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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
Quantpedia
86 documents
TqSdk
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

12,226 documents

SuperMind

This note describes a Chinese equity screen combining daily amplitude above 1, upward-diverging moving averages, and a three-session bullish reversal pattern called the Kute Intelligent morning star. The pattern begins with a long bearish candle below the…

EquitiesTechnical indicatorsBreakoutChina markets
SuperMind

This document proposes a Chinese stock screen combining three conditions: amplitude above one, a shortening negative MACD histogram on a 15-minute chart, and at least two limit-up events within the preceding 500 days. The intended interpretation is that…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This document describes a daily pre-market screen for Chinese A-shares. It selects stocks with a positive MACD histogram and a positive trailing P/E, then ranks them by trading activity, represented in the indicator example by daily trading amount. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The proposed Chinese equity screen combines a daily amplitude threshold, a positive weekly MACD condition, and simultaneous bullish moving-average crosses. Its final rule names MA, MACD, and KDJ as the three indicators, but the accompanying formula and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document presents a short-term stock selection screen combining three conditions: daily amplitude above a threshold, the 9:25 opening indication below a specified gain, and positive money-flow strength ranked from higher to lower. It frames the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection strategy combines a relative strength index below 65 with the product of price change and net volume from very large orders. It also requires that the stock recorded at least one daily gain of 10% or more within the previous 25…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The article presents a Chinese equity screening rule for robot-themed companies. It selects stocks with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and circulating market capitalization below 10 billion yuan. The…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This Chinese equity screen combines three filters: membership in the metaverse theme, a prior-day close above the 250-day moving average, and a shortening MACD histogram on a 15-minute chart. The long-term price filter selects stocks above a trend reference,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The screen selects Chinese equities associated with the robotics concept, limits daily turnover to 3%–12% and circulating market value to below 10 billion yuan, then ranks eligible stocks by net fund flow. The post presents this as a way to combine a…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This proposed screen looks for non-ST Chinese stocks before 10 a.m. with amplitude greater than one, a pattern described as a five-step limit-up method, and an opening price near the ten-day moving average. The accompanying example translates parts of that…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock screen combines three filters: at least five moving averages overlap, the prior day’s exchange leaderboard shows participation by large institutions or funds, and the company’s 2019 payout ratio exceeds 25%. The article interprets the…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This stock-selection rule screens Chinese equities for daily amplitude above one, a specified upward relationship between the close and five-day moving averages, and a concentration measure below 20%. The accompanying explanation describes amplitude and…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The document describes a Chinese stock screen combining turnover, year-over-year net profit growth attributable to shareholders of the parent company, and a newly formed KDJ bullish crossover. Its stated filters require turnover between 3% and 12%, profit…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock-screening strategy selects shares with turnover between 3% and 12%, a positive product of price change and large-order net buying, and at least one limit-up event in the recent month. The article presents these filters as a combination of…

EquitiesChina marketsMomentumSentiment
SuperMind

This stock-selection approach ranks shares by capital inflow, including measures such as northbound investment or margin financing, and combines that ranking with a moving-average trend filter. The stated conditions include a 20-day average above the 120-day…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese stock-screening note combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and three consecutive declining sessions. It frames amplitude as a volatility filter and the histogram change as a…

EquitiesTechnical indicatorsMean reversionVolatility
SuperMind

The document outlines a Chinese-equity screen for robot-concept stocks that combines a minimum daily trading-range condition with limits on total and freely tradable market capitalization. It also calls for profitable companies, described in the refined…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document describes a Chinese stock screen using price amplitude, a recent three-session sequence of rising closes described as three consecutive limit-up moves, and a prior-day actual turnover range. The rationale is that large price movement and…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document outlines a technical stock screen combining a price-amplitude threshold, a morning star candlestick pattern, and a negative MACD reading from two days earlier. It describes the pattern and recent MACD condition as a way to look for stocks that…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This document describes a daily stock screen combining a positive MACD condition, ranking by stock popularity, and a threshold for buying-side versus selling-side activity. It presents MACD as a way to identify trend direction and popularity as a measure of…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This notebook demonstrates a workflow for running an online portfolio moving average reversion algorithm in Zipline and analyzing its output with pyfolio. The example applies OLMAR to a fixed basket of seven stocks, estimates relative mean deviations from a…

EquitiesMean reversionPortfolio constructionBacktesting
SuperMind

This article presents a simple A-share stock screen based on three stated conditions: daily amplitude above one percent, a share price of 18.5 yuan, and a close above the previous day's low. It interprets the range as a measure of price fluctuation and the…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This document describes an A-share screen combining metaverse industry membership, a rising 30-day moving average, and a 15-minute MACD condition. The stated MACD rule looks for a shortening histogram under specified comparisons between the current and prior…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note presents a Chinese equity screen that combines metaverse-theme membership, positive net buying attributed to major participants during the opening auction, and a MACD value above zero. It gives a formula for calculating MACD from 12- and 26-period…

EquitiesChina marketsMomentumTechnical indicators