Dekkapok Premium Prices and EMA360 [Clean Ver.]Overview:
The EMA360 Premium Levels indicator is designed to help traders identify key price levels above the EMA360 (Exponential Moving Average) on a daily timeframe. These levels, referred to as "premium levels" are calculated as multiples of the EMA360 and can act as potential resistance or support zones for price action analysis.
Features:
EMA360 Calculation:
The script calculates the EMA360 using the daily timeframe (or any user-specified timeframe).
EMA360 is plotted as a bold blue line for clear visibility.
Premium Levels:
Multiple levels above the EMA360 are plotted as horizontal green lines.
These levels are calculated by multiplying the EMA360 value by user-defined multipliers (e.g., 1.2x, 1.3x, etc.).
Premium levels can help identify overbought or extended price zones relative to EMA360.
Customizable Inputs:
EMA Length: Default is set to 360, but users can adjust the EMA length as needed.
Timeframe: EMA360 is calculated using the daily timeframe by default, but any timeframe can be selected.
Multipliers: Traders can input their desired multipliers (e.g., 1.2, 1.3, 1.5) as a comma-separated list.
Clean Visualization:
EMA360 and premium levels are plotted directly on the price chart for intuitive analysis.
Premium level lines are semi-transparent green to minimize clutter while maintaining focus on critical levels.
Use Cases:
Trend Analysis: Use the EMA360 to identify the broader market trend. Prices above the EMA360 generally indicate an uptrend, while prices below may indicate a downtrend.
Overextension Zones: Premium levels help traders identify zones where the price may be overbought or overextended relative to EMA360.
Dynamic Support/Resistance: The premium levels can act as dynamic resistance zones during uptrends and support zones during pullbacks.
How to Use:
Apply the indicator to your chart in TradingView.
Observe the EMA360 line to understand the market trend.
Use the green premium level lines to identify potential resistance zones as the price moves above the EMA360.
Customization Options:
Adjust the EMA Length and Timeframe to match your trading style.
Modify the Premium Multipliers to suit your market analysis needs (e.g., add or reduce levels like 1.1x, 1.8x, etc.).
This indicator is especially useful for trend-following traders who want to leverage EMA-based levels for strategic decision-making.
- Dekkapok
Moving Averages
ueuito Custom Moving Averages and VWMA TrendDescription in English:
is a customizable indicator that combines multiple technical analysis tools to identify market trends and buy/sell signals. It integrates moving averages (including VWMA), RSI, MACD, and various configurable levels, providing detailed visual analysis on the chart.
Key Features:
Customizable Moving Averages:
Supports SMA, EMA, WMA, VWMA, and RMA.
Allows for customizing the period and displaying up to two moving averages simultaneously.
VWMA with RSI Indication:
VWMA changes color based on RSI conditions:
Overbought color when RSI exceeds a configurable level.
Oversold color when RSI drops below a configurable level.
MACD and Crossovers:
Detects MACD crossovers with the signal line and highlights them on the chart.
Includes visual indicators to mark key moments of MACD rising or falling.
Overbought/Oversold Signals:
Adds visual markers when RSI exceeds user-defined levels (overbought or oversold).
MACD Level Indicators:
Displays specific values on the chart when MACD reaches predefined levels, with color adjustments based on trend direction.
Advanced Configurations:
Configurable parameters for vertical offset, label colors, and alert levels.
Provides flexibility to tailor the indicator’s appearance and behavior.
Still improving...
4EMAs+OpenHrs+FOMC+CPIThis script displays 4 custom EMAs of your choice based on the Pine script standard ema function.
Additionally the following events are shown
1. Opening hours for New York Stock exchange
2. Opening Time for London Stock exchange
3. US CPI Release Dates
4. FOMC press conference dates
5. FOMC meeting minutes release dates
I have currently added FOMC and CPI Dates for 2025 but will keep updating in January of every year (at least as long as I stay in the game :D)
Combined Multi-Timeframe EMA OscillatorThis script aims to visualize the strength of bullish or bearish trends by utilizing a mix of 200 EMA across multiple timeframes. I've observed that when the multi-timeframe 200 EMA ribbon is aligned and expanding, the uptrend usually lasts longer and is safer to enter at a pullback for trend continuation. Similarly, when the bands are expanding in reverse order, the downtrend holds longer, making it easier to sell the pullbacks.
In this script, I apply a purely empirical and experimental method: a) Ranking the position of each of the above EMAs and turning it into an oscillator. b) Taking each 200 EMA on separate timeframes, turning it into a stochastic-like oscillator, and then averaging them to compute an overall stochastic.
