MMI (Multi.Index.Indicator)Multi-Index Momentum Indicator (MMI)
The Multi-Index Momentum Indicator (MMI) is a custom TradingView Pine Script indicator designed to calculate and display the momentum difference between the base and quote indexes of various currency pairs. This indicator helps traders identify the relative strength or weakness of a currency pair by comparing the momentum of its base and quote indexes.
Features:
Currency Pair Detection: The indicator automatically detects the currency pair of the current chart and selects the appropriate base and quote indexes for that pair.
Index Data Retrieval: It fetches the closing prices of the base and quote indexes for the specified timeframe.
Momentum Calculation:
The indicator calculates the 14-period momentum for both the base and quote indexes and then computes the momentum difference.
Visual Representation: The momentum difference is plotted on the chart as a colored line. If the momentum difference is positive, the line is green; if negative, the line is red.
Data Availability Check:
The script checks if the index data is available. If any index data is missing, the script displays a red label on the chart indicating which index data is missing.
Zero Line: A horizontal line at the zero level is plotted for reference.
Supported Currency Pairs and Their Indexes:
USDJPY: Base Index - DXY, Quote Index - JPYX
EURUSD: Base Index - EXY, Quote Index - DXY
GBPUSD: Base Index - BXY, Quote Index - DXY
AUDUSD: Base Index - AXY, Quote Index - DXY
USDCHF: Base Index - DXY, Quote Index - SXY
USDCAD: Base Index - DXY, Quote Index - CXY
GBPJPY: Base Index - BXY, Quote Index - JPYX
Pesquisar nos scripts por "momentum"
GKD-C Composite Index [Loxx]The Giga Kaleidoscope GKD-C Composite Index is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System."
█ GKD-C Composite Index
The Composite Index is a sophisticated technical analysis tool that enhances the traditional Relative Strength Index (RSI) by incorporating momentum and multiple time frame analysis. It calculates two versions of the RSI, one at a slower period and another at a faster period, to capture both long-term trends and short-term market fluctuations. The innovation comes from introducing a momentum factor, RSIDelta, which is the difference between the slow RSI and its value a specified number of periods ago, highlighting the rate of change in market sentiment. Simultaneously, the fast RSI is smoothed with a simple moving average (SMA) over a designated period (RSIsma), blending immediate price movements with ongoing trends. The Composite Index then combines these elements (RSIDelta and RSIsma), creating a singular metric that embodies both momentum and the smoothed trend. This index is further refined by averaging it over two additional periods, offering a multifaceted view that assists in identifying overbought or oversold conditions with enhanced sensitivity to market dynamics. This method aims to provide traders with a deeper understanding of market forces, potentially leading to more informed trading decisions by capturing nuances missed by the standard RSI.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
8. Metamorphosis - a technical indicator that produces a compound signal from the combination of other GKD indicators*
*(not part of the NNFX algorithm)
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, and the Average Directional Index (ADX).
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
What is an Metamorphosis indicator?
The concept of a metamorphosis indicator involves the integration of two or more GKD indicators to generate a compound signal. This is achieved by evaluating the accuracy of each indicator and selecting the signal from the indicator with the highest accuracy. As an illustration, let's consider a scenario where we calculate the accuracy of 10 indicators and choose the signal from the indicator that demonstrates the highest accuracy.
The resulting output from the metamorphosis indicator can then be utilized in a GKD-BT backtest by occupying a slot that aligns with the purpose of the metamorphosis indicator. The slot can be a GKD-B, GKD-C, or GKD-E slot, depending on the specific requirements and objectives of the indicator. This allows for seamless integration and utilization of the compound signal within the GKD-BT framework.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v2.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
6. GKD-M - Metamorphosis module (Metamorphosis, Number 8 in the NNFX algorithm, but not part of the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data to A backtest module wherein the various components of the GKD system are combined to create a trading signal.
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Multi-Ticker CC Backtest
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Advance Trend Pressure as shown on the chart above
Confirmation 2: uf2018
Continuation: Coppock Curve
Exit: Rex Oscillator
Metamorphosis: Baseline Optimizer
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, GKD-M, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD system.
█ Giga Kaleidoscope Modularized Trading System Signals
Standard Entry
1. GKD-C Confirmation gives signal
2. Baseline agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
1-Candle Standard Entry
1a. GKD-C Confirmation gives signal
2a. Baseline agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Volatility/Volume agrees
7. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
1-Candle Baseline Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSBC Bars Back' prior
Next Candle
1b. Price retraced
2b. Baseline agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Volatility/Volume Entry
1. GKD-V Volatility/Volume gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Confirmation 2 agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Volatility/Volume Entry
1a. GKD-V Volatility/Volume gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSVVC Bars Back' prior
Next Candle
1b. Price retraced
2b. Volatility/Volume agrees
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Baseline agrees
Confirmation 2 Entry
1. GKD-C Confirmation 2 gives signal
2. Confirmation 1 agrees
3. Price inside Goldie Locks Zone Minimum
4. Price inside Goldie Locks Zone Maximum
5. Volatility/Volume agrees
6. Baseline agrees
7. Confirmation 1 signal was less than 7 candles prior
1-Candle Confirmation 2 Entry
1a. GKD-C Confirmation 2 gives signal
2a. Confirmation 1 agrees
3a. Price inside Goldie Locks Zone Minimum
4a. Price inside Goldie Locks Zone Maximum
5a. Confirmation 1 signal was less than 'Maximum Allowable PSC2C Bars Back' prior
Next Candle
1b. Price retraced
2b. Confirmation 2 agrees
3b. Confirmation 1 agrees
4b. Volatility/Volume agrees
5b. Baseline agrees
PullBack Entry
1a. GKD-B Baseline gives signal
2a. Confirmation 1 agrees
3a. Price is beyond 1.0x Volatility of Baseline
Next Candle
1b. Price inside Goldie Locks Zone Minimum
2b. Price inside Goldie Locks Zone Maximum
3b. Confirmation 1 agrees
4b. Confirmation 2 agrees
5b. Volatility/Volume agrees
Continuation Entry
1. Standard Entry, 1-Candle Standard Entry, Baseline Entry, 1-Candle Baseline Entry, Volatility/Volume Entry, 1-Candle Volatility/Volume Entry, Confirmation 2 Entry, 1-Candle Confirmation 2 Entry, or Pullback entry triggered previously
2. Baseline hasn't crossed since entry signal trigger
4. Confirmation 1 agrees
5. Baseline agrees
6. Confirmation 2 agrees
Wave Pendulum Trend [QuantraSystems]Wave Pendulum Trend
Introduction
The Wave Pendulum Trend (𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭) extrapolates market trends using physical principles derived from waves and pendulums. This indicator is a bespoke build, and its performance and behavior cannot be compared to existing indicators.
