Trend, Momentum, Volume Delta Ratings Emoji RatingsThis indicator provides a visual summary of three key market conditions - Trend, Momentum, and Volume Delta - to help traders quickly assess the current state of the market. The goal is to offer a concise, at-a-glance view of these important technical factors.
Trend (HMA): The indicator uses a Hull Moving Average (HMA) to assess the overall trend direction. If the current price is above the HMA, the trend is considered "Good" or bullish (represented by a 😀 emoji). If the price is below the HMA, the trend is "Bad" or bearish (🤮). If the price is equal to the HMA, the trend is considered "Neutral" (😐).
Momentum (ROC): The Rate of Change (ROC) is used to measure the momentum of the market. A positive ROC indicates "Good" or bullish momentum (😀), a negative ROC indicates "Bad" or bearish momentum (🤮), and a zero ROC is considered "Neutral" (😐).
Volume Delta: The indicator calculates the difference between the current trading volume and a simple moving average of the volume (Volume Delta). If the Volume Delta is above a user-defined threshold, it is considered "Good" or bullish (😀). If the Volume Delta is below the negative of the threshold, it is "Bad" or bearish (🤮). Values within the threshold are considered "Neutral" (😐).
The indicator displays these three ratings in a compact table format in the top-right corner of the chart. The table uses color-coding to quickly convey the overall market conditions - green for "Good", red for "Bad", and gray for "Neutral".
This indicator can be useful for traders who want a concise, at-a-glance view of the current market trend, momentum, and volume activity. By combining these three technical factors, traders can get a more well-rounded understanding of the market conditions and potentially identify opportunities or areas of concern more easily.
The user can customize the indicator by adjusting the lengths of the HMA, ROC, and Volume moving average, as well as the Volume Delta threshold. The colors used in the table can also be customized to suit the trader's preferences.
Cerca negli script per "momentum"
Squeeze Momentum Oscillator [AlgoAlpha]🎉📈 Introducing the Squeeze Momentum Oscillator by AlgoAlpha 📉🎊
Unlock the secrets of market dynamics with our innovative Squeeze Momentum Oscillator! Crafted for those who seek to stay ahead in the fast-paced trading environment, this tool amalgamates critical market momentum and volatility indicators to offer a multifaceted view of potential market movements. Here's why it's an indispensable part of your trading toolkit:
Key Features:
🌈 Customizable Color Schemes: Easily distinguish between bullish (green) and bearish (red) momentum phases for intuitive analysis.
🔧 Extensive Input Settings: Tailor the oscillator lengths for both Underlying and Swing Momentum to match your unique trading approach.
📊 Dedicated Squeeze Settings: Leverage precise volatility insights to identify market squeeze scenarios, signaling potential breakouts or consolidations.
🔍 Advanced Divergence Detection: Utilize sophisticated algorithms to detect and visualize both bullish and bearish divergences, pointing towards possible market reversals.
📈 Hyper Squeeze Detection: Stay alert to high-momentum market movements with our hyper squeeze feature, designed to extremely suppressed market volatility.
🔔 Comprehensive Alert System: Never miss a trading opportunity with alerts for momentum changes, squeeze conditions, and more.
Quick Guide to Using the Squeeze Momentum Oscillator:
🛠 Add the Indicator: Add the indicator to your favourites. Adjust the oscillator and squeeze settings to suit your trading preferences.
📊 Market Analysis: Keep an eye on the squeeze value and momentum z-score for insights into volatility and market direction. Hyper Squeeze signals are your cue for high momentum trading opportunities.
🔔 Alerts: Configure alerts for shifts in underlying and swing momentum, as well as entry and exit points for squeeze conditions, to capture market moves efficiently.
How It Works:
The Squeeze Momentum Oscillator by AlgoAlpha synergistically combines the principles of momentum tracking and market squeeze detection. By integrating the core logic of the Squeeze & Release indicator, it calculates the Squeeze Value (SV) through a comparison of the Exponential Moving Average (EMA) of the Average True Range (ATR) against the high-low price EMA. This SV is further analyzed alongside its EMA to pinpoint squeeze conditions, indicative of potential market breakouts or consolidations. In addition to this, the oscillator employs Hyper Squeeze Detection for identifying extremely low volatility. The momentum aspect of the oscillator evaluates the price movement relative to EMAs of significant highs and lows, refining these observations with a z-score normalization for short-term momentum insights. Moreover, the incorporation of divergence detection aids in identifying potential reversals, making this oscillator a comprehensive tool for traders looking to harness the power of volatility and momentum in their market analysis. The combination of the Squeeze & Release and the Momentum Oscillator allows traders to time their trades with more precision by entering when the market is in a squeeze and front running the volatility of a major move.
Elevate your trading strategy with the Squeeze Momentum Oscillator by AlgoAlpha and gain a competitive edge in deciphering market dynamics! 🌟💼 Happy trading!
Weighted Momentum Forecast
The Weighted Momentum Forecast (EWMF) is a predictive indicator designed to forecast the potential direction and magnitude of the next candle's close. It combines the principles of momentum, trend confirmation, and volatility adjustment to make its predictions.
**Components:**
1. **Rate of Change (ROC)**: Measures the momentum of the market.
