EREMA SignalsOverview
The EREMA Signals indicator is a specialized overlay tool designed to display precise buy and sell signals directly on your price chart. Working as a companion to the main Ehlers Reverse EMA indicator, it brings powerful momentum-based signals to your trading strategy without cluttering your chart with additional indicator panels.
Key Features
On-Chart Signal Visualization: Clear buy/sell arrows appear directly on the price chart
Dynamic Signal Positioning: Signals automatically adjust their distance from price using ATR for optimal visibility
Multiple Signal Types: Choose from three distinct signal generation methods
Clean Chart Interface: Displays only the essential signals, maintaining chart clarity
Signal Types
Zero Cross: Generates signals when the Ehlers Reverse EMA crosses above/below the zero line
MA Cross: Identifies when the Ehlers Reverse EMA crosses its own moving average
Zero & MA Cross: The strictest filter, requiring both zero line and MA crossovers for signal generation
How To Use
Setup
First add the main "Ehlers Reverse EMA" indicator to your chart
Then add this "EREMA Signals" indicator as an overlay
Configure both indicators with identical settings for alpha, MA type, and signal method
Reading Signals
Green Triangles (below price): Buy signals indicating potential upward momentum
Red Triangles (above price): Sell signals indicating potential downward momentum
Trading Applications
Trend Identification: Zero cross signals help identify changes in overall trend direction
Momentum Trading: MA cross signals can identify shorter-term momentum shifts
Confirmation Tool: Use alongside other technical indicators or price action strategies
Multiple Timeframe Analysis: Apply to different timeframes for more robust trading decisions
Best Practices
Consider using longer timeframes (4H, Daily) for more reliable signals
The combined "Zero & MA Cross" setting provides fewer but higher-quality signals
For tighter entries, use the "MA Cross" option in established trends
Adjust the Alpha parameter to match your trading style (lower for longer-term, higher for shorter-term)
This indicator works seamlessly with the main Ehlers Reverse EMA indicator while maintaining a clean chart interface, making it ideal for traders who prefer visual simplicity without sacrificing analytical power.
在腳本中搜尋"momentum"
Momentum Based RSIThe Momentum Based RSI is an enhancement to the RSI. it incorporates 2 sections:
MA Ratio (Fast/Slow)
RSI
at the end both of those are multiplied to create a more responsive RSI which reacts fast to market moves while still providing a whip ressistant tool.
Momentum Calculation
The "MA Ratio" as i like to call it results from comparing 2 MAs (both can be set to whatever type you like) against eachother, which, in the end, provides a Ratio that visualizes the difference. It is simple yet effective
RSI
An Old yet popular tool which dates back to 1978. In and out of itself it is a great tool, however it still can be enhanced.
The Combination
The RSI and the MARatio are multiplied together, which results in an RSI that is ampliefied by the speed of the market movements.
This proves highly effective, since the MA Ratio is hovering around at the same level. However during trends, it picks up speed in either of both directions which marginally increases the RSI's response the said movement.
Why its Creative, New and Good
While it is a super simple concept, it still holds a lot of power relative to its sophistication. Traders may use it like they used the Vanilla RSI (e.g Trend following, Mean-reversion or other).
Unlike RSI with momentum overlays, this indicator actively uses an MA Ratio multiplier for simplicity and responsiveness.
At last, Its primary goal is to detect trends faster while not creating more noise & false signals.
What not to do
if youre using this indicator, please do NOT change the Fast MA to be slower than to Slow MA or vice versa, since you'll be getting broken & noise induced signals which may not align with your goals.
Great inventions require great Care
As with anything, you should not use this tool without any other confluence. As great as the backtests may be, you dont know what the future holds, be careful!
This indicator is not a guaranteed predicition tool. If youre going to use it for investment decisions, please use it in coherence with other tools.
Thank you for reading!
Uptrick: Acceleration ShiftsIntroduction
Uptrick: Acceleration Shifts is designed to measure and visualize price momentum shifts by focusing on acceleration —the rate of change in velocity over time. It uses various moving average techniques as a trend filter, providing traders with a clearer perspective on market direction and potential trade entries or exits.