It is designed for trend following but is also effective for identifying mean reversions, momentum strength, and shows range-bound market periods within the dynamic bands.
In order to ascertain a smooth yet rapid trend direction of the market, the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 combines several factors. A bespoke set of functions captures the momentum of price movements and dynamically weighs it over time. The indicator then extrapolates acceleration from the change in delta of price movements.
Legend
With bar coloring enabled, the price section mirrors current trend conditions. Please keep this feature disabled if you intend to use multiple indicators to avoid confusion.
The 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 presents extensive market insights. The purple and green bands around the oscillator signal the selected standard deviation (default σ = 2), for the trader to calculate how common the trending movements are in relation to the selected asset’s history.
The inner, dynamic thresholds, indicated by the blue “Range-bound market” label in the graphic above, border the area that signals a ranging market if both 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 signals remain inside. If either line exceeds these thresholds, care is advised as a shift in market behavior is underway.
“Trend strength” in the graphic provides a good estimate for the trending movements strength.
If the signal lines exceed the set standard deviation in non-classic mode, a reversal is very likely.
Case Study
As shown in the above case study we see two profitable swing trades on the 4H chart of Ethereum. Please note the display variant here is set to “Heikin-Ashi”.
We always recommend using a multitude of indicators to attain multiple signals on the likelihood of opening the correct position. However, this standalone scenario serves as an example on how the 𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭 added two profitable swing trades.
The first short trade was opened after the 𝓐𝓬𝓬𝓮𝓵𝓮𝓻𝓪𝓽𝓲𝓸𝓷 and 𝓜𝓸𝓶𝓮𝓷𝓽𝓾𝓶 reversed after crossing the threshold of standard deviation. This trade offered a late entry only, these two factors were followed late by the third signal in this case – the trend reversal. Such a trade would require additional indicators to signal at the same time, so the trader can get more confirmations. The trade was closed after 6D with an 8% gain on a 1x short position.
The second trade is a long position that enters in the same manner. The trader takes the reversal beyond the select standard deviation as a likely entry. After 7D a triple confirmation was received, as indicated by the triangle, that a reversal or at least a plateau is extremely likely. The trade was closed after 7D with a 17.23% gain on a 1x long position.
Recommended Settings
Trend Following / Investing (1D chart)
Please use the default settings!
Swing Trading (4H chart)
Wave MA - Type: TEMA
Wave MA – Length: 30
Display Variant: Heikin-Ashi
Bar Coloring: Off
Choose Mode for Coloring: Signal
Notes
Quantra Standard Value Contents:
The Heikin-Ashi (HA) candle visualization smoothes out the signal line to provide more informative insights into momentum and trends. This allows earlier entries and exits by observing the indicator values transformed by the HA.
Various visualization options are available to adjust the indicator to the user’s preference: Aside from HA, a classic line, or a hybrid of both.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
To add to Quantra's indicators’ utility we have added the option to change the price bars colors based on different signals:
Settings: TEMA and DEMA length settings should be longer compared to other Moving Averages (MAs). Due to its complex calculations, the indicator requires a larger amount of historical data for accurate computation.
Sensitivity to Divergences: The Wave Pendulum Trend is particularly sensitive to divergences, making it a useful tool in spotting potential trend reversals or continuations.
Trend Following and Reversions: While it is primarily used for trend following, it also excels in identifying market reversions.
Momentum and Acceleration: The interaction between momentum and acceleration is a key feature of this indicator.
Visualization: The indicator offers various visualization options, including bar coloring based on HA Candles and extremes and trends. It also introduces a novel approach to visualizing the oscillator in the "Classic" mode and provides an adjustable Standard Deviation (SD) measure for reversal signals in non-classic modes.
Choose Mode for Coloring
Trend Following (Indicator above mid line counts as uptrend, below is downtrend)
Extremes (Everything beyond the SD bands is highlighted to signal mean reversion)
Candles (Color of HA candles as barcolor)
Reversions (Only for HA) (Reversion Signals via the triangles if HA candles change trend while beyond the SD bands, high probability entries/exits)
Methodology
The methodology behind the Wave Pendulum Trend is inspired by wave and pendulum theories to extrapolate market moves. By calculating the momentum and its acceleration from price data, it provides a nuanced view of the market trend.
Traders should observe the color coding, which reflects the interplay between momentum, acceleration, and set thresholds for acceleration. The Signal Mode is particularly useful for quickly identifying trend, momentum, and acceleration exhaustions.
Additionally, the indicator can help filter out ranges with insufficient momentum acceleration. Traders are encouraged to experiment with this mode and adjust the threshold settings to suit their strategies.
Momentum Reversal [AngelAlgo]The Momentum Reversal Indicator is a technical analysis tool used to identify potential reversals and trends in financial markets. It does this by comparing the momentum of a market to its trend. The momentum is calculated by measuring the change in price over a specified time interval set by the "Period" input. The trend is then determined as the simple moving average of the momentum, with the length of the moving average determined by the "Trend length" input. When the momentum deviates significantly from the trend, it is considered a potential reversal signal. The user can choose to receive signals based on either "Contrarian" or "Trend" signals type, and also has the option to smooth the signals using the Hull Moving Average. The indicator is plotted as a histogram with trading signals indicated by triangle shapes (up for buys, down for sells). The histogram is also accompanied by a smoothed line representation of the indicator and dynamic threshold levels.
