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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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

1,414 documents

Stratmill research code

This module constructs a continuous futures series by identifying contract roll dates and calculating the price gap between the expiring contract and the next contract. It accumulates those gaps through time and can align the adjusted series at its end. A…

FuturesBacktestingCommoditiesStatistics
BigQuant

The document describes a commodity futures strategy that ranks 28 markets by changes in Twitter-derived sentiment. It calculates daily sentiment from keyword-matched posts using a financial sentiment dictionary, then forms equal-weighted long and short…

FuturesCommoditiesSentimentFactor investing
WonderTrader

This document is a historical intraday dataset for the Dalian Commodity Exchange iron ore futures contract. Its rows report timestamped five-minute open, high, low, and close prices, along with volume, turnover, and open interest. The visible entries cover…

FuturesCommoditiesChina marketsBacktesting
MQL5 code base

The trading system described uses the ColorTrend_CF indicator to detect changes in trend direction. It generates a signal when a bar closes and the indicator’s cloud changes color. The document identifies a historical test on XAUUSD at the four-hour interval…

CommoditiesTrend followingTechnical indicatorsBacktesting
MQL5 code base

This XAUUSD indicator description outlines a multi-timeframe method for locating liquidity and order blocks across daily, H4, M30, M15, and M5 charts. It marks areas where higher-timeframe liquidity aligns with M5 levels, then looks for a sweep followed by…

CommoditiesBreakoutTechnical indicatorsRisk management
ProRealCode

This intraday strategy looks to short crude oil when a five-minute candle signals a downside breakout. The signal requires both candle range and volume to exceed three times their respective averages over a 276-bar lookback, with the candle closing below its…

CommoditiesFuturesBreakoutTrend following
MQL5 code base

The document describes an indicator that plots relative strength or correlation across eight currencies and gold. Users choose one of several technical measures as the basis for the calculation: moving average, MACD, stochastic oscillator, RSI, CCI, Relative…

ForexCommoditiesTechnical indicators
BigQuant

This document is a brief outline of a presentation on machine learning in finance. It names four application areas: Lasso regression for commodity futures price prediction, decision trees for detecting possible financial fraud, logistic regression for…

Machine learningCommoditiesFuturesEquities
TqSdk

This code describes a mean-reversion strategy for the spread between Dalian Commodity Exchange coke and coking coal futures. It calculates a weighted value spread using contract prices, contract multipliers, and a specified leg ratio, then estimates the…

FuturesCommoditiesPairs tradingMean reversion
BigQuant

This article explains risk parity as an allocation approach that assigns comparable risk contributions across assets or risk factors, unlike capital-weighted mixes such as a conventional stock and bond portfolio. It lays out assumptions behind the method,…

Multi-assetPortfolio constructionRisk managementVolatility
MQL5 code base

The document introduces Williams %R as a momentum oscillator that locates the closing price within the recent high-low range over a chosen lookback period. Its scale runs from −100, where the close matches the period low, to 0, where it matches the period…

Technical indicatorsEquitiesCommodities
MQL5 code base

This document describes a MetaTrader 5 indicator for sizing gold positions from a chosen account balance, risk percentage, entry price, and stop-loss price. It applies a standard risk-based calculation using the stop distance and the instrument’s tick value…

CommoditiesRisk managementPosition sizing
MQL5 code base

This Expert Advisor description outlines a simple entry approach based on consecutive directional candlesticks rather than technical indicators. A trade signal occurs when a configurable number of candles are all rising or all falling; the input parameter…

Technical indicatorsBacktestingExecutionCommodities
MQL5 code base

The document describes a modified Commodity Channel Index (CCI). In the conventional calculation, the reference price average is a simple moving average, and the deviation measure is calculated around that average. The proposed variant replaces both…

Technical indicatorsCommoditiesStatistics
BigQuant

This article explains a Dual Thrust trend-following method and its application to a basket of nickel, rebar, and coking coal futures. It defines a range from historical highs, lows, and closes, then sets upper and lower breakout thresholds around the current…

FuturesCommoditiesTrend followingBreakout
SuperMind

This historical account explains how Bridgewater developed the All Weather approach from a broader effort to understand recurring economic relationships. Its core framework separates returns into cash, market beta, and manager alpha, then considers how…

Multi-assetPortfolio constructionRisk managementFixed income
quant-trading

This README introduces a planned quantitative research project connecting iron ore spot prices with the currencies of countries that export iron ore. It presents the project as an extension of an earlier commodity-focused trading strategy, with an intended…

CommoditiesForexStatisticsArbitrage
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

CryptoOn-chain dataStatisticsCommodities
ProRealCode

This Gold trading system turns an observed relationship between price waves and the stochastic oscillator into entry and exit rules. It tracks stochastic values relative to upper and lower thresholds, then looks for a crossover against a smoothed stochastic…

CommoditiesTechnical indicatorsMomentumBacktesting
MQL5 code base

This document outlines an expert advisor intended for XAUUSD on a 15-minute chart. It combines RSI entry filtering with recovery entries spaced according to ATR, plus market-structure checks based on lower lows, lower highs, and support conditions. Position…

CommoditiesTechnical indicatorsVolatilityRisk management
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
BigQuant

This weekly market commentary reviews Chinese equity index moves and sector themes for August 8–14, 2022. It highlights Chiplet-related stocks and financial firms, linking the former to semiconductor packaging developments and the latter to expectations…

EquitiesChina marketsEvent-drivenCommodities
MQL5 code base

This dashboard description explains how Pearson correlations across symbols and timeframes can support trading decisions. A color-coded matrix is intended to show positive and negative relationships, with selectable daily and intraday views. The examples…

StatisticsRisk managementForexCommodities
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