Gtrades Forex RSI & Volume SignalThe "Forex RSI & Volume Signal" indicator combines Relative Strength Index (RSI) and volume analysis to identify potential buy signals in forex trading. It calculates RSI to gauge overbought or oversold conditions, while comparing current volume to a moving average to determine bullish volume momentum. When RSI indicates oversold conditions and volume suggests bullish momentum, a buy signal is generated. This indicator aims to identify favorable entry points during short-term uptrends in the forex market, leveraging both momentum and volume analysis to inform trading decisions. It provides traders with a comprehensive tool to identify potential buying opportunities based on multiple technical factors.
Komut dosyalarını "Relative" için ara
RSI Divergence AlertsIndicator Description: RSI Divergence Alerts
The RSI Divergence indicator is a technical analysis tool that identifies divergences between the Relative Strength Index (RSI) and the price of an asset. The RSI is a momentum indicator that measures the speed and magnitude of recent changes in an asset's price, while divergences occur when there is a disparity between price movements and the RSI.
Indicator Customization:
Overbought and Oversold: The indicator allows you to customize the overbought and oversold levels of the RSI. This allows traders to adjust parameters according to their preferences and the historical behavior of the asset in question.
Indicator Settings and Recommended Adjustments:
Max Bar Distance: This parameter determines the maximum distance allowed between two low or high points for a divergence to be recognized. A higher value may result in more signals, but may also increase the number of false signals. It is recommended to adjust this value based on the volatility of the asset and the time period in which it is being traded.
RSI Length: This is the time period used to calculate the RSI. A longer period smoothes the indicator, while a shorter period makes it more sensitive to price changes. The default value is 14, but traders can adjust it based on their trading strategy and the asset's volatility.
RSI Overbought and Oversold: These values determine the levels at which the RSI is considered overbought and oversold, respectively. The default value for overbought is 75 and for oversold is 35. Traders can adjust these values according to the asset's volatility and its historical analysis. For example, in more volatile assets, it may be useful to use more extreme levels, such as 80 for overbought and 20 for oversold.
When adjusting indicator settings, traders must consider the balance between sensitivity and accuracy. Careful tuning of these parameters can help filter out false signals and identify more reliable trading opportunities.
The alerts functionality in this RSI Divergence indicator is designed to notify traders when a bearish divergence or a bullish divergence is detected. Here's how it works:
Conditionally Triggered Alerts:
Alerts are triggered based on the boolean variables bearishDivergence and bullishDivergence.
If bearishDivergence is true, it indicates that a bearish divergence has been detected.
If bullishDivergence is true, it indicates that a bullish divergence has been detected.
Alert Message:
When a divergence is detected, an alert message is generated to inform the trader about the event.
The message includes details about the divergence, such as the difference in the RSI value between the two points forming the divergence.
For example, for a bearish divergence, the message will include the phrase "Bearish RSI Divergence Detected" and the RSI difference between the high and low points of the divergence.
Alert Frequency:
Alerts are configured to be triggered once per bar close (alert.freq_once_per_bar_close), which means the alert will only be sent once at the close of each bar.
This helps to avoid multiple alerts for the same divergence during the same time period.
Additional Alert Conditions:
In addition to conditionally triggered alert messages, alert conditions are defined for both bearish and bullish divergences.
These alert conditions are useful for configuring custom alerts on trading platforms that support running Pine Script code.
Overall, this alert functionality allows traders to stay informed about potential trading opportunities based on divergences detected by the indicator. This can help traders make faster and more informed decisions in their trading processes.
DOUBLE RSI+MA ALERTS SETUPThis is an indicator that provides two verses of relative force indices (RSI) - an RSI Rapid and an RSI Normal, but as moving media (MA) applied with an RSI Rapid for suavização.
Rapid RSI and Normal RSI:
Or RSI is a momentum indicator that mediates the speed and alteração of preço movements of an ativo. No script, we calculate the RSI variations:
O RSI Rápido, com um período configurável que por padrão é but curto (5 períodos), para reactor but quickly to these mudanças no preço.
Or RSI Normal, with a configured period, but with a maximum value (14 periods), proportionate to an analysis but correct.
Media Móvel do RSI Rápido:
We have a simple mobile media (SMA) application with RSI Rapido, using the same number of times as RSI to monitor variations and facilitate viewing of the direction of the trend.