Purpose
The main goal of this indicator is to spot strong momentum changes (accelerations) and confirm them with a chosen trend filter. It attempts to distinguish genuine market moves from noise, helping traders make more informed decisions. The script can also trigger multiple entries (smart pyramiding) within the same trend, if desired.
Overview
By measuring how quickly price velocity changes (acceleration) and comparing it against a smoothed average of itself, this script generates buy or sell signals once the acceleration surpasses a given threshold. A trend filter is added for further validation. Users can choose from multiple smoothing methods and color schemes, and they can optionally enable a small table that displays real-time acceleration values.
Originality and Uniqueness
This script offers an acceleration-based approach, backed by several different moving average choices. The blend of acceleration thresholds, a trend filter, and an optional extra-entry (pyramiding) feature provides a flexible toolkit for various trading styles. The inclusion of multiple color themes and a slope-based coloring of the trend line adds clarity and user customization.
Inputs & Features
1. Acceleration Length (length)
This input determines the number of bars used when calculating velocity. Specifically, the script computes velocity by taking the difference in closing prices over length bars, and then calculates acceleration based on how that velocity changes over an additional length. The default is 14.
2. Trend Filter Length (smoothing)
This sets the lookback period for the chosen trend filter method. The default of 50 results in a moderately smooth trend line. A higher smoothing value will create a slower-moving trend filter.
3. Acceleration Threshold (threshold)
This multiplier determines when acceleration is considered strong enough to trigger a main buy or sell signal. A default value of 2.5 means the current acceleration must exceed 2.5 times the average acceleration before signaling.
4. Smart Pyramiding Strength (pyramidingThreshold)
This lower threshold is used for additional (pyramiding) entries once the main trend has already been identified. For instance, if set to 0.5, the script looks for acceleration crossing ±0.5 times its average acceleration to add extra positions.
5. Max Pyramiding Entries (maxPyramidingEntries)
This sets a limit on how many extra positions can be opened (beyond the first main signal) in a single directional trend. The default of 3 ensures traders do not become overexposed.
6. Show Acceleration Table (showTable)
When enabled, a small table displaying the current acceleration and its average is added to the top-right corner of the chart. This table helps monitor real-time momentum changes.
7. Smart Pyramiding (enablePyramiding)
This toggle decides whether additional entries (buy or sell) will be generated once a main signal is active. If enabled, these extra signals act as filtered entries, only firing when acceleration re-crosses a smaller threshold (pyramidingThreshold). These signals have a '+' next to their signal on the label.
8. Select Color Scheme (selectedColorScheme)
Allows choosing between various pre-coded color themes, such as Default, Emerald, Sapphire, Golden Blaze, Mystic, Monochrome, Pastel, Vibrant, Earth, or Neon. Each theme applies a distinct pair of colors for bullish and bearish conditions.
9. Trend Filter (TrendFilter)
Lets the user pick one of several moving average approaches to determine the prevailing trend. The options include:
Short Term (TEMA)
EWMA
Medium Term (HMA)
Classic (SMA)
Quick Reaction (DEMA)
Each method behaves differently, balancing reactivity and smoothness.
10. Slope Lookback (slopeOffset)
Used to measure the slope of the trend filter over a set number of bars (default is 10). This slope then influences the coloring of the trend filter line, indicating bullish or bearish tilt.
Note: The script refers to this as the "Massive Slope Index," but it effectively serves as a Trend Slope Calculation, measuring how the chosen trend filter changes over a specified period.
11. Alerts for Buy/Sell and Pyramiding Signals
The script includes built-in alert conditions that can be enabled or configured. These alerts trigger whenever the script detects a main Buy or Sell signal, as well as extra (pyramiding) signals if Smart Pyramiding is active. This feature allows traders to receive immediate notifications or automate a trading response.
Calculation Methodology
1. Velocity and Acceleration
Velocity is derived by subtracting the closing price from its value length bars ago. Acceleration is the difference in velocity over an additional length period. This highlights how quickly momentum is shifting.
2. Average Acceleration
The script smooths raw acceleration with a simple moving average (SMA) using the smoothing input. Comparing current acceleration against this average provides a threshold-based signal mechanism.
3. Trend Filter
Users can pick one of five moving average types to form a trend baseline. These range from quick-reacting methods (DEMA, TEMA) to smoother options (SMA, HMA, EWMA). The script checks whether the price is above or below this filter to confirm trend direction.
