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
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

11 documents

vn.py community

This event outline describes a quantitative study of option spread strategies, with a focus on gold options. Topics include straddles and strangles, bull and bear spreads, butterfly spreads, and put-call parity. It proposes examining the structure of these…

OptionsCommoditiesBacktestingVolatility
vn.py community

The discussion raises two practical issues for CTA strategies: protecting source code when running a strategy on another computer or server, and adapting a strategy as a futures market’s active contract changes. Replies point to a strategy-encryption guide…

FuturesExecutionCommodities
vn.py community

The post outlines a way to backtest a continuous sequence of dominant futures contracts in a VeighNa-based system. It argues that an exchange-style continuous index can differ from trading actual contracts because it blends contract prices and may produce…

FuturesBacktestingExecutionCommodities
vn.py community

A VeighNa community exchange addresses a user’s report that some commodity option contracts cannot be found. The reply suggests checking whether the affected module was started only after the main interface logged that contract queries had succeeded. This…

OptionsCommoditiesExecution
vn.py community

A forum exchange asks whether vn.py version 3.9.1 can still use a TqSdk account to obtain historical data, and what naming convention TqSdk uses for continuous main contracts. The question gives the example of downloading tick history for the main silver…

FuturesCommoditiesExecution
vn.py community

A trader reports an error while running an rb-hc spread strategy in a simulated environment. The failure occurs when the strategy attempts to convert its current grid position into an integer target position, but the value is NaN. The trader suspects that a…

CommoditiesPairs tradingStatisticsExecution
vn.py community

This forum exchange explains why historical prices for a continuous Dalian soybean futures series may differ between the Xt data center and VeighNa downloads. The main issue identified is the adjustment method: VeighNa’s data feed requests ratio-adjusted…

FuturesCommoditiesMarket microstructure
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

The document describes a vn.py and CTP gateway modification for creating live commodity futures indices and identifying each product’s dominant contract. It proposes weighting real contracts by their previous day open interest, selecting a main contract only…

FuturesCommoditiesMarket microstructureExecution
vn.py community

This forum exchange addresses an identifier error when setting up silver options in VeighNa. A user reports that using “ag” as the option portfolio name causes a KeyError during backtesting or simulated trading, despite having downloaded option data and…

OptionsCommoditiesFutures
vn.py community

This brief VeighNa community exchange concerns downloading custom Wind indices through the platform’s data-management interface. A user asks whether self-defined index series, including weighted commodity indices, can be fetched and what code and exchange…

CommoditiesMulti-assetExecution