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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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 stock-selection note combines a metaverse-industry filter with two price-trend conditions: the 30-day moving average must be rising, and the share price must be above its five-day moving average. Its sample implementation also ranks qualifying shares by…

EquitiesChina marketsTrend followingTechnical indicators
SuperMind

This Chinese stock-selection note describes a screen for shares with amplitude above one, excluding special-treatment stocks, and requiring that the prior session was not a limit-up day. It also invokes a named “five-step limit-up” method, but does not…

EquitiesChina marketsBreakoutTechnical indicators
SuperMind

The article proposes a Chinese equity screening rule that ranks stocks by trading heat, then filters for an RSI below 65 and at least one limit-up session during 2021. Its code example retrieves daily data, computes a 14-period RSI, checks for a qualifying…

EquitiesTechnical indicatorsMomentumBacktesting
SuperMind

This note describes a stock screen requiring daily price amplitude above 1, MACD above its zero line, and a positive price-to-earnings ratio. The conditions aim to combine elevated price movement, a bullish technical signal, and a company reporting positive…

EquitiesTechnical indicatorsVolatilityStatistics
SuperMind

This note presents a China A-share selection screen focused on metaverse-related stocks. Its final criteria combine a volume ratio between 1.5 and 6, turnover above 3%, a prior close above the 10-day moving average, an opening price below the prior close, a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock selection note describes a screen for beverage and alcohol import-export companies. It combines turnover between 3% and 12% with prior-day trading activity above the stated 60 million threshold. The article also gives formula and Python examples…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This stock-screening method combines a 14-period RSI below 65, three consecutive bearish daily candles, and a positive daily MACD condition. The document presents the combination as a way to find shares with recent short-term weakness while retaining a…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

The document proposes screening Chinese equities for three conditions: price amplitude above a threshold, the close above its five-day moving average, and a positive Morning Star candlestick signal. It presents the combination as a way to find stocks with…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This document describes a Chinese equities screening rule combining price amplitude above 1, a nonempty name for outstanding convertible bonds, and a 2019 dividend ratio above 25%. It presents the screen as a way to find volatile stocks with stronger company…

EquitiesChina marketsVolatilityFactor investing
SuperMind

This stock screen combines three technical conditions: daily amplitude above a stated threshold, a positive weekly MACD histogram, and at least five moving averages meeting a convergence condition. The post describes these as a way to find volatile stocks…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document proposes a Chinese stock screen combining market capitalization below 10 billion yuan, no reported losses, a convertible-bond-related name field, and at least five moving averages that converge. It suggests using 5-, 10-, 20-, 50-, and 200-day…

China marketsEquitiesTechnical indicatorsTrend following
SuperMind

The document describes a Chinese equity screen that combines a daily price range threshold, current trading volume above 10,000 lots, a high opening price, and at least one limit-up event within the preceding 25 days. It presents these conditions as a way to…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen combines an RSI threshold below 65, a product of price change and a large-order flow measure, and membership in the metaverse theme. The article presents the components as technical, capital-flow, and market-theme filters. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines amplitude above 1, exclusion of stocks marked ST, selection before 10 a.m., a five-session closing-price high, and positive return. Its sample implementation estimates amplitude from the day’s high and low relative to the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This Chinese equity screen combines three short-term signals: daily amplitude above 1%, net inflow from large orders in the afternoon, and a three-session limit-up streak ending the previous day. It interprets amplitude as evidence of price movement,…

EquitiesChina marketsMomentumVolatility
SuperMind

This document describes a Chinese A-share screening rule that combines turnover, a newly formed KDJ bullish crossover, and a rising-trend condition. Its stated turnover band is 3% to 12%. The referenced formula also checks volume trend and a positive…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed Chinese stock screen combines a price-amplitude threshold, a top-five ranking by the day’s auction amount, and a focus on companies associated with the metaverse theme. The article frames the first two conditions as ways to find active stocks…

EquitiesChina marketsSentimentMomentum
SuperMind

This article proposes screening Chinese-listed stocks by combining moving-average conditions, a share-concentration threshold, a market-cap ceiling, and a requirement that the company not be loss-making. It presents moving-average alignment as a way to…

EquitiesTechnical indicatorsFactor investingChina markets
SuperMind

This proposed A-share stock screen combines a price-range condition, three consecutive daily limit-up moves ending the previous day, and a company-type filter. Its rationale is that larger price movement may indicate active trading and repeated limit-ups may…

EquitiesMomentumChina marketsBacktesting
SuperMind

The document explains backtesting as the simulation of a strategy on historical market data to assess returns, risk, and stability. It outlines a workflow from obtaining and checking data, coding rules, and setting dates, capital, fees, and slippage through…

BacktestingRisk managementPortfolio constructionExecution
SuperMind

The document describes a Chinese equity screening rule that combines three signals: more than two limit-up sessions in the past ten trading days, positive institutional activity, and a latest-day position increase share above 5%. It interprets these…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese equity screen combines a daily amplitude threshold, a reversal or engulfing-style candle pattern, sustained return on equity, and a valuation check against the industry average. The refined rules specify a pattern within the most recent three…

EquitiesChina marketsTechnical indicatorsFactor investing