4. Buy/Sell Logic
A buy occurs when acceleration surpasses avgAcceleration * threshold and price closes above the trend filter. A sell occurs under the opposite conditions. An additional overbought/oversold check (based on a longer SMA) refines these signals further.
When price is considered oversold (i.e., close is below a longer-term SMA), a bullish acceleration signal has a higher likelihood of success because it indicates that the market is attempting to reverse from a lower price region. Conversely, when price is considered overbought (close is above this longer-term SMA), a bearish acceleration signal is more likely to be valid. This helps reduce false signals by waiting until the market is extended enough that a reversal or continuation has a stronger chance of following through.
5. Smart Pyramiding
Once a main buy or sell signal is triggered, additional (filtered) entries can be taken if acceleration crosses a smaller multiplier (pyramidingThreshold). This helps traders scale into strong moves. The script enforces a cap (maxPyramidingEntries) to limit risk.
6. Visual Elements
Candles can be recolored based on the active signal. Labels appear on the chart whenever a main or pyramiding entry signal is triggered. An optional table can show real-time acceleration values.
Color Schemes
The script includes a variety of predefined color themes. For bullish conditions, it might use turquoise or green, and for bearish conditions, magenta or red—depending on which color scheme the user selects. Each scheme aims to provide clear visual differentiation between bullish and bearish market states.
Why Each Indicator Was Part of This Component
Acceleration is employed to detect swift changes in momentum, capturing shifts that may not yet appear in more traditional measures. To further adapt to different trading styles and market conditions, several moving average methods are incorporated:
• TEMA (Triple Exponential Moving Average) is chosen for its ability to reduce lag more effectively than a standard EMA while still reacting swiftly to price changes. Its construction layers exponential smoothing in a way that can highlight sudden momentum shifts without sacrificing too much smoothness.
• DEMA (Double Exponential Moving Average) provides a faster response than a single EMA by using two layers of exponential smoothing. It is slightly less smoothed than TEMA but can alert traders to momentum changes earlier, though with a higher risk of noise in choppier markets.
• HMA (Hull Moving Average) is known for its balance of smoothness and reduced lag. Its weighted calculations help track trend direction clearly, making it useful for traders who want a smoother line that still reacts fairly quickly.
• SMA (Simple Moving Average) is the classic baseline for smoothing price data. It offers a clear, stable perspective on long-term trends, though it reacts more slowly than other methods. Its simplicity can be beneficial in lower-volatility or more stable market environments.
• EWMA (Exponentially Weighted Moving Average) provides a middle ground by emphasizing recent price data while still retaining some degree of smoothing. It typically responds faster than an SMA but is less aggressive than DEMA or TEMA.
Alongside these moving average techniques, the script employs a slope calculation (referred to as the “Massive Slope Index”) to visually indicate whether the chosen filter is sloping upward or downward. This adds an extra layer of clarity to directional analysis. The indicator also uses overbought/oversold checks, based on a longer-term SMA, to help filter out signals in overstretched markets—reducing the likelihood of false entries in conditions where the price is already extensively extended.
Additional Features
Alerts can be set up for both main signals and additional pyramiding signals, which is helpful for automated or semi-automated trading. The optional acceleration table offers quick reference values, making momentum monitoring more intuitive. Including explicit alert conditions for Buy/Sell and Pyramiding ensures traders can respond promptly to market movements or integrate these triggers into automated strategies.
Summary
This script serves as a comprehensive momentum-based trading framework, leveraging acceleration metrics and multiple moving average filters to identify potential shifts in market direction. By combining overbought/oversold checks with threshold-based triggers, it aims to reduce the noise that commonly plagues purely reactive indicators. The flexibility of Smart Pyramiding, customizable color schemes, and built-in alerts allows users to tailor their experience and respond swiftly to valid signals, potentially enhancing trading decisions across various market conditions.
Disclaimer
All trading involves significant risk, and users should apply their own judgment, risk management, and broader analysis before making investment decisions.
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Average Bullish & Bearish Percentage ChangeAverage Bullish & Bearish Percentage Change
Processes two key aspects of directional market movements relative to price levels. Unlike traditional momentum tools, it separately calculates the average of positive and negative percentage changes in price using user-defined independent counts of actual past bullish and bearish candles. This approach delivers comprehensive and precise view of average percentage changes.
