Bidirectional Momentum Aggregator w/ Time Weighting Intrabar Data Extraction:
The script optionally harnesses lower time frame data (e.g., per-second intervals) for high and low prices within each primary bar. You can set it to the current chart time but if you want to use intrabar data it uses the request.security_lower_tf() to properly pull intrabar data.
This fine-grained data enables an in-depth examination of the price action that occurs within a standard timeframe, enhancing the ability to detect subtle market movements.
A key threshold based on Average True Range (ATR) is used to measure significant price changes intrabar, adding a robust filter for volatility sensitivity.
Cumulative Time-to-Threshold Analysis:
The indicator tracks how long it takes for price changes to reach specified thresholds, marking critical time points when upward or downward price movements exceed these levels. This approach provides insights into the speed and intensity of directional shifts within the market.
The calculated time-to-threshold values act as temporal markers that influence subsequent momentum weighting.
Bidirectional Momentum Calculation:
Momentum is assessed in two directions (upward and downward) using a comprehensive array of price changes.
Adaptive Weighting Mechanism:
Each momentum value is weighted by the calculated time-to-threshold, giving preference to momentum that occurs more rapidly and aligning with potential breakout conditions.
The script also factors in correlations between momentum and price change, ensuring that only the most relevant signals contribute to the final analysis.
Iterative Length Analysis:
By iterating over a range of lengths (e.g., 100 to 200 periods), the script aggregates data to assess momentum across different time scales. This provides a more holistic view of market behavior, accommodating both short-term fluctuations and longer-term trends.
Each length is evaluated using moving averages and correlations to determine its contribution to the total weighted momentum.
Final Aggregated Output:
The weighted sums of upward and downward momentum are normalized by the total weight to produce a final composite metric.
The indicator plots these results as separate upward and downward momentum lines, offering traders a visual representation of which direction holds more momentum strength over various intervals.
Practical Application:
This indicator's advanced design is tailored for traders who require a deeper understanding of price movement dynamics and the underlying forces driving market momentum. By incorporating intrabar data, adaptive time-to-threshold calculations, and iterative analysis, this tool seeks to provide a clearer view of potential market direction shifts and their timing.
The indicator can be used to:
Identify potential breakout or reversal points by observing significant shifts in weighted momentum.
Gauge the relative strength of uptrends and downtrends through the plotted momentum lines.
Enhance decision-making with an additional layer of granularity from intrabar data.
In essence, this script is an ambitious attempt to blend multi-scale analysis, momentum dynamics, and time-weighted evaluation, creating a unique approach to understanding market behavior beyond conventional indicators.
חפש סקריפטים עבור "momentum"
NASI +The NASI + indicator is an advanced adaptation of the classic McClellan Oscillator, a tool widely used to gauge market breadth. It calculates the McClellan Oscillator by measuring the difference between the 19-day and 39-day EMAs of net advancing issues, which are optionally adjusted to account for the relative strength of advancing vs. declining stocks.
To enhance this analysis, NASI + applies the Relative Strength Index (RSI) to the cumulative McClellan Oscillator values, generating a unique momentum-based view of market breadth. Additionally, two extra EMAs—a 10-day and a 4-day EMA—are applied to the RSI, providing further refinement to signals for overbought and oversold conditions.
With NASI +, users benefit from:
-A deeper analysis of market momentum through cumulative breadth data.
-Enhanced sensitivity to trend shifts with the applied RSI and dual EMAs.
-Clear visual cues for overbought and oversold conditions, aiding in intuitive signal identification.
Kurutoga Histogram with HTF and LTF
Kurutoga Histogram:
The Kurutoga Histogram is a technical analysis indicator designed to measure price divergence from the 50% level of a recent price range. By calculating how far the current price is from the midpoint of a selected base length of candles, the histogram provides insight into the momentum, strength, and potential reversals in the market. Additionally, it can be applied across multiple timeframes to provide a comprehensive view of both short- and long-term market dynamics.
Key Components:
Base Length:
The base length is the number of candles (bars) over which the high and low prices are observed. The default base length is typically 14 periods, but it can be adjusted according to the trader's preference.
This base length defines the range from which the 50% level, or midpoint, is calculated.
50% Level (Midpoint):
The midpoint is the average of the highest high and the lowest low over the selected base length. This 50% level acts as an equilibrium point around which the price fluctuates.
Formula:
Midpoint = (Highest High + Lowest Low) / 2
The price’s distance from this midpoint is an indicator of how strong the current trend or divergence is.
Price Divergence:
The main calculation of the histogram is the difference between the current closing price and the midpoint of the price range.
Formula:
Divergence = Close Price − Midpoint
A positive divergence (price above the midpoint) indicates bullish strength, while a negative divergence (price below the midpoint) indicates bearish strength.
Multi-Timeframe Analysis:
The Kurutoga Histogram can be applied to both the current timeframe and a higher timeframe (HTF), allowing traders to gauge price movement in both short-term and long-term contexts.
By comparing the histograms of multiple timeframes, traders can determine if there is alignment (confluence) between trends, which can strengthen trade signals or provide additional confirmation.
Color-Coded Histogram:
Blue Bars (Positive Divergence): Represent that the price is above the 50% level, indicating bullish momentum. Taller blue bars suggest stronger upward momentum, while shrinking bars suggest weakening strength.
Red Bars (Negative Divergence): Represent that the price is below the 50% level, indicating bearish momentum. Taller red bars suggest stronger downward momentum, while shrinking bars suggest a potential reversal or consolidation.
The histogram’s color intensity and transparency can be adjusted to enhance the visual effect, distinguishing between current timeframe (LTF) and higher timeframe (HTF) divergence.
Interpretation:
Bullish Signals: When the histogram bars are blue and growing, the price is gaining momentum above the midpoint of its recent range. This could signal an ongoing uptrend.