The color of the histogram bars is green if the momentum is positive, red if it's negative. The histogram can be smoothed using the Hull Moving Average (HMA) if the "Smoothed signals" input is set to true.
The indicator also plots the threshold levels, which are dynamically calculated as the simple moving average (SMA) of the absolute value of the histogram. The threshold levels are plotted as circles on the chart.
The signals are plotted as arrows on the chart, either triangle-up for buy signals, or triangle-down for sell signals. If "Contrarian" signals are selected, a triangle-up will appear when the histogram crosses below the lower threshold, and a triangle-down will appear when it crosses above the upper threshold. If "Trend" signals are selected, a triangle-up will appear when the histogram crosses above the upper threshold, and a triangle-down will appear when it crosses below the lower threshold. Trend signals work for trending markets, Contrarian signals are good for ranging markets.
SETTINGS
Period: This input allows you to set the period for the momentum calculation. The default value is 14.
Trend length: This input allows you to set the length of the trend-following moving average. The default value is 50.
Signals type : This input allows you to choose the type of signals you want to receive. You can choose between "Contrarian" and "Trend" signals. The default value is "Contrarian".
Smoothed signals: This input allows you to choose between the raw or smoothed signals. If set to true, the signals will be based on the smoothed histogram line, otherwise, they will be based on the raw histogram. The default value is true.
Momentum imbalance (internal liquidity) by CUWe have developed a sophisticated indicator to detect momentum, imbalance, and internal liquidity within financial markets. Designed to leverage real-time data analysis, this tool aims to assist traders in making more informed decisions.
The momentum component of the indicator calculates the rate at which prices move. By measuring price changes over a specific period, the indicator can show whether an asset is likely to continue rising or falling. This helps traders identify when a trend is gaining strength or beginning to wane.
Market imbalance is analyzed by observing the disparity in buy and sell orders. Our indicator identifies significant deviations between supply and demand, which can indicate potential turning points or accelerations in market movement. This aspect is crucial for understanding the underlying forces that influence price changes.
Regarding internal liquidity, our indicator measures the market depth and the availability of liquid assets. This component is essential for assessing how easily assets can be bought or sold without significantly impacting the price. High internal liquidity indicates a healthy market where transactions are executed quickly and efficiently, while low liquidity can lead to increased volatility and potential price manipulation.
By integrating these three components, our indicator provides a holistic view of market dynamics, enabling traders to operate more strategically and with greater confidence.
TTM Regression°This oscillator attempts to provide context to John Carter's "TTM Squeeze" indicator.
Similar to my MAR° indicator, statistically significant areas based on the past n candles (Lookback) are calculated to provide context for the y-axis values of the TTM indicator.
Note that Carter's squeeze idea has been dropped in favour of the regression bands, in that they offer a clear visual momentum squeeze condition.
The regression bands identify temporary exhaustion of bullish (purple) and bearish (green) momentum; these could potentially be seen as overbought and oversold indications.
The dotted midlines dictate intra-zones where momentum could reverse to continue the larger trend.
All the latter behave similarly to Support and Resistance zones.
The oscillator can also be normalized over a given interval to show results on a scale between 0 and 100, preserving even more context over time.
You should experiment for yourself to find out what is best for you in terms of scale, and Normalization Period.
Normalization Example: on the left you can observe how the momentum is visualized differently based on the scale, given the rapid momentum to the upside.
// –––. Regular
// –––. Normalized
It's crucial to use this oscillator as confluence only and not to take trades based solely on its indications.
At the moment there are no alerts set for this script, open to suggestions :)
Momentum LineWhat is this?
Momentum line (a blue line at the bottom area) tells you the short term trend movement of price. It will useful when the major trend is not developed-well. This line is not for a single use. We suggest you to use it with our other module: Trend Optimizer module, as shown above the momentum line.
Indicator & Strategies:
Momentum Line is based on moving average convergence divergence (MACD). We don't use the histogram, we don't concern the 2 lines crossing. So we blend the two lines into single lines.
See the charts, see the trend color (trend optimizer module) when it changed from long red color into white. It shows the medium trend changed from strong downtrend into neutral. But since the long term trend (the vertical trend bar below) is still not yet changed into green, the major trend (medium & long term) is still in development process. This is when we need to look at momentum line. If it pointing up, it gives confirmation that the uptrend is developing and you can buy the stocks using trend or swing strategies 9our profit trader module)
Benefit For you:
You can detect an early bottom reversal phase especially when you combine this momentum line script with out trend optimizer script.
Momentum Trader + Trinity LinesThis is an updated version of the 'Momentum Trader' by user ProfitProgrammers + the 'Bollinger Bands %b & RSI & Stochastic Smoothed Indicator & Alert' by the user Zamboniman.
Links to those original scripts are below:
script/7S49kLWh-Bollinger-Bands-b-RSI-Stochastic-Smoothed-Indicator-Alert/
script/OMULR9es-Momentum-Trader/
The only real updates are so that it works on Version 4 of pinescript and some color and visual updates that makes these two scripts work well together. This must be used on normal candles and not HA or any other types or you can get misleading entry / exit points.
Here is some info about this indicator and the moving parts within it:
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD , except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Trinity Lines:
-These 3 colored lines at the top are RSI + normalized Bollinger Band &b + normalized smoothed Stochastic.
-A confirmation entry for a long is when the lines are in the order from top to bottom of Green Yellow Red.
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) Chande Momentum is rising(positive slope). AND
3) Trinity lines are Green, Yellow, Red (Top to bottom)
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) PPO has a negative slope. AND
3) Trinity lines are Red, Yellow, Green (Top to bottom)
Chef BubblesThis is an enhanced version of Momentum indication Ways that shows 2 ways to calculate momentum and display each one along with their combined average value.
