Q & A
Bayes Market uses an automated market maker (APMM) to set prices for each outcome. When you place a trade, the cost is calculated based on current prices, and the share amount is shown. As users trade, prices shift based on market demand.
Prices represent the collective probability estimate of an outcome. When new information appears (news, data, opinions), users buy or sell accordingly, adjusting prices. Like in financial markets, prices reflect evolving information and sentiment.
Each market lists its resolution time and source. Once the event occurs or reaches its deadline, Bayes applies the resolution rules and updates the market as "Settled." You can view results in your notifications, portfolio, or the market page.
Bayes aims to create clear markets, but in rare cases of ambiguity or contested outcomes, an internal review process will be initiated, taking community input into account. If necessary, the market may be marked "Invalid" and funds returned. Join our Discord to report issues: https://discord.gg/hb4R2jwa82
You can reach us through the following channels:
Join our Telegram in the help-and-feedback topic: 👉 https://t.me/bayesmarket
Join our Discord in the 🙌-help Channel: 👉 https://discord.gg/hb4R2jwa82
Email us: 👉 info@bayeslabs.tech. We aim to reply within 3 business days.
Currently, prediction rewards are distributed in Bayes Points, which can be used for trading and gift redemption. We're actively working on supporting stablecoins like USDC—stay tuned!
Spend Bayes Points to join any Point market and make your predictions.
New ways to use your Points—like exclusive rewards, special features, and more—will unlock over time.
Still need help?
If you have questions, run into issues, or just want to talk to someone from the team, we’re here to help.
1️⃣ Join our Telegram in the help-and-feedback topic: 👉 https://t.me/bayesmarket
(Our team is active and usually responds faster there.)
2️⃣ Join our Discord in the 🙌-help Channel: 👉 https://discord.gg/hb4R2jwa82
3️⃣ Email us: 👉 info@bayeslabs.tech
Don’t hesitate—we’d love to help you get the most out of Bayes.
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