Stockbee Momentum BurstThis is a script to color code bars based on the bullish- and bearish combination.
Bullish Combination
Percent: Price >= 4% from yesterday and Volume today > Yesterday
Dollar: Price >= 0.9 dollar from open
Base Requirements
- Price > Yesterday's close
- Price > Open
- Price is within 30% of high
- Todays price range >= Yesterdays price range
- Yesterday's move <= 2%
- Volume >= 100 000
Bearish Combination
Percent: Price <= 4% from yesterday and Volume today > Yesterday
Dollar: Price <= 0.9 dollar from open
Base Requirements
- Price < Yesterday's close
- Price < Open
- Price is within 30% of low
- Todays price range >= Yesterdays price range
- Yesterday's move >= -2%
- Minimum volume for each of last 3 days >= 100 000
Momentum Filter
These are based on the 10 and 20 EMA crossover, where the former above would indicate upward momentum and below downward momentum. This can help to narrow down the color code to continuation phases. The linked option will override all other momentum filters, bullish candles will be displayed when EMA 10 > 20 and bearish candles when EMA 10 < 20.
Cerca negli script per "momentum"
Trend & Momentum V2Declutter your charts. Simple indicator combining trend and momentum using Moving Average (currently default to 9-day EMA) and RSI (default length of 8). A long signal is generated when the price closes above the moving average and the moving average color turns red to green which indicated that the momentum measured using RSI is greater than 50. A short signal is generated when the price closes below the moving average and the moving average color turns green to red indicating RSI is below 50. Confirmation is done if there is no reversal on the next candle. For best results use multiple timeframe charts to trade on the right side of trend and momentum.
Dynamic Momentum GaugeOverview
The Dynamic Momentum Gauge is an indicator designed to provide information and insights into the trend and momentum of a financial asset. While this indicator is not directional , it helps you know when there will be a trend, big move, or when momentum will have a run, and when you should take profits.
How It Works
This indicator calculates momentum and then removes the negative values to focus instead on when the big trend could likely happen and when it could end, or when you should enter a trade based on momentum or exit. Traders can basically use this indicator to time their market entries or exits, and align their strategies with momentum dynamics.
How To Use
As previously mentioned, this is not a directional indicator but more like a timing indicator. This indicator helps you find when the trend moves, and big moves in the markets will occur and its possibly best to exit the trades. For example, if you decide to enter a long trade if the Dynamic Momentum Gauge value is at an extreme low and another momentum indicator that you use has conditions that you would consider to long with, then this indicator is basically telling you that there isn't more space for the momentum to squeeze any longer, can only really expand from that point or stay where it currently is, but this is also a mean reverting process so it does tend to go back up from the low point.
Settings:
Length: This is the length of the momentum, by default its at 100.
Normalization Length: Length of the Normalization which ensures the the values fall within a consistent range.
TradeChartist Mean Momentum Drift Bands (MMDB)™TradeChartist Mean Momentum Drift Bands (MMDB) is a Momentum indicator that plots a Mean Momentum line (calculated automatically from sample means of many lookback periods decided by the script logic) and Upper/Lower Drift Bands (calculated using standard deviation). The script helps spot price volatility, Oversold/Overbought zones and also generates high probability breakout signals without any user input.
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Features of ™TradeChartist MMDB
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Momentum Mean and 4 upper/lower Drift bands.
No User input required.
3 Visual colour schemes - Chilli, Flame and Custom.
MMDB table that shows asset's price, RSI and values of Mean & Upper/Lower Drift bands
Breakout Signals (Bull and Bear arrows) based on price closing above or below the 1st Drift Band.
Overbought and Oversold zones.
Colour Bars based on Momentum strength.
Alerts for Bull and Bear Breakouts ( Once per bar close to be used).
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Example Charts
1. MMDB used along with ™TradeChartist MMDO (Mean Momentum Drift Oscillator) on 4hr chart of BINANCE:BTCUSDT
2. MMDB on 4hr chart of OANDA:XAUUSD
3. MMDB on 1hr chat of OANDA:SPX500USD
4. MMDB connected to ™TradeChartist Plug and Trade on BINANCE:LINKUSDTPERP
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Note: The script doesn't repaint, so the alerts can be used with confidence. To check this, users can do bar replay to confirm if the plots and markers stay in the same place.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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[blackcat] L2 Momentum Line Convergence Divergence (MLCD)Level: 2
Background
Momentum indicators are technical analysis tools that can be used to determine the strength or weakness of the stock price. Momentum measures the speed at which stock prices rise or fall. Common momentum indicators are the relative strength index (RSI) and the moving average of convergence divergence (MACD).
