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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

12,140 documents

SuperMind

This document proposes an A-share stock screen requiring amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a weekly five-period moving average crossing above the ten-period average. The author frames these filters as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a Chinese A-share screening approach combining daily price movement, a newly formed KDJ crossover, and a ranking based on trading activity. Its stated rationale is that larger intraday ranges may offer more opportunity, a fresh…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language strategy note proposes screening stocks in a metaverse industry group when MACD, KDJ, and DMI indicators produce bullish crossovers together. It also applies a turnover filter. The discussion first gives a broader turnover interval,…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This document describes a stock screen using three conditions: daily amplitude above 1%, closing price below 20, and a rising MACD DEA line. Its referenced screening formula adds a minimum trading-amount filter and looks for DEA to cross above its prior…

EquitiesTechnical indicatorsMomentum
BigQuant

This summary of a Chinese brokerage factor-monitoring report compares recent performance across equity factors using several views: long-only excess returns, long-short returns, information ratios, and relative strength over roughly six months. Factors…

EquitiesFactor investingMean reversionMomentum
SuperMind

This stock screen selects shares with daily amplitude above 1%, a positive return over ten days that remains below 35%, and previous-day turnover above 8%. The document interprets amplitude as a measure of market movement, the bounded return as a way to…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection screen combines three technical conditions: daily amplitude above 1%, weekly MACD above zero, and at least one limit-up session within the previous 25 days. The document presents these as filters for volatility, positive trend…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes an A-share stock screen combining a price-amplitude threshold, a nonempty name for an outstanding convertible bond, and more than two limit-up sessions within a recent ten-day window. It proposes ranking qualifying stocks by limit-up…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen selects securities whose daily high-low range exceeds one percent, whose ten-day price gain is positive but below 35%, and whose codes begin with 60. The article interprets the range condition as a volatility filter and the recent return…

EquitiesChina marketsVolatilityMomentum
SuperMind

This stock-selection rule combines three filters: amplitude above 1, a positive weekly MACD-style histogram, and a nonempty name for an outstanding convertible bond. The document frames the amplitude as a volatility condition, the weekly signal as evidence…

EquitiesTechnical indicatorsMomentumVolatility
SuperMind

This stock-screening proposal combines a daily high-low range greater than 1%, a large-order net-flow measure, and a KDJ K-value change. It describes ranking candidates by KDJ change and frames the approach as a short- or medium-term technical screen. The…

EquitiesTechnical indicatorsMomentumMarket microstructure
SuperMind

This stock screen combines three filters: membership in the metaverse theme, a previous-day price at or above the 250-day moving average, and an external-to-internal trade volume ratio above 1.3. The article interprets the long moving average as a trend…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The document describes a Chinese equity screening idea that ranks stocks by capital-flow strength, then selects companies with no losses, market capitalization below a stated threshold, and more than two limit-up sessions in the recent ten-day window. It…

EquitiesChina marketsMomentumTechnical indicators
BigQuant

This article proposes a qualitative decision framework based on comparing broad market strength with the strength of individual stocks. It organizes conditions into four cases: when both market and stock are strong, favor stock exposure; when the market is…

EquitiesMomentumRisk management
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, a 2021 date condition, and three consecutive limit-up sessions. Its final stated criteria also require trailing price-to-earnings below 30 and price-to-book below 5. The…

EquitiesVolatilityMomentumTechnical indicators
SuperMind

This Chinese stock-selection example targets companies in the metaverse industry whose opening price is near or above a ten-day moving average and whose reported daily position growth exceeds five percent. The article frames the moving-average condition as a…

EquitiesChina marketsTechnical indicatorsMomentum
FMZ forum

This Chinese stock-screening example combines three short-term filters: a daily high-low range above one percent, a large-order net-flow measure above a stated threshold, and an auction-related price change between negative two and positive five percent. It…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-market stock screen selects shares whose daily high-low range exceeds a threshold, that did not close at the upper price limit on the previous day, and whose current-day return is positive. The stated rationale is to avoid very quiet stocks,…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection approach combines a market-capitalization ceiling, positive profitability, recent limit-up activity, and a price-range condition. The stated idea is to find relatively small companies showing strong recent price action while excluding…

EquitiesMomentumBreakoutRisk management
SuperMind

This stock screen combines three consecutive declining sessions with a daily price range above one percent and a stated turnover-rate band of two to nine percent. The document presents the conditions as a way to find shares with short-term downward momentum…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This stock-screening method combines positive MACD readings with an upward arrangement of short-term moving averages. The document describes MACD as a way to identify positive price momentum and compares five-day and ten-day averages as a simple trend…

EquitiesTechnical indicatorsMomentum
SuperMind

This document describes an A-share stock selection screen combining daily price amplitude, a history of limit-up moves, and MACD above zero. It gives indicator conditions and a Python example using historical stock data. The intended idea is to focus on…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This short-term stock screen selects shares with amplitude above 1, ranks them by the day’s auction amount, keeps the top five, and requires positive net buying attributed to major participants. The article’s rationale is that large price movement and active…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note proposes a short-term A-share screen based on daily price range, relative volume, and a ranking for net large-order flow. The written rule calls for amplitude above one, relative volume between 1.5 and 6, and a high large-order net-volume ranking.…

EquitiesTechnical indicatorsMomentumRisk management