2. **Average True Range (ATR)**: Represents the market's recent volatility.
3. **Moving Average Convergence Divergence (MACD)**: Used to confirm the momentum's direction.
4. **Trend Moving Average**: A longer-term moving average to confirm the general trend.
5. **Bollinger Bands**: Adjusts the forecast to account for extreme predictions.
**Logic:**
1. **Momentum Bias**: The crossover and crossunder of the MACD line and its signal line are used to determine the momentum's bias. A crossover indicates a bullish bias, while a crossunder indicates a bearish bias.
2. **Trend Confirmation**: If the current close is above the trend moving average, the indicator has a bullish bias, and vice versa.
3. **Forecast Calculation**: The forecast for the next candle's close is calculated based on the current close, the rate of change, the momentum's bias, and the trend's bias. This value is then adjusted for volatility using the ATR.
4. **Volatility Adjustment**: If the forecasted value is beyond the Bollinger Bands, it's adjusted to be within the bands to account for extreme predictions.
**Usage:**
The EWMF plots a purple line representing the forecasted value of the next candle's close. This forecasted value provides traders with a visual representation of where the price might head in the next period, based on recent momentum, trend, and volatility.
**Note**: This is a heuristic approach and is not guaranteed to be accurate. It's essential to use this indicator in conjunction with other tools, backtest on historical data, and use proper risk management techniques. Always be aware of the inherent risks involved in trading and never risk more than you're willing to lose.
The Swinging Momentum IndicatorThe Swinging Momentum indicator is a custom trading indicator that looks at price momentum to identify potential buy and sell signals. It uses the rate of change in closing price over the last few bars to determine if momentum is increasing or decreasing. It also looks at the relationship of the close price to recent highs and lows, volume, and short term moving averages to confirm the strength of the momentum signal.
The indicator has two main components - identifying initial buy and sell signals, and then rating the strength of those signals. For buys, it looks for an increase in closing price momentum along with a close above recent highs and highest volume. For sells, it looks for a decrease in momentum and close below recent lows and highest volume. This identifies the initial signal without too many false signals.
It then looks at multiple factors to grade the strength of the signal, on a scale of 0 to 3. For buys it looks at how the close compares to the open, high and low of the last 4 bars, if the current low is above the recent low, and if there are more gaining days than losing days recently. For sells it looks at the close versus the open/high/low, if the current high is below the recent high, and if there are more losing than gaining days.
Each condition met adds 1 point to the strength rating. A rating above 2 is considered a strong momentum signal. This filters out weaker signals and reduces whipsaws.
The end result is plotted on the chart. Buy signals are triangles pointing up below the bars, sells are triangles pointing down above the bars. The colors help visualize the strength - strong signals are green for buys and red for sells, while weaker signals are yellow.
Trading with the Swinging Momentum indicator is straightforward. Strong buy signals identify upside momentum, so traders would look to enter long positions on a retest of the buy signal bar high. Strong sell signals identify downside momentum, so short positions can be entered on a retest of the bar low. Stops are placed beyond recent swing points in the opposite direction of the trade.
Since momentum can quickly change, risk management is key. Traders should look for other confirming indicators to strengthen the probability of a momentum trade working out. Good additional indicators to use with momentum include volume, trends, support/resistance and volatility measures.
The advantage of the Swinging Momentum indicator is that isolating the strongest momentum moves helps traders focus on higher probability trade setups. Monitoring both the initial signal and the strength rating gives an added level of confidence compared to standard momentum indicators. This custom indicator combines multiple momentum strategies into one, allowing traders to quickly identify and evaluate momentum opportunities on the chart.
Used appropriately with sound risk management, the Swinging Momentum indicator can be a valuable addition to a trading system. It visualizes both the direction and strength of momentum, key factors when trading trends and breakouts. While no indicator is perfect, understanding and utilizing momentum is a key concept for traders to master. This indicator provides a graphical representation to improve the way momentum is incorporated into trading decisions.
RSI Momentum TrendThe "RSI Momentum Trend" indicator is a valuable tool for traders seeking to identify momentum trends.
By utilizing the Relative Strength Index (RSI) and customizable momentum thresholds, this indicator helps traders spot potential bullish and bearish signals.
you can adjust input parameters such as the RSI period, positive and negative momentum thresholds, and visual settings to align with their trading strategies.
The indicator calculates the RSI and evaluates two momentum conditions: positive and negative.
The positive condition considers the previous RSI value, current RSI value, and positive change in the 5-period exponential moving average (EMA) of the closing price.
The negative condition looks at the current RSI value and negative change in the 5-period EMA.
Once a momentum condition is met, the indicator visually represents the signal on the chart.
The "RSI Momentum Trend" indicator provides you with a quick and effective way to identify momentum trends using RSI calculations.
By incorporating visual cues and customizable parameters, it assists traders in making informed decisions about potential market movements.
Trailing Stop with RSI - Momentum-Based StrategyTrailing Stop with RSI - Momentum-Based Strategy
Description:
The Trailing Stop with RSI strategy combines momentum analysis and trailing stop functionality to help traders identify potential entry and exit points in their trading decisions. This strategy is suitable for various markets and timeframes.