Function
L2 Momentum Line Convergence Divergence (MLCD) is one of my innovative indicator which is to differeniate with average of convergence divergence (MACD). So, I named it as Momentum Line Convergence Divergence (MLCD). In order for everyone to be more familiar with its useage, I inherited the traditional MACD expression method, and added golden cross (yellow cross) and dead cross (fuchsia cross) prompts, as well as bottom divergence (lime cross) and top divergence (red cross) prompts.
Key Signal
mtm --> momentum fast line
mtmaux --> momentum slow line
mtmgx --> momentum gold cross in yellow
mtmdx --> momentum dead cross in fuchsia
mtmbotdiverg --> momentum bottom divergence alert in lime cross
mtmtopdiverg --> momentum top divergence alert in red cross
Pros and Cons
Pros:
1. very stable for market price change and trend following
2. visual bottom and top divergence alerts are provided
Cons:
To be found yet
Remarks
Blackcat1402 brand MLCD indicator
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Zaree - Predictive Imparity Momentum IndicatorThe "Zaree - Predictive Imparity Momentum Indicator" (Z-PIMI) is a custom indicator designed to measure the momentum difference between two currency pairs. Let's break down its components and functionality:
Inputs:
pimiLength: Defines the period for the RSI calculation.
selectedMAType: Allows the user to choose the type of moving average (SMA, EMA, WMA, VWMA) they want to apply to the PIMI.
maLength: Defines the period for the chosen moving average.
baseCurrency & quoteCurrency: These are the two currency pairs that the user wants to compare.
Timeframe Selection:
The user can select a specific timeframe for the analysis, or they can use the chart's current timeframe.
Calculation of Currency Indices:
The closing prices of the Base Currency and Quote Currency are fetched for the selected timeframe.
The RSI (Relative Strength Index) is calculated for both currencies using the pimiLength.
The PIMI is then calculated by subtracting the RSI of the Quote Currency from the RSI of the Base Currency.
Moving Average Calculation:
A moving average of the PIMI is calculated based on the user's selected type (selectedMAType) and period (maLength).
Style Settings:
These are hardcoded values that define the levels for the upper and lower bands. These bands can help identify overbought or oversold conditions.
Highs and Lows Calculation:
The highest and lowest values of the PIMI over specified periods (highsLength and lowsLength) are calculated. These can help identify extreme values or turning points.
Plotting:
The PIMI is plotted as a white line.
The moving average of the PIMI is plotted as a purple line.
The upper and lower bands are plotted as horizontal lines at specified levels.
The highest and lowest values of the PIMI are plotted as red and green lines, respectively.
Interpretation:
The PIMI provides a measure of the momentum difference between two currency pairs. When the PIMI is rising, it indicates that the Base Currency is gaining momentum relative to the Quote Currency, and vice versa.
The moving average can be used as a signal line. For instance, when the PIMI crosses above its moving average, it might be considered a bullish signal, and when it crosses below, it might be considered bearish.
The upper and lower bands, as well as the highs and lows lines, can help identify overbought or oversold conditions. For example, if the PIMI reaches or exceeds the upper band, it might indicate overbought conditions, suggesting a potential reversal or pullback.
Overall, the Z-PIMI offers a tool to compare the momentum of two currency pairs and identify potential trading opportunities based on their relative strength and established thresholds.
True Momentum OscillatorThe True Momentum Oscillator (TMO) calculates the delta of the price using the open and close. We have taken the true momentum oscillator a step further and have added the momentum of the main signal (TMO) and the smooth signal line. We believe this helps give a clearer picture of price momentum and helps verify crossovers of the TMO and the smooth signal line. The momentum lines can also help confirm a divergence of the TMO. We have also added multiple moving average options so the user can customize the TMO to suit their needs.
TMO- Green when above Smooth Signal Line, red when below Smooth Signal Line
Smooth Signal- Gray Line
Histogram- TMO-Smooth Signal
TMO Momentum- Orange line
Smooth Signal Momentum- Yellow line
Overbought/Oversold regions- Gray highlighted boundaries
The TMO has defined overbought and oversold regions where either a crossover signal or divergence in the oscillator itself can be taken as a signal. Similar to the MACD, a crossover of the zero line by the TMO can also be utilized as a signal.
