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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

2,013 documents

arXiv papers

This document describes a benchmark-relative strategy that uses time-series momentum to time excess returns across related investable indices. It needs only benchmark and related-index return series, avoiding regression-based parameter estimation. The…

MomentumMulti-assetEquitiesFixed income
arXiv papers

The document frames large-order execution as a trade-off between liquidity costs and price risk. Trading quickly can increase market impact when liquidity is limited, while trading slowly leaves the order exposed to adverse price moves during the execution…

Multi-assetExecutionRisk managementStatistics
arXiv papers

The document proposes a probabilistic way to classify market behavior from price velocity and acceleration. It describes departures from a random walk using two dimensionless quantities: a Froude number comparing acceleration with velocity, and a forecast…

Multi-assetTechnical indicatorsTrend followingMean reversion
arXiv papers

This study applies fractal geometry and statistical analysis to Bitcoin returns to examine persistence, predictability, and market structure. It compares nine cryptocurrencies, together representing almost three quarters of market capitalization, with…

CryptoStatisticsMulti-assetCommodities
arXiv papers

The paper considers the prospects and challenges of creating a cryptocurrency for transactions in Rwanda, which it calls Rwandacoin. It places the idea in the context of growing cryptocurrency use for online transactions and blockchain adoption in Africa. A…

CryptoMulti-asset
arXiv papers

The document introduces TrendFolios, a portfolio construction framework that combines momentum and trend-following signals across several asset classes and asset-class risk factors. It describes an active investment strategy and says the framework is…

Multi-assetTrend followingMomentumPortfolio construction
arXiv papers

This document studies how to manage positions across several mean-reverting assets, including whether an asset with no mean reversion can still belong in the portfolio. It formulates position management as an optimal control problem for an investor with…

Mean reversionMulti-assetPortfolio constructionPosition sizing
arXiv papers

This paper extends the Almgren–Chriss optimal execution framework to account for shared capital limits when rebalancing several assets. It constrains expected cumulative cash spending at every trading period, so a schedule must remain feasible throughout…

Multi-assetExecutionRisk management
arXiv papers

The document examines whether models that map market conditions directly to portfolio weights can outperform conventional cross-asset futures strategies. It describes training these policies on sixteen liquid CME futures with a differentiable Sharpe-ratio…

FuturesMulti-assetMachine learningPortfolio construction
arXiv papers

This framework links a target-date fund’s investment objective to pension design inputs, such as contribution rates, working years, retirement age, and replacement-rate goals. Instead of prescribing age-based asset limits alone, a sponsor specifies a…

Multi-assetRisk managementPortfolio constructionStatistics
Quantpedia

This strategy ranks five ETFs representing US stocks, foreign stocks, bonds, real estate, and commodities by their trailing 12-month returns. It selects the three strongest, weights them equally, holds them for one month, then repeats the ranking and…

Multi-assetMomentumPortfolio constructionRisk management
Quantpedia

This document describes a tactical allocation rule that uses a ten-month simple moving average to time exposure across asset classes. Its example holds five equally weighted ETFs covering US and foreign equities, bonds, real estate, and commodities when each…

Multi-assetTrend followingMomentumTechnical indicators
Quantpedia

Paired switching rotates investment between two negatively correlated assets instead of holding a static mix. A simple example ranks an equity fund and a government bond fund by their returns over the prior quarter, invests in the stronger performer for the…

Multi-assetMomentumPortfolio constructionRisk management
Quantpedia

The document outlines a global tactical allocation strategy that combines value and momentum signals across asset classes. It ranks investable markets using 12-month momentum, 1-month momentum, and an asset-specific valuation measure: earnings yield for…

Multi-assetFactor investingMomentumPortfolio construction
Quantpedia

The document describes a process for turning academic finance research into systematic strategy summaries. Strategies are grouped by market and theme, with trading rules, rebalancing schedules, performance and risk characteristics, and references to…

Multi-assetTrend followingMomentumFactor investing
Quantpedia

The document describes a process for turning academic finance research into systematic strategy summaries. Strategies are grouped by market and theme, with trading rules, rebalancing schedules, performance and risk characteristics, and references to…

Multi-assetTrend followingMomentumFactor investing
Quantpedia

The document describes a process for turning academic finance research into systematic strategy summaries. Strategies are grouped by market and theme, with trading rules, rebalancing schedules, performance and risk characteristics, and references to…

Multi-assetTrend followingMomentumFactor investing
Quantpedia

The document describes a process for turning academic finance research into systematic strategy summaries. Strategies are grouped by market and theme, with trading rules, rebalancing schedules, performance and risk characteristics, and references to…

Multi-assetTrend followingMomentumFactor investing
QuantInsti blog

The article introduces macroeconomics through national output, unemployment, inflation, interest rates, and government policy. It explains three approaches to calculating GDP, distinguishes nominal from inflation-adjusted GDP, and describes per-capita and…

Multi-assetEvent-drivenStatistics
Quant Q&A

The document asks why credit spreads on bonds from the same borrower can differ between currencies, with USD and CHF as examples. One response attributes the difference partly to currency-specific default probabilities and recovery rates. This frames credit…

Fixed incomeMulti-assetDerivatives pricing
Quant Q&A

The document asks whether legacy MetaStock end-of-day files can be loaded directly into pandas. It describes the format as binary and notes that it is associated with several file types, but gives no decoding procedure or implementation details. The accepted…

Multi-assetStatistics