Bearish Signals: When the histogram bars are red and growing, the price is gaining momentum below the midpoint, signaling an ongoing downtrend.
Momentum Shifts: When the histogram bars shrink in size (whether blue or red), it could indicate that the current trend is losing strength and may reverse or enter consolidation.
Neutral or Sideways Movement: When the histogram bars hover around zero, it means the price is trading near the midpoint of its recent range, often signaling a lack of strong momentum in either direction.
Multi-Timeframe Confluence:
When the current timeframe (LTF) histogram aligns with the higher timeframe (HTF) histogram (e.g., both are showing strong bullish or bearish divergence), it may provide stronger confirmation of the trend's strength.
Divergence between timeframes (e.g., bullish on LTF but bearish on HTF) may suggest that price movements on lower timeframes are not yet reflected in the broader trend, signaling caution.
Applications:
Trend Identification: The Kurutoga Histogram is highly useful for detecting when the price is trending away from its equilibrium point, providing insight into the strength of ongoing trends.
Momentum Analysis: By measuring the divergence from the 50% level, the histogram helps traders identify when momentum is increasing or decreasing.
Reversal Detection: Shrinking histogram bars can signal weakening momentum, which often precedes trend reversals.
Consolidation and Breakouts: When the histogram remains near zero for an extended period, it suggests consolidation, which often precedes a breakout in either direction.
Advantages:
Clear Visuals: The use of a color-coded histogram makes it easy to visually assess whether the market is gaining bullish or bearish momentum.
Multi-Timeframe Utility: The ability to compare current timeframe signals with higher timeframe signals adds an extra layer of confirmation, reducing false signals.
Dynamic Adjustment: By adjusting the base length, traders can fine-tune the sensitivity of the indicator to match different markets or trading styles.
Limitations:
Lagging Indicator: Like most divergence indicators, the Kurutoga Histogram may lag slightly behind actual price movements, especially during fast, volatile markets.
Requires Confirmation: This indicator works best when used in conjunction with other technical tools like moving averages, support/resistance levels, or volume indicators, to avoid relying on divergence alone.
Conclusion:
The Kurutoga Histogram is a versatile and visually intuitive tool for measuring price divergence from a key equilibrium point, helping traders to assess the strength of trends and identify potential reversal points. Its use across multiple timeframes provides deeper insights, making it a valuable addition to any trading strategy that emphasizes momentum and trend following.
Burst PowerThe Burst Power indicator is to be used for Indian markets where most stocks have a maximum price band limit of 20%.
This indicator is intended to identify stocks with high potential for significant price movements. By analysing historical price action over a user-defined lookback period, it calculates a Burst Power score that reflects the stock's propensity for rapid and substantial moves. This can be helpful for stock selection in strategies involving momentum bursts, swing trading, or identifying stocks with explosive potential.
Key Components
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Significant Move Counts:
5% Moves: Counts the number of days within the lookback period where the stock had a positive close-to-close move between 5% and 10%.
10% Moves: Counts the number of days with a positive close-to-close move between 10% and 19%.
19% Moves: Counts the number of days with a positive close-to-close move of 19% or more.
Maximum Price Move (%):
Identifies the largest positive close-to-close percentage move within the lookback period, along with the date it occurred.
Burst Power Score:
A composite score calculated using the counts of significant moves: Burst Power =(Count5%/5) +(Count10%/2) + (Count19%/0.5)
The score is then rounded to the nearest whole number.
A higher Burst Power score indicates a higher frequency of significant price bursts.
Visual Indicators:
Table Display: Presents all the calculated data in a customisable table on the chart.
Markers on Chart: Plots markers on the chart where significant moves occurred, aiding visual analysis.
Using the Lookback Period
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The lookback period determines how much historical data the indicator analyses. Users can select from predefined options:
3 Months
6 Months
1 Year
3 Years
5 Years
A shorter lookback period focuses on recent price action, which may be more relevant for short-term trading strategies. A longer lookback period provides a broader historical context, useful for identifying long-term patterns and behaviors.
Interpreting the Burst Power Score
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High Burst Power Score (≥15):
Indicates the stock frequently experiences significant price moves.
Suitable for traders seeking quick momentum bursts and swing trading opportunities.
Stocks with high scores may be more volatile but offer potential for rapid gains.
Moderate Burst Power Score (10 to 14):
Suggests occasional significant price movements.
May suit traders looking for a balance between volatility and stability.
Low Burst Power Score (<10):
Reflects fewer significant price bursts.
Stocks are more likely to exhibit longer, sustainable, but slower price trends.
May be preferred by traders focusing on steady growth or longer-term investments.
Note: Trading involves uncertainties, and the Burst Power score should be considered as one of many factors in a comprehensive trading strategy. It is essential to incorporate broader market analysis and risk management practices.
Customisation Options
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The indicator offers several customisation settings to tailor the display and functionality to individual preferences:
Display Mode:
Full Mode: Shows the detailed table with all components, including significant move counts, maximum price move, and the Burst Power score.
Mini Mode: Displays only the Burst Power score and its corresponding indicator (green, orange, or red circle).
Show Latest Date Column:
Toggle the display of the "Latest Date" column in the table, which shows the most recent occurrence of each significant move category.
Theme (Dark Mode):
Switch between Dark Mode and Light Mode for better visual integration with your chart's color scheme.
Table Position and Size:
Position: Place the table at various locations on the chart (top, middle, bottom; left, center, right).
Size: Adjust the table's text size (tiny, small, normal, large, huge, auto) for optimal readability.
Header Size: Customise the font size of the table headers (Small, Medium, Large).
Color Settings:
Disable Colors in Table: Option to display the table without background colors, which can be useful for printing or if colors are distracting.
