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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

22,592 documents

SuperMind

This document describes a Chinese equity screen combining daily price range, past limit-up activity, and a weekly trend signal. It selects stocks with amplitude above 1, at least two limit-up days in the preceding 500 trading days, and a weekly red-bar…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This Chinese-language post outlines an equity screen that combines daily price range, five years of return on equity above 15%, and prior-day actual turnover between 3% and 28%. It presents the mix as a way to select shares with price movement, sustained…

EquitiesFactor investingTechnical indicatorsChina markets
BigQuant

This monthly review evaluates equity factors using information coefficient (IC) relationships with subsequent prices and market- and industry-neutral long-short returns. It reports that growth and turnover factors were relatively consistent over the latest…

EquitiesChina marketsFactor investingStatistics
SuperMind

This stock screen combines a metaverse theme classification, positive net buying attributed to major participants during the auction, and a technical trend condition. The article’s explanation and final selection rule specify that the previous close should…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

The document describes a Chinese stock selection screen that combines a turnover-rate range, a listing-year condition, and the presence or absence of an outstanding convertible bond name. Its stated final rule selects stocks with turnover between 3% and 12%,…

EquitiesChina marketsRisk managementBacktesting
SuperMind

This post outlines an equity screen requiring a minimum daily high-low range, positive afternoon large-order net flow, and a positive daily MACD value. It treats the range as a sign of trading activity, the order-flow measure as an indication of capital…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

The document describes a stock screening idea that combines a recent increase in buying activity, an outside-to-inside trading volume ratio above a threshold, and a shrinking green histogram on a 15-minute MACD display. The proposed interpretation is that…

EquitiesMomentumTechnical indicatorsMarket microstructure
BigQuant

The document presents volatility of volatility (VoV) as a proxy for uncertainty about an asset’s probability distribution, distinct from ordinary risk. It argues that investors tend to avoid stocks with greater ambiguity and may favor stocks whose prospects…

EquitiesVolatilityFactor investingHigh-frequency trading
SuperMind

This proposed stock screen combines a daily amplitude condition with a 15-minute MACD histogram condition: the histogram must remain below zero while becoming less negative. It also excludes stocks that closed at the daily limit-up level on the previous day.…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

This proposed stock selection method combines a minimum daily price range with two short-term flow conditions: large-order net inflow in the afternoon and positive net buying by major participants during the opening auction. It then selects the candidate…

China marketsEquitiesVolatilityMarket microstructure
SuperMind

This Chinese A-share stock screen combines a metaverse industry filter with two activity signals: a stock must have appeared on the market’s “Dragon-Tiger” list the previous day, and its count of institutional research visits over the past week must rank…

China marketsEquitiesSentimentEvent-driven
SuperMind

This Chinese stock screen combines three conditions: daily amplitude above 1, a positive ten-day return below 35, and prior-day auction turnover above 0.26. The article frames these as filters for volatility, moderate recent gains, and short-term trading…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock-selection recipe screens for shares with amplitude above 1 and a daily control measure above 21, then requires three technical indicators to show simultaneous golden crosses. The article describes amplitude and the control measure as proxies for…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen targets companies in a designated metaverse category whose latest close is above the prior close, with bullish conditions from MACD and moving averages. The final rules require DIF above DEA, a five-day average crossing above the ten-day…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document outlines a Chinese equity screen for stocks in the metaverse sector, using circulating market capitalization and historical returns as filters. Its initial description says to require market capitalization above a stated threshold and positive…

EquitiesChina marketsMomentumFactor investing
SuperMind

The document describes a Chinese stock selection screen combining a daily price range above 1% of the opening price, a high trading-volume threshold, and a positive opening gap. It frames these filters as a way to find active, liquid stocks where market…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The proposed stock-selection process ranks shares by volume ratio and keeps the top 100, then filters for a stated maximum circulating share count and an upward 30-day moving-average condition. The post explains these as proxies for trading interest, smaller…

EquitiesMomentumTechnical indicatorsChina markets
ProRealCode

The document defines a swing high or low by comparing a middle bar with the bars immediately before and after it. A swing high occurs when both the middle bar’s high and low exceed the corresponding values of both neighboring bars. A swing low occurs when…

EquitiesTechnical indicators
SuperMind

The document describes an equity screen seeking stocks with an intraday range of at least 1%, turnover above 2% and no more than 9%, volume above 10,000 lots, and an opening price close to the high. It frames these conditions as filters for volatility,…

EquitiesTechnical indicatorsVolatility
ProRealCode

The document defines a volume weighted moving average (VWMA) as the sum of each period’s closing price multiplied by its volume, divided by total volume over the same lookback. It recommends comparing the VWMA with a simple moving average (SMA) calculated…

Technical indicatorsEquitiesStatistics
BigQuant

This report reviews China’s digital finance industry as user growth matures and competition shifts toward retaining and serving customers and merchants. It compares finance apps across user scale, growth, market concentration, and engagement, and describes…

Multi-assetChina marketsEquities
SuperMind

This stock-selection idea combines three filters: price amplitude greater than 1, the 9:25 price gain below 6%, and revenue in 2021 more than 1.1 times revenue in 2018. It frames the filters as a blend of volatility, a short-term price condition, and…

China marketsEquitiesVolatilityFactor investing
ProRealCode

This indicator adapts Average True Range for comparing stocks with different share prices. Standard ATR is expressed in price units, so equal ATR readings can represent different relative moves for securities trading at different prices. The proposed…

Technical indicatorsVolatilityEquities
SuperMind

This note describes a Chinese stock screen combining a turnover-rate band of 3% to 12% with year-over-year growth in net profit attributable to parent-company shareholders between above 20% and 100%. It also calls for a “circular arc” indicator shape,…

China marketsEquitiesTechnical indicators