Super Oscillator with Alerts by BigBlueCheese

11 thg 12

Super Oscillator with Alerts (by BigBlueCheese)

I got sick of eyeballing multiple oscillators generating output on different scales and interpreting them on the fly, so I picked 4 of my favs, 2 fisher transforms (fast & slow) The Squeeze & my own Market Rhythm Oscillator & made the Super Oscillator with Alerts which combines multiple indicators and oscillators to analyze market conditions and generate actionable trading signals.

The output is buy/sell/neutral signals and a color coded table summarizing indicator states (strong buy to strong sell etc). The color legend can be disabled once you get used to the color codes. The user can choose to watch the table output and its changing output, OR unclutter their screen by toggling the table off & just watching for the signals SO+ (buy), SO-(sell), SO?(neutral)

The combined signals are run through a scoring and weighting scheme that utilizes each indicators Z-scores, Min-Max normalization, and raw values which are all used in different parts of the scoring process.

A velocity filter (for more immediate/sensitive response) is available for the user to toggle on/off. The raw indicator values are classified into categories reflecting their current strength and are assigned momentum points.
Z-scores measure how far each oscillator's current value deviates from its mean in terms of standard deviations. Basically, the Z-scores focus on relative behavior, while momentum captures directional trends. Together, they provide a more nuanced view of market conditions. Large Z-scores increase the likelihood of stronger signals. The idea is to are amplify influence in extreme conditions whereas low Z scores will have minimal impact on the cumulative score, making signals less prone to noise.

Inputs and Their Contributions
1. Momentum: Controlled by the raw oscillator values and thresholds.
2. Min-Max: Automatically calculated based on the historical range of oscillators.
3. Velocity: Input: useVelocity (true/false) toggle. Weights: User-defined weights for velocity contribution.
4. Z-Score: Input: useZScore (true/false) toggle. Weights: User-defined weights for Z-score contribution.

The system combines momentum, Min-Max normalization, (and if enabled) velocity, and Z-scores, to generate dynamic and actionable trading signals that appear as markers on the chart indicating buy, sell, and neutral signals.
Alerts can also be triggered based on these signals.
Users can customize the weighting and inclusion of velocity and Z-scores to align the scoring system with their trading strategy and preferences.
If there is enough interest for some other preferred oscillator, I will substitute it for out my Market Rhythm Oscillator & republish with the code. LMK

For the curious out there, the Market Rhythm Oscillator (MRO) is a custom oscillator that analyzes price dynamics using a combination of weighted volatility-based calculations. It helps measure price momentum and potential exhaustion levels by identifying high and low volatility regions.
• Purpose: The MRO is particularly effective at identifying market trends and potential reversals by analyzing price extremes and their behavior over a defined lookback period.
• Calculation Components might include:
o Waveform Volatility Factor (WVF): Measures the price's deviation from its highest or lowest values within a given period.
o Bands and Smoothing:
 Upper and lower bands based on standard deviations of WVF.
 Smoothing is applied to the WVF for better trend clarity.
o Exhaustion Levels: Uses the MRO's trend length to calculate when the price action may become overextended.

Happy hunting but as always, not a trade recommendation, past results not indicative of future results, DYOR!