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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

12,226 documents

SuperMind

This stock selection method combines a technical filter with an earnings growth screen. It selects main-board Chinese equities with a 14-period RSI below 65, a daily price rise above 1%, and year-over-year growth in net profit attributable to parent-company…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note proposes screening Chinese equities associated with the metaverse for a rounded-base chart pattern and upward-diverging moving averages. Its final written rule specifies that the five-day moving average should diverge upward on the current day. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note presents a Chinese equity screen requiring price amplitude above a stated threshold, a stock code beginning with 60, and an association with the metaverse concept. It explains the filters as a combination of higher price variability, a market…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock-selection approach combines price amplitude above 1, a weekly crossover of the 5-period moving average above the 10-period average, and a condition that the stock rose during 2021. It aims to find shares with notable price movement and an upward…

China marketsEquitiesTrend followingTechnical indicators
SuperMind

This A-share stock screen combines a turnover ratio between 3% and 12%, a newly formed KDJ bullish crossover, and a closing price of at least 18.5 yuan. The stated rationale is to seek stocks with moderate trading activity and a possible upward trend, while…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a stock screen that combines a prior-period price-amplitude condition with a MACD signal above the zero line and a closing price between the Bollinger middle and upper bands. It frames the amplitude filter as selecting more volatile…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post presents a screen for mainland Chinese equities in the metaverse sector. Its final selection rules combine a high prior-day turnover measure, a shareholder-concentration threshold, positive year-over-year net-profit growth above a…

China marketsEquitiesFactor investingBacktesting
SuperMind

This stock-selection rule first limits candidates to the metaverse industry, then looks for an opening price near the 10-day moving average and simultaneous bullish signals from MACD, KDJ, and RSI. In the example formulas, the price condition uses recent…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock screen combines three filters: daily amplitude above 1%, a 10-day gain greater than zero but below 35%, and membership in the metaverse concept group. The article explains that the amplitude condition seeks active price movement, while the return…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

This document outlines an equity screen that keeps stocks with turnover between 3% and 12%, a rising KDJ K value, and improving capital-flow strength rank. It also excludes a specified board category in the formula and example code. The intended ordering…

EquitiesTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screening rule that looks for stocks with amplitude above 1, three moving averages in a bullish ordering, and a signal interpreted as the start of a strong advance. Its example uses 5-, 10-, and 20-period averages, an…

EquitiesTechnical indicatorsTrend following
SuperMind

This post describes a stock selection screen requiring an intraday range above 1, RSI below 65, and a rising KDJ K value across successive observations. It interprets the conditions as seeking stocks with notable price movement, without a high RSI reading,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post describes a stock screen combining three conditions: volume ratio ranks among the top 100 stocks, the current day's decline falls between 4% and 5%, and the 10-day gain is positive but below 35%. The author interprets this mix of trading activity,…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This Chinese stock-screening post selects shares with daily amplitude above 1%, no limit-up close on the previous day, and at least one daily gain of 10% or more during the last 25 trading days. It frames amplitude as a way to find more volatile names and…

EquitiesChina marketsMomentumVolatility
SuperMind

This Chinese stock-screening post describes selecting shares with turnover between 3% and 12%, a circulating share count no greater than 5.5 billion, and an appearance on the previous day’s public top-trader list. It explains the list as a disclosure…

EquitiesChina marketsEvent-drivenRisk management
SuperMind

This stock screen combines a turnover-rate range with seven consecutive declining sessions. Its initial conditions require turnover between 3% and 12%, plus current turnover above 2% and below 9%; together, these overlapping limits make the effective current…

EquitiesTechnical indicatorsMean reversionRisk management
SuperMind

This document describes a Chinese stock-selection screen using three conditions: RSI below 65, seven consecutive bearish days, and a stated “today control” measure above 21. It presents the screen as a way to find shares that have fallen for several sessions…

EquitiesTechnical indicatorsMean reversion
SuperMind

This Chinese-language post outlines a stock screen combining three conditions: daily amplitude above one percent, a trading date in 2021, and a Dragon-Tiger List appearance on the prior day. It explains amplitude as a signal of elevated price movement and…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese equities screening idea selects stocks with turnover between 3% and 12%, at least one limit-up event within the prior 25 days, and a nonnegative reading for the previous day’s main-fund control or flow measure. The post frames these conditions…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed Chinese equity screen selects stocks with daily amplitude above 1%, circulating market capitalization above 10 billion yuan, and closing price above the five-day moving average. The article presents amplitude as a measure of trading activity,…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese stock screen requires turnover between 3% and 12%, a listing on the previous day's trading leaderboard, and a rising-bottoms condition. The article represents the last condition with a positive 60-period bias-power measure. It presents the…

China marketsEquitiesTechnical indicatorsMomentum