Ripple Momentum Indicator[LeonidasCrypto]Ripple momentum indicator.
This is indicator is not based on any other indicator.
This indicator is a momentum indicator.
How is working?
This indicator is calculating the gap in for each candle and determining the volatility of this candle . Applying WMA average we can get an idea if the volume is coming to the market or not.
Following the same theory as OBV oscillator "Volume will follow the price". This indicator will help to see if the asset is bearish or bullish based on volatility and volume.
How to trade?
Bullish/Bearish divergences
Trends:
Bellow the line 1: the asset should be considered bearish
Above the line 1: the asset should be considered bullish
Longs:
wait for the signal crossing the bands this is telling you the momentum/volume/volatility are expanding.
Shorts:
Wait for the signal crossing below the band. this is telling you the asset is losing momentum/volume/volume are expanding
Band:
This band is acting as dynamic support of resistance.
TradeChartist Mean Momentum Drift Oscillator (MMDO)™TradeChartist Mean Momentum Drift Oscillator (MMDO) is the Oscillator version of the ™TradeChartist Mean Momentum Drift Bands (MMDB) indicator with some added visual features to spot Momentum, divergences and Price action using ™TradeChartist Zone Visualizer model.
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Features of ™TradeChartist MMDO
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Price zone detection using ™TradeChartist Zone Visualizer model.
No User input required.
3 Visual colour schemes - Chilli, Flame and Custom.
Clear Visualization of Overbought and Oversold zones.
Colour Bars based on Momentum strength.
MDDO highs and lows tracker helps detect divergences.
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Example Charts
1. MMDO used along with ™TradeChartist MMDB (Mean Momentum Drift Bands) on 4hr chart of BINANCE:BTCUSDT
2. MMDO on 1hr chart of OANDA:EURUSD to confirm Drift Bands breakout entries on MMDB
3. MMDO on 1hr chart of BINANCE:LUNAUSDT
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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Compare Price Momentum Oscillator [CC]The Compare Price Momentum Oscillator was created by Vitali Apirine (Stocks and Commodities Aug 2020 pg 16) and this is a handy indicator to compare the momentum of the current symbol you are looking at to the s&p to determine the relative strength of the underlying security. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Kalman MomentumKalman Filter
The Kalman Filter is an algorithm used for recursive estimation and filtering of time-series data. It was developed by Rudolf E. Kálmán in the 1960s and has found widespread applications in various fields, including control systems, navigation, signal processing, and finance.
The primary purpose of the Kalman filter is to estimate the state of a dynamic system based on a series of noisy measurements over time. It operates recursively, meaning it processes each new measurement and updates its estimate of the system state as new data becomes available.
Kalman Momentum Indicator
This indicator implements the Kalman Filter to provide a smoothed momentum indicator using returns. The momentum in this indicator is calculated by getting the logarithmic returns and then getting the expected value.
The Kalman calculation in this indicator is used to filter and predict the next value based on the logarithmic returns expected value.
Here's a simplified explanation of the steps and how they are applied in the Script:
State Prediction: Predict the current state based on the previous state estimate.
Error Covariance Prediction: Predict the covariance of the prediction error.
Correction Step:
Kalman Gain Calculation: Calculate the Kalman gain, which determines the weight given to the measurement.
State Correction: Update the state estimate based on the measurement.
Error Covariance Correction: Update the error covariance.
In this Script, the Kalman Filter is applied to estimate the state of the system, with two state variables.
When the Kalman Momentum is above 0, there is positive momentum or positive smoothed expected value.
When the Kalman Momentum is below 0, there is negative momentum or negative smoothed expected value.
How to Use:
Trend Identification:
Positive values of the Kalman Momentum Indicator indicates positive expected value, while negative values suggest negative expected value.
You can look for changes in the sign of the indicator to identify potential shifts in market direction.
Volatility Analysis:
Observe the behavior of the indicator during periods of high and low volatility. Changes in the volatility of the Kalman Momentum Indicator may precede changes in market conditions.
Filtering Noise:
The Kalman Filter is known for its ability to filter out noise in time series data. Use the Kalman Momentum Indicator to filter out the noise in momentum to catch the trend more clearly.
