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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

1,414 documents

FMZ forum

The document explains why futures backtests need a method for joining contracts with different expiries and prices. It compares three approaches: Panama adjustment, proportional adjustment, and a rollover series that blends adjacent contracts over several…

FuturesCommoditiesBacktestingExecution
BigQuant

This report surveys gold’s supply and demand, major trading venues, and common investment instruments. It notes that investment demand and central bank purchases are especially relevant to prices, and describes the roles of London spot trading, U.S. futures,…

CommoditiesFuturesSentimentBacktesting
Amberdata research

This primer explains how blockchain tokens can represent claims on physical or financial assets, from commodities and property to treasuries and intellectual property. It outlines the infrastructure involved, including smart contracts, legal and compliance…

DeFiOn-chain dataCommoditiesFixed income
MQL5 code base

The document explains the Commodity Channel Index (CCI) and presents a variant that filters prices before calculating the indicator. Standard CCI compares typical price with its simple moving average, scales the difference by mean absolute deviation, and…

Technical indicatorsCommodities
BigQuant

The article presents a scenario analysis of how sustained high crude prices could affect energy-importing and energy-exporting economies. It argues that higher energy costs may shift income toward resource exporters, raise manufacturing expenses in importing…

CommoditiesVolatilityMulti-asset
TqSdk

This example describes a daily gold futures strategy using a 10-bar Aroon calculation. It opens a fixed-size long position when Aroon Up crosses above Aroon Down or when Aroon Up is above 75 while Aroon Down is below 25. The short rules reverse those…

FuturesCommoditiesTrend followingTechnical indicators
quant-trading

The strategy models the relationship between Brent crude and the Norwegian krone using a rolling ordinary least squares regression. It fits the most recent 50 observations and accepts the model when its R-squared is above 0.7. The residual standard deviation…

CommoditiesForexMean reversionStatistics
BigQuant

This short assignment outlines a basic path from investment experience to systematic strategy development. The author mentions buy-and-hold contributions to gold and Nasdaq exposure, stock subscriptions, and stock selection informed by company fundamentals,…

EquitiesCommoditiesTechnical indicatorsBacktesting
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
Kraken Learn

The document compares fiat-backed, commodity-backed, and algorithmic stablecoins. Fiat and commodity models rely on reserves intended to support redemption or represent a unit of an asset, while algorithmic designs adjust token supply in an attempt to hold a…

CryptoDeFiRisk managementArbitrage
MQL5 code base

This document describes an open-source MetaTrader 5 script that records a snapshot of a broker’s current symbol and account settings, with XAUUSD and GOLD as the main examples. Its report includes bid and ask, spread, price precision, tick and contract…

BacktestingExecutionMarket microstructureCommodities
MQL5 code base

The document describes an Expert Advisor for XAUUSD that combines a price dynamics filter, an online-learning neural network, and volatility-based risk management. Its market-state component derives velocity from price changes and an entropy-like measure…

CommoditiesMachine learningVolatilityRisk management
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
Amberdata research

The article explains how blockchain tokens can represent claims on assets such as property, art, intellectual property, commodities, securities, and infrastructure. Fractional ownership and secondary trading may broaden investor access and improve liquidity,…

CryptoDeFiCommoditiesFixed income
MQL5 code base

DayCCI is a Commodity Channel Index indicator whose calculation period adjusts automatically to the number of bars in the current day. It is presented for use across chart timeframes from one-minute to daily. The document recommends using the indicator to…

Technical indicatorsCommodities
MQL5 code base

This note describes a proposed way to anticipate MACD crossovers by measuring momentum in the MACD histogram. It identifies the indicator as a 10-period momentum of the histogram, smoothed over 3 periods, and attributes the general idea to Tom Aspray while…

Technical indicatorsMomentumBacktestingCommodities
BigQuant

This review summarizes historical evidence on how assets and active strategies performed during periods of high and rising inflation in the United States, United Kingdom, and Japan. It defines inflation episodes using accelerating year-over-year inflation…

Multi-assetCommoditiesTrend followingMomentum
SuperMind

This review summarizes historical evidence on how assets and active strategies performed during periods of high and rising inflation in the United States, United Kingdom, and Japan. It defines inflation episodes using accelerating year-over-year inflation…

Multi-assetCommoditiesTrend followingMomentum
NautilusTrader

This reference explains how an exchange-defined futures spread is represented as a single tradable instrument, including calendar and inter-commodity spreads. The venue supplies the strategy symbol, tick size, expiry, and other contract details. The…

FuturesCommoditiesDerivatives pricingMarket microstructure
MQL5 code base

The document explains how to prepare Commitments of Traders report files for an indicator. It directs users to choose either futures-only or combined futures-and-options text reports, download several annual files, rename each file by year, and place them in…

FuturesCommoditiesSentiment
MQL5 code base

The indicator finds recent swing highs and lows with a ZigZag calculation, then plots Fibonacci retracements at 50%, 61.8% and 78.6%. It highlights the area between the latter two as a potential pullback zone. The proposed use is to look for a retracement…

Technical indicatorsTrend followingForexCommodities
quant-trading

This notebook builds a multi-year forecast of Malaysian crop production and prices. It uses a quadratic optimization problem to allocate production across crops, subject to a total land constraint and bounds linked to prior-year planted area and crop…

CommoditiesPortfolio constructionStatisticsBacktesting
MQL5 code base

This entry describes an updated version of a Trendsignal indicator for charting platforms. Its stated change is to draw lines in relation to signals, allowing a trader to inspect the potential pip distance on the chart. The author says the remaining behavior…

ForexCommoditiesTechnical indicatorsMomentum
Cryptohopper blog

The article explains how tokenization represents claims or economic rights linked to tangible and intangible assets as blockchain-based tokens. It describes fractional ownership and the use of smart contracts to automate functions such as settlement and…

CryptoMulti-assetFixed incomeCommodities