metaforecast/README.md

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## What this is
This is a set of libraries and a command line interface that fetches probabilities/forecasts from prediction markets and forecasting platforms. These forecasts are then hosted on airtable, and used to power a small search engine for probabilities.
Eventually, this could become more elaborate; for example, forecasts could be ranked according to their quality. For now, a demo can be found [here](https://www.loki.red/metaforecasts/) (try searching "Trump"), and the database can be perused [here](https://www.loki.red/metaforecasts/data/).
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## How to run
### 1. Download this repository
``git clone https://github.com/QURIresearch/metaforecasts``
### 2. Enter your own cookies
Private session cookies are necessary to query CSET-foretell and Good Judgment Open. You can get said cookies by creating an account in said platforms and then making and inspecting a request (e.g., by making a prediction). After doing this, you should create a `src/privatekeys.json`, in the same format as `src/privatekeys_example.json`
### 3. Actually run
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From the top level directory, enter: `npm run start`
## Various notes
- Right now, I'm fetching only a couple of common properties, such as the title, url, platform, whether a question is binary (yes/no), its percentage, and the number of forecasts. However, the code contains more fields commented out, such as trade volume, liquidity, etc.
- A note as to quality: Good Judgment Open ~ Metaculus > CSET > PredictIt ~> Polymarket >> Elicit > Omen. Further, prediction markets rarely go above 95% or below 5%.
- For elicit and metaculus, this library currently filters questions with <10 predictions.