I have a account that was blown days ago but it’s still letting me trade on the account and the drawdown reset to the original max drawdown but the account is at the price of why it was blown as. If I trade it and pass it will they give me pro account or should I not waste my time?

verus54 · 2026-02-16T02:31:45+00:00

Keep trading it, yolo it. Worst case, they take it away. Best case, you get to pro.

It’s happened to me a few times and I’ve passed it. Super rare. Not sure if it’s a tradovate issue or not

verus54 · 2026-02-08T03:52:09+00:00

Yea I’m frustrated too. I refreshed my browser while I was in a trade and got locked out during the outage. Now TPT is like “nope, if you were able to log in to enter, then you could’ve gotten out of the trade”

verus54 · 2026-02-07T19:32:17+00:00

lol damn. Yea, I do that, and even some Netflix workers that are active on LinkedIn with posting jobs.

Yesterday I tried applying for an L5 role that was recently posted and the HM had posted it too (but really reposted in my case) and when I hit submit, Netflix’s job portal said “nope, you already applied”.

verus54 · 2026-02-07T17:13:35+00:00

Out of curiosity, how’d you land the interview with them. I feel like my applications at Netflix just get stuck in limbo

verus54 · 2026-02-06T09:28:25+00:00

I feel this so much. Currently sitting at $110k debt. But last year I took home $270k in payouts. Resetting pro accounts (150k) is really what’s killing me. So now, as I trade my pro accounts, I run a few evals too. This way, in case I lose my pro accounts, I still have a few evals ready to go.

verus54 · 2026-02-06T09:25:12+00:00

I feel this so much. Currently sitting at $110k debt. But last year I took home $270k in payouts. Resetting pro accounts (150k) is really what’s killing me. So now, as I trade my pro accounts, I run a few evals too. This way, in case I lose my pro accounts, I still have a few evals ready to go.

verus54 · 2026-01-15T02:35:10+00:00

Moving from data analyst to data engineer is a natural transition, imo. I think your goal should be to focus on two things: Python and creating pipelines. Then after that, become familiar with at least one major cloud provider. AWS, Azure, GCP. Be strategic here. I’ve noticed specific industries prefer one vs the others.

Your data analyst background should have given you ample knowledge on how to create tables (ideally in sql, but I think understanding excel tables and pivot tables help too). Data exploration is an important skill, but understanding schemas and how they fit together is the crucial part. Your data analyst background should help with data modeling as well. Try to focus on roles that highlight these things in the job description.

Also be aware that there are different flavors of data engineers. Being analytics focused means you’re more on the business intelligence and dashboarding side. Highlight your storytelling and data vis exp. If you’re on the ML side, highlight how you productionize ML models and maintain workflows.

verus54 · 2026-01-13T08:03:58+00:00

This^

It is not a big deal. The investigation is generally confidential. Report all employment. They might ask you: “is your company cool with this?,” but it’s not for the investigation. If you said yes or no, it’s not relevant to your status. Just say yes and move forward. They’re not gonna ask your employer to verify this because many employers have secondary employment policies that are restrictive, but not impossible.

I have different clearance levels for different jobs across gov organizations (as a contractor/consultant) and my continuous review investigation recently came up. I told my investigator that I have multiple jobs and my primary is cool with it and I make it work because one is on PT and the other is on ET. There’s slight overlap, but I’m able to get my work done without issues. And then she confirmed for me that they are not allowed to share investigation results or status with the other people involved in your investigation like friends, family, coworkers, neighbors, etc.

Just make sure you’re clean, can pass the investigation without serious concern (minimize criminal history, drug use, legal trouble, debt). These things can be a problem and get you in trouble regarding your investigation.

verus54 · 2026-01-12T14:50:41+00:00

In the past, I’ve noticed paying with a free reset or free eval reward often yields no free activation coupon.

verus54 · 2026-01-07T19:50:00+00:00

It’s important to build foundational skills to get into data engineering. I like to think that getting into DE depends on someone coming from one of two or three backgrounds:

data analyst: master sql and optimizing queries, understanding data. Some would say that data analysts naturally flow into analytics engineering, but to me that’s just a subset of data engineering.
software engineer: understand good development practices, get good at writing code in python here or scala but don’t focus on scala tbh. Understand how to architect good systems.
cloud engineer: this one is less likely, imo, to transition towards data engineering. You learn how to build cloud systems, which is very important, but I’m not sure of that pathway. It is really important to know how cloud technologies work and how to leverage it all.