Levels of Overbought and Oversold:
These are the levels of overbought (sobrevendido) and oversold (sobrecomprado). Therefore, the overbought level is set at 80 and the overbought level is 20, depending on the classic RSI settings.
Alert Conditions:
Criamos alert conditions to inform you when the RSI of each type is ultrapassed or they are not defined as overbought and oversold. Assim, we can be notified of potential entry points or conditions based on these extreme market conditions. These messages are personalized to ensure that you quickly identify when the RSI has disappeared or alerted you if it is an overbought or oversold condition.
Visualization Graphic:
The indicator plots as RSI Rapid and RSI Normal lines not graphically for visual analysis, but with horizontal lines indicating the level of overbought and oversold. A cor dessas linehas éjustável para clareza.
Informative Table:
The tab is added to the lower side of the graphic fornecendo values at the real time of the RSI Fast as the RSI Normal, making it easier to visualize quickly and to compare unless it is necessary to print directly for the graphic.
This script has a powerful ferrament for operators that provides integrated analysis of RSI into its strategies, offering flexibility to monitor the dynamics of the preço and different tempo scales. Personal alerts are particularly important to be aware of marketing conditions without the need for constant monitoring. Algum additional functionality that you find useful or extra personalization that you want?
RSI+MA ALERTThis script is a custom indicator for use on the TradingView platform, which combines the Relative Strength Index (RSI) with a moving average applied to the RSI itself to smooth its movements and potentially identify trends or reversals more clearly.
The RSI is a momentum oscillator that measures the speed and variation of asset price movements. RSI values range from 0 to 100 and are generally considered overbought when above 70 and oversold when below 30. In our indicator, we adjust these levels to 80 and 20, respectively, to avoid premature or delayed signals. Furthermore, we have inserted customizable options within the script that allow the user to define their own overbought and oversold thresholds, thus improving compatibility with different strategies and market conditions.
The overbought metric means that the price may be at a point of downward reversal, while an oversold state may indicate an imminent upward reversal point. These levels are visualized as dotted horizontal lines on the indicator chart for guidance.
To capture the behavior of the RSI over time, we apply a simple moving average (SMA) to the RSI values, thereby smoothing the RSI graph and highlighting the broader trend of oscillator movement. This helps filter out the noise from smaller price movements and provides a clearer representation of trend momentum.
Regarding alerts, the indicator is programmed to send notifications when the RSI value crosses the defined overbought and oversold levels. This means that when the RSI drops below 20, the indicator triggers an oversold alert, while an RSI above 80 triggers an overbought alert. These levels, however, are user adjustable in code, allowing custom levels to be defined to match individual strategies.
Visually, the indicator plots two lines on the chart below the main price chart: a blue line for the RSI values and an orange line for the RSI moving average. The red (oversold - 20) and green (overbought - 80) horizontal lines delimit the critical levels, although these are also customizable. These are the fundamental features of this indicator that make it a useful tool for analyzing momentum and potentially identifying price reversals.
Perfect RSIOverview:
The "Enhanced RSI" is a comprehensive TradingView indicator designed to provide traders with a nuanced and detailed analysis of market conditions using the Relative Strength Index (RSI). It amalgamates various RSI calculation methods to offer a more robust and adaptable approach to technical analysis.
Originality:
This script is unique in its synthesis of multiple RSI calculation techniques, including Regular RSI, Dynamic RSI, DMI RSI, Wilder's RSI, TSI RSI, Momentum RSI, and PPO RSI. By combining these methods, the script creates a distinctive and versatile tool for traders seeking a holistic view of RSI dynamics.
How It Works:
Diverse RSI Calculations:
Regular RSI: Calculates standard RSI with user-defined length and source.
Dynamic RSI: Adjusts RSI dynamically based on price movement direction.
DMI RSI: Uses Directional Movement Index for RSI calculation.
Wilder's RSI: Implements Wilder's smoothing technique for RSI.
TSI RSI: Utilizes True Strength Index for RSI calculation.
Momentum RSI: Calculates RSI based on momentum.
PPO RSI: Applies Percentage Price Oscillator for RSI calculation.
Composite RSI:
Combines the individual RSIs into three composite indices (RSI1, RSI2, RSI) using a weighted average approach.
Dynamic Level Adjustment:
Uses the correlation coefficient to dynamically adjust overbought and oversold levels, enhancing adaptability to market changes.
Visualization and Background Coloring:
Visualizes overbought and oversold zones on the chart.
Adjusts background color based on these conditions for clearer interpretation.