Essentially I've matched the momentum from the lower time frames together to determine when we are getting a push, amazing for scalps, I use it for everything.
Alongside this, I also made sure to add the currency's strength pretty much embedded within the momentum indicator , thus giving you the best momentum indication you can get a good entry point majority of the time if used right. I recommend matching this with my moving average crossover pair.
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Momentum TraderThis study combines two versatile momentum indicators :
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD, except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) It has been less than 3 bars since Chande Momentum was less than the lower green line. AND
3) Chande Momentum is rising(positive slope).
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) It has been less than 6 bars since the PPO value was greater than the upper bound. AND
3) PPO is less than 5 (meaning the difference between the two EMA's is less than 5%). AND
4)PPO has a negative slope.
This study comes with alert conditions for long entries and exits.
~Happy Trading~
FxAST RSI Enhanced Plus [ALLDYN]
## 🟩 FxAST RSI Enhanced — Smoothed RSI Momentum with Dynamic Confluence Table
### 🔹 WHAT THIS SCRIPT DOES
This RSI enhancement script builds upon the classic Relative Strength Index by integrating:
* A **dual-layer EMA smoothing system** for RSI, allowing traders to observe fast vs. slow RSI movements
* **Real-time crossover signals** to detect early momentum shifts
* **Buy/Sell label plotting** when smoothed RSI crosses over/under with configurable thresholds
* An **optional smoothing toggle** to switch between swing and intraday trading styles
### 🔹 HOW IT WORKS
* RSI is calculated using a classic `rma` approach
* The script applies two separate EMAs (configurable lengths) to the RSI, serving as fast/slow signal lines
* Buy/Sell signals are generated when:
* The fast EMA crosses above the slow EMA (Buy) and RSI is above 40
* The fast EMA crosses below the slow EMA (Sell) and RSI is below 60
* RSI line, smoothed EMAs, and their fill are plotted for visual confirmation
**Original Feature** *(highlighting IP for protection)*:
A **confluence table** dynamically summarizes:
* The RSI fast/slow values
* The % delta between the smoothed EMAs
* A **directional bias reading** : Bullish, Bearish, or Neutral based on RSI behavior
* All values are color-coded and updated in real time to assist in fast market assessment
This table replaces cluttered on-chart signals with a **clean, structured summary** of RSI state and direction — ideal for both scalpers and swing traders.
### 🔹 HOW TO USE
1. Add the script to your chart (non-overlay).
2. Configure RSI/EMA lengths for your strategy (default: RSI 14, Fast EMA 3, Slow EMA 13).
3. Toggle “Smooth RSI?”:
* `ON` = For swing traders (smoother, slower signals)
* `OFF` = For intraday/momentum scalping (raw signals)
4. Use the **Buy/Sell labels** and **bias table** as confirmation tools, not sole entry triggers.
5. Alerts are available for both Buy and Sell crossover conditions.
### 🔹 WHAT MAKES IT ORIGINAL
While traditional RSI indicators only show the raw line or apply basic levels (30/70), this script offers:
* A **modular RSI smoothing engine** that adapts to swing or intraday preferences
* A **dual-EMA logic structure** for signal reliability
* A **real-time RSI bias assessment table**, designed to visualize RSI-based trend bias and magnitude
* The entire presentation is **decluttered** , avoiding redundant overlays while improving decision-making through the integrated data table
This script does not simply restyle RSI — it **restructures how RSI behavior is interpreted** , offering an objective confluence framework built around RSI’s smoothed motion and delta tracking.
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SB TrendSB Trend Strategy Overview
The SB Trend Strategy is a quantitative, trend-following trading system designed to capture strong momentum moves in the stock market. Its primary objective is to optimize trade entries and exits to maximize profits during clear uptrends while limiting risk during market corrections.
Originally adapted from international momentum-based models, the strategy has been customized for the Vietnamese stock market, taking into account its specific conditions such as liquidity trends, volatility, and regulatory environment.
Core Principles
Trend-Focused Trading: The strategy only takes positions in the direction of confirmed market trends, avoiding trades that go against the prevailing direction.
Breakout-Driven Entries: Buy signals are generated when a stock breaks above a predefined price level, usually recent highs over a set lookback period.
Momentum-Based Exits: Positions are closed when momentum indicators indicate signs of trend weakness or potential reversals.
Selective Stock Universe: Trading is limited to stocks with strong liquidity and trading value to ensure efficient execution in the Vietnamese market context.
RSI Strength & Consolidation Zones (Zeiierman)█ Overview
RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement.
Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities.
█ Its uniqueness
Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation.
This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move.
█ How It Works
⚪ Enhanced RSI
Combines traditional RSI and a custom RSI implementation
Smooths both through a Kalman filter for trend direction
Final RSI line reflects smoothed consensus between manual and built-in RSI
Adds an RSI + Strength overlay to show when the directional conviction is increasing
⚪ ADX-Driven Strength Layer
Directional Movement Index (DMI) is calculated both manually and with built-in smoothing
The average ADX value is used to calculate a strength modifier
When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force
Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions
⚪ Consolidation Zone Detection
When ADX falls below 20, the indicator enters a consolidation zone state
Boxes are drawn dynamically to contain the price within these low-volatility structures
Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼)
⚪ Breakouts
Breakout markers are placed at the first close outside the consolidation box
These signals serve as early indicators for potential trend continuation or reversal
█ How to Use
⚪ Confirm Momentum Strength
Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation.
⚪ Consolidations Zones
When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout.
⚪ Use Breakout Signals for Entry
Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks.
█ Settings Explained
RSI Length – Number of bars used for RSI. Shorter = more sensitive.
DMI Length – Used in both custom and built-in ADX/DI calculations.
ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection.
Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Dskyz Options Flow Flux (OFF) - FuturesDskyz Options Flow Flux (OFF) - Futures
*This is a repost due to moderator intervention on use of ™ in my scripts. I'm in the process of getting this rectified. This was originally posted around mid-night CDT.
🧠 The Dskyz Options Flow Flux (OFF) - Futures indicator is a game changer for futures traders looking to tap into institutional activity with limited resources. Designed for TradingView this tool simulates options flow data (call/put volume and open interest) for futures contracts like MNQ MES NQ and ES giving u actionable insights through volume spike detection volatility adjustments and stunning visuals like aurora flux bands and round number levels. Whether u’re a beginner learning the ropes or a pro hunting for an edge this indicator delivers real time market sentiment and key price levels to boost ur trading game
Key Features
⚡ Simulated Options Flow: Breaks down call/put volume and open interest using market momentum and volatility
📈 Spike Detection: Spots big moves in volume and open interest with customizable thresholds
🧠 Volatility Filter: Adapts to market conditions using ATR for smarter spike detection
✨ Aurora Flux Bands: Glows with market sentiment showing u bullish or bearish vibes at a glance
🎯 Round Number Levels: Marks key psychological levels where big players might step in
📊 Interactive Dashboard: Real time metrics like sentiment score and volatility factor right on ur chart
🚨 Alerts: Get notified of bullish or bearish spikes so u never miss a move
How It Works
🧠 This indicator is built to make complex options flow analysis simple even with the constraints of Pine Script. Here’s the step by step:
Simulated Volume Data (Dynamic Split):
Pulls daily volume for ur chosen futures contract (MNQ1! MES1! NQ1! ES1!)
Splits it into call and put volume based on momentum (ta.mom) and volatility (ATR vs its 20 period average)
Estimates open interest (OI) for calls and puts (1.15x for calls 1.1x for puts)
Formula: callRatio = 0.5 + (momentum / close) * 10 + (volatility - 1) * 0.1 capped between 0.3 and 0.7
Why It Matters: Mimics how big players might split their trades giving u a peek into institutional sentiment
Spike Detection:
Compares current volume/OI to short term (lookbackShort) and long term (lookbackLong) averages
Flags spikes when volume/OI exceeds the average by ur set threshold (spikeThreshold for regular highConfidenceThreshold for strong)
Adjusts for volatility so u’re not fooled by choppy markets
Output: optionsSignal (2 for strong bullish -2 for strong bearish 1 for bullish -1 for bearish 0 for neutral)
Why It Matters: Pinpoints where big money might be stepping in
Volatility Filter:
Uses ATR (10 periods) and its 20 period average to calculate a volatility factor (volFactor = ATR / avgAtr)
Scales spike thresholds based on market conditions (volAdjustedThreshold = spikeThreshold * max(1 volFactor * volFilter))
Why It Matters: Keeps ur signals reliable whether the market is calm or wild
Sentiment Score:
Calculates a call/put ratio (callVolume / putVolume) and adjusts for volatility
Converts it to a 0 to 100 score (higher = bullish lower = bearish)
Formula: sentimentScore = min(max((volAdjustedSentiment - 1) * 50 0) 100)
Why It Matters: Gives u a quick read on market bias
Round Number Detection:
Finds the nearest round number (e.g. 100 for MNQ1! 50 for MES1!)
Checks for volume spikes (volume > 3 period SMA * spikeThreshold) and if price is close (within ATR * atrMultiplier)
Updates the top activity level every 15 minutes when significant activity is detected
Why It Matters: Highlights psychological levels where price often reacts
Visuals and Dashboard:
Combines aurora flux bands glow effects round number lines and a dashboard to make insights pop (see Visual Elements below)
Plots triangles for call/put spikes (green/red for strong lime/orange for regular)
Sets up alerts for key market moves
Why It Matters: Makes complex data easy to read at a glance
Inputs and Customization
⚙️ Beginners can tweak these settings to match their trading style while pros can dig deeper for precision:
Futures Symbol (symbol): Pick ur contract (MNQ1! MES1! NQ1! ES1!). Default: MNQ1!
Short Lookback (lookbackShort): Days for short term averages. Smaller = more sensitive. Range: 1+. Default: 5
Long Lookback (lookbackLong): Days for long term averages. Range: 5+. Default: 10
Spike Threshold (spikeThreshold): How big a spike needs to be (e.g. 1.1 = 10% above average). Range: 1.0+. Default: 1.1
High Confidence Threshold (highConfidenceThreshold): For strong spikes (e.g. 3.0 = 3x average). Range: 2.0+. Default: 3.0
Volatility Filter (volFilter): Adjusts for market volatility (e.g. 1.2 = 20% stricter in volatile markets). Range: 1.0+. Default: 1.2
Aurora Flux Transparency (glowOpacity): Controls band transparency (0 = solid 100 = invisible). Range: 0 to 100. Default: 65
Show Show OFF Dashboard (showDashboard): Toggles the dashboard with key metrics. Default: true
Show Nearest Round Number (showRoundNumbers): Displays round number levels. Default: true
ATR Multiplier for Proximity (atrMultiplier): How close price needs to be to a round number (e.g. 1.5 = within 1.5x ATR). Range: 0.5+. Default: 1.5
Functions and Logic
🧠 Here’s the techy stuff pros will love:
Simulated Volume Data : Splits daily volume into call/put volume and OI using momentum and volatility
Volatility Filter: Scales thresholds with volFactor = atr / avgAtr for adaptive detection
Spike Detection: Flags spikes and assigns optionsSignal (2, -2, 1, -1, 0) for sentiment
Sentiment Score: Converts call/put ratio into a 0-100 score for quick bias reads
Round Number Detection: Identifies key levels and significant activity for trading zones
Dashboard Display: Updates real time metrics like sentiment score and volatility factor
Visual Elements
✨ These visuals make data come alive:
Gradient Background: Green (bullish) red (bearish) or yellow (neutral/choppy) at 95% transparency to show trend
Aurora Flux Bands: Stepped bands (linewidth 3) around a 14 period EMA ± ATR * 1.8. Colors shift with sentiment (green red lime orange gray) with glow effects at 85% transparency
