Logistic RSI, STOCH, ROC, AO, ... by DGTExperimental attemt of applying Logistic Map Equation for some of widly used indicators.
With this study "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)" and a custom interpretation of Logistic Map Equation is presented
Calculations with Logistic Map Equation makes sense when the calculated results are iterated many times within the same equation.
Here is the Logistic Map Equation : Xn+1 = r * Xn * (1 - Xn)
Where, the value of r is the key for this equation which changes amazingly the behaviour of the Logistic Map.
The value we have asigned for r is less then 1 and greater than 0 ( 0 < r < 1) and in this case the iterations performed with the maximum number of output series allowed by Pine is quite enough for our purpose and thanks to arrays we can easiliy store them for further processing
What we have as output:
Each iteration result is then plotted (excluding plotting the first iteration), as circles or line based on user preference
Values above and below zero level (0) are coloured differently to emphasis bull and bear power
Finally Standard Deviation of Array's Elements is ploted as line. Users may choose to display this line only
So where it comes the indicators "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)".
Those are the indicators whose values are assigned to our key varaiable in the Logistic Map equation forulma which is r
Further details regarding Logistic Map can found under the description of “Logistic EMA w/ Signals by DGT” study
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Cari dalam skrip untuk "relative strength"
RS4r OscillatorOscillator based on Garofallou's RS4r indicator. It has been modified to compare the Relative Strength of any asset against QQQ . SPY , IWM , VGK , EWJ , DBC , GLD , HYG , LQD , TLT ETFs.
Readings above 80 points suggest great relative strength against these ETFs.
Average Sentiment OscillatorDescription of this indicator from its author:
Average Sentiment Oscillator
Momentum oscillator of averaged bull/bear percentages.
We suggest using it as a relatively accurate way to gauge the sentiment of a given period of candles, as a trend filter or for entry/exit signals.
It’s a combination of two algorithms, both essentially the same but applied in a different way. The first one analyzes the bullish/bearishness of each bar using OHLC prices then averages all percentages in the period group of bars (eg. 10) to give the final % value. The second one treats the period group of bars as one bar and then determines the sentiment percentage with the OHLC points of the group. The first one is noisy but more accurate in respect to intra-bar sentiment, whereas the second gives a smoother result and adds more weight to the range of price movement. They can be used separately as Mode 1 and Mode 2 in the indicator settings, or combined as Mode 0.
Original indicator idea from Benjamin Joshua Nash, converted from MT4 version
Usage:
The blue line is Bulls %, red line is Bears %. As they are both percentages of 100, they mirror each other. The higher line is the dominating sentiment. The lines crossing the 50% centreline mark the shift of power between bulls and bears, and this often provides a good entry or exit signal, i.e. if the blue line closes above 50% on the last bar, Buy or exit Sell, if the red line closes above 50% on the last bar, Sell or exit Buy. These entries are better when average volume is high.
It's also possible to see the relative strength of the swings/trend, i.e. a blue peak is higher than the preceding red one. A clear divergence can be seen in the picture as the second bullish peak registers as a lower strength on the oscillator but moved higher on the price chart. By setting up levels at the 70% and 30% mark the oscillator can also be used for trading overbought/oversold levels similar to a Stochastic or RSI. As is the rule with most indicators, a smaller period gives more leading signals and a larger period gives less false signals.
KINSKI RSI Short/LongExtends the display of the Relative Strength Index (RSI) by shorts and longs from Bitmex and shows them as a diagram.
How to interpret the display?
- blue line is the default Relative Strength Index
- red line means "oversold
- green line "overbought"
- grey dotted line up/down indicates the optimal range for up and down movements 30 to 70
- in general, the reaching or crossing of the thresholds in the direction of the mid-range is seen as a possible buy or sell signal
- RSI values (blue line) of over 70 percent are considered "overbought", values below 30 percent "oversold
Which settings can be made?
- Selection for the "Currency". Default value is "BTCUSD". Currently only the following currencies are supported "BTCUSD", "ETHUSD", "ETCUSD", "OMGUSD", "XLMUSD", "XTZUSD".
- Selection for calculation formula ("Calculation"). The default value is "hlc3".
- Field for the moving average value ("RSI Length"). The default value is 14, but values of 7, 9 or 25 are also common. The shorter the period under consideration, the more volatile the indicator is, but with longer periods, fewer signals are triggered.
- furthermore you can make layout adjustments via the "Style" menu
Relative Volume Strength IndexRVSI is an alternative volume-based indicator that measures the rate of change of average OBV.
