+ Rate of ChangeNOTE!* If you were using my previous + Rate of Change (and OBV) indicator, I will not be updating that. OBV was moved to my + Breadth & Volume indicator.
This indicator here is basically and updated version of the old indicator, without OBV.
The Rate of Change, or RoC, is a momentum indicator that measures the percentage change in price between the current period and the price n periods ago.
It oscillates above and below a zeroline, basically showing positive or negative momentum.
I applied the OBV's calculation to it, but without the inclusion of volume (also added a lookback period) to see what would happen. I rather liked the result.
I call this the "Cumulative Rate of Change." I only recently realized that this is actually just the OBV without volume, however the OBV does not have a lookback period, and this indicator does.
Doing some more fiddling, I realized that removing both the signum and the volume from the calculation gets you basically a price chart, but calculated as the change in price over n periods. I'm leaving this in because maybe someone discovers they really like having a line chart with moving averages or some other indicator on it to leave their main chart indicator free (giving a more clear look at price action). Can't hurt, right?
Default lookback is set to 1, but play with longer settings (especially if using the traditional RoC, which is by default in TV set to 10, and is nigh on useless at 1--I like 13).
Default source is set to each candle close, but give ohlc4 a look. It smooths out the indicator a bit, and because it's an average of the open, high, low, and close it should give a better idea of what price in general is doing.
Moving averages, Bollinger Bands, Donchian Channels, candle coloring and alerts are my usual additions.
Below are some comparison images of the different indicators wrapped up in here.
Comparison of Cumulative Rate of Change with two different sources. Lookback set to 1.
Cumulative Rate of Change as a price chart, essentially.
And, lastly, the traditional Rate of Change indicator.
在腳本中搜尋"momentum"
Comet Coloring SpaceManBTC Comet Coloring SpaceManBTC
Comet Coloring is a trend coloring tool used to provide additional confluences to trading. Using the tools together on dip entries the color shift can be used to detect a change in trend/show a weakening trend. Green for an uptrend, Red for downtrend and yellow for waning momentum.
Comet Coloring also comes with a guide line for trading, the line itself is not used in the calculation of trend but has its own trend analysis applied to determine an entry point on failures of claiming the line from either side allowing for directional plays long or short. This can be disabled in settings.
The Trend analysis comes in 2 forms, normal and smoothed , smoothed will filter some noise in sacrifice of early detections.
Aggregator is a proprietary determinent of how much data can be referenced, lowering the aggregate is better and produces more accurate results, the downside is load times.
Auto Aggregator is the primary difference by providing its own calculations very different to how previous auto calculations have worked in spacemanbtc indicators, this aggregator is a work in progress but should produce results that can be replicated accross all coins. Doing so allows for chart by chart switching and is useful for anyone who is in need of quick trend analysis.
The benefits of waning momentum , waning momentum was shown to show potential weakness in trend but also give oppurtunity to enter trend on a pull back, it can signify stagnation or minimal decrease in price allowing for a pull back entry on a strong uptrend.
To Do:
Reversion weakness detection is being considered.
Highlight areas where guide line reclaim has failed
+ Rate of Change (and OBV)The Rate of Change, or RoC, is a momentum indicator that measures the percentage change in price between the current period and the price n periods ago. It oscillates above and below a zeroline, basically showing positive or negative momentum. I applied the OBV's calculation to it, but without the inclusion of volume (also added a lookback period) to see what would happen.
Actually what happened was I was looking at hot-rodding the OBV indicator, but then wondered if I could apply the cumulative calculation to another indicator to see what would happen. Not sure why I chose the Rate of Change, but it seemed a neat idea. And it worked! And so I called it the "Cumulative Rate of Change." I only recently realized that this is actually just the OBV without volume, HOWEVER the OBV does not have a lookback period, and its source is the close of each period. Basically, when you look at the calculation for the OBV you'll notice that it's a cumulative measure of the "change" of the closing price against the previous close times the volume. The Rate of Change is basically that measurement over more than one period, excluding the volume, and is not cumulative. Thus the "Cumulative Rate of Change" is basically an OBV without the volume but with the capability to adjust the lookback period.
Anyway, after days and weeks of playing with the indicator pretty infrequently I did decide that I actually really liked it, especially with the addition of moving averages and bollinger bands. So I decided to play with it a bit more.
I added a drop-down menu to include the standard Rate of Change indicator, and then thought I may as well add the OBV too, in case someone might like to compare that to the C-RoC, or just wants an OBV with myriad moving averages and bollinger bands.
By default I have the indicator set to the "C-RoC" and the lookback is set to 1, but play with longer settings (this is pretty much necessary if using the traditional RoC, which is by default set to 10 in TradingView, and is nigh on useless at 1).
I also recommend playing with the source. 'Close' is nice, but 'ohlc4' provides some very nice signals as well, as it follows the price flow for each period completely, filtering the noisiness of 'close' as source.
Hope you guys like this. With the bollinger bands and your preferred moving average settings this can be a powerful tool for re-entering trades in trend, taking profits, determining momentum swings.
MarketSniffer BMarketSniffer B is a custom made indicator made by 2 friends that combined 2 strategies to make 1 indicator. It can detect good moments to buy and sell based on our strategy.
The indicator gives the same signals als marketsniffer A but has a diffrent way of showing it by using a histogram to make the momentum more clear when a buy / sell signal will be printed.
Marketsniffer B can be used in any market since its for a big part based on momentum. Although we recommend using it in the crypto market since it was tested and mainly made for crypto.
How to use it: MarketSniffer B can be used in many ways, own strategies can be made.
Example strategy: Lower timeframes (anything below the 1d) if the price is trading above the yellow 200 EMA, take the buy signals. If its trading below the 200 ema and you see a sell signal then sell / short
Example strategy: Higher timeframes (anything above the 1d) Any timeframe above the 1d, the 200 ema rule doesn't exist. Any buy signals should be good for taking a spot position. The sell signals therfore are NOT short signals but sell signals. Its just points to take profit from the buy signal.
Example strategy: Divergences and trendlines can be drawn on the waves as strategy. This indicator also had a RSI with EMA that can be used for this.
Its recommended to use the small timeframe signals (anything below 1d) for leverage trading. Any signals above 1day timeframe should be spot trading.
This indicator should be used in combination with MarketSniffer A
Use the link on our profile to get acces to this indicator.
Stochastic CandlesA series of up to 28 stochastics oscillators used to form an average stochastic value, which is then used to colour the candles based on the momentum.
Each candle can be coloured one of ten colours and each one represents a position on the stochastic oscillator.
The indicator helps traders to visualise the momentum and helps trend following.
Inputs:
MA: multiple smoothing methods
Theme: multiple colours
Increment: stochastic length start and increments
End: stochastic length end
Smooth: smooth stochastic
UCS_Top & Bottom CandleThis is an experimental Indicator based on Momentum. Picks the Top & Bottom Candle for most Swing. Please post your opinion or suggestion to improve this indicator.
I have not back tested this completely. This is recently developed Indicator.
Visual ProwessVisual Prowess: Ultimate Visual of Price Action Indicator
Overview
Visual Prowess is a Pine Script indicator that integrates Trend, Momentum, Strength/Weakness, Money Flow, and Volatility into a single, intuitive interface. Scaled from 0 to 100, it provides traders with clear bullish (>50) and bearish (<50) zones. Visual Prowess is made up of several data components which will be explained below. All these components have custom thresholds that lead to Green Dot Buy Signals and Red Dot sell signals. Designed for multi-timeframe analysis, it helps traders anticipate market moves with precision seeing behind the scenes of price action.
The fundamental inputs of price action are made up of different variables -- the components of Trend Strength, Volatility, Momentum, Money Flow/Volume and Overbought/Oversold. These are very important inputs market makers use. From what I've learned in my trading journey (always still learning), this is the data I value most important. This is why I combined all these components into one indicator.....to be an ultimate visual—this extrapolation of different pieces of data is the Visual Prowess.
What It Does
Visual Prowess combines five key market factors into a unified score (0-100) to assess market conditions by examining the price action like an x-ray aka Visual Prowess:
• Trend Direction & Strength (Green and Red Wave) : Identifies bullish (green clouds) or bearish (red clouds) trend. This data is designed to illustrate the trend by the color, and its strength by the height (score).
