Previous Day LevelsThis indicator plots the previous day's high, low, and 50% levels, providing a framework for analyzing price behavior relative to these key levels.
Full Description:
The Previous Day Levels indicator is a tool designed to help traders analyze price action based on key levels from the previous trading session. By plotting the high, low, and mid-point (50%) of the prior day’s range, traders can assess potential market bias and directional tendencies for the current trading day.
Key Features:
Plots the previous day’s high (100%), low (0%), and intermediate levels (25%, 50%, 75%).
Allows users to customize line visibility, color, style, and width.
Helps traders identify potential support and resistance zones.
Provides a bias framework for determining whether price is more likely to target the previous high or low based on behavior around the 50% level.
Use Case:
This indicator is particularly useful for intraday and short-term traders who incorporate price action into their strategy.
If price trades above the 50% level and holds, it suggests a bullish bias, indicating that price may aim for the previous day's high.
If price trades below the 50% level and holds, it suggests a bearish bias, indicating that price may aim for the previous day's low.
The high and low levels can act as key support and resistance zones, where price may react or reverse.
How to Use:
Apply the indicator to your chart.
Observe how price interacts with the 50% level.
Use price behavior around these levels to establish a directional bias.
Adjust the line styles and colors to match your personal preference.
Disclaimer:
This indicator is a tool for market analysis and does not provide financial advice. Always perform your own analysis and risk management when trading.
在腳本中搜尋"high low"
Uptrick: Time Based ReversionIntroduction
The Uptrick: Time Based Reversion indicator is designed to provide a comprehensive view of market momentum and potential trend shifts by combining multiple moving averages, a streak-based trend analysis system, and adaptive color visualization. It helps traders identify strong trends, spot potential reversals, and make more informed trading decisions.
Purpose
The primary goal of this indicator is to assist traders in distinguishing between sustained market movements and short-lived fluctuations. By evaluating how price behaves relative to its moving averages, and by measuring consecutive streaks above or below these averages, the indicator highlights areas where trends are likely to continue or lose momentum.
Overview
Uptrick: Time Based Reversion calculates one or more moving averages of price data and then tracks the number of consecutive bars (streaks) above or below these averages. This streak-based detection provides insight into whether a trend is gaining strength or nearing a potential reversal point. The indicator offers:
• Multiple moving average types (SMA, EMA, WMA)
• Optional second and third moving average layers for additional smoothing of first moving average
• A streak detection system to quantify trend intensity
• A dynamic color scheme that changes with streak strength
• Optional buy and sell signals for potential trade entries and exits
• A ribbon mode that applies moving averages to Open, High, Low, and Close prices for a more detailed visualization of overall trend alignment
Originality and Uniqueness
Unlike traditional moving average indicators, Uptrick: Time Based Reversion incorporates a streak measurement system to detect trend strength. This approach helps clarify whether a price movement is merely a quick fluctuation or part of a longer-lasting trend. Additionally, the optional ribbon mode extends this logic to Open, High, Low, and Close prices, creating a layered and intuitive visualization that shows complete trend alignment.
Inputs and Features
1. Enable Ribbon Mode
This input lets you activate or deactivate the ribbon display of multiple moving averages. When enabled, the script plots moving averages for the Open, High, Low, and Close prices and uses color fills to show whether these four data points are collectively above or below their respective moving averages.
2. Color Scheme Selection
Users can choose from several predefined color schemes, such as Default, Emerald, Crimson, Sapphire, Gold, Purple, Teal, Orange, Gray, Lime, or Aqua. Each scheme assigns distinct bullish, bearish and neutral colors..
3. Show Buy/Sell Signals
The indicator can display buy or sell signals based on its streak analysis logic. These signals appear as markers on the chart, indicating a “Safe Uptrend” (buy) or “Safe Downtrend” (sell).
4. Moving Average Types and Lengths
• First MA Type and Length: Choose SMA, EMA, or WMA along with a customizable period.
• Second and Third MA Types and Lengths: You can optionally stack additional moving averages for further smoothing, each with its own customizable type and period.
5. Streak Threshold Multiplier
This numeric input determines how strong a streak must be before the script considers it a “safe” trend. A higher multiplier requires a longer or more intense streak for a buy or sell signal.
6. Dynamic Transparency Calculation
The color intensity adapts to the streak’s strength. Longer streaks increase the transparency of the opposing color, making the current dominant color stand out. This feature ensures that a vigorous uptrend or downtrend is visually distinct from short-lived or weaker moves.
7. Ribbon Moving Averages
In ribbon mode, the script calculates moving averages for the Open, High, Low, and Close prices. Each of these is optionally smoothed again if the second and/or third moving average layers are active. The final result is a ribbon of moving averages that helps confirm whether the market is uniformly aligned above or below these key reference points.
Calculation Methodology
1. Initial Moving Average
The script calculates the first moving average (SMA, EMA, or WMA) of the closing price over a user-defined period.
2. Optional Secondary and Tertiary Averages
If selected, the script then applies a second and/or third smoothing step. Each of these steps can be a different type of moving average (SMA, EMA, or WMA) with its own period length.
3. Streak Detection
The indicator counts consecutive bars above or below the smoothed moving average. A running total (streakUp or streakDown) increments with every bar that remains above or below that average.
4. Reversion Intensity
The script compares the current streak value to its own average (calculated over the final chosen period). This ratio determines whether the streak is nearing a likely reversion or is strong enough to continue.
5. Color Assignment and Signals
The indicator calculates color transparency based on streak intensity. Buy and sell signals appear when the streak meets or exceeds the threshold multiplier, indicating a safe uptrend or downtrend.
Color Schemes and Visualization
This indicator offers multiple predefined color sets. Each scheme specifies a unique bullish color, bearish color and neutral color. The script automatically varies transparency to highlight strong trends and fade weaker ones, making it visually clear when a trend is intensifying or losing momentum.
Smoothing Techniques
By allowing up to three layers of moving average smoothing, the indicator accommodates different trading styles. A single layer provides faster reactions to market changes, while more layers reduce noise at the cost of slower responsiveness. Traders can choose the right balance between responsiveness and stability for their strategy, whether it is short-term scalping or long-term trend following.
