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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

19,452 documents

Amberdata research

This podcast summary describes SOMA.finance’s plans to connect traditional finance with blockchain markets through token issuance, a decentralized exchange, and yield products. It says the platform aims to support tokenized securities and digital assets,…

DeFiCryptoEquitiesCommodities
Amberdata research

The document reviews BTC and ETH conditions after a sharp market squeeze, connecting macro uncertainty and price levels with options pricing. It describes falling implied volatility alongside elevated realized volatility, negative carry, changes in term…

CryptoOptionsVolatilitySentiment
Stratmill research code

The document explains why a single exchange depth stream may not capture every order-book change. It compares Binance Futures incremental Level 2 data with the more frequently updated book-ticker feed, then shows how to combine them into a consolidated feed…

CryptoMarket microstructureBacktestingMarket making
FMZ forum

This forum post reports a data collection problem when repeatedly switching the selected currency on an exchange and requesting five-minute candle records. The example cycles through ETH, LTC, and BTC, logs the active currency and returned records, then…

CryptoMarket microstructureExecution
FMZ forum

This article describes a monitoring upgrade for a cryptocurrency futures Martingale strategy used with Binance Futures and dYdX bots. The first version showed limited position information and plotted realized profit and loss without accounting for floating…

CryptoFuturesGrid tradingRisk management
Amberdata research

FalconX product manager Jill Gao describes moving from traditional finance into crypto product development and discusses changes in institutional trading. The document outlines Marketspot, a Telegram-based analytics tool that lets users query historical…

CryptoOptionsVolatilityPerpetual futures
Hyperliquid docs

The document explains trailing stops that follow mark price after immediate placement or after an activation price is reached. A short-side trailing stop tracks the highest mark price and triggers when price falls by a chosen fixed distance or percentage; it…

CryptoPerpetual futuresExecutionRisk management
Hummingbot docs

This paper explains why liquidity in digital asset markets is concentrated in a small number of assets and venues, then presents Hummingbot as open-source software intended to make automated market making more accessible. It describes quoting bids and asks,…

CryptoMarket makingArbitrageExecution
Hyperliquid docs

The document outlines the basic steps for staking HYPE through HyperCore. Users need HYPE in their HyperCore Spot Balance, moving tokens from HyperEVM first if necessary. They then transfer HYPE to a Staking Balance and choose a validator. The stated lockup…

CryptoRisk management
OctoBot

The document explains how to run strategy backtests in OctoBot: choose a profile, download historical market data, select a data file, run the simulation, and review performance summaries, charts, and individual trades. It describes how the starting…

BacktestingCryptoExecutionRisk management
Binance API docs

This reference explains Binance user data streams delivered through an authenticated WebSocket subscription, with events available in JSON or SBE format. It describes account position updates, balance changes from transfers or deposits and withdrawals, and…

CryptoExecutionMarket microstructure
Kraken Learn

The document summarizes US federal tax treatment described for cryptocurrency staking. It says rewards are generally included as ordinary income when the recipient gains control, with their value at receipt serving as tax basis even when the tokens are…

CryptoSpot markets
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

This report surveys digital-asset market conditions in the first quarter of 2025, connecting sharp price moves with macroeconomic news, regulatory actions, exchange security events, and institutional positioning. It discusses Bitcoin and Ethereum, ETF flows,…

CryptoOn-chain dataDerivatives pricingVolatility
SuperMind

This overview explains why financial institutions may consider digital assets and surveys market structure, asset categories, trading venues, and regulatory developments. It contrasts crypto markets with traditional finance, emphasizing continuous global…

CryptoMarket microstructureArbitrageDerivatives pricing
Stratmill research code

This Python utility converts Bybit historical depth and trade files into the event array format used by HftBacktest. It reads order book updates from a zipped JSON stream and trades from a gzip-compressed CSV, creates depth, snapshot, clear, and trade…

CryptoMarket microstructureExecutionBacktesting
Amberdata research

This market recap reviews BTC and ETH options positioning during a period when spot prices struggled near technical levels and traders anticipated volatility around the Bitcoin halving. It compares realized and implied volatility, term structures, skew,…

CryptoOptionsVolatilityRisk management
Amberdata research

The document summarizes research and a webinar discussion of Bitcoin options across bull, bear, and volatile market conditions. The presenters examined the volatility surface and its regimes, and argued that traders may find opportunities by adapting ideas…

CryptoOptionsVolatilityDerivatives pricing
Stratmill research code

This example demonstrates a basic workflow for preparing Bybit order book data and running it through a market-making backtest. It shows two conversion paths: a fused conversion for multi-level depth data and a conversion that selects a single depth level.…

CryptoMarket makingBacktestingMarket microstructure
Amberdata research

This brief market recap points readers to four themes in Bitcoin and Ether derivatives: pronounced put skew, the volatility spread between ETH and BTC, large realized-volatility days influencing markets, and buying of longer-dated calls described as…

CryptoOptionsVolatilityDerivatives pricing
FMZ live strategies

This live-robot page shows a screening and observation workflow for newly active tokens across several chains. The displayed table ranks candidates by one-hour volume expansion and reports liquidity, fully diluted valuation relative to liquidity, token age,…

CryptoMomentumOn-chain dataRisk management
Hyperliquid docs

The document explains how linked spot assets move between Hyperliquid’s HyperCore and HyperEVM. A token must first be linked to an EVM contract; transfers from Core use a sendAsset action directed to the token’s system address, while transfers from the EVM…

CryptoSpot marketsExecutionRisk management
Amberdata research

The document argues that informed DeFi analysis requires four complementary data views: protocol, pool, asset, and wallet. Protocol data supports comparisons across financial functions such as lending, staking, and asset management. Pool data describes…

DeFiCryptoOn-chain dataArbitrage
Hyperliquid docs

This document explains Hyperliquid request limits for REST, WebSocket, explorer, and EVM JSON-RPC interfaces, alongside limits tied to individual trading addresses. It distinguishes per-IP request weights from address-based action limits, describes how batch…

CryptoExecutionMarket microstructure