RSI Momentum TrendThe "RSI Momentum Trend" indicator is a valuable tool for traders seeking to identify momentum trends.
By utilizing the Relative Strength Index (RSI) and customizable momentum thresholds, this indicator helps traders spot potential bullish and bearish signals.
you can adjust input parameters such as the RSI period, positive and negative momentum thresholds, and visual settings to align with their trading strategies.
The indicator calculates the RSI and evaluates two momentum conditions: positive and negative.
The positive condition considers the previous RSI value, current RSI value, and positive change in the 5-period exponential moving average (EMA) of the closing price.
The negative condition looks at the current RSI value and negative change in the 5-period EMA.
Once a momentum condition is met, the indicator visually represents the signal on the chart.
The "RSI Momentum Trend" indicator provides you with a quick and effective way to identify momentum trends using RSI calculations.
By incorporating visual cues and customizable parameters, it assists traders in making informed decisions about potential market movements.
Recherche dans les scripts pour "天铭科技RSI指标状态"
RSI Divergences on price chart - Open Source CodeHello Traders,
I have some exciting news to share with you all! Recently, I came across an incredible RSI divergences indicator developed by Socrate_FR. This indicator, in my opinion has an exceptional accuracy in detecting RSI divergences. However, during my exploration of other indicators in the TradingView library that display signals on the price chart, I found that many of them were often unreliable and missed out on important divergences.One such example is the Prices / RSI Divergences Detector by vtllr. Although vtllr did an amazing job with the indicator, I noticed that it didn't capture several relevant divergences accurately.
This observation inspired me to enhance the most accurate RSI divergences indicator available by showcasing the signals directly on the price chart. By doing so, I aimed to address the issue of unreliable and missed divergences in other price chart indicators. With this enhanced version, you can now effortlessly identify and track RSI regular divergences on the price chart itself:
-Regular bullish divergence occurs when the price forms lower lows while the RSI indicator forms higher lows. It suggests a potential bullish reversal (green line plot)
-Regular bearish divergence occurs when the price forms higher highs while the RSI indicator forms lower highs. It suggests a potential bearish reversal (red line plot)
Another key mofication:
This Indicator introduces a simpler approach compared to the original Socrate indicator. While Socrate differentiated divergences into eight types for both bullish and bearish scenarios, our enhanced version focuses on two distinct categories: small and big divergences. This decision was made to provide a clearer and more user-friendly experience. By condensing the divergence types into two groups, traders can easily identify and analyze the significance of the divergences without getting overwhelmed by excessive variations. The small divergences represent relatively minor divergences, while the big divergences indicate stronger and more significant signals.
-Small divergences represent relatively minor divergences (plotshape small circle)
-Big divergences indicate stronger signals (plotshape big circle)
I firmly believe that this enhanced RSI Divergences Indicator will be an invaluable tool for traders who rely on RSI analysis in their trading strategies. It combines the accuracy of Socrate_FR's original indicator with the enhanced visibility of signals on the price chart, ensuring you never miss any important divergences.
If you're interested in trying out this enhanced version of the indicator, please feel free to access the open-source code. If you want to visit and try the original version of the code visit Socrate_FR profile.
www.tradingview.com
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
Support us:)
If you find this new indicator helpful in your trading analysis, I would greatly appreciate your support! Please consider to follow, giving it a like, leaving feedback, or sharing it with your trading network. Your engagement will not only help me improve this tool but will also help other traders discover it and benefit from its features. Thank you for your support!
Rsi strategy for BTC with (Rsi SPX)
I hope this strategy is just an idea and a starting point, I use the correlation of the Sp500 with the Btc, this does not mean that this correlation will exist forever!. I love Trading view and I'm learning to program, I find correlations very interesting and here is a simple strategy.
This is a trading strategy script written in Pine Script language for use in TradingView. Here is a brief overview of the strategy:
The script uses the RSI (Relative Strength Index) technical indicator with a period of 14 on two securities: the S&P 500 (SPX) and the symbol corresponding to the current chart (presumably Bitcoin, based on the variable name "Btc_1h_fixed"). The RSI is plotted on the chart for both securities.
The script then sets up two trading conditions using the RSI values:
A long entry condition: when the RSI for the current symbol crosses above the RSI for the S&P 500, a long trade is opened using the "strategy.entry" function.