FEATURES:
Count-Based Averages: Separate averaging of bullish and bearish %𝜟 based on their respective number of occurrences ensures reliable and precise momentum calculations.
Customizable Averaging: User-defined number of candle count sets number of past bullish and bearish candles used in independent averaging.
Two Methods of Candle Metrics:
1. Net Move: Focuses on the body range of the candle, emphasizing the net directional movement.
2. Full Capacity: Incorporates wicks and gaps to capture full potential of the bar.
The indicator classifies Doji candles contextually, ensuring they are appropriately factored into the bullish or bearish metrics to avoid mistakes in calculation:
1. Standard Doji - open equals close.
2. Flat Close Doji - Candles where the close matches the previous close.
Timeframe Flexibility:
The indicator can be applied across any desired timeframe, allowing for seamless multi-timeframe analysis.
HOW TO USE
Select Method of Bar Metrics:
Net Move: For analyzing markets where price changes are consistent and bars are close to each other.
Full Capacity: Incorporates wicks and gaps, providing relevant figures for markets like stocks
Set the number of past candles to average:
🟩 Average Past Bullish Candles (Default: 10)
🟥 Average Past Bullish Candles (Default: 10)
Why Percentage Change Is Important
Standardized Measurement Across Assets:
Percentage change normalizes price movements, making it easier to compare different assets with varying price levels. For example, a $1 move in a $10 stock is significant, but the same $1 move in a $1,000 stock is negligible.
Highlights Relative Impact:
By measuring the price change as a percentage of the close, traders can better understand the relative impact of a move on the asset’s overall value.
Volatility Insights:
A high percentage change indicates heightened volatility, which can be a signal of potential opportunities or risks, making it more actionable than raw price changes. Percents directly reflect the strength of buying or selling pressure, providing a clearer view of momentum compared to raw price moves, which may not account for the relative size of the move.
By focusing on percentage change, this indicator provides a normalized, actionable, and insightful measure of market momentum, which is critical for comparing, analyzing, and acting on price movements across various assets and conditions.
MMI (Multi.Index.Indicator)Multi-Index Momentum Indicator (MMI)
The Multi-Index Momentum Indicator (MMI) is a custom TradingView Pine Script indicator designed to calculate and display the momentum difference between the base and quote indexes of various currency pairs. This indicator helps traders identify the relative strength or weakness of a currency pair by comparing the momentum of its base and quote indexes.
Features:
Currency Pair Detection: The indicator automatically detects the currency pair of the current chart and selects the appropriate base and quote indexes for that pair.
Index Data Retrieval: It fetches the closing prices of the base and quote indexes for the specified timeframe.
Momentum Calculation:
The indicator calculates the 14-period momentum for both the base and quote indexes and then computes the momentum difference.
Visual Representation: The momentum difference is plotted on the chart as a colored line. If the momentum difference is positive, the line is green; if negative, the line is red.
Data Availability Check:
The script checks if the index data is available. If any index data is missing, the script displays a red label on the chart indicating which index data is missing.
Zero Line: A horizontal line at the zero level is plotted for reference.
Supported Currency Pairs and Their Indexes:
USDJPY: Base Index - DXY, Quote Index - JPYX
EURUSD: Base Index - EXY, Quote Index - DXY
GBPUSD: Base Index - BXY, Quote Index - DXY
AUDUSD: Base Index - AXY, Quote Index - DXY
USDCHF: Base Index - DXY, Quote Index - SXY
USDCAD: Base Index - DXY, Quote Index - CXY
GBPJPY: Base Index - BXY, Quote Index - JPYX
VAcc (Velocity & Acceleration)VAcc (Velocity & Acceleration) is a momentum indicator published by Scott Cong in Stocks & Commodities V. 41:09 (8–15). It applies concepts from physics, namely velocity and acceleration, to financial markets. VAcc functions similarly to the popular MACD (Moving Average Convergence Divergence) indicator when using a longer lookback period, but produces more responsive results. With shorter periods, VAcc exhibits characteristics reminiscent of the stochastic oscillator.