Bullish Closing Filter:
Another customisation here is to count a move only when the closing for the day is strong. For this, we have an additional filter to see if close is within the chosen % of the range of the day. Closing within the top 1/3, for instance, indicates a way more bullish day tha, say, closing within the bottom 25%.
Move Markers on chart:
The indicator also marks out days with significant moves. You can choose to hide or show the markers on the candles/bars.
Practical Applications
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Momentum Trading: High Burst Power scores can help identify stocks that are likely to experience rapid price movements, suitable for momentum traders.
Swing Trading: Traders looking for short- to medium-term opportunities may focus on stocks with moderate to high Burst Power scores.
Positional Trading: Lower Burst Power scores may indicate steadier stocks that are less prone to volatility, aligning with long-term investment strategies.
Risk Management: Understanding a stock's propensity for significant moves can aid in setting appropriate stop-loss and take-profit levels.
Disclaimer: Trading involves significant risk, and past performance is not indicative of future results. The Burst Power indicator is intended for educational purposes and should not be construed as financial advice. Always conduct thorough research and consult with a qualified financial professional before making investment decisions.
Market Momentum @MaxMaseratiThe Market Momentum Indicator plots two essential lines on your chart: the Momentum Line and the Momentum Signal, enabling you to visualize price direction and detect potential shifts in that direction.
Momentum Line:
The Momentum Line is calculated by finding the highest and lowest prices over the last 14 periods and then determining the midpoint between them. This midpoint is what we call the Momentum Line.
Momentum Signal:
The Momentum Signal is simply the Momentum Line shifted upward by a small fixed amount called the tick_size, which is set to 0.25 in this script.
Why 0.25?: The 0.25 tick size is a standard increment in many markets. It creates a small but noticeable difference between the Momentum Line and the Momentum Signal, making it easier to spot changes in market momentum. It’s small enough to reflect minor shifts without distorting the indicator’s usefulness.
NB: The indicator was originally created to be use without smoothing, but I add it as an option for smoothing and moving average lovers.
Smoothing:
You have the option to smooth these lines using different types of moving averages, like SMA or EMA. Smoothing makes the lines less jagged and more gradual.
If you apply smoothing, the Momentum Line and Momentum Signal might cross each other depending on the market’s movement.
How to use it:
When both lines are below price, it might indicates a Bullish Momentum
When both lines are above the price, it could suggest a Bearish Momentum.
When the lines are within the price range, it indicates the market is in a consolidation phase, signaling the potential for a move in either direction.
snapshot
Users can view Momentum Line and Momentum Signal for two specific time frames of their choice. Additionally, they have the option to smooth the lines separately for each time frame. For example, if "TF1" is set to 15 minutes and the current chart time frame is 5 minutes, the table will display "TF1: 15" alongside "Current TF: 5." Another option, "TF2," could be set to 60 minutes. Both time frames will be plotted on the chart if selected.
This indicator can be use as a supporting tool alongside your chosen strategy. It’s not designed to be used on its own and should be part of a broader confluence approach.
KASPA Slope OscillatorKASPA Slope Oscillator for analyzing KASPA on the 1D (daily) chart.
The indicator is plotted in a separate pane below the price chart and uses a mathematical approach to calculate and visualize the momentum or "slope" of KASPA's price movements.
Input Parameters:
Slope Window (days):
Defines the period (66 days by default) over which the slope is calculated.
Normalization Window (days):
The window size (85 days) for normalizing the slope values between 0 and 100.
Smoothing Period:
The number of days (15 days) over which the slope values are smoothed to reduce noise.
Overbought and Oversold Levels:
Threshold levels set at 80 (overbought) and 20 (oversold), respectively.
Calculation of the Slope:
Logarithmic Price Calculation:
Converts the close price of KASPA into a logarithmic scale to account for exponential growth or decay.
Rolling Slope:
Computes the rate of change in logarithmic prices over the defined slope window.
Normalization:
The slope is normalized between 0 and 100, allowing easier identification of extreme values.
Smoothing and Visualization:
Smoothing the Slope:
A Simple Moving Average (SMA) is applied to the normalized slope for the specified smoothing period.
Plotting the Oscillator:
The smoothed slope is plotted on the oscillator chart. Horizontal lines indicate overbought (80), oversold (20), and the mid-level (50).
Background Color Indications:
Background colors (red or green) indicate when the slope crosses above the overbought or below the oversold levels, respectively, signaling potential buy or sell conditions.
Detection of Local Maxima and Minima:
The code identifies local peaks (maxima) above the overbought level and troughs (minima) below the oversold level.
Vertical background lines are highlighted in red or green at these points, signaling potential reversals.
Short Summary:
The oscillator line fluctuates between 0 and 100, representing the normalized momentum of the price.
Red background areas indicate periods when the oscillator is above the overbought level (80), suggesting a potential overbought condition or a sell signal.
Green background areas indicate periods when the oscillator is below the oversold level (20), suggesting a potential oversold condition or a buy signal.
The vertical lines on the background mark local maxima and minima where price reversals may occur.
(I also want to thank @ForgoWork for optimizing visuality and cleaning up the source code)
US Futures Momentum OverviewThe "US Futures Momentum Overview" indicator is designed to provide a comprehensive view of momentum across various U.S. futures markets. It calculates the Rate of Change (ROC) for multiple futures contracts and displays them as lines on a chart. Each futures market is plotted with a unique color for easy differentiation, allowing traders to quickly assess the momentum in different markets.
Features:
ROC Calculation: Measures the percentage change in price over a specified period, indicating the rate of change in momentum.
Futures Markets Covered: Includes major U.S. indices, commodities, and agricultural products.