Why It Combines Specific Smoothing Techniques
The Uptrick: Time Based Reversion indicator strategically combines specific smoothing techniques—SMA, EMA, and WMA—to leverage their complementary strengths. The SMA provides stable and consistent trend identification by equally weighting all data points, while the EMA emphasizes recent price movements, allowing quicker responses to market changes. WMA enhances sensitivity to recent price shifts, which helps in detecting subtle momentum changes early. By integrating these methods in layers, the indicator effectively balances responsiveness with stability, helping traders clearly identify genuine trend changes while filtering out short-term noise and false signals.
Ribbon Mode
If Open, High, Low, and Close prices remain above or below their respective moving averages consistently, the script colors the bars fully bullish or bearish. When the data points are mixed, a neutral color is applied. This mode provides a thorough perspective on whether the entire price range is aligned in one direction or showing conflicting signals.
Summary
Uptrick: Time Based Reversion combines multiple moving averages, streak detection, and dynamic color adjustments to help traders identify significant trends and potential reversal areas. Its flexibility allows it to be used either in a simpler form, with one moving average and streak analysis, or in a more advanced configuration with ribbon mode that charts multiple smoothed averages for a deeper understanding of price alignment. By adapting color intensities based on streak strength and providing optional buy/sell signals, this indicator delivers a clear and flexible tool suited to various trading strategies.
Disclaimer
This indicator is designed as an analysis aid and does not guarantee profitable trades. Past performance does not indicate future success, and market conditions can change unexpectedly. Users are advised to employ proper risk management and thoroughly evaluate trades before taking positions. Use this indicator as part of a broader strategy, not as a sole decision-making tool.
Divergence IQ [TradingIQ]Hello Traders!
Introducing "Divergence IQ"
Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features.
Features
Divergence Detection
Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator.
Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals.
Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy.
Normalization Options:
Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all.
Adjustable normalization window lets you customize the indicator to suit various market conditions.
Option to display the normalized indicator on the chart for clearer visual comparison.
Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection.
Simulated Trade Management:
Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes.
Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings.
Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count.
Visual Enhancements and On-Chart Displays:
Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups.
On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels.
Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane.
Performance Metrics Table:
A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades.
This feature offers an at-a-glance assessment of how the divergence-based strategy is performing.
The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action!
The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods.
Customization and Adaptability
Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox.
The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied.
While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease.
With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average.
In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate.
The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection.
This feature can be used with almost any technical indicator.
Stop Type
Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses.
The image above shows options for the feature.
Divergence Detection Method
A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later.
To circumvent this issue, Divergence IQ offers two divergence detection mechanisms.
Pivot Detection
Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences.
This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence.
Immediate Detection
Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting.
Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator.
Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs.
TradingView Backtester Integration
Divergence IQ is fully compatible with the TradingView backtester!
Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market.
So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy.
Strategy Properties Used For Backtest
Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders
Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size
Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets.
Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity.
Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use.
And that's all!
If you have any cool features you think can benefit Divergence IQ - please feel free to share them!
Thank you so much TradingView community!
Acceleration Bands HTF
This version gives you the ability to see the indicator from the HIGHER timeframes when you are on the timeframes. Please note that this is not the original formula, but a factored one that I found effective for identifying market trends. Thanks to @capissimo who provided the base open-code.
Acceleration Bands are designed to capture potential price breakouts or reversals in an asset. They are calculated based on a stock's price movements over a specified period, typically using the high, low, and closing prices. The idea is to identify moments when the price is accelerating (hence the name) beyond its normal range, which might indicate the beginning of a new trend.
Calculation
Acceleration Bands consist of three lines:
Upper Band (AB Upper): This is calculated by adding a certain percentage of the simple moving average (SMA) to the highest high over a given period.
Middle Band: This is typically the SMA of the stock's price.
Lower Band (AB Lower): This is calculated by subtracting the same percentage of the SMA from the lowest low over a given period.
Mathematically :
AB Upper = SMA + (Highest High * Percentage)
AB Lower = SMA - (Lowest Low * Percentage)
OR
Upper Band = SMA x (1 + (High - Low) / SMA)
Lower Band = SMA x (1 - (High - Low) / SMA)
Interpretation
The bands are used to identify periods when the price of a security is accelerating or decelerating:
Breakout Above Upper Band: This is usually considered a bullish signal, suggesting that the price is accelerating upwards and a new uptrend may be starting.
Breakdown Below Lower Band: This is usually considered a bearish signal, suggesting that the price is accelerating downwards and a new downtrend may be starting.
Reversal Between Bands: When the price re-enters the region between the bands after breaking out, it can be seen as a potential reversal signal.
Trading Strategy
Entry Signals:
Buy when the price breaks above the upper band.
Sell or short when the price breaks below the lower band.
Exit Signals:
Close a long position when the price falls back into the area between the bands.
Close a short position when the price rises back into the area between the bands.
Advantages
Helps capture early trends.
Can be used across various time frames and assets.
Provides clear entry and exit signals.
Breakout indicatorThis indicator helps traders identify potential breakout levels based on the highest high and lowest low of the last N candles, inspired by the classic Turtle Trading strategy. The period (N) is fully customizable, allowing you to adapt it to your trading style. For daily charts, a period between 50 and 100 is recommended.
The indicator dynamically plots horizontal lines representing the highest high and lowest low over the selected period. These lines are updated in real-time as price action evolves. A breakout is confirmed when the price closes above the high line (for a bullish breakout) or below the low line (for a bearish breakout).
Customize the appearance of the lines with options for thickness, color, and style (solid, dotted, or dashed) to suit your chart preferences. Perfect for traders looking to implement a simple yet effective breakout strategy!
Key Features:
Editable period (N) for high/low calculation.
Real-time updates of high/low levels.
Customizable line thickness, color, and style.
Usage:
Use on daily charts for swing trading or position trading.
Combine with other indicators or price action analysis for better confirmation.
ORB-5Min + Adaptive 12/48 EMA + PDH/PDL
Overview:
This indicator combines the 5-Minute Opening Range Breakout (ORB), Adaptive 12/48 Exponential Moving Averages (EMAs), and Previous Day High/Low (PDH/PDL) levels to help traders identify key intraday levels and market trends.
Key Components and Logic:
5-Minute Opening Range Breakout (ORB):
Displays the high and low from the first 5-minute candle of the trading session.
Includes customizable opacity for the range fill.
Helps traders spot breakout opportunities and key support/resistance zones.
Adaptive 12/48 EMA System:
Displays EMAs for 9, 12, 48, and 200 periods.
The 12 EMA changes color based on whether the price is entirely above or below it.
