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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

5 documents

Quant course library

This document explains how to build a multi-contract strategy using synchronized bar data, per-leg targets, and order management. Its example computes the spread between two weighted contract prices, updates a rolling window, and uses Bollinger Bands to…

FuturesPairs tradingMean reversionTechnical indicators
Quant course library

The document describes a two-leg spread strategy built around Bollinger Bands. It calculates a weighted price difference between two contracts, samples the spread on a five-minute schedule, and compares it with a rolling mean and standard deviation. A move…

FuturesPairs tradingMean reversionTechnical indicators
Quant course library

This strategy forms a spread from two instruments’ bar closes, weighted by configurable leg ratios. It updates the spread at five-minute intervals, keeps a rolling history, and calculates a moving average with upper and lower bands based on the spread’s…

Pairs tradingMean reversionTechnical indicatorsFutures
Quant course library

This guide explains spread trading across related instruments, contrasting it with single-instrument trend strategies. It presents several approaches: latency-sensitive arbitrage between equivalent markets, threshold or Bollinger Band mean-reversion trades…

Pairs tradingArbitrageMean reversionExecution
Quant course library

This spread strategy uses Bollinger Bands to enter and exit positions. After building spread bars and waiting for its array manager to initialize, it calculates the moving average and upper and lower bands over a configurable window. When flat, it opens a…

Mean reversionTechnical indicatorsPairs tradingExecution