Fair Value Breakout Strategy by @tradingbauhausThe **Breakaway Fair Value Gaps (BFVG) Strategy** is a trading approach designed to identify and capitalize on significant price gaps that occur within the context of a strong trend. These gaps, known as Fair Value Gaps (FVGs), represent areas where the price moves sharply, leaving behind an imbalance between supply and demand. When these gaps occur during a breakout or a strong trend continuation, they are referred to as **Breakaway Fair Value Gaps (BFVGs)**. This strategy uses these gaps as key levels for entering trades and managing risk.
---
### **Key Concepts**
1. **Fair Value Gap (FVG)**:
- A FVG occurs when the price moves sharply, leaving a gap between the high/low of previous candles and the current candle.
- It represents an imbalance in the market where buyers or sellers are overwhelmingly dominant.
2. **Breakaway Fair Value Gap (BFVG)**:
- A BFVG is a FVG that occurs during a strong trend or breakout, signaling potential continuation of the trend.
- It acts as a key level for entering trades in the direction of the trend.
3. **Mitigation Levels**:
- These are price levels where the market might retrace to "fill the gap" before continuing in the direction of the trend.
- The strategy monitors these levels to determine if the gap is still valid or if it has been mitigated.
---
### **Strategy Rules**
#### **Entry Conditions**
1. **Bullish BFVG**:
- A bullish BFVG occurs when:
- The current low is higher than the high of two candles ago (`low > high `).
- The close of the previous candle is higher than the high of two candles ago (`close > high `).
- **Entry**: Go long (buy) when a bullish BFVG is detected and the price has not yet mitigated the gap.
2. **Bearish BFVG**:
- A bearish BFVG occurs when:
- The current high is lower than the low of two candles ago (`high < low `).
- The close of the previous candle is lower than the low of two candles ago (`close < low `).
- **Entry**: Go short (sell) when a bearish BFVG is detected and the price has not yet mitigated the gap.
#### **Exit Conditions**
1. **Stop Loss**:
- The stop loss is placed at a fixed percentage below the entry price for long trades (`stop = close * (1 - stopLossPerc / 100)`).
- For short trades, the stop loss is placed at a fixed percentage above the entry price (`stop = close * (1 + stopLossPerc / 100)`).
2. **Take Profit**:
- The take profit is placed at a fixed percentage above the entry price for long trades (`limit = close * (1 + takeProfitPerc / 100)`).
- For short trades, the take profit is placed at a fixed percentage below the entry price (`limit = close * (1 - takeProfitPerc / 100)`).
#### **Mitigation Levels**
- If the price retraces and closes within the gap (mitigates the FVG), the gap is considered invalid, and the strategy stops monitoring it.
---
### **Visualization**
- **BFVG Boxes**:
- Bullish BFVGs are highlighted with a green box.
- Bearish BFVGs are highlighted with a red box.
- **Mitigation Lines**:
- Horizontal lines are drawn at the high/low of the gap to indicate the mitigation levels.
---
### **Dashboard**
The strategy includes a dashboard that displays key statistics:
1. **Total BFVGs Detected**:
- The number of bullish and bearish BFVGs identified.
2. **Mitigation Percentage**:
- The percentage of BFVGs that have been mitigated.
3. **Average/Median Duration**:
- The average or median number of candles it takes for a BFVG to be mitigated.
---
### **How It Works**
1. **Trend Identification**:
- The strategy uses a moving window of `length` candles to determine the current trend (highs and lows).
2. **Gap Detection**:
- It scans for FVGs that meet the criteria for BFVGs (strong trend context).
3. **Trade Execution**:
- Enters trades in the direction of the BFVG and manages risk using stop loss and take profit levels.
4. **Mitigation Monitoring**:
- Tracks whether the price retraces to fill the gap, invalidating the BFVG.
---
### **Advantages**
1. **Trend-Following**:
- The strategy capitalizes on strong trends, which often lead to significant price movements.
2. **Clear Entry and Exit Levels**:
- BFVGs provide well-defined levels for entering trades and managing risk.
3. **Flexibility**:
- Parameters like `length`, `stopLossPerc`, and `takeProfitPerc` can be adjusted to suit different trading styles.
---
### **Example**
- **Bullish BFVG**:
- The price is in an uptrend. A bullish BFVG is detected, and a long trade is entered.
- The stop loss is placed 1% below the entry price, and the take profit is placed 2% above.
- **Bearish BFVG**:
- The price is in a downtrend. A bearish BFVG is detected, and a short trade is entered.
- The stop loss is placed 1% above the entry price, and the take profit is placed 2% below.
---
### **Conclusion**
The **Breakaway Fair Value Gaps Strategy** is a systematic approach to trading strong trends by identifying and exploiting price gaps. It combines clear entry signals with robust risk management, making it suitable for traders who prefer trend-following strategies. By monitoring mitigation levels and using a dashboard for performance tracking, the strategy provides a comprehensive framework for trading BFVGs.
אינדיקטורים ואסטרטגיות
US and Asia Trading Hoursadds vertical lines to your chart that show US trading hours 9-4 and NY trading hours based off of EST
Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
Multi Timeframe MAsThis Pine Script indicator, titled "Multi Timeframe MAs," allows you to plot Exponential Moving Averages (EMAs) or Simple Moving Averages (SMAs) from multiple timeframes on a single chart. This helps traders and analysts visualize and compare different moving averages across various timeframes without having to switch between charts.
Key Features:
Multiple Timeframes:
The script supports six different timeframes, ranging from minutes to weekly intervals.
Users can input their desired timeframes, including custom settings such as "60" (60 minutes), "D" (daily), and "W" (weekly).