How it is Calculated = Data is derived from price action-- comparing the current and previous price highs and lows to measure the strength of upward (+) or downward (-) price movements, smoothed over a period and expressed as a percentage of the price range.
• Momentum (Blue and White Wave): Tracks price acceleration via a custom momentum oscillator, displayed as blue (positive) or white (negative) waves.
How it is Calculated = Data is calculated by subtracting a longer-term exponential moving average from a shorter-term exponential moving average to measure momentum and trend direction. Momentum strength is measured by height on 0-100 score, and color dictates the trend-- Blue up, White down.
• Strength Index (Purple Line): Measures overbought/oversold conditions with a normalized index, derived from price deviation.
How it is Calculated = Strength Index is calculated by comparing the average of price gains to the average of price losses over a specified period, expressed as a value between 0 and 100 to measure momentum and identify overbought or oversold conditions.
• Money Flow: Monitors capital inflows and outflows using a modified Money Flow Index, shown as green (buying) or red (selling) circles.
How it is Calculated = The Money Flow is calculated by using price and volume data to measure buying and selling pressure, comparing positive and negative money flow over a specified period to produce a value between 0 and 100, indicating overbought or oversold conditions and more importantly where the money is moving, + or -.
• Volatility: Gauges market volatility, marked by colored crosses (blue for low, red for high). Blue illustrates low volatility which is key for big moves either + or -; red to illustrate when price action is extremely overheated either + or -.
How it is Calculated = The volatility is calculated by the creator of the BBWP The_Caretaker. This excellent work is calculated using the width of the iconic indicator the Bollinger Bands (the difference between the upper and lower bands divided by the middle band (the moving average), expressed as a percentage to show how volatile the price is relative to its recent average.
Originality
Unlike traditional multi-indicator dashboards, Visual Prowess uses a combination of specific open-source indicators which I believe to be the most important inputs in price action-- trend, momentum, strength, money flow, and volatility into an all-in-one visual ratioed on a 0-100 scale. This unique synthesis of data reduces noise, prioritizes signal alignment, and a look behind the scenes of price action to see deeper into the movement – This combination of indicators has custom thresholds, when these components in alignment with each other hit certain parameters; it leads to key custom price action signals -- Green Dot Buy and Red Dot Sell signals.
There is also a bonus indicator….. a Yellow Triangle. When you see this, it is rare and strong. It only prints when strength index reaches extreme lows at the same time volatility reaches extreme highs…. It then waits to print the yellow triangle upon a third condition= which is price action is back in bullish/positive zone. This Yellow triangle is meant to be strong reversals of Macro Trend lows.
How to Use the Visual Prowess Components:
• Add to Chart: Apply Visual Prowess to any timeframe (recommended: higher timeframes 12H, 1D, 2D, 3D for optimal signals).
• Interpret Zones: Values >50 indicate bullish conditions (green background); <50 signal bearish conditions (red background).
Wait for Green Dot Buy signal for buys and Red Dot Sell signals for sells. One can read each component individually to gauge the price action and predict before the buy signal prints; all of those components merged together is what leads to the buy and sell signals. The story of what’s to come can be seen at lower timeframes before the higher timeframes print, that is a key way to gauge projections of bull or bear prints to come.
HOW TO READ EACH DATA COMPONENT
TREND CLOUDS: Green/red clouds show trend direction; vivid colors tied to number/ score on the 0-100 scale indicate strength of the trend.
Bull Conditions
Green cloud illustrates the trend is bullish. The height is correlated to the trend’s strength—this height is also aligned with colors, more transparent green is weak, then it gets more opaque being medium strength, and the most vibrant is the strongest. How to ride the bull condition is by seeing this transformation of trend get from weak to strong, until it tops out and the wave points down losing strength which alludes to the bear condition.
Bear Conditions
Vice versa with the bear condition. Different shades of red tie into the strength of the bear trend. How to read when things are about to get bearish, is by seeing bull trend shift levels of strength (Example- medium to weak). This transition of bull strength getting weaker is the start, once it gets to weak bear it has commenced until bearish strength tops out before it begins to get weaker leading to the next bull phase.
MOMENTUM WAVES: Blue waves above 50 suggest bullish momentum; white waves below 50 warn of bearish shifts.
Bull Conditions
Good to look at flips of white wave to blue in bearish zones to see the tide turning= guaranteed bullish when safely gets above and holds above 50 zone.
Bear Conditions
Vice versa for Bearish side of this momentum wave being blue wave turning white in bullish zone aiming down to break below 50 zone to confirm bearish descent.
STRENGTH INDEX: Values >80 indicate overbought; <20 suggest oversold. Look for “Bull” or “Bear” labels for divergences.
Bull Conditions
Above 50 level is key, so seeing price action break from below 50 to above 50 is strong buy condition until it gets overbought.
Bear Conditions
Once conditions are too overbought and falling making lower lows (especially when price action is climbing or staying sideways) it is indicating strength is getting weaker. When this indicator fights 50 level and breaks down below 50 level bearish conditions are coming until it gets to an oversold level.
MONEYFLOW: Green circles signal buying pressure; red circles indicate selling.
Bull Conditions
Green circles show money flow is positive so that’s a good sign of upward price action to come, and again above 50 level is bullish conditions
Bear Conditions
Red circles show money flow is negative so that’s a bad sign of price action to come, pointing down and breaking below 50 level is no good. It can have corrections in bullish scenario keep in mind seeing red doesn’t mean trend is over z9could be in higher low scenario).
VOLATILITY: Blue crosses (<25% volatility) suggest breakout potential; red crosses (>75%) warn of overheated markets.
Bull Conditions
This is a very important indication. Big volatile moves can move either direction + or -. When all other components look positive/bullish and this is signalling blue crosses it means a big move is coming and will most likely be in the upward direction –If all other components align/lean bullish.
Another bullish scenario is when price action is down large and red crosses are forming. This indicates that the downward move is overheated (red x’s are rare). This extremely oversold condition can be great buying opportunities when volatility is hot printing red x’s.
Bear Conditions
When all other components look negative/bearish and this is signalling blue crosses it means a big move is coming and will most likely be in the downward direction –If all other components align/lean bearish.
Another bearish scenario is when price action is up large and red crosses are forming. This indicates that the upward move is overheated (red x’s are rare). This extremely overbought condition can be great selling opportunities when volatility is hot printing red x’s.
*****All these components in alignment of hitting each pertaining important threshold--is what prints the green dot and sell signals to trade by. It is not black and white; each component has a sweet spot fine tuned to be triggered through analysis of what is happening individually to each component and how it is reacting to the price action data.
EXAMPLE= Taking a look at the screenshot (Perfect Scenario)
Bullish Examination
- Taking a look at the 2-D timeframe on BTC
x>50
x= all components traveling to the bullish zone. Blue wave, Strength Index with bullish divergence accumulation, Money Flow Positive with Green Trend Wave starting, with teal low volatility cross→→→ leads to Green Dot Buy Signal print…. And the big rise speaks for itself with price action and the big mountain wave of the Green Trend Wave.
This rise leads to
↓↓↓↓
Bearish Examination
Strength Index gets really high at 80 scale, Red X’s showing extremely heated Volatility, Money Flow turning red and sloping down, Trend Wave peaking starting to roll over, Blue Momentum Wave transitioning to white, bearish divergence of price action related to Strength Index→→→ leads to Red Dot Sell Signal print… and the flush speaks for itself when all components fall below 50 level with Trend wave turning red
All this is forecasted in the data, showing weakness before weakness and showing strength before strength. It works because every single piece of important elements in data of price action is incorporated in this all-in-one indicator…. Which leads to the reasoning of me calling this indicator the Visual Prowess, for its unprecedent sharpness of visual observation.
****This is a passion script incorporating every piece of data I value important when reading a chart — to see current perspective of a chart and to help foresee future projection of direction Up or Down. Any community feedback is greatly appreciated. Ongoing work will be done on this script as new thoughts and fine tuning will continuously be done for infinity, as this is my personal go to model for data on the markets.
