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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 market review attributes Bitcoin’s sharp early-2026 decline to several overlapping forces: hawkish policy expectations, cross-asset losses, regulatory news, leveraged liquidations, and weaker institutional demand. It describes a feedback loop in which…

CryptoFuturesVolatilityMarket microstructure
Amberdata research

The article explains how open interest can help traders assess activity, liquidity, sentiment, and possible trend strength in crypto derivatives. It recommends reading open interest alongside trading volume: increases in both may accompany a strong trend,…

CryptoFuturesOptionsMarket microstructure
Amberdata research

The document explains how changes in cryptocurrency ETF holdings and assets under custody (AUC) can be used to observe institutional participation in Bitcoin and Ethereum. Rising balances may reflect increased exposure and confidence, while declines may…

CryptoSentimentMarket microstructureRisk management
Amberdata research

This overview explains how historical crypto data can support trend analysis, forecasting, risk measurement, benchmarking, and strategy backtesting. It defines common market records, including trade history, prices, OHLCV bars, VWAP, TWAP, volume, market…

CryptoOn-chain dataBacktestingRisk management
Amberdata research

This newsletter connects U.S. inflation and labor market data with crypto market conditions and Bitcoin options positioning. It notes that easing inflation has shifted attention toward upcoming employment reports, while markets were pricing further rate…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market recap reviews Bitcoin and Ether options during a period of sharply higher realized volatility amid geopolitical risk. It contrasts strong short-dated volatility with softer one-month implied volatility, discusses inversion in both term…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This short market recap highlights how the SVB news affected Bitcoin and Ethereum derivatives. It reports that realized volatility rose sharply, both assets’ volatility term structures moved into backwardation, and downside skew increased before retreating.…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly commentary examines Bitcoin and Ether options conditions around anticipated central-bank decisions. It discusses a higher October forward-volatility kink in Bitcoin, differing dealer gamma profiles between the assets, and options transactions…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

This episode recap introduces dealer gamma profiles and their possible effects on crypto price dynamics. Dealers commonly adjust hedges to maintain delta neutrality; when their net options exposure is short gamma, hedging may involve selling into rising…

CryptoOptionsVolatilityMarket microstructure
Amberdata research

The document explains Bitcoin’s scheduled reduction in block issuance, describing how the reward falls by half every 210,000 blocks and how this supports a capped supply. It lists past and projected halving dates and rewards, and notes the expected 2024…

CryptoOn-chain dataEvent-drivenRisk management
Amberdata research

The article explains a mempool as the node-level holding area for blockchain transactions awaiting confirmation. Transactions are broadcast to nodes, then selected by miners or validators for inclusion in blocks; confirmed transactions leave the pool, while…

CryptoMarket microstructureExecutionRisk management
Amberdata research

This overview compares lending and borrowing features of Aave, Compound, and MakerDAO. It explains that Aave supports multiple assets and loan types, including flash loans that must be repaid within one blockchain transaction. Compound represents supplied…

DeFiCryptoOn-chain dataRisk management
Amberdata research

This announcement summarizes a report built around four years of Bitcoin options data, with Deribit as its main market reference, and discusses Ethereum options as well. It reports that in 2022 ETH options exceeded BTC options in volume and open interest for…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This newsletter links crypto market expectations to macroeconomic developments, including an inflation surprise, the upcoming FOMC decision, tariff uncertainty, and movements in equities and volatility measures. It describes Bitcoin as closely tied to…

CryptoOptionsVolatilitySentiment
Amberdata research

The analysis examines execution conditions in Binance’s BTC/FDUSD market using 50,526 minutes of order book observations from July 1 to August 12, 2025. It argues that displayed depth grows nonlinearly with distance from the mid-price, so large orders may…

CryptoExecutionMarket microstructureStatistics
Amberdata research

The article explains how periodic funding payments in perpetual swaps help keep contract prices near spot prices. When funding is positive, longs pay shorts; when negative, shorts pay longs. These payments affect the net cost of holding a position and can…

CryptoPerpetual futuresCarryArbitrage
Amberdata research

A flash loan lets a user borrow cryptocurrency without collateral, provided the loan is repaid within the same blockchain transaction. The document explains how an attacker can use borrowed funds to exploit smart-contract flaws, including manipulating prices…

CryptoDeFiOn-chain dataRisk management
Amberdata research

This article explains how to compare Bitcoin and Ether options volatility surfaces across strikes and expirations to identify relative-value trades. Traders can examine differences in implied-volatility level, skew, and term structure, then investigate…

CryptoOptionsVolatilityPairs trading
Amberdata research

The article describes how analytics, artificial intelligence, and machine learning may support cryptocurrency trading. It highlights searching large datasets for patterns, comparing markets, forecasting potential changes, and automating trading decisions. It…

CryptoMachine learningBacktestingRisk management
Amberdata research

This weekly market recap discusses Bitcoin and Ether options through realized and implied volatility, term structure, call skew, relative value, trading flows, and dealer gamma. It reports elevated realized volatility in both assets, firmer implied…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This newsletter links macroeconomic developments to crypto and options-market positioning. It discusses how stronger employment data and rising Treasury yields changed market-implied expectations for the next Federal Reserve decision, and frames inflation…

CryptoOptionsVolatilitySentiment
Amberdata research

This overview outlines ways banks may use digital asset data across front, middle, and back office functions. Trading teams can apply real-time and historical data to research, strategy backtesting, and portfolio management. Risk and treasury teams can…

CryptoOn-chain dataRisk managementBacktesting
Amberdata research

This digital-asset snapshot combines spot prices and volume with order-book liquidity, perpetual funding, open interest, long/short positioning, liquidations, stablecoin flows, and staking yields. Its central market reading is that Bitcoin’s price strength…

CryptoPerpetual futuresMarket microstructureRisk management
Amberdata research

The interview describes Itos Finance’s plans for on-chain structured products, drawing on co-founder Terence An’s experience in high-frequency trading and market infrastructure. Its central risk-management idea is to offer options that can hedge liquidity…

DeFiOptionsVolatilityRisk management