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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
Quantopian lectures
45 documents
Binance API docs
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

22,592 documents

Qlib

This configuration defines a Qlib workflow for training a TabNet model on Alpha158 features for CSI 300 stocks, using Chinese market data and the CSI 300 index as benchmark. It sets a historical data window, separates fitting, validation, and test periods,…

EquitiesChina marketsMachine learningBacktesting
SuperMind

This note outlines a Chinese equity screen that combines a minimum listing age, an amplitude condition, and return on equity above a threshold across five consecutive years. It explains ROE as a measure of profitability and capital use, and includes an…

EquitiesChina marketsFactor investing
SuperMind

This note describes a Chinese equity screen for companies in the metaverse theme, with a minimum floating market capitalization and price and valuation limits. Its final version adds a price-to-earnings threshold to the theme, capitalization, and low…

EquitiesChina marketsFactor investing
SuperMind

The document proposes screening Chinese stocks for a turnover rate between 3% and 12%, a ten-day gain above zero and below 35%, and a listing age greater than one year. It says to run the screen before 10 a.m. The stated rationale is to combine trading…

EquitiesMomentumChina marketsTechnical indicators
SuperMind

The document describes a short-term Chinese stock screen combining price range, recent trading activity, current volume, and a positive opening gap. Its stated criteria are amplitude above one, previous-day actual turnover between 3% and 28%, current volume…

EquitiesTechnical indicatorsChina marketsMomentum
SuperMind

The post proposes a stock screen combining a daily high-low range threshold, rising price lows, and return on equity above 15% for five consecutive years. Its rationale is to pair a technical sign of improving price support with a record of strong…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This equity screen combines a daily turnover range of 3% to 12%, year-over-year net profit growth greater than 20% and no more than 100%, and a candlestick pattern described as a morning star. The post presents formula and Python examples for applying these…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This stock screen combines membership in the metaverse industry with a positive return condition and profit growth during 2021. Its formula examples express the return filter as the latest close exceeding the prior close, and compare net profit with its…

EquitiesChina marketsMomentum
SuperMind

This post describes an A-share stock screen combining three conditions: a measure of the day’s position increase above a threshold, three consecutive sessions with falling closing prices, and a dividend ratio above a threshold for a specified past year. It…

EquitiesChina marketsMomentumFactor investing
SuperMind

This Chinese equity screening example selects stocks whose daily high-low range exceeds 1% of the previous close, requires at least two prior limit-up events over a 500-day lookback, and ranks qualifying names by the current day’s opening-auction amount,…

EquitiesTechnical indicatorsBreakoutChina markets
SuperMind

This Chinese stock-screening example ranks companies by capital-flow strength and combines that ranking with a historical dividend payout filter and revenue growth between 2018 and 2021. The initial criteria use a payout ratio above 25% and revenue in 2021…

EquitiesFactor investingChina marketsBacktesting
SuperMind

This proposed Chinese equity screen combines daily amplitude above 1 with a scaled activity measure: prior-day turnover multiplied by the ratio of current opening-auction volume to prior-day volume, constrained to a stated range of 0.5 to 2. The original…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This screening idea combines daily amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and prior-day turnover above 8%. The author interprets the range condition as a way to find volatile stocks, the shrinking negative histogram as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a Chinese equity screen combining daily amplitude above 1, volume above 10,000 lots, a higher open than the prior close, and the sign of the product of daily return and net large-order volume. A positive product is presented as a…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock screen combines a turnover-rate range of 3% to 12% with a reversal condition and a pattern labeled a Morning Star. The accompanying indicator logic adds a large intraday range relative to the previous close, declining short-, medium-, and…

EquitiesTechnical indicatorsMean reversionStatistics
SuperMind

This stock-selection approach combines three conditions: daily price amplitude above 1, prior-day trading value above 60 million, and a high that is the highest across two days. The accompanying explanation treats range as a sign of activity, turnover value…

EquitiesTechnical indicatorsMomentum
SuperMind

The document outlines a Chinese equity screening idea that combines a price-range threshold, rising recent lows, and a recent sequence of limit-up sessions. It presents these conditions as a way to find stocks showing both an improving price base and strong…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening proposal looks for stocks with a daily range above 1%, a positive but limited 10-day gain, and a current session low below the prior session’s low. The post interprets the range and return filters as signs of recent strength, while the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese A-share screening idea combines a large daily trading range, at least one sharp daily gain within the recent 25-session window, a robotics-related classification, and a circulating market value below 10 billion yuan. The post presents these…

China marketsEquitiesMomentumVolatility
SuperMind

This Chinese stock-screening post combines three filters: rank stocks by a measure of capital inflow, require weekly MACD to be above its zero line, and keep stocks whose ten-day gain is positive but below 35%. The author frames the filters as a way to find…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screen selects stocks with daily amplitude above 1, turnover between 2% and 9%, and displayed first-level bid volume greater than first-level ask volume. The article frames amplitude and turnover as activity and liquidity measures, with…

China marketsEquitiesMarket microstructure
ProRealCode

This indicator plots a conventional RSI of closing prices alongside an RSI calculated from a multi-vote On-Balance Volume series. The OBV component assigns directional votes based on changes in the high, close, and low, averages those votes, weights them by…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screening method combines daily amplitude above 1, a weekly crossover of the five-period moving average above the ten-period average, and a positive change in the KDJ K value. The article presents the conditions as a way to identify…

China marketsEquitiesMomentumTechnical indicators