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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

22,592 documents

SuperMind

This stock-screening proposal combines a daily price-range condition, the presence of a convertible bond, and a volume-activity measure built from yesterday’s turnover and today’s auction volume relative to yesterday’s volume. The article frames these inputs…

EquitiesTechnical indicatorsMarket microstructureChina markets
SuperMind

This Chinese stock-screening example combines a daily price-range threshold, a weekly MACD condition, and the presence of an outstanding convertible bond. Its indicator description requires the prior weekly MACD line to exceed its signal line while MACD is…

EquitiesTechnical indicatorsChina markets
SuperMind

This note presents a Chinese equity screen combining three historical price conditions: a daily high-low range above one percent, at least one daily gain of ten percent or more within the prior 25 trading days, and a reversal or engulfing-style pattern…

EquitiesChina marketsVolatilityMomentum
SuperMind

This note describes a short-term Chinese equity screen limited to stocks associated with the metaverse concept. It requires the 30-day moving average to rise and applies a combined price-range and trading-volume threshold, presented as a proxy for price…

EquitiesChina marketsTechnical indicatorsPosition sizing
SuperMind

This Chinese stock-screening post describes ranking shares by relative volume and restricting the prior day’s actual turnover to a range above 3% and below 28%. It says to select the top 100 by the volume ratio and the top 100 by turnover, and frames these…

EquitiesChina marketsTechnical indicatorsFactor investing
MQL5 code base

The Freedom of Movement oscillator is presented as a way to measure price movement while removing the trend component. It standardizes a volume-to-movement measure against its own moving average and standard deviation over a configurable period. Its inputs…

Technical indicatorsStatisticsEquities
SuperMind

This Chinese stock-screening example combines three conditions: turnover between 3% and 12%, three consecutive declining sessions, and 2021 revenue more than 1.1 times 2018 revenue. It presents the revenue comparison as a way to screen for companies with…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This document proposes a daily stock screen that selects shares with amplitude above 1, at least two limit-up events in the past 500 days, and no limit-up move on the previous day. It provides indicator formulas and a Python example using historical stock…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document outlines a mainland China stock-selection screen built around three conditions: amplitude above 1, a rising base, and a gain above 1% on the current day. Its final stated logic also removes ST and *ST shares and describes selling when a candle…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language article outlines an equity screening approach based on intraday price range, a ranking for net large-order volume, and high turnover on the prior day. The rationale is that volatile, actively traded stocks with substantial trading…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

The post describes a China A-share stock screen for metaverse-related companies listed on the Shenzhen main board. Its stated filters combine a minimum circulating market capitalization with positive price-to-earnings and price-to-book ratios capped at…

EquitiesFactor investingChina marketsPortfolio construction
SuperMind

This Chinese-language document presents an A-share stock screen based on turnover between 3% and 12%, at least one limit-up event during the prior 25 days, and floating market value between 5 billion and 10 billion yuan. It includes a technical formula and a…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language document outlines an A-share screening rule that combines MACD with a company classification filter. It seeks stocks where MACD is above zero and the MACD histogram’s green bars are shortening on a 15-minute interval, while excluding…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection rule screens the metaverse theme for shares meeting two price-trend conditions: the previous day’s price must be above the 250-day moving average, and the weekly close must cross above its 30-week moving average. The first condition…

China marketsEquitiesTechnical indicatorsMomentum
Stratmill research code

This implementation describes a pairs-trading method based on modeling the log price relationship between two stocks as an Ornstein–Uhlenbeck process. It constructs the spread as the difference between the stocks’ log prices, fills missing observations…

EquitiesPairs tradingMean reversionStatistics
SuperMind

This A-share screen combines a daily high-low range of at least one, return on equity above 15% in each of five consecutive years, and a proxy for recent large-investor control or buying pressure. The article presents the range condition as a way to identify…

EquitiesChina marketsFactor investingMomentum
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and a pattern of progressively higher lows. The accompanying explanation interprets repeated tests at increasingly elevated price bottoms as evidence of…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening note combines three conditions: daily amplitude above 1%, a maximum intraday decline between 4% and 5%, and the stock’s average price above its five-day moving average. It presents the range and decline as measures of market…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This note presents a Chinese equity screen for metaverse-related stocks. It selects companies whose 9:25 price gain is below 6% and whose circulating market capitalization exceeds 10 billion yuan. The accompanying explanation treats the opening move limit as…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This note describes a Chinese equity screen for metaverse-themed stocks. Its stated criteria are a volume ratio above 1.5 and below 6, positive net buying by major participants during the opening auction, and— in the final version—a price-to-earnings ratio…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This note presents a Chinese equity screening rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and a weekly price move above the 30-week moving average. It frames turnover as a liquidity filter, the KDJ signal as evidence of…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This note describes a Chinese stock selection rule combining daily price range, afternoon large-order net inflows, and relative trading volume. It specifies an amplitude above 1%, with volume ratio between 1.5 and 6, and treats qualifying shares as…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document presents a Chinese equity screening idea combining daily price amplitude above a threshold, a positive weekly MACD histogram, and recent limit-up behavior. It frames these conditions as a way to find active stocks with short-term upward…

EquitiesMomentumTechnical indicatorsRisk management