A short entry condition: when the RSI for the current symbol crosses below the RSI for the S&P 500, a short trade is opened using the "strategy.entry" function.
The script also includes a take profit input parameter that allows the user to set a percentage profit target for closing the trade. The take profit is set using the "strategy.exit" function.
Overall, the strategy aims to take advantage of divergences in RSI values between the current symbol and the S&P 500 by opening long or short trades accordingly. The take profit parameter allows the user to set a specific profit target for each trade. However, the script does not include any stop loss or risk management features, which should be considered when implementing the strategy in a real trading scenario.
RSI Divergence Strategywhat is "RSI Divergence Strategy"?
it is a RSI strategy based this indicator:
what it does?
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss.
how it does it?
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value.
How to use it?
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use.
RSI length is length of RSİ
source is source of RSİ
RSİ Divergence lenght is length of line on the RSI
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group.
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.
RSI DivergenceWhat is "RSI Divergence"?
"RSI Divergence" is a indicator that find RSI divergence automatically.
What it does?
When it finds an RSI divergence, it draws a line on the indicator.
How it does it?
The lines are found using the least squares method. If the signs of the linear regression on the graph and the linear regression plotted on the RSI are different, this is considered divergence.
How to use it?
RSI lenght = RSI lenght
source = source of RSI
RSI Divergence Lenght = lenght of lines that draws on indicator
zoom = zoom
examples:
RSI Reborn [New Formula]A unique non-standard RSI formula with my extensions.
The indicator is displayed without delays and repaints, immediately after the close of the candle.
This formula allows me to correctly include the moving average in the calculation. The calculation allows me to display RSI with any type of MA.
By default I use EMA, with this type of MA my RSI is not visually different from a regular RSI.
I have 11 types of RSI to choose from:
'EMA'
'ALMA'
'RMF'
'TilsonT3'
'ARSI'
'RMA'
'SMA'
'VWMA'
'WMA'
'WWMA'
'ZEMA'
You also have a choice of RSI display:
As candlesticks and as a simple line.
You can adjust the colors in the Style tab.
When you select 'Candles' type, you can make the wicks transparent if they bother you.
I also added a source selection. By default, any RSI uses the Close source.
But you can choose any of 15:
VWAP, Close, Open, HL2, HLC3, OHLC4, Volume, High, Low, vwap(Close), vwap(Open), vwap(High), vwap(Low), AVG(vwap(H,L)), AVG(vwap(O,C)).
Additional extensions:
Additional RSI added.
By default, the extra RSI is twice as long as the regular RSI. Despite the value of 14. The "Multiple of Current TF" function allows calling RSI from a timeframe twice as long as the current one, if it is equal to 2. If it is equal to 3, then it will be 3 times longer than the current timeframe. And so on.
An additional moving average has been added.
You can use it as an ordinary additional line. Or leave it as Cloud by default.
A unique oversold/oversold formula in the form of small red/green dots has been added.
Bolinger Bands feature has also been added.
RSI/RSX QQE Histogram w/ Discontinued Signal Line [Loxx]QQE Histogram w/ Discontinued Signal Line is a run-of-the-mill Qualitative Quantitative Estimation (QQE) calculation but with a signal line to better filter and identify trends. The thicker white line is the QSL and appears as a simple EMA. The two thin white lines are the fast and slow trends. The histogram changes color based on the DSL levels. This version of QQE also includes two different versions of RSI: Wilders and Jurik's RSX.
What is Qualitative Quantitative Estimation (QQE)?
The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR).
What is Wilders' RSI?
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI , when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions.
Included:
-Toggle on/off bar coloring
RSI BGCOLOR indicatorHi
This is a standard RSI indicator.
It changes the background color to green if the RSI reading is greater than the RSI bullish value and it changes to red if the RSI is below the RSI bearish value.
It will turn black for values between RSI bullish value and RSI bearish value.
You can tweak it to your liking, for example if you'd like to detect long only trades that are above 30 then you set RSI bearish value to 0 and RSI bullish value to 30 and it will only get long signals.
