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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

21,023 documents

ProRealCode

RSIV-1 is presented as a modified Relative Strength Index that responds more quickly to changes in direction. It first measures closing price relative to a linear regression of price, then separates rising and falling changes over a rolling period. The…

Technical indicatorsMomentumStatistics
SuperMind

This document presents a Chinese A-share screening rule combining turnover, daily price change, large-order net flow, and circulating market value. The stated screen requires turnover between 3% and 12%, a negative product of daily change and large-order net…

EquitiesChina marketsMarket microstructureStatistics
ProRealCode

This document presents a ProRealTime adaptation of a Weis Wave Volume indicator. It classifies price movement into rising and falling waves, accumulates volume while each wave continues, and displays the totals as separate colored histograms. The…

Technical indicatorsMarket microstructureStatistics
MQL5 code base

This brief note describes an iTrend indicator variant that uses ADXVMA in its calculation. It highlights ADXVMA’s tendency to remain relatively flat during ranging conditions, which may make the combined indicator less reactive to spurious changes in those…

Technical indicatorsTrend followingStatistics
FMZ forum

The document uses three gambling puzzles to explain probability and conditional reasoning. In the first, two fans each believe their team has a better-than-even chance of winning. The proposed wager can appear profitable to both sides and to the bookmaker,…

Statistics
Stratmill research code

This document describes a backtest reporting framework that computes metrics over a full record and, optionally, across daily, hourly, or monthly partitions. Metric classes can be instantiated with relevant supplied parameters, then receive the record and a…

BacktestingStatisticsRisk management
BigQuant

This research summary compares five classifiers for predicting stock returns from historical equity factors: multinomial logistic regression, linear support vector machines, random forests, XGBoost, and deep neural networks. It distinguishes the linear…

EquitiesFactor investingMachine learningStatistics
MQL5 code base

The Sampler indicator is described as a way to derive training targets from future price changes. One output is an analog value normalized between negative and positive one, representing the balance of upward and downward price movement over a specified…

Machine learningTechnical indicatorsStatistics
BigQuant

The document summarizes an analysis of Chinese A-share investor research visits, using public company announcements to identify when institutions visit firms. These events are usually targeted visits involving five or fewer institutions, and announcements…

EquitiesEvent-drivenStatisticsChina markets
BigQuant

This note diagnoses a backtest error in BigQuant position-condition functions. Both the opening and closing condition functions attempt to filter a DataFrame using a column named “fantanbili.” The author points out that the prediction output supplied by an…

BacktestingStatistics
ProRealCode

The document describes a Dynamic Momentum Index (DMI) that adjusts its calculation period as volatility changes. It estimates volatility from price variability, smooths that estimate, and scales a base period accordingly, subject to configurable lower and…

Technical indicatorsMomentumVolatilityStatistics
BigQuant

The document outlines a systematic stock-selection model built from valuation, profitability, growth, operating-efficiency, and technical factors. It describes a scoring approach: choose candidate factors, test their predictive usefulness, remove redundant…

EquitiesFactor investingStatisticsBacktesting
BigQuant

This summary examines whether frequent constituent changes weaken returns for a portfolio tracking the CSI 300. It reports a Wilcoxon test finding short-term price effects around index adjustments: additions tended to rise and removals to fall, with the…

EquitiesChina marketsPortfolio constructionBacktesting
ProRealCode

The indicator divides the price range over a selected lookback window into horizontal zones and estimates bullish and bearish volume in each zone. It assigns volume to a zone using each bar’s closing price, then classifies the bar as bullish when its close…

Technical indicatorsMarket microstructureStatistics
MQL5 code base

This document describes a chart utility for inspecting how many bars the Bars function reports for a selected symbol across timeframes, and whether CopyRates can retrieve data for a chosen bar number. It defaults to checking the oldest bar and lets the user…

StatisticsExecution
MQL5 code base

TriggerLines is presented as a trend indicator with two moving-average-style lines whose colors show direction: green for an upward trend and red for a downward trend. Its settings are a calculation period, a smoothing period, and the applied price used in…

Technical indicatorsTrend followingStatistics
FMZ forum

This article describes a data-engineering workflow for turning SEC XBRL companyfacts data into an auditable long-form table. Because a tag can have observations across units, periods, filings, accessions, and frames, the author advises preserving each…

EquitiesStatisticsBacktesting
BigQuant

The document summarizes a study of a composite fundamental factor based on the Piotroski framework and its stock-selection value in the Chinese A-share market. It reports that stocks in the highest factor decile outperformed those in the lowest by an average…

EquitiesChina marketsFactor investingStatistics
SuperMind

The document summarizes a study of a composite fundamental factor based on the Piotroski framework and its stock-selection value in the Chinese A-share market. It reports that stocks in the highest factor decile outperformed those in the lowest by an average…

EquitiesChina marketsFactor investingStatistics
BigQuant

The document presents asset allocation as a combination of choosing assets and timing the market, with portfolio risk and expected return as the objectives. It explains that a hidden Markov model infers unobservable market states from observable data, then…

Machine learningStatisticsPortfolio constructionChina markets
SuperMind

This document describes a Chinese equity screen combining three conditions: an amplitude above 1, institutional participation above 30% over a 15-day period, and a price change between -5% and 2.6%. The proposed rationale is to find stocks with substantial…

EquitiesChina marketsVolatilityMomentum
SuperMind

This code implements a bivariate mixture of Clayton, Frank, and Gumbel copulas, framed as a dependency model for a mixed-copula pairs trading strategy. It transforms each input series to empirical marginal quantiles, then fits the mixture weights and…

Pairs tradingStatisticsMachine learningBacktesting
MQL5 code base

This indicator note isolates the trend component produced by Holt's double exponential smoothing, rather than displaying the smoothed price estimate commonly shown on a chart. It presents that component as an oscillator that may help identify trend, and…

Technical indicatorsTrend followingStatistics