This runs on Henry Hub and one filed US pipeline tariff, because those are public. A different hub, your own forward marks, your facility’s own rate sheet, or a contract structure this does not cover — that is the work, and it starts with a conversation. [email protected]
Two kinds of work, both measurement rather than opinion: valuation of physical energy assets charged at their filed tariffs instead of at assumed costs, and risk bands scored out of sample instead of asserted. The rest of this site is the worked example.
Storage, regasification, tolling, transport: a stochastic control problem over an inventory with rate and volume limits. The machinery is textbook and every implementation of it agrees. What decides the answer is the cost deck, and that is where published storage economics is thinnest — charged at NGPL’s filed tariff, the seasonal schedule is worth −$0.1002 per MMBtu and the same reservoir with the right to re-optimise is worth +$0.3067. No assumed deck produces that, because the sign of the first number is set by a rent.
On the risk side: a band nobody has scored is a claim, not a number. The one on this site is scored on 4,922 out-of-sample forecast origins, and the honest result is that no model passes every test.
Partial is fine. Half of the useful work is establishing what the numbers you already have actually mean.
Worth reading first, if only to see whether the method suits you: what fourteen years of gas curves settled, including the four conclusions it overturned, and the calculator, which solves the same problem against a tariff you can change.