Key Features:
Momentum Analysis: The strategy incorporates momentum indicators to identify potential buying and selling opportunities based on momentum shifts in the price.
Trailing Stop Functionality: The strategy utilizes a trailing stop to protect profits and dynamically adjust the stop loss level as the trade moves in the desired direction.
RSI Confirmation: The Relative Strength Index (RSI) is included to provide additional confirmation for trade entries by considering overbought and oversold conditions.
How to Use:
Entry Conditions: Long positions are triggered when positive momentum is detected, and the RSI confirms an oversold condition. Short positions are triggered when negative momentum is detected, and the RSI confirms an overbought condition.
Trailing Stop Activation: Once a position is opened, the trailing stop is activated when the specified profit level (as a percentage) is reached.
Trailing Stop Level: The trailing stop maintains a stop loss level at a specified distance (as a percentage) from the highest profit achieved since opening the position.
Exit Conditions: The trailing stop will trigger an exit and close all positions when the trailing stop level is breached.
Markets and Conditions:
This strategy can be applied to various markets, including stocks, forex, cryptocurrencies, and commodities. It can be used in trending and ranging market conditions, making it versatile for different market environments.
Important Considerations:
Adjust Parameters: Traders can modify the length of the momentum and RSI indicators to suit their preferred timeframe and trading style.
Risk Management: It is recommended to consider appropriate position sizing, risk-to-reward ratios, and overall risk management practices when using this strategy.
Backtesting and Optimization: Traders are encouraged to backtest the strategy on historical data and optimize the parameters to find the best settings for their chosen market and timeframe.
By incorporating momentum analysis, trailing stop functionality, and RSI confirmation, this strategy aims to provide traders with a systematic approach to capturing profitable trades while managing risk effectively.
Strategy Myth-Busting #11 - TrendMagic+SqzMom+CDV - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our 11th one is an automated version of the "Magic Trading Strategy : Most Profitable Indicator : 1 Minute Scalping Strategy Crypto" strategy from "Fx MENTOR US" who doesn't make any official claims but given the indicators he was using, it looked like on the surface that this might actually work. The strategy author uses this on the 1 minute and 3 minute timeframes on mostly FOREX and Heiken Ashi candles but as the title of his strategy indicates is designed for Crypto. So who knows..
To backtest this accurately and get a better picture we resolved the Heiken Ashi bars to standard candlesticks . Even so, I was unable to sustain any consistency in my results on either the 1 or 3 min time frames and both FOREX and Crypto. 10000% Busted.
This strategy uses a combination of 3 open-source public indicators:
Trend Magic by KivancOzbilgic
Squeeze Momentum by LazyBear
Cumulative Delta Volume by LonesomeTheBlue
Trend Magic consists of two main indicators to validate momentum and volatility. It uses an ATR like a trailing Stop to determine the overarching momentum and CCI as a means to validate volatility. Together these are used as the primary indicator in this strategy. When the CCI is above 0 this is confirmation of a volatility event is occurring with affirmation based upon current momentum (ATR).
The CCI volatility indicator gets confirmation by the the Cumulative Delta Volume indicator which calculates the difference between buying and selling pressure. Volume Delta is calculated by taking the difference of the volume that traded at the offer price and the volume that traded at the bid price. The more volume that is traded at the bid price, the more likely there is momentum in the market.
And lastly the Squeeze Momentum indicator which uses a combination of Bollinger Bands, Keltner Channels and Momentum are used to again confirm momentum and volatility. During periods of low volatility, Bollinger bands narrow and trade inside Keltner channels. They can only contract so much before it can’t contain the energy it’s been building. When the Bollinger bands come back out, it explodes higher. When we see the histogram bar exploding into green above 0 that is a clear confirmation of increased momentum and volatile. The opposite (red) below 0 is true when there are low periods. This indicator is used as a means to really determine when there is premium selling plays going on leading to big directional movements again confirming the positive or negative momentum and volatility direction.
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Trading Rules
1 - 3 min candles
FOREX or Crypto
Stop loss at swing high/low | 1.5 risk/ratio
Long Condition
Trend Magic line is Blue ( CCI is above 0) and above the current close on the bar
Squeeze Momentum's histogram bar is green/lime
Cumulative Delta Volume line is green
Short Condition
Trend Magic line is Red ( CCI is below 0) and below the current close on the bar
Squeeze Momentum's histogram bar is red/maroon
Cumulative Delta Volume line is peach
[blackcat] L2 Bull-Bear MomentumLevel 2
Background
Momentum effect is generally called "inertia effect". Momentum effect was proposed by Jegadeesh and Titman (1993), which refers to the tendency of the return rate of the stock to continue the original direction of movement, that is, the return rate of the stock with a higher return rate in the past period will still be higher than the return rate in the past low-yielding stocks.
Function
The Bullish and Bearish Momentum Technical Indicator is a strategy for buying and selling by analyzing the strength and weakness of recent price trends. Traders seek to take advantage of the rising or falling trend of stock prices. When this technical indicator indicates that the stock is entering a strong upward trend, the trader will buy the stock; Will choose to short the stock.