The 48 EMA changes color depending on its relationship with the 12 EMA.
Provides dynamic trend identification and potential entry/exit signals.
Previous Day High/Low (PDH/PDL):
Displays the previous day’s high and low levels.
Useful for tracking key intraday support/resistance levels and potential reversal points.
Summary:
This script stands out by blending three popular intraday tools into a single comprehensive indicator. The combined visualization provides a layered market context that assists traders in making informed decisions quickly. The color-adaptive EMAs add clarity to trend direction, while the ORB and PDH/PDL levels highlight significant price zones for breakout or reversal trades.
How to Use:
Breakout Trades: Watch for price breaks above the ORB high or below the ORB low, especially when supported by EMA trends.
Trend Confirmation: Use the color-adaptive 12/48 EMA system to gauge momentum and market direction.
Reversal or Continuation: Observe how price reacts around PDH/PDL levels, especially if confluence with EMAs occurs.
This indicator is suitable for day traders seeking a clear and efficient way to track market structure, identify trends, and spot potential trade opportunities during regular market hours.
Bollinger Bands Reversal + IBS Strategy█ STRATEGY DESCRIPTION
The "Bollinger Bands Reversal Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price deviates below the lower Bollinger Band and the Internal Bar Strength (IBS) indicates oversold conditions. It enters a long position when specific conditions are met and exits when the IBS indicates overbought conditions. This strategy is suitable for use on various timeframes.
█ WHAT ARE BOLLINGER BANDS?
Bollinger Bands consist of three lines:
- **Basis**: A Simple Moving Average (SMA) of the price over a specified period.
- **Upper Band**: The basis plus a multiple of the standard deviation of the price.
- **Lower Band**: The basis minus a multiple of the standard deviation of the price.
Bollinger Bands help identify periods of high volatility and potential reversal points.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) is a measure of where the closing price is relative to the high and low of the bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
A low IBS value (e.g., below 0.2) indicates that the close is near the low of the bar, suggesting oversold conditions. A high IBS value (e.g., above 0.8) indicates that the close is near the high of the bar, suggesting overbought conditions.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The IBS value is below 0.2, indicating oversold conditions.
The close price is below the lower Bollinger Band.
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
A Sell Signal is generated when the IBS value exceeds 0.8, indicating overbought conditions. This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Length: The lookback period for calculating the Bollinger Bands. Default is 20.
Multiplier: The number of standard deviations used to calculate the upper and lower Bollinger Bands. Default is 2.0.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for mean-reverting markets and performs best when the price frequently deviates from the Bollinger Bands.
It is sensitive to oversold and overbought conditions, as indicated by the IBS, which helps to identify potential reversals.
Backtesting results should be analyzed to optimize the Length and Multiplier parameters for specific instruments.
ICT CRT Model Range with EquilibriumICT CRT Model Range with Equilibrium Indicator
This indicator calculates and displays the high, low, and equilibrium levels within a custom-defined session (9:00 am to 10:00 am New York Time and the lines will stop appearing at 16:00pm ). It draws horizontal lines to represent the session's range and marks the equilibrium point as a reference.
What is CRT (Candle Range Theory)?
Candle Range Theory (CRT) is based on the concept that every candle on any timeframe forms its own range. These ranges can either be manipulated—through strategies like Turtle Soup—or broken, resulting in price movements such as engulfing patterns, breakouts, and retests beyond the candle's high or low.
CRT is commonly visualized as a 3-candle model, but it can include more candles due to the presence of inside bars. An inside bar is a candle whose high is not higher than the previous candle's high and whose low is not lower than the previous candle's low.
The CRT model follows the A-M-D structure:
Accumulation (A): The first candle or group of candles (inside bars) represents market consolidation.
Manipulation (M): The second candle signals a false move, often a Turtle Soup setup designed to trap traders.
Distribution (D): The third candle confirms the true market move, breaking out of the range and establishing the trend.
Customizable Settings:
Line Colors: Choose your preferred colors for the high, low, and equilibrium lines.
Line Widths: Adjust the thickness of the lines for better visibility.
Line Styles: Select from solid, dotted, or dashed styles for each line.
Label Settings: Customize the text and colors of the labels for the high, low, and equilibrium points.
Traders can easily modify these settings to suit their visual preferences and trading strategies. This indicator is ideal for identifying price action within a specific range, offering clear visual cues for potential CRT Setup.
First 5-Minute Premarket High/Low Break RetestDay trading method that uses the 5 minute candle high and low but trade on the 1 minute chart.
This is a break and retest trading strategy based on the market open 5 minute high and low candle.
Additional levels would be the premarket high and low plotted in blue on the chart. It's not uncommon for the 5 minute to be near the premarket high and low zone.
The break and restest of the 5 minute white lines either to the downside or upside. Once a hammer or long wick candle forms near or touching the retest of the 5 minute line that indicates an entry point.
It's best to have another confirmation for entry such as the 13 and 100 ema cross to confirm good position and risk.
This is a repetable and solid trading strategy. The indicator was created to plot on the 1 and 5 minute charts.
Swing Points AlertSwing Points Alert with Adjustable Delay
Description:
This script is designed to detect and alert traders about significant swing highs and lows on the chart. The script is equipped with customizable pivot detection settings and an innovative **Alert Delay** mechanism, allowing users to fine-tune their notifications to reduce noise and focus on key price movements.
Key Features:
1. **Swing High/Low Detection:**
- Identifies swing highs and lows based on user-defined pivot length.
- Visualizes these points with customizable labels for clarity.
2. **Customizable Alerts:**
- Enables real-time alerts for swing highs and lows.
- Users can adjust the delay for alerts to avoid false signals during volatile periods.
3. **Dynamic Label Management:**
- Automatically manages the number of displayed swing point labels.
- Removes crossed or outdated labels based on user preferences.
4. **Flexible Label Styling:**
- Provides multiple label styles (e.g., triangles, circles, arrows) and color customization for both swing highs and lows.
How the Alert Delay Works:
The **Alert Delay** helps filter signals by introducing a delay before triggering alerts. The delay is calculated as follows:
**Alert Delay (%) x Time Frame = Alert Delay in Time Frame Units**
For example:
- If the **Alert Delay** is set to 30% and the timeframe is **15 minutes**, the alert will be triggered after a delay of:
\
This ensures the alert is triggered only if the swing high/low condition remains valid for at least 4.5 minutes.