How to read a chart using it?
First signal to buy is when you see RVSI is close to green oversold levels.
Once RVSI passes above it's orange EMA, that would be the second alert of accumulation.
Be always cautious when it reaches 50 level as a random statistical correction can be expected because of "market noises".
You know it's a serious uptrend when it reaches above 75 and fluctuates there, grading behind EMA.
The best signal to sell would be a situation where you see RVSI passing below it's EMA when the whole thing is close to Red overbought level
It looks simple, but it's powerful!
I'd use RVSI in combination with price-based indicators.
FX Currency Strength IndicatorFX Currency strength indicator is a visual guide that demonstrates which currencies are currently strong, and which ones are weak.
FX Currency strength indicators include multiple calculation to choose from
1. Relative Strength Index (RSI)
2. True Strength Index (TSI)
3. Absolute Strength Index (ASI)
4. Linear Regression Slope (LRS)
5. Rate of Change (ROC)
6. Z-Score
Three display modes
1. Lines
2. Columns
3. Areas
Market Adaptive Stop-LossI realized that the zone changes in the stoploss remained slow, so I couldn't make enough use of the characteristics of technical indicators when opening positions.
This pushed me to keep stop-loss under the influence of a dependent variable.
This script helped me a lot (everget) :
I've redesigned the stop-loss to be affected by intersections.
Therefore, this script is also suitable for adaptive moving averages, fractional periods.
Script features:
1.You can select calculation methods created by using various technical analysis methods from the scripts' settings:
-Moving Average Convergence Divergence ( Macd )
-Stochastic Oscillator ( Stoch )
-Stochastic Relative Strength Index (StochRSI)
-Stochastic Money Flow Index (StochMFI ) (More info : )
-Know Sure Thing ( KST )
-OBV ( On Balance Volume )
-SMA ( Simple Moving Average )
-EMA ( Exponential Moving Average )
-FISHERTRANSFORM ( Fisher Transform )
-AWESOMEOSCILLATOR( Awesome Oscillator )
-PSAR ( Parabolic Stop and Reverse - Parabolic SAR )
-HULLMA( Hull Moving Average )
-VWMA ( Volume Weighted Moving Average )
-RMA (Moving Average using in Relative Strength Index calculations.)
-COG (Center of Gravity )
-ACC-DIST ( Accumulation / Distribution Index )
2 - The region is determined according to the above calculation methods and if it is larger or smaller than the previous stop loss level.
And if the price in the negative zone is lower than the stoploss, it is the exact signal and is shown with more highlighted colors.
And, in the positive zone, where the price is greater than the stoploss, the trade zones are certain.
Shown with more highlighted colors.
If the zones are correct but stop-loss is not suitable for opening positions:
In other words, if the stop-loss is above/under the highest-lowest levels in the positive zone or if the stop loss is located in the lower zone in the negative zone, these zones are shown to be darker and dimmed so that they do not cause false movements.
*** SUMMARY : As a result, you can use this script with support and resistances,and trend lines to get good results.
I hope it helps in your analyzes. Best regards.
Dow Factor Stoch RSIThe indicator was generated by adding the Dow Factor to the Stochastic Relative Strength Index.( Stoch RSI )
The Dow factor is the effect of the correlation coefficient, which determines the relationship between volume and price, on the existing indicators.
With these codes we are able to integrate them numerically into the indicators.
For more information on the Dow factor, please see my indicator:
This code is open source under the MIT license. ( github.com )
My dow factor updates will continue.We adapted the indicators and saw successful results, now it is time to examine and develop the factor itself.
Stay tuned , best regards.
%G OscillatorIntroduction
Rescaling often involve bringing a series of values in a certain range, there have been many rescaling methods proposed in technical analysis such as the stochastic oscillator, relative strength index or the William %R to name a few. Rescaling the price allow the user to see when the security is overbought or oversold, in the case of the stochastic oscillator it can also determine the price position relative to the highest and lowest price over a user defined period window.
Computing highest and lowest over a certain period window involve calculating what is called a rolling maximum/minimum, those calculations have tried to be efficient but they can still remain relatively complex. This is why i propose a similar rescaling indicator that don't use rolling maximum/minimum for its calculation, the indicator can be interpreted like the stochastic oscillator since they are similar.
The Indicator
The indicator is based on the current price position relative to past observations, for example, if the indicator is equal to 80, this mean that the current price is greater than 80% of the k past observations, where k = 1, 2, 3...length .
