Predictor
Decentralized Prediction Markets on Tezos
Created on 13th August 2021
•
Predictor
Decentralized Prediction Markets on Tezos
The problem Predictor solves
Forecasting Tool - Current closed group surveys and interviews are clogged with bias and hence affect correct output. Decentralized Prediction Markets act as a perfect forecasting tool in predicting future events be it politics, sports or climate change as people participating make more rational decisions as their decisions are private and anonymous
Monetize Knowledge - There are only limited ways to monetize one knowledge apart from doing our jobs. Prediction markets with predictions in various themes provide an opportunity to monetize one's knowledge.
Creating Awareness - As per the game theory, Predictions based on climate change will make people research more on climate than a news article on climate as the incentives are provided by prediction markets for understanding the complex concept
Value discovery: Prediction markets helps in discovering values of any intangible asset be it NFT, art etc via the wisdom of crowd principle.
Challenges we ran into
- Moving from python to smartpy created some initial hiccups especailly sp.int was considered as expression and not as integers for certain operations.
- Had an issue with FA2 metadata creation, when creating FA2 tokens dynamically . Had to take advice from RQ from smartpy telgram to re-write the logic.
- JS was treating smartpy integers as large integers and hence needed to ocnvert them to string before displaying.