Bitcoin back down

8k was too high.

And, notice that bitcoin recovered nicely after the whale jumped ship. Bitcoin is a simple FX exchange with auto hedging of the central banks, thanks to insiders.  Here to stay.

Start with the equation of motion. Early bets on bitcoin when insider gets wind of central bank dis-equilibrium. The news is public three weeks later.  This equation depends on an implied force field, or it depends on a measurable, sub-dividable  hologram.

The channel squeeze is happening in the miner queues, neatly done, and provides an implied discount rate, miner fees. So we know out model is a super position with uncertainty, Lindbladian applies with the proper uncertainty constant. From there one says, OK, to simplify, take the sigma of market size, and call that a uniformly distributed, bound error.  Miner fees provide the wealth needed for commutative property, we get hologram.

Assume constant number of coins, and one completes the Lindbladian, on the back of an envelope, and gets a price range to match the three or four central banks that drive bitcoin.  This is really a crude chart analysis. I really just guesstimated as a four bit computer, so to speak. I guessed, mostly, 3k to 6k, in that range, and probability of  exceeding that range fairly rare.

Commutativity and the New Fed

We see the commutative property effect when we unbundle government programs. The central idea is to pay the price of re-ordering to get around a hard bound, right to coin.  All agents can use linear space and find their fair traded way around the issue. We want the individual government programs to face currency risk equivalent to size. The squeezed channel more accurate, agents everywhere in the hologram have a path around the wall, an axis of symmetry to measure 'right to coin' costs.

Commutativity is wealth consuming, it cost energy to do it.  An account manager within the large government program has authority to  alter payment order, change priorities on the margin. It incurs risk, but gets a much better match to deliverables. The cost is the cost of extra channel space to be maintained.  Maximizing entropy says we drive that cost down to the individual transaction with more productive tech. That is learning and a half point cost is an easy barrier with the new tech.