In short, momentum trading is trading with the trend. Momentum trading is based on the idea that if there is enough momentum behind the current price action, it will continue to move in the same direction. When an asset reaches a higher price, it usually attracts more investor attention, driving up the market price. The price rise continues until sellers start to enter the market consistently, and once sellers slowly outpace buyers, momentum weakens and the trend may reverse.
I have not marked special tags for this indicator usage. Users are expected to define according to their own understanding. On the whole, the basic usage is to start long positions when the first green column appears; when the first red column appears, close long positions or open short positions.
Remarks
Feedbacks are appreciated.
Multi-Timeframe Squeeze Pro/DIM/Momentum/MAIMPORTANT NOTE:
-> The table will not display any timeframes lower than the current one
-> This indicator combine multiple popular indicators and give ability to use them on Multiple timeframes (MFT)
-> Indicators used for the MFT are: Squeeze / Momentum / 10X DIM and Stacked MA (or EMA)
-> Give at glance a good way to see the trend all different timeframes
-> If you are using in combination with squeeze pro please use the one from @Beardy_Fred since it matches the colours and condition used
Credits :
-> J. Welles Wilder creating the Directional Movement System (DMS) (1978); and
-> John Carter applying the DMS to create the popular Simpler Trading 10X Bars indicator.
-> @Beardy_Fred creating a first version including MOM and SQZ
-> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows
I have adapted the version from @Beardy_Fred to provide a more complete and customisable indicator while including also the Stacked EMA/MA for further validation
Explanation:
You can learn more about each indicators following those links:
Squeeze Pro:
10X:
Momentum Histogram:
The stacked EMA/MA highlights when the MA/EMA are in order:
Red when they are stacked from the highest to the lowest
Green when they are stacked from the lowest to the highest
Yellow when they are stacked without a clear order
Customisation:
You can customise:
Timeframes
Settings for each indicators (10X/MA/Momentum/Squeeze)
Colors
Visibility
Trade Signals:
If you are going Long, Since this is a combination ideally on the timeframe you are trading you should have all green + green on the above timeframes (those colors are the default ones but can be changed)
-> Green on 10X indicator meaning you are in an uptrend
-> EMA or MA (depending on the configuration of the indicator) Green meaning EMA or MA
-> Squeeze should be Orange or Red ideally (indicating an high or medium Squeeze)
-> Momentum should be Cyan indicating an increase in momentum (while Dark Blue could indicate a reversal)
Standalone indicators:
- Squeeze Pro
- 10X Bar
- Stacked MA
- Momentum
Reverse Stochastic Momentum Index On ChartIntroducing the Reverse Stochastic Momentum Index "On Chart" version
According to Investopedia :
“The Stochastic Momentum Index (SMI) is a more refined version of the stochastic oscillator, employing a wider range of values and having a higher sensitivity to closing prices.”
The SMI is considered a refinement of the stochastic oscillator developed by William Blau and introduced in 1993 in an attempt to provide a more reliable indicator, less subject to false swings.
It calculates the distance of the current closing price as it relates to the median of the high/low range of price.
The SMI has a normal range of values between +100 and -100.
When the present closing price is higher than the median, or midpoint value of the high/low range, the resulting value is positive.
When the current closing price is lower than that of the midpoint of the high/low range, the SMI has a negative value.
Here I have reverse engineered the SMI formula to derive 2 functions.
One function calculates the chart price at which the SMI will reach a particular SMI scale value.
The second function calculates the chart price at which the SMI will crossover its signal line.
I have employed those functions here to give the "crossover" price levels for :
Upper alert level ( default 40, color : aqua blue )
Mid-Line ( default value 0, color : white )
Lower alert level ( default -40, color : purple )
Signal line ( default 13, colors : bright red & lime green )
And also to give the SMI eq price ( colors : red & green )
The midline, upper and lower alert levels return the closing price which would make SMI equal to their respective values
The user can infer from this that.....
Closing above these prices will cause the Stochastic Momentum Index to cross above the associated levels
Closing below these prices will cause the Stochastic Momentum Index to cross below the associated levels
Signal line returns the closing price where Stochastic Momentum Index is equal to its signal line
The user can infer from this that.....
Closing above this price will cause the Stochastic Momentum Index to cross above the signal line
Closing below this price will cause the Stochastic Momentum Index to cross below the signal line
SMI eq price returns the closing price which would make the SMI equal to its previous value
The user can infer from this that.....
Closing above this price will cause the Stochastic Momentum Index to increase
Closing below this price will cause the Stochastic Momentum Index to decrease
Note : all returned prices have a returned value filter to replace any values below zero with zero to help prevent auto focus issues.
These levels are displayed as plotted lines on the chart and also as an optional infobox with choice of displayed info.
This allows the user to see directly on the chart the interplay between the various crossover levels and price action and to precisely plan entries, exits and stops for their SMI based trades.
Traditionally traders and analysts will consider:
Positives values above 40 indicate a bullish trend
Negative values below -40 indicate a bearish trend .
Common traditional ways to derive signals from the SMI :
When the SMI crosses below -40 and then moves back above it, a buy signal is generated.
When the SMI crosses above +40 and then moves back below it, a sell signal is generated.
When the SMI line crosses above the signal line. A signal to buy is generated
When the SMI line crosses below the signal line signal to sell is generated.