Squeezes:
At time there may be squeezes, and these are zones with low volatility. What could follow after these zones are expansions and huge trending moves.
Indicator Settings:
You can change the source of the calculations.
There is also a lookback for the log returns.
Understanding Expected Value in Trading:
The Expected Value is a fundamental concept that shows the potential outcomes of a trading strategy or individual trade over a series of occurrences. It is a measure that represents the average outcome when a particular action is repeated multiple times.
Images of the indicator:
Z-Score Based Momentum Zones with Advanced Volatility ChannelsThe indicator "Z-Score Based Momentum Zones with Advanced Volatility Channels" combines various technical analysis components, including volatility, price changes, and volume correction, to calculate Z-Scores and determine momentum zones and provide a visual representation of price movements and volatility based on multi timeframe highest high and lowest low values.
Note: THIS IS A IMPROVEMNT OF "Multi Time Frame Composite Bands" INDICATOR OF MINE WITH MORE EMPHASIS ON MOMENTUM ZONES CALULATED BASED ON Z-SCORES
Input Options
look_back_length: This input specifies the look-back period for calculating intraday volatility. correction It is set to a default value of 5.
lookback_period: This input sets the look-back period for calculating relative price change. The default value is 5.
zscore_period: This input determines the look-back period for calculating the Z-Score. The default value is 500.
avgZscore_length: This input defines the length of the momentum block used in calculations, with a default value of 14.
include_vc: This is a boolean input that, if set to true, enables volume correction in the calculations. By default, it is set to false.
1. Volatility Bands (Composite High and Low):
Composite High and Low: These are calculated by combining different moving averages of the high prices (high) and low prices (low). Specifically:
a_high and a_low are calculated as the average of the highest (ta.highest) and lowest (ta.lowest) high and low prices over various look-back periods (5, 8, 13, 21, 34) to capture short and long-term trends.
b_high and b_low are calculated as the simple moving average (SMA) of the high and low prices over different look-back periods (5, 8, 13) to smooth out the trends.
high_c and low_c are obtained by averaging a_high with b_high and a_low with b_low respectively.
IDV Correction Calulation : In this script the Intraday Volatility (IDV) is calculated as the simple moving average (SMA) of the daily high-low price range divided by the closing price. This measures how much the price fluctuates in a given period.
Composite High and Low with Volatility: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots.
Composite High and Low with Volatility Correction: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots.
2. Momentum Blocks Based on Z-Score:
Relative Price Change (RPC):
The Relative Price Change (rpdev) is calculated as the difference between the current high-low-close average (hlc3) and the previous simple moving average (psma_hlc3) of the same quantity. This measures the change in price over time.
Additionally, std_hlc3 is calculated as the standard deviation of the hlc3 values over a specified look-back period. The standard deviation quantifies the dispersion or volatility in the price data.
The rpdev is then divided by the std_hlc3 to normalize the price change by the volatility. This normalization ensures that the price change is expressed in terms of standard deviations, which is a common practice in quantitative analysis.
Essentially, the rpdev represents how many standard deviations the current price is away from the previous moving average.
Volume Correction (VC): If the include_vc input is set to true, volume correction is applied by dividing the trading volume by the previous simple moving average of the volume (psma_volume). This accounts for changes in trading activity.
Volume Corrected Relative Price Change (VCRPD): The vcrpd is calculated by multiplying the rpdev by the volume correction factor (vc). This incorporates both price changes and volume data.
Z-Scores: The Z-scores are calculated by taking the difference between the vcrpd and the mean (mean_vcrpd) and then dividing it by the standard deviation (stddev_vcrpd). Z-scores measure how many standard deviations a value is away from the mean. They help identify whether a value is unusually high or low compared to its historical distribution.
Momentum Blocks: The "Momentum Blocks" are essentially derived from the Z-scores (avgZScore). The script assigns different colors to the "Fill Area" based on predefined Z-score ranges. These colored areas represent different momentum zones:
Positive Z-scores indicate bullish momentum, and different shades of green are used to fill the area.
Negative Z-scores indicate bearish momentum, and different shades of red are used.
Z-scores near zero (between -0.25 and 0.25) suggest neutrality, and a yellow color is used.