The indicator offer many benefits such as a custom rescaling range, unlike the stochastic oscillator this step is directly integrated in the core calculations of the indicator, this can be done by changing the code in line 7 :
a = src > src ? Max : Min
where Max should be the maximum value of the indicator and Min the minimum value, therefore the indicator would lay in a range of (Max,Min).
here the indicator is in a range of (5,2), this mean that :
a = src > src ? 5 : 2
Conclusion
I proposed an alternative to the stochastic oscillator. Both indicators return similar results, advantages of the proposed indicators are its simple calculation and its ability to return custom ranges. I hope it find its use in the community.
Thanks for reading !
T-Step LSMAIntroduction
The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on their calculations. This is why i propose a new indicator (T-Step LSMA) which aim to gather all the components of the trend-step indicator family (including the auto-line family).
The indicator will use as a threshold the mean absolute error between the input and the output (T-Channel) scaled with the efficiency ratio (Efficient Trend Step) while using least squares in order to provide a better fit with the price (Auto-Filter).
The Indicator
The interpretation of the indicator is easy, the indicator estimate an up-trending market when in blue, down-trending when in orange, the signal only depend on the trend-step part ( b in the code).
length control the period of the efficiency ratio as well as any components in the lsma calculation. The efficiency ratio allow to provide adaptivity, therefore the threshold will be lower when market is trending and higher when market is ranging.
Sc control the amount of feedback of the indicator, a value of 1 will use only the closing price as input, a value of 0.5 will use 50% of the closing price/indicator output as input, this allow to get smoother results.
It is possible to get the non-smooth version of the indicator by checking "No Smoothing".
This allow the indicator to filter more information.
Least Squares Smoothing - Benefits
One could ask why introducing least squares smoothing, there are several reasons to this choice, we have seen that trend-step indicators are boxy, they filter most of the variational information in the price, introducing least squares smoothing allow to gain back some of this variational information while providing a better fit with the price, the indicator is more noisy but also more practical in certain situations.
For example the indicator in its boxy form can't really be useful as input for other indicators, which is not the case with this version.
Relative strength index of period 14 using the proposed indicator as input.
Down-Sides
The indicator is dependent on the time frame used, larger time frames resulting in an indicator overfitting, sticking with lower time frames might be ideal. The indicator behavior might also change depending on the market in which it is applied.
Setting Up Alerts For The Indicator
Alerts conditions are already set, in order to create an alert based on the indicator follow these steps :
Go to the alert section (the alarm clock) -> create new alert -> select T-Step LSMA in condition -> Below select Up or Dn (Up for a up-trending alert and Dn for a down-trending alert)
In option select "once per bar close", change the message if you want a personalized message.
Conclusion
I don't think i'll post other indicators related to the trend-step framework for the time to comes, nonetheless the ones posted proven to have interesting results as well as many upsides. Although i don't think they would generate positive long-terms returns they could still be of use when using smarter volatility metrics as threshold. The proposed indicator conserve more information than its relatives and might find some use as input for other indicators.
Recommended Use Of The Code
Although i don't put restrictions on the code usage, i still recommend creative and pertinent changes to be made, graphical changes or any minor changes are not necessary, remember that such practice is disrespectful toward the author, you don't want to load up the tradingview servers for nothing right ?
Support Me
Making indicators sure is hard, it takes time and it can be quite lonely to, so i would love talking with you guys while making them :) There isn't better support than the one provided by your friends so drop me a message.
Price Relative / Relative Strength Comparative [NeoButane] "The Price Relative indicator compares the performance of one security to another with a ratio chart."
Divergences and chart patterns can apply to this ratio.
This was created because I wanted to compare bitcoin to currency/stock indices. So far I've seen mostly confluence with cryptos. Comparing stocks against market indices better shows where the index begins to outperform the stock before price action can reveal dips in price. Using same length moving averages or divergences can help spot that.
There's a glitch where candle colors turn blue when editing. Turn the candles on and off to fix it.
Reference: stockcharts.com
Formula:
Price Relative = Base Security / Comparative Security
Ratio Symbol Close = Close of First Symbol / Close of Second Symbol
Ratio Symbol Open = Open of First Symbol / Close of Second Symbol
Ratio Symbol High = High of First Symbol / Close of Second Symbol
Ratio Symbol Low = Low of First Symbol / Close of Second Symbol
Note: Although StockCharts states
"Base Security / Comparative Security"
I've used
"Base Security / (Base Security + Comparative Security)
to create a ratio as the article has stated it should be.
