Use Cases
PolyOrbit is designed to handle a variety of trading scenarios. Below are three common examples of how Chain-Reaction Automation can be applied to real-world market events.
Scenario 1: The Political Chain-Reaction
Context: Utilizing the correlation between primary elections and general elections.
The Strategy: A trader believes that if Candidate A wins the Primary Election, their odds of winning the General Election increase significantly.
The Setup (Link Order):
Source: "Winner of Republican Primary" (Bet: Candidate A).
Condition: IF Source resolves YES.
Target: Buy "Winner of 2028 Presidential Election" (Bet: Candidate A).
Outcome: As soon as the primary is called for Candidate A, the winnings are instantly rolled over into the General Election market before the broader market has time to adjust the odds, securing a better entry price.
Scenario 2: The Sports Hedge
Context: Protecting capital during a live football match.
The Strategy: A user bets on Team X to win but wants to limit losses if Team X concedes an early goal.
The Setup (Hedge-Link):
Source: "Team X vs Team Y Winner" (Bet: Team X).
Condition: IF price of "Team X Win" drops below 30 cents (indicating they are likely losing).
Action: Sell Position OR Buy "Team Y Win" to offset losses.
Outcome: The system detects the probability shift in real-time and executes the defensive trade, minimizing the total loss compared to holding the position until the end of the match.
Scenario 3: News-Driven Capital Allocation
Context: Trading based on economic data releases.
The Strategy: A trader predicts that if the Federal Reserve cuts interest rates, both Gold and Bitcoin prediction markets will rise.
The Setup (Split Order):
Source: "Fed Rate Decision: Cut?" (Bet: Yes).
Condition: IF Source resolves YES.
Action (Split):
50% of capital -> Send to Wallet (Take Profit).
25% of capital -> Buy "Bitcoin Price > $100k".
25% of capital -> Buy "Gold Price > $2500".
Outcome: The trader secures immediate profit while automatically diversifying the remaining risk capital into correlated assets tailored to the news event.
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