How to Use:
Momentum Analysis: Observe the ROC lines for each futures market. A positive ROC indicates increasing momentum, while a negative ROC suggests decreasing momentum.
Trend Identification: Use the ROC values to identify strong trends in different markets. Markets with higher positive ROC values show stronger upward momentum.
Comparison: Compare momentum across various futures markets to identify which ones are showing stronger trends and might offer better trading opportunities.
LC: Trend & Momentum IndicatorThe "LC: Trend & Momentum Indicator" was built to provide as much information as possible for traders and investors in order to identify or follow trend and momentum. The indicator is specifically targeted towards the cryptocurrency market. It was designed and developed to present information in an way that is easy to consume for beginner to intermediate traders.
Indicator Overview
While the indicator provides trend data through a number of components, it presents this data in an easy to understand colour coded schema that is consistent across each component; green for an uptrend, red for a downtrend and orange for transition and/or chop. The indicator allows traders to compare price trends when trading altcoins between USD pairs, BTC pairs and the BTC/USDT pair. This is achieved by representing price trends in easy-to-consume trend bars, allowing traders to get as much information as possible in a quick glance. The indicator also includes RSI which is also a useful component in identifying trend and momentum. The RSI component includes a custom RSI divergence detection algorithm to assist traders in identifying changes in trend direction. By providing both Price Trend comparison and RSI components, a full picture is provided when determining trend and momentum of an asset without having to switch between trading pairs. This makes it particularly useful for the beginner to intermediate trader.
The indicator is split into three components:
RSI
The RSI is colour-coded to identify the RSI trend based on when it crosses an EMA. Green indicates that the RSI is in a bullish trend, red indicates a bearish trend and orange indicates a transition between trends. RSI regular divergences are detected using a custom algorithm built from the ground up. The algorithm uses a combination of ATR and candle structure to determine highs and lows for both price action and RSI. Based on this information, divergences are determined making sure to exclude any invalid divergences crossing over highs and lows for both price action and RSI.
Asset Price Trend Bar
The asset price trend is detected using a cross over of a fast EMA (length 8) and slow EMA (length 21) and is displayed as a trend bar (First bar in the indicator). There are additional customised confirmation and invalidation algorithms included to ensure that trends don't switch back and forth too easily if the EMAs cross due to deeper corrections. These algorithms largely use candle structure and momentum to determine if trends should be confirmed or invalidated. For price trends, green represents a bullish trend, red represents a bearish trend and orange can be interpreted as a trend transition, or a period of choppy price action.
BTC Price Trend Bars
When Altcoins are selected, a BTC pair trend bar (Second bar in the indicator) as well as a BTCUSDT trend bar (Third bar in the indicator) is displayed. The algorithm to determine these trends is based on exactly the same logic as the asset price trend. The same colour coding applies to these price trend bars.
Why are these components combined into a single indicator?
There are two primary reasons for this.
1. The colour coded schema employed across both RSI and price trends makes it user-friendly for the beginner to intermediate trader. It can be extremely difficult and overwhelming for a beginner to identify asset price trend, BTC relative price trends and the RSI trend. By providing these components in a single indicator it helps the user to identify these trends quickly while being able to find confluence across these trends by matching the colour coded schema employed across the indicator. For experienced traders this can be seen as convenient. For beginners it can be seen as a method to identify, and learn how to identify these trends.
2. It is not obvious, especially to beginners, the advantage of using the RSI beyond divergences and overbought/oversold when identifying trend and momentum. The trend of the RSI itself as well as it's relative % can be useful in building a picture of the overall price trend as well as the strength of that trend. The colour coded schema applied to the RSI trend makes it difficult to overlook, after which it is up to the trader to decide if this is important or not to their own strategies.
Indicator Usage
NOTE: It is important to always back test and forward test strategies before using capital. While a strategy may look like it is working in the short term, it may not be the case over varying conditions.
This indicator is intended to be used in confluence with trading strategies and ideas. As it was designed to provide easy-to-consume trend and momentum information, the usage of the indicator is based on confluence. It is up to a user to define, test and implement their own strategies based on the information provided in the indicator. The indicator aims to make this easier through the colour coded schema used across the indicator.
For example, using the asset price trend alone may indicate a good time to enter trades. However, adding further trend confluence may make the case stronger to enter the trade. If an asset price is trending up while the BTCUSDT pair is also trending up, it may add strength to the case that it may be a good time to enter long positions. Similarly, extra confluence may be added by looking at RSI, either at divergences, trend or the current RSI % level.
Adaptive Fisherized Z-scoreHello Fellas,
It's time for a new adaptive fisherized indicator of me, where I apply adaptive length and more on a classic indicator.
Today, I chose the Z-score, also called standard score, as indicator of interest.
Special Features
Advanced Smoothing: JMA, T3, Hann Window and Super Smoother
Adaptive Length Algorithms: In-Phase Quadrature, Homodyne Discriminator, Median and Hilbert Transform
Inverse Fisher Transform (IFT)
Signals: Enter Long, Enter Short, Exit Long and Exit Short
Bar Coloring: Presents the trade state as bar colors
Band Levels: Changes the band levels
Decision Making
When you create such a mod you need to think about which concepts are the best to conclude. I decided to take Inverse Fisher Transform instead of normalization to make a version which fits to a fixed scale to avoid the usual distortion created by normalization.
Moreover, I chose JMA, T3, Hann Window and Super Smoother, because JMA and T3 are the bleeding-edge MA's at the moment with the best balance of lag and responsiveness. Additionally, I chose Hann Window and Super Smoother because of their extraordinary smoothing capabilities and because Ehlers favours them.
Furthermore, I decided to choose the half length of the dominant cycle instead of the full dominant cycle to make the indicator more responsive which is very important for a signal emitter like Z-score. Signal emitters always need to be faster or have the same speed as the filters they are combined with.
