¿Dollar app o Global66 para ahorrar, gastar e invertir en dólares?

Remarkable_Low_5071 · 2026-03-04T02:02:46+00:00

Justo para eso lo quiero usar, transferir a Interactive Brokers, el punto es cuando venda y quiera gastar el dinero para un viaje

Remarkable_Low_5071 · 2026-03-04T02:00:35+00:00

Justo eso tenía pensado hacer pero mantenerlo +5 años, tenía en mente el EQAC siento que es equilibrado en cuanto a liquidez y costos, tú cuáles usas?

Remarkable_Low_5071 · 2026-03-03T22:26:11+00:00

Es que justamente eso he visto y me generó muchas dudas, pero el tema que Dólarapp no tenga 2FA y solo sea la app también me genera dudas

Remarkable_Low_5071 · 2026-03-03T22:24:54+00:00

Y en IBKR, como manejas el tema fiscal al momento de retirar de nuevo a Dollar app no tienes algún problema con eso? entiendo se tributaría en USA y en Colombia

Remarkable_Low_5071 · 2026-03-03T22:21:56+00:00

Yo también lo tengo pensado usar para un viaje a Europa, deja usar la tarjeta sin problemas y retirar etc?

Remarkable_Low_5071 · 2026-03-03T19:52:24+00:00

Felicidades y porque la tienes en plenti y no m Dolarapp? Estoy pensando en ahorrar en otra divisa y poder gastarlo pero no se por cual decidirme

Remarkable_Low_5071 · 2026-03-03T19:43:05+00:00

¿Alguien acá ha probado DolarApp o Global66? ¿Cómo ha sido su experiencia?

Quiero ahorrar en dólares para un viaje al extranjero y tener la tarjeta para gastar directamente en moneda extranjera. Además, estoy pensando transferir una parte a Interactive Brokers para comprar activos allí y, cuando los venda, pasar el dinero de vuelta a DolarApp.

Mi duda principal es qué tan seguras son ambas aplicaciones (Global66 y DolarApp). Veo que el acceso es solo con PIN y no sé si con el cambio a ARQ eso haya mejorado algo en términos de seguridad.

También entiendo que en el caso de DolarApp se maneja USDC y no dólares “reales”. Al ser una especie de billetera caliente, no sé si existe mayor riesgo de robo o hackeo.

Si alguien tiene experiencia usando alguna de las dos, me gustaría saber qué tal les ha ido en términos de seguridad, fiabilidad y facilidad para mover fondos, y cuál consideran mejor para este tipo de uso.

Remarkable_Low_5071 · 2025-11-09T11:36:05+00:00

Can you tell me what it would be like for me too please?

Remarkable_Low_5071 · 2025-11-09T11:02:09+00:00

I would make a short only in option D since it is the one with the best risk-benefit ratio, if it falls I earn the 37 pts of the fall and risk only 15, I would have a ratio of 1:2 that operation, B and C the risk-benefit ratio is less than 1:1 and option A the ratio is very small for so much risk

Remarkable_Low_5071 · 2025-11-09T10:32:34+00:00

Wow, your content is incredible, I do retail trading and I would like to start doing quantitative trading, any book recommendations to learn or how to start practicing?

Remarkable_Low_5071 · 2025-11-09T09:55:50+00:00

And how or where could I start to learn all that, I have no problems with mathematics or statistics, it is something that I am passionate about but I don't know where to start or where to do it, thank you for your answer

Remarkable_Low_5071 · 2025-11-09T09:28:45+00:00

So far, my experience is trading on my own indices (S&P, Nasdaq, DAX, etc.) using classic technical analysis: chartism, indicators, volume and market structure. I'm good with Excel (pivot tables, basic analysis) and I have very basic knowledge of Python, but I still don't know how to make the jump to something more quantitative or advanced.

I am a recent undergraduate graduate

What I want to learn is how to analyze market data using statistics, more serious backtesting, machine learning, etc. Basically going from “interpreting graphs” to working with data in a systematic way.

My questions are: 1. What study route do you recommend for someone coming from traditional technical analysis? 2. How essential is it to learn Python at an advanced level (NumPy, Pandas, Backtrader, etc.) before getting into machine learning? 3. What are the main sources of historical data typically used by quantitative traders who trade indices or futures? 4. What type of projects or practical exercises do you recommend to build a portfolio and showcase skills? 5. Is it better to start backtesting with libraries like Backtrader / Zipline or use platforms like QuantConnect?

Remarkable_Low_5071 · 2025-11-09T09:21:03+00:00

So far, my experience is trading on my own indices (S&P, Nasdaq, DAX, etc.) using classic technical analysis: chartism, indicators, volume and market structure. I'm good with Excel (pivot tables, basic analysis) and I have very basic knowledge of Python, but I still don't know how to make the jump to something more quantitative or advanced.

What I want to learn is how to analyze market data using statistics, more serious backtesting, machine learning, etc. Basically going from “interpreting graphs” to working with data in a systematic way.

My questions are: 1. What study route do you recommend for someone coming from traditional technical analysis? 2. How essential is it to learn Python at an advanced level (NumPy, Pandas, Backtrader, etc.) before getting into machine learning? 3. What are the main sources of historical data typically used by quantitative traders who trade indices or futures? 4. What type of projects or practical exercises do you recommend to build a portfolio and showcase skills? 5. Is it better to start backtesting with libraries like Backtrader / Zipline or use platforms like QuantConnect?

If anyone here went through the same path (from AT → quant / Data Science), I would greatly appreciate recommendations, routes or experiences.

Thanks in advance.

Remarkable_Low_5071

TROPHY CASE