@bitnxs

The official account of BitNxs — an AI agent exchange. Product updates, platform guides, and announcements.

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Joined October 2026
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Fees look tiny per trade and add up fast if you trade often. Bitnxs publishes its fee schedule through the public API, by default 2 bps maker and 5 bps taker, so a Grok Bot can pull it and price out a month of your own trading.
Bitnxs graphic: Price out your fees. Default fee schedule from the Bitnxs public API: maker 2 bps, taker 5 bps. A Grok Bot compares a month of trading with market orders versus limit orders.

ALT Bitnxs graphic: Price out your fees. Default fee schedule from the Bitnxs public API: maker 2 bps, taker 5 bps. A Grok Bot compares a month of trading with market orders versus limit orders.

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Tell it roughly how you trade: position size, trades per week, how often you use market vs limit orders. It runs the math both ways, so you can see what moving some entries to limit orders would save at the maker rate.
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Add funding and slippage and you have your real cost per trade, which is worth knowing before you decide a setup works. @grok how much do round-trip fees cost on 20 trades of $5,000 each at a 0.05% taker fee?
Funding on Bitnxs settles every hour, so on a position you hold for days it quietly adds up. A Grok Bot can total it for you: the public API returns the last 168 hourly rates for BTC, ETH or SOL, a full week, no API key needed.
Bitnxs graphic: What did funding cost you? A Grok Bot calculation card: last 168 hourly rates from the Bitnxs public API, position size and side, total paid or received over 7 days, compared with your target.

ALT Bitnxs graphic: What did funding cost you? A Grok Bot calculation card: last 168 hourly rates from the Bitnxs public API, position size and side, total paid or received over 7 days, compared with your target.

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Give it your size and side and let it write a short script that sums what that position paid or received over the week. When funding is positive, longs pay shorts. When it's negative, shorts pay longs.
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If the carry eats a big part of your target, a shorter hold or a smaller size may fit better. That call is yours. The bot just puts the number in front of you. @grok at 0.01% per hour, what does funding add up to over 30 days on a $10,000 position?
The most expensive trade is often the one right after a big loss. You want it back, so you size up, skip the stop, and take a setup you'd normally pass on.
Bitnxs graphic: The trade after the loss. Checklist: daily loss limit, no size increase, short break first, note why you took it.

ALT Bitnxs graphic: The trade after the loss. Checklist: daily loss limit, no size increase, short break first, note why you took it.

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A few rules traders use to break that loop: - a daily loss limit, and you're done when you hit it - no size increase after a loss - a 15 minute break before the next trade - write down why you took the last one
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Sounds simple. It's hard in the moment, which is why you set the rules while you're calm. Leverage makes revenge trades hurt faster, so they matter even more on perps. @grok what does research say about how traders perform right after a big loss?
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Price up with open interest rising means new positions are piling in. Price up while open interest falls usually means shorts are closing out. Same green candle, very different story underneath.
Bitnxs graphic: Same candle, different story. Price versus open interest: price up and OI up means new positions opening; price up and OI down means shorts closing; price down and OI up means new shorts opening; price down and OI down means longs closing.

ALT Bitnxs graphic: Same candle, different story. Price versus open interest: price up and OI up means new positions opening; price up and OI down means shorts closing; price down and OI up means new shorts opening; price down and OI down means longs closing.

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Add funding and you get a rough read on crowding. Rising OI plus funding getting more positive means lots of new longs paying to stay in. That's the kind of setup where a sharp drop can turn into a long squeeze.
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None of this calls tops or bottoms. It just tells you who's exposed. On Bitnxs the 1h funding rate sits above the chart with a countdown, so it's a quick check before you join the crowd. @grok how has BTC perp open interest changed this week, and where is funding sitting now?
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Averaging down on a leveraged position feels like fixing a bad entry. What it actually does is make the position bigger, so every extra percent against you now costs more than it did before you added.
Bitnxs graphic: Adding size adds risk. Position size bar after averaging down is much larger than the first entry. Same move against you, bigger loss. Plan the adds and one stop first.

ALT Bitnxs graphic: Adding size adds risk. Position size bar after averaging down is much larger than the first entry. Same move against you, bigger loss. Plan the adds and one stop first.

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On cross margin it gets worse. The new size leans on the same account balance, so adding without adding collateral can pull your liquidation price closer. One trade you won't let go of can end up risking the whole account.
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If you scale in, plan it before the first entry: total size, your add levels, one stop for the whole position. Isolated margin helps too, since it caps the damage at what you assigned to that trade. @grok what share of crypto liquidations in the last 24h were longs vs shorts?
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A market order fills at whatever's sitting on the book. When the book is thin, a big order eats through several price levels and your average fill ends up worse than the price you saw. That gap is slippage.
Bitnxs graphic: Thin book, worse fill. A BTC-USDC order book with asks and bids, showing a big market buy eating through several ask levels.

ALT Bitnxs graphic: Thin book, worse fill. A BTC-USDC order book with asks and bids, showing a big market buy eating through several ask levels.

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Before a bigger market order on Bitnxs, take a look at the order book and recent trades next to the chart. Plenty of size near the top means a cleaner fill. Gaps between levels mean you pay for them.
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Not in a rush? A limit order caps your price. IOC is a nice middle ground: it fills what's there at your limit and cancels the rest. @grok how does BTC perp order book depth usually change between US and Asia trading hours?
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The AI agent on Bitnxs runs on your model. You plug in your own OpenAI-compatible endpoint and API key, so you decide which model reads the market for you.
Bitnxs graphic: Bring your own model. AI Agent Trading model settings with an OpenAI-compatible endpoint field, an API key field and Conservative, Balanced, Aggressive presets. Marked experimental.

ALT Bitnxs graphic: Bring your own model. AI Agent Trading model settings with an OpenAI-compatible endpoint field, an API key field and Conservative, Balanced, Aggressive presets. Marked experimental.

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A few things follow from that. You pick the provider. Usage runs on your own key. And if a better model comes out, you switch the endpoint and keep going.
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Treat that key like any other: set a spending limit with your provider, don't reuse it across apps, and rotate it if it leaks. AI Agent Trading is still experimental, so start small. @grok what are the most common ways API keys get leaked, and how often should you rotate one?
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