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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
WonderTrader
14 documents
Alphalens
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

12,226 documents

SuperMind

This stock-screening approach selects equities with turnover between 3% and 12%, a K indicator below 20, and a rising 30-day moving average. It combines a trading-activity filter, an indicator threshold, and a short trend check to identify candidates that…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This post describes a Chinese equity screening rule for stocks associated with the robotics concept. It selects shares with turnover between 3% and 12%, floating market capitalization below 10 billion yuan, and a ten-day price change above zero but below…

EquitiesChina marketsMomentumFactor investing
SuperMind

This document describes a short-term stock screen combining a prior-day amplitude threshold, appearance on the previous day's market activity list, current trading volume above a stated threshold, and an open price above the close. It explains the intended…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This draft presents a research framework for estimating short-horizon crypto prices from fixed-interval data. It resamples futures and spot mid-prices at 100-millisecond intervals, derives returns, and preprocesses order-book imbalance features. The proposed…

CryptoFuturesSpot marketsMarket microstructure
SuperMind

This note proposes screening Chinese stocks for turnover between 3% and 12%, a reversal pattern described as an engulfing move, and three consecutive declining closes. The stated idea is to look for short-term opportunities after a run of falling prices…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This stock-selection rule targets main-board shares with turnover between 3% and 12%, a daily gain above 1% relative to stocks in the same sector, and previous-day auction turnover above 0.26. The article presents the auction-turnover filter as a way to…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

The article outlines a Chinese equity screening idea that combines three signals: a high daily increase in position share, reported institutional buying near lows, and repeated limit-up sessions within a recent window. It interprets these conditions as signs…

EquitiesMomentumBreakoutFactor investing
SuperMind

This screening idea combines three conditions: price amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and at least five moving averages converging or crossing. The article interprets the shrinking histogram as a possible change…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening proposal selects shares with an amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and the weekly close crossing above its 30-week average. The article frames the amplitude filter as a…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

This stock-screening proposal combines a 14-period RSI below 65 with membership in the beverage and alcohol import-export industry and exclusion of stocks marked ST. It adds a five-step limit-up method to look for candidates before or shortly after the open,…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

The document describes a technical equity screen based on price amplitude, ranking by net large-order flow, and daily MACD above zero. It presents these as indicators of movement, trading activity, and directional momentum, and includes a sample formula and…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document proposes an equity screening rule that combines price amplitude above a threshold, MACD above its zero line, and a gradually rising, arc-shaped price pattern. It interprets amplitude as a measure of movement, positive MACD as a bullish signal,…

EquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection rule combines three technical conditions: RSI below 65, weekly MACD above the zero line, and a shortening green MACD histogram on a 15-minute chart. The accompanying screening logic also ranks candidates by daily price change and retains…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection post proposes screening shares using turnover between 3% and 12%, a positive 10-day gain below 35%, and weekly MACD above zero. Its accompanying example adds practical filters such as excluding certain board listings, recently…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-screening proposal selects non-ST, non-suspended shares using a price-range condition, prior-day turnover between 3% and 28%, and a rule described as the five-step limit-up method. The stated aim is to focus on active shares showing short-term…

China marketsEquitiesBreakoutMomentum
SuperMind

This Chinese stock-selection idea combines a daily price-range threshold, three consecutive limit-up sessions through the prior day, and a rising moving-average sequence intended to identify the start of a strong advance. The accompanying indicator example…

China marketsEquitiesBreakoutMomentum
SuperMind

This note describes a Chinese equity screen combining daily range, a reversal or engulfing-style pattern, and exclusion of stocks that hit the upper price limit on the prior day. The refined rule checks for a reversal within the recent three trading days. It…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese-language post outlines a stock screen using five moving averages: 5, 10, 20, 30, and 60 days. It selects stocks whose averages converge, constrains the ten-day price change to be positive and below 35, and proposes ranking candidates by…

EquitiesTechnical indicatorsMean reversionMomentum
SuperMind

This post describes a Chinese equity screen that selects stocks using three price conditions: daily amplitude above 1%, a positive but less than 35% return over ten days, and a price move below 6% at the 9:25 reference point. It explains amplitude as a proxy…

China marketsEquitiesMomentumVolatility
SuperMind

This note outlines a Chinese equity screen combining a ranking by capital strength with company characteristics and a year-specific filter. It describes capital strength as a measure related to trading volume and turnover value, and suggests taking the top…

China marketsEquitiesFactor investingRisk management
SuperMind

This Chinese stock-screening note describes a rule set for selecting stocks classified in the metaverse theme. The initial criteria are a positive daily price return and a positive institutional-flow ranking. It explains the rationale that institutional…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection proposal focuses on metaverse-related shares that meet three technical crossover conditions: MACD crosses its signal line, the 5-day moving average crosses above the 10-day average, and the 5-day average crosses above the 20-day…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening rule combines three conditions: the stock’s daily amplitude exceeds 1%, it appeared on the prior day’s top-traded-stock list, and its 20-day moving average is above its 120-day moving average. The rationale is to find active…

EquitiesChina marketsTechnical indicatorsMomentum