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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
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

22,592 documents

SuperMind

This document presents an A-share selection rule combining a metaverse-sector classification, elevated prior-day turnover, and a stock-code prefix. Its final stated logic also ranks candidates by market value and selects the top portion. The accompanying…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note proposes a short-term A-share screen requiring price amplitude above 1%, a daily decline between 4% and 5%, and a sequence of higher recent lows. The rising-low condition is intended to identify stocks whose short-term price floor is moving upward…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This note outlines an A-share stock screen based on daily price amplitude above 1%, a share price of 18.5 yuan, and a rising K value from the KDJ stochastic indicator. It presents the amplitude threshold as a way to find stocks with notable price movement…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a daily A-share stock screen combining three filters: MACD above its zero line, a share price below 12 yuan, and previous-day trading value above 60 million yuan. It says the screen is run before the market opens and presents the turnover…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This Chinese-language event listing outlines a dynamic trading approach for timing exchange-traded funds. It identifies three components: selecting a pool of highly liquid ETFs, ranking candidates with multiple momentum dimensions, and adjusting the approach…

EquitiesMomentumTechnical indicatorsExecution
BigQuant

This Chinese equity market report summarizes sector performance, index and industry valuations, market breadth, fund positioning, and an intermediate-term trend model. It reports that building materials, agriculture and forestry, utilities, light…

EquitiesChina marketsMomentumTechnical indicators
Qlib

This configuration describes a Qlib experiment using a graph attention model, GATs, with an LSTM base model to predict near-term returns for CSI 300 constituents. It sets Chinese market data, defines a close-to-close forward return label, normalizes features…

EquitiesChina marketsMachine learningBacktesting
SuperMind

This post presents a Chinese equity screen based on price amplitude above 1%, excluding Beijing-listed shares, and auction turnover above 0.26%. Its proposed refinement also filters for prices within 2% of a 60-day moving average and adds positive valuation…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post outlines a Chinese stock screen using daily amplitude, a reversal-style candle condition, and a fixed closing price of 18.5 yuan. It provides both an indicator formula and Python example, with the latter also invoking candlestick pattern functions.…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This post describes a Chinese equity screen combining daily price movement, trading activity, and valuation. It selects stocks with amplitude above 1%, current volume above 10,000 lots, a higher open, and Shenzhen main-board listing, while requiring…

EquitiesChina marketsVolatilityFactor investing
SuperMind

The document proposes screening equities for a daily high-to-low range above one percent, a reversal or engulfing-style pattern, and then sorting selected names by a popularity measure. It frames range as a way to find volatile stocks, the pattern as a…

EquitiesTechnical indicatorsVolatilitySentiment
SuperMind

The document describes a stock screen combining membership in the metaverse sector, a minimum circulating market capitalization, and weekly MACD above the zero line. Its stated rationale is to find larger companies in that sector whose trend indicator is…

EquitiesTechnical indicatorsTrend followingChina markets
SuperMind

This equity screen looks for stocks with turnover in a specified range, a rising K value from the KDJ indicator, and greater displayed volume at the best bid than at the best ask. The article explains these as filters for trading activity, short-term…

EquitiesTechnical indicatorsMarket microstructure
SuperMind

This stock-screening idea combines daily range, a rising-bottom condition, and three consecutive declining closes. The article also gives a more specific indicator version using trend and Bollinger Band filters, then proposes selling when price or a candle…

EquitiesTechnical indicatorsMean reversionRisk management
SuperMind

This post describes an A-share stock screen combining a daily price-amplitude threshold, a nonempty convertible-bond name field, and a company classification filter that can be configured for criteria such as industry or state ownership. It proposes ranking…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This stock-selection proposal combines three filters: RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%, and exclusion of stocks that hit the daily limit-up on the prior day. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a stock screen that combines an amplitude threshold above 1, a MACD reading above its zero line, and a closing price equal to 18.5 yuan. It frames amplitude as a measure of price movement and MACD’s position as a bullish signal, while…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

The research summary argues that conventional earnings multiples may be weak valuation tools for property developers because project-based results can be uneven and past earnings may not predict future performance well. It proposes using inventory as a…

EquitiesChina marketsFactor investingBacktesting
SuperMind

This post describes a Chinese stock selection rule that combines a daily price-range threshold, a newly formed KDJ crossover, and a weekly moving-average trend condition. The intended portfolio contains stocks whose high-low range exceeds one percent, whose…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This research summary examines China’s medical imaging equipment market and United Imaging’s position as a domestic supplier. It presents demand growth as supported by low equipment availability relative to developed markets and policy efforts to expand…

EquitiesChina marketsFactor investingRisk management
SuperMind

The post describes a Chinese equity screen for stocks in the metaverse theme, combining a short-term price condition with a longer moving-average trend filter. Its stated rationale is that prices above a five-day average may reflect near-term strength, while…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document proposes a Chinese stock screen focused on companies classified in the metaverse sector. It combines a rounded-bottom, or arc-shaped, price pattern with exclusion of special-treatment stocks and an early-morning selection of five candidates…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This document outlines a technical screen for Chinese stocks using three conditions: at least five moving averages converge, the stock did not close at its daily price limit on the previous day, and its 30-day average is rising. The intended interpretation…

EquitiesChina marketsTechnical indicatorsRisk management
FMZ forum

This essay argues that systematic, rule-based investing may be especially useful in China’s equity market, which the author characterizes as unusually speculative and shaped by short-term trading, policy shifts, and weak alignment between some controlling…

EquitiesChina marketsBacktestingRisk management