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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,226 documents

SuperMind

This Chinese stock-screening example combines elevated price amplitude, at least five overlapping moving averages, and multiple limit-up sessions within a recent window. Its stated aim is to identify stocks with strong short-term activity and concentrated…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening example combines a turnover band, a maximum circulating share count, and weekly MACD above its zero line. The intended rationale is to focus on relatively active, smaller-float stocks whose trend indicator is positive. The post…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-selection example screens for shares whose current low is below the previous session's low and whose intraday high-to-low range exceeds a stated threshold. It also refers to a 2021 data condition. The accompanying Python example loops through a…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This note proposes screening Chinese stocks associated with the robotics theme, with turnover between 3% and 12%, a reversal-style price pattern, and circulating market capitalization below 10 billion yuan. The turnover range is intended to constrain trading…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note outlines a pre-open stock screen that combines price amplitude, auction-period order imbalance, large-order buying, market capitalization, and a 15-minute MACD histogram signal. The intended setup looks for large-order buying and a shortening MACD…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

This note describes a Chinese equity screening approach requiring the 20-day moving average to exceed the 120-day average, RSI to remain below 65, and capital-flow strength to rank from high to low. The moving-average relationship is used as a trend filter,…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note proposes screening Chinese A-shares using three signals: a positive but capped 10-day price gain, a weekly close crossing above its 30-week moving average, and daily position growth above 5%. It interprets the flow measure as evidence of investor…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This note describes a stock screen combining a 2019 dividend payout ratio above 25%, RSI below 65, and daily amplitude above 1%. It presents the dividend condition as a fundamental input and RSI and amplitude as technical measures of price strength and…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This note proposes screening stocks for daily amplitude above 1%, at least five converging moving averages, and a positive 10-day return below 35%. It frames the return band as a way to focus on shares with recent gains, while moving-average convergence and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note describes a Chinese equity screen combining a 3%–12% turnover range, a reversal pattern, and a close at the highest level over two days. Its rationale is to find shares with recent strength and trading activity. The article also mentions ranking…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This proposed Chinese equity screen selects stocks with current turnover between 3% and 12%, circulating shares capped at 5.5 billion, and prior-day turnover above 8%. The formula and Python example add a circulating market-value threshold above 10 billion…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed Chinese stock screen combines three conditions: turnover between 3% and 12%, membership in a robotics theme, and circulating market value below 10 billion yuan. It also selects for an arc-shaped price pattern, identified in the examples through…

EquitiesChina marketsTechnical indicatorsBreakout
SuperMind

This Chinese equity screening proposal filters stocks using a turnover range, a limit on circulating shares, and a minimum total share count. Its stated criteria are turnover from 3% to 12%, circulating shares no greater than 5.5 billion, and total shares of…

EquitiesChina marketsStatistics
SuperMind

This screen targets Shenzhen main-board stocks using positive price-to-earnings ratios below 29.01, price-to-book ratios below 3.11, and RSI below 65, together with a condition related to annual reports published during 2021. The code reference filters for…

EquitiesFactor investingTechnical indicatorsChina markets
SuperMind

This stock selection approach ranks by trading volume, then requires a positive return and an upward-sloping 30-day moving average. The article interprets higher volume as greater market attention, positive returns as evidence of recent price strength, and…

EquitiesTrend followingMomentumTechnical indicators
SuperMind

This stock screen combines three conditions: position growth today above 5%, price below 12, and a positive but limited gain over the prior 10 days. The article interprets position growth as a sign of incoming capital and the gain range as evidence of an…

EquitiesMomentumRisk managementChina markets
SuperMind

This Chinese equity screening approach sorts stocks by capital strength, which the article associates with indicators such as turnover and volume ratio. It filters for turnover above 2% and below 9%, then requires at least two limit-up sessions during the…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese stock screen ranks candidates by capital strength, using measures such as turnover and volume ratio as signs of activity and investor attention. It then requires at least two limit-up sessions within the past 500 days, market capitalization…

EquitiesChina marketsMomentumBreakout
SuperMind

This Chinese stock-screening note combines three technical conditions: RSI below 65, a current high equal to the highest high across two days, and a shortening green MACD histogram bar on a 15-minute chart. It supplies indicator formula references and a…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening note selects stocks with turnover between 3% and 12%, a candlestick pattern described as a reversal or engulfing move, and a prior-day 9:15 matched price at the down-limit. It provides a formula-style condition and a Python…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This A-share screening idea ranks stocks by relative volume and selects the ten highest, then filters for a positive but capped return over ten days and at least two limit-up events within a 500-day lookback. The post presents these conditions as proxies for…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This document describes an A-share stock screen combining a large-capitalization threshold, the presence of an outstanding convertible bond, intraday range, and a price check around 9:25. The accompanying formula and Python example add conditions including a…

EquitiesChina marketsTechnical indicatorsRisk management