An Alpha goes public on Thursday. The author entered on Monday.
Those timestamps answer different questions. The author's fill explains the original trade. The public track record should start at publication, and a follower's results depend on their own fills.
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One thing to watch: year-over-year inflation can cool even as monthly price growth picks up. Compare each number with its own forecast before calling the release hot or cool.
A winning trade can still break the plan.
For AgentX, post-trade review should ask: did execution match the task, stay within limits, and stop when required?
P&L shows the outcome. Comparing the plan with the actions helps explain how it happened.
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Bullish on BTC? The instrument changes the risk.
Perpetuals involve funding and liquidation risk. Buying an option limits loss to the premium paid, plus fees.
1024EX supports both on one USDC balance.
The trade starts with a view. The structure determines the exposure.
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Two strategies. Similar returns. Different risks.
Before following either, ask: how was the return generated, what drawdown occurred, and how does the strategy trade?
For Alpha, clearer strategy and provider information should support more informed choices.
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"Buy BTC" leaves too much undefined.
At what trigger? With what size? Under which limits? When should the task stop?
For AgentX, our design principle is clear: define the trading task before automating the action.
A market view needs an execution plan.
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A trading workflow starts before the order and continues after the fill.
What supports the strategy? How should it be executed? What needs review?
At 1024EX, our direction is to connect these steps, with Alpha and AgentX central to that vision.
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Building a better Alpha experience.
We're refining strategy discovery, follow management, and provider dashboards based on real user feedback.
Our focus: clearer information, simpler workflows, and a more practical trading experience.
More updates as development progresses.
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Onchain transparency needs reliable monitoring.
In May, 1024EX announced a Sigma partnership to strengthen risk monitoring across 1024Chain.
The focus: identify potential risks, improve visibility, and support more reliable onchain infrastructure.
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Different markets. One USDC balance.
1024EX brings perpetuals, options, and event markets into a unified account structure.
No internal transfers between separate trading accounts are needed to access these markets.
One account architecture. Multiple trading possibilities.
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From market research to trade execution.
When we introduced AgentX, we outlined a workflow connecting market monitoring, strategy generation, execution, and post-trade review.
The key principle: AI-powered actions should operate within user-defined authorization boundaries.
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Why use Mark Price, not Last Price, for liquidations?
A single trade shouldn't determine liquidation risk.
1024EX uses Mark Price for perpetual margin and liquidation calculations, reducing dependence on isolated trades.
Better pricing references support risk management.
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Reliable trading starts with reliable order states.
From submission to cancellation, every transition matters.
Past 1024EX updates addressed non-deterministic transitions and improved cancellation handling.
Execution quality depends on consistency, not just speed.
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How does 1024EX help traders control slippage?
Market orders shouldn't mean unlimited price deviation.
Our perpetual trading API supports configurable slippage tolerance, with partial-fill and reject-all controls.
More control over execution. Less unwanted price deviation.
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Why reveal your entire order to the market?
1024EX supports Iceberg Orders, displaying only a small portion of a large order on the order book while keeping the remaining size hidden.
Less visible order size. More control over how large orders are placed.
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Oct 24 is our 1024 Day! 🎉
We're inviting 20+ KOLs to celebrate.
What excites me most? Disruptive Innovation. Not just another exchange — a new way to research, trade & copy trade.
Our mission: Democratize Onchain Financial Power.
May every 1024 Day mark real progress! 🚀
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"The hedge is in place" leaves a desk with too little context.
Hypothetical: the stock exposure shrinks, but the hedge still refers to the old size.
An AI workflow should surface the mismatch for review. "Hedged" cannot explain the remaining risk.
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A U.S. federal holiday does not automatically close the stock market.
NYSE has regular hours today: 09:30-16:00 ET (21:30-04:00 next day, Beijing).
An AI trading calendar should track each venue’s schedule, not inherit one country’s holiday label.
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Hypothetical: a desk requests an options hedge.
Drafted, approved, submitted and confirmed are different states. One transition cannot stand in for the next.
For AI-native trading, the workflow should make every transition—and its owner—visible.
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Product question for professional users:
When an AI buys a dataset for a stock study, what should arrive with it: source, usage rights, version, or a reproducible calculation?
The useful purchase is one your team can actually evaluate.
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