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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

1,747 documents

Amberdata research

This weekly digital-asset report examines a market decline through prices, volatility, trading activity, ETF and stablecoin flows, open interest, perpetual funding, orderbook depth, spreads, and long-short positioning. It describes falling prices and open…

CryptoPerpetual futuresMarket microstructureVolatility
SuperMind

The document describes a cryptocurrency market-making robot that places multiple buy and sell limit orders around a chosen reference price. The reference can come from the traded instrument’s order book, a marked contract price, or an index price. Users set…

CryptoMarket makingExecutionMarket microstructure
FMZ live strategies

This page records a live Binance futures robot associated with a strategy whose name describes chasing rising and falling prices. It shows a one-hour chart setting, a short runtime, and account and performance snapshots. The reported account table shows a…

FuturesCryptoPerpetual futuresRisk management
FMZ forum

This tutorial outlines a polling alert bot for Binance USDT-margined futures. It describes retrieving ticker prices, comparing them with configured upper and lower thresholds, and sending notifications to a DingTalk group. The example also covers signing…

CryptoFuturesPerpetual futuresExecution
FMZ forum

The document outlines a workflow for trading coin-margined cryptocurrency contracts from TradingView signals. TradingView alerts send webhook messages to an FMZ robot, which can open long or short positions at market or close positions. The proposed opening…

CryptoPerpetual futuresExecutionPosition sizing
Hummingbot docs

Hummingbot 1.26 reorganizes its Strategy V2 framework around a unified market data provider. The provider gives multiple controllers access to historical candles, trades, and live order book data, which they can share while coordinating sub-strategies and…

ExecutionMarket microstructureCryptoPerpetual futures
Hummingbot docs

Hummingbot 2.13.0 release notes describe exchange integrations and changes to strategy infrastructure. New connectors add spot and perpetual trading on Backpack, and perpetual futures access on Pacifica and Aevo. The XRPL connector replaces WebSocket user…

CryptoPerpetual futuresSpot marketsMarket making
Kraken Learn

The document explains how fixed-term futures differ from perpetual futures. Fixed-term contracts expire on a specified date, have no funding-rate mechanism, and may settle in cash or through delivery depending on the contract. In the Kraken examples…

FuturesCryptoPerpetual futuresExecution
Hyperliquid docs

Hyperps are perpetual contracts that can exist before an underlying asset or index is available. Instead of referencing an external spot or index oracle, the contract uses an exponentially weighted average of recent mark prices as its oracle input. The…

CryptoPerpetual futuresDerivatives pricingMarket microstructure
FMZ live strategies

This page reports account and position information for a live multi-signal strategy trading BTC/USDT futures on OKX with a one-hour K-line period. It does not disclose the component signals, rules for combining them, or position management method, so the…

FuturesCryptoPerpetual futuresRisk management
NautilusTrader

This reference explains a mark price update as a data record for an instrument’s current mark price. The record includes an instrument identifier, price value, event timestamp, and initialization timestamp. It distinguishes mark prices from trade…

CryptoPerpetual futuresRisk managementBacktesting
FMZ forum

The article discusses practical API considerations for market making on BitMEX, focusing on its Bitcoin perpetual contract. It describes active trading, maker rebates, deep top-of-book liquidity, and relatively small price fluctuations as features that can…

CryptoMarket makingExecutionMarket microstructure
Amberdata research

This episode recap introduces dealer gamma profiles and their possible effects on crypto price dynamics. Dealers commonly adjust hedges to maintain delta neutrality; when their net options exposure is short gamma, hedging may involve selling into rising…

CryptoOptionsVolatilityMarket microstructure
Hyperliquid docs

This guide explains how to access Hyperliquid through an email login or a connected wallet, enable trading, and fund an account. It describes depositing USDC or supported assets from several networks, notes that some deposits require a source-chain gas…

CryptoPerpetual futuresSpot marketsExecution
FMZ forum

The author describes a cryptocurrency strategy built around trend-aware entry selection and dynamically adjusted distances for adding to losing positions. After an initial trade, the method uses martingale-style averaging rather than promptly admitting a…

CryptoPerpetual futuresPosition sizingRisk management
Amberdata research

The article explains how periodic funding payments in perpetual swaps help keep contract prices near spot prices. When funding is positive, longs pay shorts; when negative, shorts pay longs. These payments affect the net cost of holding a position and can…

CryptoPerpetual futuresCarryArbitrage
NautilusTrader

This example sets up a backtest of an exponential moving average crossover on Binance’s Bitcoin perpetual market. It loads the instrument, configures a margin account with a maker and taker fee model, supplies one minute bar data from a CSV file, and…

CryptoPerpetual futuresTechnical indicatorsBacktesting
Amberdata research

This digital-asset snapshot combines spot prices and volume with order-book liquidity, perpetual funding, open interest, long/short positioning, liquidations, stablecoin flows, and staking yields. Its central market reading is that Bitcoin’s price strength…

CryptoPerpetual futuresMarket microstructureRisk management
NautilusTrader

This document defines a funding-rate update record for a perpetual swap instrument. It identifies the instrument and rate, and may include the funding interval and next scheduled funding timestamp when supplied by the venue. Event and initialization…

Perpetual futuresDerivatives pricing
NautilusTrader

The document presents a plotting utility for examining a dYdX grid market maker run. It parses logs for mid-price requotes and order submission, acceptance, and cancellation events, then generates panels for theoretical grid levels around the mid-price,…

CryptoMarket makingGrid tradingExecution
Hummingbot docs

Hummingbot version 1.13.0 introduced an early Directional Framework for managing positions on perpetual exchanges. Its PositionExecutor accepts a position configuration and uses a triple barrier approach: a stop loss, a take profit, and a time limit. The…

CryptoPerpetual futuresTechnical indicatorsRisk management
Amberdata research

This report excerpt examines how leverage built up in Bitcoin derivatives during 2025 and how crowded long positioning contributed to a liquidation cascade. It uses open interest as a measure of outstanding leverage, perpetual-futures funding rates as a…

CryptoPerpetual futuresDerivatives pricingRisk management
Amberdata research

This report examines a period of subdued crypto prices and volatility through several market indicators: implied volatility, perpetual futures funding, long-short positioning, spot volume, and open interest. It compares Bitcoin volatility with measures for…

CryptoVolatilityPerpetual futuresSentiment
Amberdata research

This market commentary connects macro events and crypto derivatives positioning with a bullish view on Bitcoin and possible catalysts for Ether. It discusses implied and realized volatility, options open interest and skew, futures basis, and perpetual…

CryptoOptionsFuturesPerpetual futures