When the SMI crosses above the zeroline, signal line and the SMI eq level many interpret that as a full bullish bias signal and take trades only in that direction, vice versa for bearish bias.
Traders also look for divergences between the SMI and price action.
The SMI is often used in conjunction with the Chande Momentum Oscillator or R squared indicator to determine overall market trendiness where the SMI is used to determine the direction of the trend, and also with volume indicators to show if the momentum carries significant selling or buying pressure.
CT Reverse Chande Momentum OscillatorIntroducing the Caretakers Reverse Chande Momentum Oscillator.
The Chande momentum oscillator is a technical momentum indicator which calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
It is used to gauge “pure momentum”.
It bears similarities to other momentum indicators such as the Stochastic, Rate of Change and the Relative Strength Index, but other unique features render it a handy tool in the traders handset.
The CMO was developed by Tushar Chande.
The author introduced the indicator in his 1994 book “The New Technical Trader “.
The CMO has a normal range of values between +100 and -100.
I have reverse engineered the CMO formula to derive a dual purpose function.
The function can calculate the chart price at which the CMO will reach a particular CMO scale value.
The function can also calculate the chart price at which the CMO will equal its previous value.
I have employed this function here to give the price level where the CMO will equal :
Upper alert level ( default 50 )
Zero-Line
Lower alert level ( default -50 )
Previous CMO value
These crossover levels are displayed via an optional infobox with choice of user selected info.
The advantage of knowing the exact prices that this will happen should give the user an additional edge and precision in risk management.
Traditionally traders and analysts will consider:
Positives values above 50 indicate an “overbought” condition
Negative values below -50 indicate an “oversold” condition
Common traditional ways to derive signals from the CMO :
When the CMO crosses above the zeroline, a buy signal is generated.
When the CMO crosses below the zeroline, a sell signal is generated.
When the SMI crosses below -50 and then moves back above it, a buy signal is generated.
When the SMI crosses above +50 and then moves back below it, a sell signal is generated.
Traditionally, traders also look for divergences between the CMO and price action.
Chande Momentum oscillating in a narrower band around the zero line, with no penetration of the Overbought and Oversold levels indicates a ranging market.
This should not be confused with Chande Momentum oscillating between either the Overbought and the zero line, or the Oversold level and the zero line, which indicates a strong up, or down-trend.
It is traditionally considered that the strongest trend signals are from failed swing patterns.
It measures momentum on both up and down days and does not smooth results, triggering more frequent oversold and overbought penetrations.
The CMO is often used to determine overall market trendiness in conjunction with the SMI where the SMI is used to determine the direction of the trend, and also with volume indicators to show if the momentum carries significant selling or buying pressure.
Price Action and 3 EMAs Momentum plus Sessions FilterThis indicator plots on the chart the parameters and signals of the Price Action and 3 EMAs Momentum plus Sessions Filter Algorithmic Strategy. The strategy trades based on time-series (absolute) and relative momentum of price close, highs, lows and 3 EMAs.
I am still learning PS and therefore I have only been able to write the indicator up to the Signal generation. I plan to expand the indicator to Entry Signals as well as the full Strategy.
The strategy works best on EURUSD in the 15 minutes TF during London and New York sessions with 1 to 1 TP and SL of 30 pips with lots resulting in 3% risk of the account per trade. I have already written the full strategy in another language and platform and back tested it for ten years and it was profitable for 7 of the 10 years with average profit of 15% p.a which can be easily increased by increasing risk per trade. I have been trading it live in that platform for over two years and it is profitable.
Contributions from experienced PS coders in completing the Indicator as well as writing the Strategy and back testing it on Trading View will be appreciated.
STRATEGY AND INDICATOR PARAMETERS
Three periods of 12, 48 and 96 in the 15 min TF which are equivalent to 3, 12 and 24 hours i.e (15 min * period / 60 min) are the foundational inputs for all the parameters of the PA & 3 EMAs Momentum + SF Algo Strategy and its Indicator.
3 EMAs momentum parameters and conditions
• FastEMA = ema of 12 periods
• MedEMA = ema of 48 periods
• SlowEMA = ema of 96 periods
• All the EMAs analyse price close for up to 96 (15 min periods) equivalent to 24 hours
• There’s Upward EMA momentum if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA
• There’s Downward EMA momentum if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA
PA momentum parameters and conditions
• HH = Highest High of 48 periods from 1st closed bar before current bar
• LL = Lowest Low of 48 periods from 1st closed bar from current bar
• Previous HH = Highest High of 84 periods from 12th closed bar before current bar
• Previous LL = Lowest Low of 84 periods from 12th closed bar before current bar
• All the HH & LL and prevHH & prevLL are within the 96 periods from the 1st closed bar before current bar and therefore indicative of momentum during the past 24 hours
• There’s Upward PA momentum if price close > HH and HH > prevHH and LL > prevLL
• There’s Downward PA momentum if price close < LL and LL < prevLL and HH < prevHH
Signal conditions and Status (BuySignal, SellSignal or Neutral)
• The strategy generates Buy or Sell Signals if both 3 EMAs and PA momentum conditions are met for each direction and these occur during the London and New York sessions
• BuySignal if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA and price close > HH and HH > prevHH and LL > prevLL and timeinrange (LDN&NY) else Neutral
• SellSignal if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA and price close < LL and LL < prevLL and HH < prevHH and timeinrange (LDN&NY) else Neutral
Entry conditions and Status (EnterBuy, EnterSell or Neutral)(NOT CODED YET)
• ENTRY IS NOT AT THE SIGNAL BAR but at the current bar tick price retracement to FastEMA after the signal
• EnterBuy if current bar tick price <= FastEMA and current bar tick price > prevHH at the time of the Buy Signal
• EnterSell if current bar tick price >= FastEMA and current bar tick price > prevLL at the time of the Sell Signal
Linear Momentum and Performance IndicatorsThis a porting to Trading View of the 12 new indicators introduced in IFTA Journal (January Edition) by Akram El Sherbini, MFTA, CFTe, CETA.
