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  • Table of Contents
    • Overview
      • Why Analyze Securities?
      • Technical Analysis
      • Fundamental Analysis
      • Random Walk vs. Non-Random Walk
      • Asset Allocation and Diversification
      • John Murphy's 10 Laws of Technical Trading
      • John Murphy's "Charting Made Easy" eBook
      • Technical Analysis 101
        • TA 101 – Part 1
        • TA 101 – Part 2
        • TA 101 – Part 3
        • TA 101 – Part 4
        • TA 101 – Part 5
        • TA 101 – Part 6
        • TA 101 – Part 7
        • TA 101 – Part 8
        • TA 101 – Part 9
        • TA 101 – Part 10
        • TA 101 – Part 11
        • TA 101 – Part 12
        • TA 101 – Part 13
        • TA 101 – Part 14
        • TA 101 – Part 15
        • TA 101 – Part 16
        • TA 101 – Part 17
      • Irrational Exuberance
      • Cognitive Biases
      • Arthur Hill on Goals, Style and Strategy
      • Arthur Hill on Moving Average Crossovers
      • Multicollinearity
      • "The Trader's Journal" by Gatis Roze
        • Stage 1: Money Management
        • Stage 2: Business of Investing
        • Stage 3: The Investor Self
        • Stage 4: Market Analysis
        • Stage 5: Routines
        • Stage 6: Stalking Your Trade
        • Stage 7: Buying
        • Stage 8: Monitoring Your Investments
        • Stage 9: Selling
        • Stage 10: Re-Examine, Refine, Re-Enhance
        • Additional Reading
      • Bob Farrell's 10 Rules
      • Richard Rhodes' Trading Rules
      • Donchian Trading Guidelines
      • Why and How To Use Correlation
    • Chart Analysis
      • What Are Charts?
      • Support & Resistance
      • Trend Lines
      • Gaps and Gap Analysis
      • Introduction to Chart Patterns
      • Chart Patterns
        • Broadening Top or Megaphone Top
        • Double Top Reversal
        • Double Bottom Reversal
        • Head and Shoulders Top
        • Head and Shoulders Bottom
        • Falling Wedge
        • Rising Wedge
        • Rounding Bottom
        • Triple Top Reversal
        • Triple Bottom Reversal
        • Bump and Run Reversal
        • Flag, Pennant
        • Symmetrical Triangle
        • Ascending Triangle
        • Descending Triangle
        • Rectangle
        • Price Channel
        • Measured Move—Bullish
        • Measured Move—Bearish
        • Cup With Handle
      • Chart Types
        • Arms CandleVolume
        • CandleVolume
        • Elder Impulse System
        • EquiVolume
        • Heikin-Ashi Candlesticks
        • Kagi Charts
        • Renko Charts
        • Three Line Break Charts
        • MarketCarpets
        • Relative Rotation Graphs (RRG Charts)
        • Seasonality Charts
        • Yield Curve
      • Candlestick Charts
        • Introduction to Candlesticks
        • Candlesticks and Traditional Chart Analysis
        • Candlesticks and Support
        • Candlesticks and Resistance
        • Candlestick Bullish Reversal Patterns
        • Candlestick Bearish Reversal Patterns
        • Candlestick Pattern Dictionary
      • Point and Figure Charts
        • Point and Figure Basics
          • Introduction to Point & Figure Charts
          • Point & Figure Scaling and Timeframes
          • P&F Trend Lines
        • Classic Patterns
          • P&F Bullish Breakouts
          • P&F Bearish Breakdowns
          • P&F Signal Reversed
          • P&F Catapults
          • P&F Triangles
          • P&F Bull & Bear Traps
        • P&F Price Objectives
          • P&F Price Objectives: Breakout and Reversal Method
          • P&F Price Objectives: Horizontal Counts
          • P&F Price Objectives: Vertical Counts
        • Point & Figure Indicators
        • P&F Scans and Alerts
          • P&F Pattern Alerts
      • Chart Annotation Tools
        • Andrews' Pitchfork
        • Stock Market Cycles
        • Fibonacci Retracements
        • Fibonacci Arcs
        • Fibonacci Fans
        • Fibonacci Time Zones
        • Quadrant Lines
        • Raff Regression Channel
        • Speed Resistance Lines
    • Technical Indicators & Overlays
      • Introduction to Technical Indicators and Oscillators
      • Technical Indicators
        • Accumulation/Distribution Line
        • Alligator Indicator
        • Aroon
        • Aroon Oscillator
        • ATR Bands
        • ATR Trailing Stops
        • Average Directional Index (ADX)
        • Average True Range (ATR) and Average True Range Percent (ATRP)
        • Balance of Power (BOP)
        • Bollinger BandWidth
        • %B Indicator
        • Chaikin Money Flow (CMF)
        • Chaikin Oscillator
        • Chande Trend Meter (CTM)
        • CMB Composite Index
        • Commodity Channel Index (CCI)
        • ConnorsRSI
        • Coppock Curve
        • Correlation Coefficient
        • DecisionPoint Price Momentum Oscillator (PMO)
        • Detrended Price Oscillator (DPO)
        • Distance From Highs
        • Distance From Lows
        • Distance To Highs
        • Distance To Lows
        • Distance From Moving Average
        • Ease of Movement (EMV)
        • Force Index
        • Gopalakrishnan Range Index
        • High Low Bands
        • High Minus Low
        • Highest High Value
        • Linear Regression R2
        • Lowest Low Value
        • Mass Index
        • MACD (Moving Average Convergence/Divergence) Oscillator
        • MACD-Histogram
        • MACD-V
        • MACD-V Histogram
        • Median Price
        • Money Flow Index (MFI)
        • Negative Volume Index (NVI)
        • On Balance Volume (OBV)
        • Percentage Price Oscillator (PPO)
        • Percentage Volume Oscillator (PVO)
