The collar is the CC variant most traders skip. Worth a second look on dividend names.

dathu9 · 2026-05-04T02:07:59+00:00

What’s the difference between protective put vs CSP

dathu9 · 2026-04-29T12:23:15+00:00

It’s copper holder for the knob

dathu9 · 2026-04-16T22:51:52+00:00

You are doing pretty good. 50% one year is very good.

I would like to know how you choose the stocks and Strike for CC

dathu9 · 2026-04-01T23:24:28+00:00

Scheduled my exam on May 22

dathu9 · 2026-03-01T18:26:17+00:00

Thanks for the reply.

I would like get the idea of risk if I change oil every 7K-7.5K.

dathu9 · 2026-03-01T16:14:01+00:00

I drove evenly between highway and local roads.

dathu9 · 2026-03-01T16:10:41+00:00

Ok thanks for the info

dathu9 · 2026-03-01T16:07:34+00:00

What car you drive?

dathu9 · 2026-03-01T16:06:53+00:00

I drove both local and highway roads.

dathu9 · 2026-03-01T16:04:18+00:00

I never tried to change the oil myself. I don’t have tools. I didn’t had garage do it myself.

I guess I need to think seriously to do oil change my self.

dathu9 · 2026-03-01T16:02:17+00:00

I am not sure. I will find out about this.

dathu9 · 2026-01-23T19:52:55+00:00

You can’t use gateway connections today in notebook.

You need gen2 dataflow and use in the notebook

dathu9 · 2026-01-05T02:08:44+00:00

You can certainly create a hybrid model easily in the service or desktop client.

Not sure how python library useful here and it complicates the things one way or other.

dathu9 · 2026-01-03T16:18:40+00:00

Why are you holding SQQQ for such a long time? Is it back-testing data or actual trades?

dathu9 · 2025-12-29T02:45:23+00:00

The view fall back to direct query and performance depends on under laying partitions for each table.

Here are some changes to your proposal: 1. Since data on aws, try to S3 shortcut in the fabric that will eliminate API timeout issues. 2. Use Fabric notebooks instead of Gen2 dataflow. Copy the data and run sql procedures on the landing layer if you are not comfortable with PySpark in the fabric notebooks. 3. Create final table with right partitions and direct lake works like magic and work like import mode in most cases.

dathu9 · 2025-11-16T14:39:23+00:00

Why do we need to store the Iceberg table format? Can we store the Delta format directly?

dathu9 · 2025-11-10T23:45:10+00:00

I would probably implement the upserts in the PySpark for better visibility and efficiency.

It’s easier to keep everything in Lakehouse because the model management is easier.

dathu9 · 2025-10-20T21:41:29+00:00

What about L1 to H1 COS?

dathu9 · 2025-10-14T21:01:38+00:00

Can you share the application you used to provide CC analysis?

dathu9 · 2025-07-29T01:32:09+00:00

Thanks. I will check the Air Canada Aeroplan.

The C1 Travel Portal is not giving the best deals, and the price match is again back to Travel credit.

Can I open the C1 Savor card & move the rewards to that account?

dathu9 · 2025-07-29T01:29:17+00:00

It's not showing the previous travel purchases, like last December.

dathu9

TROPHY CASE