P.S More confirmation indicators will be necessary
[_ParkF]RSI (+ichimoku cloud)RSI
Typical RSI indicators were plotted with candles and expressed wick to resemble a candle chart,
and linear regression was added to predict changes in force intensity,
which allowed us to confirm support and resistance within linear regression .
In addition, divergence signal was marked as an additional basis for the price fluctuation point due to support and resistance .
In other words,
if the diversity signal appears together when the rsi candle is supported and resisted within linear regression ,
this is the basis for predicting that it is a point of change in the existing trend.
Finally, the period value and standard deviation of linear regression can be arbitrarily modified and used.
I hope it will help you with your trading.
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(+ichimoku cloud)
Clouds made of the preceding span 1 and the preceding span 2 of the balance table can predict the trend by displaying the current price balance ahead of the future.
In addition to the role of clouds in the above-described balance sheet, this indicator also shows the cloud band support and resistance of the current RSI value.
일반적인 RSI 지표를 캔들화 하였고 꼬리까지 포함하여 캔들 차트와 유사하게 표현 하고,
캔들화한 RSI 지표에 선형회귀(채널)를 추가 하여 RSI 지표 특유의 힘의 강도의 변화를 지지와 저항으로 확인할 수 있게 해봤습니다.
또한 다이버전스 신호를 추가하여 선형회귀(채널)로 인한 지지와 저항에 따른 가격 변동의 근거로 삼을 수 있습니다.
즉, 선형회귀(채널) 안에서 RSI 캔들이 지지와 저항을 받을 때 다이버전스 신호가 함께 나타난다면 이는 기존 추세의 변화 지점임을
예측해 볼 수 있는 근거가 됩니다.
마지막으로 선형회귀(채널)의 기간값과 표준편차는 임의로 수정하여 사용할 수 있습니다.
당신의 트레이딩에 도움이 되었으면 합니다.
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(+일목균형표의 구름)
일목균형표의 선행스팬1과 선행스팬2로 만들어진 구름은 현재 가격의 균형을 미래에 선행하여 표시하여 추세를 예측해볼 수 있습니다.
본 지표에서는 위에서 설명한 일목균형표의 구름의 역할과 더불어 현 RSI 값의 구름대 지지, 저항 또한 확인해볼 수 있습니다.
* I would like to express my gratitude to zdmre for revealing the linear regression source.
RSI V Pattern strategyThis strategy based on RSI for swing trading or short term trading
Strategy Rules
=============
LONG
1. ema20 is above ema50 --- candles are colored green on the chart
2. RSI value sharply coming up
previous candle1 low is previous candle2 low and previous candle1 RSI value is less than previous candle2
current candle RSI value is greater than previous candle1 and crossing above 30
above which makes a V shape on RSI indicator, colored in yellow on the chart , price bar is colored in yellow
3. Enter Long when the above V pattern occurs
EXIT LONG
1. when the RSI reaches 70 , close half position and move stop loss to up
2. when RSI reaches high value 90, close 3/4 position
3. when RSI crossing below 10 OR stopLoss hit , whichever happens first , close whole position
Note : take profit levels are colored in blue on RSI and Price candles
I have tested SPY , QQQ on daily chart , performance results are with 80% win rate and more than 3 profit factor
Happy Trading
RSI Swing SignalThis indicator is a tool designed to be used with Steven Hart's RSI Exhaustion strategy. For more information google TheTradingChannel or look him up on YouTube :)
The default RSI settings for this strategy are:
RSI Overbought: 80
RSI Oversold: 20
Length: 7
When the RSI gets above 80, the line will turn red and the script will begin looking for a specific type of engulfing candle to go short. The same is true when the RSI gets below 20, but the line will turn green and look for longs. It is best used as a back-testing aid, but it can also be used to send emails or SMS alerts whenever the conditions are met. It can also be used as an alternative colored RSI indicator by removing the signals in the settings menu and changing the RSI parameters to whatever you normally use. This can aid in RSI divergence and overbought/sold strategies.
Entries:
The bright green and bright red lines represent the first type of engulfing candle.
The dark green and red lines represent the second type of engulfing candle.
Some pairs perform best with only one of these entries, while others work fine with both.
This is a counter-trend or consolidation strategy, and is best used in combination with trend-continuation or trend-following strategies. As always, make sure you back-test it before you use it to trade as it works better on some pairs than others.