Possible use: margin/CVD
Relative Performance between between Stock and SPXSimply plots the close to close performance of your instrument vs SPX below your main chart
Offers further SMA of EMA of such relative performance to get a better idea of the relative strength against the major market
Accumulation/Distribution Percentage (ADP) [Cyrus c|:D]Accumulation/Distribution Percentage ( ADP ) is used to measure money flow similar to Chaikin Money Flow ( CMF ) and Money Flow. It is the range-bound version of my previous indicator ADMF. This indicator can be used for analyzing momentum, buy/sell pressure, and overbought/oversold conditions. I believe that this indicator is more accurate than CMF and MFI (I will publish a TA about it one day!).
What to look for:
- When this indicator moves up, it means buy pressure is increasing and the other way around for sell pressure. Crossing 0 means that trend has changed in the given period (it is best to look for confirmation of buy/sell pressure in larger TFs)
- Overbought above 40 and oversold below -40 (these numbers vary depending on the security. Look for historical levels to determine overbought and oversold conditions of each security)
- Regular divergence shows that momentum of a trend is declining. Hidden divergence implies continuation of a trend. The non-bound mode should be more accurate for identifying divergence.
- Failure swings can detect potential reversals.
Please read Relative Strength Index and Money Flow for more information and similar disclaimers.
Recommendations:
- hlc3 (AKA typical price) as input source might be better than "close" as it captures more information. If you use hlc3 as a source, then change the chart type to line and set hlc3 as the source for identifying divergence.
- Use hybrid tickers e.g.(BITFINEX:BTCUSD+COINBASE:BTCUSD+BITSTAMP:BTCUSD)/3. Volume-based indicators are susceptible to wash trading/volume printing and hybrid tickers mitigate this issue.
- In non-bound mode, small TFs with longer length should be more accurate than larger TFs with standard length (same is true for many other indicators)
Background:
I have developed 4 indicators based on a simple but elegant concept of A/D ratio. A/D ratio is equal to (current close - previous close)/True Range (when there are no price gaps, True Range = High - Low)
1) What you see on ADV indicator as darker green and red is equal to A/D ratio x volume.
2) ADL indicator shows the summation of ADV
3) ADMF (or ADP in non-bound mode) shows Moving Average of ADV
4) ADP shows relative accumulation strength which is calculated as RMA (accumulations)/RMA(accumulation + distribution). ADP equation is based on RSI equation which is RMA(gains)/RMA(gains + losses). That is why these two indicators look quite similar.
PS: Please leave a like if you find these indicators useful. I am working on improvements on these and other indicators. I am trying my best to keep them as simple as possible. Please let me know in the comments if you want me to make future indicators even simpler.
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Complementary indicators based on the same concept:
ADL: a replacement for Chaikin's Accum/Dist, On Balance Volume, and Price Volume Trend
ADV: a replacement for regular volume indicator
ADP also has a scaled RSI and ADMF built in (ie ADMF is obsolete).
TTM SQUEEZE with ALERT by NM// ######################################################################################
// This script was created because the original TTM Squeeze script
// did trigger when only one of the Bollinger Bands was
// in the Keltner channel. It now gives the option to use it as was
// or to force it to only give a signal when both BB are in the Keltner channels
//
// Furthermore an alert was added to fire when we are squeezing
// no matter which option your choose (original or strict)
//
// To create an alert, click on the alerts in the right column on your screen
// then click on the +button to add an alert.
// Select from the conditions "CTTV Squeeze" and "Once per bar close"
// Keep in mind that you set this alert for one instrument and one particular time frame
//
// If you would have any questions, contact me :
// TradingView : @Nico.Muselle
// ######################################################################################
How to start using this script ?
1. Add this script to your favorites
2. Click on the Indicator-button on the top bar of your chart
3. Click on Favorites and find CTTV TTM
Do also check out my other indicators :
Percentage change -
Power Moving Average Pro - (use Moving Averages of higher time frames on lower time frame charts) -
Power Moving Average - (use 1 moving average of a higher time frame on the current time frame) -
BitFinex Longs vs. Shorts -
Relative Strength Index Direction -
Reversal Candles -
EMADiff -
Improved Linear Regression Bull and Bear Power v02 -
Improved Linear Regression Bull and Bear Power v01 -
PS : Sorry about the messy chart - Bottom indicators show the TTM Squeeze, top one being the original posted here, bottom one being the more strict option.
STAN WEINSTEIN RS INDEX WITH NIFTYThis is an indicator for Indian markets.
