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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The shift is not:
human trader → robot trader
It is:
trading alone → thinking with an intelligent copilot
AI can help shape the trade.
You still own the decision.
A new trading paradigm is coming.
Are you ready?
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Complete this before your next trade:
I believe ___ because ___.
I will act if ___.
I am wrong if ___.
I will reassess by ___.
One idea. Four sentences. Far more useful than “bullish.”
PPI lands at 8:30 ET.
The mistake is preparing for only one answer.
A useful event plan asks:
• What is priced in?
• What would surprise?
• What reacts first?
• What makes you stand down?
Which branch do you usually forget?
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After CPI, which signal mattered most to your trade?
A. Headline CPI
B. Core CPI
C. The first market reaction
D. The change in the rate path
Reply A–D. The release starts the conversation; price reveals what was actually new.
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The trade closes. The P&L is visible.
The harder question is: did the decision process hold up?
An AI-native workflow should help improve the next decision—not just explain the last chart.
What do you review after a trade?
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Before a trading agent can touch execution, it needs four boundaries:
• what it can trade
• how much it can risk
• how long permission lasts
• how you stop it
Smarter automation should come with tighter controls, not looser ones.
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AI can do a hundred things around a trade. Which one should it solve first?
A. Filter noise
B. Build scenarios
C. Define risk
D. Monitor the thesis
Reply A–D—and tell us why.
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Imagine this: a stock moves before the open.
You scan five tabs, save two charts, rewrite the same note—and the moment passes.
An AI-native workflow should keep the idea intact while you shape the trade.
How many tabs do you use?
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What should an AI-native U.S. stock plan feel like?
A. A finished answer you accept or reject
B. A draft you can question, change, and own
Pick A or B—and tell us how much control you’d hand to AI.
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When a leveraged trade goes wrong, what usually failed first?
A. Thesis
B. Timing
C. Position size
D. Exit
Reply A–D.
Leverage rarely creates the mistake. It reveals it faster.
An AI that always finds a trade is broken.
Sometimes the highest-quality output is: NOT YET.
No clean setup. No forced position.
Would you trust an AI more if it sometimes told you to stay out?
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GOOD NEWS ≠ GOOD TRADE
BAD NEWS ≠ BAD TRADE
The missing variable is expectations.
NEWS − EXPECTATIONS = SURPRISE
SURPRISE × POSITIONING = PRICE MOVE
The market doesn’t trade the headline.
It trades the gap.
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The next trading interface won’t win by adding more buttons.
It will shorten the loop:
evidence → decision → execution → review
AI-native trading isn’t “give me a stock pick.”
It’s a decision loop you can inspect.
Where does your current loop break?
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AI-generated isn’t a reason to trade.
Before you’d even review an AI-built U.S. stock plan, what would you need to see first?
Leverage does not create an edge. It makes a weak thesis fail faster, a late entry hurt more, and a missing exit harder to ignore. Define the risk first. Then decide whether more exposure is justified.
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One event can produce three different trades.
At a 5-minute horizon, you may be trading the first reaction.
Over days, the same event may be about repricing.
Over months, it may change the thesis.
Before asking “bullish or bearish?”, define the clock.
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The jobs number is out. But the headline isn’t the trade.
For U.S. stocks, watch the repricing path: what changed in rate expectations, which sectors absorbed the move, and what would reverse it.
Read the reaction—not just the release.
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AI can summarize the market in seconds. That isn’t the hard part.
The hard part is turning information into a trade plan you can inspect:
• What changed?
• What are the scenarios?
• Where’s the risk?
• What invalidates it?
That’s the layer we’re building at 1024EX.
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Prediction was chapter one. It showed us that traders move when the event, timeframe and downside are clear.
Now we're building 1024EX around the next step: AI-native trade plans for US stocks—with evidence, risk and execution in one loop.
A new trading paradigm is coming.
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Why switch apps when you can do it all in one place?
A brand-new Feed × Events feature is dropping soon on 1024EX.
Read the news
Spot the signal
Trade the event
One flow. Zero friction. Stay tuned! 🔥
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