🟠 Algorithm
The average velocity over the past n periods is defined as
((C - C_n) / n + (C - C_{n-1}) / (n - 1) + … + (C - C_i) / i + (C - C_1) / 1) / n
At its core, the velocity is a weighted average of the rate of change over the past n periods.
The calculation of the acceleration follows a similar process, where it’s defined as
((V - V_n) / n + (V - V_{n - 1}) / (n - 1) + … + (V - V_i) / i + (V - V_1) / 1) / n
🟠 Comparison with MACD
A comparison of VAcc and MACD on the daily Nasdaq 100 (NDX) chart from August 2022 helps demonstrate VAcc's improved sensitivity. Both indicators utilized a lookback period of 26 days and smoothing of 9 periods.
The VAcc histogram clearly shows a divergence forming, with momentum weakening as prices reached new highs. In contrast, the corresponding MACD histogram significantly lagged in confirming the divergence, highlighting VAcc's ability to identify subtle shifts in trend momentum more immediately than the traditional MACD.
Momentum Reversal [AngelAlgo]The Momentum Reversal Indicator is a technical analysis tool used to identify potential reversals and trends in financial markets. It does this by comparing the momentum of a market to its trend. The momentum is calculated by measuring the change in price over a specified time interval set by the "Period" input. The trend is then determined as the simple moving average of the momentum, with the length of the moving average determined by the "Trend length" input. When the momentum deviates significantly from the trend, it is considered a potential reversal signal. The user can choose to receive signals based on either "Contrarian" or "Trend" signals type, and also has the option to smooth the signals using the Hull Moving Average. The indicator is plotted as a histogram with trading signals indicated by triangle shapes (up for buys, down for sells). The histogram is also accompanied by a smoothed line representation of the indicator and dynamic threshold levels.
The color of the histogram bars is green if the momentum is positive, red if it's negative. The histogram can be smoothed using the Hull Moving Average (HMA) if the "Smoothed signals" input is set to true.
The indicator also plots the threshold levels, which are dynamically calculated as the simple moving average (SMA) of the absolute value of the histogram. The threshold levels are plotted as circles on the chart.
The signals are plotted as arrows on the chart, either triangle-up for buy signals, or triangle-down for sell signals. If "Contrarian" signals are selected, a triangle-up will appear when the histogram crosses below the lower threshold, and a triangle-down will appear when it crosses above the upper threshold. If "Trend" signals are selected, a triangle-up will appear when the histogram crosses above the upper threshold, and a triangle-down will appear when it crosses below the lower threshold. Trend signals work for trending markets, Contrarian signals are good for ranging markets.
SETTINGS
Period: This input allows you to set the period for the momentum calculation. The default value is 14.
Trend length: This input allows you to set the length of the trend-following moving average. The default value is 50.
Signals type : This input allows you to choose the type of signals you want to receive. You can choose between "Contrarian" and "Trend" signals. The default value is "Contrarian".
Smoothed signals: This input allows you to choose between the raw or smoothed signals. If set to true, the signals will be based on the smoothed histogram line, otherwise, they will be based on the raw histogram. The default value is true.
Momentum Sparkler (MS)Introduction:
In this script, we will be creating an indicator called "Momentum Sparkler" that plots lines on the chart to visualize the momentum of the given source.
Explanation:
First, we define the input "Source" as the source for the data to be plotted, and the input "Length" as an integer determining the number of lines to plot.
We then create an array called "lines" to store the lines we will be plotting.
Using an if statement, we check if the current bar is the last bar in the chart. If it is, we use a for loop to iterate through the range of the "Length" input and add a line to the "lines" array for each iteration. The color of each line is determined by a color gradient, with the first line being the most red and the last line being the most green.
Next, we use another if statement to check if the current bar is confirmed. If it is, we use a for loop to iterate through the "lines" array and delete all the lines. This is to prevent the lines from being carried over to the next bar and potentially being plotted multiple times.
Conclusion:
This script can be useful for quickly visualizing the momentum of the given source and identifying potential trends or reversals. It can be helpful for making trading decisions or for adding an additional layer of analysis to a chart.
