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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

19,452 documents

Amberdata research

The document analyzes a sharp crypto market selloff through price moves, liquidations, open interest, funding, order book depth, imbalance, and spreads. It describes a two-stage explanation: macro events first pushed prices lower, then leveraged positions…

CryptoPerpetual futuresMarket microstructureRisk management
Amberdata research

This market recap describes how Bitcoin and Ether derivatives changed during a sharp Bitcoin rally linked in the document to positive news about BlackRock and EDX Markets. It tracks realized volatility, term structure, option skew, trading volume, and dealer…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

The paper constructs a monthly measure of fear of missing out from three weighted components: a short-term versus long-term moving-average spread, Google search activity for FOMO-related terms, and investor margin-account use. It examines the index over 2004…

SentimentMomentumStatisticsEquities
Cryptohopper blog

This article explains short selling as borrowing or entering a position that benefits when a cryptocurrency’s price falls, then closing at a lower price. It discusses using short positions to express a bearish view, hedge existing long exposure, or seek…

CryptoDerivatives pricingOptionsRisk management
Hyperliquid docs

This technical reference describes how deployers configure and operate builder-deployed perpetual markets on Hyperliquid. It covers market and asset registration, oracle updates, funding parameters, margin tables and modes, fee settings, open-interest caps,…

CryptoPerpetual futuresDerivatives pricingRisk management
SuperMind

The document explains impermanent loss for decentralized exchange liquidity providers. AMMs maintain pool balances through pricing formulas; when an asset’s market price moves relative to its pool partner, arbitrage trades restore alignment and change the…

CryptoDeFiMarket makingRisk management
FMZ forum

The document presents a workaround for trading across exchanges that do not expose a consistent function for retrieving order precision. It proposes reading ask-side depth and inferring price and amount decimal precision from the values shown there,…

CryptoExecutionMarket microstructure
Cryptohopper blog

The article presents a momentum oscillator strategy for trading Optimism (OP) on Binance. Its basic rule treats low Ultimate Oscillator readings as potential buy signals and high readings as potential sell signals. A backtest search over indicator settings…

CryptoMomentumTechnical indicatorsBacktesting
BigQuant

This educational article explains a crypto bubble as a rapid price rise driven by investment enthusiasm and expectations of quick gains, followed by the possibility of a sharp decline. It attributes bubble formation to new investors, fear of missing out,…

CryptoSentimentRisk managementPortfolio construction
Kraken Learn

The article compares cryptocurrency transfer and settlement times with conventional international payments and domestic payment systems. It explains that crypto networks use distributed participants to record and verify transactions, and presents examples of…

CryptoMarket microstructureExecution
ProRealCode

The Range Filter aims to reduce minor price fluctuations so that directional moves are easier to see. It first smooths the absolute change in price, then scales that average range by a multiplier. The resulting threshold governs a filter line: price…

Technical indicatorsBreakoutTrend followingCrypto
Cryptohopper blog

The article surveys common cryptocurrency frauds, grouping them into attempts to gain access to a wallet and schemes that persuade victims to transfer assets. Examples include fake websites and apps, phishing, pump-and-dump promotions, romance and Ponzi…

CryptoRisk managementOn-chain data
Amberdata research

This market recap interprets Bitcoin and Ethereum options through realized and implied volatility, term structure, skew, option flows, and dealer gamma positioning. It describes Bitcoin volatility rising as spot tested resistance and Ethereum volatility…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This podcast summary introduces Superstate's approach to representing traditional financial assets on a blockchain. Its featured product, USTB, is described as a tokenized short-term US government bond product. The discussion centers on using blockchain to…

Fixed incomeDeFiCryptoDerivatives 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
FMZ forum

This article describes a way to send alerts when a strategy’s position changes, using FMZ Mylanguage together with its JavaScript enhancement feature. The example strategy uses Williams %R and a moving average to generate long and short signals. The article…

CryptoFuturesExecutionTechnical indicators
Amberdata research

The report studies temporal changes in order-book depth and imbalance for Binance’s BTC/FDUSD market using minute-level data collected from July 1 to August 12, 2025. It describes an intraday depth peak around 11:00 UTC and a trough around 21:00 UTC,…

CryptoMarket microstructureExecutionStatistics
OctoBot

The document introduces spot trading as buying or selling cryptocurrency at the current market price with the asset intended for immediate delivery. It contrasts this with futures and options, which involve contracts tied to later transactions or specified…

CryptoSpot marketsExecutionRisk management
Kraken Learn

The document explains how a crypto debit card funds purchases by converting crypto to fiat at the point of sale. It contrasts this with traditional debit cards and crypto credit cards, covering funding, liquidation timing, spending limits, rewards, credit…

CryptoSpot marketsRisk management
NautilusTrader

This tutorial demonstrates a component-level backtest workflow using NautilusTrader. It loads historical Binance ETH/USDT trade ticks, configures a simulated spot venue with a cash account and maker-taker fees, and aggregates ticks into bars. A strategy…

CryptoTechnical indicatorsTrend followingExecution
Amberdata research

This report compares hourly Bitcoin returns, volatility, and trading volume across Binance, Bybit, Coinbase, HTX, Kraken, and OKX. It groups activity by the trading hours of several regions, using standard deviation of hourly returns as a volatility proxy…

CryptoVolatilityStatisticsMarket microstructure
Amberdata research

The article argues that a sharp selloff in World Liberty Financial Token (WLFI) preceded a broader cryptocurrency decline and may have offered an early warning of market stress. It highlights a reported surge in WLFI trading volume after tariff news,…

CryptoMarket microstructurePerpetual futuresVolatility
Amberdata research

This market recap reviews BTC and ETH options conditions during a week when spot prices drifted lower and realized volatility eased. Implied volatility also declined, but less than realized volatility, which the author says returned volatility carry to…

CryptoOptionsVolatilityDerivatives pricing