Allow User to Model Random Volatility in Price

Follows #39
_Low Priority - Advanced Functionality - Idea - Statistical Modeling_
This module may be best implemented as different tool for future advanced functionality.

### Issue
Allow User to Model Random Volatility in Price instead of choosing a simple, percentage based increase or decrease in price.

#### Use Case:
1. I buy 10 KLIMA, I want to model price fluctuations within a few standard deviations each day, and 'run' that 10,000 times or something to see best case, worst case, and average case the time it would take to wait out the downside risk entirely. Or even just most of the downside risk.
2. I want to take profits from my stack regularly, but short term price fluctuations can greatly affect my long term results. I want to see what taking out X dollars per month does to my long term result statistically (many iterations) with random price deviations. Deviations can be rough - [calculating expected price movements](https://medium.com/adara-io/crypto-statistics-part-2-standard-deviation-and-expected-move-a55636a72c46)
* Maybe this is a different module for intermediate users.
* Price decreases should clamp at RFV, and probably be blunted by backing market value
* It would be useful to be able to model RFV growth rate for this too.

#### Reasoning
Price fluctuations can greatly affect DCA, and Profit Taking results, so I feel like it's worth having as a way to model statistical outcomes. Finding data similar to the [4% rule](https://www.forbes.com/advisor/retirement/four-percent-rule-retirement/) would be valuable to users. Adding statistical tools similar to this could help intermediate users both understand the protocol and make individualized investment plans with more confidence.