Could anyone help me with coding a zigzag indicator?

<p id="isPasted">1. Identifying Swing Highs and Lows:</p><p>The indicator determines swing highs (local price maximums) and swing lows (local price minimums) based on a user-defined percentage of price movement or a configurable "depth" parameter. For example, a 5% setting means that a swing high or low is identified when the price deviates from the previous swing high or low by at least 5%.&nbsp;</p><p>2. Connecting Swing Points:</p><p>Once swing points are identified, the Zig Zag indicator draws a straight line connecting them on the chart. These lines visually represent the direction and magnitude of price fluctuations.&nbsp;</p><p>3. Coding Implementation:</p><p>You'll need to process price data (typically historical or real-time) to find swing highs and lows. Data Processing:Loop through the price data, comparing each price to the previous swing high and low. Calculate the percentage change between consecutive prices. Swing Point Identification:If a price exceeds the defined percentage deviation from the previous swing high or low, it's identified as a new swing point. Line Drawing:Once swing points are identified, connect them with lines on the chart. You might need to use charting libraries or visual tools to display the lines. Optional Features:Add labels to the chart to indicate swing highs and lows. Implement different line styles or colors for different trend directions.&nbsp;</p><p>4. Example Code Snippet (Conceptual):&nbsp;</p><p id="isPasted">def zigzag_indicator(data, deviation_percentage):</p><p>&nbsp; &nbsp; swing_points = []</p><p>&nbsp; &nbsp; current_high = float('-inf')</p><p>&nbsp; &nbsp; current_low = float('inf')</p><p>&nbsp; &nbsp; previous_high = None</p><p>&nbsp; &nbsp; previous_low = None</p><p><br></p><p>&nbsp; &nbsp; for i, price in enumerate(data):</p><p>&nbsp; &nbsp; &nbsp; &nbsp; # Identify Swing Highs</p><p>&nbsp; &nbsp; &nbsp; &nbsp; if price &gt; current_high:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_high = price</p><p>&nbsp; &nbsp; &nbsp; &nbsp; else:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if previous_high is not None:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; percentage_change = ((price - previous_high) / previous_high) * 100</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if percentage_change &lt;= -deviation_percentage:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; swing_points.append((i, current_high, "high"))</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; previous_high = current_high</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_high = float('-inf')</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_low = float('inf')</p><p><br></p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if previous_low is not None:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; percentage_change = ((price - previous_low) / previous_low) * 100</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if percentage_change &gt;= deviation_percentage:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; swing_points.append((i, current_low, "low"))</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; previous_low = current_low</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_low = float('inf')</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_high = float('-inf')</p><p>&nbsp; &nbsp; &nbsp; &nbsp; # Identify Swing Lows</p><p>&nbsp; &nbsp; &nbsp; &nbsp; if price &lt; current_low:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_low = price</p><p>&nbsp; &nbsp; &nbsp; &nbsp; else:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if previous_high is not None:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; percentage_change = ((price - previous_high) / previous_high) * 100</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if percentage_change &lt;= -deviation_percentage:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; swing_points.append((i, current_high, "high"))</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; previous_high = current_high</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_high = float('-inf')</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_low = float('inf')</p><p><br></p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if previous_low is not None:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; percentage_change = ((price - previous_low) / previous_low) * 100</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; if percentage_change &gt;= deviation_percentage:</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; swing_points.append((i, current_low, "low"))</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; previous_low = current_low</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_low = float('inf')</p><p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; current_high = float('-inf')</p><p>&nbsp; &nbsp; return swing_points</p><p><br></p><p id="isPasted">5. Libraries and Frameworks:</p><p>Pandas: For data manipulation and analysis.Matplotlib/Seaborn: For charting and visualization.&nbsp;</p>