Indicators are available in "Linear Momentum and Performance Indicators" at page four.
IFTA Journal is available below:
ifta.org
Indicators implemented herein:
Linear Force Index: The linear force index LFI measures the force of buyers and sellers during rallies and declines, respectively. It combines two important pieces of market information—the price acceleration
and volumes.
Pressure Index: The pressure index PRI measures the buying and selling pressure over a certain range within a time interval by moving around its zero line. The index indicates a rise in buying pressure when it crosses above the zero line and a rise in selling pressure
when it crosses below the zero line level. The buying and selling force moves the last price during the session to form a range with low and high boundaries.
Strength Index Index: The strength index SI is a leading indicator to the pressure index. It measures the ability of buyers to resist sellers and vice versa. SI of today is the ratio of the latest pressure index value to the strain of today.
Power Index: It measures the buying and selling power within a time interval by moving around its zero line.
Intensity Index: The intensity index II measures the buying and selling intensity within a time interval by moving around its zero line.
Dynamic Strength Index: The sole purpose of the dynamic strength index DSI and the integral dynamic strength index IDSI is to lead their intensity indicator peers.
Integral Force Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
The following example shows a trade following the signal while several indicators are crossing the zero line:
Integral performance indicators have a fewer number of trades than the performance indicators. This result is normal, as the integral indicators are less sensitive than their peers. Moreover, the power, intensity, and dynamic strength are less sensitive than the force, pressure, and strength indicators. The same applies for their integrals. Therefore, the integrals of power, intensity, and dynamic strength indicators are more inclined to be medium-term indicators.
As the paper is suggesting "the linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Technical indicators are using biased mathematical implementations. For example Momentum Index is in reality a velocity indicator, Force index a Momentum indicator and so on. From a Physical perspective correct momentum, force, velocity etc. needs to be corrected and re-categorized.
The author also gives important insights in how these indicators can be used "simultaneously to identify price turning points and filter irrelevant divergences."
"This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder, respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Suggestions and feedbacks are welcome
Hope you enjoy this,
CryptoStatistical
Linear Momentum and Performance Indicators (IFTA Jan 2019)This a porting to Trading View of the 12 new indicators introduced in IFTA Journal (January Edition) by Akram El Sherbini, MFTA, CFTe, CETA.
Indicators are available in "Linear Momentum and Performance Indicators" at page four.
IFTA Journal is available below:
ifta.org
Indicators implemented herein:
Linear Force Index: The linear force index LFI measures the force of buyers and sellers during rallies and declines, respectively. It combines two important pieces of market information—the price acceleration
and volumes.
Pressure Index: The pressure index PRI measures the buying and selling pressure over a certain range within a time interval by moving around its zero line. The index indicates a rise in buying pressure when it crosses above the zero line and a rise in selling pressure
when it crosses below the zero line level. The buying and selling force moves the last price during the session to form a range with low and high boundaries.
Strength Index Index : The strength index SI is a leading indicator to the pressure index. It measures the ability of buyers to resist sellers and vice versa. SI of today is the ratio of the latest pressure index value to the strain of today.
Power Index : It measures the buying and selling power within a time interval by moving around its zero line.
Intensity Index : The intensity index II measures the buying and selling intensity within a time interval by moving around its zero line.
Dynamic Strength Index : The sole purpose of the dynamic strength index DSI and the integral dynamic strength index IDSI is to lead their intensity indicator peers.
Integral Force Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
The following example shows a trade following the signal while several indicators are crossing the zero line:
Integral performance indicators have a fewer number of trades than the performance indicators. This result is normal, as the integral indicators are less sensitive than their peers. Moreover, the power, intensity, and dynamic strength are less sensitive than the force, pressure, and strength indicators. The same applies for their integrals. Therefore, the integrals of power, intensity, and dynamic strength indicators are more inclined to be medium-term indicators.
As the paper is suggesting "the linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Technical indicators are using biased mathematical implementations. For example Momentum Index is in reality a velocity indicator, Force index a Momentum indicator and so on. From a Physical perspective correct momentum, force, velocity etc. needs to be corrected and re-categorized.
The author also gives important insights in how these indicators can be used "simultaneously to identify price turning points and filter irrelevant divergences."
