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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

12,140 documents

BigQuant

This Chinese-language report summary examines intraday price, volume, and trading characteristics using minute data to build factors and compare their behavior in stocks and futures. The factor families include return-distribution statistics such as realized…

EquitiesFuturesHigh-frequency tradingFactor investing
Amberdata research

This research summary compares high-frequency factors built from minute data in stocks and futures. It groups signals into return-distribution measures, intraday volume patterns, price-volume relationships, order-flow measures, and trend strength. Reported…

EquitiesFuturesHigh-frequency tradingFactor investing
SuperMind

This post outlines a technical screen for Chinese stocks in the metaverse theme. It requires the stock’s price to be above its five-day moving average and applies a rule intended to identify an arc-shaped price pattern. The document describes these…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a daily, after-close screen for Chinese equities. It selects stocks whose MACD line is above zero, ranks candidates by individual-stock popularity, and restricts turnover to between 2% and 9%. It explains the indicators as rough proxies…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes a stock-selection screen focused on the metaverse concept. It requires the 30-day moving average to be rising and filters stocks using a measure combining the prior turnover rate with the ratio of today’s auction volume…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a stock selection rule that combines MACD above zero, a favorable company classification, and previous-day actual turnover between three and twenty-eight percent. It interprets the MACD condition as a positive technical signal and the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This post proposes a Chinese equity screen combining recent price-limit events, trading activity, and an increase in position holdings. Its stated initial conditions are more than two limit-up days within ten days, prior-day turnover above sixty million, and…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This proposed screen targets stocks associated with the metaverse theme and combines an arc-shaped price pattern with a rising K value from the KDJ oscillator. The explanation treats a rising K value as a sign of improving bullish momentum. The formula and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a stock screen combining daily amplitude above a stated threshold, a positive weekly MACD signal, and first-level buy volume greater than sell volume. It presents the buy-versus-sell volume condition as a way to gauge near-term trading…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

The document presents a Chinese A-share screening rule that selects stocks with a daily high-low range exceeding one percent, at least one limit-up session in the prior 25 trading days, and a high ranking on a large-order net-volume measure. The combined…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equities screen combines three conditions: a shrinking negative MACD histogram on a 15-minute chart, at least two limit-up sessions within the prior 500 days, and convergence among at least five moving averages. The article interprets…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The proposed screen seeks five non-ST Chinese stocks before 10:00 using price amplitude above 1 and prior-day trading value above 60 million, then ranks candidates by current percentage change. The article describes these conditions as a way to focus on…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock screen combines a positive MACD condition with a share price below 12 yuan and a recent high criterion described as the stock's high being the highest over two days. It proposes screening before the trading session, although the reference Python…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

This indicator displays the prior candle range alongside a 10-period Average True Range (ATR) and a 20-period exponential average of ATR. It changes the text color when ATR rises above its smoothed average, presenting that condition as a possible sign of…

Technical indicatorsVolatilityMomentum
SuperMind

The document describes a stock screen combining three conditions: amplitude above 1, three consecutive limit-up sessions through the prior day, and a price below 12 yuan. It presents the pattern as a way to find active, high-attention stocks and gives a code…

EquitiesMomentumChina marketsTechnical indicators
SuperMind

This proposed A-share screen combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward spread in moving averages. The stated moving-average rule compares the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and at least one limit-up event in the previous month. The article characterizes the setup as a momentum-oriented search for stocks that have recently shown…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese equity screening idea selects stocks with daily amplitude above 1, a listing history longer than three years, and a rising DEA indicator. The rationale is that larger price ranges may coincide with greater trading activity, while excluding…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-screening example combines a metaverse concept filter with an upward-sloping thirty-day moving average and a weekly five-day moving average crossing above the ten-day average. It frames the conditions as a way to find stocks with both sector…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a simple stock screen combining three conditions: daily amplitude above 1%, the current high matching the highest high over two days, and a stock code beginning with 60. The first two conditions target recent price movement and a…

EquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-market screening rule selects stocks whose codes begin with 60, whose turnover rate falls within a specified band, and whose ten-day return is positive but below a stated ceiling. The post frames turnover as a liquidity filter and the return…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese-market stock screen combines price behavior and a control-related measure with valuation and profitability filters. Its initial criteria select stocks with amplitude above a threshold, today’s control measure above a threshold, and a positive…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The proposed equity screen selects stocks with an RSI below 65, seven consecutive sessions in which the close is no higher than the open, and strong combined large and extra-large buy volume during the opening auction. It combines a momentum indicator, a run…

EquitiesTechnical indicatorsSentimentMomentum