1st Gray Cross Signals ━ Histogram SQZMOM [whvntr][LazyBear]This is the Histogram Version of one of my other indicators named: SQZ Momentum + 1st Gray Cross Signals (with arrows) Which is a modification of "Squeeze Momentum Indicator" by user: "LazyBear". In that indicator of his he described, and suggested, the use of his gray cross signals to find points of interest for trading based on the direction of momentum when the first gray cross appears... I have programmed these points, and highlighted them, for ease of use. The 1st gray cross strategy, he said , is from John F. Carter's book, Chapter 11, "Mastering the Trade".
Here we have the Histogram version, with background highlights only, and nothing on the chart, in true SQZ Momentum style.
Disclaimer: using this indicator, or any indicator anywhere, involves risk when trading and isn't a guarantee of 100% accurate results.
Outback RSI & Hull [TTF]This indicator was originally made to help users following along with one of our strategies that we call The Outback (hence the name).
One of the component indicators of that strategy is an RSI with a Hull Moving Average added on top of the RSI as an additional reference for the momentum of the RSI. Many people either had difficulty setting this up correctly, or were having issues with the Indicator on Indicator component, so we built this indicator to assist in that regard.
As we continued to use it, we found it to be a pretty sound momentum indicator that had much to offer by enhancing the more normal RSI, and wanted to make this indicator generally available to the public.
The basic premise of this indicator is as follows:
The core is a traditional RSI with a "normal" (usually Simple) moving average
The "secret sauce" is adding a 2nd moving average (a Hull Moving Average, inspired by Insilico's awesome Hull Suite) based off the RSI
By leveraging the RSI's position relative to both the Simple and Hull moving averages, you can better gauge the relative strength of the current momentum, as well as better visualize longer-term momentum direction and strength based on the moving average slopes and direction.
Normalized Velocity [Loxx]Velocity (which is often called a "smoother momentum" since it is much smoother than momentum without lagging at all) with an addition of ATR normalization
Since velocity is (even when normalization is applied) is not an indicator with fixed bounds, this indicator is uses floating levels for what is usually called overbought and oversold levels (+ a floating "zero" line is added). Something that would look like a "fixed levels" is easily achieved if you use long floating levels period in which case those levels are quite similar to fixed levels.
This indicator can be used like any momentum indicator (in that case recommended coloring mode is to use either slope coloring or "zero" middle level crossing coloring) or it can be used as a "trending" indicator in which case it is better to use coloring on outer level cross, and longer calculation periods are advised in that case.
Included:
Bar coloring
3 signal variations w/ alerts
Loxx's Expanded Source Types
Alerts
Momentum CloudThis is a modified Ichimoku Cloud:
-The default Lookback-Length and Displacement settings have been modified to operate optimally on 24/7 markets - which is popular among Crypto analysts.
-The Lagging Span, Base Line, and Conversion Line have been removed - leaving just the bare cloud.
-Additionally, the Cloud's color will shift blue when it is compressed. (More specifically - when Leading Span A retreats to Leading Span B, the color changes.)
This allows the user to easily identify when the Cloud is "thinning", either to the upside, or the downside.
Being that the "spread" or "width" of an Ichimoku Cloud generally gauges it's efficacy as potential Support or Resistance, this tool is particularly useful for highlighting when momentum is weakening.
*This script will be updated in the future to allow the user to view the Momentum Cloud of alternate time-frames! (e.g, Viewing the 1D Momentum Cloud on the 1H timeframe)
Momentum Trader + Trinity LinesThis is an updated version of the 'Momentum Trader' by user ProfitProgrammers + the 'Bollinger Bands %b & RSI & Stochastic Smoothed Indicator & Alert' by the user Zamboniman.
Links to those original scripts are below:
script/7S49kLWh-Bollinger-Bands-b-RSI-Stochastic-Smoothed-Indicator-Alert/
script/OMULR9es-Momentum-Trader/
The only real updates are so that it works on Version 4 of pinescript and some color and visual updates that makes these two scripts work well together. This must be used on normal candles and not HA or any other types or you can get misleading entry / exit points.
Here is some info about this indicator and the moving parts within it:
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD , except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Trinity Lines:
-These 3 colored lines at the top are RSI + normalized Bollinger Band &b + normalized smoothed Stochastic.
-A confirmation entry for a long is when the lines are in the order from top to bottom of Green Yellow Red.
