How to Build a Prediction Trading System? Three Gameplay Methods, Odds Mechanisms, and Platform Integration Guide

How to Build a Prediction Trading System? Three Gameplay Modes, Odds Mechanisms, and Platform Integration Guide

Exchanges, wallets, or community platforms that already have users and want to add a price prediction trading entrance often consider the page and gameplay first. However, launching a sustainably running prediction trading system also requires connecting quotes, order conditions, price evidence, fund processing, risk limits, and settlement records into a complete workflow.

This article takes 6MM's three prediction trading gameplay modes as an example to illustrate the questions platforms need to answer when choosing products and planning integration. Specific available trading assets, cycles, and limits are subject to the actual enabled configuration of the cooperating platform.

What is the difference between prediction trading and perpetual contracts?

Prediction trading requires users to select a result condition and participate with a commitment amount; orders determine results based on the price and time conditions agreed upon by the gameplay mode. Perpetual contracts, on the other hand, revolve around positions, margins, leverage, and liquidation rules. Both can appear on the same platform, but account transfer, risk control, and settlement logic cannot be directly interchanged.

For example, a user predicting that the price will rise upon a certain round's expiration is different from a user holding a long perpetual position. The former must first confirm the round, start and end prices, bet amount, and odds; the latter also involves changes in position and margin.

How to choose among the three gameplay modes?

Gameplay mode User choice Result determination Suitable display entrance Price rise/fall prediction Specifies the direction of rise or fall for a designated round Compares the round's opening price and settlement price Fixed rounds, unified countdown Custom prediction User chooses prediction direction and order cycle Compares the order's opening price and expiration settlement price Users choose their own participation time Prediction grid Price range and future time window judgment Determines whether the price touches or crosses the selected range within the valid window Simultaneously observes the price and time grid interface

The differences among the three gameplay modes go beyond just the interface. Rise/fall prediction organizes orders by rounds, custom prediction organizes conditions by the placement time of each order, and the prediction grid jointly defines results through a price range and a valid time window. Platforms should first decide how they want users to choose, and then design the corresponding market data, rule explanations, and order pages.

How are odds generated? Why might they differ before and after order placement?

Different gameplay modes have different pricing methods:

1. Rise/fall prediction: Dynamic pool quoting. The funding pools and proposed investment amounts of both directions affect the displayed odds, and quotes are also constrained by configured upper and lower limits.
2. Custom prediction: Fixed odds configured according to asset and cycle. After the user submits and it is accepted, the order saves the odds and conditions at that time.
3. Prediction grid: Quoting based on touch probability. The selected price range, time window, reference price, and recent volatility affect the estimation; grids with quotes exceeding the configured upper limit may not be selectable. Corresponding snapshots are retained after order acceptance.

Therefore, the quote currently displayed on the page does not equal the acceptance conditions of historical orders. The platform needs to clearly display the investment amount, odds, estimated return, and time conditions on the confirmation page, and store verifiable records in the order details. Higher odds also do not mean a result is more likely to occur.

What links need to be connected for platform building?

1. Product configuration and page entrance

Determine the open gameplay modes, trading assets, cycles, rounds, minimum and maximum participation amounts, and let users see the corresponding rules before submission. Entrances can be designed around the platform's existing user paths, but the determination method for each gameplay mode must be written clearly.

2. Identity, accounts, and fund status

Correctly associate platform users with trading accounts, displaying available balances and frozen amounts after order placement. Prediction trading uses its corresponding funding account and frozen balance; do not directly copy perpetual contract account transfer explanations into prediction products.

3. Quoting and order confirmation

Obtain currently participating items and quotes, and verify balance, time windows, quotas, and risk limits upon submission. Accepted orders should be queryable for their ID, amount, odds, price conditions, time conditions, and status. Quote refreshes or configuration adjustments should not overwrite key conditions of already accepted orders.

4. Result determination and clearing/settlement

Rise/fall prediction compares the round's starting price and settlement price; custom prediction compares the starting price and expiration price of a single order; prediction grid checks whether the target range is touched or crossed within the valid window. There may be a time lag between result display and fund arrival; platforms should display processing status and retain price evidence, final returns, and fund flows for easy reconciliation.

5. Risk control and exception handling

Gameplay switches, asset and cycle availability, single and cumulative limits, risk exposure, odds deviation, and betting windows may all affect order acceptance. When encountering quote anomalies, price data delays, or pending settlements, users should be informed of the status rather than directly displaying all unfinished orders as failed.

Pre-integration checklist

• Can users understand "how to win", odds, and estimated returns before placing an order?
• Do the three gameplay modes respectively display their starting price, time conditions, and determination rules?
• Are there snapshots of key conditions when orders are accepted, and can they be queried later?
• Can results, order statuses, return amounts, and fund flows be reconciled transaction by transaction?
• Are there clear prompts for situations such as disabled assets, quota triggers, window closures, and data delays?
• Have applicable compliance assessments been completed for target operational regions, product descriptions, and user access requirements?

How does 6MM help platforms integrate prediction trading?

Aimed at platforms wishing to add trading capabilities to their existing products, 6MM provides product rules and trading infrastructure related to prediction trading. Partners can choose rise/fall prediction, custom prediction, and prediction grids according to their target users, and configure integration solutions combined with available assets, cycles, and limits.

If your platform already has users and traffic, it is recommended to first clarify the target entrance and gameplay mode, and then align the account, quoting, order, risk control, and settlement processes. View the 6MM prediction trading documentation, or visit the demo page to learn about the product; for cooperation inquiries, please contact market@6mm.com.