Case Study: Maximizing Alpha in Prediction Markets (Elastics x Prediction Hunt)

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The Challenge: Fragmented Liquidity

Prediction markets like Polymarket, Kalshi, and PredictIt often list the same events but with varying liquidity and price points. For an individual trader, manually checking these venues for the "best price" is inefficient and introduces significant execution risk.

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The Solution: Elastics x Prediction Hunt

The integration focuses on two core pillars: Market Matching and the Elastics AI.

1. Best-in-Class Market Matching

A key part of this partnership is the Prediction Hunt Market Matching API. Given that this API matches thousands of markets across six different prediction markets, this endpoint is the most reliable way to connect the same event across multiple prediction markets. Essentially, this tool serves as the "Smart Order Router" for the prediction market world. More specifically, it supports these use cases:

• Cross-Market Price Discovery: If a user wants to bet on Gavin Newsom for the 2028 US Presidency, Prediction Hunt scans all available venues (Polymarket, Kalshi, etc.) to identify where the cheapest "Yes" shares or most expensive "No" shares are currently trading.
• Arbitrage Identification: By matching identical contracts across different platforms, the API surfaces risk-free or low-risk arbitrage opportunities that Elastics AI can then execute instantly.

2. The Elastics Stack

Once Prediction Hunt identifies the best venue, the Elastics stack takes over to manage the lifecycle of the trade.

• Elastics Agents: Traders can build "if this, then that" workflows that turn ideas into automated strategies. Define a trigger (a price threshold, a news event) and an action, and the agent executes at the best available price across connected venues, without manual intervention.
• Elastics Arbitrage: When Prediction Hunt surfaces a mispricing across venues, the Arbitrage feature executes and monitors every leg of the trade in one place. Traders see the depth of the market on each side, the realized spread after fees, and the status of each leg in real time, so partial fills and venue-specific risk never go unnoticed.
• Ideation: Traders can describe a strategy in plain English, like "buy Newsom 2028 on whichever venue is cheapest whenever the spread between Kalshi and Polymarket exceeds 3 cents," and Elastics turns it into a live agent with the trigger, execution logic, and venue routing already wired up.

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The Workflow in Action

1. Signal Generation: An Elastics Agent detects breaking news about a shipping incident in the Strait of Hormuz, matching a trigger the trader defined in plain English.
2. Market Selection: The Prediction Hunt API identifies that the "Strait of Hormuz closure in 2026" contract is trading at 0.15 on Kalshi and 0.18 on Polymarket.
3. Execution: The Elastics Execution Layer routes the order to Kalshi to capture the better price, with the full trade logic and venue routing already wired up by the agent.
4. Monitoring: Elastics tracks the position and every leg of any related arbitrage, alerting the trader in real time if liquidity thins on one venue, or the price hits a pre-defined risk limit.

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Summary

By combining Prediction Hunt's ability to find the best price with Elastics' ability to automate execution and monitor risk across venues, Elastics' terminal is the first true, AI-powered terminal for individual traders in the prediction market ecosystem.