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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

12,226 documents

SuperMind

This technical stock screen looks for a daily high-low range above one percent, a weekly MACD above zero, and a newly formed bullish KDJ crossover. The conditions combine a measure of price movement, a broader trend filter, and a timing signal. The document…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection method combines positive MACD readings with a qualitative screen for favorable company characteristics. It treats a positive MACD as a sign of expansion and a positive weekly MACD as evidence of an overall upward trend. The accompanying…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document proposes a Chinese stock screen based on daily price range, a record of strong return on equity, and a prior-session opening auction price at the lower price limit. The initial conditions specify a range greater than one, ROE above 15% for five…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This document describes a Chinese stock selection screen combining buying-flow measures with a moving-average trend filter. Its stated conditions include today’s position-increase ratio above 5%, large-order net volume above 0.05 for at least three…

China marketsEquitiesMomentumTechnical indicators
SuperMind

The post proposes screening Chinese stocks in the metaverse theme using an opening price-change threshold and a candlestick reversal condition called a Morning Star. Its stated intent is to identify candidates for a potential oversold rebound. It also…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

The post outlines a Chinese stock-selection screen combining high capital strength, market capitalization below 10 billion yuan, positive earnings, and a nonempty name for an outstanding convertible bond. It frames capital strength as a way to gauge money…

EquitiesChina marketsFactor investing
SuperMind

The document outlines an equity screening idea that combines membership in the metaverse industry, a rounded-bottom chart pattern, and recent institutional accumulation. Its final rule specifies institutional purchases totaling at least 10 million shares…

EquitiesTechnical indicatorsChina markets
SuperMind

This short-term stock screen selects shares with amplitude above one, current volume above 10,000 lots, a higher open, and a reversal pattern described as an engulfing move. The post treats amplitude and volume as signs of active trading, the higher open as…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This document describes a Chinese stock selection rule combining daily price movement, a reversal pattern, and trading activity. It selects stocks with an intraday high-to-low range above one percent, a reversal signal, and a threshold condition based on the…

EquitiesTechnical indicatorsChina markets
SuperMind

The document describes a Chinese-equity screening rule combining trading activity with price and trend conditions. It selects stocks with turnover between 3% and 12%, an opening price within roughly 5% above or below the ten-day moving average of closing…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection rule combines a turnover rate between 3% and 12%, a pattern described as an engulfing reversal, and amplitude above 1. The article presents turnover as a liquidity and activity filter, the reversal pattern as a possible trend-change…

EquitiesTechnical indicatorsMean reversionVolatility
SuperMind

This Chinese stock screen selects shares with amplitude above 1, an upward-moving-average condition, and price above the five-day moving average. The stated rationale is to find stocks showing larger recent price movement and an upward price trend. The…

EquitiesTechnical indicatorsMomentum
SuperMind

The document presents a daily stock screen for A-shares that excludes Beijing-listed stocks, keeps names with turnover between 3% and 12%, and selects those whose price change is greater than -5% and below 2.6%. It includes a formula-style expression for…

EquitiesChina marketsTechnical indicators
SuperMind

The note describes a workflow for handling large datasets or repeated data requests during quantitative research. Such requests can slow backtests or cause errors, so it recommends downloading the required data into the research environment first and then…

BacktestingEquities
SuperMind

The document proposes an equity screen combining three conditions: amplitude greater than one, a prior day 9:15 matching price at the limit-down level, and MACD above zero. It presents the first condition as a measure of price movement, the limit-down match…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection note proposes screening for shares with a daily high-low range above 1% of the prior close, a weekly MACD above its zero line, and exclusion of the STAR Market. The intended combination uses recent price movement and a longer-horizon…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening note describes a rules-based selection process using RSI below 65, a circulating market capitalization between 5 billion and 10 billion yuan, and a revised ownership-concentration range of 20% to 50%. It also references a…

EquitiesChina marketsTechnical indicatorsPosition sizing
SuperMind

This Chinese stock-screening example selects shares with turnover between 3% and 12%, a rising DEA condition, and a price move below 6% at the 9:25 screening time. It provides a formula-style expression and a Python sketch that filters turnover, calculates a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This Chinese equity screening example selects stocks associated with beverage and alcohol imports or exports, turnover from 3% to 12%, and a rising DEA line. The post describes DEA as a MACD-related technical measure and supplies formula references for…

China marketsEquitiesTechnical indicatorsMomentum