RSI ZonesThis is a combination of a couple ideas I saw on here. The result is from three configurable EMA smoothed RSI overbought/oversold zones. The default is set to Donchian Channel mode where the highs/lows of the RSI's are plotted. An optional basis line derived from the slowest RSI is also included. Toggling this mode off gives you different results.
You'll want to play with different lengths for your own preferences and to see what works best for you.
Being able to see price bounce between these zones should hopefully give you some ideas on how you could potentially use this.
Credit to LazyBear for the initial idea.
RSI and MACD Divergence IndicatorThe RSI and MACD Divergence Indicator is a custom Pine Script v6 indicator designed for TradingView that identifies and visualizes divergences between price movements and two technical indicators: the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD). Here's a brief explanation of its functionality:
Divergence Detection: The indicator detects both regular and hidden divergences for RSI, MACD (MACD Line), and Histogram. Regular bullish divergences occur when price makes a lower low but the indicator makes a higher low (suggesting a potential reversal upward), while regular bearish divergences occur when price makes a higher high but the indicator makes a lower high (suggesting a potential reversal downward). Hidden divergences indicate continuation patterns (e.g., higher low in price with a lower low in the indicator for bullish continuation).
Customizable Inputs:
Pivot Bars: Sets the number of bars used to confirm pivot highs and lows (default: 5).
RSI and MACD Parameters: Allows adjustment of RSI length (default: 14) and MACD settings (fast: 12, slow: 26, signal: 9).
Toggle Options: Enables/disables detection of regular and hidden divergences for RSI, MACD, and Histogram individually.
Confirmation: Option to wait for pivot confirmation (default: true), delaying divergence display until the pivot is fully formed.
Show Only Last Divergence: Toggles between showing only the most recent divergence (default: true) or all detected divergences (false), with previous lines and labels cleared when true.
Minimum Divergences: Sets the minimum number of divergence types required at a pivot to display (default: 1, max: 6).
Maximum Pivot Points: Limits the number of historical pivot points to check (default: 10).
Maximum Bars to Check: Restricts analysis to the last specified number of bars (default: 500).
Visualization:
Draws lines connecting the price pivot points where divergences are detected, with customizable colors, widths, and styles (solid, dashed, dotted) for RSI and MACD.
Displays a single label per pivot with vertically stacked text listing all detected divergence types (e.g., "RSI Bull Div\nMACD Bull Div"), using semi-transparent backgrounds (green for bullish, red for bearish) and white text.
RSI & DPO support/resistanceThis indicator combines the Relative Strength Index (RSI) to identify overbought and oversold conditions with the Detrended Price Oscillator (DPO) to highlight support and resistance levels.
Unlike traditional indicators that display these metrics in a separate window, this tool integrates them directly onto the main price chart.
This allows for a more cohesive analysis, enabling traders to easily visualize the relationship between price movements and momentum indicators in one unified view.
How to Use It:
Identify Overbought and Oversold Conditions:
Look for RSI values above 70 to identify overbought conditions, suggesting a potential price reversal or pullback. Conversely, RSI values below 30 indicate oversold conditions, which may signal a potential price bounce or upward movement.
Analyze Support and Resistance Levels:
Observe the DPO lines on the main chart to identify key support and resistance levels. When the price approaches these levels, it can provide insights into potential price reversals or breakouts.
Combine Signals for Trading Decisions:
Use the RSI and DPO signals together to make informed trading decisions. For example, if the RSI indicates an overbought condition while the price is near a resistance level identified by the DPO, it may be a good opportunity to consider selling or taking profits.
Monitor Divergences:
Watch for divergences between the RSI and price movements. If the price is making new highs while the RSI is not, it could indicate weakening momentum and a potential reversal.
Set Alerts:
Consider setting alerts for when the RSI crosses above or below the overbought or oversold thresholds, or when the price approaches significant support or resistance levels indicated by the DPO.
Practice Risk Management:
Always use proper risk management techniques, such as setting stop-loss orders and position sizing, to protect your capital while trading based on these indicators.
By following these steps, traders can effectively utilize this indicator to enhance their market analysis and improve their trading strategies.