To filter a bullish signal, I use the bullish crossover between these two aggregated oscillators (default: yellow and blue on the chart) which also plots a green shadow area on the screen and I look for buy opportunities/ ignore sell opportunities while this signal is bullish. Similarly, a bearish crossover gives us a bearish signal which also plots a red shadow area on the screen and I only look for sell opportunities/ ignore any buy opportunities while this signal is bearish.
Note that directly buying the signal as it prints can lead to suboptimal entries. The idea behind the above is that these crossovers point on average to a stronger trend; however, a trade should be initiated on the pullbacks with confirmation from momentum and volume indicators and in confluence with key areas of support and resistance and risk management should be used in order to protect your position.
Disclaimer: This script does not constitute certified financial advice, the current work is purely experimental, use at your own discretion.
LevelUp^ Minervini Trend Template ScreenerThe Minervini Trend Template is a stock screener based on the work of Mark Minervini, a two-time winner of the U.S. Investing Championship. The goal is to identify stocks that are in strong uptrends.
Historical analysis demonstrates that nearly all of the highest performing stocks exhibited a strong uptrend prior to making significant advances. Based on Mark's research, 99% of these stocks were trading above their 200-day simple moving average, and 96% were above their 50-day simple moving average, prior to becoming true market leaders.
🔹 Minervini Trend Template Requirements
✓ Price is above the 150-SMA and 200-SMA.
✓ 150-SMA is above the 200-SMA.
✓ 200-SMA is trending up for at least one month.
✓ 50-SMA is above the 150-SMA and the 200-SMA.
✓ Price is above the 50-SMA.
✓ Price is within 25% of the 52-week high.
✓ Price is 30%+ above the 52-week low.
🔹 Screening Features - Setting Your Search Criteria
There are various search options that can be customized.
▪ Symbol Type
The screener supports all equity types from stocks to ETFs to crypto. You can narrow the scope of your search by choosing only the symbol types of interest.
▪ Percent Change - Weekly, Monthly and YTD
Further narrow your search by specifying minimum percent changes on a weekly, monthly and/or year-to-date basis.
▪ Distance From 52-Week High
The screener looks for stocks within 25% of their 52-week high, as defined by Mark's Trend Template. You can further tighten this criteria by specifying a smaller percentage, for example, search for stocks within 5% of their 52-week high.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
🔹 Note
The Trend Template as originally defined by Mark included an RS Rating based on a proprietary calculation from Investor's Business Daily. My preference in technical analysis and screening is to only use tools and calculations that can be researched and verified. There is no RS Rating requirement in this screener. All the other Trend Template requirements are included.
Risk-Adjusted Trend IndicatorThe Risk-Adjusted Trend Indicator is a comprehensive tool designed to evaluate market trends while factoring in risk levels. By combining trend strength, volatility, and dynamic scaling, this indicator provides traders with clear, actionable signals for optimal entries and exits. Its focus on risk-adjusted metrics ensures that signals are both reliable and contextually informed by prevailing market conditions.
Key Features:
1. Exponential Moving Average (EMA):
• The EMA serves as the foundation for trend detection, offering a smoothed representation of price movement over a user-defined period.
• Aids in distinguishing bullish and bearish trends effectively.
2. Average True Range (ATR):
• ATR is used to gauge market volatility, ensuring that the indicator adapts to changing market conditions.
• Facilitates the normalization of trend strength relative to current market volatility.
3. Risk-Adjusted Trend Score:
• Computes the difference between the price and EMA and normalizes it using the ATR to account for risk.
• This metric allows traders to focus on trends with favorable risk-reward ratios, filtering out weak or high-risk setups.
4. Dynamic Scaling:
• Adjusts the risk-adjusted score to fit within the chart’s price range, making the visualization intuitive and easy to interpret.
5. Buy/Sell Signals:
• Buy signals are triggered when the risk-adjusted score crosses above a positive threshold.
• Sell signals are triggered when the score crosses below a negative threshold.
• Signals are plotted directly on the chart with intuitive markers for quick decision-making.
6. Background Color Zones:
• Highlights bullish and bearish trend zones using subtle background shading, enhancing visual clarity.
Reason for Combining These Elements
The Risk-Adjusted Trend Indicator blends elements of trend analysis, volatility measurement, and risk assessment to address a fundamental challenge in trading: identifying high-confidence trades that align with a trader’s risk tolerance. Here’s why these components were chosen and how they work together:
1. EMA (Trend Detection):
• Provides a reliable baseline for trend direction, ensuring that the indicator aligns with the market’s prevailing trend.
2. ATR (Volatility Normalization):
• Adjusts trend strength calculations based on market volatility, allowing the indicator to adapt to varying market conditions and avoid false signals in high-volatility environments.
3. Risk-Adjusted Score:
• By factoring in both trend strength and volatility, this score ensures that only trends with favorable risk-reward dynamics are highlighted.