Important Notes:
1. **Timeframe Sensitivity:**
- This script is optimized for use across various timeframes, but users must adjust the **Alert Delay** percentage to match their trading style and timeframe.
- For example, higher timeframes may require lower delay percentages for timely alerts.
2. **Customization Options:**
- Easily customize pivot detection length, alert delay, label styles, and colors to suit your preferences.
3. **Support:**
- If you encounter any challenges or need help optimizing the script for your specific trading scenario, feel free to reach out for assistance.
ANIL's OHCL, VWAP and EMA CrossPrevious Week High and Low:
This part calculates the previous week's high and low values and plots them as continuous blue lines. The plot.style_line ensures the lines are drawn continuously.
Previous Day Open, High, Low, Close:
The script uses request.security to get the previous day's open, high, low, and close values. These are plotted as continuous lines in different colors:
Open: Green
High: Red
Low: Orange
Close: Purple
VWAP (Volume Weighted Average Price):
The VWAP is calculated using ta.vwap(close) and plotted with a thick black line.
Exponential Moving Averages (EMAs):
The script calculates two EMAs: one with a 9-period (fast) and one with a 21-period (slow).
The EMAs are plotted as continuous lines:
Fast EMA: Blue
Slow EMA: Red
EMA Cross:
The script checks for EMA crossovers and crossunders:
A crossover (fast EMA crossing above slow EMA) triggers a buy signal (green label below the bar).
A crossunder (fast EMA crossing below slow EMA) triggers a sell signal (red label above the bar).
Customization:
You can adjust the fastLength and slowLength variables to change the period of the EMAs.
You can modify the line colors and line thickness to match your preferred style.
The buy and sell signals can be customized further with different shapes or additional conditions for signal generation.
This script provides a comprehensive and visually distinct indicator with the previous week's and day's levels, VWAP, and EMA crossover signals.
Logarithmic Regression AlternativeLogarithmic regression is typically used to model situations where growth or decay accelerates rapidly at first and then slows over time. Bitcoin is a good example.
𝑦 = 𝑎 + 𝑏 * ln(𝑥)
With this logarithmic regression (log reg) formula 𝑦 (price) is calculated with constants 𝑎 and 𝑏, where 𝑥 is the bar_index .
Instead of using the sum of log x/y values, together with the dot product of log x/y and the sum of the square of log x-values, to calculate a and b, I wanted to see if it was possible to calculate a and b differently.
In this script, the log reg is calculated with several different assumed a & b values, after which the log reg level is compared to each Swing. The log reg, where all swings on average are closest to the level, produces the final 𝑎 & 𝑏 values used to display the levels.
🔶 USAGE
The script shows the calculated logarithmic regression value from historical swings, provided there are enough swings, the price pattern fits the log reg model, and previous swings are close to the calculated Top/Bottom levels.
When the price approaches one of the calculated Top or Bottom levels, these levels could act as potential cycle Top or Bottom.
Since the logarithmic regression depends on swing values, each new value will change the calculation. A well-fitted model could not fit anymore in the future.
Swings are based on Weekly bars. A Top Swing, for example, with Swing setting 30, is the highest value in 60 weeks. Thirty bars at the left and right of the Swing will be lower than the Top Swing. This means that a confirmation is triggered 30 weeks after the Swing. The period will be automatically multiplied by 7 on the daily chart, where 30 becomes 210 bars.
Please note that the goal of this script is not to show swings rapidly; it is meant to show the potential next cycle's Top/Bottom levels.
🔹 Multiple Levels
The script includes the option to display 3 Top/Bottom levels, which uses different values for the swing calculations.
Top: 'high', 'maximum open/close' or 'close'
Bottom: 'low', 'minimum open/close' or 'close'
These levels can be adjusted up/down with a percentage.
Lastly, an "Average" is included for each set, which will only be visible when "AVG" is enabled, together with both Top and Bottom levels.
🔹 Notes
Users have to check the validity of swings; the above example only uses 1 Top Swing for its calculations, making the Top level unreliable.
Here, 1 of the Bottom Swings is pretty far from the bottom level, changing the swing settings can give a more reliable bottom level where all swings are close to that level.
Note the display was set at "Logarithmic", it can just as well be shown as "Regular"
In the example below, the price evolution does not fit the logarithmic regression model, where growth should accelerate rapidly at first and then slows over time.
Please note that this script can only be used on a daily timeframe or higher; using it at a lower timeframe will show a warning. Also, it doesn't work with bar-replay.
🔶 DETAILS
The code gathers data from historical swings. At the last bar, all swings are calculated with different a and b values. The a and b values which results in the smallest difference between all swings and Top/Bottom levels become the final a and b values.
The ranges of a and b are between -20.000 to +20.000, which means a and b will have the values -20.000, -19.999, -19.998, -19.997, -19.996, ... -> +20.000.
As you can imagine, the number of calculations is enormous. Therefore, the calculation is split into parts, first very roughly and then very fine.
The first calculations are done between -20 and +20 (-20, -19, -18, ...), resulting in, for example, 4.
The next set of calculations is performed only around the previous result, in this case between 3 (4-1) and 5 (4+1), resulting in, for example, 3.9. The next set goes even more in detail, for example, between 3.8 (3.9-0.1) and 4.0 (3.9 + 0.1), and so on.
1) -20 -> +20 , then loop with step 1 (result (example): 4 )
2) 4 - 1 -> 4 +1 , then loop with step 0.1 (result (example): 3.9 )
3) 3.9 - 0.1 -> 3.9 +0.1 , then loop with step 0.01 (result (example): 3.93 )
4) 3.93 - 0.01 -> 3.93 +0.01, then loop with step 0.001 (result (example): 3.928)
This ensures complicated calculations with less effort.
These calculations are done at the last bar, where the levels are displayed, which means you can see different results when a new swing is found.
Also, note that this indicator has been developed for a daily (or higher) timeframe chart.
🔶 SETTINGS
Three sets
High/Low
• color setting
• Swing Length settings for 'High' & 'Low'
• % adjustment for 'High' & 'Low'
• AVG: shows average (when both 'High' and 'Low' are enabled)
Max/Min (maximum open/close, minimum open/close)
• color setting
• Swing Length settings for 'Max' & 'Min'
• % adjustment for 'Max' & 'Min'
• AVG: shows average (when both 'Max' and 'Min' are enabled)
Close H/Close L (close Top/Bottom level)
• color setting
• Swing Length settings for 'Close H' & 'Close L'
• % adjustment for 'Close H' & 'Close L'
• AVG: shows average (when both 'Close H' and 'Close L' are enabled)
Show Dashboard, including Top/Bottom levels of the desired source and calculated a and b values.