RSI Strategy with Adjustable RSI and Stop-LossThis trading strategy uses the Relative Strength Index (RSI) and a Stop-Loss mechanism to make trading decisions. Here’s a breakdown of how it works:
RSI Calculation:
The RSI is calculated based on the user-defined length (rsi_length). This is a momentum oscillator that measures the speed and change of price movements.
Buy Condition:
The strategy generates a buy signal when the RSI value is below a user-defined threshold (rsi_threshold). This condition indicates that the asset might be oversold and potentially due for a rebound.
Stop-Loss Mechanism:
Upon triggering a buy signal, the strategy calculates the Stop-Loss level. The Stop-Loss level is set to a percentage below the entry price, as specified by the user (stop_loss_percent). This level is used to limit potential losses if the price moves against the trade.
Sell Condition:
A sell signal is generated when the current closing price is higher than the highest high of the previous day. This condition suggests that the price has reached a new high, and the strategy decides to exit the trade.
Plotting:
The RSI values are plotted on the chart for visual reference. A horizontal line is drawn at the RSI threshold level to help visualize the oversold condition.
Summary
Buying Strategy: When RSI is below the specified threshold, indicating potential oversold conditions.
Stop-Loss: Set based on a percentage of the entry price to limit potential losses.
Selling Strategy: When the price surpasses the highest high of the previous day, signaling a potential exit point.
This strategy aims to capture potential rebounds from oversold conditions and manage risk using a Stop-Loss mechanism. As with any trading strategy, it’s essential to test and optimize it under various market conditions to ensure its effectiveness.
RSI Screener / Heatmap - By LeviathanThis script allows you to quickly scan the market by displaying the RSI values of up to 280 tickers at once and visualizing them in an easy-to-understand format using labels with heatmap coloring.
📊 Source
The script can display the RSI from a custom timeframe (MTF) and custom length for the following data:
- Price
- OBV (On Balance Volume)
- Open Interest (for crypto tickers)
📋 Ticker Selection
This script uses a different approach for selecting tickers. Instead of inputting them one by one via input.symbol(), you can now copy-paste or edit a list of tickers in the text area window. This approach allows users to easily exchange ticker lists between each other and, for example, create multiple lists of tickers by sector, market cap, etc., and easily input them into the script. Full credit to @allanster for his functions for extracting tickers from the text. Users can switch between 7 groups of 40 tickers each, totaling 280 tickers.
🖥️ Display Types
- Screener with Labels: Each ticker has its own color-coded label located at its RSI value.
- Group Average RSI: A standard RSI plot that displays the average RSI of all tickers in the group.
- RSI Heatmap (coming soon): Color-coded rows displaying current and historical values of tickers.
- RSI Divergence Heatmap (coming soon): Color-coded rows displaying current and historical regular/hidden bullish/bearish divergences for tickers.
🎨 Appearance
Appearance is fully customizable via user inputs, allowing you to change heatmap/gradient colors, zone coloring, and more.
RSI Momentum Waves [Quantigenics]RSI Momentum Waves Indicator
The RSI Momentum Waves Indicator is your intuitive tool for visualizing market strength and trend persistence. It refines the classic RSI by smoothing the data with Exponential Moving Averages (EMAs), which help clear out the noise to give you a more accurate picture of where the market’s heading. The parameters - RSI Period, Smoothing Period, Overbought, Oversold, Upper Neutral Zone, and Lower Neutral Zone - are all adjustable, so you can tailor the indicator to different market conditions or your trading style.
How It Works:
RSI Period (RsiPer): Adjusts how far back the RSI looks to calculate its value, affecting its sensitivity.
Smoothing Period (SmoothPer): Dictates how smooth the EMA lines are, balancing between sensitivity and noise reduction.
Overbought (OBLevel) / Oversold (OSLevel) Levels: Set the thresholds where the market might be too stretched in either direction and due for a reversal.
Neutral Zones (UpperNZ / LowerNZ): Define the areas where the market is considered neutral, and trend strength is less clear.
Trading Instructions:
Use the RSI Momentum Waves to gain insights into the market’s momentum and make informed decisions:
For Trend Identification: If the waves are consistently above the 50 line and climbing, the market may be bullish; if below and declining, bearish signals are suggested.
