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

766 documents

Amberdata research

This weekly review combines macroeconomic context with observations on Bitcoin and Ether options markets around the March 2023 Federal Reserve decision. It discusses a flatter Bitcoin volatility term structure, the relative implied volatility of Ether and…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This retrospective describes Ethereum’s transition from proof-of-work to proof-of-stake and reviews network operation, price, transaction activity, and gas fees in the following weeks. It reports that the network experienced no outage during the transition.…

CryptoDeFiVolatilityMarket microstructure
Amberdata research

This overview explains how crypto liquidation data may help researchers interpret forced trading in futures, options, and swaps. It describes using the timing and scale of liquidations, long-versus-short liquidation activity, liquidation ranges, volume, and…

CryptoDerivatives pricingPerpetual futuresSentiment
Amberdata research

This weekly recap describes changes in Bitcoin and Ether derivatives markets during a period of pressure following SEC actions against Binance and Coinbase. It tracks realized volatility, options term structure, skew, trading flows, and dealer gamma…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This market snapshot discusses the early effects of US spot Bitcoin ETF approval across centralized exchanges, decentralized finance, lending, and blockchain networks. It reports that Coinbase gained share in key BTC pairs and interprets its USD and USDC…

CryptoSpot marketsDeFiMarket microstructure
Amberdata research

The document explains how forced liquidations work in leveraged crypto trading, distinguishing partial closures from full position closures. It illustrates leverage with a Bitcoin futures example and shows how an adverse price move can reduce a trader’s…

CryptoFuturesPerpetual futuresRisk management
Amberdata research

The document introduces two proposed views of Deribit options activity: net volume and net positioning. It says these features rely on a set of proprietary rules intended to identify which side initiated trades, so users can distinguish flow direction and…

CryptoOptionsMarket microstructureDerivatives pricing
Amberdata research

This commentary presents a framework for crypto volatility trading that stresses timing and carrying costs over the simple idea of selling volatility whenever it appears historically high. It describes realized volatility as mean reverting, while warning…

CryptoOptionsVolatilityMean reversion
Amberdata research

This webinar recap summarizes Q2 2023 analysis of crypto options, focusing on how spot price moves relate to implied volatility, how option trade direction can be inferred, and how Bitcoin’s volatility risk premium compares with realized volatility. It…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

The article explains how liquid staking lets ETH holders stake through a provider and receive liquid staking tokens that represent deposited ETH and accrued rewards, net of fees. Those tokens can remain usable in trading, lending, and other DeFi activities.…

CryptoDeFiOn-chain data
Amberdata research

The article describes why institutions entering digital assets may struggle to recruit blockchain specialists. It attributes the limited talent pool to the technology’s relative novelty, the absence of long-established training pipelines, and the specialized…

CryptoOn-chain data
Amberdata research

The article explains how institutions can use crypto ETF holdings data to monitor capital allocation, investor behavior, liquidity, and portfolio risk. It highlights assets under management, largest holdings, inflows and outflows, historical returns, and…

CryptoPortfolio constructionRisk managementExecution
Amberdata research

This article explains how leveraged crypto positions can be forcibly closed when margin falls below maintenance requirements. Forced sales from long liquidations can push prices lower and trigger further liquidations, while short liquidations can create…

CryptoPerpetual futuresVolatilityRisk management
Amberdata research

This newsletter reviews a sharp market sell-off through several proposed catalysts: Middle East tensions, the Bank of Japan’s rate increase, weaker-than-expected US employment data, and a cautious Federal Reserve. It discusses the yen’s rally and Japanese…

CryptoOptionsVolatility
Amberdata research

The document describes a chart for comparing options trading volume executed on screen with volume executed through block trades. Its purpose is to help users assess which execution channel is contributing to market participation. It notes that large…

OptionsCryptoMarket microstructure
Amberdata research

This brief derivatives-market recap reports four observations for Bitcoin and Ether: realized volatility had fallen further, options term structures were in steep contango, skew was moving lower, and trading flows were light in Bitcoin while Ether activity…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This crypto market snapshot examines trading and decentralized finance activity around the July 2023 Ripple v. SEC ruling. It describes the ruling’s distinction between XRP programmatic sales and institutional sales, then considers exchange volumes, market…

CryptoMarket microstructureDeFiSentiment
Amberdata research

This market report reviews Bitcoin and Ether volatility, options pricing, dealer exposure, derivatives positioning, and macro catalysts. It describes implied volatility and realized volatility as compressed, with flat or contangoed term structures, a marked…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This weekly snapshot reviews crypto regulatory developments alongside spot market, decentralized exchange, lending, and network activity. It reports that centralized and decentralized exchange volumes remained below their 2022 peaks, with a modest lift in…

CryptoSpot marketsDeFiOn-chain data
Amberdata research

Amberdata announced that it had become an authorized redistributor of CME Group cryptocurrency futures and options market data. The offering covers Bitcoin and Ether instruments and includes tick-level open interest, trades, and ticker information. Data can…

CryptoFuturesOptionsMarket microstructure
Amberdata research

The interview describes crypto options market making through Laura Vidiella’s experiences at LedgerX, a regulated venue offering fully collateralized contracts, and Paradigm, where institutions trade options in blocks with market makers. It outlines how…

CryptoOptionsMarket makingVolatility
Amberdata research

This February 2024 market commentary links Federal Reserve expectations and scheduled US economic releases with crypto prices, options volatility, and dealer positioning. It reviews concerns about persistent inflation, notes that personal consumption…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast recap describes Lyra V2, a decentralized options protocol that moved from an automated market maker in its first version to a central limit order book. The co-founder attributes the change to the need for a more modular and scalable design,…

OptionsDeFiCryptoDerivatives pricing
Amberdata research

This market commentary connects falling U.S. inflation readings and a surprise credit downgrade with changing risk appetite across traditional and crypto markets. It describes stronger altcoin performance as Bitcoin dominance eased, and highlights bullish…

CryptoOptionsVolatilitySentiment