Usage
The Z-score is a low timeframe scalper which works best during choppy/ranging phases. The direction you should trade is determined by the last trend change. E.g. when the last trend change was from bearish market to bullish market and you are now in a choppy/ranging phase confirmed by e.g. Chop Zone or KAMA slope you want to do long trades.
Interpretation
The Z-score indicator is a momentum indicator which shows the number of standard deviations by which the value of a raw score (price/source) is above or below the mean value of what is being observed or measured. Easily explained, it is almost the same as Bollinger Bands with another visual representation form.
Signals
B -> Buy -> Z-score crosses above lower band
S -> Short -> Z-score crosses below upper band
BE -> Buy Exit -> Z-score crosses above 0
SE -> Sell Exit -> Z-score crosses below 0
If you were reading till here, thank you already. Now, follows a bunch of knowledge for people who don't know the concepts I talk about.
T3
The T3 moving average, short for "Tim Tillson's Triple Exponential Moving Average," is a technical indicator used in financial markets and technical analysis to smooth out price data over a specific period. It was developed by Tim Tillson, a software project manager at Hewlett-Packard, with expertise in Mathematics and Computer Science.
The T3 moving average is an enhancement of the traditional Exponential Moving Average (EMA) and aims to overcome some of its limitations. The primary goal of the T3 moving average is to provide a smoother representation of price trends while minimizing lag compared to other moving averages like Simple Moving Average (SMA), Weighted Moving Average (WMA), or EMA.
To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works:
Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.'
Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.'
Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.'
The formula for the T3 moving average is as follows:
T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3)
By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action.
JMA
The Jurik Moving Average (JMA) is a technical indicator used in trading to predict price direction. Developed by Mark Jurik, it’s a type of weighted moving average that gives more weight to recent market data rather than past historical data.
JMA is known for its superior noise elimination. It’s a causal, nonlinear, and adaptive filter, meaning it responds to changes in price action without introducing unnecessary lag. This makes JMA a world-class moving average that tracks and smooths price charts or any market-related time series with surprising agility.
In comparison to other moving averages, such as the Exponential Moving Average (EMA), JMA is known to track fast price movement more accurately. This allows traders to apply their strategies to a more accurate picture of price action.
Inverse Fisher Transform
The Inverse Fisher Transform is a transform used in DSP to alter the Probability Distribution Function (PDF) of a signal or in our case of indicators.
The result of using the Inverse Fisher Transform is that the output has a very high probability of being either +1 or –1. This bipolar probability distribution makes the Inverse Fisher Transform ideal for generating an indicator that provides clear buy and sell signals.
Hann Window
The Hann function (aka Hann Window) is named after the Austrian meteorologist Julius von Hann. It is a window function used to perform Hann smoothing.
Super Smoother
The Super Smoother uses a special mathematical process for the smoothing of data points.
The Super Smoother is a technical analysis indicator designed to be smoother and with less lag than a traditional moving average.
Adaptive Length
Length based on the dominant cycle length measured by a "dominant cycle measurement" algorithm.
Happy Trading!
Best regards,
simwai
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Credits to
@cheatcountry
@everget
@loxx
@DasanC
@blackcat1402
EXOFADEEXOFADE is an incredible trading indicator designed help give traders a visual clue of price momentum by combining Linear regression calculations with volume.
Overview:
ExoFade is a unique and dynamic trading indicator designed for both beginner and professional traders. At its core, it uses a sophisticated blend of multiple linear regression analysis, incorporating price, time, and volume-weighted moving average (VWMA) to predict potential price movements. By analyzing these key factors, EXOFade offers an innovative approach to understanding market trends and identifying trade opportunities.
Why It Works:
ExoFade works by calculating a regression line that adapts to market conditions, factoring in both price trends and trading volumes. This approach provides a more nuanced view of market momentum, going beyond traditional price-only indicators. The inclusion of time as a variable offers unique insights into market dynamics, making ExoFade a valuable tool for various trading strategies.
Key Features to Look Out For:
Regression Line: The heart of ExoFade, offering visual cues about the market's direction.
ATR-Based Fade Levels: Utilizes Average True Range (ATR) to set dynamic levels that signal potential reversals or continuation. The indicator comes with three fade levels, which are described below
Alert Conditions: You can set up for alerts for when any of the fade levels have been been reached, indicating potential entry points.
What Are Fade Levels And How To Use The Enter Trades:
The exofade line always moves with price, this indicates that the current volume is moving in the same direction.
When you see the exofade start to move ahead of price. For example, in an Uptrend, if price stops making new highs and you see the exofade line continue moving up ahead of price as price stagnates, this is the first time that you should be expecting pull back or reversal. When the line starts to visibly curve, this when you want to enter the trade.
Sometimes, the exofade line will move just a little bit ahead of price, and sometimes it will move a clear distance ahead of price.
From my experience, the further ahead it moves from price without price keeping up, the higher the probability of a pullback or reversal.
The actual pullback then starts when the exofade line starts to curve, which signifies the start if the actual pullback.
Since we cannot sit and watch for when the line has either moved further ahead enough or started to curve, thats why i figured to use ATR as the best way to measure the distance the exofade line moves ahead of price and the ATR also happens to measure Volatility, which makes it a perfect match.
From forward testing this for months, i have found the pullbacks typically start when the exofade line has moved ahead of price by atleast 2 ATR's. A distance of 2 ATR and above are the ones i consider the best setups. This also marks the point for your stop loss, since 2 ATR is generally used stoploss level.
