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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

8 documents

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

The document surveys several ways to seek returns in cryptocurrency markets: lending assets through deposit products, supplying liquidity to earn fees, collecting perpetual-futures funding, trading price differences between contracts with different…

CryptoArbitrageCarryFutures
Quant course library

The strategy compares a synthetic futures price, calculated from a call price minus a put price plus the strike, with the traded futures price. It measures the difference and opens a three-leg position when the spread crosses a configurable entry level: one…

ArbitrageOptionsFuturesDerivatives pricing
Quant course library

The document describes a funding-rate trade that pairs a short perpetual futures position with a long spot position of equal size. It proposes opening the hedge when both the funding rate and quoted spread meet configured thresholds, collecting funding…

CryptoArbitragePerpetual futuresSpot markets
Quant course library

This example manages a spread position using configurable entry and exit prices, a maximum position, order pay-up, and an execution interval. On each spread update, it checks whether the current time falls within the configured trading window. Outside that…

FuturesArbitrageExecution
Quant course library

This algorithm takes liquidity in the active leg of a multi-leg spread when the quoted spread reaches a configured limit. For a long spread, it checks whether the ask is at or below the target; for a short spread, it checks whether the bid is at or above it.…

ExecutionMarket microstructureArbitrageMulti-asset
Quant course library

This algorithm takes liquidity in the active leg of a multi-leg spread when the quoted spread price reaches a configured limit. For a long spread, it acts when the ask is at or below that limit; for a short spread, it acts when the bid is at or above it. It…

ExecutionMarket microstructureArbitrage
Quant course library

The document explains a market-neutral approach to perpetual futures funding. When funding is positive, it proposes buying spot and shorting an equal amount of the perpetual contract; when funding is negative, it proposes borrowing and selling spot while…

CryptoArbitragePerpetual futuresSpot markets