2024 - Median High-Low % Change - Monthly, Weekly, Daily

5 Kas 2024

Description:
This indicator provides a statistical overview of Bitcoin's volatility by displaying the median high-to-low percentage changes for monthly, weekly, and daily timeframes. It allows traders to visualize typical price fluctuations within each period, supporting range and volatility-based trading strategies.

How It Works:

Calculation of High-Low % Change: For each selected timeframe (monthly, weekly, and daily), the script calculates the percentage change from the high to the low price within the period.
Median Calculation: The median of these high-to-low changes is determined for each timeframe, offering a robust central measure that minimizes the impact of extreme price swings.
Table Display: At the end of the chart, the script displays a table in the top-right corner with the median values for each selected timeframe. This table is updated dynamically to show the latest data.
Usage Notes:

This script includes input options to toggle the visibility of each timeframe (monthly, weekly, and daily) in the table.
Designed to be used with Bitcoin on daily and higher timeframes for accurate statistical insights.
Ideal for traders looking to understand Bitcoin's typical volatility and adjust their strategies accordingly.
This indicator does not provide specific buy or sell signals but serves as an analytical tool for understanding volatility patterns.

6 Kas 2024

Sürüm Notları

2024 - Median High-Low % Change - Monthly, Weekly, Daily

Description:
This statistical change table indicator provides traders with a detailed overview of typical price fluctuations for different timeframes, helping to contextualize current market behavior against historical averages. By calculating and displaying statistical measures such as the **Median** and **Maximum High-Low Percentage Changes** for **Quarterly, Monthly, Weekly,** and **Daily** periods, this tool equips traders with insights into volatility patterns.

Key Features:
- **Current Change %**: Displays the current high-to-low percentage change for each timeframe.
- **Median High-Low Change %**: Shows the median historical high-to-low percentage change, giving traders a sense of typical volatility within each timeframe.
- **Max High-Low Change %**: Indicates the maximum observed high-to-low percentage change, highlighting extreme cases of market volatility.

This indicator is valuable for identifying periods where current volatility significantly deviates from historical norms, potentially indicating overextended or unusually quiet market conditions. By observing these metrics across multiple timeframes, traders can better gauge trend strength, volatility, and potential reversal points.

How to Use:
- **Compare Current Change % with Historical Medians**: A current percentage that greatly exceeds the median may indicate an unusual volatility level.
- **Spot Potential Trend Reversals**: Extreme high-to-low changes (approaching or exceeding historical maximums) can hint at trend exhaustion.
- **Enhance Market Context**: Use the indicator to benchmark current market moves against typical behavior, supporting more informed trading decisions.

Settings:
- **Show Statistical Change Table**: Toggle the display of the statistical table for convenient access to all metrics.

This indicator is intended for informational and educational purposes only and should not be construed as financial advice. Always practice prudent risk management and conduct your own analysis.

evvelsi gün

Sürüm Notları

### **Statistical Change Table – TradingView Indicator**

#### **Overview**
The **Statistical Change Table** indicator provides a structured summary of price volatility across multiple timeframes. It calculates and displays the **current high-low percentage change**, **median historical high-low change**, and **maximum historical high-low change** for quarterly, monthly, weekly, and daily periods. This allows traders to quickly assess how the current market volatility compares to historical norms.

---

#### **Key Features**
✅ **Multi-Timeframe Analysis:**
- The indicator tracks price fluctuations for **quarterly (3M), monthly (1M), weekly (1W), and daily (1D)** periods.
- It calculates the **high-to-low percentage change** for each timeframe.

✅ **Statistical Insights:**
- **Current Change (%):** The real-time high-to-low price movement for the selected period.
- **Median High-Low Change (%):** The historical median of past high-low changes, providing a baseline for typical volatility.
- **Max High-Low Change (%):** The largest recorded price movement within the period, helping identify extreme volatility.

✅ **Clear Data Visualization:**
- The results are displayed in a **table format** at the **top-right of the chart**.
- Easy comparison between current market conditions and historical trends.

---

#### **How to Use**
🔹 **Mean Reversion Strategy:**
- If the **current change exceeds the median but remains below the max**, it may suggest a temporary deviation likely to revert.
- If the **current change is near the historical max**, caution is advised as extreme volatility might indicate trend continuation rather than reversal.

🔹 **Breakout & Trend Confirmation:**
- If the current high-low change is significantly **greater than the median**, it may indicate increasing volatility and possible trend continuation.
- If the current change is **below the median**, the market might be in a low-volatility consolidation phase.

🔹 **Risk Management:**
- Understanding historical volatility helps in setting **stop-loss and take-profit levels** relative to expected price fluctuations.
- Traders can adjust their **position sizing** based on past price swings.

---

#### **Ideal for**
✔ Swing traders looking for **historical volatility reference points**
✔ Trend traders assessing **volatility-based breakout potential**
✔ Mean reversion traders identifying **overextended price moves**
✔ Risk managers optimizing **stop-loss and take-profit levels**

---

### **Final Thoughts**
The **Statistical Change Table** is a valuable tool for traders seeking a **quantitative perspective on volatility** across different timeframes. By comparing real-time movements to historical trends, traders can make **better-informed decisions** regarding trade entries, exits, and risk management.

