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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

19,452 documents

FMZ forum

The example outlines a periodic rebalancing strategy for a portfolio held across exchange markets. It tracks each asset’s quantity and estimated value, compares that value with a target share of total portfolio value, and places a buy or sell when holdings…

CryptoPortfolio constructionPosition sizingExecution
Hummingbot docs

The document describes a cross-exchange market-making strategy that posts limit orders on a less liquid maker market and hedges filled orders on a more liquid taker market. Maker prices are intended to leave at least a configured minimum profitability…

CryptoMarket makingExecutionRisk management
Amberdata research

The podcast discusses possible growth paths for crypto options, drawing comparisons with traditional markets. Its central argument is that bear markets can give new derivatives products room to attract traders seeking other ways to trade or manage exposure.…

CryptoOptionsDerivatives pricingMarket microstructure
NautilusTrader

This example configures a built-in execution-testing strategy for an ETH perpetual contract on Hyperliquid mainnet. At startup, it can open a position with an immediate-or-cancel order, then maintain post-only limit orders on both sides of the book. It…

CryptoPerpetual futuresExecutionMarket microstructure
Cryptohopper blog

The article introduces support as a price area where buying may absorb selling and resistance as an area where selling may outweigh buying. It presents both as reference points for deciding when to enter or exit cryptocurrency trades. To locate these areas,…

CryptoTechnical indicatorsBreakoutRisk management
Cryptohopper blog

This overview explains moving averages as smoothed price measures used to assess trend, possible support and resistance, and trading signals. It contrasts the simple moving average, which averages observations across a period, with the exponential moving…

CryptoTechnical indicatorsTrend followingMomentum
Amberdata research

This overview explains how Layer 2 protocols reduce the work handled directly by a blockchain’s base layer. They process transactions off-chain or in batches and anchor settlement information to Layer 1. The proposed benefits are lower congestion, reduced…

CryptoExecutionMarket microstructureDeFi
Cryptohopper blog

The article explains the distinction between market makers, who add liquidity by posting buy and sell orders, and market takers, who use existing orders to trade immediately. It introduces the order book, bid and ask prices, and the spread between them,…

CryptoMarket makingMarket microstructureDeFi
FMZ forum

This tutorial explains how FMZ adapts Pine scripts for strategy writing, charting, backtesting, and live trading. It outlines platform-specific differences, including where execution settings and precision are configured, contract-code requirements, added…

Technical indicatorsTrend followingExecutionBacktesting
Amberdata research

This weekly crypto options note links a lower-than-expected US inflation reading and falling yields to a near-term bullish view on risk assets, while noting Bitcoin’s separate spot ETF catalyst. It reviews seasonal expectations for subdued holiday…

CryptoOptionsVolatilityDerivatives pricing
Freqtrade

This five-minute long-only strategy looks for sharp price weakness below a longer-term average and the lower Bollinger Band. It enters when the close is below the 50-period EMA and below 98.5% of the lower band, subject to a volume condition comparing…

CryptoMean reversionTechnical indicatorsRisk management
Amberdata research

This guide outlines a crypto pairs mean-reversion strategy built around cointegration rather than correlation alone. It proposes testing logged price series with the Engle–Granger method, estimating a regression hedge ratio, and checking the resulting spread…

CryptoPairs tradingMean reversionStatistics
Cryptohopper blog

This overview compares seven blockchain networks presented as emerging alternatives in 2022: Solana, Terra, EOS, Avalanche, Polygon, Tezos, and Stellar. It describes their consensus approaches, native tokens, and intended uses, including smart contracts,…

CryptoDeFi
Kraken Learn

The document defines slippage as the gap between a trader’s expected price and the price at which an order executes. It identifies volatility, limited liquidity, large orders, and network delays as possible causes, and distinguishes favorable from…

CryptoExecutionMarket microstructureRisk management
Amberdata research

The document explains the two main parts of a blockchain block and how they work together. A header holds identifying and validation information, including the prior block’s hash, protocol version, timestamp, mining target, nonce, and Merkle root. The body…

CryptoOn-chain data
MQL5 code base

The document outlines an automated strategy that combines RSI and MACD divergence or convergence with moving averages and fractal-based trend lines. It says the EA trades using the open price of the current candle, and describes the trend line as a filter…

CryptoForexEquitiesTechnical indicators
Amberdata research

This brief mid-week recap discusses crypto derivatives conditions for Bitcoin and Ether as of December 6, 2022. It reports that realized volatility continued to make new lows, Bitcoin’s term structure was unchanged over the week, and skew continued to…

CryptoOptionsVolatilityMarket microstructure
OctoBot

The guide explains how to operate several automated trading strategies or crypto baskets at once through OctoBot Cloud. It presents diversification across strategy types, asset baskets, and exchanges as a way to spread exposure and reduce dependence on one…

CryptoPortfolio constructionRisk managementExecution
Cryptohopper blog

The article outlines three approaches to navigating a cryptocurrency bear market: hold unleveraged positions through the downturn, use dollar-cost averaging to add during declines, and hedge portfolio exposure, for example through short selling. It also…

CryptoRisk managementPosition sizing
Kraken Learn

This brief overview presents cryptocurrency volatility as a source of both opportunity and substantial downside. It notes that rapid price moves can contribute to investors losing some or all of their capital over a short period, so exposure needs to be…

CryptoVolatilityPosition sizingRisk management
OctoBot

HODL is a crypto term for keeping an asset through market swings, commonly expanded as “hold on for dear life.” The document traces the spelling to a Bitcoin forum post from December 2013, written during a price decline, and explains how the word grew into a…

CryptoSpot markets
Amberdata research

This year-end market note reviews Bitcoin and Ether volatility conditions around December 31, 2022. It describes unusually quiet Bitcoin trading, a sharp decline in seven-day realized volatility, and Deribit’s volatility index closing near its annual low.…

CryptoOptionsVolatilityDerivatives pricing
Amberdata research

This overview distinguishes price-based market data from blockchain activity data and describes metrics that may help frame digital-asset valuation. Market capitalization is token supply multiplied by price, while trading volume is used as a rough gauge of…

CryptoOn-chain dataDeFiStatistics
FMZ forum

This Chinese-language guide outlines how to build and run automated strategies on FMZ. It describes the platform’s strategy editor, exchange account configuration, hosted execution, and support for several programming languages and crypto venues, as well as…

CryptoEquitiesBacktestingExecution