        • Performance Spread
        • Price Relative/Relative Strength
        • Pring's Know Sure Thing (KST)
        • Pring's Special K
        • Rate of Change (ROC)
        • Relative Strength Index (RSI)
        • Relative Volume (RVOL)
        • RRG Relative Strength
        • StockCharts Technical Rank
        • Slope
        • Standard Deviation (Volatility)
        • Stochastic Oscillator (Fast, Slow, and Full)
        • StochRSI
        • Traffic Light
        • TRIX
        • True Range
        • True Strength Index
        • TTM Squeeze
        • Typical Price
        • Ulcer Index
        • Ultimate Oscillator
        • Vortex Indicator
        • Weighted Close
        • Williams %R
      • Technical Overlays
        • Anchored VWAP
        • Bollinger Bands
        • Chandelier Exit
        • Double Exponential Moving Average (DEMA)
        • Hull Moving Average (HMA)
        • Ichimoku Cloud
        • Kaufman's Adaptive Moving Average (KAMA)
        • Keltner Channels
        • Linear Regression Forecast
        • Linear Regression Intercept
        • Moving Averages—Simple and Exponential
        • Moving Average Ribbon
        • Moving Average Envelopes
        • Parabolic SAR
        • Pivot Points
        • Price Channels
        • Triple Exponential Moving Average (TEMA)
        • Volume-by-Price
        • Volume-Weighted Average Price (VWAP)
        • ZigZag
    • Market Indicators
      • Introduction to Market Indicators
        • Market Indicator Dictionary
      • Advance-Decline Line
      • Advance-Decline Percent
      • Advance-Decline Volume Line
      • Advance-Decline Volume Percent
      • Arms Index (TRIN)
      • Bullish Percent Index (BPI)
      • DecisionPoint Intermediate-Term Breadth Momentum Oscillator (ITBM)
      • DecisionPoint Intermediate-Term Volume Momentum Oscillator (ITVM)
      • DecisionPoint Swenlin Trading Oscillator (STO)
      • High-Low Index
      • High-Low Percent
      • McClellan Oscillator
      • McClellan Summation Index
      • Net New 52-Week Highs
      • Percent Above Moving Average
      • Pring's Bottom Fisher
      • Pring's Diffusion Indicators
      • Pring's Inflation and Deflation Indexes
      • Pring's Net New High Indicators
      • Put/Call Ratio
      • Record High Percent
      • Volatility Indices
    • Market Analysis
      • Dow Theory
      • Sector Rotation Analysis
      • Intermarket Analysis
      • The DecisionPoint Chart Gallery
      • DecisionPoint Rydex Asset Analysis
      • Wyckoff Analysis Articles
        • Wyckoff Market Analysis
        • Wyckoff Stock Analysis
        • The Wyckoff Method: A Tutorial
      • Elliott Wave Analysis Articles
        • Introduction to Elliott Wave Theory
        • Identifying Elliott Wave Patterns
        • Guidelines for Applying Elliott Wave Theory
    • Trading Strategies & Models
      • DecisionPoint Trend Model
      • Trading Strategies
        • Bollinger Band Squeeze
        • CCI Correction
        • CVR3 VIX Market Timing
        • Faber's Sector Rotation Trading Strategy
        • Gap Trading Strategies
        • Harmonic Patterns
        • Hindenburg Omen
        • Ichimoku Cloud Trading Strategies
        • The 'Last' Stochastic Technique
        • MACD Zero-Line Crosses With Swing Points
        • Moving Average Trading Strategies
          • Finding Support and Resistance in Moving Averages
          • Guppy Multiple Moving Average: An MA Ribbon Designed to Tip the Market’s Hand
          • How To Trade Price-to-Moving Average Crossovers
          • Trading the Bounce: Finding Support and Resistance in Moving Averages
          • Trading the Death Cross
          • Trading Using the Golden Cross
          • Using the 5-8-13 EMA Crossover for Short-Term Trades
        • Moving Momentum
        • Narrow Range Day NR7
        • Percent Above 50-day SMA
        • Percent B Money Flow
        • The Pre-Holiday Effect
        • RSI(2)
        • Six-Month Cycle MACD
        • Slope Performance Trend
        • Stochastic Pop and Drop
        • Swing Charting
        • Trend Quantification and Asset Allocation
    • Index & Market Indicator Catalog
      • Advance-Decline Indicators
      • Cboe Indices and Indicators
      • CME Futures and Spot Prices
      • DecisionPoint Sentiment Indicators
      • Dow Jones Breadth Indicators
      • Dow Jones Global Indices
      • Dow Jones Select Indices
      • Dow Jones Titans Indices
      • Dow Jones US Indices
      • Economic Indicators
      • ICE Futures and Spot Prices
      • Intellidex Indices
      • MSCI Indices
      • New 52-week Highs and Lows for Exchanges
      • NYSE Arca Equity Indices
      • NYSE Equity Indices
      • Philadelphia Indices
      • S&P 500 Sector and Industry Groups
      • S&P GSCI Indices
      • StockCharts AD Percent
      • StockCharts AD Volume Percent
      • StockCharts Bullish Percent Index
      • StockCharts High-Low Index
      • StockCharts High-Low Percent
      • StockCharts Percent Above Moving Average
      • StockCharts Pseudo Symbols
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      • StockCharts Theoretical Indices
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On this page
  • What is StockCharts Technical Rank?
  • How is the SCTR Calculated?
  • How To Interpret the SCTR
  • What Are SCTR Universes?
  • SCTR Long-Term Indicators
  • SCTR Medium-Term Indicators
  • SCTR Short-Term Indicators
  • Navigating and Customizing SCTR's Functionalities
  • The Bottom Line
  • Suggested Scans
  • SCTR Crossing Above 90
  • SCTR Has New High
  • SCTR FAQs
  • Additional Resources
  • StockCharts In Focus