Truly Iterative Gaussian ChannelOVERVIEW
The Truly Iterative Gaussian Channel is a robust channeling system that integrates a Gaussian smoothing kernel with a rolling standard deviation to create dynamically adaptive upper and lower boundaries around price. This indicator provides a smooth, yet responsive representation of price movements while minimizing lag and dynamically adjusting channel width to reflect real-time market volatility. Its versatility makes it effective across various timeframes and trading styles, offering significant potential for experimentation and integration into advanced trading systems.
TRADING USES
The Gaussian indicator can be used for multiple trading strategies. Trend following relies on the middle Gaussian line to gauge trend direction: prices above this line indicate bullish momentum, while prices below signal bearish momentum. The upper and lower boundaries act as dynamic support and resistance levels, offering breakout or pullback entry opportunities. Mean reversion focuses on identifying reversal setups when price approaches or breaches the outer boundaries, aiming for a return to the Gaussian centerline. Volatility filtering helps assess market conditions, with narrow channels indicating low volatility or consolidation and suggesting fewer trading opportunities or an impending breakout. Adaptive risk management uses channel width to adjust for market volatility, with wider channels signaling higher risk and tighter channels indicating lower volatility and potentially safer entry points.
THEORY
Gaussian kernel smoothing, derived from the Gaussian normal distribution, is a cornerstone of probability and statistics, valued for its ability to reduce noise while preserving critical signal features. In this indicator, it ensures price movements are smoothed with precision, minimizing distortion while maintaining responsiveness to market dynamics.
The rolling standard deviation complements this by dynamically measuring price dispersion from the mean, enabling the channel to adapt in real time to changing market conditions. This combination leverages the mathematical correctness of both tools to balance smoothness and adaptability.
An iterative framework processes data efficiently, bar by bar, without recalculating historical value to ensure reliability and preventing repainting to create a mathematically grounded channel system suitable for a wide range of market environments.
The Gaussian channel excels at filtering noise while remaining responsive to price action, providing traders with a dependable tool for identifying trends, reversals, and volatility shifts with consistency and precision.
CALIBRATION
Calibration of the Gaussian channel involves adjusting its length to modify sensitivity and adaptability based on trading style. Shorter lengths (e.g., 50-100) are ideal for intraday traders seeking quick responses to price fluctuations. Medium lengths (e.g., 150-200) cater to swing traders aiming to capture broader market trends. Longer lengths (e.g., 250-400+) are better suited for positional traders focusing on long-term price movements and stability.
MARKET USAGE
Stock, Forex, Crypto, Commodities, and Indices.
Supertrend with EMASupertrend + EMA Indicator
This custom indicator combines the popular Supertrend and Exponential Moving Average (EMA) indicators to enhance trend analysis and signal accuracy. The Supertrend tracks price volatility to identify potential trend directions, while the EMA provides a smooth moving average to help refine entries and exits based on trend momentum.
Features:
Supertrend: Detects trend reversals by using price action and volatility, making it effective in trending markets.
Exponential Moving Average (EMA): Smoothens price fluctuations, helping you gauge the trend’s strength and filter out false signals.
Versatile for multiple timeframes and asset classes.
Ideal for traders looking to catch sustained trends and avoid false breakouts, this indicator offers an improved way to follow market momentum and confirm trend strength. Customize the Supertrend ATR multiplier and EMA length to suit your trading style and timeframe.
Uptrick: DPO Signal & Zone Indicator
## **Uptrick: DPO Signal & Zone Indicator**
### **Introduction:**
The **Uptrick: DPO Signal & Zone Indicator** is a sophisticated technical analysis tool tailored to provide insights into market momentum, identify potential trading signals, and recognize extreme market conditions. It leverages the Detrended Price Oscillator (DPO) to strip out long-term trends from price movements, allowing traders to focus on short-term fluctuations and cyclical behavior. The indicator integrates multiple components, including a Detrended Price Oscillator, a Signal Line, a Histogram, and customizable alert levels, to deliver a robust framework for market analysis and trading decision-making.
### **Detailed Breakdown:**
#### **1. Detrended Price Oscillator (DPO):**
- **Purpose and Functionality:**
- The DPO is designed to filter out long-term trends from the price data, isolating short-term price movements. This helps in understanding the cyclical patterns and momentum of an asset, allowing traders to detect periods of acceleration or deceleration that might be overlooked when focusing solely on long-term trends.
- **Calculation:**
- **Formula:** `dpo = close - ta.sma(close, smaLength)`
- **`close`:** The asset’s closing price for each period in the dataset.
- **`ta.sma(close, smaLength)`:** The Simple Moving Average (SMA) of the closing prices over a period defined by `smaLength`.
- The DPO is derived by subtracting the SMA value from the current closing price. This calculation reveals how much the current price deviates from the moving average, effectively detrending the price data.
- **Interpretation:**
- **Positive DPO Values:** Indicate that the current price is higher than the moving average, suggesting bullish market conditions and a potential upward trend.
- **Negative DPO Values:** Indicate that the current price is lower than the moving average, suggesting bearish market conditions and a potential downward trend.
- **Magnitude of DPO:** Reflects the strength of momentum. Larger positive or negative values suggest stronger momentum in the respective direction.
#### **2. Signal Line:**
- **Purpose and Functionality:**
- The Signal Line is a smoothed average of the DPO, intended to act as a reference point for generating trading signals. It helps to filter out short-term fluctuations and provides a clearer perspective on the prevailing trend.
- **Calculation:**
- **Formula:** `signalLine = ta.sma(dpo, signalLength)`
- **`ta.sma(dpo, signalLength)`:** The SMA of the DPO values over a period defined by `signalLength`.
- The Signal Line is calculated by applying a moving average to the DPO values. This smoothing process reduces noise and highlights the underlying trend direction.
- **Interpretation:**
- **DPO Crossing Above Signal Line:** Generates a buy signal, suggesting that short-term momentum is turning bullish relative to the longer-term trend.
- **DPO Crossing Below Signal Line:** Generates a sell signal, suggesting that short-term momentum is turning bearish relative to the longer-term trend.
- **Signal Line’s Role:** Provides a benchmark for assessing the strength of the DPO. The interaction between the DPO and the Signal Line offers actionable insights into potential entry or exit points.
#### **3. Histogram:**
- **Purpose and Functionality:**
- The Histogram visualizes the difference between the DPO and the Signal Line. It provides a graphical representation of momentum strength and direction, allowing traders to quickly gauge market conditions.
- **Calculation:**
- **Formula:** `histogram = dpo - signalLine`
- The Histogram is computed by subtracting the Signal Line value from the DPO value. Positive values indicate that the DPO is above the Signal Line, while negative values indicate that the DPO is below the Signal Line.
- **Interpretation:**
- **Color Coding:**
- **Green Bars:** Represent positive values, indicating bullish momentum.
- **Red Bars:** Represent negative values, indicating bearish momentum.
- **Width of Bars:** Indicates the strength of momentum. Wider bars signify stronger momentum, while narrower bars suggest weaker momentum.
- **Zero Line:** A horizontal gray line that separates positive and negative histogram values. Crosses of the histogram through this zero line can signal shifts in momentum direction.
#### **4. Alert Levels:**
- **Purpose and Functionality:**
- Alert levels define specific thresholds to identify extreme market conditions, such as overbought and oversold states. These levels help traders recognize potential reversal points and extreme market conditions.
- **Inputs:**
- **`alertLevel1`:** Defines the upper threshold for identifying overbought conditions.
- **Default Value:** 0.5
- **`alertLevel2`:** Defines the lower threshold for identifying oversold conditions.
- **Default Value:** -0.5
- **Interpretation:**
- **Overbought Condition:** When the DPO exceeds `alertLevel1`, indicating that the market may be overbought. This condition suggests that the asset could be due for a correction or reversal.
- **Oversold Condition:** When the DPO falls below `alertLevel2`, indicating that the market may be oversold. This condition suggests that the asset could be poised for a rebound or reversal.
#### **5. Visual Elements:**
- **DPO and Signal Line Plots:**
- **DPO Plot:**
- **Color:** Blue
- **Width:** 2 pixels
- **Purpose:** To visually represent the deviation of the current price from the moving average.
