🇨🇳 A-share RPS Relative Price Strength Ranking

Covers 5,200+ A-shares in Shanghai and Shenzhen, automatically updated daily after close with RPS20/50/90/120/250 five-cycle rankings

View real-time A-share RPS ranking → Whole-site focus · Market Trend🧭 Market trend from A-share industry strength →Four-market complete industry RPS probability distribution, weekly updated macro observation.

5,200+

Covered A-share quantity

RPS periods

Daily

Data update frequency

Free

Basic Features

What is A-share RPS Ranking?

RPS (Relative Price Strength, relative price strength)The core indicator of the CANSLIM stock selection method proposed by William O'Neil in 'How to Make Money in Stocks'. A-share RPS ranking measures the percentile of each Shanghai-Shenzhen A-share's price increase relative to all A-shares in a specific time cycle.

The RPS value range is 1 to 99. RPS = 85 indicates that the stock's price increase exceeded that of 85% of stocks among all A-shares. O'Neil's research found that the average RPS value of the largest bull stocks historically reaches 87 before launch, meaning it has already outperformed 87% of stocks in the market.

A-share RPS Five-Cycle Explanation

RPS20(Approx. 1 months): Reflects recent short-term momentum, suitable for swing trading reference
RPS50(Approx. 2.5 months): Medium to short-term strength, filtering short-term noise
RPS90(Approx. 4.5 months): Medium-term trend strength, commonly used reference in CANSLIM
RPS120(Approx. half a year): O'Neil's most commonly used core cycle, half-year price ranking
RPS250(Approx. 1 years): Long-term strength, reflecting annual capital preferences

Strength across multiple periods at once (RPS20/50/90/120 all ≥ 80) is often used as a reference condition for research screening. It indicates the stock has kept outperforming the market over the short, medium and long term; this only describes past relative strength and is not investment advice.

How to Use RPS to Screen A-Share Strong Stocks

Based on the CANSLIM stock selection method, the RPS standards for screening A-share strong stocks:

Basic Conditions: RPS120 ≥ 80 (Outperformed 80% of A-shares in the past six months)
Strengthening Conditions: RPS20 ≥ 80 and RPS50 ≥ 80 (recent momentum confirmation)
Multi-period resonance: all 5 periods ≥ 80 (a research screening condition only, not investment advice)
Combined Conditions: Volume expansion + technical pattern breakout (cup handle pattern, platform breakout, etc.)

A-share RPS Ranking Example (Top RPS90)

#	Code	Name	RPS20	RPS50	RPS90	RPS120	RPS250
1	688146	Zhong Ship Special Gas	34.95	99.98	100.00	100.00	99.88
2	603823	Lily	99.69	100.00	99.96	99.83	99.20
3	688669	Ju Shi Chemical	98.97	99.94	99.83	99.54	98.68

* The above data is for illustration only, actual ranking updated daily.View real-time ranking →

Related A-share RPS Resources

A-share RPS Complete Guide — Detailed introduction to the calculation method and usage tips of A-share RPS
A-share Historical Bull Stocks RPS Recount — RPS launch signal analysis for 8 bull stocks such as Zhong Ship Special Gas, Hong Jing Technology, etc.
What is RPS? — Complete teaching of the RPS indicator
CANSLIM stock-selection method — William O'Neil's Complete Stock Selection System
Global RPS Rankings Across Four Markets — One-Stop Query for A-Shares, U.S. Stocks, Hong Kong Stocks, and Japanese Stocks

How is the A-Share RPS Ranking Calculated?

A-Share RPS Ranking is calculated based on the actual closing prices of 5,212 stocks in the Shanghai and Shenzhen markets. For each stock, the price change range over the specified period (50 120 250 trading days) is taken, then all stocks in the market are sorted by price change from highest to lowest, and converted to percentiles from 0 to 99. RPS 90 means this stock's price change ranks in the top 10% of A-shares. This site automatically updates after each trading day's close, excluding suspended and insufficient data stocks to ensure horizontal comparability.

Data snapshot date: 2026-10-19　|　For the calculation method, see RPS methodology、 Four-market data coverage archive　|　 For editorial and data standards, see Research notes