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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

1,747 documents

Amberdata research

This article explains how derivatives can hedge existing crypto holdings or express views on future prices, and how market data can inform those decisions. It describes monitoring open interest and trading volume for clues about liquidity and changes in…

CryptoDerivatives pricingRisk managementArbitrage
Hyperliquid docs

The support note explains liquidation in terms of account equity and maintenance margin. When positions move against a trader and account equity falls below the required maintenance level, a liquidation event occurs. This links trading losses to the…

CryptoRisk managementPerpetual futures
Amberdata research

This weekly digital asset review combines regulatory and product news with market indicators for Bitcoin, Ethereum, and Solana. It discusses ETF holdings and weekly flows, futures open interest across exchanges, long-short ratios, and funding rates. The…

CryptoFuturesTechnical indicatorsSentiment
NautilusTrader

This guide describes connecting to AX Exchange, a regulated venue for derivatives on traditional asset classes. It outlines perpetual and dated futures, including USD cash settlement, funding payments, contract sizing, margin, and how the adapter maps venue…

FuturesPerpetual futuresExecutionMarket microstructure
Hyperliquid docs

The document explains funding payments for Hyperliquid crypto perpetual contracts, which transfer value between longs and shorts to help keep contract prices aligned with spot. The payment direction depends on the premium of the contract relative to an…

CryptoPerpetual futuresDerivatives pricingRisk management
Hummingbot docs

This developer overview explains the components used to connect Hummingbot to spot and perpetual exchanges. It describes the exchange or derivative class, authentication, order book and user stream trackers, their data sources, and the order trackers that…

CryptoSpot marketsPerpetual futuresMarket microstructure
Amberdata research

This market snapshot reviews crypto developments around Bitcoin’s reported all-time high and the passage of the GENIUS Act, alongside ETF flows, corporate treasury activity, futures open interest, long-short ratios, and funding rates. It describes a market…

CryptoFuturesPerpetual futuresSentiment
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

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
FMZ forum

The author describes a Binance perpetual futures strategy that used recent trades, order book depth, and current positions to infer short-term direction and place maker orders. In a rising market it opened longs and closed shorts; in a falling market it did…

CryptoPerpetual futuresHigh-frequency tradingExecution
NautilusTrader

This integration guide describes a Rust and Python adapter for connecting NautilusTrader to Coinbase Advanced Trade. It covers live market data and order execution for spot products and Coinbase Financial Markets derivatives, including perpetual swaps and…

CryptoSpot marketsPerpetual futuresFutures
Kraken Learn

The document describes reducing directional exposure in a crypto spot portfolio by shorting perpetual futures. A short position with notional value matching the spot holding is presented as an approximately delta-neutral hedge: losses in spot may be offset…

CryptoSpot marketsPerpetual futuresRisk management
FMZ forum

The article reviews how a crypto perpetual-futures funding strategy changed as more traders adopted it. It describes lower positive premiums, less extreme negative premiums during declines, faster-moving entry opportunities that increase slippage, and…

CryptoArbitragePerpetual futuresExecution
Hummingbot docs

The release notes describe an update to Hummingbot’s hedge strategy. It can hedge multiple assets across multiple exchanges, size hedges by asset amount or quote-currency value, and use either spot or perpetual markets for monitored and hedge legs. The notes…

CryptoArbitrageSpot marketsPerpetual futures
Hyperliquid docs

The document defines the account value and profit-and-loss measures displayed in Hyperliquid portfolio graphs. Account value combines unrealized profit or loss on cross-margin and isolated-margin positions with vault balances. P&L adjusts account value for…

CryptoPerpetual futuresPortfolio construction
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
Hyperliquid docs

The document explains how an EVM layer can read current trading and account information from a connected exchange core, including positions, balances, vault equity, staking data, oracle prices, and block height. It describes the consistency guarantee for…

CryptoExecutionMarket microstructureSpot markets
FMZ forum

The author describes paying to rent several crypto trading strategies and losing money on most of them. A platform strategy reportedly made money earlier, while a more recent funding rate approach stopped working as futures and spot prices converged. These…

CryptoPerpetual futuresRisk managementBacktesting
Freqtrade docs

The document explains how an automated trading system handles spot, margin, and futures modes. Spot trading uses unleveraged long positions, while margin borrows capital and futures trade derivative contracts that may incur funding payments. It distinguishes…

CryptoFuturesPerpetual futuresRisk management
Amberdata research

This market snapshot examines a broad crypto selloff alongside macroeconomic and policy developments. It tracks spot prices, realized volatility, trading volume, open interest, funding, ETF flows, stablecoin supply, order-book depth, and DeFi liquidations.…

CryptoVolatilityPerpetual futuresMarket microstructure
Hummingbot docs

These release notes describe updates to Hummingbot trading infrastructure, including four new perpetual futures connectors and changes to Gateway’s decentralized exchange integration. The connector additions support order and position workflows across…

Perpetual futuresBacktestingExecutionMarket making
NautilusTrader

This tutorial describes a live short-volatility strategy that sells an out-of-the-money BTC call and put on Bybit, then hedges the resulting delta exposure with a BTCUSDT perpetual. It selects strikes by percentile within the nearest-expiry option chain,…

CryptoOptionsVolatilityPerpetual futures
Hummingbot docs

The document introduces a connector for Perpetual Protocol and an automated strategy intended to trade price differences between perpetual contracts and spot markets. It describes comparing perpetual venues, including decentralized and centralized futures…

CryptoArbitragePerpetual futuresSpot markets
Amberdata research

This digital asset snapshot combines price dispersion, order-book conditions, derivatives positioning, ETF flows, stablecoin movements, and DeFi lending measures to describe crypto market stress. Its central reading is mixed: BTC funding is negative while…

CryptoMarket microstructurePerpetual futuresDeFi