A purely mathematical Multi-Layer Perceptron (MLP) built from scratch without APIs. Capable of live backpropagation and gradient descent in your browser.
The network will learn to predict the Market Probability (0 to 1) based on two normalized inputs: [Inflation Rate, Interest Rate].
| Input 1 (Inf) | Input 2 (Rate) | Target Outcome |
|---|---|---|
| 0.1 (Low) | 0.1 (Low) | 0.9 (Extreme Bullish) |
| 0.9 (High) | 0.1 (Low) | 0.5 (Neutral) |
| 0.1 (Low) | 0.9 (High) | 0.4 (Bearish) |
| 0.9 (High) | 0.9 (High) | 0.1 (Crash) |