- **Signal Line Plot:**
- **Color:** Red
- **Width:** 1 pixel
- **Purpose:** To provide a smoothed reference for the DPO and generate trading signals.
- **Histogram Plot:**
- **Color Coding:**
- **Green:** For positive values, signaling bullish momentum.
- **Red:** For negative values, signaling bearish momentum.
- **Style:** Histogram bars are displayed with varying width to represent the strength of momentum.
- **Zero Line:** A gray horizontal line separating positive and negative histogram values.
- **Overbought/Oversold Zones:**
- **Background Colors:**
- **Green Shading:** Applied when the DPO exceeds `alertLevel1`, indicating an overbought condition.
- **Red Shading:** Applied when the DPO falls below `alertLevel2`, indicating an oversold condition.
- **Horizontal Lines:**
- **Dotted Green Line:** At `alertLevel1`, marking the upper alert threshold.
- **Dotted Red Line:** At `alertLevel2`, marking the lower alert threshold.
- **Purpose:** To provide clear visual cues for extreme market conditions, aiding in the identification of potential reversal points.
#### **6. Trading Signals and Alerts:**
- **Buy Signal:**
- **Trigger:** When the DPO crosses above the Signal Line.
- **Visual Representation:** A "BUY" label appears below the price bar in the specified buy color.
- **Purpose:** Indicates a potential buying opportunity as short-term momentum turns bullish.
- **Sell Signal:**
- **Trigger:** When the DPO crosses below the Signal Line.
- **Visual Representation:** A "SELL" label appears above the price bar in the specified sell color.
- **Purpose:** Indicates a potential selling opportunity as short-term momentum turns bearish.
- **Overbought/Oversold Alerts:**
- **Overbought Alert:** Triggered when the DPO crosses below `alertLevel1`.
- **Oversold Alert:** Triggered when the DPO crosses above `alertLevel2`.
- **Visual Representation:** Labels "OVERBOUGHT" and "OVERSOLD" appear with distinctive colors and sizes to highlight extreme conditions.
- **Purpose:** To signal potential reversal points and extreme market conditions that may lead to price corrections or trend reversals.
- **Alert Conditions:**
- **DPO Cross Above Signal Line:** Alerts traders when the DPO crosses above the Signal Line, generating a buy signal.
- **DPO Cross Below Signal Line:** Alerts traders when the DPO crosses below the Signal Line, generating a sell signal.
- **DPO Above Upper Alert Level:** Alerts when the DPO is above `alertLevel1`, indicating an overbought condition.
- **DPO Below Lower Alert Level:** Alerts when the DPO is below `alertLevel2`, indicating an oversold condition.
- **Purpose:** To provide real-time notifications of significant market events, enabling traders to make informed decisions promptly.
### **Practical Applications:**
#### **1. Trend Following Strategies:**
- **Objective:**
- To capture and ride the prevailing market trends by entering trades that align with the direction of the momentum.
- **How to Use:**
- Monitor buy and sell signals generated by the DPO crossing the Signal Line. A buy signal suggests a bullish trend and a potential long trade, while a sell signal suggests a bearish trend and a potential short trade.
- Use the Histogram to confirm the strength of the trend. Expanding green bars indicate strong bullish momentum, while expanding red bars indicate strong bearish momentum.
- **Advantages:**
- Helps traders stay aligned with the market trend, increasing the likelihood of capturing substantial price moves.
#### **2. Reversal Trading:**
- **Objective:**
- To identify potential market reversals
by detecting overbought and oversold conditions.
- **How to Use:**
- Look for overbought and oversold signals based on the DPO crossing `alertLevel1` and `alertLevel2`. These conditions suggest that the market may be due for a reversal.
- Confirm reversal signals with the Histogram. A decrease in histogram bars (from green to red or vice versa) may support the reversal hypothesis.
- **Advantages:**
- Provides early warnings of potential market reversals, allowing traders to position themselves before significant price changes occur.
#### **3. Momentum Analysis:**
- **Objective:**
- To gauge the strength and direction of market momentum for making informed trading decisions.
- **How to Use:**
- Analyze the Histogram to assess momentum strength. Positive and expanding histogram bars indicate increasing bullish momentum, while negative and expanding bars suggest increasing bearish momentum.
- Use momentum insights to validate or question existing trading positions and strategies.
- **Advantages:**
- Offers valuable information about the market's momentum, helping traders confirm the validity of trends and trading signals.
### **Customization and Flexibility:**
The **Uptrick: DPO Signal & Zone Indicator** offers extensive customization options to accommodate diverse trading preferences and market conditions:
- **SMA Length and Signal Line Length:**
- Adjust the `smaLength` and `signalLength` parameters to control the sensitivity and responsiveness of the DPO and Signal Line. Shorter lengths make the indicator more responsive to price changes, while longer lengths provide smoother, less volatile signals.
- **Alert Levels:**
- Modify `alertLevel1` and `alertLevel2` to fit varying market conditions and volatility. Setting these levels appropriately helps tailor the indicator to different asset classes and trading strategies.
- **Color and Shape Customization:**
- Customize the colors and sizes of buy/sell signals, histogram bars, and alert levels to enhance visual clarity and align with personal preferences. This customization helps ensure that the indicator integrates seamlessly with a trader's charting setup.
### **Conclusion:**
The **Uptrick: DPO Signal & Zone Indicator** is a multifaceted analytical tool that combines the power of the Detrended Price Oscillator with customizable visual elements and alert levels to deliver a comprehensive approach to market analysis. By offering insights into momentum strength, trend direction, and potential reversal points, this indicator equips traders with valuable information to make informed decisions and enhance their trading strategies. Its flexibility and customization options ensure that it can be adapted to various trading styles and market conditions, making it a versatile addition to any trader's toolkit.
Zaree - FX Index RSI IndicatorDescription:
The "Zaree - FX Index RSI Indicator" (FIRI) is a technical analysis tool designed to provide insights into the relative strength of two selected currency indices using the Relative Strength Index (RSI). It allows traders to compare the RSI values of a primary currency index and a secondary currency index, helping them identify potential overbought and oversold conditions in the currency market.
Details of the Indicator:
The indicator calculates the RSI for both the primary and secondary currency indices based on the user's selections.
Traders can choose from a variety of currency indices to use as the primary and secondary indices for comparison.
The indicator offers settings for customizing the calculation of the RSI, including selecting the type of moving average (SMA, EMA, WMA, SMMA) and adjusting the length of the RSI and moving average.
Upper and lower RSI bands are displayed on the chart to highlight potential overbought and oversold conditions.
The RSI values and their corresponding moving average values are plotted on the chart, allowing traders to visually analyze the relative strength of the indices.
How to Use the Indicator:
Select the primary and secondary currency indices you want to compare from the provided dropdown menus. These indices will serve as the basis for RSI calculation.
Choose the type of moving average (SMA, EMA, WMA, SMMA) to use for RSI calculation and set the desired length for the moving average.
Decide whether you want to visualize the RSI and moving average values for the primary and secondary indices on the chart.
Observe the RSI values and moving averages plotted on the chart. The indicator's upper and lower bands can help you identify potential overbought (above the upper band) and oversold (below the lower band) conditions.
Pay attention to the intersections between the RSI values and the moving average lines. These intersections can provide insights into potential trend changes or reversals in the currency market.
Example of Usage:
Let's say you're a swing trader focusing on currency pairs involving the US Dollar (USD) and Euro (EUR). You want to compare the relative strength of the USD Index (USDINX) and the EUR Index (EURINX) to identify potential trading opportunities. Here's how you can use the FIRI indicator:
Select "USDINX" as the primary index and "EURINX" as the secondary index.
Choose "SMA" as the moving average type and set the RSI length to 14.
Enable the visualization of RSI values for both the primary and secondary indices.
Observe the chart to identify instances where the RSI values of the indices cross above the upper band (potential overbought) or below the lower band (potential oversold).
Look for intersections between the RSI values and the moving average lines. A bullish signal may occur when the RSI crosses above the moving average, indicating potential upward momentum, while a bearish signal may occur when the RSI crosses below the moving average, indicating potential downward momentum.
Remember that the FIRI indicator is a tool to assist you in your analysis. It's important to consider other technical and fundamental factors before making trading decisions.