Overbought and Oversold Regions: Entering these areas might indicate a potential reversal. A peak and downturn in the overbought region can signal a sell, while a trough and upturn in the oversold region can indicate a buy.
Neutral Zone Caution: In the neutral zones, exercise caution and wait for a breakout in either direction for stronger signals.
Confirm with Other Analysis: Never rely solely on one indicator. Confirm the RSI Momentum Waves signals with other technical indicators or fundamental analysis for best practices.
Remember, the goal is to detect the rhythm of the market’s momentum and act accordingly. Happy trading!
RSI in Candlestick MODEDescription:
The "RSI Bar" indicator is a versatile tool designed to enhance your technical analysis on trading charts. This Pine Script™ code calculates the Relative Strength Index (RSI) for open, close, high, and low prices, and represents the results as bars on the chart. The bars are color-coded based on whether the closing RSI is higher or lower than the opening RSI.
Additionally, the indicator incorporates advanced features such as Pareto analysis and Gaussian smoothing. The Pareto analysis helps identify significant lows and highs in the RSI, providing insights into potential trend reversals. The Gaussian smoothing further refines the analysis, contributing to a more accurate representation of the average RSI trend.
Key Features:
RSI calculation for open, close, high, and low prices.
Color-coded bars for easy visualization of RSI trends.
Pareto analysis to highlight key RSI levels indicating potential reversals.
Gaussian smoothing for improved trend analysis and visualization.
Heiken-Ashi
RSI/MFI Selling Sentiment IndexPsychological Sales Index (Psychological Sales Index)
Fundamental Indicators of Market Sentiment: The Importance of MFI and RSI
The two fundamental indicators that best reflect market sentiment are Money Flow Index (MFI) and Relative Strength Index (RSI). MFI is an indicator of the flow of funds in a market by combining price and volume, which is used to determine whether a stock is over-bought or over-selling. RSI is an indicator of the overheating of the market by measuring the rise and fall of prices, which is applied to the analysis of the relative strength of stock prices. These two indicators allow a quantitative assessment of the market's buying and selling pressure, which provides important information to understand the psychological state of market participants.
Using timing and fundamental metrics
In order to grasp the effective timing of the sale, in-depth consideration was needed on how to use basic indicators. MFI and RSI represent the buying and selling pressures of the market, respectively, but there is a limit to reflecting the overall trend of the market alone. As a result, a study on how to capture more accurate selling points was conducted by comprehensively considering technical analysis along with psychological factors of the market.
The importance of ADX integration and weighting
The "Average Regional Index (ADX)" was missing in the early version. ADX is an indicator of the strength of a trend, and has experienced a problem of less accuracy in selling sentiment indicators, especially in the upward trend. To address this, we incorporated ADX and adopted a method of adjusting the weights of MFI and RSI according to the values of ADX. A high ADX value implies the existence of a strong trend, in which case it is appropriate to reduce the influence of MFI and RSI to give more importance to the strength of the trend. Conversely, a low ADX value increases the influence of MFI and RSI, putting more weight on the psychological elements of the market.
How to use and interpret
The user can adjust several parameters. Key inputs include 'Length', 'Overbought Threshold', 'DI Length', and 'ADX Smoothing'. These parameters are used to set the calculation period, overselling threshold, DI length, and ADX smoothing period of the indicator, respectively. The script calculates the psychological selling index based on MFI, RSI, and ADX. The calculated index is normalized to values between 0 and 100 and is displayed in the graph. Values above 'Overbought Threshold' indicate an overselling state, which can be interpreted as a potential selling signal. This index allows investors to comprehensively evaluate the psychological state of the market and the strength of trends, which can be used to make more accurate selling decisions.
RSI Radar Multi Time FrameHello All!
First of all many Thanks to Tradingview and Pine Team for developing Pine Language all the time! Now we have a new feature and it's called Polylines and I developed RSI Radar Multi Time Frame . This script is an example and experimental work, you can use it as you wish.
The scripts gets RSI values from 6 different time frames, it doesn't matter the time frame you choose is higher/lower or chart time frame. it means that the script can get RSI values from higher or lower time frames than chart time frame.
It's designed to show RSI Radar all the time on the chart even if you zoom in/out or scroll left/right.