It shows the relative strength of particular stock to the underlying index.
The concept of this indicator is well described in Stan Weinstein's book.
Laguerre RSI Multi-Time FrameThe Laguerre RSI Indicator is a modification of the well-known relative strength indicator or RSI. John F. Ehlers, the famous trader who created the Laguerre RSI, tried to avoid whipsaws (noise) and lag produced by smoothing technical indicators by applying a filter and some changes to the original relative strength indicator. The result is a technical indicator that is more responsive and has much less noise than the original RSI indicator.
The multi-time frame LRSI is used to have multiple RSI oscillators on the screen at once that are derived from different intervals. This allows the trader to see setups in multiple time frames.
Apirine Slow RSI [LazyBear]The slow relative strength index (SRSI) indicator created by Vitali Apirine is a momentum price oscillator similar to RSI in its application and interpretation. Oscillating between 0 and 100, it generates both OB/OS signals and midline (50) cross over signals and divergences.
As author suggests, bullish/bearish divergences generated by SRSI are not as effective during strong trends. To avoid fading an established trend, the system is used in conjunction with a trend confirmation tool like ADX indicator.
You can configure the OB/OS levels, default are 70/30.
More info:
The slow relative strength index, TASC 2015-07
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
Relative Volatility Index The RVI is a modified form of the relative strength index (RSI).
The original RSI calculation separates one-day net changes into
positive closes and negative closes, then smoothes the data and
normalizes the ratio on a scale of zero to 100 as the basis for the
formula. The RVI uses the same basic formula but substitutes the
10-day standard deviation of the closing prices for either the up
close or the down close. The goal is to create an indicator that
measures the general direction of volatility. The volatility is
being measured by the 10-days standard deviation of the closing prices.
Indicator: Kairi Relative Index (KRI)KRI is a leading indicator, just like RSI. More info: www.etoro.com
I have noticed KRI producing less false-divergences compared to RSI (in my limited BTC backtesting).
Give it a try / backtest on your instrument. Appreciate a note here on what you think.
AekFreedom Trading OscillatorAekFreedom Trading Oscillator: User Guide
Overview
The AekFreedom Trading Oscillator is a comprehensive, all-in-one technical analysis tool designed for TradingView. It consolidates a powerful suite of essential indicators into a single, highly customizable indicator pane. The primary goal is to reduce chart clutter and provide traders with a multi-faceted view of the market, combining momentum, trend strength, volatility, and divergence signals in one place.
Core Features & Indicators
This script includes the following fully customizable indicators:
Relative Strength Index (RSI): A core momentum oscillator used to measure the speed and change of price movements. It features gradient fills for overbought (70-100) and oversold (0-30) zones, along with an optional smoothing moving average.
Stochastic Oscillator: Another momentum indicator that compares a particular closing price of a security to a range of its prices over a certain period of time to identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): A trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs). It includes the MACD line, Signal line, and Histogram.
Awesome Oscillator (AO): A momentum indicator that measures the market's driving force by comparing recent momentum with general momentum over a wider timeframe.
ADX (Average Directional Index): An indicator used to quantify the strength of a trend, regardless of its direction (up or down). An ADX value over 25 typically suggests a strong trend.
ATR (Average True Range): A key indicator for measuring market volatility.
Advanced Divergence Engine
One of the most powerful features of this script is its built-in Divergence Engine. It can automatically detect and display both Regular Bullish and Regular Bearish divergences.
Supported Indicators: Divergence detection is available for RSI, Awesome Oscillator (AO), and the MACD Line.
Visual Signals: When a divergence is found, the script will:
Draw a line on the oscillator connecting the relevant pivot points.
Display a "Bull" or "Bear" label directly below or above the signal for easy identification.
Alerts: You can set up alerts in TradingView that will trigger whenever a new divergence signal appears.
How to Use: Settings Panel
The indicator is fully customizable via the settings panel.
Indicator Visibility
This is your main control panel for toggling visuals on and off to keep your chart clean.
Show...: Check or uncheck any indicator (e.g., Show RSI & MA, Show Stochastic, Show ATR) to display or hide it instantly.
Show... Divergence: Use these checkboxes (e.g., Show RSI Divergence) to control the visibility of the divergence lines and labels on the chart.
Indicator-Specific Settings
Each indicator has its own group of settings for fine-tuning its parameters.
RSI / AO / MACD Settings:
Here you can adjust standard parameters like Length, Source, etc.
