I've always felt that blind DCA leaves money on the table, so I built a backtesting tool to see how much optimizing DCA (using sentiment) actually improves returns.
For example, in the screenshot, a combined strategy outperformed a normal DCA by over 100% in a 1-year backtest.
I'd love to hear what the community thinks about the retail Google trends metric or if there are any other open-source APIs I should be pulling from.
Hace mucho trabajo en el DCA, el mejor rendimiento a medida que pasa el tiempo es el diario (después el semana, bi-semanal y/o mensual) son similares
Para que tomes en cuenta sumar el diario
Thank you. This is great feedback!
On the data sources question specifically:
Google Trends caveat: It's a lagging indicator — people search after seeing the price move, not before. Still useful as a retail temperature gauge, but don't expect it to front-run price.
Free/open-source APIs worth looking at:
On-chain metrics that tend to lead sentiment:
One thing I'd watch for in backtests: sentiment-weighted DCA can underperform in prolonged bear markets because sentiment stays low for extended periods, causing you to over-invest into a continuing decline. Worth stress-testing against 2018 and 2022 specifically.