Skip to content

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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

13 documents

vn.py community

A forum user asks how to check whether enough funds are available before starting a spread-arbitrage order algorithm. The stated motivation is to avoid opening only one leg of a paired trade when the account cannot support both sides. A reply points to…

ArbitragePairs tradingRisk management
vn.py community

A forum exchange discusses why VeighNa’s StatisticalArbitrageStrategy example uses a ten-unit price offset when starting its spread-trading algorithm. The questioner describes the order logic: a leg order is sent when the spread order price would otherwise…

ArbitragePairs tradingExecution
vn.py community

A trading-system forum discussion explains why a conventional CTA strategy that works on outright futures may fail when applied directly to exchange-listed spread contracts. The reported symptoms include missing backtest data and occasional trades with…

FuturesArbitragePairs tradingExecution
vn.py community

The discussion addresses how a spread strategy should handle ticks arriving at different times for multiple contracts. It describes a latest-available-data approach: cache each leg’s most recent tick and recalculate the spread whenever any leg updates. This…

FuturesArbitrageHigh-frequency tradingMarket microstructure
vn.py community

The discussion explains why an exchange-listed arbitrage contract can show a zero best bid or ask. A forum user reports seeing zero prices while collecting top-of-book quotes. A reply says those quotes appear when traders submit orders directly in the…

ArbitrageMarket microstructure
vn.py community

The post describes a timing issue in a live spread engine for a two-leg arbitrage. At startup, each leg has zero bid and ask volume, so the engine waits until both have received data. Afterward, however, it may calculate a spread as soon as either leg…

ArbitragePairs tradingMarket microstructureExecution
vn.py community

A trader asks how to open two related futures spread positions only when both signals are valid: a forward arbitrage in one contract pair and a reverse arbitrage in another. If either condition is missing, neither position should be opened. The reply points…

FuturesArbitragePairs tradingExecution
vn.py community

This event announcement introduces spread trading as a relative-value approach that focuses on price differences between related futures contracts or between futures and spot instruments. The idea is to trade whether a spread has moved outside a reasonable…

FuturesCommoditiesArbitragePairs trading
vn.py community

A user reports that the CTP interface can retrieve standard arbitrage contracts for Zhengzhou and Dalian exchanges but cannot find the corresponding contracts for the Guangzhou Futures Exchange. A community reply explains that these contracts are available…

FuturesArbitrageExecution
vn.py community

This forum exchange discusses why holdings for standardized futures spread contracts may not appear consistently through a trading platform's position query. The question reports differing behavior across futures firms using CTP connections: one firm…

FuturesArbitrageExecution
vn.py community

The post explains why a VeighNa user may be able to retrieve an SHFE standard spread contract through contract lookup but fail to submit an order. It attributes the problem to a mismatch between exchange combination contracts and the spread trading module’s…

FuturesArbitrageExecutionMarket microstructure
vn.py community

This forum discussion concerns a spread reversal strategy whose two legs sometimes fill together in backtests and sometimes fill days apart. One reply points to a spread-strategy module as a way to address legging. A longer response suggests possible causes:…

Pairs tradingArbitrageBacktestingExecution
vn.py community

This event announcement outlines two educational topics: futures and cash-futures spread trading, and machine-learning methods for developing CTA signals. The spread section describes analyzing related contracts through their price difference, looking for…

FuturesArbitragePairs tradingGrid trading