Daily vs Weekly DCA ๐Ÿ’ก Daily DCA = smoother price entries, lower volatility per buy, ideal for long-term consistency. Weekly DCA = fewer trades, lower fees, but slightly higher timing risk. With you can test both โšก image
DCA with 3x today #automated
We build for people who DCA into Bitcoin. Altcoin promos and listings arenโ€™t on our roadmap. ๐—•๐—ถ๐˜๐—ฐ๐—ผ๐—ถ๐—ป-๐—ผ๐—ป๐—น๐˜†, ๐—ป๐—ผ๐˜„ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—น๐˜„๐—ฎ๐˜†๐˜€. image
image I built a Dollar Cost Averaging bot, hereโ€™s what I learned Years ago, I started tinkering with the idea of automating my bitcoin investments. Not because I wanted to โ€œbeat the marketโ€, 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 โ€” 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 โ€œset and forget,โ€ but they still check every day - Why back-testing results can look amazing on paperโ€ฆ but live trading always teaches you new lessons Iโ€™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 anyoneโ€™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 itโ€™s about the tech stack, exchange quirks, or the strategy side of DCA. #asknostr