Feel free to adjust the settings of the indicator based on your trading preferences and strategy. Keep in mind that no indicator is foolproof, and it's recommended to use the FIRI indicator in conjunction with other analysis techniques for a comprehensive trading approach.
TopTenAlg0 1. Sentiment & MomentumEN: Mum Sentiment & Momentum is an indicator that measures the psychological thresholds of the O candle and the rate of change of the price (Rate of Chance / Bar Momentum). Each price action is a separate action with flexibility. Mum Sentiment & Momentum shows you the speed and direction of this price action. If sentiment and momentum are green, the rise will continue, if it is much above momentum sentiment, it indicates the presence of an enthusiastic psychological movement. If sentiment and momentum are red, a correction may come and a decrease is expected, and if momentum is well below sentiment, there is an enthusiastic sale.
This algorithm is prepared with @Top10Algo ... Optimization periods
TR: Mum Sentiment & Momentum her barda ayrı ayrı olmak üzere O muma ait psikolojik eşikleri ve fiyatın değişim hızını ( Rate of Chance / Mum Momentumu ) ölçen bir göstergedir. Her bir fiyat hareketi esnekliği olan ayrı birer aksiyondur. Mum Sentiment & Momentum size bu fiyat aksiyonunun hızını ve yönünün ne olduğunu gösterir. Eğer sentiment ve momentum yeşil ise yükselişin devam edeceğini, momentum sentiment’ in çok üstünde ise coşkulu bir psikolojik hareketin varlığını gösterir. Eğer sentiment ve momentum kırmızı ise düzeltme gelebileceğini ve düşüş beklenildiğini, momentum ise sentiment’in çok altında ise coşkulu bir satış’ ın olduğunu gösterir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Periyotlar optimize edilmiştir.
The Great Anchors: Dual AVWAP Powered by RSI
The Great Anchors
*Dual Anchored Volume Weighted Average Price Powered by RSI*
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📌 Overview
The Great Anchors is a dual AVWAP-based indicator that resets dynamically using RSI extremes — either from the current asset or a master symbol (e.g., BTCUSDT). It identifies meaningful shifts in price structure and momentum using these "anchored" levels.
It’s designed to help traders spot trend continuations, momentum inflection points, and entry signals aligned with overbought/oversold conditions — but only when the market confirms through volume-weighted price direction.
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🛠 Core Logic
• AVWAP 1 (favwap): Anchored when RSI reaches overbought levels (top anchor)
• AVWAP 2 (savwap): Anchored when RSI reaches oversold levels (bottom anchor)
• AVWAPs are recalculated each time a new OB/OS condition is triggered — acting like "fresh anchors" at key market turning points.
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⚙️ Key Features
🔁 Auto or Manual RSI Thresholds
→ Automatically determines dynamic RSI OB/OS levels based on past peaks and troughs, or lets you set fixed levels.
🧠 Master Symbol Control
→ Use the RSI of a separate asset (like BTCUSDT, ETHUSDT, SOLUSDT, BNBUSDT, SUPRAUSDT) or indices (like TOTAL, TOTAL2, BFR) to control resets — ideal for tracking how BTC/major coins impacts altcoins/others.
🔍 Trend-Filtering Signal Logic
→ Signals are filtered for less noise and are triggered when:
- Both AVWAPs are rising (bullish) or falling (bearish)
- Price action confirms the structure
🎯 Visual Markers & Alerts
→ "💥" for bullish signals and "🔥" for bearish ones. Alerts included for automation or push notifications.
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🎯 How to Use It
1. Add the indicator to your chart.
2. Choose whether to use RSI from the current symbol or a master symbol (e.g., BTC).
3. Select auto-adjusted or manual OB/OS levels.
4. Watch for:
- AVWAP(s) making a significant change (at this point it's one of the AVWAPs resetting)
- Check if price flip it upwards or downwards
- If price goes above both AVWAPs thats a likely bullish trend
- If price can't go above both AVWAPs up and fall bellow both that's a likely bearish trend
- Price retesting upper AVWAP and bounce
- likely bullish continuation
- Price retesting lower AVWAP and dip
- likely bearish continuation
- Signal icons on chart ("💥 - Bullish" or "🔥- Bearish")
Best suited for:
• Swing traders
• Momentum traders
• Traders timing altcoin entries using BTC/Major asset's RSI
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🔔 Signal Explanation
💥 Bullish Signal =
• Both AVWAPs rising
• Higher lows in price structure
• Bullish candle close
• Triggered from overbought RSI reset
🔥 Bearish Signal =
• Both AVWAPs falling
• Lower highs in price structure
• Bearish candle close
• Triggered from oversold RSI reset
Signals reset by opposite signals to prevent noise or overfitting.
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⚠️ Tips & Notes
• Use AVWAPs as dynamic support/resistance, even without signal triggers
• Pair with volume or divergence tools for stronger confirmation
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🧩 Credits & Philosophy
This tool is built with a simple philosophy:
"Anchor your trades to meaningful moments in price — not arbitrary time."
The dual AVWAP concept helps you see how price reacts after momentum peaks, giving you a cleaner bias and more precise trade setups.
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TradersAID - Adaptive Smoothing Velocity ColoringTradersAID – Adaptive Smoothing Velocity Coloring
1. Overview
TradersAID – Adaptive Smoothing Velocity Coloring is a momentum visualization tool designed to highlight bullish or bearish pressure directly on price bars — helping you intuitively read directional strength and velocity shifts in any market or timeframe.
Using a Kalman-inspired estimation framework originally developed for aerospace and autonomous navigation, this tool analyzes the velocity of price movement and assigns a contextual candle color — offering a clean and readable way to interpret short-term flow.
Whether you’re navigating ranges or watching for trend continuation, this visualization simplifies complex data into actionable visual rhythm.
2. What It Does
Instead of measuring only price, the script focuses on price velocity — the rate of change over time. It computes this through a proprietary estimator that continuously adapts to volatility and momentum shifts.
The output is color-coded candles that reflect velocity dynamics:
• Green shades represent bullish acceleration
• Red shades reflect bearish velocity
• Neutral tones indicate fading momentum or transition phases
This allows you to quickly assess market tone:
• In strong trends: Watch for fading momentum (weaker colors)
• In ranges: Spot subtle shifts that hint at upcoming breakout direction
• Near potential reversals: Diverging velocity and price can stand out at a glance
3. How to Use It
• Momentum Insight:
Use color intensity to judge whether the current move is gaining or losing strength.
• Breakout Anticipation:
In sideways markets, shifting colors within the range can help anticipate which side may take control next.
• Divergence Reading:
Look for double tops or bottoms where price holds but velocity changes — often a hint that the move is maturing.
• Visual Confirmation Layer:
Combine with structural tools (like TradersAID Warning Dots or Trend Bands) to add a layer of momentum awareness.
4. Key Features
• Adaptive Velocity Model: Kalman-filter-like algorithm continuously tracks price velocity
• Gradient Candle Coloring: Smooth scale from deep red (strong bearish) to deep green (strong bullish)
• Flexible Sensitivity Modes:
o Slow – smoothest interpretation
o Regular – balanced tone
o Fast – more responsive
• RSI Normalization: Translates raw velocity into a familiar oscillator scale
• Full Overlay Integration: Candle coloring works seamlessly with other studies on the same chart
5. Technical Basis (Why It’s Closed Source)
The tool is built on a proprietary Unscented Kalman Filter implementation that estimates both price and its velocity simultaneously.
This advanced approach is rare in retail tools, drawing from real-time estimation techniques used in robotics and aerospace applications.
While the source remains closed to protect the performance logic and smoothing implementation, the core concepts — adaptive filtering, velocity-based analysis, and visual gradient output — are fully explained here for transparency and compliant understanding.
6. Settings
• Sensitivity Modes: Fast / Regular / Slow
• RSI Length: Adjustable to control the smoothness of velocity normalization
• Color Theme: Intuitive gradient from red (bearish) to green (bullish)
• Compatible Timeframes: Designed to work across all timeframes — no restriction
7. Disclaimer
This tool is for educational and informational purposes only. It does not offer financial advice, predict outcomes, or generate trading signals. Always use in conjunction with your own analysis and supporting systems.
