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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 Chinese equity screen selects stocks with RSI below 65, turnover between 3% and 12%, and a rising 30-day moving average. It combines a momentum or price-condition filter with a liquidity range and a trend condition, with the stated aim of favoring…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screening rule combines a daily turnover range of 3% to 12%, appearance on the prior day’s trading leaderboard, and buy volume from large and extra-large orders during the opening auction above 7 million. The stated rationale is to use…

China marketsEquitiesTechnical indicatorsMarket microstructure
BigQuant

This weekly review tracks the returns and direction changes of 16 equity factors in the Chinese market during the 25th week of 2018. It reports that sales net margin had the strongest weekly performance, while valuation factors remained weak and the size…

China marketsEquitiesFactor investingMomentum
SuperMind

This document proposes selecting Chinese stocks with a minimum amplitude, more than a year of listing history, and signs of institutional buying. The indicator example combines a recent price-change measure, a five-period money-flow sum, a ranked…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document presents a short-term stock-selection screen combining intraday amplitude, a price-position condition described as a rounded arc, and increasing volume totals over progressively longer recent windows. Its example formula compares recent…

EquitiesTechnical indicatorsMomentumChina markets
BigQuant

The document describes a deep learning model intended to estimate a company’s next-quarter operating revenue year-over-year growth. It frames the forecast as a potential input to value-oriented investment decisions and says the target corresponds to roughly…

EquitiesMachine learningStatistics
SuperMind

This post describes a mainland Chinese stock selection rule combining an RSI reading below 65, a daily gain greater than one percent, main-board membership, and a newly formed KDJ bullish crossover. It frames the filters as a way to find stocks with a…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post outlines a Chinese equity screen for companies below a stated market-cap ceiling that report no losses. It also filters for daily price range above a threshold and excludes stocks that closed at the daily limit on the previous day. The suggested…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese-language post proposes a technical screen for mainland Chinese stocks. It selects shares with daily high-to-low amplitude above one percent, at least one limit-up event during the prior 25 trading days, and at least two limit-up events within…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post describes a Chinese equity screen for metaverse-related stocks. It combines a positive institutional-flow measure with positive net buying attributed to major participants during the opening auction. The proposed selection rule is intended to…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

The document outlines a stock-selection screen for metaverse-related companies. It combines a positive institutional-flow condition with a weekly moving-average crossover, where the five-week average rises above the ten-week average. It gives example…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

The document describes a short-term stock screen for China’s metaverse-related equities. It selects stocks whose reported 9:25 price change is below 6% and whose external-to-internal trading volume ratio exceeds 1.3. It provides example indicator formulas…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This Chinese equity-screening note selects stocks with turnover between 3% and 12%, circulating market value between 5 billion and 10 billion yuan, and an appearance on the previous day’s “Dragon and Tiger List,” a Chinese market list highlighting notable…

EquitiesChina marketsMarket microstructureStatistics
SuperMind

This Chinese stock-screening note describes selecting companies in the metaverse industry whose opening price is near the 10-day moving average and whose indicated gain at 9:25 is below 6%. It presents the opening-price relationship and premarket move as…

EquitiesTechnical indicatorsChina markets
SuperMind

The document presents a stock-selection idea based on a reported buying-interest measure above 5%, a price below 12, and an upward-sloping 30-day average. It describes these conditions as a way to find lower-priced stocks with buying demand and a rising…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document outlines an A-share stock screen combining a 14-period RSI below 65, positive net profit growth between 20% and 100%, and a positive 10-day price change capped at 35%. Its SQL example adds further filters, including positive net profit, exchange…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese-language post presents an A-share screening rule combining metaverse-sector membership, a circulating market capitalization threshold, and a set of price conditions involving the current and previous daily candles. The conditions require the…

EquitiesChina marketsTechnical indicators
BigQuant

This forum post questions the target-return calculation in a one-day equity strategy’s labeling code. The strategy is described as buying near the open on one day and selling at the close of the next, yet the label reportedly divides a later session’s high…

EquitiesMachine learningBacktestingStatistics
SuperMind

The proposed Chinese equity screen selects stocks with an amplitude above one, excludes those that closed at the prior day’s upper limit, and requires the prior day’s 9:15 matching price to be at the lower limit. The stated rationale is that a sharp downside…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This stock screen combines three conditions: prior-session price amplitude above 1%, tradable shares no greater than 5.5 billion, and prior auction turnover above 0.26. The article explains the intended rationale: a larger range may identify short-term…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This proposed screen targets mainland Chinese main-board stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, takes the top five, and requires the current price to be more than 1% above the open. A Python…

EquitiesChina marketsMomentumExecution
SuperMind

This proposed Chinese A-share screen selects stocks with at least two limit-up sessions over a 500-day lookback and excludes Beijing-listed shares. The post interprets repeated limit-ups as a sign of strong price action, but provides no backtest results or…

EquitiesChina marketsMomentum
BigQuant

This forum post raises operational problems encountered after submitting previously successful stock strategies for simulated trading. The author reports that some buy instructions appear a day early and are later marked invalid, that incomplete purchases…

EquitiesExecutionBacktestingPortfolio construction