short-dated realized and implied volatility. It compares the response with BTC, noting changes in…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how implied volatility across option maturities forms a term structure. It proposes monitoring changes in the curve’s slope and curvature to assess whether markets expect near-term turbulence, longer-lived uncertainty, or a possible…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The newsletter combines a macro outlook with crypto market and options observations. It links the author’s expectation of a September rate cut and easing cycle to a base case of higher crypto prices, while noting uncertainty around the election and upcoming…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This overview explains several measures used to monitor exposure in crypto derivatives. Funding rates transfer payments between long and short perpetual futures positions and help keep contract prices aligned with spot; persistent or elevated payments can…

CryptoPerpetual futuresOptionsRisk management
Amberdata research

The newsletter discusses how the Democratic National Convention, Federal Reserve minutes, jobless claims, and the Jackson Hole speech could affect gold, equities, and crypto. It interprets gold’s rise and Bitcoin’s weakness as a divergence, with possible…

CryptoOptionsVolatilityEvent-driven
Lumibot

This bot outlines a disclosure-driven copy-trading process based on a member of Congress’s reported stock and call-option holdings. A research agent reads annual and transaction reports, reconstructs current holdings, and ignores filings dated after the…

EquitiesOptionsEvent-drivenPortfolio construction
BigQuant

The document explains how a structured snowball note can be valued by Monte Carlo simulation and partial differential equation methods. It describes decomposing the note’s possible payoff scenarios into exotic option components and combining their values. It…

Derivatives pricingOptionsRisk managementBacktesting
Amberdata research

This newsletter considers whether crypto markets may have bottomed by combining macroeconomic developments with derivatives positioning and digital asset treasury (DAT) holdings. It argues that lower inflation and downward revisions to job creation could…

CryptoOptionsFuturesVolatility