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    <title>DEV Community: ttt</title>
    <description>The latest articles on DEV Community by ttt (@ttt34567890).</description>
    <link>https://dev.to/ttt34567890</link>
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      <title>DEV Community: ttt</title>
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      <title>5 Silent Bugs That Break On-Chain RWA Trading Bots (and How to Handle Them)</title>
      <dc:creator>ttt</dc:creator>
      <pubDate>Fri, 21 Aug 2026 16:16:19 +0000</pubDate>
      <link>https://dev.to/ttt34567890/5-silent-bugs-that-break-on-chain-rwa-trading-bots-and-how-to-handle-them-2a1d</link>
      <guid>https://dev.to/ttt34567890/5-silent-bugs-that-break-on-chain-rwa-trading-bots-and-how-to-handle-them-2a1d</guid>
      <description>&lt;p&gt;I've watched (and built) enough on-chain trading bots to know that the ones that fail rarely blow up spectacularly — they leak. Here are five quiet failure modes I've seen over and over in RWA bot development, and how to handle each one.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;&lt;p&gt;Acting on stale reference data&lt;br&gt;
The classic. The on-chain price looks dislocated, but the off-chain reference is just lagging, so the "opportunity" vanishes the moment you enter. Handle it: only trade when your reference quote is confirmed fresh — a staleness flag (like the one HyperBasis provides) makes this a one-line check.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Ignoring session gaps&lt;br&gt;
Overnight and during holidays, the reference market is closed but the perp keeps trading. Spreads widen for real, and naive mean-reversion logic gets run over. Handle it: make your strategy session-aware, and widen your thresholds when the reference market is shut.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Treating corporate actions as signals&lt;br&gt;
A 3% drop from a dividend or a split looks exactly like a breakdown — until it snaps back. Handle it: normalize your reference series for splits and dividends so these events never trigger your entry logic.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Overlooking execution friction&lt;br&gt;
A spread can be real and still be untradeable if slippage and fees eat the edge. Handle it: model your all-in cost (spread minus slippage minus fees) before you size the position, not after.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;No data-source fallback&lt;br&gt;
If your single data feed hiccups, your bot either trades blind or freezes. Handle it: build in health checks and a sensible "do nothing" default when data is uncertain.&lt;/p&gt;&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;The common thread&lt;/p&gt;

&lt;p&gt;Every one of these comes down to the same thing: trusting your data before you trust your signal. Tools like HyperBasis bake a lot of these guards in (staleness flags, session handling, corporate-action normalization), which is why I lean on them instead of re-deriving all of it.&lt;/p&gt;

&lt;p&gt;Which of these has bitten you? I'd love to swap war stories in the comments.&lt;/p&gt;

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      <category>blockchain</category>
      <category>crypto</category>
      <category>web3</category>
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