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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

SuperMind

This Chinese equity screen selects companies outside the STAR Market with market capitalization below 10 billion yuan, no reported losses, and a 14-period RSI below 65. The article includes a sample Python implementation using historical prices, market…

China marketsEquitiesTechnical indicatorsStatistics
BigQuant

The document explains why a stock filter set to the CSI 500 can return fewer securities than the index membership count. In the cited example, the filter is applied to a particular date, and some constituents were suspended, leaving their five-day return…

EquitiesChina marketsStatistics
BigQuant

This forum report describes a suspected data-alignment problem in a Chinese equity research workflow. The author adds an opening-price feature and a forward-shifted version to a strategy, then finds that the shifted values appear incorrect on particular…

EquitiesStatisticsBacktesting
ProRealCode

This indicator estimates expected intraday volume by comparing a bar with volume recorded at the same time on prior trading days. It calculates a mean across a configurable number of observations and plots that estimate alongside upper and lower bands one…

Technical indicatorsStatisticsMarket microstructure
SuperMind

The document presents an equity screen combining daily amplitude above 1, a rounded price shape, and previous-day turnover above 8%. It says the amplitude condition is intended to find shares with meaningful trading activity but limited price fluctuation,…

EquitiesTechnical indicatorsStatistics
BigQuant

The document summarizes a study that applies multiple machine-learning algorithms to a broad set of return predictors in Chinese equities. It highlights differences from earlier United States research: liquidity ranks as a particularly important predictor in…

EquitiesMachine learningChina marketsStatistics
MQL5 code base

This indicator searches price history for clusters of candles occupying a similar price range and marks qualifying levels as support or resistance. It first excludes bars it considers unusually large, then looks back for other bars in the same zone. When…

Technical indicatorsStatistics
BigQuant

This collection of answers addresses common quantitative investing problems, including fixed-holding-period backtest sensitivity, judging factor data, evaluating strategies that fail live, factor development, market timing, and combining signals across…

BacktestingStatisticsFactor investingRisk management
BigQuant

The report compares methods for estimating stock-return covariance matrices for Chinese equities. It explains that when there are many stocks but relatively few return observations, sample covariance estimates can be noisy and numerically unstable for…

EquitiesRisk managementPortfolio constructionStatistics
ProRealCode

The Climatic Volume X indicator flags a candlestick when its volume exceeds a chosen multiple of the average volume over a lookback window. For each flagged bar, it can display the relative-volume reading and draw horizontal support and resistance guides…

Technical indicatorsBreakoutStatistics
BigQuant

This report reviews the Shanghai Composite as a broad measure of companies listed in Shanghai and discusses changes to its index rules scheduled for July 2020. The changes add STAR Market listings, delay new stock inclusion, and remove specially risk-warned…

EquitiesChina marketsStatisticsRisk management
BigQuant

The document combines two research summaries. The first explains how target-date fund allocations can account for retirement spending as a liability alongside financial assets and human capital. A liability-aware optimization framework treats…

Portfolio constructionFixed incomeCommoditiesEquities
MQL5 code base

The document presents a Force Index indicator smoothed by filtering higher-frequency components in its spectrum. It describes a general technique that can also be applied to other indicator series, with the stated advantage of practically zero latency. The…

Technical indicatorsStatistics
BigQuant

This compilation presents three quantitative finance topics. First, it reports that news frequency and tone are associated with stock return jump likelihood and jump size characteristics. News frequency appears especially important for jump probability, and…

EquitiesStatisticsMachine learningPortfolio construction
BigQuant

The report asks whether property-level real estate returns can be explained by style characteristics in addition to property type and location. Using quarterly data on more than 25,000 UK retail, office, and industrial properties from 2002 to 2020, it…

Multi-assetFactor investingMomentumStatistics
BigQuant

The article examines whether momentum and long-term reversal reflect changing exposures to priced risks rather than standalone return patterns. It tests whether past returns predict future realized betas, then uses an Instrumented Principal Component…

EquitiesMomentumFactor investingStatistics
SuperMind

This stock selection screen combines a turnover range of 3% to 12%, a reversal pattern described as a bullish engulfing or recovery move, and a 10-day return above zero but below 35%. It is presented as a way to find Chinese equities with recent activity and…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

The document briefly describes an oscillator formed from an averaged difference between a FATL digital filter and the closing price. It identifies the indicator as a technical-analysis tool and notes that its implementation relies on smoothing-algorithm…

Technical indicatorsStatistics
BigQuant

This brief Q&A explains ways to label stock price-limit events in a strategy workflow. For a one-price limit-up session, it suggests identifying a bar where the next period’s high and low are equal, then using that condition to assign a label. This is a…

EquitiesChina marketsStatistics
BigQuant

This brief BigQuant forum exchange addresses how to construct a custom factor when it is not available as a precomputed field. The question proposes an expression combining single-quarter revenue less single-quarter cost, divided by average total assets over…

Factor investingEquitiesStatistics
MQL5 code base

The document describes Zero Lag as a modified exponential moving average. Its recurrence adds a gain-scaled difference between the current close and the previous Zero Lag value to the usual smoothed calculation. The gain is selected within a user-defined…

Technical indicatorsStatistics
SuperMind

This Chinese-market stock screen combines a beverage and alcohol industry filter with a turnover range of 3% to 12% and a holder-concentration condition described as below 20%. The article presents the criteria as a way to narrow candidates, then gives…

EquitiesChina marketsFactor investingStatistics
ProRealCode

This indicator calculates volume-weighted average price from a user-selected calendar date, allowing a chart reader to track the average traded price since a chosen event. The article suggests anchoring it to a recent price gap on a daily chart to inspect…

Technical indicatorsEquitiesStatistics