Moving Average Types:
Users can choose between Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) for each timeframe.
The script utilizes a ternary operator to determine whether to calculate an EMA or an SMA based on user input.
Customizable Periods:
Each moving average can have a different period, allowing for flexibility in analysis.
The default periods are set to commonly used values (e.g., 15, 20, 5, 12).
Visibility Controls:
Users can toggle the visibility of each moving average line, enabling or disabling them as needed.
This feature helps declutter the chart when specific moving averages are not required.
Black Stepped Lines:
All moving averages are plotted as black, stepped lines to provide a clear and consistent visual representation.
This makes it easy to distinguish these lines from other elements on the chart.
Example Use Cases:
Trend Analysis: Compare short-term and long-term trends by visualizing moving averages from different timeframes on a single chart.
Support and Resistance Levels: Identify key support and resistance levels across multiple timeframes.
Cross-Timeframe Strategy: Develop and test trading strategies that rely on the confluence of moving averages from different timeframes.
This script offers a powerful tool for traders and analysts who want to gain deeper insights into market movements by examining moving averages across multiple timeframes. With its customizable settings and user-friendly interface, it provides a versatile solution for a wide range of trading and analytical needs.
[Au Adaptive Trend Bollinger Bands Buy/Sell-V1]### **Adaptive Trend Bollinger Bands Buy/Sell-V1 Pine Script Indicator: Detailed Overview**
This **Pine Script** indicator is designed for the **TradingView** platform and combines two popular concepts in technical analysis: **Bollinger Bands** and **Adaptive Trend Analysis**. The purpose of this strategy is to detect buy and sell signals based on specific market conditions, making it suitable for both trending and ranging markets. Below, we will go through the indicator in detail, explaining the functionality of each component.
---
### **1. Indicator Basics: Adaptive Trend Bollinger Bands**
**Bollinger Bands** are a well-known technical analysis tool used to measure market volatility. These bands consist of a middle line (usually a moving average) and two outer bands that are placed at a certain number of standard deviations above and below the middle line.
This indicator enhances the traditional Bollinger Bands by introducing an **Adaptive Trend** element. Instead of using a fixed period for the moving average and the standard deviation, the indicator adjusts based on market conditions, making it more responsive and adaptive to changes in the market.
---
### **2. User Inputs**
In the script, users can modify several parameters to adjust the indicator to their preferences:
- **`length` (Moving Average Length)**:
- This determines the period for calculating the moving average. The default value is 20.
- **`mult` (Standard Deviation Multiplier)**:
- This multiplier adjusts the width of the Bollinger Bands by scaling the standard deviation. The default value is 2.0.
- **`useHeikinAshi` (Use Heikin-Ashi Candles?)**:
- This is a boolean (true/false) input. If set to true, the indicator will use Heikin-Ashi candles for price calculation instead of regular candles. Heikin-Ashi candles smooth out price movements and help identify trends more clearly.
- **`maType` (Moving Average Type)**:
- This input allows you to choose between a **Simple Moving Average (SMA)** or an **Exponential Moving Average (EMA)** for trend calculation.
- **`trendMultiplier` (Trend Multiplier)**:
- This multiplier is used to adjust the length of the trend. It makes the trend length adaptive, depending on market conditions.
---
### **3. Heikin-Ashi Calculations**
If `useHeikinAshi` is set to true, the script uses **Heikin-Ashi** candles for price calculation instead of regular price data. Heikin-Ashi candles are useful for smoothing out market noise and providing clearer signals for trend direction.
The Heikin-Ashi close is calculated as the average of the open, high, low, and close:
```pine
haClose = (open + high + low + close) / 4
```
The Heikin-Ashi open is calculated as the average of the open and close of the previous bar:
```pine
haOpen = (haOpen + haClose ) / 2
```
---
### **4. Adaptive Trend Calculation**
The trend length is dynamically adjusted based on the `length` and `trendMultiplier` inputs. This allows the indicator to adapt to different market conditions and determine the best trend length for analysis.
```pine
trendLength = math.round(length * trendMultiplier)
```
This dynamic trend length allows the indicator to react faster in volatile markets and smoother in stable markets.
---
### **5. Moving Average and Bollinger Bands**
The script calculates a moving average based on the selected type (SMA or EMA), and the Bollinger Bands are then drawn around it.
- The **upper band** is calculated by adding the scaled standard deviation to the moving average.
- The **lower band** is calculated by subtracting the scaled standard deviation from the moving average.
---
### **6. Buy and Sell Signals**
- **Buy Signal**: Triggered when the price crosses below the lower Bollinger Band (`crossunder`).
- **Sell Signal**: Triggered when the price crosses above the upper Bollinger Band (`crossover`).
---
### **7. Plotting Buy/Sell Signals**
The `plotshape` function is used to draw shapes (arrows) on the chart to visually represent buy and sell signals:
- **Green arrow** for buy signals.
- **Red arrow** for sell signals.
These signals help traders identify entry and exit points on the chart.
---
### **8. Alerts**
The script also has alert conditions, which can notify the user when buy or sell signals are detected:
- **Buy Alert**: When the price crosses below the lower Bollinger Band.
- **Sell Alert**: When the price crosses above the upper Bollinger Band.
---
### **Conclusion**
The **Adaptive Trend Bollinger Bands with Buy/Sell-V1** indicator provides traders with a dynamic and adaptive method for analyzing trends and volatility. By combining moving averages and Bollinger Bands with Heikin-Ashi candles, it offers enhanced signals for both trending and ranging markets. The adaptive trend calculation ensures that the indicator reacts flexibly to market changes, providing more accurate buy and sell signals.
