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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-selection post describes a screen for companies classified in the metaverse industry. Its stated criteria include a volume ratio above 1.5 and below 6, at least one daily gain of 10% or more during the prior 25 trading days, and, in the final…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This note presents a simple stock screen for companies in the metaverse theme with circulating market capitalization above 10 billion yuan. It selects stocks whose opening price is within roughly five percent of the ten-day moving average of opening prices.…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This note describes an A-share stock screen combining daily amplitude above 1%, a robot-industry theme, circulating market capitalization below 10 billion yuan, and positive recent net profit. It also refers to ordering candidates by popularity. The…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese equity screen combines a daily amplitude threshold, at least two limit-up events over a 500-day lookback, and a three-session limit-up streak ending the prior day. It aims to find shares with substantial price movement and repeated strong upward…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This stock selection idea ranks shares by volume ratio and retains the top 100, then filters for stocks listed for more than 30 days whose 30-day moving average is rising. The intended rationale is to combine unusually high recent trading activity with a…

EquitiesMomentumTechnical indicatorsStatistics
SuperMind

The screen selects Chinese stocks when the daily high-low range exceeds 1% of the low, the KDJ J line has just crossed above its D line, and the 20-day moving average is above the 120-day average. The author interprets the range condition as a sign of…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection idea screens Chinese A-shares by requiring a daily high-low range above a threshold, excluding stocks that hit the upper price limit on the previous day, and omitting Beijing-listed shares. The stated rationale is that a larger range may…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document outlines a Chinese equity screening rule combining three conditions: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and a prior session that did not close at the daily limit-up threshold. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document describes a trend-following indicator package intended to support swing trading. It claims to provide entry opportunities, warn when a trade following an initial signal carries risk, and help identify when a trend may be nearing its end. A…

Trend followingTechnical indicatorsRisk managementBreakout
SuperMind

The post presents a stock selection rule combining RSI below 65, displayed best-bid volume greater than best-ask volume, and exclusion of stocks that hit the prior day’s upper price limit. Its example code adds a positive daily price-change condition, so the…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This Chinese stock-selection post combines a daily amplitude threshold with a ratio involving the previous day’s turnover and the current opening-auction volume relative to the prior day’s volume. It also describes selecting stocks when three moving…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document presents a Chinese stock-selection screen that filters for price amplitude above one percent, excludes Beijing-listed A shares, and keeps stocks with turnover between three and twelve percent. It frames amplitude and turnover as rough measures…

EquitiesChina marketsTechnical indicators
SuperMind

This article describes an A-share stock screen focused on Shenzhen main-board companies in the metaverse sector. It combines price-to-earnings and price-to-book ranges with a volume ratio above 1.5 and below 6, then adds a relative-strength ranking cutoff in…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening proposal targets stocks in the metaverse theme with a positive return, excludes special-treatment shares, and adds a “five-step limit-up” pattern intended to identify candidates with potential momentum. The document describes…

EquitiesChina marketsMomentumBreakout
SuperMind

This example studies how order latency affects a grid-based market-making strategy for ETH perpetual futures. The strategy estimates trading intensity from the distance between the midpoint and observed trade arrivals, fits a decay relationship to that…

CryptoPerpetual futuresMarket makingGrid trading
SuperMind

This note describes a Chinese equity screen combining a relative strength index below 65 with revenue in 2021 more than 1.1 times revenue in 2018. It further limits the universe to companies valued below 10 billion yuan and excludes loss-making firms. The…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This proposed equity screen focuses on stocks classified in the metaverse industry. It selects names where KDJ has just formed a bullish crossover, ranks the qualifying stocks by capital inflow from highest to lowest, and takes the top 20. The post describes…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed China A-share screen selects stocks whose MACD value is above zero, then sorts candidates by individual-stock popularity and applies a price ceiling of less than 12. It is intended to run after each daily close. The document explains MACD as a…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This post proposes a stock-selection screen combining daily price range, moving-average direction, a market-capitalization ceiling, and a profitability condition. In broad terms, it seeks stocks with noticeable daily movement, an upward-sloping short-term…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post outlines a stock screen for companies classified in the metaverse industry. It combines a maximum share-float threshold with a minimum market-value threshold, aiming to find larger companies whose tradable share supply remains…

EquitiesChina marketsFactor investing
SuperMind

The document presents a Chinese equity screening rule combining a 3% to 12% turnover-rate range, a reversal or engulfing-style price pattern, positive daily return, and a volume ratio between 1.5 and 6. It further limits the universe to listed Shenzhen…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share screening idea combines three conditions: daily price amplitude above 1%, an opening price near the 10-day moving average, and tradable share float no greater than 5.5 billion shares. The document interprets the range condition as selecting…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This screen selects Shanghai-listed A-share stocks whose codes begin with 60, whose turnover is between 3% and 12%, and which are described as having reached a three-day consecutive limit-up sequence the prior day. Its stated rationale is short-term…

EquitiesChina marketsMomentumBreakout