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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

SuperMind

This document explains a trend-regime indicator that applies a one-sided cumulative sum test to price deviations from a Hull moving average. Separate accumulators track persistent positive and negative residuals; a drift allowance suppresses small…

Trend followingStatisticsTechnical indicatorsVolatility
MQL5 code base

The document describes an indicator that combines the Jurik Moving Average (JMA) with a standard-deviation-based display of trend strength. It places colored dots on the moving average when the standard deviation falls within a configurable band, with dot…

Technical indicatorsStatisticsTrend following
BigQuant

The article answers practical questions about machine-learning stock strategies. It says the platform separates training and test periods by time, with the test interval serving as the backtest, and describes a setup without a separate validation set. It…

Machine learningBacktestingStatisticsEquities
MQL5 code base

This indicator applies a selected RSI calculation to prices filtered with an adaptive T3 average. It offers seven RSI variants, including Cuttler’s, Ehlers’ smoothed, Harris’, Rapid RSI, RSX, Slow RSI, and a standard RSI. The T3 calculation can use either…

Technical indicatorsMean reversionStatistics
MQL5 code base

Extent is described as a histogram showing the difference between a selected price and a moving average. Its configuration includes the moving-average period and type, the price used to calculate the average, and the price used for comparison. The listed…

Technical indicatorsStatistics
BigQuant

This monitoring framework tracks valuation measures and fund holdings across major Chinese equity indexes, industry groups, and selected large companies. It covers price-to-earnings, growth-adjusted valuation, price-to-book, dividend yields, and fund…

EquitiesChina marketsStatisticsFactor investing
BigQuant

This research note studies value-based stock selection in Hong Kong equities, using the Hang Seng Composite as its universe. Because Hong Kong main-board companies are not required to publish quarterly reports and may change their fiscal year-end, the…

EquitiesFactor investingStatisticsBacktesting
MQL5 code base

The document presents an experimental moving-average formula built from simple moving averages at three multiples of a base period. It first describes one arrangement of the three averages, then reverses the sign of the middle term. The author says the…

Technical indicatorsStatisticsBacktesting
BigQuant

The discussion asks how to detect whether a value, such as a closing price or trading volume, has risen or fallen continuously over a chosen number of days. It points to a pair of time-series functions: one counts consecutive rises, and a corresponding…

Technical indicatorsStatistics
ProRealCode

This document describes a price envelope built around a smoothed estimate of the underlying trend. It uses an endpoint Nadaraya-Watson estimator with kernel weights to calculate the centerline, then estimates deviations from that line using an exponentially…

Technical indicatorsStatisticsVolatility
SuperMind

This Chinese-language post presents an equity screening idea combining amplitude above 1, a rounded price pattern, market capitalization below 10 billion yuan, and no recent losses. It explains the intended rationale: price movement may offer short-term…

EquitiesTechnical indicatorsStatisticsChina markets
SuperMind

This stock screen selects Chinese A-shares listed in 2021, excludes Beijing-listed shares, and requires turnover to fall between 3% and 12%. The article presents the rule as a basic quantitative selection filter and includes references to implementing it in…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

This Chinese stock-selection rule combines amplitude above one, successively rising bottom levels, and a MACD reading below zero from two sessions earlier. The intended setup uses rising lows as a sign of improving price structure while retaining a lagged…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This report summary examines Chinese public mutual funds around the second quarter of 2018, focusing on actively managed equity funds. It describes falling scale and share counts for active equity products, differences in reported returns across fund types,…

EquitiesChina marketsPortfolio constructionStatistics
BigQuant

This report summary examines Chinese public mutual funds around the second quarter of 2018, focusing on actively managed equity funds. It describes falling scale and share counts for active equity products, differences in reported returns across fund types,…

EquitiesChina marketsPortfolio constructionStatistics
MQL5 code base

The document describes a candlestick fitness rule intended for use in coding high-frequency trading algorithms based on population optimization. It labels a candle unfit when its body does not meet a default proportion of the relevant upper or lower wick…

Technical indicatorsHigh-frequency tradingMachine learningStatistics
BigQuant

The document introduces the Commodity Channel Index (CCI), a technical indicator calculated from high, low, and close prices. It first derives typical price as the average of those three values, then compares typical price with its moving average and scales…

Technical indicatorsStatistics
MQL5 code base

This indicator description explains how to construct synthetic Japanese candlesticks over a period selected in the indicator settings. It recalculates on each bar and applies price-series averaging during intermediate calculations, producing a transformed…

Technical indicatorsStatistics
ProRealCode

The document describes a modified MACD oscillator built from the difference between configurable fast and slow moving averages. It places upper and lower bands around the recent average of that difference, with band width determined by a standard deviation…

Technical indicatorsMomentumStatistics
ProRealCode

This indicator finds ABC price structures across several nested swing scales. It builds a base zigzag, then repeatedly filters its pivots to form higher levels, and searches each level for a three-pivot pattern where BC retraces 61.8% to 78.6% of AB.…

Technical indicatorsTrend followingStatisticsRisk management
MQL5 code base

The document describes a custom MetaTrader 5 Strategy Tester criterion for ranking strategies. It divides the test period into an earlier in-sample segment and a later out-of-sample segment, then calculates return, drawdown, risk-adjusted performance, trade…

BacktestingStatisticsRisk management
FMZ forum

This article presents a checklist for judging whether a quantitative strategy is understandable and whether its reported performance reveals its risks. It recommends examining the strategy’s economic or behavioral rationale, the explanation for position…

Risk managementStatisticsBacktestingExecution
BigQuant

This project outlines a mean-reversion pairs strategy for Chinese futures. It screens candidate contract pairs for cointegration with an Augmented Dickey-Fuller test, estimates a changing hedge ratio with a Kalman filter, and measures spread behavior with…

FuturesChina marketsPairs tradingMean reversion