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  1. Table of Contents
  2. Technical Indicators & Overlays
  3. Technical Indicators

StockCharts Technical Rank

What is StockCharts Technical Rank?

The StockCharts Technical Rank (SCTR) is a numerical score that ranks a stock within a group of stocks. The methodology for these rankings comes from the wisdom of John Murphy, author of many books on technical analysis.

Stocks are assigned a score based on six key indicators covering different timeframes. These indicator scores are then sorted and assigned a technical rank. Using SCTR tables, chartists can sort stocks according to their technical rank, making it easy to identify the technical leaders and laggards within a specific group.

As with all technical indicators, SCTRs are designed to be used with other indicators and analysis techniques. For example, you can use SCTRs as a filter when there are too many signals, weeding out stocks showing relative weakness, and providing a manageable subset for further analysis.

Note that leveraged and inverse exchange-traded funds (ETFs) are excluded from the SCTR rankings for the ETF universe. Above-average volatility and inverse movements skew the results. The VIX ETF (VXX) is also excluded because it moves inverse to the S&P 500.

How is the SCTR Calculated?

It takes two steps to calculate the StockCharts Technical Rank (SCTR). First, each stock is “scored” based on six different technical indicators. These six indicators can be subdivided into three groups— long-term, medium-term, and short-term. The box below details these indicators, the relevant timeframe, and the weightings.