---
---
### **Türkçe Açıklama:**
---
### **Adaptive Trend Bollinger Bands with Buy/Sell-V1 Pine Script Gösterge Kodu: Detaylı İnceleme**
Bu **Pine Script** göstergesi, **TradingView** platformu için tasarlanmış ve teknik analizde yaygın olarak kullanılan iki kavramı birleştiren bir stratejidir: **Bollinger Bantları** ve **Adaptif Trend Analizi**. Bu stratejinin amacı, belirli piyasa koşullarına dayalı olarak alış ve satış sinyalleri tespit etmektir. Hem trend piyasaları hem de yatay (range) piyasalar için uygun olan bu strateji, fiyat hareketlerini daha doğru bir şekilde analiz etmeye yardımcı olur.
---
### **1. Gösterge Temelleri: Adaptive Trend Bollinger Bands**
**Bollinger Bantları**, finansal piyasalarda volatiliteyi ölçmek ve fiyat hareketlerini analiz etmek için yaygın olarak kullanılan bir araçtır. Bu bantlar, bir hareketli ortalamanın etrafında, genellikle standart sapmanın iki katı kadar uzaklıkta çizilen üst ve alt iki çizgiden oluşur.
Bu gösterge, **Adaptif Trend** özelliğini ekleyerek, geleneksel Bollinger Bantları hesaplamalarını geliştirmektedir. Bu, piyasa koşullarına göre dinamik olarak ayarlanan bir trend uzunluğu kullanarak, fiyat hareketlerine daha duyarlı ve adapte olabilen bir analiz sunar.
---
### **2. Kullanıcı Giriş Parametreleri**
Bu gösterge, kullanıcılara aşağıdaki parametreleri değiştirme ve özelleştirme imkanı sunar:
- **`length` (Hareketli Ortalama Uzunluğu)**:
- Bu, hareketli ortalamanın hesaplanacağı dönem uzunluğudur. Varsayılan değer: 20.
- **`mult` (Standart Sapma Çarpanı)**:
- Bu çarpan, Bollinger Bantları'nın genişliğini ayarlamak için kullanılır. Varsayılan değer: 2.0.
- **`useHeikinAshi` (Heikin-Ashi Kullanılsın mı?)**:
- Eğer bu parametre `true` yapılırsa, gösterge Heikin-Ashi mumlarını kullanır. Heikin-Ashi, fiyat hareketlerini yumuşatarak trendlerin daha net bir şekilde görünmesini sağlar.
- **`maType` (Hareketli Ortalama Tipi)**:
- Kullanıcı, hareketli ortalamanın türünü seçebilir: **SMA** (Basit Hareketli Ortalama) veya **EMA** (Üssel Hareketli Ortalama).
- **`trendMultiplier` (Trend Çarpanı)**:
- Trend uzunluğunu dinamik olarak ayarlamak için kullanılan bir çarpandır. Bu, piyasa koşullarına göre trendin hızını değiştirmeye olanak tanır.
---
### **3. Heikin-Ashi Hesaplamaları**
Eğer `useHeikinAshi` seçeneği `true` yapılırsa, gösterge Heikin-Ashi mumlarını kullanır. Heikin-Ashi, geleneksel mumlardan farklı olarak, fiyat hareketlerini yumuşatarak net bir trend analizi sağlar.
Heikin-Ashi kapanış fiyatı, açık, yüksek, düşük ve kapanış fiyatlarının ortalaması alınarak hesaplanır:
```pine
haClose = (open + high + low + close) / 4
```
Heikin-Ashi açılışı ise, bir önceki mumun açılış ve kapanış fiyatlarının ortalaması olarak hesaplanır:
```pine
haOpen = (haOpen + haClose ) / 2
```
---
### **4. Adaptif Trend Hesaplaması**
Bu gösterge, trend uzunluğunu piyasa koşullarına göre dinamik bir şekilde ayarlar. Bu, fiyatın volatilitesine göre trendin daha kısa veya daha uzun olmasına olanak tanır.
```pine
trendLength = math.round(length * trendMultiplier)
```
Bu adaptif trend hesaplaması, göstergeyi volatil piyasalarda daha hızlı tepki verirken, durağan piyasalarda daha istikrarlı hale getirir.
---
### **5. Hareketli Ortalama ve Bollinger Bantları**
Gösterge, hareketli ortalamanın tipi (SMA veya EMA) seçilerek hesaplanır ve Bollinger Bantları bu hareketli ortalama etrafında çizilir
.
- **Üst Bant**: Hareketli ortalama + standart sapma çarpanı.
- **Alt Bant**: Hareketli ortalama - standart sapma çarpanı.
---
### **6. Alış ve Satış Sinyalleri**
- **Alış Sinyali**: Fiyat, alt Bollinger Bandının altına düşerse tetiklenir (`crossunder`).
- **Satış Sinyali**: Fiyat, üst Bollinger Bandını yukarı doğru keserse tetiklenir (`crossover`).
---
### **7. Sinyallerin Görselleştirilmesi**
`plotshape` fonksiyonu, alış ve satış sinyallerini grafik üzerinde oklar (şekiller) olarak gösterir:
- **Yeşil ok**: Alış sinyali.
- **Kırmızı ok**: Satış sinyali.
---
### **8. Alarmlar**
Gösterge, alış ve satış sinyalleri tespit edildiğinde kullanıcıya bildirim gönderebilir.
- **Alış Alarmı**: Fiyat alt Bollinger Bandına dokunduğunda tetiklenir.
- **Satış Alarmı**: Fiyat üst Bollinger Bandına dokunduğunda tetiklenir.