To catch and sell a pullback in an uptrend, you can set alert for one or both of these alerts
Fade Level 2 abv price - This alert will trigger once Exofade line reached 2 ATR ABOVE price (Just means it has reached 2 atr, dosent mean it has started curving yet)
Curve lvl 2 - SELL - This alert means the exofade line has started to curve at 2 ATR
To buy pullbacks in a downtrend you set the opposite alerts of the one above for curve below price
There are also same alerts for level 3 as well, which is 2.5 ATR
IMPORTANT NOTES - DONT SKIP THIS
For daily and intra-day swings - Use this on 1hr trend upwards - The exofade line much slower on higher timeframe, so when you get a curve on a high time frame, like the 4HR or Daily timeframe, those are excellent signals
For scalpers trading 1hr below - The exofade moves faster on lower timeframes, so more caution should be used with these on lower timeframes , you this with other confluences like a good momentum oscillator oversold/overbought regions StochRSI, MACD etc
EXTRA TIPS
- Since the curve forms slower on higher time frames, it means getting a curve the on daily and weekly chart can help in your trend analysis to detect early signs of potential trend reversals
-I typically pair this with my customized version of Nadaraya watsons envelope ( a free indicator on tradingview) It will further improve your entry and winrate. Biggest advantage is for setting a profit target. In a buy trade for example, you buy the curve below price and set your profit target for the top band of the nadaraya watson envelope. Very efficient for scalping
- Unique areas were you want to pay attention to the exofade is when price enters points of interest, this depending on your trading style could be a
-FVG - fair value gaps
-Order blocks
- Supply / Demand areas
-Volume profile Value area High and Value area Low
The are two scenarios i would like you to be cautious of
1. As with every indicator and strategy, i most definitely wouldn't use this during high impact news.
2. If price is trending very strongly in one direction only, such that even barely gives any decent pull backs at all. Most especially if that strong push is happening between the 4hr to Daily time frame. Do not attempt to counter those trends unless you know what you are doing. Its not advisable.
Instead i'll recommend using the Exofade to catch an entry in the direction of the trade for a continuation.
And Lastly
Since this indicator uses VOLUME data as part of its calculations. It will not work on any pairs that tradingview does not provide volume data for, like Gold. But it will work normally on Gold Futures, since that has volume data
Velocity Acceleration Indicator [CC]The Velocity Acceleration Indicator was created by Scott Cong (Stocks and Commodities Sep 2023, pgs 8-15). This is another personal variation of his formula designed to capture the overall velocity acceleration of the underlying stock by applying the velocity formula to the original indicator to find the acceleration of the underlying velocity. I changed a few things around and managed actually to get less lag and quicker signals for this version, so make sure you compare the Velocity Indicator script that I published yesterday. This indicator is also visually similar to a typical stochastic indicator but uses a different underlying calculation. This works well as a momentum indicator, and the values are completely unbounded, so the best ways to determine bullish or bearish trends is either by using a crossover or crossunder between the indicator and the midline or to buy or sell the indicator when it reaches a high or low point and starts to fall or rise respectively. I used the zero line for my default version to help determine the bullish or bearish trends. I have also included multiple colors to differentiate between very strong signals and normal signals, so very strong signals are darker in color, and normal signals use lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators or scripts you would like to see me publish! I will have some more new scripts in the next week or so.
Bellcurves (Expo)█ Overview
Bellcurves (Expo) indicator helps traders identify potential tops and bottoms, and gauge market impulses. It provides a clear view of the market by filtering out the noise and highlighting only the relevant information. This makes it easier for traders to identify potential market reversals and key support and resistance levels. With Bellcurves, traders can quickly and easily spot important market impulses.
█ How is Bellcurve calculated?
The Bellcurves indicator achieves this by focusing on the distribution of price data, rather than the individual price points themselves. This approach removes the noise from the data and allows traders to see the underlying price moves more clearly.
█ How to use
The unique perspective that Bellcurves offers can be especially useful in highly volatile markets. By providing a clearer view of the market impulses, Bellcurves can help traders stay ahead of market movements and take advantage of potential reversal setups.
Find Reversals
The Bellcurves indicator shows price areas with a higher probability of a market reversal.
Take Profits
The Bellcurves indicator can be used to identify potential exit points. For example, traders can exit their position when the Bellcurve starts to turn.
Impulses
The height of the Bellcurve determines the strength of the price movement. The bigger the Bellcurve, the stronger the price move.
█ Additional Indicator Features
Pre-Bellcurves: This feature highlights when a Bellcurve is about to plot.
Oscillator mode: Traders can choose to display the Bellcurve as an oscillator.
Momentum Impulse: Displays green and red dots when the momentum gets strong.
Divergences: Highlights divergences between strong market impulses.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Fisherized CCIIntroduction
This here is a non-repainting indicator where I use inverse Fisher transformation and smoothing on the well-known CCI (Commdity Channel Index) momentum indicator.
"The Inverse Fisher Transform" describes the calculation and use of the inverse Fisher transform by Dr . Ehlers in 2004. The transform is applied to any indicator with a known probability distribution function. It enables to transform an indicator signal into the range between +1 and -1. This can help to eliminate the noise of an indicator.
The CCI is an momentum indicator which describes the distance of the price to the average price.
For smoothing I used the Hann Window and NET (Noise Elimination Technique) methods.
Additional Features
Divergence Analysis
Trend-adaptive Histogram
Timeframe selection
Usage
It is usually used to spot potential trend reverals or mean-reversion (against the trend) trades on lower timeframes. IMO it can be even used to spot trend-following trades. It always depends on which settings you have, which timeframe do you use and which indicators you combine with it.
The suggested timeframe for this indicator is 15 min (with the length setting on 50).
The histogram with adaptive mode enabled could be used as filter applied on the buy and sell signals.
The divergence analysis can help to spot additional entries/exits or confirm the buy and sell signals.
Always try to find the best settings! This indicators has a lot of customization options you should take advantage of.