Long-Term Indicators (weighting)
--------------------------------

  * Percent above/below 200-day EMA (30%)
  * 125-Day Rate-of-Change (30%)

Medium-Term Indicators (weighting)
----------------------------------

  * Percent above/below 50-day EMA (15%)
  * 20-day Rate-of-Change (15%)

Short-Term Indicators (weighting)
---------------------------------

  * 3-day slope of PPO(12,26,9) Histogram/3 (5%)
  * 14-day RSI (5%)

For the PPO-Histogram, if its slope is greater than +1 (i.e., +45 degrees), 5 points (5% of 100) are contributed to the total indicator score. If the PPO-Histogram's slope is less than -45 degrees, 0 points are contributed to the score. Otherwise, 5% of ((Slope + 1) x 50) is contributed.

After this first calculation round, StockCharts.com then ranks these stocks by their indicator score. Keep in mind that these stocks are ranked solely within their group, such as large-caps, mid-caps, and small-caps.

This article will first show a simplified example using 10 stocks sorted by indicator score. The stock with the highest score gets the highest technical rank (10), while the stock with the lowest score gets the lowest technical rank (1). The rankings are then filled in according to the indicator score.

StockCharts Technical Rank goes into much more detail. First, the rankings extend from 0.00 to 99.99, with 0 being the absolute weakest and 99.99 being the absolute strongest. No stock will score a perfect 100. Second, StockCharts.com creates “buckets” (akin to percentiles) to sort the stocks within a group.

Using an example with a universe of 500 stocks, 10 equal buckets would be created and each bucket would have 50 stocks (50 x 10 = 500). The 50 stocks with the lowest indicator scores go into the bottom bucket and have SCTRs ranging from 0 to 10. The 50 stocks with the highest indicator scores go into the top bucket and have SCTRs ranging from 90 to 99.99. Each bucket will then be filled accordingly and further sorted within the bucket. The end result is 500 stocks ranked from 0 to 99.99 and spread relatively evenly across the ranking pool.

How To Interpret the SCTR

The indicator score is unique and powerful because it accounts for several timeframes, rather than being tethered to a specific one. A stock must score well with all indicators and all timeframes to earn a top indicator score and technical rank. The indicator score puts more weight on the two long-term indicators, which account for 60% of the total score. This is because the long-term trend is the strongest force. The weightings decline as scoring moves to the short-term indicators. The medium-term indicators account for 30% and the short-term indicators account for 10%. Together, the long-term and medium-term indicators account for 90% of the total score.

The StockCharts Technical Rank shows how a stock is performing relative to its peers, not a benchmark index. Indices, such as the S&P 500, are dominated by large-caps and may not truly reflect the market as a whole. Instead of benchmarking to one index, SCTR sorts all stocks within a specific universe, such as large-caps, mid-caps, and small-caps. In this regard, you can see how, say a stock like Apple is performing relative to Amazon, IBM, and other large-cap stocks.

SCTR tables can easily be sorted to separate the strongest stocks from the weakest. In any given SCTR universe, the top 10% will rank between 90 and 100, while the bottom 10% will rank between 0 and 10. A stock scoring 50 would be average, showing neither relative strength nor relative weakness. In general, scores between 40 and 60 are considered average. Signs of technical weakness start to appear as scores move below 40. Signs of technical strength emerge when scores move above 60.

What Are SCTR Universes?

In order for a stock to have a SCTR value, it must first belong to a “Universe.” Universes are large groups of stocks established by StockCharts.com for the purpose of relative strength ranking. A stock can only belong to one SCTR Universe at a time. Currently, we use country and/or market capitalization to determine which universe a stock belongs to.

Here is a list of the current SCTR universes that we support:

  • Large-Cap. US stocks with a market cap over $10 billion

  • Small-Cap. US stocks with a market cap between $250 million and $2 billion

  • Mid-Cap. US stocks with a market cap between $2 billion and $10 billion

  • ETF. Non-leveraged US ETFs

  • Industries. US industries, represented by Dow Jones US Industry Indices

  • Toronto. Canadian stocks that trade on the Toronto Stock Exchange and have significant market cap

  • London. Stocks that trade on the London Stock Exchange and have significant market cap

  • India. Stocks that trade on the National Stock Exchange of India and have significant market cap

To keep the number of ranked stocks manageable, the meaning of the phrase “significant market cap” changes from year to year depending on the number of stocks that qualify for each universe.

The SCTR Universes are “re-balanced” monthly.

US stocks SCTR universes are defined based on market capitalization. As a result, these universes will not always match, for example, S&P Large-, Mid-, and Small-cap indices. This is because S&P also includes other criteria, such as quality, liquidity, etc., for inclusion in one of these segments.