Show Swings + Dot size
Fibonacci Snap Tool [TradersPro]
OVERVIEW
The Fibonacci Snap tool automatically snaps to the swing high and swing low of the price data shown on the chart display. Fibonacci retracement levels can be used for entry, exit, or as a confirmation of trend continuation.
If the swing high on the chart comes before the swing low, the price is in a downtrend.If the swing high comes after the swing low, the price is in an uptrend.
We call the 23.60% Fibonacci level the momentum zone of the trend. Price in a solid trend, either up or down, will typically hold the 23.60% Fibonacci level as support (demand) in an uptrend or resistance (supply) in a downtrend.
Deeper Fibonacci levels of 38.20%, 50.00%, and 61.80% are corrective supply/demand zones. As price moves against the found trend, it can move into this range block we call the corrective zone.
Fibonacci retracement levels are used to identify potential supply/demand areas where price could reverse or consolidate. These levels are based on key ratios derived from the Fibonacci sequence, and we only use the core 23.60%, 38.20%, 50.00%, and 61.80% ratios.
CONCEPTS
Price action moves in trend cycles, these retracement levels help traders measure proportional relationships between the high/low swings in the price trend.
When a price trend is moving against the trend, traders can find opportunities to trade with the current trend at key Fibonacci levels. Fibonacci levels can be used to anticipate where price might find supply/demand imbalance and continue moving in the trend direction.
Traders apply the indicator by selecting a window of price they want to analyze in the chart display, and the Fibonacci Snap tool will snap to the high and low of the visible price display.
The Intent and Use of This Tool
The 23.60% level acts as a momentum or continuation of trend. The 38.20% to 61.80% range are corrective zones of the trend.
The 61.80% level, also known as the golden ratio (Google the term “Golden Ratio”; it's fun), can often represent the location of supply/demand imbalance.
In an uptrend, it can represent the area of no more selling supply, and the balance can shift to buying demand. In a downtrend, it can represent the area of no more buying demand and the balance can shift to selling supply.
When used with the Momentum Zones indicator, these two tools create a powerful combination for traders to find, implement, and manage trades.
Candle Average PriceOverview
The Candle Average Price indicator is a custom tool designed to help traders identify key price levels by calculating and displaying the average price of recent candles on your TradingView chart. This indicator computes the average price based on a user-defined percentage of each candle's range over a specified number of candles. It then plots a horizontal line representing this average, covering only the last N candles as defined by you.
Key Features
Customizable Number of Candles: Define how many past candles to include in the average calculation.
Adjustable Percentage Level: Choose any percentage of each candle's range (from low to high) to calculate the price level.
Dynamic Horizontal Line: The indicator plots a horizontal line representing the calculated average, updating with each new bar and covering only the specified number of candles.
How It Works
Price at Specified Percentage:
For each candle, the indicator calculates a price level at your chosen percentage within the candle's range.
Formula: Price = Low + (Percentage Level / 100) * (High - Low)
Average Price Calculation:
It computes the average of these price levels over the last N candles.
Formula: Average Price = Sum of Price Levels over N Candles / N
Horizontal Line Plotting:
A horizontal line is drawn at the calculated average price level.
The line spans from N candles ago to the current candle, covering exactly the number of candles specified.
Input Parameters
Number of Candles (length):
Description: The number of recent candles over which the average is calculated.
Default Value: 4
Range: 1 to any positive integer.
Usage: Adjust this to include more or fewer candles in the calculation. A higher number smooths the average, while a lower number makes it more responsive to recent price changes.
Percentage Level (%):
Description: The percentage within each candle's range to calculate the price level.
Default Value: 50%
Range: 0% (candle low) to 100% (candle high).
Usage: Modify this to focus on different parts of each candle:
0%: Uses the low of each candle.
50%: Uses the midpoint of each candle.
100%: Uses the high of each candle.
Custom Percentage: Any value between 0% and 100% to target specific levels.
How to Use the Indicator
Adding the Indicator to Your Chart:
Open the TradingView chart of your preferred financial instrument.
Click on Indicators at the top of the chart.
Select Invite-Only Scripts if you've saved the script there, or use the Pine Editor to paste and apply the script.
Configuring the Settings:
After adding the indicator, click on the gear icon ⚙️ next to its name to open settings.
Adjust the Number of Candles (length) to your desired period.
Set the Percentage Level (%) (percentage) to the specific level within each candle's range you want to analyze.
Interpreting the Horizontal Line:
The horizontal line represents the average price calculated based on your inputs.
It updates with each new bar, always reflecting the most recent data over the specified number of candles.
The line only spans the last N candles, providing a focused view of recent price action.
Practical Applications
Identifying Support and Resistance Levels:
The average price line can act as a dynamic support or resistance level.
Traders can watch for price reactions around this line to make trading decisions.
Trend Analysis:
Observing how the price interacts with the average line can provide insights into the current trend's strength and potential reversals.
Entry and Exit Signals:
Use the line as a reference point for setting stop-loss orders or taking profits.
Combine it with other indicators for more robust trading signals.
In highly volatile markets, consider increasing the number of candles to avoid false signals.
Limitations and Considerations
Not a Standalone Tool:
This indicator should not be used in isolation for making trading decisions. Always consider additional analysis.
Market Conditions Matter:
The indicator may perform differently in trending markets versus ranging markets.
Data Refresh:
Ensure you have a stable internet connection and that your TradingView chart is set to the correct time frame.
Conclusion
The Candle Average Price indicator is a flexible and user-friendly tool that provides valuable insights into recent price action by calculating the average price based on your specific criteria. By adjusting the parameters to suit your trading style, you can incorporate this indicator into your technical analysis to help identify potential trading opportunities.
Disclaimer: Trading financial instruments involves risk, and past performance is not indicative of future results. This indicator is a tool to assist in analysis and should not be considered financial advice.
Happy Trading!
ORB Screener with Trailing SLThis is an extension to our already published script ORB with ATR Trailing SL indicator
Many people requested to add screener to the existing indicator but since it's slowing down the performance heavily, we decided to add this as a separate screener.
Note: This screener does NOT plot the chart and so you want to have both plotting and screener, use both scripts together.