🚀 **Enhance your trading with a statistical edge!**

evvelsi gün

Sürüm Notları

### **Statistical Change Table – TradingView Indicator**

#### **Overview**
The **Statistical Change Table** indicator provides a structured summary of price volatility across multiple timeframes. It calculates and displays the **current high-low percentage change**, **median historical high-low change**, and **maximum historical high-low change** for quarterly, monthly, weekly, and daily periods. This allows traders to quickly assess how the current market volatility compares to historical norms.

---

#### **Key Features**
✅ **Multi-Timeframe Analysis:**
- The indicator tracks price fluctuations for **quarterly (3M), monthly (1M), weekly (1W), and daily (1D)** periods.
- It calculates the **high-to-low percentage change** for each timeframe.

✅ **Statistical Insights:**
- **Current Change (%):** The real-time high-to-low price movement for the selected period.
- **Median High-Low Change (%):** The historical median of past high-low changes, providing a baseline for typical volatility.
- **Max High-Low Change (%):** The largest recorded price movement within the period, helping identify extreme volatility.

✅ **Clear Data Visualization:**
- The results are displayed in a **table format** at the **top-right of the chart**.
- Easy comparison between current market conditions and historical trends.

---

#### **How to Use**
🔹 **Mean Reversion Strategy:**
- If the **current change exceeds the median but remains below the max**, it may suggest a temporary deviation likely to revert.
- If the **current change is near the historical max**, caution is advised as extreme volatility might indicate trend continuation rather than reversal.

🔹 **Breakout & Trend Confirmation:**
- If the current high-low change is significantly **greater than the median**, it may indicate increasing volatility and possible trend continuation.
- If the current change is **below the median**, the market might be in a low-volatility consolidation phase.

🔹 **Risk Management:**
- Understanding historical volatility helps in setting **stop-loss and take-profit levels** relative to expected price fluctuations.
- Traders can adjust their **position sizing** based on past price swings.

---

#### **Ideal for**
✔ Swing traders looking for **historical volatility reference points**
✔ Trend traders assessing **volatility-based breakout potential**
✔ Mean reversion traders identifying **overextended price moves**
✔ Risk managers optimizing **stop-loss and take-profit levels**

---

### **Final Thoughts**
The **Statistical Change Table** is a valuable tool for traders seeking a **quantitative perspective on volatility** across different timeframes. By comparing real-time movements to historical trends, traders can make **better-informed decisions** regarding trade entries, exits, and risk management.

🚀 **Enhance your trading with a statistical edge!**

evvelsi gün

Sürüm Notları

### **Statistical Change Table – TradingView Indicator**

#### **Overview**
The **Statistical Change Table** indicator provides a structured summary of price volatility across multiple timeframes. It calculates and displays the **current high-low percentage change**, **median historical high-low change**, and **maximum historical high-low change** for quarterly, monthly, weekly, and daily periods. This allows traders to quickly assess how the current market volatility compares to historical norms.

---

#### **Key Features**
✅ **Multi-Timeframe Analysis:**
- The indicator tracks price fluctuations for **quarterly (3M), monthly (1M), weekly (1W), and daily (1D)** periods.
- It calculates the **high-to-low percentage change** for each timeframe.

✅ **Statistical Insights:**
- **Current Change (%):** The real-time high-to-low price movement for the selected period.
- **Median High-Low Change (%):** The historical median of past high-low changes, providing a baseline for typical volatility.
- **Max High-Low Change (%):** The largest recorded price movement within the period, helping identify extreme volatility.

✅ **Clear Data Visualization:**
- The results are displayed in a **table format** at the **top-right of the chart**.
- Easy comparison between current market conditions and historical trends.

---

#### **How to Use**
🔹 **Mean Reversion Strategy:**
- If the **current change exceeds the median but remains below the max**, it may suggest a temporary deviation likely to revert.
- If the **current change is near the historical max**, caution is advised as extreme volatility might indicate trend continuation rather than reversal.

🔹 **Breakout & Trend Confirmation:**
- If the current high-low change is significantly **greater than the median**, it may indicate increasing volatility and possible trend continuation.
- If the current change is **below the median**, the market might be in a low-volatility consolidation phase.

🔹 **Risk Management:**
- Understanding historical volatility helps in setting **stop-loss and take-profit levels** relative to expected price fluctuations.
- Traders can adjust their **position sizing** based on past price swings.

---

#### **Ideal for**
✔ Swing traders looking for **historical volatility reference points**
✔ Trend traders assessing **volatility-based breakout potential**
✔ Mean reversion traders identifying **overextended price moves**
✔ Risk managers optimizing **stop-loss and take-profit levels**

---

### **Final Thoughts**
The **Statistical Change Table** is a valuable tool for traders seeking a **quantitative perspective on volatility** across different timeframes. By comparing real-time movements to historical trends, traders can make **better-informed decisions** regarding trade entries, exits, and risk management.

🚀 **Enhance your trading with a statistical edge!**