When the Bitcoin CEO announces he’s raising prices… 📈😂 Good thing you don’t need insider calls to stack sats. With dca.bot you just automate your buys – pump or no pump. #dca

Recurring buys on a single exchange are fine for many. But you give up flexibility. Multi-exchange routing = split custody + redundancy if one provider has issues. Some exchange pairs have 0 fee BTC trades; fee drag matters when you DCA for years. Advanced execution: pause/resume rules, and multiplier DCA for better sizing. TL;DR: Split your DCA over multiple exchanges:

dca.bot

DCA Bot | AI-Powered Bitcoin Investing Automation | dca.bot

Automate Bitcoin investing with our AI-powered DCA bot. Get better entry prices, 24/7 trading, and superior returns. Start your smart DCA strategy ...

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.

This is your sign to DCA Bitcoin

𝗣𝗼𝗹𝗶𝗰𝘆: 1) Never shill alts. 2) Never list alts. 𝗠𝗶𝘀𝘀𝗶𝗼𝗻: Help you accumulate more Bitcoin. 𝗖𝗮𝗹𝗺𝗹𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 and 𝘀𝘂𝗽𝗲𝗿𝗰𝗵𝗮𝗿𝗴𝗲𝗱. That’s dca.bot

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.

Try it: dca.bot/en?utm_source=social&utm_campaign=week1_day1

You can still run classic fixed DCA. Multiplier DCA is for people who want more control without turning into a day trader.

Guardrails matter: multiplier is capped (0–3×) to prevent “stacking” too big buys in a fast dump.

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.

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.

What if you could supercharge DCA using technial indicators and AI? 🧵

DCA is great. But fixed amounts ignore context. 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. Try now:

dca.bot

DCA Bot | AI-Powered Bitcoin Investing Automation | dca.bot

Automate Bitcoin investing with our AI-powered DCA bot. Get better entry prices, 24/7 trading, and superior returns. Start your smart DCA strategy ...

🚀 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.

Dollar-Cost Averaging Bitcoin: Smarter, AI-Powered, and Automated https://medium.com/@dca.bot/dollar-cost-averaging-bitcoin-smarter-ai-powered-and-automated-e194f63889b2 #dca #bitcoindca

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

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

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