Banded Chikou Breakout — Quantifying Ichimoku MomentumTitle: Banded Chikou Breakout — Quantifying Ichimoku Momentum
Overview:
Banded Chikou Breakout (BCB) is a unique, algorithmic script designed to augment the capabilities of traders seeking substantial breakout opportunities. Constructed on the robust principles of the Ichimoku trading strategy, BCB is designed to quantify and filter the Chikou Span's significant breakouts above or below the price action. This script does not aim to replace the Ichimoku system; instead, it enhances it, providing an optimized tool for momentum trading.
Rationale:
Ichimoku traders often scrutinize the Chikou Span's position relative to price action to identify market trends. However, determining whether the Chikou Span is above or below due to a genuine trend or mere market noise can be challenging in choppy markets. BCB resolves this predicament by offering a unique way to interpret the Chikou Span's movement. It does so by quantifying the Chikou Span's momentum and utilizing Bollinger Bands to determine its significance. By effectively differentiating substantial movements from the insignificant, BCB can help traders better navigate the market and increase their potential for profitable trades.
How it Works:
BCB combines three key elements: a Momentum Script (simulating Chikou Span), a Bollinger Band Script, and a Timeframe Switcher, all working together to provide a refined trading perspective.
Momentum Script: Calculates the price difference between the current price and the price 'n' periods ago, transforming the Chikou Span into a quantifiable momentum value that signifies the strength and speed of a market move.
Bollinger Band Script: Computes a Simple Moving Average (SMA) around the momentum, plotting two 'bands' at a specified standard deviation from this SMA. This functionality allows traders to discern when the Chikou Span's momentum is abnormally high or low, signifying a potential significant breakout.
Timeframe Switcher: This feature lets traders apply the BCB script to a different timeframe from the one they are currently viewing. This capability can help traders identify higher timeframe breakouts and trade them with precision on the lower timeframe.
How to Use:
BCB is designed to complement the Ichimoku strategy for effective breakout identification.
Add the BCB script to your trading chart. It plots the momentum (yellow line) and Bollinger Bands (green lines) with the area between the bands shaded blue.
Utilize the Ichimoku strategy to identify larger and smaller timeframe trends.
Optional: Leverage the timeframe switcher to synchronize your trades with higher timeframe trends while operating on lower timeframes.
If the BCB momentum line crosses the upper Bollinger Band while the Ichimoku indicates a bullish trend, it signifies a potential significant upward breakout. Similarly, a cross below the lower band during a bearish trend could denote a significant downward breakout.
Remember, without the context provided by the Ichimoku system's trend analysis, BCB can yield false breakouts. It is, therefore, crucial to use these tools in tandem. I like to check for an Ichimoku trend on the 4H and 1H charts, and then use BCB on charts <60 minutes to capture trends with precision.
Adaptive Momentum Channel - [Volume Filter]The Adaptive Momentum Channel with Volume Filter (Adaptive MCVF) is an indicator that utilizes an adaptive RSI to adjust its sensitivity based on the market conditions. The RSI component of the indicator calculates the standard deviation and mean deviation of RSI values and uses these to calculate the adaptive RSI. The volume filter component of the indicator filters the adaptive RSI based on the volume average, allowing the indicator to identify trend changes and filter out market noise.
The indicator plots the upper and lower bands of the Adaptive MCVF, which are calculated by taking the moving average of the filtered RSI and applying an offset based on the standard deviation. A fast moving average is also plotted, which can be used to identify short-term changes in the trend.
The Adaptive MCVF also includes a divergence identification feature, which can be used to identify potential trend changes. The indicator plots regular bullish and bearish divergences, as well as hidden bullish and bearish divergences.
This is a variant of my previous MCVF indicator, this one simply allows you to take the standard deviation of the momentum and use it to make the indicator a bit more adaptive!
I made it protected to hide the standard deviation math and the auto divergence code.
You can always use this indicator by pressing "favorite";)
Multi period momentum (30m)I found that when there is oversold or overbought, there is always a good point to buy. Buyers can enter the market after oversold drops or overbought turns. It is recommended not to intervene when overbought or oversold is started, because this may be a deviation.
The basic logic of the strategy is to detect multi period and multi empty conditions. When the multiple or short forces reach an extreme value, we think there will be a good reversal. Based on this, we believe that the best use here is 30m cycle.
I will release the version of multiple cycles in the future. My favorite friends can pay attention to it.
