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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

The proposed screen selects stocks after the open when their five-period amplitude measure exceeds a threshold, the measured institutional participation rate changes materially from the prior day, and the share price equals a specified level. The document…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This Chinese stock-selection proposal combines a relative-strength index below 65, an external-to-internal trading-volume ratio above 1.3, and revenue growth from 2018 to 2021 above 10%. The author presents the mix as a way to bring technical conditions,…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

The document outlines a Chinese equity screening idea combining three conditions: at least five moving averages converge, the opening price is near a ten-day average, and the quoted 9:25 change is below 6%. It argues that converging averages may indicate…

EquitiesTechnical indicatorsChina markets
SuperMind

This stock selection approach combines moderate trading activity, recent price-limit events, and a cap on tradable shares. It screens for turnover between 3% and 12%, at least one limit-up event in the prior 25 days, and a float threshold stated as 5.5…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This post proposes a Chinese equities screening rule combining a relative strength index below 65, seven consecutive declining sessions, and a 2019 dividend payout measure above 25%. Its final version adds a market-value range of 5–20 billion yuan. The post…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This historical account explains how Bridgewater developed the All Weather approach from a broader effort to understand recurring economic relationships. Its core framework separates returns into cash, market beta, and manager alpha, then considers how…

Multi-assetPortfolio constructionRisk managementFixed income
SuperMind

This article presents a Chinese equity selection rule focused on stocks associated with the metaverse concept. Candidates must have a 30-day moving average that is rising and must not be listed on the STAR Market. The article gives screening logic in terms…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This article describes a Chinese equity screen combining daily price movement, a rising trend filter, a market capitalization ceiling of 10 billion yuan, and positive net profit. It frames amplitude above 1% as a way to find more volatile shares and a 20-day…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This strategy uses the range-based RSRS indicator to time exposure and rotate between large-cap and small-cap Chinese equity ETFs. It fits a rolling ordinary least squares regression of daily highs on lows, standardizes the recent regression slope, and…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

The document describes a simple Chinese equity screening rule: select stocks with a daily high-to-low range above 1%, a reversal-style candle condition called “fanbao,” and a high equal to the maximum over the current and prior day. It presents the rule as a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and limits circulating share count to 5.5 billion. The article also discusses combining these filters with company and industry information, valuation…

EquitiesChina marketsFactor investing
SuperMind

This stock-selection outline screens Chinese equities for a daily price amplitude above 1, a listing history longer than one year, membership in a robotics concept group, and circulating market value below 10 billion yuan. It describes joining listed-company…

EquitiesChina marketsPosition sizing
SuperMind

This Chinese stock-screening article proposes selecting shares with a daily range above a threshold, rising lows, positive institutional buying, and a 20-day moving average above the 250-day average. It also excludes special-treatment stocks and describes…

EquitiesTechnical indicatorsMomentumSentiment
SuperMind

This Chinese stock-screening note describes a technical filter combining daily price range, Bollinger Bands, and recent returns. It seeks stocks with a price range above a 20-day average, a close between the Bollinger middle and upper bands, and a positive…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese stock screening idea selects companies in the metaverse sector with a volume ratio between 1.5 and 6 and a prior-day appearance on the Dragon and Tiger List. The article frames these filters as a way to find active stocks attracting attention.…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This FAQ explains how an exchange prevents a user’s orders, or orders from accounts sharing a trade group, from matching against each other. It describes the available outcomes: allow the match, expire the taker or maker order, expire both, decrement both…

ExecutionMarket microstructureRisk management
SuperMind

This Chinese stock selection note proposes combining three conditions: prior-day price amplitude above 1%, appearance on the previous day’s 龙虎榜 (a list of stocks with notable trading activity), and a newly formed bullish KDJ crossover. The rationale is that…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post outlines a Chinese equity screen for stocks classified in the metaverse sector. It requires a positive recent return and a MACD histogram value below zero two sessions earlier. The stated rationale is to combine sector membership and a positive…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese-language post describes an equity screen combining a relative strength index below 65, seven consecutive down sessions, and return on equity above 15% for each of five consecutive years. It presents the RSI and price streak as technical filters…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This stock-selection rule looks for shares with daily amplitude above 1%, an opening price within 2% of the 10-day moving average, and no prior-day limit-up. The article frames volatility as a source of potential short-term opportunity, the opening-price…

EquitiesVolatilityTechnical indicatorsRisk management
SuperMind

This note describes an equity selection rule using three conditions: a 14-period RSI below 65, bid-side volume greater than ask-side volume, and the 20-day moving average above the 120-day moving average. The RSI threshold is presented as a way to avoid an…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This note outlines an equity screen for metaverse-related stocks. It combines daily price amplitude above 1 with a condition that at least one trading day in the prior 25 sessions had a gain of 10% or more. The stated rationale is to find volatile shares…

EquitiesVolatilityMomentumTechnical indicators