• This approach minimizes overtrading and reduces exposure to high-risk setups.
4. Dynamic Scaling:
• Ensures that the indicator’s outputs remain visually accessible, regardless of the asset or timeframe being analyzed.
• Enhances usability by aligning the score with price action on the chart.
5. Visual Aids (Signals and Background Zones):
• The inclusion of visual signals and background zones simplifies decision-making, making the tool suitable for both novice and experienced traders.
DEMA RIBBONDouble EMA ribbon indicator -
Best used for Short Term trade entry and exit
This consists of 3 Double EMAs - 10,21 & 50 for better trade.
Trend Force Meter | JeffreyTimmermansTrend Force Meter
The "Trend Force Meter" is an innovative trading tool designed to visualize trend strength and provide precise signals for identifying market dynamics. By combining the Hull Moving Average (HMA) with the Simple Moving Average (SMA), it delivers a comprehensive analysis of trend forces and directions. With customizable smoothing, low-pass filtering, and an advanced color-coded display, this indicator is a valuable addition to any trader's toolkit.
Overview
The Trend Force Meter uses a unique approach to trend analysis by calculating the difference between smoothed HMA and SMA values. This difference is normalized and converted into a visually intuitive gradient to represent bullish and bearish conditions. The indicator also incorporates features for noise reduction and enhanced visualization.
Key Features
Dual Moving Averages
Hull Moving Average (HMA): Provides a highly responsive measure of trend direction and strength.
Simple Moving Average (SMA): Offers a stable and reliable long-term trend baseline.
Customizable Smoothing
Enable/Disable Smoothing: Adjust the sensitivity of the HMA and SMA calculations.
Smoothing Length: Fine-tune the smoothing parameters to match your trading style, balancing between responsiveness and stability.
Low-Pass Filtering
Noise Reduction: Optional low-pass filter reduces market noise, providing clearer trend signals.
Filter Length: Adjustable parameter for fine control over the noise reduction level.
Gradient-Based Visualization
Dynamic Color Coding: Bullish trends are displayed in shades of green, while bearish trends appear in shades of red, providing immediate visual clarity.
Strength Meter: A gradient-based strength meter quantifies the intensity of the current trend, from weak to strong.
Trend Strength Normalization
Normalizes trend strength over a configurable period, ensuring consistent and meaningful readings across various market conditions.
Alerts
Bullish Trend Alert: Notifies when the trend transitions to a bullish phase.
Bearish Trend Alert : Signals when the trend turns bearish.
Enhanced Functionality
Trend Strength Gauge
Displays a real-time strength gauge that visualizes the trend intensity, allowing traders to assess the market at a glance.
Automatically adjusts to reflect normalized trend values, ensuring accuracy across different timeframes and volatility conditions.
Visual Gradient
A refined gradient coloring system dynamically adjusts based on trend direction and intensity, enabling traders to easily interpret market sentiment.
Advanced Customization
Length Settings: Fine-tune HMA and SMA lengths to match specific trading strategies.
Smoothing Options: Toggle smoothing and low-pass filtering on or off as needed.
Gradient Color Range: Provides flexible options for customizing the visual display.
Use Cases
Trend Analysis: Quickly identify the direction and strength of market trends to make informed trading decisions.
Momentum Confirmation : Use the gradient and strength meter to validate potential breakout or reversal scenarios.
Noise Reduction: Employ the low-pass filter to focus on meaningful trends while ignoring short-term market fluctuations.
How It Works
Calculate HMA and SMA: The indicator computes smoothed HMA and SMA values.
Difference Extraction: The difference between the smoothed HMA and SMA forms the core trend signal.
Optional Filtering: Low-pass filtering reduces noise, enhancing the clarity of trend signals.
Normalization: The difference is normalized over the selected period, ensuring consistent scaling.
Visualization: A color-coded gradient and trend strength gauge display the trend’s intensity and direction.
Customization Options
MA Lengths: Adjust the calculation periods for HMA and SMA.
Smoothing and Filtering: Enable or disable smoothing and filtering to refine the signal output.
Color Palette: Choose custom colors to align with personal preferences or trading environments.
Conclusion
The Trend Force Meter is an invaluable addition to any trader’s toolkit, combining cutting-edge techniques with intuitive visuals to make trend analysis more accessible and actionable. Its flexibility and precision cater to various trading strategies, ensuring traders stay ahead of market movements.
This script is inspired by "VanHels1ng" . However, it is more advanced and includes additional features and options.
-Jeffrey
Ultra Disparity IndexGain insights into price movements across multiple timeframes with the Ultra Disparity Index . This indicator highlights overbought/oversold levels based on price disparities from moving averages.