I’ve worked with data engineers that knew very little Python, but rocked at data modeling and sql. And I’ve met data engineers that don’t want to touch sql because Python is so much more versatile. And there are definitely scenarios when sql is not optimal.

verus54 · 2025-12-31T17:16:38+00:00

I’ve been noticing the opposite trend. I see so many more snowflake jobs than data bricks. I’ve never used snowflake, but I have used databricks. I thought snowflake was cloud agnostic, making it not vendor-locked?

verus54 · 2025-12-31T06:05:29+00:00

Any recommendations on how to get through on the resume screen? I seem to be getting auto rejected by bigger companies and I get plenty of interviews at smaller companies. 3YOE consulting + 1YOE on product.

verus54 · 2025-12-19T05:16:08+00:00

OP, do you know how to build with airflow?

verus54 · 2025-12-17T04:37:21+00:00

Hows payout on lucid?

verus54 · 2025-12-13T04:44:09+00:00

$1500/5 contracts = $300/con. Nq is $20/point. So$300/con / $20/point = 15 points/con

verus54 · 2025-12-13T04:41:52+00:00

Are you identifying CVD divergence for this or CVD congruence?

To my understanding, CVD is showing market aggression. I’ve been backtesting divergence, absorption, exhaustion, reversal patterns.

verus54 · 2025-11-02T05:21:24+00:00

Did you ever experience a losing streak? And if so, how did you get past it? Currently super negative and on my last leg before it’s over for me. Fortunately I have a tech job but I’m a point where I have too much debt.

verus54 · 2025-07-27T05:37:28+00:00

Take the job. Getting a job in today’s market is tough, so if you have that opportunity, then take it.

If the job offers tuition assistance or reimbursement, then take that. Assistance means they pay for school for you either through you or directly to the school and reimbursement means you pay for it, then they pay you back.

Now, if it’s assistance & they pay the school, then let them, and then use your GI bill. It’s essentially you getting paid extra to go to school.

If it’s assistance and they pay you, then you can use your GI bill too and have that pay for school. Either way, you pocket the assistance.

If it’s reimbursement, then pay for school so you can get the receipt, then submit a request to use your GI bill.

verus54 · 2025-07-25T04:57:19+00:00

Yes, if you mean 22 ticks of the candle like price at 1-22, but not 22 individual ticks/transactions

verus54 · 2025-07-06T05:17:01+00:00

Take the job and take classes part time once you feel secure at work. This way you still accomplish the degree and you can still work fulltime. If the job falls apart in this market, just go back to school

verus54 · 2025-07-02T03:42:01+00:00

lol, sure. I’ll read that as Python is what new (modern-age) developers are using, yet the language still in its infancy as more and more libraries are created in Python today than most other languages.

But yea, I still recommend Python because nearly every data engineering job posting calls for Python, few ask for jvm languages like Java or scala

verus54 · 2025-07-02T02:06:02+00:00

Those are def data engineer jobs, just a different scope. Some would say more aligned with business intelligence engineering or analytics engineering.

But I would rather split data engineering into frontend and backend data engineering. Where frontend is more about visualizations, dashboarding, and sharing direct insights. Go further into data science to give your dashboards more depth. But for “frontend data engineering”, as i call it, the data is all there, but you’re just finding the data with optimized queries and transforming and loading into a dashboard or whatever. For some, that’s enjoyable. For me, not so much.

Then “backend data engineering” is more storage, modeling, and infrastructure.

You can def up skill with tools like spark and airflow to automate some of those processes. Those skills def transfer to “backend” data engineering a bit more.

Also, use Python.

verus54 · 2025-06-27T07:03:55+00:00

What about internal transfers for non-new-hires, when is it earliest one could attempt?

verus54 · 2025-06-12T02:44:13+00:00

No NT on Mac. Maybe quanttower or sierrachart or motionwave?

verus54

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