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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

766 documents

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 weekly market note connects US inflation releases and speculation about Federal Reserve leadership to moves in gold, bonds, and crypto. It interprets mixed producer and consumer inflation readings, resilient employment, and possible political pressure…

CryptoOptionsVolatilityEquities
Amberdata research

This indicator description presents a version of the Parabolic SAR that can calculate its display using a timeframe selected in the input settings. The example input defaults to a four-hour period, allowing a trader to view higher-timeframe SAR information…

Technical indicatorsTrend following
Amberdata research

This quarterly recap surveys digital-asset market developments in Q2 2024, including softer token prices and trading activity, regulatory progress, Bitcoin exchange-traded fund flows, memecoin trading, and launches of new layer-two and layer-three networks.…

CryptoVolatilityOn-chain data
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
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 article explains how liquidators can profit by repaying part of an undercollateralized Aave borrower’s debt and receiving collateral with a liquidation bonus. It introduces the health factor as the protocol’s solvency measure, describes how falling…

CryptoDeFiExecutionRisk management
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
Amberdata research

This market snapshot reviews regulatory developments in the United States and United Kingdom alongside trading activity across centralized exchanges, decentralized exchanges, lending protocols, and major networks. It argues that the approved FTX asset sales…

CryptoSpot marketsDeFiMarket microstructure
Amberdata research

The article explains how Bitcoin ETF inflows and outflows may relate to market liquidity, price pressure, and investor sentiment. Inflows can add buying demand and are often read as bullish, while outflows can reduce liquidity and accompany profit-taking or…

CryptoSentimentOn-chain dataRisk management
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
Amberdata research

This press release summarizes a survey of asset managers and hedge funds in the United States and Europe about digital-asset activity and infrastructure needs. It reports that 48% of respondents had digital assets under management, while 25% had a dedicated…

CryptoOn-chain dataRisk managementPortfolio construction
Amberdata research

This article presents Almanax’s approach to preventing blockchain exploits through AI-assisted code review and continuous security monitoring. The described system uses language models to examine code logic and potential attack surfaces, and is intended to…

CryptoMachine learningRisk managementDeFi
Amberdata research

This interview discusses how traders can identify persistent sources of edge, implement them, and manage the risks and emotions that accompany them. Euan Sinclair describes edge as a market phenomenon that mathematics can measure, citing trends, mean…

Risk managementVolatilityTrend followingMean reversion
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
Amberdata research

This article explains how current and historical crypto market data can support risk decisions. It describes volatility measures such as standard deviation and beta, and liquidity indicators including trading volume, order books, market depth, bid-ask…

CryptoVolatilityRisk managementPortfolio construction
Amberdata research

The document explains six Bitcoin indicators used to interpret investor sentiment and supply behavior: realized price, net unrealized profit/loss (NUPL), coins held or presumed lost, monthly long-term-holder position change, liquid versus illiquid supply,…

CryptoOn-chain dataSentimentRisk management
Amberdata research

This weekly market note examines how the XRP ruling and other headlines affected crypto prices, implied volatility, and options positioning. It contrasts a quiet macro calendar and subdued longer-term realized volatility with event-driven moves in the front…

CryptoOptionsVolatilityEvent-driven
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
Amberdata research

This market commentary links a risk-off episode to declines in stocks and crypto, stronger gold, increased volatility, and heavy leveraged liquidations. It compares perpetual futures with spot markets, arguing that forced selling and uneven order-book depth…

CryptoOptionsPerpetual futuresVolatility
Amberdata research

The article explains how blockchain data fragmentation can complicate work for financial institutions. APIs tailored to individual networks often use different methods and data formats, requiring separate integrations, repeated requests, and ongoing…

CryptoOn-chain dataMarket microstructure