Round Number Visualization: Stepped lines (linewidth 2) at key levels (solid if active dashed if not) with labels (black background white text size.normal)
Visual Signals: Triangles above/below bars for spikes (size.small for strong size.tiny for regular)
Dashboard: Bottom left table (2 columns 10 rows) with a black background (29% transparency) gray border and metrics:
⚡ Round Number Activity: “Detected” or “None”
📈 Trend: “Bullish” “Bearish” or “Neutral” (colored green/red/gray)
🧠 ATR: Current 10 period ATR
📊 ATR Avg: 20 period SMA of ATR
📉 Volume Spike: “YES” (green) or “NO” (red)
📋 Call/Put Ratio: Current ratio
✨ Flux Signal: “Strong Bullish” “Strong Bearish” “Bullish” “Bearish” or “Neutral” (colored green/red/gray)
⚙️ Volatility Factor: Current volFactor
📈 Sentiment Score: 0-100 score
Usage and Strategy Recommendations
🎯 For Beginners: Use high confidence spikes (green/red triangles) for easy entries. Check the dashboard for a quick market read (sentiment score above 60 = bullish below 40 = bearish). Watch round number levels for support/resistance
💡 For Pros: Combine flux signals with round number activity for high probability setups. Adjust lookbackShort/lookbackLong for trending vs choppy markets. Use volFactor for position sizing (higher = smaller positions)
Parabolic RSI [ChartPrime]The Parabolic RSI indicator applies the Parabolic SAR directly to the Relative Strength Index (RSI) . This combination helps traders identify trend shifts and potential reversal points within the RSI framework. The indicator provides both regular and strong signals based on whether the Parabolic SAR crosses above or below key RSI thresholds.
⯁ KEY FEATURES
Parabolic SAR Applied to RSI – Tracks momentum shifts within the RSI indicator.
Dynamic SAR Dots – Plots SAR levels directly on the RSI for visual clarity.
Threshold-Based Signal Filtering – Uses upper (70) and lower (30) RSI levels to determine strong signals.
Simple and Strong Signal System :
Big Diamonds (Strong Signals) – Appear when Parabolic SAR crosses above 70 or below 30 RSI, indicating potential reversals.
Small Diamonds (Regular Signals) – Appear when Parabolic SAR flips inside the RSI range, signaling weaker trend shifts.
Chart Overlay Signals – Highlights strong RSI-based trend shifts directly on the price chart.
Fully Customizable – Modify RSI length, SAR parameters, colors, and signal displays.
⯁ HOW TO USE
Look for strong signals (big diamonds) when SAR flips above 70 RSI (overbought) or below 30 RSI (oversold) for potential reversals.
Use regular signals (small diamonds) for minor trend shifts within the RSI range.
Combine with price action and other indicators to confirm entry and exit points.
Adjust the SAR acceleration factors to fine-tune sensitivity based on market conditions.
⯁ CONCLUSION
The Parabolic RSI indicator merges trend-following and momentum-based analysis by applying the Parabolic SAR to RSI. This allows traders to detect trend shifts inside the RSI space with an intuitive diamond-based signal system . Whether used alone or as part of a broader trading strategy, this indicator provides a clear and structured approach to identifying momentum reversals and potential trading opportunities.
MACD Crossover + AlertMACD Proximity & Crossover Alert Script
This script is designed to help traders stay ahead of MACD crossovers by providing:
Early alerts when the MACD and Signal lines are getting close (within a customizable threshold)
Instant alerts when a bullish or bearish crossover occurs
Whether you're swing trading or scalping, this tool gives you advanced notice to prepare — and a confirmation signal to act on. It works on any timeframe and helps avoid late entries by alerting you when momentum is shifting.
Features:
Customizable MACD settings (fast, slow, signal length)
Adjustable "proximity" threshold
Visual background highlight when lines are close
Built-in alert conditions for:
MACD crossing above Signal (bullish)
MACD crossing below Signal (bearish)
MACD and Signal getting close (early warning)
Perfect for traders who want a heads-up before momentum shifts — not just a reaction afterward.
Momentum Based RSIThe Momentum Based RSI is an enhancement to the RSI. it incorporates 2 sections:
MA Ratio (Fast/Slow)
RSI
at the end both of those are multiplied to create a more responsive RSI which reacts fast to market moves while still providing a whip ressistant tool.
Momentum Calculation
The "MA Ratio" as i like to call it results from comparing 2 MAs (both can be set to whatever type you like) against eachother, which, in the end, provides a Ratio that visualizes the difference. It is simple yet effective
RSI
An Old yet popular tool which dates back to 1978. In and out of itself it is a great tool, however it still can be enhanced.
The Combination
The RSI and the MARatio are multiplied together, which results in an RSI that is ampliefied by the speed of the market movements.
This proves highly effective, since the MA Ratio is hovering around at the same level. However during trends, it picks up speed in either of both directions which marginally increases the RSI's response the said movement.
Why its Creative, New and Good
While it is a super simple concept, it still holds a lot of power relative to its sophistication. Traders may use it like they used the Vanilla RSI (e.g Trend following, Mean-reversion or other).
Unlike RSI with momentum overlays, this indicator actively uses an MA Ratio multiplier for simplicity and responsiveness.
At last, Its primary goal is to detect trends faster while not creating more noise & false signals.
What not to do
if youre using this indicator, please do NOT change the Fast MA to be slower than to Slow MA or vice versa, since you'll be getting broken & noise induced signals which may not align with your goals.
Great inventions require great Care
As with anything, you should not use this tool without any other confluence. As great as the backtests may be, you dont know what the future holds, be careful!
This indicator is not a guaranteed predicition tool. If youre going to use it for investment decisions, please use it in coherence with other tools.
Thank you for reading!
Session Profile AnalyzerWhat’s This Thing Do?
Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin.
The Cool Stuff It Does:
Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.”
ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level.
VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry).
TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone?
Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it).
How to Play With It:
Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at).
Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes.
Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision.
Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end).
How It All Works (No PhD Required):
RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping.
ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action.
VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash.
TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting.
Why You’ll Like It:
Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff.
Heads-Up:
Load enough history for those micro timeframes to shine (1S needs some bars to work with).
Keeps things light won’t bog down your chart even with decent-sized sessions.
Let’s Roll:
Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
RVI SD Band Oscillator | BinMastaThe RVI SD Band Oscillator is a momentum-based indicator that enhances trend analysis using the Relative Vigor Index (RVI) with Standard Deviation (SD) Bands. It refines signals by incorporating a signal line and dynamically adjusting bands based on market volatility.
Core Components:
RVI Calculation: Measures price momentum relative to past movements.
Signal Line: A smoothed version of RVI to identify crossovers.
SD Bands: Standard deviation-based boundaries to gauge overbought/oversold conditions.
Trading Logic:
Trend Direction: Determined by RVI crossover with the signal line.
Momentum Confirmation: Identifies shifts in buying and selling strength.
Trade Signals:
Bullish when the trend is up & the signal is near the lower band.
Bearish when the trend is down & the signal is near the upper band.
Visual Features:
Colored candles highlight potential trend shifts.
Signal line plot provides additional confirmation.
Disclaimer:
This indicator is for educational purposes only and should not be considered financial advice. Past performance is not indicative of future results. Always conduct your own analysis and risk management before making trading decisions. 🚀
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Momentum Divergence SignalDescription:
The Momentum Divergence Signal is a powerful tool that identifies potential trend reversals by analyzing the interaction between price movements and main oscillators. It highlights moments when price action diverges from the following, which can be a key signal of a trend shift. The most important aspect of this indicator is its ability to detect bullish and bearish divergences.
Coming to the critical part, it is highly recommended to pair this indicator with another trend confirmation tool for improved decision-making, as it works on catching both trend continuation and reversal signals, but it is always favored to match use it as a trend continuation entry provider.
Core Functionality:
Session-Based Signals:
The indicator limits signals to specific market sessions: the Asian, London, and US sessions, optimizing trade opportunities during active trading hours.
Cooldown Mechanism:
To prevent signal spamming, a cooldown period of at least 8 bars is required between each signal, ensuring that new signals are spaced out and not over-generating.
Divergence with Trend Confirmation:
While the RSI divergence alone can highlight potential trend shifts, this script is best paired with other trend-following indicators to filter out false signals. This ensures that the divergence signal is part of a broader, more reliable trend-following strategy.
Visual Components:
Buy and Sell Arrows: Visual arrows on the chart where the divergence occurs, accompanied by "Buy" and "Sell" labels in white to clearly indicate the signal points.
Advanced Concepts:
Divergence as a Reversal Signal: The key strength of this indicator lies in detecting divergences that can indicate a trend reversal. Divergences often precede significant changes in price direction, offering potential opportunities for traders to enter or exit positions before the trend fully shifts.
Pairing with Trend Confirmation Indicators: Since divergence signals can sometimes produce false positives, the most effective use of this tool comes when paired with a trend-following indicator (such as moving averages or price action analysis) to validate the reversal signals.
Applications:
Trend Reversal Detection: Monitor for divergences between price action and RSI to identify potential trend reversals. These signals are most useful when combined with trend confirmation tools to ensure the validity of the reversal.
Strategic Use in Trend-Following Systems: This indicator is best employed within a trend-following strategy where it serves as an additional confirmation signal for market shifts. While it can identify potential reversal points, its strength lies in its ability to identify shifts in momentum within an ongoing trend.
Real-Time Visual Feedback: The "Buy" and "Sell" signals, that are displayed directly on the chart, providing real-time context for traders.
Disclaimer: This indicator is designed for informational purposes only and should not be considered financial advice. Traders should combine it with other market analysis tools and perform their own research before making trading decisions.
Trendfilter AD1
The "Trendfilter AD1" indicator is a versatile tool for trend detection that combines volume changes, price ranges, ATR (Average True Range), and moving averages. It also considers the momentum of True High/Low over a specified period (PROFF). The indicator integrates various mathematical calculations to measure market trends and volatility. Key features include the use of Powerbar colors, which indicate significant activity from large market participants.
Trendfilter LW
The Trendfilter LW section of the script calculates trend strength by comparing short-term and long-term simple moving averages (SMA) of closing prices, and by assessing cumulative price differences. The result is displayed as a histogram, with positive values indicating bullish trends and negative values indicating bearish trends. This helps traders visualize the strength and direction of long-term and short-term trends.
Trendfilter SP
The Trendfilter SP section combines volume changes, ATR data, and Z-score calculations to smooth out trend signals and provide a clearer assessment of market trends. It uses these data points to filter out noise and highlight significant trend changes. The combined Z-score, smoothed by an EMA, offers precise trend indications and helps traders identify whether the prevailing market forces are bullish or bearish.
What is it for?
The indicator helps traders identify trends and assess market volatility. By combining volume and price movements, it highlights potential trend reversals and shifts in market strength. The calculation of True High/Low (PROFF) measures market momentum over a set period, providing insights into price dynamics. The indicator also uses color-coded bars to represent different levels of market activity and trend strength, with Powerbar colors specifically highlighting major market moves driven by large traders.
How is it used?
Traders can customize the indicator through settings such as Volume Change Periods, EMA periods, and the True High/Low period (PROFF). The indicator generates signals based on significant volume and price fluctuations, with trends displayed through color-coded bars. The Trendfilter LW section calculates trend strength using SMA and cumulative price differences, while the Trendfilter SP section combines volume and ATR data with Z-score calculations to smooth out trend signals. These elements together provide a clear picture of market direction and strength.