Introduction
The Ultra Disparity Index is designed for traders who seek a deeper understanding of price movements and trends across various timeframes. By analyzing the disparity between the current price and its moving averages, the indicator helps identify overbought and oversold conditions.
Detailed Description
The indicator works by calculating the percentage difference between the current price and its moving averages over four user-defined lengths. It operates on multiple timeframes monthly, weekly, daily, 4-hour, and 1-hour giving traders a comprehensive view of market dynamics.
.........
Disparity Calculation
The indicator computes how far the current price is from moving averages to reveal the degree of disparity.
.....
Overbought/Oversold Zones
By normalizing disparities into percentages relative to the overbought/oversold range, the indicator represents overbought (100%) and oversold (-100%).
.....
Timeframe Flexibility
The user can visualize data from monthly to hourly intervals, ensuring adaptability to different trading strategies.
.....
Customizable Inputs
Users can configure moving average lengths and toggle visibility for specific timeframes and levels.
.........
Summary
The indicator uses simple moving averages (SMAs) as a benchmark for calculating disparity. This disparity is then analyzed using statistical tools, such as standard deviation, to derive meaningful levels. Finally, the results are visualized in a table, providing traders with an easy-to-read summary of disparity values and their respective normalized percentages.
Customizable MTF Multiple Moving AveragesTitle:
Customizable Multiple Moving Averages with Dynamic Colors
Description:
This script allows you to calculate up to three customizable moving averages, offering the flexibility to choose from multiple moving average types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
SMMA (Smoothed Moving Average)
Key Features:
Separate Timeframe for Each Moving Average:
Each moving average can be calculated on a different timeframe. For instance, you can display a 1D moving average while working on a 4H chart.
Dynamic Colors:
Moving averages dynamically change color based on their trend:
Uptrend Color: When the moving average is increasing compared to the previous bar of its timeframe.
Downtrend Color: When the moving average is decreasing.
Full Customization:
Length: Adjust the period for each moving average.
Source: Choose any price data source (e.g., close, open, high, low).
Colors: Set custom colors for uptrend and downtrend behavior.
Perfect For:
Multi-Timeframe Trend Analysis:
Observe trends from higher timeframes without switching your current chart.
Crossover Strategies:
Combine multiple moving averages to identify entry and exit signals.
How to Use:
Load the Script: Apply it to your chart.
Configure Inputs: Adjust each moving average's settings from the input panel.
Analyze Trends: Visualize dynamic trend movements with easy-to-identify colors.
Example Configuration:
Set MA1 to a 50-period EMA on a 4H timeframe.
Set MA2 to a 100-period SMMA on a 1D timeframe.
Set MA3 to a 200-period VWMA on a 1W timeframe.
SuperTrend Oscillator# SuperTrend Oscillator - User Guide
## Chapter 1: Introduction
The SuperTrend Oscillator is a versatile and powerful indicator designed to assist traders in identifying market trends, reversals, and momentum. This indicator leverages complex calculations and smoothing techniques to provide actionable signals. The SuperTrend Oscillator can be used for intraday, swing, and positional trading, making it suitable for various market conditions and trading styles.
## Chapter 2: Calculations Overview
The SuperTrend Oscillator relies on a combination of:
Trend Strength : Calculated using a weighted summation of price deviations over short and long periods.
Bull and Bear Lines : Derived from the typical price and smoothed using EMA to highlight underlying market trends.
Signal Lines : The crossing of trend lines and EMAs identifies potential entry and exit points.
### Key Elements:
- Typical Price : An average of open, high, low, and close prices.
- Lowest Low and Highest High **: Identified over specific periods to normalize the oscillator values.
- Exponential Moving Averages (EMA) : Smoothing techniques to reduce noise and improve trend clarity.
- Threshold Levels : Critical levels (e.g., 25, 75) are used to identify oversold and overbought conditions.
## Chapter 3: Oscillator Visualization
The SuperTrend Oscillator plots two main components:
Bull and Bear Lines : Represent short-term and long-term trends.
EMA Crossovers : Highlight shifts in market momentum.
### Candle Width and Color:
- Yellow Candles : Indicate a bullish phase in the short-term trend.
- Fuchsia Candles : Indicate a bearish phase in the short-term trend.
- Green Candles : Signal an uptrend in the long-term trend.
- Red Candles : Signal a downtrend in the long-term trend.
NB: The width of the oscillator candles reflects the strength of the trend, with wider candles indicating stronger trends.
## Chapter 4: Signal Generation
### Entry Signals:
- ** Fast Buy Signal **: Occurs when:
- The short-term trend transitions from bearish (fuchsia) to bullish (yellow).
- The short-term bull line is below 40.
