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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
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 note outlines a Chinese equity screen using turnover between 3% and 12%, a positive ten-day price gain below 35%, and a revenue-growth condition. The written selection rule compares 2021 revenue with 2018 revenue and requires the ratio to exceed 1.1.…

EquitiesMomentumFactor investingChina markets
SuperMind

This Chinese stock selection note describes a screen combining RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and an “institutional bottom-fishing” condition. It presents the approach as a mix of technical,…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This screening recipe combines three main conditions: a daily high-to-low range greater than one percent, a reversal or engulfing-style price pattern, and prior-day turnover above eight percent. Its indicator examples also check that current volume exceeds…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This stock-selection idea filters for shares associated with the metaverse theme whose close is above the previous session’s low, then ranks candidates by trading heat. The provided examples use trading volume as a proxy for attention and select the…

EquitiesMomentumSentimentTechnical indicators
SuperMind

This Chinese equity screen looks for stocks with at least five moving averages converging and more than two limit-up days within a ten-day period, while excluding Beijing-listed A shares. The document interprets moving-average convergence as a sign of an…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document describes a Chinese equity screen using three conditions: daily price amplitude above 1, the 9:25 a.m. gain below 6%, and prior-day actual turnover between 3% and 28%. It presents these filters as ways to select for short-term movement and…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

The post introduces a financial time-series study using returns on the CSI 300 index. It says that EGARCH and related models are used for comparison, with an effort to fit and forecast both prices and volatility. The topic is volatility modeling through…

China marketsEquitiesVolatilityStatistics
SuperMind

This Chinese-language post describes an equity screen that combines a positive MACD condition and rising DEA with a 2019 dividend ratio above 25%. It applies the rules to constituents of the CSI 300 and gives illustrative selection and portfolio-management…

EquitiesMomentumTechnical indicatorsFactor investing
SuperMind

The post proposes screening Chinese stocks by a daily turnover rate of 3%–12%, a K indicator below 20, and an opening auction price change between -2% and 5%. It presents the filters as a way to identify stocks with short-term potential, then suggests adding…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

The document proposes screening equities for daily price amplitude above a stated threshold, at least two limit-up events over a 500-day lookback, and a K-line reading below 20, interpreted as a low stochastic-style KDJ value. It characterizes the…

EquitiesTechnical indicatorsChina markets
SuperMind

The document presents an equity screening idea that combines an RSI threshold below 65 with runs of sessions where the close is below the open, specifically seven days and three days. It frames the pattern as a way to identify technically weak stocks and…

EquitiesTechnical indicatorsChina markets
SuperMind

This Chinese-language post proposes screening equities for turnover between 3% and 12%, a rising DEA condition, and a positive return. It presents the combination as a liquidity and technical-momentum filter intended to find stocks that may continue upward.…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed Chinese stock screen combines three filters: at least five moving averages converging at one level, a high ranking on a large-order net-volume measure, and at least two limit-up sessions within a 500-day lookback. The moving averages named are…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This Chinese equity screening idea selects stocks with turnover between 3% and 12%, three consecutive declining sessions, and a stated price change between −5% and 2.6%. The article frames the conditions as a way to find relatively weak stocks that might…

EquitiesMean reversionTechnical indicatorsChina markets
BigQuant

This article argues that short-term Chinese stock traders should assess both broad social and economic catalysts and a stock’s leadership within its sector, rather than choosing limit-up stocks solely by board count, speed of limit-up, or queue size. It…

China marketsEquitiesSentimentEvent-driven
SuperMind

This Chinese equity screen looks for stocks classified under the metaverse theme and applies thresholds to free-float market capitalization and company scale. The article’s initial description specifies free-float capitalization above 10 billion yuan and…

China marketsEquitiesFactor investing
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a ratio involving the prior day’s turnover and the current opening-auction volume relative to prior volume that falls…

China marketsEquitiesExecutionMarket microstructure
SuperMind

This Chinese equity screen combines three filters: membership in the metaverse sector, a positive institutional-flow measure, and a rising-bottom price condition. The note gives an indicator formula that compares recent and longer-window lows and checks…

EquitiesTechnical indicatorsChina marketsMomentum
SuperMind

This note describes a simple Chinese equity screen combining daily turnover between 3% and 12%, an opening price within roughly 5% of the ten-day moving average, and a rising-bottom condition. It frames turnover as a liquidity filter, proximity to the moving…

EquitiesTechnical indicatorsChina marketsTrend following
SuperMind

This short-term stock screen selects shares with turnover between 3% and 12%, an appearance on the previous day’s trading leaderboard, and a 14-period RSI below 65. The document frames turnover and leaderboard appearance as signs of trading activity, while…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This screen combines daily price range, a share-price ceiling, and a moving-average crossover. It seeks stocks with amplitude above 1%, a closing price below 20, and a 5-period moving average crossing above a 10-period average. The text describes the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines three conditions: daily amplitude above 1%, circulating market value above 10 billion yuan, and a decline between 4% and 5% under the document’s stated calculation. It presents the setup as a way to find sizable, active stocks that…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This note outlines a screen for metaverse-related stocks using a positive recent return and a moving-average condition. The initial description refers to the average price being above the five-day moving average, while the final selection rule and formulas…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This equity screen selects stocks whose codes begin with 60, whose turnover rate is between 3% and 12%, and whose prior-day main fund flow is positive. The rationale is to combine a trading-activity range with a signal that large investor flows were…

EquitiesChina marketsMarket microstructureTechnical indicators