IMPORTANT: Each of these has a Calculate Divergence checkbox. You must enable this checkbox for the script to perform the resource-intensive calculation for that indicator's divergence.
Stochastic Settings: Adjust the %K Length, %K Smoothing, and %D Smoothing.
ADX Settings: Adjust the ADX Smoothing and DI Length.
ATR Settings: Adjust the Length for the ATR calculation.
📌 How to Enable Divergence Signals (2 Steps):
To see divergence for an indicator (e.g., MACD), you must do two things:
Go to "MACD Settings" and check the box for Calculate Divergence.
Go to "Indicator Visibility" and ensure the box for Show MACD Divergence is also checked.
All-in-One Indicator 📌 All-in-One Indicator
This script combines multiple widely used trading indicators into a single, customizable tool — giving traders flexibility without cluttering charts.
**Included Indicators (toggle ON/OFF in settings):**
* **MACD** – Line, Signal, and Histogram with adjustable lengths.
* **Moving Averages (MA1, MA2, MA3)** – Choose between EMA/SMA, fully configurable.
* **RSI** – Relative Strength Index with selectable length & source.
* **VWAP** – Volume Weighted Average Price.
* **Supertrend** – ATR-based trend-following indicator.
* **ADX / DMI** – Trend strength indicator.
* **Stochastic Oscillator** – %K and %D with smoothing.
* **Bollinger Bands** – Upper and Lower Bands.
* *(Ichimoku Cloud inputs are prepared but currently commented out.)*
**Features:**
✔️ Turn each indicator ON/OFF as needed.
✔️ Adjustable parameters for maximum flexibility.
✔️ Overlay and panel-based indicators combined in one script.
✔️ Simplifies chart management — no need to load multiple separate indicators.
🔎 **Best Use Case**: Perfect for traders who rely on confluence across multiple indicators (trend, momentum, volatility, strength) but want them in one place.
⚠️ **Note**: By default, some indicators (e.g., MAs, VWAP, Supertrend, Bollinger) require `overlay=true`. Others like MACD, RSI, ADX, and Stochastic display best in a separate panel. Adjust depending on your preference.
Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
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⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Guitar Hero [theUltimator5]The Guitar Hero indicator transforms traditional oscillator signals into a visually engaging, game-like display reminiscent of the popular Guitar Hero video game. Instead of standard line plots, this indicator presents oscillator values as colored segments or blocks, making it easier to quickly identify market conditions at a glance.
Choose from 8 different technical oscillators:
RSI (Relative Strength Index)
Stochastic %K
Stochastic %D
Williams %R
CCI (Commodity Channel Index)
MFI (Money Flow Index)
TSI (True Strength Index)
Ultimate Oscillator
Visual Display Modes
1) Boxes Mode : Creates distinct rectangular boxes for each bar, providing a clean, segmented appearance. (default)
This visual display is limited by the amount of box plots that TradingView allows on each indictor, so it will only plot a limited history. If you want to view a similar visual display that has minor breaks between boxes, then use the fill mode.
2) Fill Mode : Uses filled areas between plot boundaries.
Use this mode when you want to view the plots further back in history without the strict drawing limitations.
Five-Level Color-Coded System
The indicator normalizes all oscillator values to a 0-100 scale and categorizes them into five distinct levels:
Level 1 (Red): Very Oversold (0-19)
Level 2 (Orange): Oversold (20-29)
Level 3 (Yellow): Neutral (30-70)
Level 4 (Aqua): Overbought (71-80)
Level 5 (Lime): Very Overbought (81-100)
Customization Options
Signal Parameters
Signal Length: Primary period for oscillator calculation (default: 14)
Signal Length 2: Secondary period for Stochastic %D and TSI (default: 3)
Signal Length 3: Tertiary period for TSI calculation (default: 25)
Display Controls
Show Horizontal Reference Lines: Toggle grid lines for better level identification
Show Information Table: Display current signal type, value, and normalized value
Table Position: Choose from 9 different screen positions for the info table
Display Mode: Switch between Boxes and Fills visualization
Max Bars to Display: Control how many historical bars to show (50-450 range)
Normalization Process
The indicator automatically normalizes different oscillator ranges to a consistent 0-100 scale:
Williams %R: Converts from -100/0 range to 0-100
CCI: Maps typical -300/+300 range to 0-100
TSI: Transforms -100/+100 range to 0-100
Other oscillators: Already use 0-100 scale (RSI, Stochastic, MFI, Ultimate Oscillator)
This was designed as an educational tool
The gamified approach makes learning about oscillators more engaging for new traders.