You can set OB/OS or RSI line colors. Also RSI polyline is shown as Curved/Hexagon optionally.
Some screenshots here:
Doesn't matter if you zoom out, it can show RSI radar in the visible area:
Another example:
You can change the colors, or see the RSI as Hexagon:
Time frames from seconds to 1Day in this example while chart time frame is any ( 30mins here )
Enjoy!
RSI MACDDifferent Perspective : By using the RSI as the source for MACD calculation, you are incorporating the RSI's characteristics into the MACD indicator. The RSI measures the speed and change of price movements, while the MACD focuses on the convergence and divergence of moving averages. Combining these two indicators may provide a different perspective on market conditions.
Smoothed MACD : Since the RSI is being used as the source for the MACD calculation, the resulting MACD line (macd1 in the code) may exhibit smoother movements compared to a traditional MACD calculated directly from price data. This smoothing effect could potentially help filter out noise and provide a clearer representation of trend changes.
RSI Confirmation : The RSI is often used to identify overbought and oversold conditions. By incorporating the RSI into the MACD calculation, you can potentially gain additional confirmation when the MACD line crosses above or below zero. For example, if the MACD line crosses above zero and the RSI is in an oversold region, it could provide stronger confirmation for a bullish signal.
Example:
RSI-MFI Machine Learning [ Manhattan distance ]The RSI-MFI Machine Learning Indicator is a technical analysis tool that combines the Relative Strength Index (RSI) and Money Flow Index (MFI) indicators with the Manhattan distance metric.
It aims to provide insights into potential trade setups by leveraging machine learning principles and calculating distances between current and historical data points.
The indicator starts by calculating the RSI and MFI values based on the specified periods for each indicator.
The RSI measures the strength and speed of price movements, while the MFI evaluates the inflow and outflow of money in the market.
By combining these two indicators, the indicator captures both price momentum and money flow dynamics.
To apply machine learning principles , the indicator utilizes the Manhattan distance metric to quantify the similarity or dissimilarity between different data points.
The Manhattan distance is calculated by taking the absolute differences between corresponding RSI and MFI values of the current point and historical points.
Next, the indicator determines the nearest neighbors based on the calculated Manhattan distances.
The number of nearest neighbors is determined by the square root of the specified count of neighbors.
By identifying similar patterns and behaviors in the historical data, the indicator aims to uncover potential trade opportunities.
Trade signals are generated based on the calculated distances. The indicator compares each distance with the maximum distance encountered so far.
If a new maximum distance is found, it updates the value and considers the corresponding direction as a potential trade signal. The trade signals are stored in an array for further analysis.
Furthermore, the indicator considers the price action and a calculated regression line to differentiate between long and short trade signals.
Long trade signals are identified when the closing price is above the regression line, indicating a potentially bullish setup.
Short trade signals are identified when the closing price is below the regression line, indicating a potentially bearish setup.
The RSI-MFI Machine Learning Indicator visualizes the regression line on the price chart and labels the bars accordingly. It highlights the regression line with different colors based on the trade signals, making it easier for traders to identify potential entry or exit points.
Traders can use the RSI-MFI Machine Learning Indicator as a tool to analyze price movements, evaluate market conditions based on RSI and MFI, leverage machine learning concepts to find similar patterns, and make informed trading decisions.
RSI Moving Average CrossoversThis script is an improved version of the RSI indicator, using a moving average on the RSI itself, as well as two other moving averages used to determine the current trend.
A small screener indicating the current movement is displayed in the bottom-left zone of the chart: trend (Bullish/Bearish/Uncertain) and status (Impulse or Correction)
Trends are simply based on moving averages crossovers, coupled to the fact that the current candle closes above the fast MA in a bull trend, and under the fast MA in a bear trend. In other cases, the trend and the movement are considered as "Uncertain" by the indicator.
Options
Various types of moving averages for the RSI and trend MA
Show/Hide crossovers between the RSI and its MA
Color the RSI normal zone with the current trend/movement colors
Show/Hide the screener indicating the current movement
Defaults Parameters
Fast MA 20
Slow MA 50
MA source: Close
RSI Length 14
RSI MA: SMMA (RMA)
RSI MA Length: 20
Don't hesitate to suggest any idea which could improve this indicator.