---
### **Sonuç**
**Adaptive Trend Bollinger Bands with Buy/Sell-V1** göstergesi, dinamik ve adaptif bir analiz sunarak yatırımcılara piyasa trendlerini daha doğru bir şekilde takip etme imkanı verir. Hem trendli hem de yatay piyasalar için kullanılabilir ve doğru alış/satış sinyalleri sağlayarak daha sağlam ticaret kararları alınmasına yardımcı olur.
RSI By E.Sabatino 65|35RSI By E.Sabatino 65|35
RSI che mette dei pallini di avvertimento sui livelli indicati
Utile per vedere subito zone ipervenduto e ipercomprato e per tracciare manualmente livelli e zone chiave per chi usa una strategia price action
Z-Score Indicator by RafIf the z-score goes above 2, this may indicate overbought and If the z-score goes below -2, this may indicate oversold
CYP STRUCTURE AND RANGEThis open-source indicator combines market structure analysis based on the Lux Algo methodology with range detection techniques inspired by Lazy Bear’s range identifier. It’s designed to help traders identify key market structures and potential ranges in price action, enabling more informed trading decisions.
Features:
Market Structure Analysis: Uses the Lux Algo market structure concept to detect trending and reversal zones.
Range Detection: Implements Lazy Bear’s range identification logic to highlight significant price ranges.
Customizable: Fully customizable inputs to adjust sensitivity and timeframes based on user preferences.
Open Source: This code is freely available for modification, redistribution, and educational use.
Credits:
Lux Algo for the market structure concept.
Lazy Bear for the range detection logic.
This indicator is open-source, and I encourage traders and developers to contribute, suggest improvements, and modify the code for their needs.
Flux Advanced Options Strategy - Short TermThis Pine Script is designed for traders looking for a comprehensive technical analysis tool that integrates multiple indicators to provide actionable trading signals. The “Flux Advanced Strategy” combines RSI, KST, VWAP, and MACD to form a composite score that triggers buy and sell signals based on the confluence of these indicators.
How It Works:
• Relative Strength Index (RSI): Measures the speed and change of price movements. A value above 50 suggests bullish momentum, while below 50 indicates bearish momentum.
• Know Sure Thing (KST): A momentum oscillator that combines multiple rate-of-change (ROC) indicators to gauge the overall trend. A KST above its signal line suggests bullish conditions.
• Volume Weighted Average Price (VWAP): Provides a snapshot of average price weighted by volume. Prices above the VWAP indicate bullish sentiment, and below suggest bearish sentiment.
• Moving Average Convergence Divergence (MACD): Shows the relationship between two moving averages of a security’s price. A MACD line above its signal line is bullish, and below is bearish.
Composite Scoring System:
Each indicator contributes to a score. If the RSI is above 50, the score increases by 1. If the KST is above its signal, the score increases by another 1. Similarly, if the price is above the VWAP and the MACD line is above the signal line, they each add 1 to the score. The script uses this score to decide on trading signals:
• Buy Signal: A score of 3 or higher triggers a buy signal, suggesting a strong bullish consensus among the indicators.
• Sell Signal: A score of 1 or lower triggers a sell signal, indicating strong bearish sentiment.
Usage:
• Inputs: Traders can adjust the lengths of RSI, KST, VWAP, and MACD directly in the script settings to customize the sensitivity and period based on their trading style and the asset’s characteristics.
• Visualization: Buy signals are marked with green labels below the price bars, while sell signals are marked with red labels above the price bars. The background color also changes to green for buy zones and red for sell zones to provide visual cues for market sentiment.
• Alerts: The script can trigger alerts when a buy or sell condition is met, allowing traders to act promptly on potential trading opportunities.
Recommended For:
This script is ideal for intermediate to advanced traders who understand the nuances of the indicators involved and seek a robust analytical tool for day trading or swing trading in volatile markets. It is particularly useful for stocks, forex, or cryptocurrencies where combining these indicators can provide a powerful insight into market dynamics.
Use this script on your TradingView charts to enhance your trading strategy by making informed decisions based on a sophisticated analysis of multiple technical indicators.
Deshmukh DivergenceRSI Divergence with Moving Average Indicator
Description:
This indicator combines RSI divergence signals with a moving average (MA) on the RSI for enhanced trend analysis and signal confirmation. It identifies regular and hidden divergences between the price and RSI values, generating buy/sell signals based on these patterns. The added RSI moving average allows users to spot smoother trends and potential reversals.
How It Works:
RSI Calculation:
The Relative Strength Index (RSI) is calculated using the user-defined length.
Helps identify overbought and oversold conditions.
RSI Moving Average:
A simple moving average (SMA) is applied to the RSI to smooth its fluctuations.
Provides a clearer view of RSI trends.
Divergence Detection:
Regular Divergence:
Buy Signal: Price makes a lower low, but RSI makes a higher low.
Sell Signal: Price makes a higher high, but RSI makes a lower high.
Hidden Divergence:
Buy Signal: Price makes a higher low, but RSI makes a lower low.
Sell Signal: Price makes a lower high, but RSI makes a higher high.
Signal Visualization:
Signals are displayed as labeled shapes on the chart:
Green Up Arrow: Regular Buy.
Red Down Arrow: Regular Sell.
Blue Up Arrow: Hidden Buy.
Orange Down Arrow: Hidden Sell.
Overbought/Oversold Levels:
Horizontal lines mark overbought (70) and oversold (30) zones for quick reference.
This indicator is suitable for traders looking to identify potential trend reversals or continuations with the help of divergence patterns and RSI smoothing
Crawblanc by SiriusThe "Crawblanc by Sirius" is a Pine Script indicator designed for use on the TradingView platform. It implements an advanced ZigZag structure analysis with extended visualization options, offering traders a detailed representation of market patterns. Here's a breakdown of its features:
ZigZag Structure Detection:
Identifies market high and low points based on customizable depth, deviation, and backstep parameters.
