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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

64 documents

Amberdata research

This conference recap describes several developments in digital asset markets: valuing tokens against underlying revenue and rights, crypto-native venues affecting traditional markets, software agents transacting autonomously, and institutions connecting…

CryptoFuturesMarket microstructureExecution
Amberdata research

The newsletter assesses a sharp rise in Bitcoin volatility alongside macroeconomic catalysts and crypto market positioning. It uses options implied volatility and term-structure richness as indicators of stress, noting that a high backwardation reading has…

CryptoOptionsVolatilityFutures
Amberdata research

This podcast recap describes Cboe Digital’s crypto spot and derivatives exchange and clearinghouse. It lists spot markets in several major digital assets and notes the launch of Bitcoin and Ethereum futures. A central topic is futures margin clearing, which…

CryptoFuturesSpot marketsRisk management
Amberdata research

This podcast account follows Michael Dunn’s move from fixed-income and equity trading into crypto derivatives and Bitnomial’s effort to build a regulated U.S. exchange and clearing infrastructure. It describes exchange components such as matching engines,…

CryptoFuturesOptionsMarket microstructure
Amberdata research

This market commentary interprets crypto options conditions ahead of the U.S. election, focusing on Bitcoin and Ethereum realized volatility, implied volatility, skew, term structure, and relative performance. It describes realized volatility as stable while…

CryptoOptionsVolatilityFutures
Amberdata research

This market commentary surveys crypto conditions around the period following Ethereum’s Shapella upgrade. It describes a permit-signature scam risk: gasless token approvals can look like ordinary wallet signatures, making it difficult for users to recognize…

CryptoExecutionMarket microstructureFutures
Amberdata research

This report reviews 2024 activity in centralized crypto spot and derivatives markets. It describes how exchange and asset trading volumes changed through the year, noting periods of high activity across major venues and tokens. It suggests using volume…

CryptoFuturesPerpetual futuresArbitrage
Amberdata research

This report examines BTC options and futures behavior in Q1 2023, then introduces Lyra as an automated market maker for on-chain options. It contrasts AMM and order-book models and frames DeFi options as an evolving market without an established analytical…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The snapshot combines macroeconomic news with market indicators for Bitcoin, Ether, and Solana. It discusses modest inflation relief alongside tariff and interest-rate concerns, a large loss from a highly leveraged Ether position, and the U.S. decision to…

CryptoFuturesSentimentTechnical indicators
Amberdata research

This market update reviews three developments in crypto derivatives: August activity at Deribit, the launch of Bumper, and Kraken’s plans to expand its derivatives business. It reports that Deribit’s volume rose while global derivatives volume fell, with…

CryptoOptionsFuturesVolatility
Amberdata research

This market commentary links the inflation outlook and Federal Reserve communications to crypto sentiment, then focuses on Bitcoin positioning ahead of the April 2024 halving. It notes the reported PCE and core PCE readings, upcoming employment data, strong…

CryptoOptionsFuturesVolatility
Amberdata research

The article introduces OKX Nitro Spreads as a way to trade the price difference between futures and perpetual swap contracts through a single instrument. It describes spread trading as useful for hedging exposure or responding to price differences, with the…

CryptoFuturesPerpetual futuresArbitrage
Amberdata research

The newsletter links crypto markets to broader risk assets and discusses how macroeconomic uncertainty, Federal Reserve messaging, tariff concerns, and upcoming data releases may affect prices. It interprets falling VIX and VVIX as evidence that near-term…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market snapshot surveys digital-asset developments around geopolitical attacks, U.S. stablecoin legislation, macroeconomic pressure, an Ethereum chart pattern, and a DeFi exploit. Its market analysis interprets Bitcoin ETF creations and redemptions as…

CryptoFuturesSentimentMarket microstructure
Amberdata research

The newsletter reviews a week in which Bitcoin rose 8% after briefly falling below $100,000 amid geopolitical headlines. It connects the rebound to falling crude prices and stronger performance in higher beta crypto assets, while noting that Bitcoin’s year…

CryptoOptionsFuturesVolatility
Amberdata research

The article explains open interest as the number of derivatives contracts that remain open and presents it as a measure of participation in crypto futures markets. It recommends reading changes in OI alongside price: rising OI with rising prices may support…

CryptoFuturesMarket microstructureSentiment
Amberdata research

This weekly crypto market snapshot combines regulatory and company news with indicators of institutional activity and derivatives positioning. It covers the launch of XRP and Dogecoin ETFs, Tether’s U.S.-focused stablecoin, a large corporate Solana purchase,…

CryptoFuturesSentimentMarket microstructure
Amberdata research

The article compares Bitcoin market conditions in late 2023 with the rally in late 2020, using spot returns, options implied volatility, futures basis, and realized volatility. It reports that implied volatility was near its 2023 high amid call buying, while…

CryptoOptionsFuturesVolatility
Amberdata research

This market commentary combines a US macro calendar with views on Japanese rates, Bitcoin, and Ethereum options. It notes that the Federal Reserve decision and US employment report could move markets, while a weaker employment result might support bonds and…

CryptoOptionsVolatilityForex
Amberdata research

The document introduces Rho Protocol as an on-chain venue for trading crypto-native interest rates, especially perpetual funding rates and staking rates. It describes fixed-for-floating contracts as a way to hedge exposure to changing rates, similar to…

CryptoFuturesArbitrageCarry
Amberdata research

This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported…

EquitiesFuturesHigh-frequency tradingFactor investing