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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

21,023 documents

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
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
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
SuperMind

This document presents an A-share stock screen using turnover between 3% and 12%, total market capitalization below 10 billion yuan, positive earnings, and tradable market capitalization between 5 billion and 10 billion yuan. The formula also orders…

EquitiesChina marketsFactor investingStatistics
BigQuant

This monthly review evaluates equity factors using information coefficient (IC) relationships with subsequent prices and market- and industry-neutral long-short returns. It reports that growth and turnover factors were relatively consistent over the latest…

EquitiesChina marketsFactor investingStatistics
MQL5 code base

This short note describes a moving-average-style indicator built with a linear regression algorithm. It identifies the indicator as a typical MA variant and says it was first implemented in MQL4, with an earlier Code Base publication date. The document also…

Technical indicatorsStatistics
ProRealCode

The document defines a volume weighted moving average (VWMA) as the sum of each period’s closing price multiplied by its volume, divided by total volume over the same lookback. It recommends comparing the VWMA with a simple moving average (SMA) calculated…

Technical indicatorsEquitiesStatistics
MQL5 code base

The document describes an indicator that uses principal component analysis to choose coefficients for instruments in a pseudo-stationary portfolio intended to return toward zero. It frames each instrument as a dimension in a multivariate dataset and uses PCA…

StatisticsPortfolio constructionMean reversionRisk management
vn.py community

The discussion describes a rolling-window backtest in which parameters are optimized on a sequence of historical months and then applied to the next month. As the test advances, the training window shifts forward by one month, so each new period is evaluated…

BacktestingStatistics
MQL5 code base

The document describes a simple indicator intended to assess autocorrelation in a price series. Positive readings are presented as signs of more directional movement, which might accompany a developing trend or a possible reversal. Negative readings are…

Technical indicatorsStatistics
SuperMind

The document explains how multi-factor models describe asset returns through factor exposures, factor returns, and asset-specific residuals. It presents Barra as a framework for estimating portfolio risk by combining factor covariance with specific risk, and…

EquitiesFactor investingRisk managementPortfolio construction
BigQuant

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

EquitiesFactor investingStatisticsChina markets
SuperMind

This research summary examines whether trading behavior can serve as a proxy for speculative intensity in Chinese A-shares. It studies four measures: idiosyncratic volatility, idiosyncrasy, price delay, and size-adjusted turnover. The proposed intuition is…

EquitiesFactor investingStatisticsChina markets
MQL5 code base

This short description introduces the Fisher Transform, an indicator developed by John Ehlers. It says the indicator tracks current market movement and that its plotted levels may serve as potential turning points. The stated directional reading is simple: a…

Technical indicatorsMomentumStatistics
BigQuant

This overview explains active learning as a way to reduce the cost of building supervised or semi-supervised models when expert labels are scarce. A model repeatedly identifies candidate examples for human review, incorporates the resulting labels through…

Machine learningStatistics
BigQuant

This forum post raises a factor-construction question about accessing older financial statement observations beyond a platform's precomputed factors. The example is operating revenue: the author understands the suffix-zero field to represent the latest…

Factor investingEquitiesStatistics
BigQuant

This Chinese research note examines the common practice of relating price-to-earnings ratios to expected earnings growth, including the assumption that a PEG ratio of one indicates fair value. Its hypothetical comparison shows that companies with PE and…

EquitiesFactor investingStatisticsChina markets
BigQuant

This overview surveys empirical research on pricing stock-index options, focusing on how systematic stochastic volatility and jump risk affect option values and returns. It describes the evolution from Black–Scholes–Merton assumptions, in which the…

OptionsVolatilityDerivatives pricingStatistics
MQL5 code base

DMX is described as an oscillator derived from the positive and negative directional indicator lines used in ADX. It normalizes their difference by their sum, producing a bipolar value, and adds a signal line calculated as a moving average of DMX. The source…

Technical indicatorsStatistics
ProRealCode

The Trading Activity Index gauges whether an instrument is unusually busy or quiet relative to its own recent history. It starts with price multiplied by volume, averages that dollar-volume measure over a short formation window, then applies a logarithm to…

Technical indicatorsMarket microstructureBreakoutMean reversion
SuperMind

This Chinese equity screening example combines a metaverse industry classification with a volume-ratio band and a condition described as rising bottoms. It then adds a market-value ceiling to the proposed final screen. The article also sketches how to…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The document briefly describes a technical indicator that smooths a derivative series and presents the result as a color-coded histogram. Its main educational point is the transformation and visual presentation of the indicator: smoothing is applied to the…

Technical indicatorsStatistics
BigQuant

The document presents a pairs-trading question about two stocks believed to have a long-run cointegrating relationship. It describes fitting a linear relationship between their prices, then standardizing a series associated with that relationship using a…

Pairs tradingMean reversionStatisticsEquities
MQL5 code base

The document describes an RSI variant that uses an Adaptive Moving Average (AMA), attributed to Vitali Apirine. It gives two intended reasons for changing the calculation: filter out insignificant price moves and reduce the flattening of RSI values that can…

Technical indicatorsStatistics