The Most Liquid Prediction Market for
Global Information Exchange
The Most Liquid Prediction Market for Global Information Exchange
The Most Liquid Prediction Market for Global Information Exchange
The Most Liquid Prediction Market for Global Information Exchange
Explore the world through probability.
Explore the world through probability.
Shape belief through markets.
Shape belief through markets.
Reveal causality through graphs.
Reveal causality through graphs.
Illuminate the future through intelligence.
Illuminate the future through intelligence.
From Market Signals to Causal Insights
From Market Signals to Causal Insights
From Market Signals to Causal Insights
In prediction markets, price changes reflect how participants collectively update their beliefs about the likelihood of future events.
In prediction markets, price changes reflect how participants collectively update their beliefs about the likelihood of future events.
By treating these prices as probabilistic signals, we can use Bayesian inference to uncover how events may depend on one another.
By treating these prices as probabilistic signals, we can use Bayesian inference to uncover how events may depend on one another.
For example, when the price of one event changes in response to information about another, it can indicate a causal link or conditional correlation.
For example, when the price of one event changes in response to information about another, it can indicate a causal link or conditional correlation.
Over time, analyzing these updates across many markets allows us to build a Bayesian causal graph — a map of how events influence each other.
Over time, analyzing these updates across many markets allows us to build a Bayesian causal graph — a map of how events influence each other.
This not only helps us understand complex systems better, but also gives AI models a structured, human-aligned prior for reasoning about the world.
This not only helps us understand complex systems better, but also gives AI models a structured, human-aligned prior for reasoning about the world.
APMM + RS =
Bayes Market
The Bayes Market fuses an innovative bonding-curve-based Automated Prediction Market Maker (APMM) with a powerful Recommendation System (RS) to ensure that every opinion is tradable, and every event of interest finds you dynamically. By updating beliefs the Bayesian way, we collectively gain a deeper, more structured understanding of the world.
The Bayes Market fuses an innovative bonding-curve-based Automated Prediction Market Maker (APMM) with a powerful Recommendation System (RS) to ensure that every opinion is tradable, and every event of interest finds you dynamically. By updating beliefs the Bayesian way, we collectively gain a deeper, more structured understanding of the world.
— The global exchange for beliefs and signals
— As uncertainty fades, truth emerges
— Join and contribute your insight today
— The global exchange for beliefs and signals
— As uncertainty fades, truth emerges
— Join and contribute your insight today
PM + AI =
PM + AI =
PM + AI =
PM + AI =
Prediction
Prediction
Prediction
Prediction
Intelligence
Intelligence
Intelligence
Intelligence
In the realm of Prediction Markets (PM), human insight and AI capabilities converge. Here, real-world data doesn't just inform — it collaborates with AI to connect the dots between events and reveal hidden relationships in our world. By continuously analyzing how event probabilities evolve, we can construct a Bayesian causal graph — a dynamic map that not only reflects correlations, but also uncovers causality. This Bayesian approach transforms collective belief into Prediction Intelligence (PI), empowering us to anticipate change, navigate complexity, and make better decisions for tomorrow.
In the realm of Prediction Markets (PM), human insight and AI capabilities converge. Here, real-world data doesn't just inform — it collaborates with AI to connect the dots between events and reveal hidden relationships in our world. By continuously analyzing how event probabilities evolve, we can construct a Bayesian causal graph — a dynamic map that not only reflects correlations, but also uncovers causality. This Bayesian approach transforms collective belief into Prediction Intelligence (PI), empowering us to anticipate change, navigate complexity, and make better decisions for tomorrow.
In the realm of Prediction Markets (PM), human insight and AI capabilities converge. Here, real-world data doesn't just inform — it collaborates with AI to connect the dots between events and reveal hidden relationships in our world. By continuously analyzing how event probabilities evolve, we can construct a Bayesian causal graph — a dynamic map that not only reflects correlations, but also uncovers causality. This Bayesian approach transforms collective belief into Prediction Intelligence (PI), empowering us to anticipate change, navigate complexity, and make better decisions for tomorrow.
Copyright
This software and its source code are proprietary and confidential information of Bonding Curve Limited, operating under the brand name Bayes Labs.
Copyright
This software and its source code are proprietary and confidential information of Bonding Curve Limited, operating under the brand name Bayes Labs.
Copyright
This software and its source code are proprietary and confidential information of Bonding Curve Limited, operating under the brand name Bayes Labs.
This software and its source code are proprietary and confidential information of Bonding Curve Limited, operating under the brand name Bayes Labs.