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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
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

Robot Wealth

The document introduces a webinar about examining a simple seasonality effect with Excel. Its central research lesson is that an upward-sloping equity curve alone may not tell the whole story; researchers should investigate the market behavior behind the…

StatisticsBacktestingCommodities
Robot Wealth

The article explains how to estimate the volatility risk premium (VRP) by comparing option implied volatility with volatility that is later realised. Using ORATS data, it describes a practical alignment issue: implied volatility looks forward across calendar…

OptionsVolatilityCommoditiesStatistics
Robot Wealth

The document describes using the Fréchet distance to compare a price series with a predefined shape, such as a triangle or cup. Pattern arrays encode the desired shape, while parameters control the number of price bars and the pattern’s vertical scale; a…

Technical indicatorsBacktestingCommoditiesFutures
Systematic trading blog (Rob Carver)

The document explains why “CTA” can refer to several overlapping ideas: a US regulatory category, an adviser operating managed accounts, a manager of futures strategies, or a modern investment fund. It contrasts traditional managed accounts, where clients…

FuturesCommoditiesTrend followingCarry
QuantStart

This conference trip report summarizes a talk about seeking trading signals in alternative data. Examples include satellite and drone imagery, purchase receipts, social media, industrial sensor data, agriculture, energy supply and demand, weather, and…

Machine learningSentimentCommoditiesEvent-driven
QuantStart

The document explains why futures backtests need a method for joining prices from contracts with different expiration dates. Contango and backwardation can create price gaps at the splice, so the article compares three approaches: additive Panama…

FuturesCommoditiesBacktestingExecution
QuantStart

The article introduces deep learning, explains its layered approach to learning data representations, and outlines why it may help reduce hand-built feature engineering. It discusses possible quantitative finance applications, including time-series analysis,…

Machine learningEquitiesCommoditiesStatistics
QuantStart

This article describes how to simulate statically allocated, periodically rebalanced portfolios with QSTrader. It uses an All Weather style allocation across US equities, long and intermediate government bonds, gold, and commodities as an example, and…

BacktestingPortfolio constructionMulti-assetEquities
MQL5 articles

The article describes an indicator that maps prime-number density around converted market price levels to colored chart zones. It explains scaling fractional quotes into integers, choosing a search radius, precomputing primes with the Sieve of Eratosthenes,…

Technical indicatorsStatisticsBacktestingForex
MQL5 articles

The article describes a MetaTrader 5 expert advisor designed to manage trades across multiple currency pairs and two metals from one chart. Its entry logic combines a seven-period ADX directional movement signal with Parabolic SAR confirmation. The ADX rules…

ForexCommoditiesTechnical indicatorsPosition sizing
MQL5 articles

The article evaluates whether the CBOE Euro and Gold volatility indexes (EVZ and GVZ) add forecasting value for XAUEUR. It describes merging the indexes with daily XAUEUR OHLC data, imputing missing values with column means, and examining correlations,…

ForexCommoditiesVolatilityMachine learning
MQL5 articles

The article describes a cross-market trading framework using silver quoted in US dollars and euros alongside EURUSD. It reasons that currency movements should affect the two silver quotations differently, then looks for aligned price behavior across all…

CommoditiesForexStatisticsBacktesting
MQL5 articles

The article proposes linking weather in agricultural regions to related currency pairs: Australian conditions with AUDUSD, New Zealand conditions with NZDUSD, and Canadian prairie conditions with USDCAD. It describes collecting historical weather and quote…

ForexStatisticsMachine learningBacktesting
MQL5 articles

This article describes a configurable short-term breakout Expert Advisor built around swing structure, volatility expansion, and optional time filters. A bullish or bearish setup is identified from a three-bar swing point. Rather than entering immediately,…

CommoditiesBreakoutVolatilityRisk management
MQL5 articles

The article builds a gold volatility monitor by comparing near-the-money implied volatility from GLD options with recently realized volatility, aligned to a 30-day horizon. It describes implied volatility as the movement embedded in option prices and…

CommoditiesOptionsVolatilityRisk management
MQL5 articles

The article tests whether gold and palladium prices help forecast USDCAD. It explains the economic rationale for comparing the markets, then describes gathering price bars from MetaTrader, aligning observations by shared timestamps, and labeling a future…

ForexCommoditiesMachine learningStatistics
MQL5 articles

Momentum Pinball uses a daily LBR/RSI reading to set the likely direction for the next session, then uses the first hourly bar to define an entry and initial stop. A reading below 30 signals a potential buy day; a reading above 70 signals a potential sell…

ForexCommoditiesMomentumTechnical indicators
MQL5 articles

This installment describes changes to a multi-currency MetaTrader 5 expert advisor so it can recognize broker-specific prefixes or suffixes on forex and metal symbols, and limit trading to selected sessions. It outlines a fixed universe of 30 forex and metal…

ForexCommoditiesExecutionBacktesting
MQL5 articles

This installment of a self-adapting algorithm series reviews weaknesses of a candle-count strategy, including unstable candle sizes, time-based entries during quiet markets, drawdowns, and instrument-specific historical tuning. The author proposes rebuilding…

StatisticsTrend followingMean reversionForex
MQL5 articles

The article explains an automated grid approach for MOEX futures that places buy and sell limit orders at intervals across a chosen price range. As price moves through levels, the Expert Advisor updates pending orders and pairs executed buys and sells. The…

FuturesGrid tradingRisk managementExecution
MQL5 articles

The article turns a tCISD reversal concept into a rules-based MQL5 trading process. It anchors quarterly cycles to New York time, accounting for daylight saving, then compares quarter highs and lows in a traded instrument and a correlated symbol. A…

ForexCommoditiesTechnical indicatorsRisk management
MQL5 articles

The article describes an end-to-end workflow for training a model to screen EMA crossover trades and deploying it in an MQL5 Expert Advisor. It fetches XAUUSD hourly history, derives nine price and indicator features, simulates crossover trades, and labels…

Machine learningTechnical indicatorsBacktestingRisk management
MQL5 articles

The article describes a MetaTrader 5 Expert Advisor designed to trade a selectable set of currency and metal symbols from one chart. Its entry signal combines Bollinger Bands calculated on Keltner Channel values: the Keltner Channel uses an exponential…

ForexCommoditiesTechnical indicatorsBacktesting