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 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 (try searching "Trump", "China" or "Semiconductors"), and the database can be perused here. I also have a json endpoint here and a csv endpoint here.

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, Good Judgment Open and Hypermind. You can get these cookies by creating an account in said platforms and then making and inspecting a request (e.g., by making a prediction, or browsing questions). After doing this, you should create a src/privatekeys.json, in the same format as src/privatekeys_example.json

3. Actually run

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: Tentatively, Good Judgment >> Good Judgment Open ~ Metaculus > CSET > PredictIt ~> Polymarket >> Elicit > Omen. Further, prediction markets rarely go above 95% or below 5%. I'm not really sure where Hypermind falls in that spectrum.
• For elicit and metaculus, this library currently filters questions with <10 predictions.
• Omen does have very few active predictions at the moment; this is not a mistake.