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) Chande Momentum is rising(positive slope). AND
3) Trinity lines are Green, Yellow, Red (Top to bottom)
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) PPO has a negative slope. AND
3) Trinity lines are Red, Yellow, Green (Top to bottom)
Effective Divergence Indicator
What is EffDI?
Effective Divergence Indicator(EffDI) is a modified Momentum indicator designed to detect divergences in stocks, futures, forex, and crypto, just to name a few.
How does it work?
It uses the EMA of daily velocity.
Isn't this the same as Momentum
No. Momentum compares the price x days ago, while this takes the EMA of the daily velocity.
Why is it better than momentum in detecting divergence?
Because it uses an EMA, an EMA gives weight to the latest prices. I don't know how to explain the logic behind this, but it works :)
ok,ok, I get it, but how do I use it to buy, sell, and get a ton of profits?
Refer to the diagram below.
Steps:
Step 1: Locate the divergence(marked A,B,C and D): no divergence, no trade.
Step 2: Locate the last EffDI high. Mark that E.
Step 3(entry): Buy when price goes above E. For shorts, Short Sell when price goes below E.
Step 4(exit): Exit position when another divergence is detected,
OR
When A new Lower Low is formed.
As you can see, if you follow the steps, there is a good chance the profits will come to you. Cheers!
DO YOU WANT MORE GOOD INDICATORS LIKE THESE TO IMPROVE YOUR TRADING? Then, make sure to follow @Trader_ph (or i will eat all of your cookies)
Feel free to use my code below, BUT make sure to credit me if you make any modifications. :)
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
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
Momentum ZigZag Territories & Momentum
Territories:overall Bullish , overall Bearish, minor Bullish , minor Bearish
Definition of trend:
BULL - consecutive HIGHER HIGH and HIGHER LOW, once NO NEW HIGHER HIGHS is formed, doesn't mean its automatically BEARISH; Once HIGHER LOW is BROKEN and PRICE forms LOWER LOW and LOWE HIGH bellow previous HIGHER LOW its officially BEAR TREND
BEAR - consecutive LOWR LOW and LOWER LOW, once NO NEW LOWER LOW is formed, doesn't mean its automatically BULLISH ; Once LOWER HIGH is BROKEN and PRICE forms HIGHER HIGH above previous HIGH its officially BULL TREND
Minor territory is shorter trend within overall trend: as Long as overall trend is not broken , it is bound to continue once minor territory gets broken
MOMENTUM - its is the motion of trend, and character of condition
Momentum is not Strategy alone, it is part of technical analysis
momentum is used to determent : current conditions (trend , range , channel ) heath and strength
Momentum TraderThis study combines two versatile momentum indicators :
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD, except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) It has been less than 3 bars since Chande Momentum was less than the lower green line. AND
3) Chande Momentum is rising(positive slope).
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) It has been less than 6 bars since the PPO value was greater than the upper bound. AND
3) PPO is less than 5 (meaning the difference between the two EMA's is less than 5%). AND
4)PPO has a negative slope.
This study comes with alert conditions for long entries and exits.
~Happy Trading~
Momentum Permission + Pivot Entry (v1.4 CLEAN ENTRY)//@version=5
indicator("Momentum Permission + Pivot Entry (v1.4 CLEAN ENTRY)", overlay=true)
// ─────────── INPUTS ───────────
pivotLookback = input.int(3, "Pivot Lookback")
smaLen = input.int(50, "SMA Length")
relVolTh = input.float(1.3, "RelVol Threshold")
// ─────────── TREND + MOMENTUM — BASICS ───────────
vwapLine = ta.vwap
smaLine = ta.sma(close, smaLen)
relVol = volume / ta.sma(volume, 10)
pivotLow = ta.lowest(low, pivotLookback) == low
trendUp = close > smaLine
aboveVWAP = close > vwapLine
greenCandle = close > open
// ─────────── PERMISSION (Context Only) ───────────
permitSignal = trendUp and (relVol > relVolTh)
// ─────────── ENTRY LOGIC — ONE CLEAN SIGNAL ───────────
rawEntry = permitSignal and aboveVWAP and pivotLow and greenCandle
// Anti-spam: only first signal in a move
entrySignal = rawEntry and not rawEntry
// ─────────── VISUAL SHAPES (Clean) ───────────
plotshape(permitSignal, style=shape.triangleup, color=color.lime, size=size.tiny, location=location.bottom, text="PERMIT")
plotshape(entrySignal, style=shape.triangleup, color=color.aqua, size=size.small, text="ENTRY")
// ─────────── TREND VISUALS ───────────