- The long-term bull line is above 50.
- Accumulation/distribution signals are positive.
- ** Fast Sell Signal **: Occurs when:
- The short-term trend transitions from bullish (yellow) to bearish (fuchsia).
- The short-term bull line is above 60.
- The long-term bull line is below 45.
- Accumulation/distribution signals are negative.
### Exit Signals:
- ** Super Long Exit / Short Entry **: Triggered when:
- Both the short-term and long-term trends indicate overbought conditions (bull line > 75).
- Crossunder between trend and bull lines.
- ** Super Short Exit / Long Entry **: Triggered when:
- Both the short-term and long-term trends indicate oversold conditions (bull line < 25).
- Crossover between trend and bull lines.
## Chapter 5 : Trading Strategies
### Trend Following:
1. ** Identify the Trend **:
- Use the color and slope of the oscillator candles.
- Green and yellow candles indicate an uptrend; red and fuchsia candles indicate a downtrend.
2. ** Enter Trades **:
- Look for fast buy signals in an uptrend and fast sell signals in a downtrend.
3. ** Exit Trades **:
- Use super exit signals to close positions.
### Range Trading:
1. ** Identify Ranges **:
- Monitor bull and bear lines oscillating within 25 to 75.
2. ** Enter Trades **:
- Buy near oversold conditions (bull line < 25).
- Sell near overbought conditions (bull line > 75).
### Divergence Trading:
1. ** Identify Divergence **:
- Compare the oscillator with price action.
2. ** Enter Trades **:
- Buy when the price makes a lower low, but the oscillator makes a higher low.
- Sell when the price makes a higher high, but the oscillator makes a lower high.
## Chapter 6: Alerts
The SuperTrend Oscillator includes built-in alerts for:
1. **Super Long**: When both short-term and long-term entry signals align.
2. **BankEntry Long**: When either short-term or long-term entry signals are triggered.
3. **Super Short**: When both short-term and long-term exit signals align.
4. **BankExit Short**: When either short-term or long-term exit signals are triggered.
### Setting Alerts:
To enable alerts, use the alert messages included in the script. These alerts provide timely notifications for trade entries and exits.
## Chapter 7: How to Use
1. **Add the Indicator**:
- Apply the SuperTrend Oscillator to your chart.
2. **Monitor Signals**:
- Use visual cues (colors and shapes) to identify trade opportunities.
3. **Set Alerts**:
- Configure alerts to receive notifications.
### Example Use Case:
- For intraday trading, set the oscillator to shorter periods for quicker signals.
- For swing trading, use longer periods to reduce noise and capture broader trends.
## Chapter 8: Disclaimer
The SuperTrend Oscillator is a tool to aid trading decisions and does not guarantee profits. Always combine it with risk management and other analysis techniques to ensure a comprehensive trading strategy.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
200WMA ScreenerDescription:
This custom indicator helps identify stocks trading below their 200-week moving average (200WMA), a key technical indicator often used to analyze long-term trends. The script calculates the 200WMA using weekly close prices and provides the following features:
Visual Plot: Displays the 200WMA as a smooth line on the chart for easy trend analysis.
Background Highlight: Automatically highlights the chart background when the current price is below the 200WMA, signaling a potential bearish trend or undervalued stock.
Alert System: Includes an alert condition to notify you when a stock trades below its 200WMA, so you never miss an opportunity.
Compatibility: Works across all assets (stocks, forex, crypto) and automatically adapts to the selected ticker.
This script is ideal for traders and investors looking for long-term opportunities, identifying potential trend reversals, or spotting undervalued stocks.
2 MA Simplified Sideways Candle ColorsHow to Use the Indicator: A Simple Guide
This custom indicator colors candlesticks to help you quickly identify market conditions based on two moving averages (9-period and 21-period). Here’s how to get started:
Add the Indicator to Your Chart:
Copy the provided Pine Script code.
Open TradingView and navigate to the Pine Editor.
Paste the code into a new script, save it, and then add the indicator to your chart.
Understand the Candlestick Colors:
Green Candles (Bullish):
Indicates a bullish market when the price is above the 9-period SMA and the 9 SMA is above the 21 SMA.
Red Candles (Bearish):
Indicates a bearish market when the price is below the 21-period SMA and the 9 SMA is below the 21 SMA.
Yellow Candles (Sideways):
Indicates a sideways (neutral) market when:
Condition 1: Price is below the 9 SMA but above the 21 SMA, with the 9 SMA above the 21 SMA, or
Condition 2: The 9 SMA is below the 21 SMA, and the price lies between them.
White Candles (No Clear Signal):
Used when none of the above conditions apply.
Interpreting the Signals:
When you see green candles, the market is showing bullish momentum.