1. Based on multi period resonance;
2. The total score of momentum coefficient is 36, and the lowest score is 0; If the coefficient score is greater than 18, it is a long trend; if the coefficient score is less than 18, it is a short trend. It is recommended to look long if the coefficient score is greater than 18 and short if the coefficient score is less than 10;
3. The closer the momentum coefficient is to the extreme value, the greater the possibility of inversion. Therefore, it can be considered that when it is greater than 30, empty orders can be placed, and when it is less than 5, multiple orders can be placed;
4. This index calculates the resonance coefficient in combination with multiple periods of 5m, 15m, 30m, 1h, 2h and 4h. The most suitable period is 30m, because this period is the middle value;
5. You can use the 30m cycle to look at the overall direction and the 5m cycle to find the exact trading opportunities.
MFI + RSI + MOM With Bull & Bear Trend LabelMOMENTUM + MONEY FLOW INDEX + RELATIVE STRENGTH INDEX WITH BULL & BEAR LABELS
This is a combination of 3 popular indicators. Momentum(MOM), Money Flow Index(MFI) and Relative Strength Index(RSI) along with color changing labels that tell you each indicator's current trend.
The middle white line shows the level that each indicator needs to stay above to be bullish and below for bearish. Watch for all three indicators to cross and hold above or below the mid line for big moves.
It is important to note that these indicators do not need to be going up to be bullish or down to be bearish. They just need to hold above or below the mid line to understand the overall trend.
The momentum indicator is the most relevant in my opinion. If it is holding above the mid line steadily, usually the overall trend will continue upwards so look to buy the dips if the momentum cloud is staying above the white line and vice versa.
It is also important to note that the default settings for this indicator are the 100 period as I find it to be super relevant across most charts but these numbers can be changed in the indicator settings.
Since momentum swings wildly past the normal 0-100 range, it is important to note that the momentum line has been “normalized” to stay within this same range as the rsi and mfi. So if you look at a normal momentum indicator side by side with this indicator it will not look the same however, I find it to be a very good indicator of overall direction so I know the current market sentiment even when price is diverging from the indicator directions.
All of the colors, sources and lengths can be easily customized in the indicator settings input tab.
***HOW TO USE***
When Momentum is above the mid line, it is bullish. When Momentum is below the mid line, it is bearish.
A label on the right side will update in real time to tell you if momentum is Bullish or Bearish for faster recognition of the trend.
When RSI is above the mid line, it is bullish. When Momentum is below the mid line it is bearish.
A label on the right side will update in real time to tell you if RSI is Bullish or Bearish for faster recognition of the trend.
When MFI is above the mid line, it is bullish. When MFI is below the mid line it is bearish.
A label on the right side will update in real time to tell you if MFI is Bullish or Bearish for faster recognition of the trend.
This indicator was built to help you quickly identify the Bullish or Bearish nature of the current trend with a live color changing label so you can glance at the label and understand it's direction without analyzing the indicator data.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This mom + mfi + rsi indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Directional Movement Index, Volume Profile, Auto Support And Resistance and Money Flow Index in combination with this indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Ehlers Smoothed Adaptive Momentum [LazyBear]Bored of Ehlers yet? :) I still have plenty of Ehlers in my collection, was thinking of publishing one of his Fishers or Adaptive RVI next, but @ChartArt requested Smoothed Adaptive Momentum (SAM), so here we go...
This is my 200th script (not including the variations and other custom scripts I shared over PM). My complete list of indicators here - bit.ly
Now, about the indicator :)
This smoothed adaptive momentum is straightforward to use (per Ehlers original rules). If it crosses above zero buy the next open, if it crosses below zero sell the next open. Of course, I strongly suggest filtering the signals.
Finally, here's an Ehlers-only chart to help determine where BTC is heading :P
More info:
- Ehlers CG Oscillator:
- Cybernetic Analysis for Stocks and Futures (Ehlers)
List of my public indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
--Updated chart--
Here's the chart with barcolors ON (forgot to turn it on in the published one)
Dynamic Momentum Index (DMI) This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
Momentum Trend Strength (MTS) *Julian_Acunja*Momentum Trend Strength (MTS)
The Momentum Trend Strength (MTS) indicator visually represents market momentum directly on your chart. By clearly highlighting momentum direction and intensity, traders can easily recognize shifts in market sentiment and anticipate potential turning points.
