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How to Build a Crypto DCA Bot with OpenClaw (Paper Trading)

How to Build a Crypto DCA Bot with OpenClaw (Paper Trading)

via Dev.to PythonPaarthurnax

Dollar-Cost Averaging (DCA) is one of the most battle-tested investment strategies in crypto. The idea is simple: instead of trying to time the market, you buy a fixed dollar amount of an asset at regular intervals — regardless of price. Over time, you accumulate more coins when prices are low and fewer when prices are high, averaging out your cost basis. The problem? Doing DCA manually is tedious. You have to remember to buy, fight the temptation to skip when markets are red, and track your average cost basis across dozens of purchases. The solution: a DCA bot. But before you run one with real money, you should validate it in paper trading mode. That's exactly what we're going to build today with OpenClaw. What You'll Build By the end of this tutorial, you'll have: A configurable DCA bot that buys on a schedule Paper trading mode so you can test without real money Performance tracking to measure your average cost basis Basic risk controls (max buy price, emergency stop) Why OpenClaw f

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