Overview:
The ORB Screener is a TradingView indicator designed to assist traders in identifying breakout opportunities based on the Opening Range Breakout (ORB) strategy. It features multi-symbol screening, customizable session timeframes, and a detailed table for quick visual reference and stock scanning.
The ORB Screener utilizes the ORB strategy to calculate breakout levels for multiple symbols. It identifies the high and low during a specified session (e.g., first 5 minutes after market open) and provides insights on whether the price is above the high (bullish), below the low (bearish), or between the range (neutral).
Additionally, the script calculates and displays the RSI values for each symbol, aiding traders in assessing momentum alongside breakout status.
Note: One can add up to 40 symbols for screening the stocks.
Key Features and Inputs:
ORB Session Time: Define a specific timeframe (e.g., "0915-0920") during which the ORB high and low are calculated. This serves as the foundation for identifying breakouts.
Multi-Symbol Screening: Screen up to 40 symbols at once, enabling you to monitor multiple opportunities without switching charts.
Breakout Validation:
Select from two methods for confirming a breakout: Close (based on closing prices) or Touch (based on intraday highs/lows).
Breakout Status Indicators:
Above High: Indicates a current bullish breakout when the price exceeds the ORB high.
Below Low: Indicates a current bearish breakout when the price falls below the ORB low.
Between Range: Indicates no breakout (price remains within the range).
RSI Integration : Calculates the RSI for each symbol to help traders evaluate momentum alongside breakout signals.
Customizable Table Display:
Position: Place the data table at the top, middle, or bottom of the chart and align it left, center, or right.
Size: Choose from multiple table size options for optimal visibility (Auto, Huge, Large, Normal, Small, Tiny).
Visual Feedback:
Green Background: Indicates a breakout happened at least once above the ORB high.
Red Background: Indicates a breakout happened at least once below the ORB low.
Gray Background: Indicates price is within the ORB range.
52 Week High/Low Tracking TableThis Indicator helps the User to Quickly view Current Closing Price Compared to the Mentioned Period High and Low.
"Bars Back" indicate the period you need to look back. In case of Daily charts 260 Bars Back usually indicate 52 Weeks/1 year. This is set a default. But you can change it as well.
The Indicator will show the data for below:-
1) High - Highest Close price for the Mentioned Period
2) % from High - The Percentage difference between the Current Close Price Vs Highest Close price for the Mentioned Period. (-) indicate that the current close price is lesser then then High Price.
3) Low - Lowest Close price for the Mentioned Period
4) % from Low - The Percentage difference between the Current Close Price Vs Highest Close price for the Mentioned Period. (-) indicate that the current close price is lesser then then High Price.
You can add this indicator to Quickly Scan multiple stocks to see were they stand.
Granular Candle-by-Candle VWAPGranular Candle-by-Candle VWAP is a customizable Volume Weighted Average Price (VWAP) indicator designed for TradingView. Unlike traditional VWAP indicators that operate on the chart's primary timeframe, this script enhances precision by incorporating lower timeframe (e.g., 1-minute) data into VWAP calculations. This granular approach provides traders with a more detailed and accurate representation of the average price, accounting for intra-bar price and volume movements. The indicator dynamically adjusts to the chart's current timeframe and offers a range of customization options, including price type selection, visual styling, and alert configurations.
Customizable Features
Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences:
🎛️ Customizable Features
Users have extensive control over various aspects of the Granular Candle-by-Candle VWAP indicator. Below are the key features that can be customized to align with individual trading preferences:
🔢 Lookback Period
Description: Defines the number of lower timeframe bars used in the VWAP calculation.
Customization:
Input: VWAP Lookback Period (Number of Lower Timeframe Bars)
Default Value: 20 bars
Range: Minimum of 1 bar
Purpose: Allows traders to adjust the sensitivity of the VWAP. A smaller lookback period makes the VWAP more responsive to recent price changes, while a larger period smoothens out fluctuations.
📈 Price Type Selection
Description: Determines which price metric is used in the VWAP calculation.
Customization:
Input: Price Type for VWAP Calculation
Options:
Open: Uses the opening price of each lower timeframe bar.
High: Uses the highest price of each lower timeframe bar.
Low: Uses the lowest price of each lower timeframe bar.
Close: Uses the closing price of each lower timeframe bar.
OHLC/4: Averages the Open, High, Low, and Close prices.
HL/2: Averages the High and Low prices.
Typical Price: (High + Low + Close) / 3
Weighted Close: (High + Low + 2 × Close) / 4
Default Value: Close
Purpose: Offers flexibility in how the average price is calculated, allowing traders to choose the price metric that best fits their analysis style.
🕒 Lower Timeframe Selection
Description: Specifies the lower timeframe from which data is fetched for granular VWAP calculations.
Customization:
Input: Lower Timeframe for Granular Data
Default Value: 1 minute ("1")
Options: Any valid TradingView timeframe (e.g., "1", "3", "5", "15", etc.)
Purpose: Enables traders to select the granularity of data used in the VWAP calculation, enhancing the indicator's precision on higher timeframe charts.
🎨 VWAP Line Customization
Description: Adjusts the visual appearance of the VWAP line based on price position relative to the VWAP.
Customizations:
Color When Price is Above VWAP:
Input: VWAP Color (Price Above)
Default Value: Green
Color When Price is Below VWAP:
Input: VWAP Color (Price Below)
Default Value: Red
Line Thickness:
Input: VWAP Line Thickness
Default Value: 2
Range: Minimum of 1
Line Style:
Input: VWAP Line Style
Options: Solid, Dashed, Dotted
Default Value: Solid
Purpose: Enhances visual clarity, allowing traders to quickly assess price positions relative to the VWAP through color coding and line styling.
🔔 Alerts and Notifications
Description: Provides real-time notifications when the price crosses the VWAP.
Customizations:
Enable/Disable Alerts:
Input: Enable Alerts for Price Crossing VWAP
Default Value: Enabled (true)
Alert Conditions:
Price Crossing Above VWAP:
Trigger: When the closing price crosses from below to above the VWAP.
Alert Message: "Price has crossed above the Granular VWAP."
Price Crossing Below VWAP:
Trigger: When the closing price crosses from above to below the VWAP.
Alert Message: "Price has crossed below the Granular VWAP."
Purpose: Keeps traders informed of significant price movements relative to the VWAP, facilitating timely trading decisions.
📊 Plotting and Visualization
Description: Displays the calculated Granular VWAP on the chart with user-defined styling.
