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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

12,140 documents

MQL5 code base

The MACD Squeeze indicator adapts the squeeze concept to a MACD histogram. It identifies a potential trading zone when Bollinger Bands contract inside Keltner Bands, using the compression as a condition for deciding when to focus on the MACD signal. The…

Technical indicatorsVolatilityMomentum
SuperMind

This document describes a Chinese stock screen combining turnover, a robot-industry theme, tradable market value, price change, and large-order flow. Its stated target is robot-related stocks with turnover between 3% and 12%, tradable capitalization below 10…

EquitiesChina marketsMomentumMarket microstructure
MQL5 code base

This document explains a custom MetaTrader 5 MACD indicator that adapts its smoothing to market conditions. It calculates the squared Pearson correlation between closing prices and bar index over a configurable lookback, then uses that value to blend two…

Technical indicatorsMomentumTrend followingStatistics
SuperMind

This post describes a short-term A-share screening approach that combines daily price range, robotics-related business exposure, a circulating market-cap ceiling, and a positive recent return filter. It also proposes adding industry and valuation or…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share stock screen combines a positive MACD reading, positive trailing P/E, and a control-position ratio above 21. It is intended to run before the market opens each trading day. The document explains the MACD condition as a way to identify strength,…

EquitiesTechnical indicatorsMomentum
SuperMind

The document presents a Chinese stock-screening idea that combines three technical conditions: at least five moving averages converge, the KDJ indicator has just formed a bullish crossover, and the 30-day average is rising or flat. It interprets clustered…

EquitiesTechnical indicatorsMomentum
SuperMind

This post describes an A-share screening rule based on turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a stated control-strength condition above 21. It presents the screen as a combination of trading activity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The article outlines an A-share stock selection screen combining turnover, company size, profitability, and past price-limit events. It selects shares with turnover between 3% and 12%, market capitalization below 10 billion yuan, no reported loss, and at…

EquitiesChina marketsMomentumFactor investing
BigQuant

This article examines whether financial factors such as value, size, profitability, investment, and momentum can be timed using predictive signals. It groups candidate signals into financial conditions, economic conditions, investor sentiment, factor…

Factor investingEquitiesMomentumSentiment
SuperMind

The post proposes a stock screen that combines a recent increase in institutional buying, weekly MACD above its zero line, and a high historical dividend payout ratio. It interprets the buying measure as evidence of institutional interest, weekly MACD as a…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document describes a daily Chinese equity screen combining three conditions: turnover between 3% and 12%, the product of price change and net large-order volume above zero, and MACD above zero. It presents the rule as a way to select stocks with…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share stock screen combines a 14-period RSI below 65 with a positive prior-day main-fund net inflow. The stated rationale is that a relatively lower RSI may indicate rebound potential, while the fund-flow condition adds a capital-flow filter. The…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese equity screening idea combines three conditions: the 20-day moving average must exceed the 120-day moving average, the stock must have recorded at least two limit-up sessions in the prior 500 days, and its volume ratio must rank among the top…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This short-term stock-selection proposal combines three conditions: MACD above zero, upward separation of the day’s moving averages, and an opening auction return between -2% and 5%. The indicators are intended to capture positive price momentum and…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese stock-selection post describes a screen for companies with positive MACD, year-over-year net profit growth above 20% and at most 100%, market capitalization below 10 billion yuan, and no reported losses. Its rationale is to combine price…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese stock-screening example combines three filters: a metaverse concept label, a close above the previous session’s low, and a recent high-price move intended to identify a limit-up event. It presents equivalent indicator and Python-style…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Supermind community post proposes selecting equities with RSI below 65, free-float market capitalization between 5 billion and 10 billion yuan, and a “main uptrend start” condition. It defines the latter through a price position within the recent…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note presents a Chinese equity screen using four conditions: amplitude above 1, current volume above 10,000 lots, a higher open, and the 20-day moving average above the 120-day moving average. It interprets amplitude as a measure of price activity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a basic Chinese equity screen that selects stocks with daily amplitude above 1, prior-day turnover above 60 million, and price above its five-day moving average. It frames the filters as a combination of price activity, trading liquidity,…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This post describes a stock screen pairing a minimum daily trading range with return on equity above a threshold for five consecutive years and at least one large one-day gain during a recent trading window. The intended combination seeks companies with…

EquitiesChina marketsFactor investingMomentum
SuperMind

This post proposes a Chinese stock screen using three filters: a turnover-ratio ranking among the top 100 stocks, a positive but capped return over the past ten days, and an opening price gain below a stated ceiling. The intended idea is to combine relative…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This April 2020 market note combines valuation, trading activity, sentiment, sector flows, and style factor monitoring to assess Chinese equities. It describes subdued market turnover and relatively low overall valuations, while agriculture-related stocks…

EquitiesChina marketsFactor investingMomentum