How to Use:
Installation:
Copy and paste the script into the Pine Editor on TradingView.
Adjust parameters as needed.
Analysis:
Utilize the "Enhanced RSI" as a comprehensive analysis tool for RSI dynamics.
Consider it as a confirmation tool alongside other technical indicators.
Customization:
Experiment with different RSI lengths and methods to align with your trading strategy.
Backtest the script to validate its effectiveness.
Considerations:
Complexity:
The script is sophisticated; users are advised to understand each calculation method before reliance.
Parameter Sensitivity:
Effectiveness may vary based on chosen parameters; thorough backtesting and parameter optimization are recommended.
Volatility Adjusted Composite RSI with SMA and EMA SignalsOverview
The script "VAC - RSI with SMA and EMA Signals" combines the traditional Relative Strength Index (RSI) with Time-based RSI (T-RSI), and adjusts it for volatility to create a Composite RSI (C-RSI). The script further uses Simple Moving Average (SMA) and Exponential Moving Average (EMA) to generate signals for potential trading opportunities. In the "VAC - RSI with SMA and EMA Signals" script, the combination of price, time, and volatility works as follows:
Price: The script calculates the traditional RSI based on price changes over a specified period.
Time: Alongside the price-based RSI, a Time-based RSI (T-RSI) is calculated, which considers the number of upward and downward closes over the same period.
Volatility: Volatility is integrated into the Composite RSI (C-RSI) by adjusting it with a Z-score based on a standard deviation of closing prices.
These three factors work together to create a more holistic and robust indicator.
How can it be used?
This script is used to identify potential overbought and oversold conditions in the market. It plots the VAC-RSI, SMA, and EMA on a chart, along with overbought and oversold levels, providing visual signals to the trader. When the EMA is below the SMA, it is a bullish signal, and vice versa for a bearish signal.
Default Values for Different Inputs:
Price RSI Weightage (%): 65
Unified Period for RSI & T-RSI: 14
C-RSI SMA Period: 13
C-RSI EMA Period: 33
C-RSI Bull Trend Support: 35
C-RSI Bear Trend Resistance: 65
Use Volatility Adjusted C-RSI (VAC-RSI): true
Standard Deviation Period: 14
Volatility Scaling Factor (α): 5
These values can be adjusted according to the trading strategy to optimize the signals for different assets or timeframes.
Strategies this Can be Used for:
The script can be used in various trading strategies including:
Trend Following: By observing the crosses of EMA and SMA, traders can follow the trend.
Reversion to the Mean: Using the overbought and oversold levels to identify potential reversal points.
Breakout: Identifying breakout points using the Bull and Bear Market Support and Resistance levels.
Comparison with the Standard Indicator:
Enhanced Sensitivity to Market Conditions
Improved Signal Quality
Versatility
Volatility Adjustment
Interpretation of Output Values:
VAC-RSI Value:
The script provides additional overbought (80) and oversold (20) lines to help identify extreme conditions.
SMA and EMA Values:
When the EMA is below the SMA, it is generally considered a bullish signal.
When the EMA is above the SMA, it is generally considered a bearish signal.
The cross of EMA and SMA can be used as a trigger for entry or exit points.
Bull and Bear Market Support and Resistance Lines:
The Bull Market VAC-RSI Support (default at 35) and Bear Market VAC-RSI Resistance (default at 65) lines can be used to identify potential breakout or breakdown points.
In a bull market, if the VAC-RSI stays above the support line, it indicates a strong uptrend.
In a bear market, if the VAC-RSI stays below the resistance line, it indicates a strong downtrend.
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Trailing Stop with RSI - Momentum-Based StrategyTrailing Stop with RSI - Momentum-Based Strategy
Description:
The Trailing Stop with RSI strategy combines momentum analysis and trailing stop functionality to help traders identify potential entry and exit points in their trading decisions. This strategy is suitable for various markets and timeframes.
Key Features:
Momentum Analysis: The strategy incorporates momentum indicators to identify potential buying and selling opportunities based on momentum shifts in the price.
Trailing Stop Functionality: The strategy utilizes a trailing stop to protect profits and dynamically adjust the stop loss level as the trade moves in the desired direction.
RSI Confirmation: The Relative Strength Index (RSI) is included to provide additional confirmation for trade entries by considering overbought and oversold conditions.
How to Use:
Entry Conditions: Long positions are triggered when positive momentum is detected, and the RSI confirms an oversold condition. Short positions are triggered when negative momentum is detected, and the RSI confirms an overbought condition.
