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
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

19,452 documents

NautilusTrader

This reference explains a data structure that groups multiple order book changes belonging to one logical book event. A batch must contain at least one delta, and every contained update must refer to the same instrument. Its flags, sequence number, event…

Market microstructureExecutionCrypto
Amberdata research

This podcast discussion describes how institutional crypto desks combine spot trading, derivatives, lending, and market making, drawing on experience from traditional finance. It covers ETF creation and redemption mechanics, hedging flows into underlying…

CryptoOptionsMarket makingRisk management
Amberdata research

This market snapshot reviews digital-asset activity around the period following Bitcoin spot ETF filings. It describes spot trading volumes as returning toward typical levels while Bitcoin and Ether prices remained above the levels cited in the report. It…

CryptoSpot marketsDeFiMarket microstructure
OctoBot

This overview explains how cryptocurrency trading bots automate decisions and trade execution using predefined rules. It describes several possible inputs: technical indicators such as moving averages and RSI, forecasts derived from historical data using…

CryptoTechnical indicatorsMachine learningBacktesting
Cryptohopper blog

The article surveys ways crypto holders may seek income: proof-of-stake staking, lending through centralized or decentralized services, yield farming, automated market-making pools, interest-bearing accounts, NFT guild rentals, yield-bearing tokens, and…

CryptoDeFiMarket makingCarry
MQL5 code base

This MetaTrader indicator description presents blue rectangles as potential price strength zones. The rectangle’s upper boundary is treated as a level where upward price strength may fade. For a long position, it suggests placing a take-profit level below…

Technical indicatorsVolatilityRisk managementForex
Hummingbot docs

This technical reference describes a market data provider interface for accessing prices, order book data, and historical candles by connector and trading pair. Price queries can request a specified price type, while volume based order book queries estimate…

CryptoMarket microstructureExecutionTechnical indicators
Amberdata research

This market recap examines BTC and ETH options during a sharp rally tied to expectations of approval for a spot BTC ETF. It tracks realized and implied volatility, term structure, call skew, options activity, and dealer gamma. The reported moves include a…

CryptoOptionsVolatilityDerivatives pricing
OctoBot

This article introduces paper trading as a way to run strategies in live market conditions against a virtual portfolio. It describes using simulated funds to explore strategies before committing capital and to continue experimenting without risking real…

BacktestingExecutionCrypto
FMZ forum

This project describes a unidirectional arbitrage bot trading Ether and token pairs across Etherdelta and Bittrex. The core idea is to seek gains from price differences between exchanges. Because trades on Etherdelta involve Ethereum transactions, the author…

CryptoArbitrageExecutionMarket microstructure
Freqtrade

This Freqtrade strategy template describes a short-term, long-and-short system using a five-minute chart. It enters when price is above or below a simple moving average calculated on a resampled, longer interval, and a short-period EMA crosses the…

CryptoTrend followingTechnical indicatorsBacktesting
Amberdata research

This weekly market recap discusses Bitcoin and Ether options through realized volatility, term structure, skew, trading flows, and dealer gamma positioning. It reports that realized volatility had fallen over the preceding week as prices stayed within their…

CryptoOptionsVolatilityDerivatives pricing
FMZ live strategies

This live-monitoring page describes a trend signal system for crypto markets across several candle intervals. It marks an interval as rising or falling and assigns an index that changes as the trend continues; a fresh value of 1 or -1 identifies a new upward…

CryptoTrend followingTechnical indicatorsRisk management
Kraken Learn

The document explains blockchain as a shared ledger maintained by networked computers. It describes how cryptographic links connect blocks, how nodes check transactions, and how consensus mechanisms such as proof of work and proof of stake help the network…

CryptoDeFiOn-chain dataMarket microstructure
Freqtrade docs

This reference summarizes exchange-specific behavior relevant to configuring an automated cryptocurrency trading system. It compares supported spot and futures markets, margin modes, and available on-exchange stop orders, then discusses API rate limits,…

CryptoFuturesExecutionMarket microstructure
Amberdata research

The document describes using historical volatility patterns to guide trading and risk decisions in BTC and ETH derivatives. It discusses a volatility cone, which displays realized volatility distributions across time horizons, and realized volatility grouped…

CryptoVolatilityDerivatives pricingRisk management
Amberdata research

This article explains how crypto order book heatmaps display resting limit orders across price and time, and how traders can use them to inspect apparent supply, demand, and liquidity. It describes combining books from centralized exchanges and comparing…

CryptoMarket microstructureSentimentSpot markets
Amberdata research

This weekly market commentary links macro events, including US inflation data and Federal Reserve expectations, with Bitcoin and Ether price behavior and options positioning. It describes Bitcoin and Ether volatility and term structures, including a return…

CryptoOptionsVolatilitySentiment
Amberdata research

This podcast overview describes a crypto options venue's altcoin contracts, collateral arrangements, and trading tools, including its integration with another exchange. It discusses options across several digital assets with varied expirations and strikes,…

CryptoOptionsVolatilityMarket making
Amberdata research

The article introduces altcoins and decentralized finance as possible sources of diversification and excess returns. It describes an altcoin-season indicator based on the share of leading altcoins outperforming Bitcoin over a specified period, with a 75%…

CryptoDeFiOn-chain dataVolatility
Hummingbot docs

The document introduces a connector for Perpetual Protocol and an automated strategy intended to trade price differences between perpetual contracts and spot markets. It describes comparing perpetual venues, including decentralized and centralized futures…

CryptoArbitragePerpetual futuresSpot markets
Amberdata research

This market commentary surveys Bitcoin and Ether options conditions for the week of May 14, 2023. It relates macroeconomic uncertainty, Federal Reserve expectations, and recent spot-price declines to implied and realized volatility, volatility risk premium,…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This digital asset snapshot combines price dispersion, order-book conditions, derivatives positioning, ETF flows, stablecoin movements, and DeFi lending measures to describe crypto market stress. Its central reading is mixed: BTC funding is negative while…

CryptoMarket microstructurePerpetual futuresDeFi