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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
WonderTrader
14 documents
Alphalens
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

79,386 documents

Lumibot

This example organizes daily decisions across leveraged sector and broad-market ETFs using separate AI agents for technology, financials, healthcare, energy, and consumer-related groups. Each sector pod is instructed to consult recent news and macroeconomic…

EquitiesPortfolio constructionRisk managementMachine learning
BigQuant

The document explains how to generate moving-average features in BigQuant when only selected lookback windows are wanted. It contrasts a range-based list comprehension, which the platform accepts, with a list of chosen values, which it says is unsupported in…

Technical indicatorsStatistics
ProRealCode

This stock-selection idea combines three short-term conditions: daily amplitude above a threshold, at least one limit-up event during the past month, and a positive ten-day return below an upper bound. The article’s proposed refinement adds a PEG ceiling,…

EquitiesMomentumTechnical indicatorsFactor investing
vn.py community

Peek+ is a configurable indicator that looks back over a window to find when the most recent highest high or lowest low occurred. It turns those offsets into separate streak measures associated with persistent upward and downward extreme-setting. A signal…

Technical indicatorsMean reversionBreakout
BigQuant

This guide outlines a workflow for preparing a factor research report for a quantitative trading competition. It recommends generating factor data, then using BigQuant’s FactorLens v4 to calculate single-factor results. The platform returns ranking metrics…

Factor investingStatisticsBacktesting
BigQuant

This text introduces market efficiency as a contested idea whose meaning shapes how investors approach investing and valuation. It says the chapter offers a basic definition and considers what efficient markets would imply for investors. It also points…

StatisticsBacktestingEquities
MQL5 code base

The Fractal Dimension Index is presented as a way to characterize market behavior and volatility. The document identifies 1.5 as a reference value associated with random price action and suggests that departures from this level may indicate more structured…

Technical indicatorsVolatilityTrend following
SuperMind

This Chinese stock-selection post describes a screen combining three conditions: an amplitude measure above a threshold, a 9:25 price gain below a ceiling, and a rising DEA line from MACD. The stated rationale is to combine a measure of price movement with a…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

This indicator studies whether price tends to rise or fall on the bar after a run of consecutive candles with the same direction. It measures runs from one to twelve candles and simulates a long position entered at the close of the run and exited one candle…

Technical indicatorsStatisticsBacktesting
SuperMind

The article proposes a Chinese equity screen restricted to the metaverse industry. It looks for stocks opening near or above their ten-day moving average, then ranks candidates using a measure combining the session’s price change with large-order activity.…

EquitiesChina marketsTechnical indicatorsMomentum
Amberdata research

This market recap describes a week of softer realized and implied volatility in Bitcoin and Ether options as spot prices drifted within recent ranges without a major macro catalyst. It notes that Bitcoin’s term structure shifted lower, especially at the…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

The indicator plots two Standard Deviation lines calculated with separate period and moving-average-method settings. It places a directional pointer when one line crosses the other: an upward cross by the first line produces a blue pointer, while a downward…

Technical indicatorsVolatilityStatistics
MQL5 code base

This Expert Advisor uses three moving averages to generate directional entries. A long setup requires the fast average to cross above the middle average while both faster averages remain above the slow average across the current and prior bar comparisons.…

Technical indicatorsTrend followingPosition sizingRisk management
vn.py community

This forum response offers a troubleshooting sequence for multiple VeighNa strategies that appear to stop responding. It recommends checking whether logs continue, adding output in tick or bar callbacks to confirm incoming data, verifying that a strategy is…

ExecutionMarket microstructure
MQL5 code base

This document describes an MT5 chart indicator that displays broker-provided information about the selected symbol and market. It covers live prices, spread, market status, contract size, lot limits, tick value, margin details, swap values, trading mode, and…

ExecutionMarket microstructureRisk management
MQL5 code base

XMA is described as a moving average whose output is filtered by a minimum price step. It first calculates a moving average using a selected period, calculation method, and applied price. The displayed value updates only when the difference from the prior…

Technical indicatorsTrend following
MQL5 code base

The Choppiness Index is presented as an oscillator for distinguishing trending conditions, flat markets, and unstable consolidation. Its calculation compares the sum of one-period average true ranges over a lookback window with the high-to-low range across…

Technical indicatorsVolatilityTrend following
Lumibot

This document explains a strategy lifecycle callback invoked when a broker reports a partial order fill. The callback receives the updated position, order, fill price, newly observed fill quantity, and options multiplier. It can support quantity-sensitive…

ExecutionRisk management
ProRealCode

This indicator estimates buying and selling pressure from candle bodies and wicks. It assigns values to bullish, bearish, and neutral candle configurations, then smooths the directional series with a Hull-style weighted average. The resulting upper and lower…

Technical indicatorsTrend followingVolatilityStatistics
MQL5 code base

This document describes an automated forex expert advisor that looks for bullish and bearish Butterfly harmonic patterns across selected chart timeframes. It says the system identifies patterns using pivot points and offers configurable risk and session…

ForexTechnical indicatorsRisk management
BigQuant

This short forum post asks whether a linear equity strategy can compare a stock’s ranking when purchased with its current ranking and sell after sufficient deterioration. The example uses a small-capitalization strategy holding ten stocks: a stock bought at…

EquitiesFactor investingExecutionBacktesting
SuperMind

This research summary argues that banks should be modeled separately in equity selection because their asset-heavy business structure and distinctive price behavior can make factors selected across the full market less effective within the sector. It…

EquitiesFactor investingPortfolio constructionRisk management
SuperMind

This document describes a Chinese equity screen using three conditions: daily price range above a threshold, share price below a ceiling, and a 2019 dividend ratio above a threshold. It frames the screen as a mix of technical behavior and dividend…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document describes an A-share screen for stocks with turnover between 3% and 12%, seven consecutive declining sessions, and a volume ratio between 1.5 and 6. The volume ratio is calculated against a five-session average. The article presents the pattern…

EquitiesChina marketsMean reversionTechnical indicators