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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

SuperMind

This document presents an A-share stock screen based on a turnover ratio between stated bounds, a newly formed KDJ bullish cross, and a ranking by individual-stock heat. It interprets these filters as proxies for liquidity, price momentum, and investor…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document outlines a technical stock screen combining three conditions: price amplitude above a threshold, a KDJ-related value below a threshold, and a recent bullish KDJ crossover. It characterizes the resulting picks as volatile, short-term…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This research examines whether industry rotation can enhance a CSI 500 benchmark portfolio. It compares two allocation approaches based on industry views: a moderate deviation from benchmark industry weights, and a concentrated approach that removes bearish…

China marketsEquitiesFactor investingPortfolio construction
SuperMind

The document proposes screening Chinese stocks for daily amplitude above 1%, an opening price near the ten-day moving average, and a weekly five-period moving average crossing above the ten-period average. It interprets larger amplitude as evidence of…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a Chinese stock screen that selects shares with turnover between 3% and 12% and a positive ten-day gain below 35%, then ranks qualifying names by circulating market capitalization divided by total market capitalization. It presents the…

EquitiesChina marketsMomentumFactor investing
SuperMind

This stock-screening idea combines a relative strength index below a stated ceiling, a positive daily price move, and a main-board listing requirement with buying activity from large and extra-large orders during the auction. The stated rationale is to…

EquitiesTechnical indicatorsSentimentMarket microstructure
BigQuant

This report evaluates a China ChiNext equity index that selects stocks using profitability, accounting strength, investment discipline, default risk, and low volatility. It argues that the index offers a more fundamental and lower-volatility alternative to…

EquitiesFactor investingVolatilityChina markets
BigQuant

This study compares two ways to build multifactor equity portfolios. Integration ranks securities by a combined score and selects those with strong exposure across the target factors. Mixing first builds separate single-factor portfolios, then allocates…

EquitiesFactor investingPortfolio constructionBacktesting
SuperMind

This screening idea looks for metaverse-related stocks with a circulating share count at or below 5.5 billion and a best-bid queue larger than the best-ask queue. The proposed interpretation is that the larger bid quantity may indicate near-term buying…

EquitiesMarket microstructureSentiment
SuperMind

This stock screen targets companies in the metaverse industry when the KDJ indicator has just produced a bullish crossover and the reported holdings of the top ten shareholders have increased over five days. It combines a price-based signal with a measure…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock selection rule screens for turnover between 3% and 12%, an opening price within 5% of the ten-day simple moving average, and circulating market capitalization above 10 billion yuan. The document frames turnover as a measure of trading activity,…

EquitiesChina marketsTechnical indicatorsStatistics
SuperMind

The document describes a short-term Chinese equity screen combining three conditions: daily price amplitude above one, circulating market capitalization above 10 billion yuan, and a prior session described as a third consecutive limit-up. Its stated…

EquitiesChina marketsMomentumVolatility
SuperMind

This proposed Chinese equity screen looks for stocks in a metaverse concept group with prior-day actual turnover between 3% and 28%, alongside positive net buying attributed to major participants during the auction. The post frames the turnover range as a…

China marketsEquitiesMarket microstructureExecution
SuperMind

This proposed Chinese equity screen selects stocks in a metaverse concept group when the closing price is above its five-day moving average and a measure of large-investor net flow is positive. The post presents equivalent conditions in a charting platform…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document describes a Chinese stock screen that requires amplitude above 1, a positive ten-day return below 35%, and the previous day’s price above its 250-day moving average. The rationale is to combine notable price movement, a moderate recent gain,…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This document presents a stock screen combining amplitude above 1, a K-line value below 20, and a condition described as the start of a major upward move. It characterizes the low K-line value as an oversold signal and the final condition as evidence that an…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a short-term screen for main-board Chinese stocks that are not designated special-treatment shares. Before 10 a.m., it selects stocks with turnover between 3% and 12%, a daily gain above 1%, and a pattern described as a five-step…

EquitiesChina marketsBreakoutMomentum
SuperMind

The document describes a Chinese equity selection rule combining three conditions: daily price amplitude above a threshold, the stock price above its five-day moving average, and at least two limit-up events within a rolling 500-day window. The proposed…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note describes a stock screen combining metaverse-sector membership, a positive return condition, and a measure intended to identify stocks with high main-investor control on the prior day. It gives an indicator formula based on a money-flow-like series…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening idea selects stocks in a metaverse industry category when the latest daily return is positive and a KDJ reading is below 20. The post presents this low KDJ threshold as an oversold condition that may identify stocks for further observation,…

EquitiesTechnical indicatorsMean reversionChina markets
SuperMind

This stock screen selects shares with a 14-period RSI below 65, turnover between 3% and 12%, and a positive 10-day price gain below 35%. The stated rationale combines a moderate momentum filter with trading activity, aiming to find liquid stocks that have…

EquitiesTechnical indicatorsMomentum
SuperMind

This equity screen selects companies associated with the metaverse theme, a positive institutional-flow signal, and a closing price above its 250-day moving average. The long-term average is used as a trend filter, while the flow condition is intended to…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This stock selection idea combines three technical conditions: a 14-period RSI below 65, three consecutive sessions with falling candles, and a newly formed bullish KDJ crossover. The intended rationale is to find shares that have recently weakened but may…

EquitiesTechnical indicatorsMomentumBacktesting
BigQuant

This forum post asks how to understand two approaches to adapting factors to market style. For a W-style split, the author proposes dividing a factor using a reference variable such as trading amount and treating the difference between the resulting groups…

Factor investingStatisticsEquities