2024-03-17 09:10:05 +00:00
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# moonmath
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2024-03-22 00:45:27 +00:00
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## Bullshit Crypto Price Projections, Now in Your CLI!
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2024-03-17 09:10:05 +00:00
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![screenshot](./screenshot.png)
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This is a re-implementation of [Moon Math][moon] that runs locally as a CLI
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program. It's written in Go using the [Bubble Tea][tea] library, and uses
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[Coindesk][coin] to source price data.
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[moon]: https://www.moonmath.win
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[tea]: https://github.com/charmbracelet/bubbletea
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[coin]: https://www.coindesk.com
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2024-03-23 00:43:15 +00:00
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### Installation
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Go to the [Releases page](https://code.humancabbage.net/sam/moonmath/releases)
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and download the archive for your operating system and architecture. (For the
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uninitiated, "Darwin" means macOS.)
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2024-03-20 04:47:47 +00:00
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### Configuration
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2024-03-23 00:43:15 +00:00
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By default, the program will use Bitcoin along with various goals and bases of
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comparison. With the `--asset` flag, another asset supported by Coindesk can be
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chosen. These can even be chained, e.g. `--asset BTC --asset ETH`, to show
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projections for multiple assets simultaneously.
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The [builtin default config](./config/default.yaml) only has special
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goals a handful of the most popular assets. With the `--config-file` flag,
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however, one can specify a YAML file that overrides these defaults and adds
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goals for other assets.
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Check out [coindesk/assets.go](./coindesk/assets.go) for a full list of
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supported assets. Keep in mind these have not been exhaustively tested, and
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it's likely that many will fail with the default configuration settings.
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2024-03-20 04:47:47 +00:00
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2024-03-17 09:10:05 +00:00
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### "Theory"
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Given a pair of quotes taken at the start and end of some period,
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$$ (t_s, p_s), (t_e, p_e) $$
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we can derive the total gain for that period, and its length in days.
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$$ g = p_e / p_s $$
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$$ d = t_e - t_s $$
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Combining these, we can calculate the *compounding daily periodic rate* (CDPR).
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$$ r = g^{1/d} $$
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We can use this rate to project the price $ p_f $ at some $ x $ days in the
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future.
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$$ p_f = p_e r^x $$
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If we instead make $ p_f $ a target price, we can solve this equation for $ x $,
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telling us how many days it will take to reach that target.
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$$ x = {{log(p_f) - log(p_e)} \over log(r)} $$
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### Future Improvements
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2024-03-20 04:47:47 +00:00
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* Add more default configurations for various assets.
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2024-03-17 09:10:05 +00:00
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* Allow projection by date, e.g. use the CDPR to calculate what the price
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would be on a particular date.
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* Log errors to a file.
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