Allows traders to observe directional changes (bullish or bearish) and significant trend reversals.
Customizable Visual Elements:
Display settings for lines, triangles, and labels associated with market structures.
Adjustable transparency, label size, and colors for bullish and bearish formations.
Optional display of triangle IDs and areas, calculated dynamically based on detected points.
Interactive Inputs:
Enables toggling between calculation methods (e.g., open/close vs. low/high prices).
Allows customization of transparency levels, line thickness, and label styles to suit individual preferences.
Advanced Calculations:
Triangle areas and center points are calculated for enhanced visualization.
Supports projection and center-point calculations to provide additional market insights.
Real-Time Updating:
Dynamically updates on price changes, deleting and redrawing lines and labels as necessary.
Displays point IDs and triangle areas, helping traders track ongoing market conditions.
Color Coding:
Distinct colors for bullish (green/blue tones) and bearish (red/yellow tones) phases.
Automatic color inversion for labels to ensure clear visibility on various backgrounds.
Extensibility:
Users can choose to extend lines or restrict them to specific areas.
Supports up to 500 lines, labels, and boxes, making it suitable for detailed analyses.
Use Case:
This indicator is highly beneficial for traders seeking to:
Identify support and resistance levels.
Analyze market patterns for entry and exit opportunities.
Understand complex structures like triangles and trends dynamically in real time.
The combination of user-friendly inputs and advanced visualization tools makes it ideal for technical analysts focused on improving decision-making through graphical insights.
Support And Resistance | EcoX TradingPurpose
This indicator identifies key support and resistance levels and visualizes them alongside Bollinger Bands. It is designed specifically for the 1-minute timeframe, targeting liquidity zones through higher timeframe levels. The indicator assists traders in spotting potential reversal zones and overbought/oversold conditions. While it highlights important price levels, it is not intended for precise entry or exit signals and works best when combined with other tools like RSI, SMI, AI Trend or indicator of your choice.
Calculation Overview
Support and Resistance Levels:
Derived from ta.lowest() and ta.highest() functions for specific intervals:
15 minutes, 1 hour, 2 hours, 4 hours, 12 hours, and 1 day.
These intervals are carefully selected to capture liquidity zones respected by price action.
Bollinger Bands:
Uses a 200-period volume-weighted moving average (VWMA) as the basis.
The bands are calculated with a 3x standard deviation, marking extreme price levels.
Usage / Example Scenario
1. Long Positions
Identify a Strong Support Level:
Locate a support level (e.g., 2-hour support in green) that the price consistently bounces off without breaking lower.
Confirm Liquidity:
Check the order book and market depth chart to confirm the presence of substantial limit buy orders just below the support.
Strong liquidity reinforces the potential for a reversal at the support level.
Entry Strategy:
Open a long position when the price approaches the support level and shows signs of reversal (e.g., respecting the support without further downward momentum).
Exit Strategy:
Exit the position near a resistance level (e.g., 4-hour resistance in yellow) where the price has historically struggled to break higher.
2. Short Positions
Identify a Strong Resistance Level:
Find a resistance level (e.g., 1-hour resistance in orange) where the price frequently gets rejected.
Confirm Liquidity:
Use the order book and market depth chart to verify significant limit sell orders above the resistance.
Strong sell-side liquidity indicates a high probability of a reversal at this level.
Entry Strategy:
Open a short position when the price approaches the resistance level and shows signs of reversal (e.g., failing to move higher and respecting the resistance zone).
Exit Strategy:
Close the position near a support level (e.g., 2-hour support in green) where buying pressure is likely to occur.
Disclaimer
This indicator is a technical tool for identifying price zones of interest. It does not guarantee accurate entry or exit points. Always use it as part of a broader trading strategy.
Adaptive Trend Finder - Pulse Frequency(Basic)The Adaptive Pulse Frequency & Amplitude Trend Indicator is a Pine Script-based tool designed for lower timeframe volume analysis and trend detection. By analyzing volume dynamics and identifying significant "pulses" in market activity, this indicator provides insights into bullish and bearish trends. Here's an overview of its key features and components:
1. Lower Timeframe Volume Analysis
Custom Timeframe Input: The indicator scans lower timeframe data to approximate Up/Down volume, with an optional override to set a custom timeframe.
Volume Delta Calculation: Tracks changes in volume (deltaVolume), representing the difference between up and down volume for each bar.
2. Adaptive Pulse Detection
Rolling Percentile Threshold: Dynamically calculates a threshold based on the pulsePercentile of the absolute delta volume within a specified lookback period (pulseLookback).
Pulse Identification: Bars where the absolute delta volume exceeds the adaptive threshold are classified as "pulses," indicating significant market activity.
Bullish Pulse: Positive delta volume exceeding the threshold.
Bearish Pulse: Negative delta volume exceeding the threshold.
3. Frequency & Amplitude Analysis
Pulse Frequency: Measures the number of bullish or bearish pulses within a rolling window (freqLookback), providing insights into the activity level.
Pulse Amplitude: Computes the cumulative volume delta for bullish and bearish pulses over a defined period (ampLookback), offering a finer view of market strength:
Bullish Amplitude: Sum of positive delta volume for bullish pulses.
Bearish Amplitude: Sum of absolute delta volume for bearish pulses.
4. Trend Logic
Trend Classification:
Bullish Trend: Higher bullish pulse frequency and amplitude.
Bearish Trend: Higher bearish pulse frequency and amplitude.
Neutral Trend: Mixed or inconclusive signals.
Advanced Metrics: Combines frequency and amplitude for robust trend assessment.