To prevent stocks from changing into a different universe on every rebalancing because they are hovering around the cut-off levels between the different universes, a stock must qualify for the new universe for a minimum of three consecutive months.

SCTR Long-Term Indicators

There are two percentage-based long-term indicators.

The 125-day Rate-of-Change is the second long-term indicator. This simple indicator measures the percentage price change over the last 125 days, which is around six months. Strong stocks will show the largest gains, while weak stocks will show the largest losses. It is a straight-forward indicator designed to measure pure strength or weakness.

The first chart shows Home Depot with the 200-day moving average and the 125-day Rate-of-Change indicator. At the time this chart was created, HD had an SCTR score of 97.4. Price was over 15% higher than its moving average and the Rate-of-Change was above 20%. Such strength in these long-term indicators packs a big positive punch for the technical rank.

The second chart shows Whirlpool (WHR) with the same indicators, but a different technical picture. Note that WHR has a SCTR score of 3.50, which is in the bottom 10%. The stock is trading over 25% below its 200-day average and the 125-day Rate-of-Change is below -30%. WHR recently hit a new 52-week low, which is indicative of a long-term downtrend. This weakness is clearly confirmed by the low technical rank.

SCTR Medium-Term Indicators

The next two indicators cover the medium-term picture.

A 50-day moving average covers around 2 1/2 months of trading. A stock is trending higher when above the 50-day moving average and trending lower when below the 50-day. This positive effect is compounded when a stock trades above the 200-day and 50-day averages. The converse is true when a stock is trading below both moving averages.

The first chart shows Home Depot with the 50-day EMA and 20-day Rate-of-Change indicator. Remember, HD had an SCTR score of 97.4 at the time this chart was created. Medium-term, price was over 10% above its 50-day average and the 20-day Rate-of-Change was greater than 9%. Those are mighty strong numbers.

The second chart shows Whirlpool (WHR) with the same indicators, but a completely different technical picture. Remember, WHR had a SCTR score of 3.50 on December 5. The stock was trading over 5% below its 50-day moving average and the 20-day Rate-of-Change was below -2.5%. These numbers are not that drastic and definitely an improvement over the levels seen in late November. However, ranked against other large-cap stocks, these negative numbers did not help Whirlpool and kept its technical rank in the bottom 10%.

SCTR Short-Term Indicators

The two short-term indicators account for 10% of the indicator score.

The first chart shows Home Depot with 14-day RSI in red and the Percent Price Oscillator (PPO) with its histogram in the indicator window. Keep in mind that HD has a SCTR score of 97.4. RSI shows strength because it was trading above 70 at the time. In fact, notice that RSI was at its highest level in over six months. This strong reading contributed to the high technical rank for HD. The last three bars of the histogram define the slope. There is a sharp rise from the first bar to the third, which is a positive slope.

The second chart shows Whirlpool (WHR) with the same short-term indicators. Remember, WHR had a SCTR score of 3.50. 14-day RSI bounced off its late November low, but remains below 50. Short-term momentum is neutral at best, slightly bearish at worst. The 3-day slope for the PPO-Histogram, however, is positive. Notice that the first bar is in negative territory and the third bar is in positive territory. The rise is not that steep though. This indicates that the 3-day slope of the PPO-Histogram is not contributing that much to the indicator score. Additionally, keep in mind that this indicator accounts for just 10% of the total score.

Navigating and Customizing SCTR's Functionalities

Note: End-of-day is based on the most recent daily close, while intraday is based on price levels at that particular point in time.

The double arrows displayed on the right of a column indicate the column can be sorted in ascending or descending order. For example, the CHG column reflects the change in SCTR values from one period to the next. Sorting by this column will display the stocks with the biggest changes in their technical rank. This feature is helpful to spot the big movers.

Leveraged and inverse ETFs are excluded from the SCTR rankings for the ETF universe. Above-average volatility and inverse movements skew the results. The VIX ETF (VXX) is also excluded because it moves inverse to the S&P 500.

The Bottom Line

The StockCharts Technical Rank (SCTR) separates the wheat from the chaff. Relative strength is an important part of a successful trading or investing strategy. Based on the wisdom of John Murphy, SCTR allows chartists to compare the technical strength of one stock against all the stocks in its peer group. Chartists can also group stocks according to the technical rank. Stocks in the top 30% will have a technical rank of 70 or higher.

