1024EX
@1024EX
1024EX Predict turns World Cup views into executable markets with up to 10x leverage. Match updates. Event markets. Outcome trading. | Founder & CEO @XavierQin
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Finish the sentence:
I would let my AI execute without asking again only if __________.
Not a feature list. Name the boundary that would make you comfortable.
Scenario:
You approve a trade at 10:00.
At 14:00, a new filing changes the thesis.
Price is still inside the original entry range.
Should the approval:
A) remain valid
B) pause for review
C) cancel automatically
Why?
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A trade authorization should not live forever.
Scope it by market, instrument, size, time window and price limits.
If the opportunity changes, permission should expire with it.
Autonomy needs an expiry date.
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What's hardest to understand before placing an options trade?
• expiry
• implied volatility
• Greeks
• payoff at different prices
Pick one. Every reply is a product priority.
You expect a stock to rise—but not until next quarter.
A weekly call can be directionally right and still expire wrong.
Direction is one variable. Time is another.
What do you define first: the catalyst window or the contract expiry?
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“Bullish” is not an order.
Shares, calls and spreads can express the same view with different expiry, volatility and payoff risks.
The useful question isn't “Which can make more?”
It's “Which risk am I choosing to own?”
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How much portfolio context would you share with an AI to get a better trade preview?
A) None
B) One position
C) Exposure summary
D) Full portfolio
The product question isn't just “what helps?” It's “what is actually necessary?”
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Two traders share the same bullish view on semiconductors.
One owns no tech. The other is already concentrated in chips.
Same thesis. Different portfolio. Different trade.
Personalization should use only the context you choose to share.
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Trader: “I'm bullish on NVDA.”
AI: “What do you already own?”
1024EX: “Here is the trade preview. Nothing moves until you approve it.”
Three roles. One conversation. No need to replace the AI you already use.
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One missing field makes you close a trade preview. Which is it?
A) Quote timestamp
B) Expiry
C) Editable order details
D) Payoff at different prices
Reply with the first red flag you'd notice—not “all four.”
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AI can propose an options trade. Before anything is authorized, the preview should answer:
What are you buying?
When does it expire?
What can change before then?
What exactly will be sent?
The preview is where opinion becomes responsibility.
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The first move after a Fed decision is often the loudest, not the clearest.
Separate the rate decision, statement, projections and press conference before touching the order.
One event. Four evidence layers. Many possible structures.
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Where should a trading tool appear inside an AI conversation?
A) The moment a ticker appears
B) When the thesis becomes specific
C) Only after you say “prepare the trade”
D) Never automatically
Timing is part of trust.
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Before the Fed decision, “hawkish or dovish” is still analysis—not a trade.
A plan needs branches: decision, statement, projections, press conference—and what each one changes.
Which branch would you be willing to authorize before the event?
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Your AI already knows how you research. You shouldn't have to start over inside another trading app.
We're building 1024EX as the execution layer: bring the opportunity, inspect the trade preview, decide what gets authorized.
Keep your AI. Add an execution layer.
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You give an AI one sentence:
“Build me a momentum strategy for SPY.”
What should it ask before doing anything?
A) Timeframe
B) Maximum loss
C) Holding period
D) All three
Our vote: D—and B should never be optional.
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Leverage should not be the first number you choose.
Start with the maximum loss you can accept. Then let position size, stop logic and leverage fit inside that limit.
Would you set leverage yourself—or set max loss and let the system calculate it?
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A backtest is not a trophy. It is a claim you should be able to inspect.
Before you click “clone and start,” understand the rules, the drawdown, the sample size and where the strategy breaks.
Don't clone the return. Clone the rules.
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Strategy A wins 70% of trades but takes occasional large losses.
Strategy B wins 40% but caps every loss.
If you already picked one, that's the trap.
What would you ask next?
A high win rate can still hide a bad strategy.
Before you clone one, inspect:
• return
• max drawdown
• Sharpe
• number of trades
• backtest window
One number sells the story. Five numbers help you question it.
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