The StochasticDivergence for Pair Trading

The StochasticDivergence is a custom indicator for the MetaTrader 4 (MT4) platform, designed to analyze the divergence between the Stochastic Oscillator (%K line) values of two currency pairs. It compares the Stochastic %K of the chart’s symbol (first symbol) with a user-defined second symbol, displaying both %K values and their absolute difference (divergence) in a separate subwindow. The indicator provides visual and alert-based feedback to highlight significant divergence levels, with customizable settings for user flexibility.

Key Features

  1. Stochastic %K Calculation:
    • Computes the Stochastic Oscillator’s %K line for the chart’s symbol (e.g., EURUSD) and a user-defined second symbol (default: USDCHF).
    • Configurable parameters include K Period (default: 100), D Period (default: 1), and Slowing (default: 1), using Simple Moving Average (SMA) for smoothing.
    • Supports inversion of %K values for either symbol (default: disabled), allowing users to reverse the calculation (100 - %K) for specific analysis needs.
  2. Divergence Measurement:
    • Calculates the absolute difference between the %K values of the two symbols, plotted as a dotted line in the subwindow.
    • Displays the current divergence percentage in a label within the subwindow, updated in real-time.
  3. Visualization:
    • Plots %K for the first symbol (default color: aqua) and second symbol (default color: red) as solid lines in a subwindow, scaled from 0 to 100.
    • Shows divergence as a dotted line (default color: yellow) in the same subwindow.
    • Includes Stochastic levels at 15, 50, and 85 for reference, with a customizable label for divergence display (position, font size, and color adjustable).
  4. Alerts and Notifications:
    • Triggers alerts when divergence exceeds a user-defined threshold (default: 80%), with options for pop-up alerts (default: enabled) and push notifications (default: disabled).
    • Prevents repeated alerts on the same bar using timestamp tracking, ensuring one alert per bar.
    • Alert messages include the symbols, divergence percentage, threshold, and timestamp.
  5. Customization:
    • Offers input parameters to adjust the second symbol, Stochastic parameters (K Period, D Period, Slowing), inversion settings, colors (for %K lines, divergence line, and label), label position (X, Y coordinates), font size, and alert settings.
    • Allows users to enable/disable alerts and notifications based on their preferences.

Usage

  • Initialization: Validates the second symbol in Market Watch, accounting for any suffix (e.g., ".m" or ".pro"). Sets up three buffers for %K and divergence, creates a divergence label, and configures the subwindow with a custom name.
  • Operation: Calculates %K for both symbols and their divergence for each bar, updating the subwindow plots and divergence label. Checks for divergence exceeding the threshold and triggers alerts if enabled.
  • Visualization: Displays %K lines, divergence line, and a label showing the current divergence percentage in the subwindow, with customizable colors and positions.
  • Deinitialization: Removes all indicator objects (labels) from the subwindow upon removal.

Notes

  • Requires the second symbol to be available in Market Watch, with automatic suffix detection for compatibility.
  • Operates on the current chart’s timeframe, processing bars based on the Stochastic parameters (K Period, D Period, Slowing).
  • The indicator focuses solely on Stochastic %K divergence, without additional technical indicators or risk management features.

 


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M1 Arrow is an indicator which is based on natural trading principles of the market which include volatility and volume analysis. The indicator can be used with any time frame and forex pair. One easy to use parameter in the indicator will allow you to adapt the signals to any forex pair and time frame you want to trade. Besides the main algorithm which is based on buy and sell signals, the indicator also has multiple built-in extra strategies which you can choose in the inputs. These strategies
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