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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 post outlines an A-share stock screen using daily amplitude, opening-auction price and order-flow signals, and recent returns. Its stated criteria include amplitude above 1, a positive but less than 35% ten-day gain, and a threshold for large or…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This Chinese-language post describes an equity screen requiring a daily price range threshold, company scale above a stated minimum, and the 20-day moving average above the 120-day moving average. It frames the moving-average relationship as a trend filter…

EquitiesTrend followingTechnical indicatorsRisk management
SuperMind

This Chinese-language post outlines a stock screen combining a large daily trading range, at least one strong single-day gain within a recent 25-session window, and a specified share-price level. It also sketches formula and Python implementations, though…

EquitiesMomentumVolatilityTechnical indicators
SuperMind

This stock-screening proposal combines a metaverse industry filter with a rounded-price-shape setup and a rise in trading volume. Its reference conditions include turnover within a specified band, price and moving-average relationships over recent periods, a…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This stock-selection rule combines a 14-period RSI below 65, three consecutive declining sessions, and positive Chaikin Money Flow over 14 periods. The proposed interpretation is that recent weakness may leave room for a rebound while positive money flow…

EquitiesTechnical indicatorsMean reversionMomentum
SuperMind

This post proposes an A-share stock screen that combines three conditions: daily amplitude above one, the opening price near the 10-day moving average, and a positive institutional-flow measure. Its examples define “near” as within five percent of the…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes an A-share screening rule that combines daily price movement, trading range, and a measure of large-order net flow. The stated criteria are an amplitude above one, a share price of 18.5 yuan, and a product of price change and very large…

EquitiesChina marketsTechnical indicators
SuperMind

This Chinese stock selection strategy combines four filters: daily high-to-low amplitude above 1%, a robot-related industry concept, circulating market capitalization below 10 billion yuan, and appearance on the previous day’s trading activity list. It also…

EquitiesChina marketsVolatilityEvent-driven
SuperMind

This Chinese-language post describes a short-term stock selection rule combining three filters: RSI below 65, share price below 12 yuan, and more than two limit-up sessions within the prior ten days. It frames the screen as a way to find relatively…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This overview argues that no programming language is best for every algorithmic trading system. The choice depends on strategy frequency and volume, data needs, performance targets, development and maintenance costs, and the functions the system must…

ExecutionHigh-frequency tradingBacktestingPortfolio construction
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with an external-to-internal trading volume ratio above 1.3 and positive net buying by major participants during the opening auction. The page also gives example implementations and adds filters in…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese equities screening idea combines several filters: exclude stocks marked ST, require an amplitude above one, apply a five-session closing-price high condition, and select stocks whose intraday low is down within a narrow four-to-five percent band…

EquitiesChina marketsMean reversionBacktesting
SuperMind

This post describes a Chinese equity screen for stocks associated with the metaverse theme, with a close above the previous day’s low and a code beginning with 60. It combines a thematic classification, a simple price condition, and an exchange-listing code…

China marketsEquitiesTechnical indicatorsPosition sizing
SuperMind

This post outlines an equity screen requiring MACD above zero, upward divergence among current moving averages, and a positive price-to-earnings ratio. The stated rationale is to combine a bullish technical condition with rising price trends and a basic…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post describes a Chinese equity screen combining a daily high-to-low amplitude threshold, a minimum circulating market capitalization, and a positive weekly MACD histogram. It presents the conditions as a way to focus on larger listed companies with…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language strategy post outlines a mainland China equity screen combining capital strength, upward divergence of moving averages, and a profitability filter. The initial title specifies companies with market capitalization below 10 billion yuan…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese equity screen selects stocks with daily price amplitude above a threshold, a positive but capped ten-day return, and an appearance on the previous day’s trading activity list. The post frames amplitude as a volatility measure, the return band as…

China marketsEquitiesMomentumVolatility
SuperMind

This stock-selection idea combines three filters: MACD above its zero line, a share price below a stated threshold, and at least two limit-up sessions within a historical lookback. The post says the screen is run before the market opens each trading day. It…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The proposed Chinese equity screen combines a positive MACD reading with order-book and company filters: first-level bid volume must exceed first-level ask volume, market capitalization must be no more than 10 billion yuan, and net profit must be positive.…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock screen selects shares when MACD is above zero, the five-day moving average crosses above the ten-day average, and first-level bid volume exceeds ask volume. The article presents the conditions as a combination of trend signals and a measure of…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

The proposed stock screen combines three short-term technical conditions: daily amplitude above 1, a rising or expanding moving-average configuration for the day, and a shortening negative MACD histogram on a 15-minute chart. The document interprets the…

EquitiesTechnical indicatorsMomentumChina markets