Customization Options:
Color, Thickness, and Style: As defined in the VWAP Line Customization section.
Track Price Feature:
Parameter: trackprice=true
Function: Ensures that the VWAP line remains visible even when the price moves far from the VWAP.
Purpose: Provides a clear and persistent visual reference of the VWAP on the chart, aiding in trend analysis and support/resistance identification.
⚙️ Performance Optimizations
Description: Ensures the indicator runs efficiently, especially on higher timeframes with large datasets.
Strategies Implemented:
Minimized Security Calls: Utilizes two separate request.security calls to fetch necessary data, balancing functionality and performance.
Efficient Calculations: Employs built-in functions like ta.sum for rolling calculations to reduce computational load.
Conditional Processing: Alerts are processed only when enabled, preventing unnecessary computations.
Purpose: Maintains smooth chart performance and responsiveness, even when using lower timeframe data for granular calculations.
Swing Percentile Lines [QuantVue]The Swing High/Low Percentile Indicator is designed to help traders identify key price levels based on the most recent swing high and low. By anchoring to the most recent swing high and swing low, the indicator automatically generates percentile lines ( 25%, 50%, 75%) that act as dynamic support and resistance levels.
What Does the Indicator Do?
The Swing High/Low Percentile Indicator works by identifying the most recent significant price swings, whether it's a swing high or swing low. It then calculates the range between these points and divides the distance into percentage-based levels. These levels are plotted on the chart as clear, easy-to-read lines at 25%, 50%, and 75% of the range between the swing high and low.
These percentile lines serve as dynamic price zones where traders can anticipate potential reactions, whether the market is trending or consolidating.
How Can Traders Use the Indicator?
Support and Resistance: The percentile lines act as evolving support and resistance zones. Traders can anticipate price bounces or breaks at these levels, providing opportunities for trend-following or reversal trades.
Trend Identification: The indicator helps traders determine the strength of a trend. In a strong uptrend, price will likely stay above the 50% or 75% lines, while in a downtrend, it may remain below the 50% or 25% lines. This gives traders an edge in recognizing the overall market direction.
Entry and Exit Points: Traders can use the percentile lines to time their entries and exits. For example, entering a trade on a pullback to the 25% or 50% line offers a favorable risk-to-reward ratio. Similarly, the percentile lines serve as natural profit targets, allowing traders to plan exits as the price approaches the 50% or 75% levels.
Risk Management: The clear delineation of price levels makes it easy for traders to set stop-loss orders. For example, if price falls below the 25% line in an uptrend, it may signal weakness, prompting an exit or reduced position size.
Breakout and Breakdown Scenarios: When price breaks above a recent swing high or below a swing low, the percentile lines provide traders with pullback entry opportunities or key levels to watch for continuation of the move.
Original Keltner with Support And ResistanceThis indicator is based on the original Keltner Channels using typical price and calculating the 10 period average of high - low
Typical price = (high + low + close)/3
In this case, I've taken Typical price as (open + high + low + close)/4 on the advice of John Bollinger from his book Bollinger on Bollinger Bands.
Buy Line = 10 Period Typical Price Average + 10 Period Average of (High - Low)
Sell Line = 10 Period Typical Price Average - 10 Period Average of (High - Low)
This is the basis for the indicator. I've added the highest of the Buy Line and lowest of the Sell Line for the same period which acts as Support and Resistance.
If price is trending below the Lowest of Sell Line, take only sell trades and the Lowest Line acts as resistance.
If price is trending above the Highest of Buy Line, take only buy trades and the Highest Line acts as support.
David_candle length with average and candle directionThis indicator,
calculates the difference between the highest and lowest price (High-Low difference) for a specified number of periods and displays it in a table. Here are the functions and details included:
Number of Periods: The user can define the number of periods (e.g., 10) for which the High-Low differences are calculated.
Table Position: The position of the table that displays the results can be selected by the user (top left, top right, bottom left, or bottom right).
High-Low Difference per Candle: For each defined period, the difference between the highest and lowest price of the respective candle is calculated.
Candle Direction: The color of the displayed text in the table changes based on the candle direction:
Green for bullish candles (close price higher than open price).
Red for bearish candles (close price lower than open price).
White for neutral candles (close price equal to open price).
Average: Below the High-Low differences, the average value of the calculated differences is displayed in yellow text.
This indicator is useful for visually analyzing the volatility and movement range within the recent candles by highlighting the average High-Low difference.
Three Bar Reversal Pattern [LuxAlgo]The Three Bar Reversal Pattern indicator identifies and highlights three bar reversal patterns on the user price chart.
The script also provides an option for incorporating various trend indicators used to filter out detected signals, allowing them to enhance their accuracy and help obtain a more comprehensive analysis.
🔶 USAGE
The script automates the detection of three-bar reversal patterns and provides a clear, visually identifiable signal for potential trend reversals.
When a reversal chart pattern is confirmed and price action aligns with the pattern, the pattern's boundaries are extended, forming levels, with the upper boundary often acting as a resistance and the lower boundary as a support.
The script allows users to filter patterns based on a specific trend direction detected by multiple trend indicators. Users can choose to view patterns that are either aligned with the detected trend or opposite to it.
Included trend indicators are: Moving Average Cloud, Supertrend, and Donchian Channels.
🔶 DETAILS
The three-bar reversal pattern is a technical analysis pattern that signals a potential reversal in the prevailing trend. The pattern consists of three consecutive bar formations:
First Bar and Second Bar: 2 consecutive of the same sentiment, representing the prevailing trend in the market.
Third Bar: Confirms the reversal by closing beyond the high or low of the first bar, signaling a potential change in market sentiment.
Various types of three-bar reversal patterns are documented. The script supports two main types:
Normal Pattern: Detects three-bar reversal patterns without requiring the third bar closing price to surpass the high (bullish pattern) or low (bearish pattern) of the first bar. It identifies basic formations signaling potential trend reversals.
Enhanced Pattern: Specifically identifies three-bar reversal patterns where the third bar closing price surpasses the high (bullish pattern) or low (bearish pattern) of the first bar. This type provides a more selective signal for stronger trend reversals.
🔶 SETTINGS
Pattern Type: Users can choose the type of 3-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the third bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns.
Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones.
🔹 Trend Filtering
Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend.
🔹 Trend Indicator Settings
Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow-moving averages.
Supertrend: Options to set the ATR length and factor for Supertrend.
