Signal Regime Lab · Educational simulator
See the strategy behind the signal.
Build a hypothetical sequence of market regimes and see how a rules-based index framework adjusts target exposure between 20% and 100%. The regimes here are chosen by you, not produced by any model.
01 — Regime timeline
Select a period, then set its regime.
02 — Target allocation · Signal Bitcoin Active
BTC
100%
Cash
0%
03 — Target exposure through the sequence
| Period | Regime | Asset exposure | Cash |
|---|---|---|---|
| P1 | Bullish | 100% | 0% |
| P2 | Bullish | 100% | 0% |
| P3 | Bullish | 100% | 0% |
| P4 | Neutral | 60% | 40% |
| P5 | Neutral | 60% | 40% |
| P6 | Defensive | 20% | 80% |
| P7 | Defensive | 20% | 80% |
| P8 | Defensive | 20% | 80% |
| P9 | Neutral | 60% | 40% |
| P10 | Bullish | 100% | 0% |
| P11 | Bullish | 100% | 0% |
| P12 | Bullish | 100% | 0% |
Shows target exposure only. No prices, returns or risk statistics are simulated.
04 — Static vs. rules-based exposure (this sequence)
Static 100% Bitcoin
Exposure stays fixed regardless of regime.
- Average target exposure
- 100%
- Lowest target exposure
- 100%
- Exposure changes
- 0
- Total exposure shifted
- 0 pp
Rules-based variable exposure
Exposure follows the hypothetical regime, within 20%–100%.
- Average target exposure
- 70%
- Lowest target exposure
- 20%
- Exposure changes
- 4
- Total exposure shifted
- 160 pp
These figures describe exposure in the sequence you built. They are not investment performance, backtested results or a forecast, and they are not produced by Eric Jackson’s proprietary methodology. More exposure changes can mean higher turnover and trading costs in practice.