5. Visualization
Dynamic Threshold: Plots the adaptive threshold for real-time pulse detection.
Trend Visualization: Colors the chart background based on the identified trend (Bullish, Bearish, Neutral).
Amplitude and Frequency Lines: Displays separate plots for:
Net Frequency (Bullish - Bearish pulses).
Net Amplitude (Bullish amplitude - Bearish amplitude).
Individual bullish and bearish amplitudes for reference.
Use Case
This indicator is ideal for traders seeking to:
Analyze market activity on lower timeframes.
Identify shifts in bullish/bearish momentum through volume dynamics.
Enhance trend-following strategies with adaptive frequency and amplitude metrics.
With its focus on precision and adaptability, the Adaptive Pulse Frequency & Amplitude Trend Indicator is a powerful tool for volume-based market analysis.
ZigZaglibraryLibrary "ZigZaglibrary"
method lastPivot(this)
Returns the last `Pivot` object from a `ZigZag` instance if it contains at
least one `Pivot`, and `na` otherwise.
Can be used as a function or method.
Namespace types: ZigZag
Parameters:
this (ZigZag) : (series ZigZag) A `ZigZag` object.
Returns: (Pivot) The last `Pivot` object in the `ZigZag`.
method update(this)
Updates a `ZigZag` objects with new pivots, volume, lines, and labels.
NOTE: This function must be called on every bar for accurate calculations.
Can be used as a function or method.
Namespace types: ZigZag
Parameters:
this (ZigZag) : (series ZigZag) A `ZigZag` object.
Returns: (bool) `true` when a new pivot point is registered and the `ZigZag` is updated,
`false` otherwise.
newInstance(settings)
Instantiates a new `ZigZag` object with optional `settings`.
If no `settings` are provided, creates a `ZigZag` object with default settings.
Parameters:
settings (Settings) : (series Settings) A `Settings` object.
Returns: (ZigZag) A new `ZigZag` instance.
Settings
Provides calculation and display properties to `ZigZag` objects.
Fields:
devThreshold (series float) : The minimum percentage deviation from a point before the `ZigZag` changes direction.
depth (series int) : The number of bars required for pivot detection.
lineColor (series color) : The color of each line drawn by the `ZigZag`.
extendLast (series bool) : A condition allowing a line to connect the most recent pivot with the current close.
displayReversalPrice (series bool) : A condition to display the pivot price in the pivot label.
displayCumulativeVolume (series bool) : A condition to display the cumulative volume for the pivot segment in the pivot label.
displayReversalPriceChange (series bool) : A condition to display the change in price or percent from the previous pivot in each pivot label.
differencePriceMode (series string) : The reversal change display mode. Options are "Absolute" or "Percent".
draw (series bool) : A condition to determine whether the `ZigZag` displays lines and labels.
allowZigZagOnOneBar (series bool) : A condition to allow double pivots i.e., when a large bar makes both a pivot high and a pivot low.
Pivot
Represents a significant level that indicates directional movement or potential support and resistance.
Fields:
ln (series line) : A `line` object connecting the `start` and `end` chart points.
lb (series label) : A `label` object to display pivot values.
isHigh (series bool) : A condition to determine whether the pivot is a pivot high.
vol (series float) : The cumulative volume for the pivot segment.
start (chart.point) : A `chart.point` object representing the coordinates of the previous point.
end (chart.point) : A `chart.point` object representing the coordinate of the current point.
ZigZag
An object to maintain a Zig Zag's settings, pivots, and cumulative volume.
Fields:
settings (Settings) : A `Settings` object to provide calculation and display properties.
pivots (array) : An array of `Pivot` objects.
sumVol (series float) : The volume sum for the current `Pivot` object's line segment.
extend (Pivot) : A `Pivot` object used to project a line from the last pivot point to the current bar.
WD Gann: Close Price X Bars Ago with Line or Candle PlotThis indicator is inspired by the principles of WD Gann, a legendary trader known for his groundbreaking methods in time and price analysis. It helps traders track the close price of a security from X bars ago, a technique that is often used to identify key price levels in relation to past price movements. This concept is essential for Gann’s market theories, which emphasize the relationship between time and price.
WD Gann’s analysis often revolved around specific numbers that he considered significant, many of which correspond to squared numbers (e.g., 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361, 400, 441, 484, 529, 576, 625, 676, 729, 784, 841, 900, 961, 1024, 1089, 1156, 1225, 1296, 1369, 1444, 1521, 1600, 1681, 1764, 1849, 1936). These numbers are believed to represent natural rhythms and cycles in the market. This indicator can help you explore how past price levels align with these significant numbers, potentially revealing key price zones that could act as support, resistance, or reversal points.
Key Features:
- Historical Close Price Calculation: The indicator calculates and displays the close price of a security from X bars ago (where X is customizable). This method aligns with Gann's focus on price relationships over specific time intervals, providing traders with valuable reference points to assess market conditions.
- Customizable Plot Type: You can choose between two plot types for visualizing the historical close price:
- Line Plot: A simple line that represents the close price from X bars ago, ideal for those who prefer a clean and continuous representation.
- Candle Plot: Displays the close price as a candlestick chart, providing a more detailed view with open, high, low, and close prices from X bars ago.
- Candle Color Coding: For the candle plot type, the script color-codes the candles. Green candles appear when the close price from X bars ago is higher than the open price, indicating bullish sentiment; red candles appear when the close is lower, indicating bearish sentiment. This color coding gives a quick visual cue to market sentiment.
- Customizable Number of Bars: You can adjust the number of bars (X) to look back, providing flexibility for analyzing different timeframes. Whether you're conducting short-term or long-term analysis, this input can be fine-tuned to suit your trading strategy.
