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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 post outlines a Chinese equity screening idea that combines a market-capitalization limit, a history of no reported losses, weekly MACD above zero, and capital strength ranked from high to low. The stated rationale is to find smaller companies with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article proposes a stock screen combining three signals: daily position increases above 5%, upwardly diverging moving averages, and a shortening green histogram on a 15-minute MACD. It interprets these as evidence of capital inflow, a rising price…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This post presents an equity screening rule using three conditions: daily price range must exceed a threshold, a reversal or engulfing pattern must appear, and the indicated 9:25 price gain must remain below a ceiling. It offers formula and Python examples…

EquitiesTechnical indicatorsChina markets
SuperMind

This note describes a stock screen requiring amplitude above a threshold, an opening price near the ten-day moving average, and a six-period RSI below a stated ceiling. The moving-average condition is implemented as a band around the average, while the…

EquitiesTechnical indicatorsVolatilityMomentum
SuperMind

This note presents an A-share stock screen combining daily price amplitude, a specified share price, and positive net buying by large participants during the auction. It interprets amplitude as a sign of price movement and auction buying as evidence of…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This note describes an A-share stock screen that selects securities with codes beginning with 60, daily amplitude above a threshold, and a rising-bottom pattern. It presents the code prefix as an initial universe filter and suggests adding technical,…

EquitiesChina marketsTechnical indicators
SuperMind

This stock screen combines a technical filter, a revenue comparison, and prior limit-up activity. It selects shares with a 14-period RSI below 65, revenue in 2021 more than 1.1 times revenue in 2018, and at least three limit-up sessions within 500 days. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post outlines an A-share stock screen combining price range, a robotics concept classification, circulating market capitalization, and trading-volume conditions. It seeks stocks with an intraday high-to-low range above one percent,…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The article describes a Chinese A-share screening rule that combines a technical filter with company earnings growth. It selects stocks with RSI below 65 and year-over-year growth in net profit attributable to the parent company above 20% and no more than…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This post proposes screening stocks for a daily high-low range above 1% during 2021 and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%. It interprets the range threshold as a sign of price…

EquitiesChina marketsVolatilityStatistics
SuperMind

This post outlines a stock-selection rule using three conditions: a gain below 6% at 9:25, positive returns, and ranking by descending capital strength, which the article associates with trading volume. Its rationale is that heavier volume may indicate…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This post describes a Chinese A-share screening rule for main board stocks that are not specially treated. It selects stocks with turnover between 3% and 12%, a daily gain above 1%, and at least two limit-up events within a stated 500-day lookback. The…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This overview introduces three assumptions commonly associated with technical analysis: market activity is reflected in prices, prices tend to move in trends, and historical patterns may recur. It also frames volume, price, time, and range as core elements…

Technical indicatorsTrend followingEquitiesFutures
SuperMind

This stock-selection rule combines three filters: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and a session low-to-previous-close decline between 4% and 5%. It is presented as a way to find Chinese…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article proposes screening Chinese equities by ranking capital-flow strength, limiting the tradable share count to at most 5.5 billion shares, and requiring more than two daily limit-up moves within the prior ten days. It interprets strong flows and…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese-language post describes a stock-selection screen for companies classified in the metaverse theme. It filters for prior-day actual turnover between 3% and 28% and requires bearish real bodies across the preceding three sessions. The post…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share selection method looks for stocks with RSI below 65, MACD above zero, and more than two limit-up sessions during the prior ten days. The note interprets RSI as a gauge of market condition, positive MACD as a sign of an upward or consolidating…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection note combines three technical conditions: prior-session amplitude above 1%, an opening price within 5% of the 10-day moving average, and a reversal candle pattern described as an engulfing move. It frames the amplitude filter as a way to…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This note describes an A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive earnings, and an opening auction price change from -2% to 5%. The stated rationale is to focus on profitable, moderately…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This Chinese-language post outlines an equity screen that combines a turnover-rate range of 3% to 12%, first-level bid volume greater than ask volume, and positive afternoon large-order net inflow. It proposes taking the first 50 stocks that meet the…

EquitiesChina marketsMarket microstructureSentiment
SuperMind

This 2017 review compares commodity trading adviser factors and explores ways to combine them. It covers time-series and return-signal momentum, roll yield, basis momentum, and changes in warehouse receipts and inventories. The report says standalone…

FuturesMomentumCarryFactor investing
SuperMind

This proposed stock screen combines three technical conditions: a daily amplitude measure above 1, a positive weekly MACD condition described as a red histogram, and seven consecutive declining closes. The article frames the combination as a possible search…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This screen narrows the universe to stocks classified in the metaverse industry, then looks for a newly formed bullish KDJ crossover alongside a shortening negative MACD histogram on a 15-minute chart. The article interprets the KDJ cross as a possible turn…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This proposed Chinese stock screen selects shares whose daily high-low range exceeds 1%, whose KDJ J line has just crossed above D, and which have had more than two limit-up days within ten days. The text interprets a large range as evidence of volatility,…

EquitiesChina marketsTechnical indicatorsMomentum