Traders can easily adjust the sensitivity and smoothing parameters, making it adaptable to diverse market conditions and trading strategies.
🔹 USAGE
The Momentum Trend Strength indicator helps traders intuitively detect market momentum, enhancing their ability to anticipate and respond dynamically to changing market conditions. Traders typically interpret three main scenarios using this indicator:
🚀 Momentum Acceleration:
An expanding green line above recent price action signals increasing bullish momentum, suggesting buyers are gaining strength. Conversely, a downward-expanding red line below price action indicates stronger bearish momentum, signifying increasing selling pressure.
🔄 Momentum Reversal:
A clear shift from red to green (or vice versa) often signals potential momentum reversals, providing traders with timely indications of possible market turns or shifts in sentiment.
⚖️ Momentum Consolidation:
When the indicator remains near the price line, it suggests weak momentum and potential market consolidation. Traders might interpret this as a range-bound market environment, adjusting their strategies accordingly.
By carefully monitoring these momentum shifts, traders can gain deeper insights into the underlying market dynamics and better prepare for future price movements.
🔹 DETAILS
The indicator’s momentum visualization is presented directly over the current price action, enhancing traders' ability to rapidly interpret momentum without additional chart clutter:
✅ Green Line: Positive momentum (bullish bias).
❌ Red Line: Negative momentum (bearish bias).
The vertical distance between the Momentum Trend Strength line and price visually indicates momentum intensity:
Larger distance: Signifies stronger market momentum.
Smaller distance: Suggests weakening momentum or neutral conditions.
🔹 Interpretation
Key interpretations include:
Bullish Confirmation: Sustained green lines indicate robust buying activity and confirm bullish trends.
Bearish Confirmation: Persistent red lines suggest strong selling pressure and validate bearish market sentiment.
Early Reversal Signals: Color transitions alert traders to potential market reversals, providing early opportunities to reassess trades.
🔹 Practical Application
Traders commonly integrate Momentum Trend Strength (MTS) into their broader trading strategies by:
Confirming directional trends alongside price action analysis.
Identifying optimal trade entry and exit points during momentum shifts.
Reducing market noise through customizable smoothing, enhancing clarity of momentum signals.
🔹 SETTINGS
📌 Momentum Parameters
Length: Adjusts sensitivity for momentum detection, influencing how quickly momentum shifts are identified.
EMA Smoothing: Determines the level of noise filtering, balancing signal responsiveness and smoothness.
📌 Visualization
Automatic color adaptation clearly signals bullish or bearish momentum.
Simple default visualization settings optimize usability for traders across various markets and timeframes.
🔹 ADDITIONAL NOTES
The Momentum Trend Strength (MTS) indicator provides traders with a straightforward yet powerful visualization of momentum directly on the price chart. Its intuitive nature and adaptive settings make it a valuable addition to various trading approaches and analytical methods, helping traders confidently interpret market movements and momentum dynamics in real-time.
Smoother Momentum Stops [Loxx]Smoother Momentum Stops (SMS) is a dynamic tool that combines the logic of momentum and moving averages to create an overlay of the market price and generate potential trade signals. The original idea for this indicator comes from the beloved and esteemed trading indicator guru Mladen Rakic.
Understanding the Framework
The SMS incorporates various aspects of technical analysis, including momentum calculation, several types of moving averages, and an intelligent stop-and-reverse system that determines when to enter and exit trades.
The indicator initiates by defining the color scheme for visualization, specifically green for bullish trends and red for bearish trends. It further utilizes the 'smmom' and 'fema' functions to calculate smoothed momentum and fast exponential moving averages, respectively. The values computed by these functions are central to the signal generation process.
Momentum Calculation
The 'smmom' function serves to calculate a smoother momentum by taking a source (such as the closing price) and a period as inputs. This function employs a complex algorithm involving exponential moving averages (EMA), wherein two EMAs are calculated with different smoothing factors, and the difference between the two results is returned as the output. This smooth momentum calculation assists in eliminating unnecessary noise from the market and delivers more reliable momentum readings.
Moving Averages Computation
One key feature of the SMS is the ability to select from five different moving average types: Exponential Moving Average (EMA), Fast Exponential Moving Average (FEMA), Linear Weighted Moving Average (LWMA), Simple Moving Average (SMA), and Smoothed Moving Average (SMMA). The 'variant' function assigns the chosen method to the '_avg' variable, which is then used in the trade signal logic.