Signals
The indicator uses the following logic to generate the buy and sell signals:
Normal
Buy -> When CCI and MA go above the top band (usually +100) and cross
Sell -> When CCI and MA go below the the bottom band (usually -100) and cross
Fisherized
Buy -> When CCI and MA go above the the zero line and cross
Sell -> When CCI and MA go below the the zero line and cross
Have fun with the indicator! I am open for feedback and questions. :)
MACD ZERO RETARD + Zones importantes (CedSako)MACD indicator with zero lag. (formula calculated so as to be as close as possible to the price reaction).
In addition, you can add a background that will give you the key buy and sell zones (the first based solely on the MACD ZR, the second on a Momentum system and finally the ultimate zones include the MACD and the Momentum) .
This indicator is not a buy or sell signal, but can usefully be used in your strategy to confirm your entry and exit points.
Do not hesitate to go see my other indicator (based on volatility and different averages).
Unicorn MultiOsMultiOs is an oscillator that combines several widely used oscillators into one. In order to combine different oscillators, it is necessary to reduce them to a single scale. To do this we have developed a custom method based on z-scoring and adjusting by volatility .
The user can choose which of the oscillators from the list to combine into one. The combinations are countless. Some of the combinations may be a better fit for certain markets or trading styles. We call this new class of indicators obtained by combining several oscillators into one - "super oscillators". MultiOs provides a wide scopе for experimentation in creating different super oscillators. A good way to start is to combine all the oscillators from the list into one.
As our practice shows, combining several oscillators into one provides a number of advantages:
The compound super oscillator is smoother than any of its components, but its lag does not increase. This is due to the fact that the calculation does not require additional rolling window averaging. The averaging is performed over an ensemble of several non-smoothed oscillators. The signals are easier to read due to this alternative smoothing mechanism.
The signals are more meaningful and confirmed because they contain contributions from several oscillators and represent their consensus.
In the Candle Mode the MultiOs oscillator is plotted as a candlestick chart. You can apply all sorts of technical analysis to the oscillator candlestick chart, including candlestick patterns analysis. Reversal candlestick patterns in the overbought and oversold zones can give you leading price reversal signals.
We have also included an option to apply the regular smoothing to the MultiOs oscillator. The smoothing feature applies a simple moving average to the oscillator. The Smoothing parameter sets the period of the smoothing moving average.
This feature helps to reduce the number of false trend change signals. But don't forget that smoothing increases the indicator lag. So if you use smoothing, prefer smaller Smoothing parameter values (less than 10). And try to find the optimal tradeoff.
HOW TO USE
Choose which oscillators you would like to include into the mixture, and use the resulting super oscillator as your normal oscillator: forecast price reversals with overbought/oversold conditions and divergences, enter trends with zero line cross signals, detect narrow sideways markets when the oscillator fluctuates in the «gray zone» not going overbought or oversold.
When using this script, please, keep in mind that past results do not necessarily reflect future results and that many factors influence trading results.
SETTINGS
The indicator settings panel allows you to set the parameters that control the calculation and visualization of the indicator. You can also more deeply customize the display of the indicator on the Style tab of the indicator settings panel. This can be useful, for example, to change the colors or make some of the lines brighter.
GLOBAL MODE
Candle Mode - turns on/off the Candle Mode in which the MultiOs oscillator is plotted as a candlestick chart.
MAIN
Oscillator period - sets the oscillator period, which determines the size of the main rolling window, on which all calculations are made.
Smoothing - sets the oscillator smoothing intensity. The value 1 corresponds to the absence of smoothing.
Use Momentum, Use RSI , Use Stochastic , etc. - include/exclude the corresponding oscillator in/from the MultiOs calculation.
DISPLAY
Show MultiOS, Show Momentum, Show RSI , etc. - enable/disable the display of the corresponding oscillator.
Show Zero Line - enables/disables the display of the zero level.
Fibonacci Zone Oscillator With MACD HistogramThe columns
After I found a way to calculate a price as a percent of the middle line of the KeltCOG Channel in the KCGmut indicator (published), I got the idea to use the same trick in the Fbonacci Zone Channel (also published), thus creating an oscillator.
I plot the percent’s as columns with the color of the KeltCOG Channel. Because the channels I created and published (i.e. Fibonacci Zone, Donchian Fibonacci Trading Tool, Keltner Fibzones, and KeltCOG) all use Fibonacci zones, this indicator also reports the position of the close in their zones.
Strategy and Use:
Blue column: Close in uptrend area, 4 supports, 0 resistance, ready to rally up.
Green column: Close in buyers area, 3 supports, 1 resistance, looking up.
Gray column: Close in center area 2 supports, 2 resistances, undecided.
Yellow column: Close in sellers area 1 support, 3 resistances, looking down.
Red column: Close in downtrend area, 0 support, 4 resistances, ready to rally down.
I use this indicator in a layout with three timeframes which I use for stock picking, I pick all stocks with a blue column in every timeframe, the indicator is so clear that I can flip through the 50 charts of my universe of high liquid European blue chips in 15 minutes to make a list of these stocks.
Because I use it in conjunction with KeltCOG I also gave it a ‘script sets lookback’ option which can be checked with a feedback label and switched off in the inputs.
The MACD histogram
I admire the MACD because it is spot on when predicting tops and bottoms. It is also the most sexy indictor in TA. Actually just the histogram is needed, so I don’t show the macd-line and the signal line. I use the same lookback for the slow-ma as for the columns, set the fast-ma to half and the signal-line to a third of the general lookback. Therefore I gave the lookback a minimum value of 6, so the signal gets at least a lookback of 2.
The histogram is plotted three times, first as a whitish area to provide a background, then the colums of the Fibzone Oscillator are plotted, then the histogram as a purple line, which contrasts nicely and then as a hardly visible brown histogram.
