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v0.8.6: update indicator docs, ndepend tooling, ALMA refactor, gitignore cleanup

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Miha Kralj
2026-03-13 13:46:52 -07:00
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lib/numerics/sigmoid/Sigmoid.md
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| **PineScript** | [sigmoid.pine](sigmoid.pine) |
- The Sigmoid (Logistic) transformer maps any real-valued input to the bounded range (0, 1) using the standard logistic function.
- Parameterized by `k` (default 1.0), `x0` (default 0.0).
- Output range: Varies (see docs).
- Requires `0` bars of warmup before first valid output (IsHot = true).
- **Trading note:** Sigmoid function; maps values to (0,1). Used for probability-like scaling of indicator outputs.
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
The Sigmoid (Logistic) transformer maps any real-valued input to the bounded range (0, 1) using the standard logistic function. Its characteristic S-shaped curve makes it indispensable for probability estimation, neural network activations, and any scenario requiring bounded outputs from unbounded inputs.
@@ -227,4 +225,4 @@ Sigmoid.Calculate(inputs, outputs, k: 1.0, x0: 0.0);
- Verhulst, P.-F. (1838). "Notice sur la loi que la population suit dans son accroissement." *Correspondance Mathématique et Physique*.
- Rumelhart, D., Hinton, G., & Williams, R. (1986). "Learning representations by back-propagating errors." *Nature*.
- Bishop, C. (2006). *Pattern Recognition and Machine Learning*. Springer.
- Bishop, C. (2006). *Pattern Recognition and Machine Learning*. Springer.