Heikin-Ashi Mean Reversion Oscillator [Alpha Extract]The Heikin-Ashi Mean Reversion Oscillator combines the smoothing characteristics of Heikin-Ashi candlesticks with mean reversion analysis to create a powerful momentum oscillator. This indicator applies Heikin-Ashi transformation twice - first to price data and then to the oscillator itself - resulting in smoother signals while maintaining sensitivity to trend changes and potential reversal points.
🔶 CALCULATION
Heikin-Ashi Transformation: Converts regular OHLC data to smoothed Heikin-Ashi values
Component Analysis: Calculates trend strength, body deviation, and price deviation from mean
Oscillator Construction: Combines components with weighted formula (40% trend strength, 30% body deviation, 30% price deviation)
Double Smoothing: Applies EMA smoothing and second Heikin-Ashi transformation to oscillator values
Signal Generation: Identifies trend changes and crossover points with overbought/oversold levels
Formula:
HA Close = (Open + High + Low + Close) / 4
HA Open = (Previous HA Open + Previous HA Close) / 2
Trend Strength = Normalized consecutive HA candle direction
Body Deviation = (HA Body - Mean Body) / Mean Body * 100
Price Deviation = ((HA Close - Price Mean) / Price Mean * 100) / Standard Deviation * 25
Raw Oscillator = (Trend Strength * 0.4) + (Body Deviation * 0.3) + (Price Deviation * 0.3)
Final Oscillator = 50 + (EMA(Raw Oscillator) / 2)
🔶 DETAILS Visual Features:
Heikin-Ashi Candlesticks: Smoothed oscillator representation using HA transformation with vibrant teal/red coloring
Overbought/Oversold Zones: Horizontal lines at customizable levels (default 70/30) with background highlighting in extreme zones
Moving Averages: Optional fast and slow EMA overlays for additional trend confirmation
Signal Dashboard: Real-time table showing current oscillator status (Overbought/Oversold/Bullish/Bearish) and buy/sell signals
Reference Lines: Middle line at 50 (neutral), with 0 and 100 boundaries for range visualization
Interpretation:
Above 70: Overbought conditions, potential selling opportunity
Below 30: Oversold conditions, potential buying opportunity
Bullish HA Candles: Green/teal candles indicate upward momentum
Bearish HA Candles: Red candles indicate downward momentum
MA Crossovers: Fast EMA above slow EMA suggests bullish momentum, below suggests bearish momentum
Zone Exits: Price moving out of extreme zones (above 70 or below 30) often signals trend continuation
🔶 EXAMPLES
Mean Reversion Signals: When the oscillator reaches extreme levels (above 70 or below 30), it identifies potential reversal points where price may revert to the mean.
Example: Oscillator reaching 80+ levels during strong uptrends often precedes short-term pullbacks, providing profit-taking opportunities.
Trend Change Detection: The double Heikin-Ashi smoothing helps identify genuine trend changes while filtering out market noise.
Example: When oscillator HA candles change from red to teal after oversold readings, this confirms potential trend reversal from bearish to bullish.
Moving Average Confirmation: Fast and slow EMA crossovers on the oscillator provide additional confirmation of momentum shifts.
Example: Fast EMA crossing above slow EMA while oscillator is rising from oversold levels provides strong bullish confirmation signal.
Dashboard Signal Integration: The real-time dashboard combines oscillator status with directional signals for quick decision-making.
Example: Dashboard showing "Oversold" status with "BUY" signal when HA candles turn bullish provides clear entry timing.
🔶 SETTINGS
Customization Options:
Calculation: Oscillator period (default 14), smoothing factor (1-50, default 2)
Levels: Overbought threshold (50-100, default 70), oversold threshold (0-50, default 30)
Moving Averages: Toggle display, fast EMA length (default 9), slow EMA length (default 21)
Visual Enhancements: Show/hide signal dashboard, customizable table position
Alert Conditions: Oversold bounce, overbought reversal, bullish/bearish MA crossovers
The Heikin-Ashi Mean Reversion Oscillator provides traders with a sophisticated momentum tool that combines the smoothing benefits of Heikin-Ashi analysis with mean reversion principles. The double transformation process creates cleaner signals while the integrated dashboard and multiple confirmation methods help traders identify high-probability entry and exit points during both trending and ranging market conditions.
Delta AO + Regular AO (Normalized)🔀 Delta AO + Regular AO (Normalized) – Visualizing Market moods becomes simpler 🔀
🧠 Introduction
The Delta AO + Regular AO (Normalized) is a custom oscillator that fuses the power of classic momentum analysis with volume-derived delta flow to give traders a dual-perspective edge.
This tool was born from a need to better visualize internal market thrust (via delta) while still respecting the time-tested signal power of the traditional Awesome Oscillator (AO).
🔍 What makes it unique?
✅ Volume-based Delta Calculation – Models upward/downward delta using a custom volatility-weighted volume allocation method, not simple tick-delta or raw buys/sells.
✅ Cumulative Delta Candles – Instead of just plotting bars, the indicator rebuilds the market structure using cumulative delta logic.
✅ Dual AO Display – Shows both custom delta AO and traditional price AO simultaneously.
✅ Normalized Scaling – Each AO is independently normalized by its standard deviation (volatility-adjusted), making both indicators visually comparable without distortion.
🧮 Under the Hood
Let’s break down the components:
1. Delta Logic 📊
Rather than using raw delta or tick-level data, this script simulates net effort:
Delta Up = Volume × a smart weighting when the candle is bullish
Delta Down = Volume × weighting when the candle is bearish
The weighting dynamically adjusts based on candle body-to-wick ratio. This provides a more refined delta estimate based on candle structure.
This delta is accumulated (cumulative delta) and used to form a synthetic OHLC candle structure.
2. AO Calculations ⚖️
Custom AO: Calculated from the median of synthetic delta candles
Regular AO: Classic (median price 5-period SMA - 34-period SMA)
Both are normalized using their own 34-bar standard deviation, improving comparability and visualization in one pane.
3. Color Coding 🎨
For the delta AO histogram:
Lime: Bullish + Increasing Momentum
Green: Bullish + Weakening Momentum
Red: Bearish + Increasing Momentum (to the downside)
Maroon: Bearish + Weakening Momentum
This lets you immediately spot momentum shifts and strength behind volume-based moves.
📈 How to Use – Trading Guide
🔧 Recommended Setup:
Timeframe: Works well on all intraday and higher timeframes (5m–1D)
Symbol: Especially effective on liquid instruments (futures, indices, large caps)
✅ Entry Signals
🔹 Buy Setup
Delta AO turns green or lime above zero, and Regular AO is also rising
Ideal confirmation: Lime bar (strong bullish delta momentum) and a crossover above zero
🔹 Sell Setup
Delta AO turns maroon or red below zero, and Regular AO is also falling
Ideal confirmation: Red bar (strong bearish delta momentum) and AO falling further below zero
🔄 Momentum Confirmation
Look for divergence between the Delta AO and Regular AO.
🔼 If Delta AO is rising but Regular AO is flat or falling → Volume is leading price (possible breakout ahead)
🔽 If Regular AO is strong but Delta AO fades → Price may be unsustainable (fakeout risk)
🛑 Exit / Reversal Clues
Sudden color shifts (e.g., Lime → Green → Maroon) can signal momentum exhaustion
Both AOs converging to zero suggests consolidation phase ahead
📌 Pro Tips
Use this with volume profile, support/resistance, or market structure zones for maximum confluence
Works great as a secondary confirmation tool for your existing strategy
💬 Final Thoughts
This oscillator is not just a pretty double AO — it's a strategic fusion of price and volume time-series designed to help you anticipate shifts before they’re obvious in price alone.
If you're looking for:
A modernized AO
Volume-integrated signal clarity
Normalized, noise-filtered momentum visual
Then this tool belongs in your chart arsenal.
📈 Try it. Test it. Pair it. If you find value, consider sharing or following for more next-gen indicators.
Please note this is an educational idea and past performance is not assurance of future performance.
Happy trading!