"This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder, respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Suggestions and feedback are welcome
Hope you enjoy this,
CryptoStatistical
Seasonal Momentum Indicator This is basically a 5-period seasonal average with an applied momentum (10 ) applied. This is plotted and compared to the current momentum (10). The current momentum is in red while the seasonal momentum is in blue.
You can see that whenever the seasonal momentum and the current momentum are in the same direction, the probability of the trend continuing is higher. Also whenever there is a divergence in the two; the red line (current momentum) will often catch up to the blue (seasonal momentum).
Another use of this indicator is as a divergence detector. If you turn off the red line, you will have only the blue line plotted on the graph. Take this and apply lines to see if the momentum diverges from the price (see example).
I hope you enjoy this one. It only works for securities which have a five year record. You can use it on different time frames but the annual is probably the best and most useful.
Happy Trading
--SpreadEagle71
CMO (Chande Momentum Oscillator)Hi
Let me introduce my CMO (Chande Momentum Oscillator) script.
This indicator plots Chandre Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
Quad Rotation StochasticQuad Rotation Stochastic
The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators.
Why this indicator is useful:
Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals.
Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early.
Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues.
ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups.
Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities.
Why this indicator is unique:
Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic.
Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association.
Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs.
Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset.
Example Usage: Trading Bitcoin with Quad Rotation Stochastic
When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color.
If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade.
Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs.
By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Renko Momentum Wave (RMW)Renko Momentum Wave
The Renko Momentum Wave (RMW) is a custom momentum oscillator specifically designed for Renko-based price action analysis. Unlike traditional oscillators that rely on time-based data, the RMW focuses on the directional consistency of Renko bricks, measuring the strength of trend momentum purely based on price movement.
Long Short Momentum with Signals
Long and Short momentum
WHEN SHORT MOMENTUM CHANGES 2.0 POINTS and long term changes 5 points on day basis write A for Bullish and B for Bearish on Main Price chart
WHEN SHORT MOMENTUM CHANGES .30 per hour POINTS and long term changes 1 points on 1 hour basis. Put a green dot for Bull and red for bear in short term and for long termRespectively on price chart
Ehlers Reverse EMAOverview
The Ehlers Reverse EMA is an advanced momentum indicator designed by John Ehlers and implemented here with additional features for improved trading decision-making. This indicator helps identify trend direction, potential reversals, and generates precise buy/sell signals based on multiple confirmation methods.
What Makes It Unique
Unlike conventional EMAs, the Ehlers Reverse EMA uses a sophisticated reverse-engineering approach to provide smoother, more responsive signals with reduced lag. The indicator combines a proprietary EMA calculation with optional moving average confirmation to filter out market noise and highlight meaningful price movements.
Features
Dynamic Color Coding: Green when momentum is positive, red when negative
Moving Average Overlay: Optional MA with selectable types (SMA, EMA, WMA, VWMA)
Multiple Signal Generation Methods:
Zero-Line Crossovers: Signals when momentum shifts from positive to negative or vice versa
MA Crossovers: Signals when the Ehlers EMA crosses its own moving average
Combined Confirmation: Requires both zero-line and MA crossovers for highest probability signals
On-Chart Signal Visualization: Clear buy/sell arrows directly on the price chart
Customizable Parameters: Adjust alpha value, MA type, and signal generation to suit your trading style
How To Use
Add the main "Ehlers Reverse EMA" indicator to your chart
Add the companion "EREMA Signals" indicator to display buy/sell signals on the price chart
Ensure both indicators have matching settings for consistency
Signal Interpretation
Buy Signals (Green Triangles): Appear below price bars when conditions are met
Sell Signals (Red Triangles): Appear above price bars when conditions are met
Recommended Timeframes
Works well on all timeframes from 5-minute to daily charts. For swing trading, 4H or daily timeframes often provide the most reliable signals.
Strategy Applications
Trend Following: Use zero-line crossovers to enter with the trend
Momentum Trading: Use MA crossovers for entry and exit points
Confirmation Tool: Combine with price action or other indicators for higher-probability trades
Divergence Analysis: Compare indicator movement with price action to spot potential reversals
Parameter Settings
Alpha (Default: 0.1): Lower values create smoother lines but more lag; higher values increase responsiveness but may increase false signals
MA Length (Default: 14): Adjust based on your trading timeframe and style
This versatile indicator helps identify high-probability trading opportunities while filtering out market noise, making it valuable for both novice and experienced traders alike.
Multi-timeframe Trend & Momentum DashboardMulti-Timeframe Trend & Momentum Dashboard
This indicator is a comprehensive multi-timeframe analysis tool designed for traders who want to quickly assess market trends and momentum across several timeframes. It combines trend detection with duration tracking and displays key information in an easy-to-read on-chart table. Key features include:
Multi-Timeframe Analysis:
Analyzes nine different timeframes (from 1-minute up to 1-week) simultaneously, helping you gauge the overall market trend at a glance.
Trend Detection & Duration:
Uses a combination of a short-term EMA and a long-term SMA to determine whether the market is bullish, bearish, or neutral. It also tracks how long the current trend has persisted in terms of consecutive bars and displays this duration next to each timeframe.
