Skip to content

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 stock selection rule screens Chinese metaverse-related equities for actual turnover between 3% and 28% two sessions earlier, alongside a seven-session sequence of declining closes. The post gives both a formula-style condition and a Python example, and…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language post describes a stock selection screen based on three market conditions: daily price amplitude above a threshold, turnover between specified bounds, and a weekly bullish signal. The rationale is that more active, volatile stocks may…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This Chinese-language weekly report presents a cautious near-term market view after large-weight industries weakened relative to smaller industries. It describes an industry allocation signal favoring market-cap-weighted exposure, which would reduce exposure…

EquitiesMomentumVolatilityFactor investing
SuperMind

The proposed screen selects main-board Chinese stocks in the metaverse sector based on two short-term conditions: turnover above 8% on the prior day and a gain above 1% today. The document gives a concise description of the rule and reference formulas, then…

EquitiesMomentumTechnical indicatorsChina markets
BigQuant

This report is presented as the opening installment in a series on fundamental quantitative stock selection, focused on the lithium battery industry chain. Its stated aim is to combine fundamental information with traditional multi-factor selection,…

EquitiesChina marketsFactor investing
BigQuant

This forum post describes a long-short stock routine that first attempts to close existing positions, then buys the three highest-ranked stocks and sells short the three lowest-ranked. It checks whether each security can be traded before sending an order,…

EquitiesExecutionMarket microstructurePosition sizing
BigQuant

The document introduces Altman's Z-score as a composite financial-risk measure built from five ratios: working capital, retained earnings, earnings before interest and taxes, market equity relative to liabilities, and sales, each scaled against assets except…

EquitiesChina marketsFactor investingBacktesting
SuperMind

This A-share screening idea combines three conditions: daily amplitude above 1%, a ranking by individual-stock heat, and a 9:25 a.m. gain below 6%. The accompanying explanation treats amplitude as a sign of activity and stock heat as a proxy for market…

EquitiesChina marketsTechnical indicatorsExecution
SuperMind

This proposed equity screen combines three filters: at least five moving averages are said to converge, the stated 9:25 price gain must remain below a threshold, and the company must have had a high dividend payout ratio in 2019. The post presents…

EquitiesChina marketsTechnical indicatorsMean reversion
BigQuant

This research review examines momentum in China’s A-share market as institutional ownership and analyst attention have grown. It compares traditional lookback returns with measures that account for price paths, remove limit-up days, use earnings announcement…

EquitiesChina marketsMomentumFactor investing
SuperMind

The document describes a stock screen combining a minimum daily amplitude, MACD above zero, and a bounded ratio involving the previous day’s turnover rate, the current auction’s buy volume, and the prior day’s volume. It presents the screen as a way to find…

EquitiesTechnical indicatorsMomentumStatistics
BigQuant

This research summary examines how earnings forecasts can improve equity valuation and stock selection in China’s A-share market. It argues that historical return on equity alone has limited selection value there, while substituting forecast earnings for…

EquitiesChina marketsFactor investingStatistics
SuperMind

The screen selects listed Chinese A-shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, positive income, and a positive daily MACD reading. The accompanying explanation interprets turnover as a filter for market activity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening approach selects stocks with daily amplitude above 1, RSI below 65, and a daily percentage change below 2.6% but above -5%. The document frames the amplitude condition as finding stocks with notable price movement, while the RSI filter…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening idea combines three conditions: RSI below 65, MACD above its zero line, and at least two limit-up moves within a 500-day lookback. The document interprets the RSI filter as avoiding overly heated conditions, the MACD condition as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This selection method screens for stocks with amplitude above 1 and more than one year since listing, then ranks qualifying names by individual-stock heat and takes the top n. The accompanying rationale is that larger price movement may indicate market…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

The proposed stock screen combines three conditions: amplitude above 1, at least one daily gain of 10% or more within the previous 25 trading days, and company scale above 200 million. The text frames these as filters for active price movement, recent…

EquitiesVolatilityMomentumRisk management
SuperMind

This stock-selection idea combines a turnover filter, a recent price-limit event, and MACD. It selects shares with turnover between 3% and 12%, at least one limit-up during the previous 25 days, and a MACD value below zero two days earlier. The accompanying…

EquitiesTechnical indicatorsMomentum
SuperMind

This post proposes ranking Chinese equities by capital-flow strength while filtering for company scale and repeated limit-up sessions within a recent period. The rationale is that stronger flow may indicate investor attention, larger companies may be more…

EquitiesMomentumBreakoutExecution
Amberdata research

This post outlines a Chinese equity screen that combines an amplitude threshold, a proxy for institutional buying, and a recent large daily gain. The intended logic is to find volatile stocks attracting institutional interest that have also shown a strong…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This Chinese-language post describes an equity screen combining a positive MACD reading, upward-moving short-term averages, and a measure intended to capture strong investor control or positioning on the prior day. It presents the conditions as signs of an…

EquitiesTechnical indicatorsMomentumChina markets