the bloomberg for AI agents
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Deterministic financial signal computation with full provenance. Live macro/credit/vol conditions recomputed every snapshot — no LLMs in the analytical path, no neural nets in the math. The same signals that drive the API drive the picture below.
Current conditions
| Signal | Category | Value | As of |
|---|---|---|---|
| loading… | |||
Tension pairs— markets in 2D signal space
Decomposition— which signals, what weights, why
| Signal | Weight | Normalized | Contribution |
|---|---|---|---|
| yield_curve_slope | 1.0 | 0.61 | +0.18 |
| hy_oas_spread | 1.0 | -1.32 | -0.41 |
| vix_level | 1.0 | -0.84 | -0.26 |
| realized_vol_20d | 1.0 | -1.27 | -0.39 |
Per-signal weights, normalizations, and contribution math are
behind a no-spam email gate.
behind a no-spam email gate.
API— the engine behind the picture
curl https://api.bankster-api.com/v1/signals \
-H "Authorization: Bearer $YOUR_KEY" \
-d '{"bundle": "macro"}'