- Gann Method Application: WD Gann's methods involved analyzing price action over specific time periods to predict future movements. This indicator offers traders a way to assess how the price of a security has behaved in the past in relation to a chosen time interval, a critical concept in Gann's theories.
How to Use:
1. Input Settings:
- Number of Bars (X): Choose the number of bars to look back (e.g., 100, 200, or any custom period).
- Plot Type: Select whether to display the data as a Line or Candles.
2. Interpretation:
- Using the Line plot, observe how the close price from X bars ago compares to the current market price.
- Using the Candles plot, analyze the full price action of the chosen bar from X bars ago, noting how the close price relates to the open, high, and low of that bar.
3. Gann Analysis: Integrate this indicator into your broader Gann-based analysis. By looking at past price levels and their relationship to significant squared numbers, traders can uncover potential key levels of support and resistance or even potential reversal points. The historical close price can act as a benchmark for predicting future market movements.
Suggestions on WD Gann's Emphasis in Trading:
WD Gann’s trading methods were rooted in several key principles that emphasized the relationship between time and price. These principles are vital to understanding how the "Close Price X Bars Ago" indicator fits into his overall analysis:
1. Time Cycles: Gann believed that markets move in cyclical patterns. By studying price levels from specific time intervals, traders can spot these cycles and predict future market behavior. This indicator allows you to see how the close price from X bars ago relates to current market conditions, helping to spot cyclical highs and lows.
2. Price and Time Squaring: A core concept in Gann’s theory is that certain price levels and time periods align, often marking significant reversal points. The squared numbers (e.g., 1, 4, 9, 16, 25, etc.) serve as potential key levels where price and time might "square" to create support or resistance. This indicator helps traders spot these historical price levels and their potential relevance to future price action.
3. Geometric Angles: Gann used angles (like the 45-degree angle) to predict market movements, with the belief that prices move at specific geometric angles over time. This indicator gives traders a reference for past price levels, which could align with key angles, helping traders predict future price movement based on Gann's geometry.
4. Numerology and Key Intervals: Gann paid particular attention to numbers that held significance, including squared numbers and numbers related to the Fibonacci sequence. This indicator allows traders to analyze price levels based on these key numbers, which can help in identifying potential turning points in the market.
5. Support and Resistance Levels: Gann’s methods often involved identifying levels of support and resistance based on past price action. By tracking the close price from X bars ago, traders can identify past support and resistance levels that may become significant again in future market conditions.
Perfect for:
Traders using WD Gann’s methods, such as Gann angles, time cycles, and price theory.
Analysts who focus on historical price levels to predict future price action.
Those who rely on numerology and geometric principles in their trading strategies.
By integrating this indicator into your trading strategy, you gain a powerful tool for analyzing market cycles and price movements in relation to key time intervals. The ability to track and compare the historical close price to significant numbers—like Gann’s squared numbers—can provide valuable insights into potential support, resistance, and reversal points.
Disclaimer:
This indicator is based on the methods and principles of WD Gann and is for educational purposes only. It is not intended as financial advice. Trading involves significant risk, and you should not trade with money that you cannot afford to lose. Past performance is not indicative of future results. The use of this indicator is at your own discretion and risk. Always do your own research and consider consulting a licensed financial advisor before making any investment decisions.
BTC Slayer 9000 - Relative Risk-adjusted performanceBTC Slayer 9000: Relative Risk-Adjusted Performance
Dear friends and fellow traders,
I am pleased to introduce the BTC Slayer 9000, a script designed to provide clear insights into risk-adjusted performance relative to a benchmark. Whether you're navigating the volatile world of cryptocurrencies or exploring opportunities in stocks, this tool helps you make informed decisions by comparing assets against your chosen benchmark.
What Does It Do?
This indicator is based on the Ulcer Index (UI), a metric that measures downside risk. It calculates the Ulcer Performance Index (UPI), which combines returns and downside risk, and compares it to a benchmark (like BTC/USDT, SPY500, or any trading pair).
The result is the Relative UPI (RUPI):
Positive RUPI (green area): The asset's risk-adjusted performance is better than the benchmark.
Negative RUPI (red area): The asset's risk-adjusted performance is worse than the benchmark.
Why Use It?
Risk vs. Reward: See if the extra risk of an asset is justified by its returns.
Customizable Benchmark: Compare any asset against BTC, SPY500, or another chart.
Dynamic Insights: Quickly identify outperforming assets for long positions and underperformers for potential shorts.
How to Use:
Inputs:
Adjust the lookback period to set the time frame for analysis. 720 Period is meant to represent 30 days. I like to use 168 period because I do not hold trades for long.
Choose your comparison chart (e.g., BTC/USDT, SPY500, AAPL, etc.).
Interpretation:
Green Area Above 0: The asset offers better risk-adjusted returns than the benchmark.
Red Area Below 0: The benchmark is a safer or more rewarding option.
Perfect for All Traders
Whether you:
Trade Cryptocurrencies: Compare altcoins to BTC.
Invest in Stocks: Compare individual stocks to indices like SPY500.
Evaluate Portfolio Options: Decide between assets like AAPL or TSLA.
This indicator equips you with a systematic way to evaluate "Is the extra risk worth it?".
The script was compiled in Collaboration with ChatGPT
London New York Sessions (simple)A simple TradingView indicator that visualizes London and New York trading sessions on your charts. It displays session boxes with custom colors and highlights the high/low range for each session. Features include:
- Customizable time ranges for both London (08:00-16:30 UTC) and New York (13:00-22:00 UTC) sessions
- Color-coded session boxes with labels
- Real-time session status indicator table
- Session overlap visualization
- High/low range tracking for each session period
Hammer and Reverse Hammer Candles HighlightHammer and Reverse Hammer Candles Highlight Indicator
The Hammer Candle Highlight Indicator is a visual tool designed to identify and highlight hammer candles on the chart. Hammer candles are a significant price action signal, often associated with potential reversals or strong buying pressure, and are characterized by a long lower wick relative to the body size.