Uptrick: Adaptive Volatility Oscillator### **Overview and Purpose**
The **"Uptrick: Adaptive Volatility Oscillator"** is a sophisticated technical analysis tool designed to identify and visualize volatility trends within the financial markets. This indicator is particularly useful for traders and analysts who seek to understand the market's underlying momentum by analyzing the relationship between volume and price changes. It adapts to changing market conditions, providing a dynamic way to gauge overbought and oversold levels, identify potential reversals, and track the strength of market movements.
### **Core Components**
1. **Volume Oscillator Calculation**:
- **Purpose**: The volume oscillator is at the heart of this indicator. It measures the directional momentum of volume by comparing current volume levels with those of previous periods.
- **How It Works**: The oscillator calculates the difference between current and past volume levels, determining whether the market is experiencing buying or selling pressure. This is normalized to ensure the oscillator's values are comparable across different time frames and market conditions.
- **Normalized Oscillator**: To make the oscillator's readings more meaningful, the values are normalized by adjusting for standard deviation over a long period (150 bars). This step helps in smoothing out the noise and highlights significant shifts in market activity.
2. **Adaptive Filter Calculation**:
- **Purpose**: The adaptive filter refines the raw oscillator data to create a smoother signal that is responsive to market changes without being overly reactive to minor fluctuations.
- **Adaptive Coefficient**: This coefficient, set by the user, controls the sensitivity of the filter. A higher coefficient makes the filter more sensitive to recent changes, while a lower coefficient gives more weight to past data.
- **How It Works**: The filter applies a weighted average to the oscillator values, where recent data is given more importance. This creates a dynamic signal that adapts to the market's changing conditions, highlighting significant trends and potential turning points.
3. **Signal Line**:
- **Purpose**: The signal line serves as a benchmark for the filtered oscillator values, providing a basis for comparison to determine the current trend's strength.
- **Smoothing**: The signal line is smoothed over a user-defined period to ensure it represents the underlying trend accurately. This smoothing process reduces the noise and allows traders to focus on the more meaningful movements.
4. **Overbought/Oversold Zones**:
- **Purpose**: These zones help traders identify when the market is potentially overstretched and due for a correction. They are crucial for timing entry and exit points.
- **Thresholds**: The user-defined thresholds represent levels where the oscillator values are considered extreme. When the oscillator crosses these levels, it signals that the market may be overbought or oversold.
- **Visual Cues**: The indicator plots these zones on the chart, making it easy for traders to see when the market enters these critical areas. This visualization is vital for spotting potential reversals or continuations in the trend.
5. **Histogram Visualization**:
- **Purpose**: The histogram provides a visual representation of the volatility in the market, making it easier to interpret the oscillator's readings.
- **Color Coding**: The histogram bars are color-coded based on the filtered oscillator's relationship with the signal line. Green bars indicate a positive momentum (bullish), while red bars indicate negative momentum (bearish). This color-coding helps traders quickly assess the market's current state.
- **Intensity of Movement**: The height and color intensity of the histogram bars reflect the strength of the underlying trend. Higher bars with more intense colors signify stronger market movements.
6. **Buy and Sell Signals**:
- **Purpose**: The indicator provides explicit buy and sell signals based on the oscillator's interaction with the signal line and the overbought/oversold thresholds.
- **Buy Signal**: A buy signal is generated when the filtered oscillator crosses above the signal line while in the oversold zone. This suggests that the market may be reversing upwards from an oversold condition.
- **Sell Signal**: Conversely, a sell signal is generated when the filtered oscillator crosses below the signal line while in the overbought zone, indicating a potential downward reversal from an overbought condition.
- **Visual Representation**: These signals are visually represented on the chart with specific symbols, such as green circles for buy signals and red circles for sell signals, making them easy to spot.
### **Usefulness and Applications**
1. **Trend Identification**:
- The indicator is highly effective in identifying the current trend and its strength. By analyzing the relationship between the oscillator and the signal line, traders can determine whether the market is in an uptrend, downtrend, or ranging. The adaptive nature of the filter ensures that the trend signals remain relevant even as market conditions change.
2. **Volatility Analysis**:
- Understanding market volatility is crucial for risk management and strategy development. This indicator provides a clear view of how volatility is evolving, helping traders adjust their strategies accordingly. For example, higher volatility might suggest the need for tighter stop losses or more conservative position sizes.
3. **Overbought/Oversold Detection**:
- The overbought and oversold zones are essential for identifying potential reversal points. These zones can be used to time entries and exits, particularly in markets that are prone to mean reversion. The visual cues provided by the indicator make it easier to spot when the market might be overstretched.
4. **Adaptive Filtering**:
- The adaptive filter is a significant advantage of this indicator. Unlike static filters, which might lag or react too quickly to noise, the adaptive filter adjusts to the market's pace. This makes the indicator versatile, suitable for different market conditions, and less prone to giving false signals.
5. **Visual Clarity**:
- The indicator is designed with visual clarity in mind. The color-coded bars and overbought/oversold zones make it easy to interpret the market's current state at a glance. This is particularly useful for traders who rely on quick decision-making or need to monitor multiple assets simultaneously.
6. **Customizability**:
- The indicator offers several user inputs that allow traders to customize it according to their trading style and market of interest. This includes the length of the volume period, the sensitivity of the adaptive filter, and the thresholds for overbought/oversold conditions. Such flexibility makes it a valuable tool for both short-term traders and long-term investors.
### **Conclusion**
The "Uptrick: Adaptive Volatility Oscillator" is a powerful and versatile indicator that blends volume analysis with adaptive filtering to provide a nuanced view of market trends and volatility. Its ability to identify overbought and oversold conditions, coupled with its adaptive nature, makes it an indispensable tool for traders looking to gain an edge in the markets. Whether you're aiming to spot trend reversals, confirm the strength of ongoing trends, or manage risk through volatility analysis, this indicator offers the insights needed to make informed trading decisions. Its clear visual signals and customizable parameters further enhance its utility, making it suitable for a wide range of trading strategies and market environments.