— @Pratik_4Clover
Dynamic Price Oscillator (Zeiierman)█ Overview
The Dynamic Price Oscillator (DPO) by Zeiierman is designed to gauge the momentum and volatility of asset prices in trading markets. By integrating elements of traditional oscillators with volatility adjustments and Bollinger Bands, the DPO offers a unique approach to understanding market dynamics. This indicator is particularly useful for identifying overbought and oversold conditions, capturing price trends, and detecting potential reversal points.
█ How It Works
The DPO operates by calculating the difference between the current closing price and a moving average of the closing price, adjusted for volatility using the True Range method. This difference is then smoothed over a user-defined period to create the oscillator. Additionally, Bollinger Bands are applied to the oscillator itself, providing visual cues for volatility and potential breakout signals.
█ How to Use
⚪ Trend Confirmation
The DPO can serve as a confirmation tool for existing trends. Traders might look for the oscillator to maintain above or below its mean line to confirm bullish or bearish trends, respectively. A consistent direction in the oscillator's movement alongside price trend can provide additional confidence in the strength and sustainability of the trend.
⚪ Overbought/Oversold Conditions
With the application of Bollinger Bands directly on the oscillator, the DPO can highlight overbought or oversold conditions in a unique manner. When the oscillator moves outside the Bollinger Bands, it signifies an extreme condition.
⚪ Volatility Breakouts
The width of the Bollinger Bands on the oscillator reflects market volatility. Sudden expansions in the bands can indicate a breakout from a consolidation phase, which traders can use to enter trades in the direction of the breakout. Conversely, a contraction suggests a quieter market, which might be a signal for traders to wait or to look for range-bound strategies.
⚪ Momentum Trading
Momentum traders can use the DPO to spot moments when the market momentum is picking up. A sharp move of the oscillator towards either direction, especially when crossing the Bollinger Bands, can indicate the start of a strong price movement.
⚪ Mean Reversion
The DPO is also useful for mean reversion strategies, especially considering its volatility adjustment feature. When the oscillator touches or breaches the Bollinger Bands, it indicates a deviation from the normal price range. Traders might look for opportunities to enter trades anticipating a reversion to the mean.
⚪ Divergence Trading
Divergences between the oscillator and price action can be a powerful signal for reversals. For instance, if the price makes a new high but the oscillator fails to make a corresponding high, it may indicate weakening momentum and a potential reversal. Traders can use these divergence signals to initiate counter-trend moves.
█ Settings
Length: Determines the lookback period for the oscillator and Bollinger Bands calculation. Increasing this value smooths the oscillator and widens the Bollinger Bands, leading to fewer, more significant signals. Decreasing this value makes the oscillator more sensitive to recent price changes, offering more frequent signals but with increased noise.
Smoothing Factor: Adjusts the degree of smoothing applied to the oscillator's calculation. A higher smoothing factor reduces noise, offering clearer trend identification at the cost of signal timeliness. Conversely, a lower smoothing factor increases the oscillator's responsiveness to price movements, which may be useful for short-term trading but at the risk of false signals.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Composite Bull-Bear Dominance IndexNote: CREDITS: This is based on the Up Down Volume Indicator (published in Trading View) and Elder Ray Index (Bull Bear Power).
The Composite Bull Bear Dominance Index (CBBDI) is a indicator that combines up down volume analysis with Bull and Bear Power to provide a comprehensive view of market dynamics. It calculates Z-scores for up down volume delta and bull bear power measures, averages them, and then smoothes the result using Weighted Moving Average (WMA) for Bull and Bear Power and Volume Weighted Moving Average (VWMA) for Up and Down Volume Delta. The advantages include responsiveness to short-term trends, noise reduction through weighting, incorporation of volume information, and the ability to identify significant changes in buying and selling pressure. The indicator aims to offer clear signals for traders seeking insights into overall market dominance and indicate if the bulls or the bears have the upper hand.
Volume Analysis (Up/Down Volume Delta):
Up/Down Volume Delta reflects the net difference between buying and selling volume, providing insights into the prevailing market sentiment.
Positive Delta: Indicates potential bullish dominance due to higher buying volume.
Negative Delta: Suggests potential bearish dominance as selling volume surpasses buying volume.
Price Analysis (Bull and Bear Power):
Bull and Bear Power measure the strength of buying and selling forces based on price movements and the Exponential Moving Average (EMA) of the closing price.
Positive Bull Power: Reflects bullish dominance, indicating potential upward momentum.
Positive Bear Power: Suggests bearish dominance, indicating potential downward momentum.
Composite Bull Bear Dominance Index (CBBDI):
CBBDI combines the standardized Z-scores of Up/Down Volume Delta and Bull Bear Power, providing an average measure of both volume and price-related dominance.
Positive CBBDI: Indicates an overall bullish dominance in both volume and price dynamics.
Negative CBBDI: Suggests an overall bearish dominance in both volume and price dynamics.
Smoothing Techniques:
The use of Weighted Moving Average (WMA) for smoothing Bull and Bear Power Z-scores, and Volume Weighted Moving Average (VWMA) for smoothing Up/Down Volume Delta, reduces noise and provides a clearer trend signal.
Smoothing helps filter out short-term fluctuations and emphasizes more significant trends in both volume and price movements.
Color Coding:
CBBDI values are color-coded based on their direction, visually representing the prevailing market sentiment.
Green Colors: Positive values indicate potential bullish dominance.
Red Colors: Negative values suggest potential bearish dominance.
Logical Trading Indicator V.1Features of the Logical Trading Indicator V.1
ATR-Based Trailing Stop Loss
The Logical Trading Indicator V.1 utilizes the Average True Range (ATR) to implement a dynamic trailing stop loss. You can customize the sensitivity of your alerts by adjusting the ATR Multiple and ATR Period settings.
Higher ATR Multiple values create wider stops, while lower values result in tighter stops. This feature ensures that your trades are protected against adverse price movements. For best practice, use higher values on higher timeframes and lower values on lower term timeframes.
Bollinger Bands
The Logical Trading Indicator V.1 includes Bollinger Bands, which can be customized to use either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) as the basis.
You can adjust the length and standard deviation multiplier of the Bollinger Bands to fine-tune your strategy. The color of the basis line changes to green when price is above and red when price is below the line to represent the trend.
The bands show a range vs a single band that also represents when the price is in overbought and oversold ranges similar to an RSI. These bands also control the take profit signals.
You also have the ability to change the band colors as well as toggle them off, which only affects the view, they are still active which will still fire the take profit signals.
Momentum Indicator
Our indicator offers a momentum filter option that highlights market momentum directly on the candlesticks, identifying periods of bullish, bearish, or consolidation phases. You can enable or disable this filter as needed, providing valuable insights into market conditions.
By default, you will see the candlestick colors represent the momentum direction as green or red, and consolidation periods as white, but the filter on the BUY and SELL signals is not active. The view options and filter can be toggled on and off in the settings.
Buy and Sell Signals
The Logical Trading Indicator V.1 generates buy and sell signals based on a combination of ATR-based filtering, Bollinger Band basis crossover, and optional momentum conditions if selected in the settings. These signals help you make informed decisions about when to enter or exit a trade. You can also enable a consolidation filter to stay out of trades during tight ranges.
Basically a BUY signal fires when the price closes above the basis line, and the price meets or exceeds the ATR multiple from the previous candle length, which is also editable in the settings.
If the momentum filter is engaged, it will not fire BUY signals when in consolidation periods. It works just the opposite for SELL signals.
Take Profit Signals
We've integrated a Take Profit feature that helps you identify points to exit your trades with profits. The indicator marks Long Take Profit when prices close below the upper zone line of the Bollinger Bands after the previous candle closes inside the band, suggesting an optimal point to exit a long trade or consider a short position.
Conversely, Short Take Profit signals appear when prices close above the lower zone after the previous candle closes inside of it, indicating the right time to exit a short trade or contemplate a long position.
Alerts for Informed Trading
The Logical Trading Indicator V.1 comes equipped with alert conditions for buy signals, sell signals, take profit points, and more. Receive real-time notifications to your preferred devices or platforms to stay updated on market movements and trading opportunities.
Stochastic Zone Strength Trend [wbburgin](This script was originally invite-only, but I'd vastly prefer contributing to the TradingView community more than anything else, so I am making it public :) I'd much rather share my ideas with you all.)