RSI Display & Visual Alerts:
Calculates the RSI for each timeframe. RSI values are color-coded—green when above 50 (indicating bullish momentum) and red when below 50 (indicating bearish conditions). Additionally, if the market is bearish on a particular timeframe while the RSI is above 50, the RSI cell flashes yellow to alert you of a potential trend reversal or divergence.
On-Chart Trend Start Markers:
When a new trend is detected on your current chart’s timeframe, the indicator automatically marks the bar with a label showing the new trend direction, providing a clear visual cue for trend changes.
This powerful tool is perfect for traders looking to combine multi-timeframe trend analysis with momentum indicators, enabling a more informed and dynamic trading strategy. Whether you’re a day trader or swing trader, the Multi-Timeframe Trend & Momentum Dashboard brings clarity to market conditions across multiple time horizons.
Aggregated Spot vs Perp Volume (% Change)Aggregated Spot vs Perp Volume (% Change)
Description
The "Aggregated Spot vs Perp Volume (% Change)" indicator helps crypto traders compare the momentum of spot and perpetual futures (perp) trading volumes across 12 major exchanges. It calculates the percentage change in volume from one bar to the next, highlighting divergences and showing which market—spot or perp—is leading a move. By focusing on relative changes, it eliminates the issue of absolute volume differences, making trends clear.
The indicator aggregates data from Binance, Bybit, OKX, Coinbase, Bitget, MEXC, Phemex, BingX, WhiteBIT, BitMEX, Kraken, and HTX. Users can toggle exchanges and choose to measure volume in coin units (e.g., BTC) or USD.
How It Works
Volume Aggregation:
Fetches spot and perp volume data for the selected crypto (e.g., BTC) from up to 12 exchanges.
Spot volume is included only if perp volume is available for the same pair, ensuring consistency.
Volume can be measured in coin units or USD (volume × spot price).
Percentage Change:
Calculates the percentage change in spot and perp volumes from the previous bar:
Percentage Change = ((Current Volume − Previous Volume) / Previous Volume) ×100
This focuses on relative momentum, making spot and perp volumes directly comparable.
Visualization:
Spot volume % change is plotted as a blue line, and perp volume % change as a red line, both with a linewidth of 1.
Who Should Use It
Crypto Traders: To understand spot vs. perp market dynamics across exchanges.
Momentum Traders: To spot which market is driving price moves via volume divergences.
Scalpers/Day Traders: For identifying short-term shifts in market activity.
Analysts: To study liquidity and sentiment in crypto markets.
How to Use It
Blue line: Spot volume % change.
Red line: Perp volume % change.
Look for divergences (e.g., a sharp rise in the red line but not the blue line suggests perp markets are leading).
Combine with Price:
Use alongside price charts to confirm trends or spot potential reversals.
Context
Spot markets reflect actual asset trading, while perp markets, with leverage, attract speculative activity and often show higher volumes. This indicator uses percentage change to compare their momentum, helping traders identify market leadership and divergences. For example, a 50% increase in both spot and perp volumes plots at the same level, making it easy to see relative shifts across exchanges.
Multi-Timeframe Stochastic RSI ArrowsMulti-Timeframe Stochastic RSI Arrows Indicator by The Venetian
Dear Moderators before you torch me alive theres nothing groundbreaking just very handy indicator for some users.
This indicator provides traders with a jet fighter-style heads-up display for market momentum across multiple timeframes. By displaying Stochastic RSI directional arrows for 12 different timeframes simultaneously, it offers a comprehensive view of market conditions without requiring multiple chart windows.
How It Works
The indicator calculates the Stochastic RSI for each of 12 common timeframes (1m to 3M) and represents directional movements with intuitive arrows:
- ▲ Green up arrow = Rising momentum
- ▼ Red down arrow = Falling momentum
- ◄► Yellow horizontal arrows = Flat/sideways momentum
- ► Gray right arrow = Just peaked (crossed above overbought)
- ◄ Gray left arrow = Just bottomed (crossed below oversold)
Each timeframe's status appears with its label (e.g., "1m ▲") in a clean, vertically-stacked display using ATR-based spacing to maintain consistent visual appearance regardless of price scale.
Key Features
- ATR-Based Spacing : Uses Average True Range to maintain consistent distances between labels even as chart scale changes
- Multi-Timeframe Analysis: Easily spot divergences and confluences across timeframes (1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, 1D, 1W, 1M, 3M)
- Sensitivity Control: Adjust flat detection sensitivity to filter out noise
- Customisable Appearance: Modify arrow size, vertical spacing, and show/hide timeframe labels
- Overbought/Oversold Detection: Highlights when momentum has peaked or bottomed at extreme levels
- Trading Applications
- Trend Alignment: Quickly identify when multiple timeframes align in the same direction
- Divergence Detection: Spot when shorter timeframes begin to shift against longer ones
- Entry/Exit Timing: Use crossovers of significant timeframes as potential signals
- Market Context: Maintain awareness of the bigger picture while trading shorter timeframes
This indicator doesn't break new ground technically but excels in presenting complex multi-timeframe information in a clean, actionable format — much like a pilot's heads-up display provides critical information at a glance. The ATR-based positioning ensures consistent visibility across different instruments and market conditions.
Great effort has been made for this script to adhere to TradingView's Pine Script house rules and focuses on trader usability rather than introducing novel technical concepts.
