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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

The article describes how institutional crypto data services can support research, trading, and risk management. It highlights combining real-time and historical information from centralized exchanges, decentralized venues, and blockchains, including spot…

CryptoMarket microstructureExecutionBacktesting
Amberdata research

This conference recap presents qualitative themes about institutional participation in digital assets. It reports that attendees observed broader participation by traditional financial institutions, and links growing interest to regulatory, market-structure,…

CryptoMarket microstructureSentimentMulti-asset
Amberdata research

This market commentary reviews the December 2024 Federal Reserve decision and inflation releases alongside crypto options activity. It argues that strong seasonal equity sentiment and bullish crypto narratives could reduce volatility, while noting that the…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The proposed daily stock screen combines three filters: price range, at least two limit-up moves within a 500-day lookback, and a selected company type. The accompanying discussion says company characteristics may relate to financial performance, while…

EquitiesChina marketsBreakoutTechnical indicators
Amberdata research

The article surveys how market and blockchain data may inform long-term crypto investing and short-term trading. For fundamental research, it lists measures such as market capitalization, supply, trading activity, network use, token holders, velocity, total…

CryptoOn-chain dataTechnical indicatorsArbitrage
Amberdata research

This market snapshot examines a broad crypto selloff alongside macroeconomic and policy developments. It tracks spot prices, realized volatility, trading volume, open interest, funding, ETF flows, stablecoin supply, order-book depth, and DeFi liquidations.…

CryptoVolatilityPerpetual futuresMarket microstructure
Amberdata research

This report excerpt proposes assessing crypto-market stress through volatility regimes, flows, leverage, liquidity, daily range and volume, and persistent funding. Its central example is the October 2025 Bitcoin selloff: an initial macro-driven decline was…

CryptoVolatilityRisk managementMarket microstructure
Amberdata research

This report examines Bitcoin spot liquidity across six market regimes, focusing on the October liquidation cascade. It tracks order book depth at several distances from mid-price, exchange volume shares, and a composite resilience measure based on depth…

CryptoMarket microstructureExecutionRisk management
Amberdata research

This market note links crypto performance and options positioning to the prospect of persistently high interest rates, upcoming US inflation releases, and central-bank commentary. It characterizes Bitcoin as more resilient than Ether and reports stronger…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast overview discusses Nexus Mutual, an Ethereum-based mutual insurance protocol focused on covering smart contract and decentralized finance risks. The protocol combines member-provided capital with a market for assessing covered risks: the team…

CryptoDeFiRisk managementOn-chain data
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
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
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
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
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
Amberdata research

This research article examines whether lending activity in USDC, USDT, and DAI helps forecast Ethereum volatility. It describes time-series autocorrelation and partial autocorrelation analysis, then uses Granger causality tests to assess whether past…

CryptoDeFiVolatilityStatistics
Amberdata research

This weekly market commentary reviews crypto options conditions around January 29, 2023. It interprets Bitcoin options term structure as having moved into backwardation during a spot rally, suggesting the market priced more near-term movement. It also…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The document introduces a chart for examining an options butterfly across constant maturities. It defines the structure as long one call and one put with a short position in two at-the-money options, and says users can select among several delta levels and…

OptionsVolatilityDerivatives pricingCrypto