plot(vwapLine, "VWAP", color=color.blue, linewidth=2)
plot(smaLine, "SMA50", color=color.orange, linewidth=2)
Momentum Permission + Pivot Entry + Exit (v1.4)//@version=5
indicator("Momentum Permission + Pivot Entry + Exit (v1.4)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
pivotLookback = input.int(3, "Pivot Break Lookback")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
crossUp = ta.crossover(close, sma50)
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
greenCandle = close > open
// ──────────────────────────────────────────────
// One-Time Daily Trend Permission
// ──────────────────────────────────────────────
var bool permission = false
if ta.change(time("D"))
permission := false
trendStart = crossUp and aboveVWAP and relStrong and not permission
if trendStart
permission := true
// ──────────────────────────────────────────────
// Pullback Pivot Breakout Entry (Continuation Long)
// ──────────────────────────────────────────────
pivotHighBreak = close > ta.highest(high , pivotLookback)
entryTrigger = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
greenCandle and
pivotHighBreak
)
// ──────────────────────────────────────────────
// EXIT Signal (Trend Exhaustion)
// ──────────────────────────────────────────────
smaChange = sma50 - sma50
exitSignal = (
permission and // only after trend started
close < vwap and // VWAP breakdown
close < open and // red candle body
relVol > relVolThresh and // volume spike on selling
smaChange < 0 // SMA turning down / flattening
)
// ──────────────────────────────────────────────
// Plots
// ──────────────────────────────────────────────
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
// Permission marker (1 per day)
plotshape(
trendStart,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
// Entry trigger markers
plotshape(
entryTrigger,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
// EXIT marker (trend exhaustion)
plotshape(
exitSignal,
title="Exit Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.new(color.red, 0),
size=size.large,
text="EXIT"
)
Momentum Permission + VWAP + RelVol (Clean)//@version=5
indicator("Momentum Permission + VWAP + RelVol (Clean)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
crossUp = ta.crossover(close, sma50)
// Trend conditions
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
// ──────────────────────────────────────────────
// One-Time Daily Trend Permission Logic
// ──────────────────────────────────────────────
var bool permission = false
// Reset permission at start of each session
if ta.change(time("D"))
permission := false
trendStart = crossUp and aboveVWAP and relStrong and not permission
if trendStart
permission := true
// ──────────────────────────────────────────────
// Entry Trigger Logic (Breakout Continuation)
// ──────────────────────────────────────────────
entryTrigger = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
close > high // breakout of prior candle high
)
// ──────────────────────────────────────────────
// Plots
// ──────────────────────────────────────────────
// Trend filters
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
// Permission (one-time trend start)
plotshape(
trendStart,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
// Entry trigger (continuation entry)
plotshape(
entryTrigger,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
Momentum Breakout Signal//@version=5
indicator("Momentum Breakout Signal", overlay=true)
// === Breakout Logic ===
length = 20 // Lookback for recent high
recentHigh = ta.highest(high, length)
// === Breakout Condition: Close > prior high
priceBreakout = close > recentHigh
// === Volume Spike Confirmation ===
volumeSMA = ta.sma(volume, 20)
volumeSpike = volume > volumeSMA * 1.3 // Customize sensitivity
// === Optional: Filter for strong candles only
isGreen = close > open
decentRange = (high - low) > (close * 0.003)
// === Final Signal Logic ===
signal = priceBreakout and volumeSpike and isGreen and decentRange
plotshape(signal, title="Breakout Signal", location=location.abovebar, color=color.orange, style=shape.triangleup, size=size.small)
alertcondition(signal, title="Momentum Breakout Alert", message="🚀 {{ticker}} breakout confirmed at {{close}}")
AJFFRSI+QQEROC Uses Jurik RSI for smooth, responsive momentum measurement
Incorporates QQE features for trend strength and dynamic trailing stop signals
Designed for clearer, more reliable overbought/oversold and reversal signals on TradingView
Suitable for intraday, swing, and longer-term analysis
Not a financial advice. DYOR