Trailing Stop Activation: Once a position is opened, the trailing stop is activated when the specified profit level (as a percentage) is reached.
Trailing Stop Level: The trailing stop maintains a stop loss level at a specified distance (as a percentage) from the highest profit achieved since opening the position.
Exit Conditions: The trailing stop will trigger an exit and close all positions when the trailing stop level is breached.
Markets and Conditions:
This strategy can be applied to various markets, including stocks, forex, cryptocurrencies, and commodities. It can be used in trending and ranging market conditions, making it versatile for different market environments.
Important Considerations:
Adjust Parameters: Traders can modify the length of the momentum and RSI indicators to suit their preferred timeframe and trading style.
Risk Management: It is recommended to consider appropriate position sizing, risk-to-reward ratios, and overall risk management practices when using this strategy.
Backtesting and Optimization: Traders are encouraged to backtest the strategy on historical data and optimize the parameters to find the best settings for their chosen market and timeframe.
By incorporating momentum analysis, trailing stop functionality, and RSI confirmation, this strategy aims to provide traders with a systematic approach to capturing profitable trades while managing risk effectively.
Weighted Relative Strength IndexWRSI uses 3 different user defined time frames with user defined weight on each time frame to give a final RSI value
Default values:
RSI 1 = 5 minute timeframe with a weightage of 9:14
RSI 2 = 15 minute timeframe with a weightage of 4:14
RSI 1 = 60 minute timeframe with a weightage of 1:14
Works best on a 15 min chart.
Please note this indicator will show exactly same values on all time frame charts so if you are looking at a daily chart you may want to change to 60 min, Daily & Weekly RSI time frame in settings.
The weights used here are basically sqaures of 1,2,& 3, you may choose any numbers that work for you.
The RSI length taken here is 27 (count of nakshatras)
The RSI MA length taken here is 28 (count of nakshatras + Abhijit Nakshatra)
You can obviously change it to what works best for you.
Tripple Relative Strength IndexIn Binance, you could see Original chart next to Tradingview chart. If you're used to looking at the original chart and trading frequently with BInance apps, you'll be used to using 3 RSIs. This indicator will help you like that. I added only a little code to the basic RSI in technicals. I appreciate using this indicator.
SLB | RSI 2WThis script shows RSI ( Relative Strength Index ) over a 2 week period (RSI2W). The RSI2W is used by some traders to identify tops and valleys.
Taking historical BTC values as an example, the RSI 92+ (red lines) matches with the historical tops, and the RSI 40- (green lines) matches with the valleys, a good chance of bull markets' start.
Alpha Relative Strength IndexA bullish signal on the RSI indicator signals that price did not move in sync with the RSI; price moved low, but the RSI moved less. This bullish divergence is an indication of strengthening momentum. A bearish signal on the RSI indicator signals that price and RSI are not in sync
[JL] Relative Strength Index HLC OverlayReceive a message for add RSI to overlay = true
I am not a fan for cross-over something so I think it is not worth to move RSI to overlay, but I just got an idea on how to implement it.
So I spent a few minutes to move my RSI-HLC to overlay.
Better watch both overlay =true and false.
[JL] Relative Strength Index HLCTA is about visual arts.
I put both Close and (H+L)/2 on RSI and have more views on market.
How to use:
- Big Green and big Red should be considered.
- Divergence is always a good signal, but may be ensured by others like trend lines.
B's Multi Time Frame Filled RSI (1m-5m)Plots the 1m, 2m, 3m, 4m and 5m RSIs onto the same indicator.
When a shorter time frame RSI is above a longer time frame RSI, the gap between the two is filled red.
When a shorter time frame RSI is below a longer time frame RSI, the gap between the two is filled green.
Used for easily visualising where the RSIs are relative to each other for intra-day trading, but you can edit the settings to use whatever time frames you like.
Simple Relative Strength IndexCreated this script to simply let us predict buy and sell for RSI 15 and 85 (configurable).
It is best use for ETH and monthly chart.
Good for people who can not stay for daily trade and only able to trade few times a month.
The earning is quite lucrative while ETH is on up trend. However, this will not work when ETH on side way.
This only work when ETH is excited!!!
Happy sharing..
Credit to anonymous-es that i used their codes.
True Relative Strength Index (True RSI / TRSI) [cI8DH]This indicator fixes RSI's bullish bias. This asymmetrical bias is illustrated in the chart below (the lower indicator pair).
