Skip to content

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

BigQuant

This post describes a Chinese equity strategy centered on buying leading stocks as they rise, alongside a separate strategy based on money flow. It says the approaches were used in simulated trading and reports that the money flow strategy had been traded…

EquitiesMomentumTechnical indicatorsEvent-driven
SuperMind

This A-share screening idea combines recent price strength with a moving-average condition. It looks for stocks with at least two limit-up sessions in the prior ten days, excludes stocks that closed at the limit-up level yesterday, and requires five…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese-market stock screen combines three criteria: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a high ranking by large-order net flow. The stated intent is to favor themed shares showing…

China marketsEquitiesSentimentMarket microstructure
Qlib

This document describes a data preparation workflow for daily risk estimates on China A-shares. For each date, it selects the CSI 300 constituents, gathers a rolling window of closing prices, calculates returns, and clips extreme returns at the…

China marketsEquitiesStatisticsRisk management
SuperMind

This A-share stock screen combines three conditions: turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and an indicated opening gain below 6%. The document presents the rules as a way to identify active stocks whose…

EquitiesChina marketsTechnical indicatorsBacktesting
SuperMind

This Chinese stock-screening post describes selecting equities using a mix of a technical indicator, company classification filters, and recent candle behavior. Its stated conditions include MACD above zero, exclusion of several company types, and three…

EquitiesTechnical indicatorsChina marketsBacktesting
SuperMind

This document proposes a Chinese stock screen combining daily price amplitude, a positive weekly MACD reading, and beverage or alcohol import and export data. Its stated logic looks for amplitude above 1, a bullish weekly histogram, and import values…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screen for stocks with turnover between 3% and 12%, excluding the STAR Market and selecting companies listed in 2021. It presents the turnover band as a way to focus on stocks with some trading activity that may still…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

The document describes an equity screen requiring MACD above zero, a positive price-to-earnings ratio, and three consecutive declining sessions. Its explanation treats positive MACD as a sign of an upward trend, positive P/E as a basic valuation sanity…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

The document describes a stock screen for companies whose codes begin with 60, with turnover between 3% and 12%, market capitalization below 10 billion yuan, and no losses in each of the prior three years. It frames these filters as a way to combine…

China marketsEquitiesFactor investingStatistics
SuperMind

This A-share selection rule combines daily amplitude above 1, a reported daily control measure above 21, and a specified drawdown range between roughly 4% and 5%. The article presents the conditions as technical and market-flow signals, interpreting…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This A-share screen combines RSI below 65, seven consecutive sessions with closes below opens, and previous-day actual turnover between 3% and 28%. The article explains turnover as a measure of trading activity and capital flow, using the band to avoid both…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This indicator represents a volume-adjusted CCI-style calculation as candles rather than a conventional line. It uses configurable settings for the CCI period, volume type, upper and lower levels, a point gap, and horizontal shift. The stated default levels…

Technical indicatorsVolatilityEquities
SuperMind

The document describes a stock screen combining three price conditions: amplitude above a threshold, a positive but capped ten-day return, and a run of consecutive declines. The stated rationale is to find volatile stocks that have recently risen without…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This post describes a Chinese equity screen using a capital-strength measure, moderate turnover, and historical revenue growth. Capital strength is illustrated as trading value divided by tradable market capitalization. The turnover range is above 2% and…

EquitiesChina marketsFactor investingStatistics
SuperMind

This Chinese stock screening proposal combines price movement, trading activity, and an institutional-flow measure. Its stated final criteria select shares with amplitude above 1, previous-day actual turnover between 3% and 28%, and institutional direction…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This post describes a short-term stock selection rule built from three technical conditions: daily high-low range above one percent, opening price within two percent of the 10-day moving average, and MACD below zero two sessions earlier. It presents the…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock screen combines membership in the metaverse theme with a long-term price filter and rising moving averages. It selects stocks whose price is above the 250-day moving average and whose 5-, 10-, 20-, 30-, 60-, 120-, and 250-day averages are each…

EquitiesTrend followingTechnical indicatorsChina markets
SuperMind

The article proposes a Chinese stock screen combining an upward-sloping 30-day moving average, positive recent position increases above a stated threshold, and the absence of a limit-up session on the previous day. Its rationale is to seek stocks with an…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The report outlines a holdings-based framework for classifying actively managed Chinese equity funds by market capitalization, growth, and value characteristics. It uses semiannual or annual full-portfolio holdings, standardizes style measures, and combines…

EquitiesFactor investingPortfolio constructionStatistics
SuperMind

This Chinese equity screen selects stocks with turnover between 3% and 12%, year-over-year growth in parent-company net profit above 20% and at or below 100%, and at least two limit-up days during the prior 500 days. It also excludes selected growth-market…

China marketsEquitiesMomentumFactor investing
SuperMind

This Chinese stock-screening idea combines three signals: a strong volume-to-float-market-cap ratio, a previous-day 9:15 auction match at the limit-down price, and shortening green MACD histogram bars on a 15-minute chart. The stated rationale is that a…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This Chinese community post describes an equity screen combining three criteria: rank stocks by volume ratio and retain the top 100, exclude ST-designated stocks and require circulating market value above 1 billion yuan, and select stocks with at least two…

EquitiesChina marketsMomentumTechnical indicators