Donchian Channels: Option to set the length for the channel calculation.
🔶 RELATED SCRIPTS
Reversal-Candlestick-Structure .
Reversal-Signals .
N Bar Reversal Detector [LuxAlgo]The N Bar Reversal Detector is designed to detect and highlight N-bar reversal patterns in user charts, where N represents the length of the candle sequence used to detect the patterns. The script incorporates various trend indicators to filter out detected signals and offers a range of customizable settings to fit different trading strategies.
🔶 USAGE
The N-bar reversal pattern extends the popular 3-bar reversal pattern. While the 3-bar reversal pattern involves identifying a sequence of three bars signaling a potential trend reversal, the N-bar reversal pattern builds on this concept by incorporating additional bars based on user settings. This provides a more comprehensive indication of potential trend reversals. The script automates the identification of these patterns and generates clear, visually distinct signals to highlight potential trend changes.
When a reversal chart pattern is confirmed and aligns with the price action, the pattern's boundaries are extended to create levels. The upper boundary serves as resistance, while the lower boundary acts as support.
The script allows users to filter patterns based on the trend direction identified by various trend indicators. Users can choose to view patterns that align with the detected trend or those that are contrary to it.
🔶 DETAILS
🔹 The N-bar Reversal Pattern
The N-bar reversal pattern is a technical analysis tool designed to signal potential trend reversals in the market. It consists of N consecutive bars, with the first N-1 bars used to identify the prevailing trend and the Nth bar confirming the reversal. Here’s a detailed look at the pattern:
Bullish Reversal : In a bullish reversal setup, the first bar is the highest among the first N-1 bars, indicating a prevailing downtrend. Most of the remaining bars in this sequence should be bearish (closing lower than where they opened), reinforcing the existing downward momentum. The Nth (most recent) bar confirms a bullish reversal if its high price is higher than the high of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be higher than the high of the first bar.
Bearish Reversal : In a bearish reversal setup, the first bar is the lowest among the first N-1 bars, indicating a prevailing uptrend. Most of the remaining bars in this sequence should be bullish (closing higher than where they opened), reinforcing the existing upward momentum. The Nth bar confirms a bearish reversal if its low price is lower than the low of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be lower than the low of the first bar.
🔹 Min Percentage of Required Candles
This parameter specifies the minimum percentage of candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) among the first N-1 candles in a pattern. For higher values of N, it becomes more challenging for all of the first N-1 candles to be consistently bullish or bearish. By setting a percentage value, P, users can adjust the requirement so that only a minimum of P percent of the first N-1 candles need to meet the bullish or bearish condition. This allows for greater flexibility in pattern recognition, accommodating variations in market conditions.
🔶 SETTINGS
Pattern Type: Users can choose the type of the N-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the last bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns.
Reversal Pattern Sequence Length: Specifies the number of candles (N) in the sequence used to identify a reversal pattern.
Min Percentage of Required Candles: Sets the minimum percentage of the first N-1 candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) to qualify as a valid reversal pattern.
Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones.
🔹 Trend Filtering
Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend.
🔹 Trend Indicator Settings
Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow moving averages.
Supertrend: Options to set the ATR length and factor for Supertrend.
Donchian Channels: Option to set the length for the channel calculation.
🔶 RELATED SCRIPTS
Reversal-Candlestick-Structure.
Reversal-Signals.
Realized Price Oscillator [InvestorUnknown]Overview
The Realized Price Oscillator is a fundamental analysis tool designed to assess Bitcoin's price dynamics relative to its realized price. The indicator calculates various metrics using data from the realized market capitalization and total supply. It applies normalization techniques to scale values within a specified range, helping investors identify overbought or oversold conditions over the long time horizon. The oscillator also features DCA-based signals to assist in strategic market entry and exit.
Key Features
1. Normalization and Scaling:
The indicator scales values using a limit that can be adjusted for decimal precision (Limit). It allows for both positive and negative values, providing flexibility in analysis.
Decay functionality is included to progressively reduce the extreme values over time, ensuring recent data impacts the oscillator more than older data.
f_rescale(float value, float min, float max, float limit, bool negatives) =>
((limit * (negatives ? 2 : 1)) * (value - min) / (max - min)) - (negatives ? limit : 0)
2. Realized Price Oscillator Calculation:
Realized Price Oscillator is computed using logarithmic differences between the open, high, low, and close prices and the realized price. This helps in identifying how the current market price compares with the average cost basis of the Bitcoin supply.
f_realized_price_oscillator(float realized_price) =>
rpo_o = math.log(open / realized_price)
rpo_h = math.log(high / realized_price)
rpo_l = math.log(low / realized_price)
rpo_c = math.log(close / realized_price)
3. Oscillator Normalization:
The normalized oscillator calculates the range between the maximum and minimum values over time. It adjusts the oscillator values based on these bounds, considering a decay factor. This normalized range assists in consistent signal generation.
normalized_oscillator(float x, float b) =>
float oscillator = b
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
if time >= normalization_start_date
max := max * decay
min := min * decay
normalized_oscillator = f_rescale(x, min, max, lim, neg)
4. Dollar-Cost Averaging (DCA) Signals:
DCA-based signals are generated using user-defined thresholds (DCA IN and DCA OUT). The oscillator triggers buy signals when the normalized low value falls below the DCA IN threshold and sell signals when the normalized high value exceeds the DCA OUT threshold.
5. Visual Representation:
The indicator plots candlestick representations of the normalized Realized Price Oscillator values (open, high, low, close) over time, starting from a specified date (plot_start_date).
Colors are dynamically adjusted using a gradient to represent the state of the oscillator, ranging from green (buy zone) to red (sell zone). Background and bar colors also change based on DCA conditions.
How It Works
Data Sourcing: Realized price data is sourced using Bitcoin’s realized market cap (BTC_MARKETCAPREAL) and total supply (BTC_SUPPLY).
Realized Price Oscillator Metrics: Logarithmic differences between price and realized price are computed to generate Realized Price Oscillator values for open, high, low, and close.
Normalization: The indicator rescales the oscillator values based on a defined limit, adjusting for negative values if allowed. It employs a decay factor to reduce the influence of historical extremes.
Conclusion
The Realized Price Oscillator is a sophisticated tool that combines market price analysis with realized price metrics to offer a robust framework for understanding Bitcoin's valuation. By leveraging normalization techniques and DCA thresholds, it provides actionable insights for long-term investing strategies.