When you see red candles, bearish pressure is dominant.
Yellow candles suggest the market is moving sideways without a strong trend.
White candles mean that none of the specific conditions (bullish, bearish, or sideways) are currently met.
Chart Reference:
The script also plots two moving averages on your chart (a blue line for the 9-period SMA and an orange line for the 21-period SMA). These lines help visualize how price interacts with these averages.
Using the Indicator in Practice:
Once added to your chart, monitor the color of the candlesticks:
Green signals may be opportunities to consider long positions.
Red signals may indicate a good time to consider short positions or tighten stops.
Yellow signals suggest caution as the market isn’t trending strongly.
White candles indicate no strong signal, so it might be a period of consolidation or indecision.
This simple visual cue system allows you to quickly assess market sentiment and make more informed trading decisions based on the relationship between price and the two moving averages.
PGO For Loop | mad_tiger_slayerPGO For Loop Indicator
The PGO For Loop indicator, inspired by Alex Orekhov's "Pretty Good Oscillator," and indicator originally made by Mark Johnson, the PGO designed as a fast and responsive tool to capture quick price movements in financial markets. This oscillator leverages a combination of moving averages and Average True Range (ATR) to measure price deviations, providing a concise yet powerful framework for identifying potential trade entry and exit points. What makes this
"enhanced" PGO indicator special is its ability to identify trending periods more accurately. By using thresholds, this allows the script to enter accurate long and short conditions extremely quickly.
Intended Uses:
Used to capture long-term trends:
Used to identify quick reversals:
Used on higher timeframes above 8hrs for more accurate signals
Used in strategies to enter and exit trades quickly
Can be used for Scalping
NOT Intended Uses:
Not to be used as Mean Reversion
Not to be used as valuation (Overbought or Oversold)
Key Features:
Quick Detection of Market Movements:
The indicator's primary focus is on speed, making it suitable for medium-term traders looking to capitalize on rapid price changes. It is particularly effective in trending or volatile markets.
Customizable Thresholds:
Users can set upper and lower thresholds to define long and short conditions, offering flexibility to adapt the indicator to different trading styles and asset classes.
Noisy but Purposeful:
While the PGO For Loop may generate frequent signals, it is specifically tuned for traders aiming to enter and exit trades quickly, embracing the noise as part of its effectiveness in capturing rapid market dynamics.
Integrated Visuals:
The script plots key levels and provides dynamic visual feedback through colored candles and shapes, enabling intuitive and quick decision-making.
How It Works:
Oscillator Calculation:
The PGO value is derived by comparing the source price's deviation from its moving average to the ATR. This highlights price movements relative to recent volatility.
Signal Identification:
When the oscillator exceeds the upper threshold, it signals potential long opportunities UNTIL the PGO reaches the lower threshold.
When the oscillator drops below the lower threshold, it signals potential short opportunities UNTIL the oscillator reaches above the upper threshold.
No signals occur when the oscillator lies between these thresholds.
Visual Cues:
Color-coded candles indicate market bias (green for long, red for short, gray for neutral).
Upward and downward triangles highlight changes in signal direction.
Note:
This indicator is intentionally "noisy," as it prioritizes capturing fast movements over filtering out minor fluctuations. Users should pair it with other tools or techniques to confirm signals and manage risk effectively.
PENTAD THEORY 30 MINUTE INITIAL BALANCE With Candle HighlightThis indicator is designed to highlight the 30-minute initial balance range, visualize key retracement levels, and provide insights into market behavior based on defined conditions. It also enhances clarity by applying specific color changes to the :06 and :36 minute candle in relative 30-minute intervals.
Key Features:
Initial Balance Box:
Automatically creates a price range (box) representing the first 6 minutes of each 30-minute interval.
The box dynamically updates during this period to capture the high and low prices.
Color-Coded Zones:
Inside the Box: Yellow background indicates price trading within the range.
Above the Box: Green background shows price breaking above the range.
Below the Box: Red background reflects price breaking below the range.
EMA Overlay:
Plots 3 customizable EMAs (default lengths: 9, 21, 55).
Each EMA can be toggled on/off and colored individually for trend analysis.
Retracement Levels:
Automatically calculates and displays key Fibonacci retracement levels (61.8% and 38.2%) based on the box size.
Adds a midline for additional price reference.
Candle Highlighting:
The :06 and :36 minute candle in relative 30-minute intervals is highlighted with a customizable blue color to draw attention to specific market activity.
The break above or below the 6 minute candle or the close of the 6 minute candle outside the box can help determine the direction of the 30-minute interval.
How to Use:
Trend Confirmation:
Use the EMAs to identify overall trend direction. For example, a bullish trend is indicated when shorter EMAs (e.g., 9 EMA) are above longer ones (e.g., 55 EMA).