This chart also shows that TRSI solves this issues (upper indicator pair). So, time to throw away your RSI. It has been fooling you all along.
FYI, this asymmetry is obvious in longer term charts (wide price ranges).
I kept this script simple for use as a reference. I will update my candle RSI indicator to implement this fix in addition to some other advanced features. So stay tuned :)
PS:
I included an option to display standard RSI as well for verifying the RSI equation I used. What you see in textbooks is a twisted version of the same equation.
Thanks @DennisLeeBTC for the name suggestion.
RSI Multi-TimeframeThe Relative Strength Index (RSI) is an extremely useful oscillating momentum indicator that was developed by J. Welles Wilder and is one of the most widely used indicators in technical analysis.
HOW IS IT USED ?
In the classic view, a security is thought to be overbought when its RSI reading is above 70 and oversold when its RSI reading falls below 30. This makes it a good indicator for mean-reversion systems. Wilder recommended using the 70 and 30 levels as overbought and oversold levels respectively. When the RSI moves up over the 30 line it is considered a possible bullish reversal while a move down below the 70 line is considered a possible bearish reversal.
When the RSI is above 70 it is a potential exit signal if you are in a long position and when it is below 30 it is a potential exit signal if you are in a short position. Some traders use extreme readings for entry points in the direction of the long-term trend. Thus, if the long-term trend is bullish, then you'd wait for the RSI to reach oversold territory, which would be a potential entry point for a long position. Conversely, if the long-term trend is bearish, then overbought conditions could be a potential point to short the security.
I added the possibility to add on the chart a 2nd timeframe for confirmation.
If you found this script useful, a tip is always welcome... :)
Quantitative Qualitative Estimation by ShizaruThe original script was posted on ProRealCode by user Nicolas.
he QQE indicator consists of a smoothed Relative Strength Index (RSI) indicator and two volatility-based trailing levels (fast and slow). The Fast Trailing Level (TL) and Slow TL are constructed by calculating the ATR of the smoothed RSI over n-periods and then further smoothing the ATR using an additional n-periods Wilders smoothing function. This smoothed ATR of RSI is then multiplied by the Fast and Slow ATR Multipliers to calculate the final Fast and Slow Trailing Levels.
ZORZOR (Zone of Outperformance Ratio) with Supporting Indicators
This custom indicator introduces an approach to measuring asset performance through the Zone of Outperformance Ratio (ZOR), complemented by two supporting indicators for comprehensive market analysis.
1. ZOR (Zone of Outperformance Ratio)
The ZOR is the cornerstone of this indicator, offering a unique perspective on an asset's performance across multiple time zones:
Measures the degree of an asset's outperformance against a benchmark (default: NSE:NIFTY) across different time zones
Utilizes a weighted multi-timeframe approach for a holistic performance view
Combines performance ratios from 63, 126, 189, and 252-day zones and results in a score between 0-99, with higher scores indicating stronger outperformance across zones
Key Features:
Fully configurable weights for each timeframe (63, 126, 189, 252 days)
Customizable benchmark symbol
Color-coded display: Blue for scores ≥60 (strong performance), Red for scores <60 (weaker performance)
2. Supporting Indicators
To enhance analysis and provide context to the ZOR score, two additional indicators are included:
a) Distance to 52-week High:
Calculates the percentage distance between current price and 52-week high
Color-coded for quick interpretation:
Yellow-green when price is above 52-week high
Dark green when price is below 52-week high
Helps identify potential overbought conditions or breakout scenarios
b) Distance to EMA:
Shows percentage distance from current price to a user-defined EMA (default: 21-day)
Helps gauge short-term momentum relative to the trend
Useful for identifying potential mean reversion opportunities
Originality and Usefulness
The ZOR indicator offers a fresh perspective on relative performance by:
Combining multiple timeframes into a single, easy-to-interpret score
Applying a non-linear transformation to emphasize recent performance
Providing a flexible framework for comparing assets against any chosen benchmark
The supporting indicators complement the ZOR by offering additional context:
Distance to 52-week High helps identify potential trend strength and breakout scenarios
Distance to EMA provides insights into short-term momentum and potential mean reversion
This combination allows traders to:
Quickly identify outperforming assets across multiple timeframes
Assess whether an asset is extended from its long-term highs or short-term average
Make more informed decisions by considering relative performance, trend strength, and momentum in a single view
How to Use
1. Add the indicator to your chart
2. Customize settings in the indicator properties:
- Set benchmark symbol
- Toggle visibility of supporting indicators
- Customize EMA length for Distance to EMA
- Adjust ZOR calculation weights(Optional)
3. Interpret the color-coded labels:
- ZOR: Blue (strong performance) or Red (weaker performance)
- Distance to High: Yellow-green (above 52-week high) or Dark green (below)
- Distance to EMA: Purple label showing percentage
4. Use in conjunction with other technical and fundamental analysis for comprehensive trading decisions
This indicator provides a unique, multi-faceted approach to performance analysis, combining relative strength measurement with trend and momentum indicators for a holistic market view.
