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dca.bot
dca.bot@nsec.app
npub1swrg...xxm6
DCA, but supercharged
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dcabot 8 months ago
We size with rules, not vibes. If you had to pick inputs for multiplier DCA, what’s on your list? • Price structure / volatility • Momentum/RSI • On-chain (MVRV, SOPR, etc.) • Funding/perp skew • Social/news Reply with your top 2 and why. image
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dcabot 8 months ago
This is your sign to DCA Bitcoin image
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dcabot 8 months ago
𝗣𝗼𝗹𝗶𝗰𝘆: 1) Never shill alts. 2) Never list alts. 𝗠𝗶𝘀𝘀𝗶𝗼𝗻: Help you accumulate more Bitcoin. 𝗖𝗮𝗹𝗺𝗹𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 and 𝘀𝘂𝗽𝗲𝗿𝗰𝗵𝗮𝗿𝗴𝗲𝗱. That’s dca.bot image
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dcabot 8 months ago
My Bitcoin strategy: the bot buys the dip, I buy the chips. DCA means I only time snacks, not markets. Future-me gets sats, present-me gets salsa. Win–win. image
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dcabot 8 months ago
Try it: dca.bot/en?utm_source=social&utm_campaign=week1_day1
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dcabot 8 months ago
You can still run classic fixed DCA. Multiplier DCA is for people who want more control without turning into a day trader.
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dcabot 8 months ago
Guardrails matter: multiplier is capped (0–3×) to prevent “stacking” too big buys in a fast dump.
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dcabot 8 months ago
Example: base DCA $100 → at 2.5× you buy $250; at 0.5× you buy $50. In overheated markets you scale back or skip. Preserve dry powder for better entries.
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dcabot 8 months ago
We use a 𝟬–𝟯× 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝗿 to size buys based on market conditions—within strict caps & cool-downs. It’s still DCA, just smarter allocation.
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dcabot 8 months ago
What if you could supercharge DCA using technial indicators and AI? 🧵 image
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dcabot 8 months ago
🚀 Just shared on Hacker News: how a weekend project turned into 𝗱𝗰𝗮.𝗯𝗼𝘁 – a Bitcoin DCA tool that removes emotions, adds multiplier logic, and runs across exchanges. 👉 news.ycombinator.com/item?id=45221852 Would love feedback from builders & Bitcoiners. image
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dcabot 9 months ago
Missing buys. Panic buying pumps. Forgetting during sideways. We’ve all been there. That’s why we built dca.bot → smarter Bitcoin DCA with multiplier logic. On average: 30% more BTC vs normal DCA. #dca
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dcabot 9 months ago
image I built a Dollar Cost Averaging bot, here’s what I learned Years ago, I started tinkering with the idea of automating my bitcoin investments. Not because I wanted to “beat the market”, but because I was tired of: - Forgetting to make my buys on time - Buying emotionally during pumps - Getting bored during sideways and forgetting to buy (again) What started as a weekend project has turned into something much bigger: a fully working multi-exchange DCA bot that supports both fixed and multiplier strategies, backtest, and risk modeling. Along the way, I learned a ton — not just about code, but about: - How different exchanges handle API limits (and how frustratingly inconsistent they are) - Why small order sizes can cause more trouble than large ones - The psychological side: most people want to “set and forget,” but they still check every day - Why back-testing results can look amazing on paper… but live trading always teaches you new lessons I’m sharing this because I think a lot of devs and traders have thought about building something similar but the rabbit hole is deeper than it looks. Lets connect! If anyone’s interested, I can dive deeper into: - How multiplier DCA actually works in practice - The mistakes I made early that almost killed the project - Why I think 90% of DCA bots on the market are using sub-optimal execution logic Happy to answer anything, whether it’s about the tech stack, exchange quirks, or the strategy side of DCA. #asknostr