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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

MQL5 code base

This introductory guide explains cryptocurrency concepts such as blockchains, wallets, exchanges, and volatility, then outlines ways to begin investing. It distinguishes long-term holding from short-term trading and recommends researching assets, choosing a…

CryptoTechnical indicatorsRisk managementBacktesting
Hummingbot docs

This release overview describes Hummingbot 1.24 features for building and operating algorithmic trading strategies. Scripts can now define parameters in a configuration class and load them from YAML files, making settings easier to modify and share. The…

CryptoMarket makingTrend followingTechnical indicators
FMZ forum

The post describes a crypto strategy that combines signals from the SSL Hybrid indicator with Stochastic RSI. It uses SSL Hybrid’s exit-line crossovers as directional triggers: an upward crossover can initiate a long trade when both Stochastic RSI lines are…

CryptoTechnical indicatorsMomentumBacktesting
Cryptohopper blog

The document explains a simulated trading feature for trying an automated crypto trading setup without connecting an exchange account or risking real funds. It describes selecting paper trading during account setup, choosing an exchange’s live market data,…

CryptoBacktestingExecution
Binance API docs

This reference explains the account and order events delivered through Binance Spot Testnet user data streams. It describes balance position updates, deposit and withdrawal changes, order execution reports, order list status, stream termination, and external…

CryptoSpot marketsExecutionMarket microstructure
FMZ forum

This post raises a troubleshooting question about discrepancies between Bollinger Bands calculated with a platform’s TA.BOLL function and bands displayed on a chart. The example uses 20-period bands with a multiplier of two on one-minute data. Logged…

Technical indicatorsStatisticsCrypto
OctoBot

The document explains how an OctoBot strategy owner can distribute crypto trading signals from a Telegram group. The setup involves adding OctoBot’s bot to the group with administrator access, retrieving the channel identifier, enabling the Telegram…

CryptoExecution
Hummingbot docs

This release note describes Hummingbot updates, including connectors for Hyperliquid and the XRP Ledger, plus a sample crypto volatility screener. The screener periodically analyzes multiple cryptocurrency pairs on a chosen exchange using percentage changes,…

CryptoVolatilityTechnical indicators
FMZ live strategies

This live dashboard scans concentrated liquidity pools across several chains and decentralized exchanges, then ranks them by estimated annualized fees. It lists each pool’s pair, fee tier, total value locked, 24-hour trading volume and trade count, turnover,…

CryptoDeFiOn-chain data
Hyperliquid docs

This documentation note outlines basic trading parameters for Hyperliquid perpetual markets. It says the venue supports more than one hundred assets, with additions guided by community input and a longer-term aim of permissionless listings. Maximum leverage…

CryptoPerpetual futuresRisk management
Amberdata research

This market newsletter presents a bullish Ethereum thesis against a backdrop of expected US inflation releases and possible changes in Federal Reserve rate-cut expectations. It frames ETH as a higher-beta technology and web3 exposure, while describing…

CryptoOptionsFuturesVolatility
FMZ forum

The document explains funding payments as a mechanism used by perpetual futures to help keep contract prices anchored to spot when there is no expiry and settlement. It describes the usual payment direction: when funding is positive, longs pay shorts; when…

CryptoArbitragePerpetual futuresSpot markets
FMZ forum

This platform note lists operating details for Bybit futures bots, including the API environments, contract denomination, minimum order size, settlement and quote currencies, margin rates, and supported coins. It also describes how leverage settings interact…

CryptoFuturesExecutionRisk management
FMZ live strategies

This live-account listing describes a grid strategy operating on the BNB USDT perpetual contract using a 30-minute candle period. It shows a long position and reports account balances, returns, drawdown figures, liquidation estimates, trade activity, and an…

CryptoPerpetual futuresGrid tradingRisk management
Amberdata research

This market snapshot reviews digital-asset developments around early January 2024, including conflicting reports about spot Bitcoin ETF decisions, a lending-protocol exploit, and Solana’s recovery. It interprets reported spot trading activity, decentralized…

CryptoSpot marketsDeFiOn-chain data
Amberdata research

This market snapshot reviews crypto price performance, centralized exchange share, futures positioning, and activity in a Uniswap v2 USDC/WETH pool. It describes BTC and ETH gains over the month covered, while MATIC and SOL declined, and notes Binance’s…

CryptoFuturesDeFiOn-chain data
NautilusTrader

This example describes a live quoting strategy for the same crypto asset on OKX spot and perpetual swap markets. On startup it buys a small spot position, subscribes to quotes for both instruments, and places post-only bid and ask limit orders at…

CryptoSpot marketsPerpetual futuresMarket making
FMZ forum

The document records a Binance futures buy order rejected with an error stating that the submitted price did not increase by the required tick size. The accompanying function reads the latest traded price, applies a small upward adjustment, calculates a…

CryptoFuturesExecutionMarket microstructure
Amberdata research

The report reviews a week of crypto market weakness and looks for signs that forced selling may be easing. It combines spot prices, trading volume, realized volatility, open interest, funding, ETF and stablecoin flows, order book depth, and DeFi lending…

CryptoVolatilityMarket microstructurePerpetual futures
FMZ forum

The article explains how to inspect market-order results from a simulated BTC/USDT account using an exchange debugging tool and the Wex order history. In its examples, the standard average-price field is zero, while the first fill detail contains the…

CryptoSpot marketsExecutionStatistics
Freqtrade docs

FreqAI is presented as an open source framework for training machine learning models to forecast market targets from user defined indicators. Users supply features and future looking labels; the framework trains a model for each listed trading pair and…

Machine learningCryptoBacktestingStatistics
FMZ forum

The post describes a user’s issue with a simulated cryptocurrency spot backtest: its performance overview appears to classify buys as idle periods and does not record sells. The sample strategy uses a moving-average crossover, tracks position state with a…

CryptoSpot marketsBacktestingTechnical indicators
Amberdata research

This article outlines how institutional crypto teams can assess whether their market and on-chain data coverage supports trading, research, compliance, and risk work. It links potential data gaps to symptoms such as missed arbitrage opportunities, difficulty…

CryptoArbitrageBacktestingRisk management
FMZ forum

The author argues that strategies depend on market behaviors that are not stable over time. Arbitrage is presented as relying on price differences between venues tending to converge; trend following, grid trading, martingale approaches, and news trading each…

CryptoMean reversionTrend followingArbitrage