H|ψ⟩ Quantum Finance
Real-Time Stock & Options Intelligence for AI Agents

Probabilistic scenario research

LUNR Monte Carlo Forecast

Intuitive Machines: a distribution of modeled outcomes, probability ranges and tail-risk estimates窶馬ot a single deterministic price target.

Horizon: Pending ツキ Updated:

LUNR simulated outcome snapshot

All figures depend on model assumptions and input data. Only verified API results are displayed.

Support
$13.36
Threshold
$23.92
Resistance
$23.92
Mean terminal price
$13.51
Median terminal price
$13.18
Lower bound
$9.22
Upper bound
$18.9
Probability below threshold
99.56%
Probability above threshold
0.44%
Simulation volatility
6.91%
Tomorrow standard deviation
0.93
Simulated paths
5,000

Simulation interpretation

Probability of stock price exceeding $23.92 in the next 10 days ≈ 0.44%

Modeled range

The API range is $9.22 to $18.9, with support at $13.36 and resistance at $23.92. These are modeled levels, not guarantees.

Threshold probability

The model estimates 0.44% above and 99.56% below the stated threshold. Confidence interval input: 0.9.

Model limitations

Results depend on return distribution, volatility, horizon and sampling choices. Structural breaks, gaps and liquidity shocks may not be represented.

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