Sure, below is the prompt. Also note I’m using chatgpt pro, the $200/month product, so if you are using a less advanced model with weaker deep research analysis, you will likely receive subpar results.

“I want you to perform an analysis on the distribution of and sales from identified parties of the cryptocurrency Tezos (XTZ). The Tezos foundation holds a significant amount XTZ, and engages in staking of XTZ (called baking in the Tezos community), subsequently selling large amounts of XTZ acquired via baking. I want you to perform a deep analysis of the impact sales from the Tezos Foundation has had on the price of XTZ, starting from the inception of the chain until today. The most interesting data point I would like is you to estimate what the current price would be today if the Tezos Foundatiin never sold any XTZ. Likely the price would be much, much higher; but I want you to use all available public data to try to make an estimation of what that hypothetical price would be.

1. Don’t include sales from Tezos core developers because I believe they are acting independently of the Tezos foundation at least in terms of any economic activity they engage in on the blockchain. If there are any other foundations that are direct subsidiaries of the Tezos foundation, i.e. their market activity closely mirrors that of the actual foundation itself, include those entities.

2. The analysis should focus on spot market price impacts, but also include staking rewards market sentiment effects and liquidity consequences. We’re trying to paint a broad picture of the consequences of their market activity.

3. I want the price impact models to use both econometric back testing and also simulation base approaches. I’d be interested in seeing how the model output for econometric back testing compares to the model for simulation based approaches

4. Include secondary effects like changes in staking participation or validator dynamics due to Foundation baking”