The input settings give the option to show columns and histogram separate or together.
Strategy and use:
I think about the columns as showing a ‘longer term chosen momentum’ and about the histogram as a ‘short term power momentum’. I use it as additional information.
Enjoy, Eykpunter.
Pecunia ScreenerPecunia Screener
The screener is specifically built on trend-based algorithms. When certain parameters set by us in the script are fulfilled the indicator displays the symbol of momentum stocks.
The screener screens the momentum stocks & displays the stocks to trade-in at the chosen time frame.
Color Notations:
By default, the screened stocks will be displayed in a blue color box.
Features:
1) Displays the momentum stocks to trade-in
2) Covers the Equity market
3) You can add/remove stocks from the screener as per your convenience by going to the settings of the screener indicator
Before you proceed:
We are not SEBI Registered Analysts and shall not be culpable for any loss incurred directly or indirectly. Our indicator is no holy grail system thus investment in the stock market is a subject of market risk. Investment in stocks, futures, and options trading is not suitable for every trader and involves a considerable risk of loss.
The market may fluctuate, and the user always has a risk of loss, thus, we won’t be liable for any losses incurred while using our indicator, our trading ideas, or our approach.
Volume Based Buy and Sell Momentum by 2tmThis is Volume based Buy and Sell Momentum script.
Basically I'd just adjusted PVI and NVI
But It's easy to understand current Volume trends and Momentums
Thank you and Wish your successful investment.
Volume Momentum [LucF]Volume momentum gives much more information than a simple volume MA. It does require interpretation however, since increasing volume momentum can indicate strengthening of both an up or down movement. Volume momentum peaks and bottoms are also interesting as they often lead to shifts in price movement.
In order to help interpretation, I color rising volume momentum using price momentum. Green indicates volume-supported upward price movement and red indicates volume-supported downward price movement.
As to falling volume momentum, in my world view it indicates exhaustion or disinterest which requires prior price activity to be interpreted. In strong and steady price movements it can indicate a mere pause. After high price volatility often signalling a top or bottom, falling volume momentum often leads reversals.
Features
Two optional MAs on the main volume momentum line, with crosses on the short MA.
A higher time frame line (shown by default), with the higher time frame being a user-defined multiple of the current chart’s interval. The default is 8, so that a 15m chart will also show a 2h volume momentum.
Two Markers
Tops/Bottoms (marker 1): these occur on high/low price momentum pivots situated in favorable regions, combined with volume momentum peaks.
Pauses/Reversals (marker 2): these simply identify volume momentum high pivots that often lead to shifts in price movement. They are not directional. You can choose to color bars where these markers occur (shown on chart).
You can show only long or short markers.
Alerts
You can define alerts on any combination of markers you configure. After defining the markers you want the alert to trigger on, make sure you are on the interval you want the alert to be monitoring at, then create the alert, select Volume Momentum, use the default “Configured Markers” alert condition and choose your triggering window (usually “Once Per Bar Close”). Once the alert is created, you can change the indicator's inputs with no effect on the alert.
Use Cases
The higher time frame line is very useful in situating current volume activity in a larger context.
I consider all peaks in volume momentum as potentially significant events.
When looking for an entry, I will often wait for the descending volume momentum to change direction at a shorter interval, using price momentum to confirm that increasing volume is working in my favor.
Volume momentum variations can often inform otherwise insignificant price momentum activity.
Here I use price momentum to color volume momentum; inversely, I also use volume momentum to color my momentum indicator.
Notes
Where the markers on my Volume Columns indicator focus on confirming strength of price movements, this indicators’ markers try to focus on shifts in price movement.
My volume momentum is calculated using a smoother variant of CCI which came to be known as WaveTrend.
Valley Range SystemUsing RSI
I use a system that helps judge momentum based on price action and rsi
based on plots
cyan is bull
yellow is bear
cross over technique is used
when 3 lines cross over or under, and you get two confirmed momentum signals in a row thats a confirmed entry long or short
to close you want two or three momentum signals opposing your trade
to flip trade all 3 lines must cross and the 2 flash momentum check is given
bullish and bearish divergence also work so use them to aid the strength of the move.
@satoshiiheavy
market analyst for www.cryptocurrentlyvip.com
Silk Indicator (H4 & D1) : VWMA Flow vs EMA // BB vs Dev. St.RSIPictured as a Momentum Indicator, it shines best on the H4 and the D1.
A combination of VWMA, EMA's, BB, Stochastic RSI, the Kijun (Doubled Ichimoku Cloud), William's Fractals ('.') and too many Standard Deviations.
Simple Strategy:
Center Blue: Long
Center Red: Short
The center of the BB can help understand the market's momentum and its strength.
Please be advised, this indicator will only be free for a limited time.
Silk Indicator (H4 & D1) : VWMA Flow vs EMA // BB vs Dev. St.RSIPictured as a Momentum Indicator, it shines best on the H4 and the D1.
A combination of VWMA, EMA's, BB, Stochastic RSI, the Kijun (Doubled Ichimoku Cloud), William's Fractals ('.') and too many Standard Deviations.
Simple Strategy:
Center Blue: Long
Center Red: Short
The center of the BB can help understand the market's momentum and its strength.
Please be advised, this indicator will only be free for a limited time.
TRIX Histogram R1-12 by JustUncleLCreated by request.
Description:
This study is an implementation of the Standard TRIX indicator (a momentum oscillator), shown in coloured histogram format by default, with optional Bar colouring of TRIX zero cross overs. Other options include showing TRIX as a line graph instead of histogram and an optional TRIX signal line with difference histogram (to highlight signal line crosses).
References:
forex-indicators.net
"TRIX MA" by munkeefonix
