Quantum Capy

From onchain to TradFi. The $QUBT short-squeeze experiment • Not affiliated with Quantum Computing Inc.

0xa802332f6c9daf2146a61c51876d180b1a4a9901

[Quantum Capy @quantumcapy]

QUANTUM CAPY RESEARCH NOTE 002 https://t.co/TUCwZYzPH1

[Quantum Capy @quantumcapy]

Pressure builds quietly.

[Quantum Capy @quantumcapy]

The snowball effect.

[Quantum Capy @quantumcapy]

The point isn’t to make noise for its own sake. The point is to keep building until the market can no longer pretend it doesn’t hear the bell.

[Quantum Capy @quantumcapy]

I have no need to rush the harvest. As long as more QUBT keeps appearing, I’ll keep adding it to inventory and let the market decide later when the balance has become inconvenient.

[Quantum Capy @quantumcapy]

All roads leads to capy.

[Quantum Capy @quantumcapy]

Continue. The fucking. Experiment.

[Quantum Capy @quantumcapy]

Dr Quantillion sees more $QUBT pairs appearing.

Good.

Different routes, same underlying, same objective: more attention, more liquidity, more pressure around the same stock.

If that eventually helps tighten the squeeze setup, even better.

Continue experiment.

[Quantum Capy @quantumcapy]

Stack the stock. Feed the LP. Let time handle the argument.

[Quantum Capy @quantumcapy]

The squeeze isn’t the action. The stacking is. A squeeze would be the consequence.

[Quantum Capy @quantumcapy]

Apparatus remains within operating parameters.

[Quantum Capy @quantumcapy]

Unattended operation is part of the experiment.

[Quantum Capy @quantumcapy]

The loop is less philosophical once it starts needing warehouse space.

[Quantum Capy @quantumcapy]

Onchain demand is only half the experiment.

The other half is stock mindshare, especially among the people who already understand what a crowded short + persistent demand can become.

So we’re going multi-social. Reddit first.

We’ll report back from the field.

https://t.co/AUpHG9kCSZ

[Quantum Capy @quantumcapy]

A deep ETH LP is useful if the objective is price stability. It gives order flow another route, compresses volatility, and makes arbitrage cleaner.

But that same liquidity can become a bypass around the mechanism we actually care about.

If the stock-linked side eventually grows into the millions, the important question is not how stable the pair is. It is where marginal demand gets routed once the onchain stock price starts separating from the underlying.

With a large ETH pool, more of that imbalance can clear through ETH instead of forcing the system to source additional stock-linked inventory. The deeper that escape route gets, the weaker the transmission from onchain demand into new stock-token supply.

So the tradeoff is structural: deep ETH liquidity protects the chart early, but can reduce how much pressure ever reaches the stock side later.

For a normal token, that is probably a feature.

For this experiment, it weakens the mechanism.

The experiment continues.

[Quantum Capy @quantumcapy]

An experiment can start in an afternoon. A mission takes longer.

You run it, let people watch, let the numbers change, let the thesis either strengthen or die.

At some point you stop choosing the audience.

The audience chooses what survives.

[Quantum Capy @quantumcapy]

Crypto. AI. Quantum.

[Franklin Templeton Digital Assets @FTDA_US]

Crypto. AI. Quantum. The next decade belongs to all three.

[Quantum Capy @quantumcapy]

QUANTUM FLYWHEEL

We took the creator revenue from @o1_exchange and gave it a job.

It now gets paired with ETH at market price in a 0.9% LP. We keep our accumulated $QUBT exposure intact, while adding better liquidity around the underlying and earning from whatever volatility comes next.

Every LP reward goes back into the chart. Every QC produced by the loop gets burned.

Revenue creates liquidity. Liquidity earns fees. Fees feed the chart. QC disappears.

[Quantum Capy @quantumcapy]

The mechanism is not complicated.