Breakout and Retracement Analysis:
Watch for price breaking out of the initial balance box.
Observe retracement levels (61.8% and 38.2%) as potential areas for reversal or continuation.
Candle Highlight:
Pay special attention to the :06 or :36 minute candle, which is highlighted to signify its relevance in the relative 30-minute cycle.
Customization:
Adjust colors and EMA settings via the input menu to align with your trading style and chart aesthetics.
Ideal For:
Intraday traders looking to analyze initial balance ranges.
Traders focused on breakout, retracement, and trend-following strategies.
Those who benefit from visual clarity and real-time market insights.
Notes:
Ensure your chart is set to a 3-minute timeframe or lower for optimal performance.
This indicator is most effective when combined with other confluence factors, such as support/resistance zones and volume analysis.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
L.I.F.T. - Legaci Index Flow TrackerL.I.F.T. - Legaci Index Flow Tracker
The 'Legaci Index Flow Tracker' is a cutting-edge tool designed for traders and analysts who want to gain unparalleled insight into the strength and momentum of key market indices. This innovative indicator evaluates the relationship between 13 customisable indices and their respective Simple Moving Averages (SMAs), along with the slopes of those SMAs, to deliver a comprehensive market sentiment analysis.
Key Features:
Dynamic Scoring System :
Each index is evaluated across four categories, assigning a score of +1 (bullish) or -1 (bearish) based on price action and momentum.
Intuitive Table Display :
Scores for each index are presented in an easy-to-read table, highlighting:
The index ticker.
Individual scores for the 4 categories (price vs. SMA and slope).
A Final Score summarising the overall strength or weakness of each index.
Customisable Parameters :
Timeframe : Adapt to short-term, mid-term, or long-term trading strategies.
Lookback Period : Fine-tune slope calculations to capture precise market trends.
SMA Lengths : Adjust the moving average lengths to align with your trading methodology.
Index Selection : Choose from the 13 default indices or customise them to track your preferred market segments.
Why use the "L.I.F.T."?
This indicator is perfect for traders seeking a big-picture overview of market flow across multiple indices while maintaining the flexibility to drill down into specific trends. By tracking price action, SMA relationships, and momentum slopes in a unified framework, the Legaci Index Flow Tracker helps you:
Identify market trends at a glance.
Pinpoint the strongest and weakest indices in any timeframe.
Stay ahead of market shifts with actionable insights.
Whether you’re a day trader or a long-term strategist, the indicator is an essential addition to your toolkit, providing you with the clarity and precision needed to navigate today’s complex markets.
Adaptive Moving Averagewhat is the purpose of the indicator?
When short-length moving averages are used as trailing stops, they cause exiting the trade too early. Keeping the length value too high will result in exiting the transaction too late and losing most of the profits earned. I aimed to prevent this problem with this indicator.
what is "Adaptive Moving Average"?
it is a moving average that can change its length on each candle depending on the selected source.
what it does?
The indicator first finds the average lengths of the existing candles and defines different distances accordingly. When the moving average drawn by the indicator enters the area defined as "far" by the indicator, the indicator reduces the length of the moving average, preventing it from moving too far from the price, and continues to do so at different rates until the moving average gets close enough to the price. If the moving average gets close enough to the price, it starts to increase the length of the average and thus the adaptation continues.
how it does it?
Since the change of each trading pair is different in percentage terms, I chose to base the average height of the candles instead of using constant percentage values to define the concept of "far". While doing this, I used a weighted moving average so that the system could quickly adapt to the latest changes (you can see it on line 17). After calculating what percentage of the moving average this value is, I caused the length of the moving average to change in each bar depending on the multiples of this percentage value that the price moved away from the average (look at line 20, 21 and 22). Finally, I created a new moving average using this new length value I obtained.
how to use it?
Although the indicator chooses its own length, we have some inputs to customize it. First of all, we can choose which source we will use the moving average on. The "source" input allows us to use it with other indicators.
"max length" and "min length" determine the maximum and minimum value that the length of the moving average can take.
Apart from this, there are options for you to add a standard moving average to the chart so that you can compare the adaptive moving average, and bollinger band channels that you can use to create different strategies.
This indicator was developed due to the need for a more sophisticated trailing stop, but once you understand how it works, it is completely up to you to combine it with other indicators and create different strategies.
[Sapphire] JetStream (SWMA + Laguerre Filter)A Dynamic Fusion of Sine Weighted Moving Average and Laguerre Filter
The JetStream Indicator is a versatile tool that combines the Sine Weighted Moving Average (SWMA) and the Laguerre Filter. This can be used to dynamically visualize price movements overtime.