Chartists can then focus on these relatively strong stocks for potential long positions on pullbacks. Conversely, chartists can use the technical rank to avoid weak stocks, such as those with a technical rank below 40. As far as new trends emerging, chartists can look for stocks with technical ranks moving out of the middle zone (40–60). A move above 60 would show relative strength improving, while a move below 40 would show an increase in relative weakness. As with all technical tools, SCTR should be used in conjunction with other aspects of Technical Analysis.


Suggested Scans

SCTR Crossing Above 90

This scan reveals stocks where the SCTR for a US stock has just crossed above 90. The 'or' clause includes all US stocks with SCTR values, regardless of market cap.

[type = stock] AND [country = US] 
AND [Daily SMA(20,Daily Volume) > 40000] 
AND [Daily SMA(60,Daily Close) > 20] 

AND [[SCTR.large x 90] OR [SCTR.mid x 90] OR [SCTR.small x 90]]

SCTR Has New High

This scan reveals US ETFs that are having a new 6-month high SCTR value. Because the scan covers a limited number of securities in a single SCTR universe, the typical scan clauses for defining the universe are not necessary here.

[today's SCTR.us.etf > yesterday's max(120,SCTR.us.etf)]

SCTR FAQs

What is the significance of SCTR in a trading or investing strategy?

The SCTR is a powerful tool for comparing the technical strength of one stock against all the stocks in its peer group. It separates the strong performers from the weak ones and is a significant part of a successful trading or investing strategy.

Are there any exclusions in the SCTR rankings?

Only ticker symbols in predefined SCTR universe groups will have a SCTR ranking. Leveraged and inverse ETFs are excluded from the SCTR rankings due to their above-average volatility and inverse movements that skew the results. The VIX ETF (VXX) is also excluded because it moves inverse to the S&P 500.

Why does the SCTR value remain the same for a while?

When a SCTR value remains the same for a while, it means the stock or ETF is consistently outperforming/underperforming its peers.

How often are SCTRs updated?

During the trading day, SCTRs are updated every one to two minutes.

Additional Resources

StockCharts In Focus

The following StockCharts In Focus video, “Pinpoint the Strongest Stocks with SCTRs”, takes a deep-dive into all the different ways you can use SCTRs on StockCharts, including the SCTR reports, scanning for SCTRs, and charting with SCTRs on both SharpCharts and StockChartsACP.

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Last updated 9 months ago

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Except for the 3-day slope of the PPO-Histogram, the raw numbers are used to calculate the indicator score. For example, if a stock is 15% above its 200-day , then this indicator will contribute 4.5 points to the total indicator score (15 x 0.30 = 4.5). If the 20-day is -7%, then this indicator will contribute a negative 1.05 points to the total indicator score (-7 x 0.15 = -1.05).

The first indicator score accounts for a stock's distance from its . A stock is in a long-term uptrend when it is above the 200-day moving average and in a long-term downtrend when it is below. The distance from the 200-day moving average line determines the trend's strength. A strong uptrend is present when price is well above the 200-day. Conversely, a strong downtrend is present when price is well below the 200-day.

The 20-day measures the percentage price change over a 20-day period, which is about a month. Again, stocks with big positive price changes over a 20-day period show above-average strength that will be reflected in the technical rank. A big decline over a 20-day period would negatively affect the technical rank.

First, is used to gauge short-term momentum. Developed by Welles Wilder, this classic momentum oscillator fluctuates between 0 and 100. High levels (above 60) reflect bullish momentum while low levels (below 40) indicate bearish momentum.

The 3-day slope of the PPO-Histogram is also used to gauge short-term momentum. The measures the percentage difference between the 12-day EMA and the 26-day EMA of a stock. The PPO-Histogram is the difference between the PPO and its 12-day EMA. In a sense, the PPO measures momentum, and the PPO-Histogram measures the momentum of the PPO. Taking this indicator one step further, the 3-day Slope of the PPO-Histogram measures the degree of change in the PPO-Histogram over three days. The slope is the rise over the run (rise/run), the 3-day change in the PPO-Histogram divided by three. SharpCharts does not have an indicator for this, but a quick look at the charts tells you if the slope is positive or negative. You can also see when the slope is relatively steep or flat. A steep slope reflects a sharp change, while a flat slope reflects a slight change.

The StockCharts Technical Rank feature can be accessed from the . From here, you can choose your stock universe, opt for end-of-day or intraday data, select columns to display, sort columns, and do further analysis on a stock or ETF.

to see the StockCharts Technical Rank page live.

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Rate-of-Change
200-day moving average
Rate-of-Change
14-day RSI
Percentage Price Oscillator (PPO)
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