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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

1,414 documents

Stratmill research code

Threshold autoregression (TAR) extends a standard unit-root test to allow a series to adjust differently depending on whether it is above or below a threshold. The document illustrates the idea with the gasoline crack spread, defined as unleaded gasoline…

CommoditiesStatisticsMean reversion
MQL5 code base

This demo strategy builds two classic Renko streams from bid ticks. A slower stream sets directional bias, while a faster stream triggers entries; trades are permitted only when both streams point the same way and the fast stream meets the entry-run…

CommoditiesTrend followingBreakoutBacktesting
ProRealCode

The document presents a two-hour strategy adapted for Brent crude, combining smoothed RSI crossover signals from the Traders Dynamic Index approach with Heiken Ashi price values and a shifted moving average of typical price. Long entries occur when the…

CommoditiesTechnical indicatorsMomentumPosition sizing
BigQuant

This report overview argues that commodity price forecasts should combine fundamental and technical analysis. It groups actively traded Chinese commodity futures into five broad sectors—ferrous materials, chemicals, agriculture, nonferrous metals, and…

CommoditiesFuturesVolatilityTechnical indicators
MQL5 code base

ColorJCCX is described as a smoothed Commodity Channel Index variant that uses alternative averaging methods, including JMA and an ultralinear method, to make the indicator less erratic. The histogram color represents the interpreted trend direction: blue or…

Technical indicatorsCommoditiesTrend following
quant-trading

The document is a country-level table of oil production economics. It lists operational cost, capital cost, total cost, estimated reserves, daily production, and the 2015 average oil price for twenty producers. The figures allow readers to compare reported…

CommoditiesStatistics
MQL5 code base

This trading system uses crossings between the positive and negative directional indicator lines of a smoothed ADX indicator. It generates a trade signal when the red and green lines cross at a bar close. The description identifies XAUUSD on a four-hour…

CommoditiesTechnical indicatorsTrend followingBacktesting
ProRealCode

The document presents a code implementation of Wilder’s Accumulative Swing Index (ASI), a cumulative price-movement indicator. It calculates the day’s swing from current high, low, open, and close alongside the previous bar’s prices. Intermediate values…

Technical indicatorsCommoditiesEquities
BigQuant

The article explains “price desensitization”: a cyclical company’s shares stop advancing, or weaken, while the underlying commodity price continues to rise. Its proposed rationale is that equity prices anticipate earnings and may have priced in future gains…

EquitiesCommoditiesMomentumRisk management
BigQuant

The document combines two research summaries. The first explains how target-date fund allocations can account for retirement spending as a liability alongside financial assets and human capital. A liability-aware optimization framework treats…

Portfolio constructionFixed incomeCommoditiesEquities
quant-trading

This notebook explores relationships among the Canadian dollar, crude oil benchmarks, and other currencies or commodities. It compares normalized series and fits separate ordinary least squares regressions of CAD against candidate variables, using R-squared…

ForexCommoditiesStatisticsMachine learning
Awesome Systematic Trading

This Japanese-language README curates resources for systematic trading research and implementation, including backtesting and live-trading frameworks, analytics tools, data sources, books, papers, blogs, and courses. Its practical framing is to reproduce…

BacktestingStatisticsMachine learningEquities
BigQuant

The article reviews empirical research comparing commodity futures momentum based on total returns with momentum based on residual, or idiosyncratic, returns after accounting for selected systematic factors. The study forms ranked portfolios across…

CommoditiesFuturesMomentumFactor investing
MQL5 code base

The document outlines an Expert Advisor that trades signals from the BrakeMA semaphore indicator. A signal is generated at bar close when the indicator reverses color and a large dot appears. This gives a basic rule for identifying a possible trend change,…

CommoditiesTechnical indicatorsTrend followingBacktesting
MQL5 code base

This manual explains a MetaTrader indicator suite that charts several CFTC report families, including standard Commitments of Traders, disaggregated reports, financial futures, index traders, and largest-position data. It describes measures of absolute and…

FuturesCommoditiesTechnical indicatorsMomentum
BigQuant

The report presents a framework for timing gold using three proposed price drivers: value preservation, safe-haven demand, and speculation. It builds the first factor from US inflation expectations and trends in US real interest rates, the second from the…

CommoditiesFactor investingMomentumBacktesting
BigQuant

This macro commentary argues that markets may shift from pricing direct conflict risk to pricing the inflation and monetary tightening that an energy supply shock could cause. It describes a possible chain from disrupted shipping through higher oil and gas…

Multi-assetCommoditiesUS marketsRisk management
MQL5 code base

This document presents a library of trading functions for opening and closing positions and calculating trade size. Its sizing routine estimates the loss budget from account equity or balance and a user-specified risk percentage, then divides that budget by…

Position sizingRisk managementForexCommodities
Stratmill research code

This module describes calendar rules for rolling several futures series: crude oil, NBP natural gas, refined products including RBOB, grains, and ethanol. The rules use contract-specific termination conventions, such as dates near the 25th or 15th of a…

FuturesCommoditiesBacktestingTechnical indicators
MQL5 code base

The document describes an audit of terminal-held price bars before they are used for indicators or backtests. It checks OHLC consistency, bar timestamps, missing openings relative to the broker’s stated quote sessions, empty or flat bars, higher-timeframe…

BacktestingStatisticsMarket microstructureForex
BigQuant

This article explains cross-sectional momentum in commodity futures: periodically rank markets by recent performance, buy the strongest and sell the weakest. It distinguishes this relative ranking approach from time-series momentum, which evaluates each…

FuturesCommoditiesMomentumPortfolio construction
ProRealCode

This oil example describes a trend-following setup that combines moving averages with hammer-shaped candles. It defines bullish and bearish regimes using the direction of several moving averages and the close relative to them. In a bullish regime, a bearish…

CommoditiesTrend followingTechnical indicatorsBreakout
quant-trading

This document is a dated market data table spanning observations from 2013 through 2018, with a truncated section indicated by an ellipsis. Columns identify Western Canadian Select crude, gas, WTI, several currency series, Edmonton, gold, and the Canadian…

CommoditiesForexMulti-assetStatistics