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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
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

9 documents

BigQuant

This report examines whether commodity futures signals and trades should use the most liquid main contract or an actively traded near-month contract. It defines active near-month contracts using liquidity and price sensitivity, then compares contract choices…

CommoditiesFuturesMomentumCarry
BigQuant

This 2018 research summary introduces China’s two-year government bond futures contract, covering its notional size, eligible delivery bonds, price limits, and minimum margin. It explains that the delivery basket’s remaining-maturity range is narrow, helping…

Fixed incomeFuturesCarryArbitrage
BigQuant

This article explains a cross-sectional futures strategy that ranks commodity contracts by roll yield, going long markets in backwardation and short markets in contango. It distinguishes weekly signal-based direction changes from contract rolls: the former…

FuturesCommoditiesCarryFactor investing
BigQuant

The document outlines a process for forecasting dividends for index constituents, aggregating those estimates into an index-level total, and predicting when the dividends will be paid. Historical distributions are described as concentrated mainly in May…

EquitiesFuturesChina marketsCarry
BigQuant

This document summarizes a commodity futures strategy based on carry and the futures term structure. It describes a directional rule in which the nearby, or main, contract is bought when its price is below the next contract and sold when it is above it. The…

FuturesCommoditiesCarryPortfolio construction
BigQuant

This study examines whether futures-curve shape can rank commodity markets. It explains backwardation, where deferred contracts are cheaper than nearer ones, and contango, where they are more expensive. The article connects these patterns to supply, demand,…

CommoditiesFuturesCarryFactor investing
BigQuant

This literature summary reports research on investment strategies in Chinese commodity futures and notes that long-only approaches produced limited economic returns. Among twelve long-short strategies examined, momentum and term-structure strategies showed…

FuturesCommoditiesMomentumCarry
BigQuant

This Chinese-language research digest summarizes two topics. The first concerns systematic style investing in fixed income: it reports that value, momentum, carry, and defensive premia have shown notable results in both government and corporate bonds,…

Fixed incomeFactor investingMomentumCarry
BigQuant

This study examines value, momentum, carry, and defensive factor returns across six asset classes using data spanning roughly a century. It compares each factor’s discovery period with earlier and later periods, using the long history and cross-asset…

Factor investingMulti-assetMomentumCarry