Core Features:
Hammer Candle Detection:
Identifies candles where:
The lower wick is at least 3 times the size of the body (customizable via settings).
The upper wick is smaller than or equal to the body.
Customizable Wick-to-Body Ratio:
The user can adjust the ratio to control the sensitivity of hammer detection.
Default ratio is set to 3.0.
Default ratio is set to 2.5.
Chart Highlighting:
Candles meeting the hammer criteria are highlighted with a semi-transparent background for easy visualization.
Alerts:
Alerts notify the user when a hammer candle is detected.
Use Cases:
Reversal Signal:
Hammer candles often indicate a potential bullish reversal after a downtrend.
They show strong buying interest after a period of downward pressure.
Support Level Confirmation:
Hammer candles forming near support levels may validate the level and indicate a strong bounce.
Trend Continuation:
In some cases, hammers within an uptrend may signal renewed buying momentum.
Customization Options:
Wick-to-Body Ratio:
Adjust the ratio (wickMultiplier) to fine-tune hammer detection.
Example: A ratio of 3.0 means the lower wick must be at least 3 times the size of the body.
Highlight Color:
Customize the background color (highlightColor) for hammer candles on the chart.
How It Works:
Calculations:
Body: Absolute difference between the candle's open and close.
Lower Wick: Distance between the lower of the open/close and the low.
Upper Wick: Distance between the higher of the open/close and the high.
Hammer Conditions:
Lower wick must be greater than or equal to 3 times the body size.
Upper wick must be less than or equal to the body size.
Visualization:
Candles meeting the criteria are highlighted on the chart.
Alerts:
Users can configure alerts for real-time notifications when hammer candles are detected.
Benefits:
Time-Saving:
Automates the identification of hammer candles, saving time and effort.
Customizable:
Flexible settings allow traders to adjust detection parameters to fit their strategy.
Actionable Insights:
Provides actionable signals for potential reversals or trend continuations.
Ideal For:
Traders relying on price action strategies.
Swing traders and scalpers looking for reversal signals near key levels.
Traders using support/resistance analysis or ICT trading concepts.
This indicator simplifies the process of detecting hammer candles, making it a valuable addition to any trader's toolkit. Let me know if you’d like further enhancements!
London - New York Indicator (simple)A simple TradingView indicator that visualizes London and New York trading sessions on your charts. It displays session boxes with custom colors and highlights the high/low range for each session. Features include:
- Customizable time ranges for both London (08:00-16:30 UTC) and New York (13:00-22:00 UTC) sessions
- Color-coded session boxes with labels
- Real-time session status indicator table
- Session overlap visualization
- High/low range tracking for each session period
GainzAlgo Standard// © GainzAlgo
//@version=5
indicator('GainzAlgo Standard', overlay=true, max_labels_count=500)
stable_candle = math.abs(close - open) / ta.tr > .5
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below_50 = rsi < 50
decrease_over_5 = close < close
bull = bullish_engulfing and stable_candle and rsi_below_50 and decrease_over_5
bearish_engulfing = close > open and close < open and close < open
rsi_above_50 = rsi > 50
increase_over_5 = close > close
bear = bearish_engulfing and stable_candle and rsi_above_50 and increase_over_5
label.new(bull ? bar_index : na, low, 'BUY', color=color.rgb(0, 255, 8), style=label.style_label_up, textcolor=color.white, size=size.large)
label.new(bear ? bar_index : na, high, 'SELL', color=color.rgb(255, 0, 0), style=label.style_label_down, textcolor=color.white, size=size.large)
RSI Oversold/Overbought StrategyExplanation of the Script:
Version Declaration and Strategy Initialization:
//@version=5 specifies that the script uses Pine Script version 5.
strategy("RSI Oversold/Overbought Strategy", overlay=true) initializes the strategy with the given name and overlays it on the price chart.
User Inputs:
rsiLength allows the user to set the RSI calculation period, defaulting to 14.
oversoldLevel and overboughtLevel let users define the oversold and overbought thresholds, defaulting to 30 and 70, respectively.
RSI Calculation:
rsiValue = ta.rsi(close, rsiLength) computes the RSI based on the closing prices and the specified period.
Trade Entry and Exit Conditions:
enterLong is set to true when the RSI crosses below the oversold level, indicating a potential buying opportunity.
exitLong becomes true when the RSI crosses above the overbought level, signaling an exit point.
Trade Execution:
When enterLong is true, strategy.entry("Long", strategy.long) opens a long position.
When exitLong is true, strategy.close("Long") closes the long position.
RSI Visualization:
plot(rsiValue, title="RSI", color=color.blue) displays the RSI line on a separate chart.
hline functions draw horizontal lines at the oversold and overbought levels for reference.
Important Considerations:
Backtesting: Before deploying this strategy in live trading, conduct thorough backtesting to evaluate its performance across different market conditions.
Risk Management: Incorporate appropriate risk management techniques, such as stop-loss and take-profit levels, to protect against adverse market movements.
Market Conditions: Be aware that the effectiveness of RSI-based strategies can vary with market volatility and trends. Adjust the oversold and overbought levels as needed to align with specific market dynamics.
By customizing the input parameters and thoroughly testing the strategy, you can tailor it to fit your trading preferences and the specific characteristics of the markets you are trading.