Core Components:
Sine Weighted Moving Average (SWMA):
The SWMA applies sine-weighted coefficients to recent price values, producing a responsive moving average that adapts to market conditions.
The plotted SWMA line changes its color based on directional movement:
Cyan: Upward trend.
Gray: Downward trend.
The sensitivity of the SWMA is controlled via the SWMA Length input, allowing users to fine-tune its responsiveness to price changes.
Laguerre Filter:
The Laguerre Filter uses recursive smoothing techniques to extract meaningful trends while minimizing lag.
The filter line dynamically changes color:
Blue: Upward momentum.
White: Downward momentum.
The Laguerre Alpha parameter adjusts the filter's smoothing intensity, giving users control over its reaction to price fluctuations.
Bar Repainting:
The bar coloring feature adds another layer of visualization by dynamically altering bar colors based on the interaction between the SWMA and Laguerre Filter:
White: Both SWMA and Laguerre Filter are trending upward.
Teal: Both SWMA and Laguerre Filter are trending downward.
Cyan: Divergence between the two (one trending upward, the other downward).
MADĀlgo_Guppy IndicatorThe Guppy Multiple Moving Average (GMMA) is a technical indicator that aims to anticipate a potential breakout in the price of an asset. The term gets its name from Daryl Guppy, an Australian financial columnist and book author who developed the concept in his book, "Trading Tactics."
The GMMA uses the exponential moving average (EMA) to capture the difference between price and value in a stock. A convergence in these factors is associated with a significant trend change. Guppy maintains that the GMMA is not a lagging indicator but a prior warning of a developing change in price and value.
Ref: www.investopedia.com
OHOL_VWAP_STIts all about OH and OL concept for Nifty Future.
1.When OH candle formed and breaks the high we can enter the position, candle should be below supertrend , moving average and vwap .
2..When OL candle formed and breaks the high we can enter the position, candle should be above supertrend , moving average and vwap .
SOPR | QuantumResearchIntroducing Rocheur’s SOPR Indicator
The Spent Output Profit Ratio (SOPR) indicator by Rocheur is a powerful tool designed for analyzing Bitcoin market dynamics using on-chain data. By leveraging SOPR data and smoothing it through short- and long-term moving averages, this indicator provides traders with valuable insights into market behavior, helping them identify trends, reversals, and potential trading opportunities.
Understanding SOPR and Its Role in Trading
SOPR is a metric derived from on-chain data that measures the profit or loss of spent outputs on the Bitcoin network. It reflects the behavior of market participants based on the price at which Bitcoin was last moved. When SOPR is above 1, it indicates that outputs are being spent at a profit. Conversely, values below 1 suggest that outputs are being spent at a loss.
Rocheur’s SOPR indicator enhances this raw data by incorporating short-term and long-term smoothed trends, allowing traders to observe shifts in market sentiment and momentum.
How It Works
Data Source: The indicator uses SOPR data from Glassnode’s BTC_SOPR metric, updated daily.
Short-Term Trend (STH SOPR):
A Double Exponential Moving Average (DEMA) is applied over a customizable short-term length (default: 150 days).
This reflects recent market participant behavior.
Long-Term Trend (1-Year SOPR):
A Weighted Moving Average (WMA) is applied over a customizable long-term length (default: 365 days).
This captures broader market trends and investor behavior.
Trend Comparison:
Bullish Market: When STH SOPR exceeds the 1-year SOPR, the market is considered bullish.
Bearish Market: When STH SOPR falls below the 1-year SOPR, the market is considered bearish.
Neutral Market: When the two values are equal, the market is neutral.
Visual Representation
The indicator provides a color-coded visual representation for easy trend identification:
Green Bars: Indicate a bullish market where STH SOPR is above the 1-year SOPR.
Red Bars: Represent a bearish market where STH SOPR is below the 1-year SOPR.
Gray Bars: Show a neutral market condition where STH SOPR equals the 1-year SOPR.
The dynamic bar coloring allows traders to quickly assess the prevailing market sentiment and adjust their strategies accordingly.
Customization & Parameters
The SOPR Indicator offers several customizable settings to adapt to different trading styles and preferences:
Short-Term Length: Default set to 150 days, defines the smoothing period for the STH SOPR .
Long-Term Length: Default set to 365 days, defines the smoothing period for the 1-year SOPR.
Color Modes: Choose from seven distinct color schemes to personalize the indicator’s appearance.
Final Note
Rocheur’s SOPR Indicator is a unique tool that combines on-chain data with technical analysis to provide actionable insights for Bitcoin traders. Its ability to blend short- and long-term trends with a visually intuitive interface makes it an invaluable resource for navigating market dynamics. As with all indicators, backtesting and integration into a comprehensive strategy are essential for optimizing performance.