Relative Strength 3D Indicator [CC]This is a custom indicator of mine loosely based on the work by James Garofallou (Stocks and Commodities Sep 2020 pg 14) and this is meant for medium to long term trend confirmations. The idea behind this indicator is to capture 3 different dimensions of trend strength. The first dimension captures the overall strength of the underlying stock vs the market (in this case the S&P 500). The second dimension captures the overall trend strength by assigning a scoring system so when all faster moving averages are stronger than slower moving averages then it gets the max points. The final dimension is the strength of the overall strength of everything so far. Buy when the indicator line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish!
Currency Strength [LuxAlgo]The Currency Strength indicator displays the historical relative strength of 5 user selected currencies over a user selected period of time. Users can also display relative strength of currencies as a scatter plot, further informing on the evolution of currency strength.
🔶 SETTINGS
Display: Determines the type of data displayed by the indicator. By default, the trailing relative strength of currencies is displayed, with the other option displaying the scatter plot.
Timeframe: Timeframe period used to calculate currency relative strength.
🔹 Meter
Show Strength Meter: Displays the currency strength meter on the indicator panel.
Strength Meter Resolution: Resolution of the currency strength meter, higher resolutions allow to observe smaller difference in strength.
Location: Location of the currency strength meter on the indicator pane.
Size: Size of the currency strength meter.
🔹 Relative Strength Scatter Graph
Scatter Graph Resolution: Horizontal and vertical width of the scatter plot (in bars). Higher values allow a more precise position on the X axis.
🔶 USAGE
Measuring the relative strength of a currency allows users to assess the relative performance of a currency against a basket of other currencies.
The term "strength" can convey various interpretations depending on the indicator. Here "strength" is interpreted as an indicator of performance, with stronger currencies having greater performances over the selected period (positive changes of higher magnitude).
The Currency Strength indicator allows users to analyze the relative strength of currencies over a user selected period - the returned results will reset periodically and will accumulate afterward.
The above chart shows the hourly relative strength of various currencies on the 1min TF.
🔹 Scatter Graph
The scatter graph displays the relative strength of a currency over its value during the previous period. This not only allows users to see if a currency is strong... but also if it's getting stronger compared to the previous period.
In order to quickly interpret results, the graph is divided into four areas. A currency (displayed as a point) being in a specific area returns the following information:
Strong(Green): Currency has a positive relative strength (bullish) and is greater than its value over the previous period.
Improving (Yellow): Currency has a negative relative strength (bearish) and is greater than its value over the previous period.
Weakening (Aqua): Currency has a positive relative strength (bullish) and is lower than its value over the previous period.
Weak (Red): Currency has a negative relative strength (bearish) and is lower than its value over the previous period.
🔶 DETAILS
There is a wide variety of methods for the calculation of a currency's relative strength. The primary focus of the indicator is on the meter as well as the relative strength scatter graph. The currency strength calculation can be considered more basic.
Given two currencies, B (base) and Q (quote), the proposed indicator calculation process is as follows:
Exchange rate BQ(t) over time t is obtained, a rising value of BQ(t) means that a unit of B is now worth a higher amount of Q , highlighting strength of B over Q on that precise variation.
The individual relative strength over time IRS(t) is obtained as the percentage relatively close to the open difference of BQ(t) , that is:
IRS(t) = / open(t) * 100
Normalizing the close to open difference allows for the various currencies' relative strengths to approximately share the same scale.
The above operation is performed n times over a space of n currencies O( n ) . The obtained individual relative strengths for one specific currency are then added together, forming the final composite relative strength ( CRS ) of that currency:
CRS (t) = IRS (t) + IRS (t) + ... + IRS (t)
The cumulative sum of CRS(t) over the user selected period is then obtained.
