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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 article outlines a Chinese equity screen combining a prior session’s high-low range greater than 1% with an opening price near the 10-day moving average. It adds a company-characteristics filter, suggesting traits such as growth or dividend profile, and…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

This brief post introduces a Python implementation of Markowitz portfolio theory, a framework for constructing portfolios by balancing expected return against risk. It says the article works through the theory and implementation, but the supplied document…

Portfolio constructionStatisticsBacktesting
SuperMind

This document describes a Chinese equity screen combining turnover, year-over-year net profit growth attributable to parent-company shareholders, and price position relative to Bollinger Bands. It selects stocks with turnover from 3% to 12%, profit growth…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This article describes a short-term stock screen that combines daily amplitude above 1, a daily loss between 4% and 5%, and a “round arc” chart pattern. It presents the pattern as a way to identify possible support and resistance areas, while the amplitude…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This post outlines a short-term stock-selection idea based on price range and large-order net flow, with reference to the 2021 market environment. Its explanation treats intraday amplitude and large-order activity as signs of market activity and sentiment.…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This Chinese stock-screening note describes a rules-based filter for robot-concept stocks with a stated turnover range of 3% to 12% and floating market capitalization below 10 billion yuan. From that group, it selects stocks whose MACD DEA line is rising.…

EquitiesTechnical indicatorsChina markets
SuperMind

This Chinese-language post describes a stock selection screen that ranks stocks by trading volume, keeps those with positive returns, and requires a positive gain over the past 10 days below 35%. It interprets higher volume as a possible sign of stronger…

EquitiesMomentumChina markets
SuperMind

This document proposes screening Chinese stocks by three measures: more than two limit-up sessions within ten days, high turnover as a proxy for active capital, and a high ranking in large-order net volume, defined as aggressive buying minus aggressive…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This document describes a short-term screen for mainland Chinese stocks. It looks for daily price range above 1%, a reversal pattern described as an engulfing move, and a daily gain above 1%. The proposed refinement adds index membership constraints and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screening proposal selects Chinese stocks using three conditions: amplitude above a stated threshold, a K-line-related value below a threshold, and circulating market capitalization within a specified band. The text presents the market-cap range as 5–10…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This Chinese A-share screening proposal combines a turnover filter, a ceiling on circulating share count or float capitalization, and an upward arrangement of moving averages. Its examples describe turnover between 3% and 12%, a float limit stated as 5.5…

China marketsEquitiesMomentumTechnical indicators
SuperMind

A trader reports that the same strategy produces different results across backtest runs and simulated trading, including differences in selected securities, order quantities, and execution prices. The discussion offers possible explanations: randomness or…

BacktestingExecutionPosition sizing
SuperMind

This document outlines a short-term A-share selection rule using turnover from 3% to 12%, a ratio of external to internal trading volume above 1.3, non-ST status, and exclusion of stocks that have reached the daily limit. It also applies price conditions…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This document describes a technical stock screen requiring MACD above zero, upward separation of moving averages, and a morning-star candlestick pattern. It presents MACD as a way to identify positive momentum, moving-average direction as a trend filter, and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document presents an A-share selection rule combining price amplitude above 1%, a candlestick condition described as a morning-star pattern, and turnover between 2% and 9%. It frames the candle pattern and amplitude as technical signals and turnover as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a stock screen combining daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and turnover between 3% and 12%. It presents amplitude as a way to find more volatile stocks, the float-size ceiling as a…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese equity screen selects companies with a daily high-low range above 1%, market capitalization no greater than 10 billion, positive profits, and at least one daily gain of 10% or more during the previous 25 trading days. The note presents the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese stock-screening note combines a daily price-range condition with persistent profitability and a pre-open auction return filter. Its initial criteria are a price range of at least one unit, ROE above 15% for five consecutive years, and an auction…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This A-share screening proposal combines three conditions: MACD is above zero, the price-to-earnings ratio is positive, and the current close is above the prior day’s low. The note interprets the MACD filter as a sign of an upward trend, the valuation…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes an A-share stock screen combining a daily price-range threshold, a 2021 date filter, and an increase in the K value of the KDJ indicator. Its indicator example adds conditions involving K crossing above D and reaching a high level; the…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The article explains cloud mining as renting hashpower or leasing mining equipment from a remote operator in return for a share of potential mining proceeds. It contrasts this arrangement with owning and operating hardware, outlining the lower technical and…

CryptoRisk management
SuperMind

This Chinese stock selection method screens after each trading day’s close for shares with MACD above the zero line, parent-company net profit growth greater than 20% and no more than 100%, then ranks qualifying stocks by market attention. The document…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screening idea combines three filters: market capitalization below 10 billion yuan, positive profits, and a current-day low below the previous day’s low. It also requires an intraday amplitude greater than 1, with an example…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This stock-selection post proposes screening for a daily range above a threshold, excluding stocks that closed at the limit the previous day, and requiring several moving averages to align. The accompanying rationale is that larger ranges may offer more…

EquitiesChina marketsTechnical indicatorsMomentum