As an NBA fan, I have been captivated by the game since childhood. Regarding the Rockets team, probably everyone remembers the 90s: 22 consecutive wins, the Medai moment, Yui — these scenes evoke memories on their own. Back then, we discussed roster changes, feelings during the game, the pace of the match, essentially — constantly making assessments.



The topic seems a bit off track, but in fact, it is not far at all, because today we are talking about @OfficialApeXdex, specifically about how this ability to make assessments, formed by years of observing the game, can be transferred into a blockchain scenario that can be directly executed.

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『NBA Predictions — the most natural entry point』

In the Prediction module on ApeX @OfficialApeXdex, by selecting NBA, you will see the currently available markets for participation. The concept here is deliberately simplified to lower the barrier to understanding — users do not need to understand complex derivative structures, just make an assessment in a familiar match result context.

If an assessment is submitted, it is automatically converted into a state on the blockchain and enters the calculation process. The essence is that this allows sports fans to participate in blockchain processes for the first time, focusing not on tools, but on the assessment itself.

Example — I took a screenshot during the game on the 15th between the Rockets and Denver.

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『How a prediction can become a pricing mechanism』

From a mechanical point of view, Prediction on ApeX @OfficialApeXdex is not just betting on results, but a system of expressing probabilities.
Participants make assessments of future states, which are transformed into price and weight in the contract, and ultimately — verified through the calculation process.

This is in line with the logic of risk-free pricing in perpetual contracts, the only difference being the underlying assets. Whether it’s the price path of the asset or the distribution of outcomes — essentially, it’s a quantitative processing of uncertainty, and forecasts simply bring this processing into a more intuitive scenario.

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『Arbitrum — the prerequisite for efficiency』

ApeX @OfficialApeXdex uses a multi-chain architecture, and initial and key trading scenarios have long operated on the Arbitrum @arbitrum network, which is an L2 chain. Thanks to low fees and high throughput, Arbitrum enables high-frequency assessments and fast on-chain calculations.

This is especially important for systems where predictions and perpetual contracts coexist, as information and funds need to move quickly between markets.
If efficiency is sufficient, arbitrage actions reduce differences, and prices converge to an arbitrage-free range, with the quality of assessments truly reflected in the results.

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When perpetual contracts on $MSTR stocks, $COIN cover, and the prediction market — NBA, English Premier League, it seems like a horizontal expansion is happening, but in reality, it follows the same logic of price volatility.

ApeX @OfficialApeXdex not only connects different categories but also allows traders to reuse the same assessments multiple times in different scenarios.
Perpetual contracts scale assessments, forecasts confirm them, and they exist in parallel on a single infrastructure, which in itself is a system that can be repeatedly verified.

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GateUser-cfbce142vip
As a NBA fan, I have been watching games since I was a kid. Speaking of the Rockets, most people born in the 90s probably can't avoid them—22 consecutive wins, Tracy McGrady's moments, Yao Ming—these images come to mind automatically when mentioned. Back then, we discussed roster changes, on-the-spot feel, game pace, essentially making judgments all along.

The topic might seem a bit off track, but actually it's not far off, because today we're talking about @OfficialApeXdex, which puts the judgment formed from years of watching games into an on-chain scenario that can be directly executed.

____🏀____🦍____🏀____🦍____🏀____🦍____

『NBA Predictions as the Most Natural Entry Point』

In ApeX @OfficialApeXdex 's Prediction module, selecting NBA allows you to see the current available match markets. The design deliberately lowers the understanding threshold, not requiring users to understand complex derivatives structures first, just to give judgments on familiar game trends.

Once a judgment is submitted, it is mapped to an on-chain state and enters the settlement process. The significance of this step is that it allows sports fans to participate on-chain for the first time, focusing not on the tool but on the judgment itself.

Here, I took a screenshot of the Rockets vs. Nuggets game on the 15th.

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『How Predictions Can Become a Pricing Mechanism』

Mechanically speaking, ApeX @OfficialApeXdex 's Prediction is not just simple result betting, but a probability expression system. Participants make judgments about future states, which are converted into prices and weights in the contract, ultimately validating their effectiveness through settlement.

This aligns with the risk-neutral pricing logic in perpetual contracts, with the only difference being the underlying asset. Whether it's the asset price path or the distribution of game outcomes, it is essentially a quantification of uncertainty. Predictions simply bring this approach into a more intuitive scenario.

____🏀____🦍____🏀____🦍____🏀____🦍____

『Arbitrum as an Efficiency Premise』

ApeX @OfficialApeXdex adopts a multi-chain deployment architecture, with its early and core trading scenarios running long-term on the Arbitrum @arbitrum L2 network. The low fees and high throughput provided by Arbitrum @arbitrum make high-frequency judgments and rapid settlements on-chain possible.

This is especially crucial for systems where predictions and perpetual contracts coexist, as information and funds need to flow quickly between different markets. When efficiency is high enough, arbitrage behaviors can continually compress deviations, causing prices to converge within the no-arbitrage zone, and the quality of judgments will be truly reflected in the results.

____🏀____🦍____🏀____🦍____🏀____🦍____

When stock perpetuities cover $MSTR , $COIN , and prediction markets cover NBA and Premier League, it may seem like a horizontal expansion, but in fact, it follows the same volatility pricing logic.

ApeX @OfficialApeXdex is not simply stacking different categories together, but enabling traders to repeatedly use the same judgment capabilities across different scenarios. Perpetuals amplify judgments, predictions verify judgments, and they coexist on the same infrastructure, forming a system structure that can be repeatedly tested.

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