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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

19,452 documents

Amberdata research

The document outlines Lyra V2 as a decentralized options venue that replaced its earlier automated market maker model with a gasless central limit order book and on-chain settlement. It describes an app-chain architecture based on an optimistic Layer 2…

CryptoOptionsDerivatives pricingRisk management
FMZ forum

This beginner manual explains how to build automated trading strategies on the FMZ platform, using JavaScript examples while noting support for other languages. It walks through the strategy lifecycle, polling market data, configurable parameters,…

CryptoExecutionBacktestingRisk management
Amberdata research

This market update reviews three developments in crypto derivatives: August activity at Deribit, the launch of Bumper, and Kraken’s plans to expand its derivatives business. It reports that Deribit’s volume rose while global derivatives volume fell, with…

CryptoOptionsFuturesVolatility
Amberdata research

This report examines whether Bitcoin blockchain, exchange, investor, and miner measures move alongside price volatility in bull and bear phases. It groups indicators into institutional valuation and unrealized-profit measures, exchange liquidity and ETF…

CryptoOn-chain dataVolatilityStatistics
Kraken Learn

Band Protocol is described as a blockchain service that brings external data to decentralized applications. Validators collect and verify information requested by applications, then relay it through the protocol’s blockchain so transactions can be publicly…

CryptoDeFiOn-chain dataRisk management
OctoBot

The document explains how to launch a selected strategy or crypto basket with real funds through OctoBot Cloud. The user chooses real trading, connects an exchange account using an API key, and starts the bot. OctoBot may first rebalance USD-linked assets…

CryptoExecutionRisk management
SuperMind

This example studies how order latency affects a grid-based market-making strategy for ETH perpetual futures. The strategy estimates trading intensity from the distance between the midpoint and observed trade arrivals, fits a decay relationship to that…

CryptoPerpetual futuresMarket makingGrid trading
Amberdata research

A discussion of research on digital asset managers and hedge funds describes growing institutional interest in crypto, including dedicated strategies, senior staffing, and plans to develop trading approaches and investment products. The report summary notes…

CryptoMarket microstructureOn-chain dataVolatility
SuperMind

This document reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

CryptoSpot marketsTechnical indicatorsBacktesting
Amberdata research

This weekly market review describes how a rally in Bitcoin and Ether affected realized and implied volatility, option skew, term structure, trading flows, and dealer gamma. It reports that volatility rose with spot prices, call premiums deepened—especially…

CryptoOptionsVolatilityDerivatives pricing
Hummingbot docs

In this interview, market maker Harry Yeh discusses applying electronic trading and Hummingbot to cryptocurrency market making. He stresses that operators need to understand limit orders, bid-ask spreads, order levels, parameters, and cancellations before…

CryptoMarket makingHigh-frequency tradingVolatility
Kraken Learn

The document defines a stablecoin depeg as a departure from the value the token is intended to track. It uses a dollar-pegged token falling below its target as an illustration. It notes that small deviations can occur when liquidity is insufficient, while…

CryptoRisk managementSpot markets
Hyperliquid docs

The document explains how delisting works for validator-operated perpetual contracts. Validators vote on whether an asset should be removed; if they approve delisting, the contract settles at the one-hour time-weighted spot oracle price from before the…

CryptoPerpetual futuresDerivatives pricingExecution
Amberdata research

The article summarizes research comparing cryptocurrency data providers and argues that raw data gains value from the context and presentation built around it. It distinguishes on-chain and off-chain sources, and describes how providers may differentiate…

CryptoMarket microstructureExecutionOn-chain data
Freqtrade

This example describes a five-minute long-only strategy built from moving averages, Heikin-Ashi candles, and RSI. It enters when the 20-period EMA crosses above the 50-period EMA, the Heikin-Ashi close is above the faster average, and the candle is positive.…

CryptoTechnical indicatorsMomentumRisk management
FMZ guides

This guide collects exchange-specific implementation details for brokerage and cryptocurrency connections. For Futu, it explains market-specific stock symbol formats, account market identification, and the effect of disabling cached account and position data…

ExecutionMarket microstructureEquitiesCrypto
FMZ forum

The document outlines a cryptocurrency grid strategy designed to run across several exchanges and spot, futures, and perpetual markets. It describes a grid that can operate in both directions or only one direction, with one side disabled by setting its order…

CryptoGrid tradingExecutionMarket microstructure
Amberdata research

The article explains how tokenization can represent fractional claims on real-world assets such as real estate, commodities, collectibles, private credit, equities, and intellectual property. A custodian or other trusted entity holds the underlying asset…

CryptoDeFiOn-chain dataMulti-asset
MQL5 code base

The document describes an indicator that expresses average true range (ATR) as a percentage of an instrument’s price. Showing typical candle movement in percentage terms is intended to make volatility easier to compare across symbols with different price…

VolatilityTechnical indicatorsRisk managementCrypto
FMZ forum

This document is a dated overview of trading-fee arrangements at cryptocurrency exchanges, grouped into domestic and international sections. It distinguishes fixed-rate charges from maker-taker schedules and includes spot and futures fee references. For some…

CryptoExecutionMarket microstructureFutures
Hummingbot docs

The document explains how to configure and launch V2 strategies in Hummingbot. Configurable scripts can be started from YAML configuration, while controllers are loaded through a wrapper script that can list one or more controller configurations. Controllers…

CryptoTechnical indicatorsMean reversionGrid trading
OctoBot

This document explains an index trading mode that maintains a portfolio across a configured set of cryptocurrencies. When the bot starts, it checks which assets are held and their portfolio weights. If an asset is missing or its weight differs from the…

CryptoPortfolio constructionRisk managementSpot markets
Amberdata research

The document outlines ways institutional investors can use blockchain data to study digital asset activity. Aggregated wallet balances, transactions, network fundamentals, and cross-chain flows can help teams monitor portfolio exposure, protocol adoption,…

CryptoOn-chain dataDeFiRisk management