The Stochastic Zone Strength Trend indicator is a very powerful momentum and trend indicator that 1) identifies trend direction and strength, 2) determines pullbacks and reversals (including oversold and overbought conditions), 3) identifies divergences, and 4) can filter out ranges. I have some examples below on how to use it to its full effectiveness. It is composed of two components: Stochastic Zone Strength and Stochastic Trend Strength.
Stochastic Zone Strength
At its most basic level, the stochastic Zone Strength plots the momentum of the price action of the instrument, and identifies bearish and bullish changes with a high degree of accuracy. Think of the stochastic Zone Strength as a much more robust equivalent of the RSI. Momentum-change thresholds are demonstrated by the "20" and "80" levels on the indicator (see below image).
Stochastic Trend Strength
The stochastic Trend Strength component of the script uses resistance in each candlestick to calculate the trend strength of the instrument. I'll go more into detail about the settings after my description of how to use the indicator, but there are two forms of the stochastic Trend Strength:
Anchored at 50 (directional stochastic Trend Strength):
The directional stochastic Trend Strength can be used similarly to the MACD difference or other histogram-like indicators : a rising plot indicates an upward trend, while a falling plot indicates a downward trend.
Anchored at 0 (nondirectional stochastic Trend Strength):
The nondirectional stochastic Trend Strength can be used similarly to the ADX or other non-directional indicators : a rising plot indicates increasing trend strength, and look at the stochastic Zone Strength component and your instrument to determine if this indicates increasing bullish strength or increasing bearish strength (see photo below):
(In the above photo, a bearish divergence indicated that the high Trend Strength predicted a strong downwards move, which was confirmed shortly after. Later, a bullish move upward by the Zone Strength while the Trend Strength was elevated predicated a strong upwards move, which was also confirmed. Note the period where the Trend Strength never reached above 80, which indicated a ranging period (and thus unprofitable to enter or exit)).
How to Use the Indicator
The above image is a good example on how to use the indicator to determine divergences and possible pivot points (lines and circles, respectively). I recommend using both the stochastic Zone Strength and the stochastic Trend Strength at the same time, as it can give you a robust picture of where momentum is in relation to the price action and its trajectory. Every color is changeable in the settings.
Settings
The Amplitude of the indicator is essentially the high-low lookback for both components.
The Wavelength of the indicator is how stretched-out you want the indicator to be: how many amplitudes do you want the indicator to process in one given bar.
A useful analogy that I use (and that I derived the names from) is from traditional physics. In wave motion, the Amplitude is the up-down sensitivity of the wave, and the Wavelength is the side-side stretch of the wave.
The Smoothing Factor of the settings is simply how smoothed you want the stochastic to be. It's not that important in most circumstances.
Trend Anchor was covered above (see my description of Trend Strength). The "Trend Transform MA Length" is the EMA length of the Trend Strength that you use to transform it into the directional oscillator. Think of the EMA being transformed onto the 50 line and then the Trend Strength being dragged relative to that.
Trend Transform MA Length is the EMA length you want to use for transforming the nondirectional Trend Strength (anchored at 0) into the directional Trend Strength (anchored at 50). I suggest this be the same as the wavelength.
Trend Plot Type can transform the Nondirectional Trend Strength into a line plot so that it doesn't murk up the background.
Finally, the colors are changeable on the bottom.
Explanation of Zone Strength
If you're knowledgeable in Pine Script, I encourage you to look at the code to try to understand the concept, as it's a little complicated. The theory behind my Zone Strength concept is that the wicks in every bar can be used create an index of bullish and bearish resistance, as a wick signifies that the price crossed above a threshold before returning to its origin. This distance metric is unique because most indicators/formulas for calculating relative strength use a displacement metric (such as close - open) instead of measuring how far the price actually moved (up and down) within a candlestick. This is what the Zone Strength concept represents - the hesitation within the bar that is not typically represented in typical momentum indicators.
In the script's code I have step by step explanations of how the formula is calculated and why it is calculated as such. I encourage you to play around with the amplitude and wavelength inputs as they can make the zone strength look very different and perform differently depending on your interests.
Enjoy!
Walker
Musashi_Slasher (Mometum+Volatility)--- Musashi Slasher (Momentum + Volatility ) ---
This tool was designed to fit my particular trading style and personal theories about the "Alchemy of the markets".
Velocity
This concept will be represented by the light blue and gray lines, a fast RSI (11 periods Relative Strength Index ), and a slow one ( RSI 14 periods as Wilder's half-cycle recommendation).
Note: Regular and hidden divergences will be plotted to help spot interesting spots and help with timing.
- Regular divergences will hint at a slowdown in price action.
- Hidden divergences will hint at a continuation as energy stored as some type of potential energy ready to be released violently. It is also referred ad 'The Slingshot'
Momentum
To understand Momentum, we must know that in physics Momentum = mass * velocity
We will understand mass as the mass of money of the market, which is found in the volume. To represent this concept a colored cloud will be plotted, this area will be given by MFI (13 periods Money Flow Index) and VRSI (Volume RSI ), when MFI is above VRSI will be colored dark blue, else red.
Note: Regular and hidden divergences on MFI will be plotted.
Volatility
The key to making this Alchemic theory work is to understand the "Transmutation" of the volatility which will be plotted by a multicolor line which will be blue in periods of low volatility and Red in periods of high volatility. I like to see these states as 'Ice' and 'Magma', as some periods the volatility just freezes, giving you hints that maybe a big move can be approaching, and at some points is just burning hot. Something I like about this indicator is that is trend agnostic. The line is named BBWP ( Bollinger Bands Width Percentile), as it calculates the width of the Bollinger bands (13 periods) and plot it as a percentile.
Finally, we will study the volatility of the volume, plotted as the red and purple mountains at the bottom of the indicator. This will complement and confirm the information provided by the Velocity-Momentum concepts.
Final Note
This indicator will only help identify interesting moments in the market, it's very powerful if used correctly, but it might be difficult to read in the beginning. It won't give "signals", as it is for understanding different dimensions in the market, I use it as it fits perfectly my trading strategies and tactics.
Best!
Musashi Alchemist
Triple Stochastic Momentum Index(TSMI)This script is a stochastic momentum index (SMI) indicator that is designed to view the flow of three stochastic momentums at once.
You can easily see the change in momentum by applying the values used in the triple stochastic form to the basic SMI usage.
이 스크립트는 3가지 stochastic momentum의 흐름을 한번에 볼 수 있도록 만들어진 SMI(stochastic momentum index)지표 입니다.
기본적인 SMI의 사용방식을 triple stochastic형식에서 사용되는 수치를 적용하여 쉽게 모멘텀의 변화를 확인 할 수 있습니다.
Price Percent OscillatorThe Percentage Price Oscillator(PPO) is a momentum oscillator that measures the difference between two moving averages as a percentage of the larger moving average. Similar to the Moving Average Convergence/Divergence(MACD), the PPO is comprised of a signal line, a histogram and a centerline. Signals are generated with signal line crossovers, centerline crossovers, and divergences. Because these signals are no different than those associated with MACD, this indicator can be read exactly as the MACD is read. The main differences between the PPO and MACD are: 1) PPO readings are not subject to the price level of the security. 2) PPO readings for different securities can be compared, even when there are large differences in the price. MACD readings for different securities cannot be compared when there are large differences in price.
Calculations:
Percentage Price Oscillator (PPO): {(12-day EMA - 26-day EMA)/26-day EMA} x 100
Signal Line: 9-day EMA of PPO
PPO Histogram: PPO - Signal Line
This PPO indicator retains standard PPO settings. Additions to this indicator are: 1) filling the space between the PPO LINE and SIGNAL LINE. Space is green when PPO is above SIGNAL, purple when PPO is below SIGNAL. The color of the space between PPO and SIGNAL is used to define short-term momentum for price(green is positive momentum, pink is negative momentum). 2) filling the space between the PPO LINE and CENTER LINE(0 LEVEL). This space is filled green when the PPO is above the CENTER LINE and pink when the PPO is below the CENTER LINE. Green in this area indicates positive momentum in the intermediate-term while pink indicates negative momentum in the intermediate-term.