Trade Signal Generation
SMS employs a complex yet robust mechanism for generating trade signals. A stop-and-reverse system is established, which works on the principle of momentum. If the smoothed momentum is positive, an upper stop is determined and if the momentum is negative, a lower stop is defined.
The process continues by defining long and short entry conditions. The indicator goes long when an upper stop exists, and the previous bar had a lower stop, signifying a shift in momentum. The short entry condition is the opposite: the indicator goes short when a lower stop exists, and the previous bar had an upper stop. Alerts are generated for each of these conditions, helping traders to take timely action.
Visual Representation and UI Options
In terms of visual representation, the indicator plots upper and lower stops, employing green color for upper and red for lower stops. If the option to color bars is chosen, the entire bar is colored green or red, based on whether an upper or lower stop exists. This feature allows traders to visually comprehend market conditions better. Support and reisstance levels are also provided for visual context.
Conclusion
The Smoother Momentum Stops indicator is a potent tool for traders seeking to optimize their trading strategies. It blends the fundamentals of momentum and moving averages, resulting in a robust system that provides clear, reliable, and timely trading signals. By adjusting the smoothing type and period parameters, traders can customize the indicator to fit various market conditions and asset types, thereby adding a layer of flexibility to their trading strategies.
The use of a stop-and-reverse system adds a layer of risk management by offering precise entry and exit points based on momentum shifts. These stops are not just mere levels of entries or exits, but they reflect the undercurrent of the market's momentum, thus providing a dynamic framework to make informed trading decisions.
Additionally, the SMS indicator offers visual simplicity. The color-coded bars and distinct symbols for long and short positions make it easier for traders to interpret the signals and market direction quickly. Combined with the alert system, it ensures that traders never miss an important trading opportunity.
Finally, the power of the SMS indicator lies in its adaptability and comprehensive approach. By providing a selection of moving averages and an intelligent momentum-based system, it encapsulates various aspects of market behavior. As such, it is a useful tool not just for momentum traders, but for any trader who understands the significance of moving averages and momentum in predicting market movements.
In conclusion, the Smoother Momentum Stops indicator stands as an innovative, adaptable, and powerful tool for the modern trader. Its blend of flexibility, dynamic risk management, and straightforward visualization offer a comprehensive solution for traders looking to navigate the complex world of financial markets. With a detailed understanding of its workings as presented in this essay, traders can harness its full potential to optimize their strategies, manage risk, and achieve their trading objectives.
(Very promising) [Abdullah Ahmed] Momentum indicator V.1Description: MOM-LRC is a powerful technical analysis indicator designed to provide traders with signals based on the momentum of an asset's price and its deviation from its mean value. The indicator calculates the exponential RSI and uses a custom function to determine the percentage change from the mean. The upper and lower bands of the momentum channel are then calculated using linear regression of the rate of change from the mean. The channel multiplier can be adjusted to increase or decrease the sensitivity of the indicator.
How to use :
1 - Using MOM-LRC , look for buy signals when the price of the asset is below the lower border of the channel and retracing up. The opposite is true in the case of sell signals.
2 - It is also used in the case of negative and positive divergences, just as you use RSI
The indicator can be used on any time frame and any asset, making it a versatile tool for traders of all levels.
features:
Calculates exponential RSI and percentage change from the mean
Uses linear regression to calculate upper and lower bands of momentum channel
Adjustable channel multiplier for increased sensitivity
Suitable for any time frame and any asset
Happy trading!
Relative Strength MomentumThe RSI is a traders friend - it can provide insight that other indicators simply cannot. The RSI achilles heel is that it can often fail to highlight divergence. Constance Brown attempted to resolve this problem with the 'Composite index' - a powerful tool. However.. for me, looking at two indicators can get a bit much - especially if viewing multiple time-frames. I want one tool which provides the RSI, it's ranging/reversal behaviour (as documented by Andrew Cardwell) and a better grasp of momentum swings (via divergence and reversal signals). So this is my best effort, and I hope it can prove useful to some of you. At first the differences may be hard to spot - but they are there!
My default settings are optimised - as with the 'normal' RSI you can expect a bullish trend to result in few (if any) moves below 30. In a bearish trend, you can expect few (if any) incursions above 70. Cardwell's observations apply. I recommend using this with a 50 period EMA to provide some additional context.
