Credit Spreads vs Naked Options. What made you choose one over the other?

I've been reevaluating my options strategy recently and wanted to hear from people who have actually traded both credit spreads and naked options over a meaningful period of time, especially during periods of volatility.

From what I understand, credit spreads seem appealing because they're a defined-risk strategy. You know your maximum loss before entering the trade, buying power requirements are lower, and it's generally easier to avoid catastrophic losses from one bad trade. The downside, of course, is that your profits are capped, and depending on the width of the spread, commissions and slippage can take a bigger bite out of returns.

On the flip side, naked options collect more premium, give you greater flexibility when managing positions, and don't have a long leg eating into your credit. But the trade-off is obvious: risk can become substantial if the market makes a large move, and margin requirements can increase significantly.

Both approaches still have capped maximum profit so I’m less interested in which one produces the larger initial credit and more interested in the risk-adjusted results.

For those of you who have experience with both, which do you primarily use now, and what ultimately drove that decision - account size, buying-power efficiency, easier management, or performance during drawdowns?

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u/LoneNemesis_ — 15 hours ago

Why I switched from SPX to SPY for 0DTE

I’ve traded both SPX and SPY 0DTE. After testing SPX, I decided SPY was a better fit for the drawdown and consistency limits on my Vanquish options eval account.

SPX isn’t a bad product. Personally, I find its larger sizing increments less forgiving.

This is the first thing people miss. 1 SPX contract is roughly equal to 10 SPY contracts in terms of notional value. So when you're sizing up on SPX thinking you're being efficient you're actually taking on 10x the exposure per contract.

For a funded eval with drawdown limits, that's a problem. One bad SPX trade hits your account significantly harder than the equivalent SPY trade. SPY gives you more control over exactly how much you're risking per trade.

The SPX loss that made me reconsider my sizing

The screenshots are from different trading sessions, so they aren’t a like-for-like SPY versus SPX comparison.

The SPY screenshot shows a 30-contract trade that made $1,290. The SPX trade lost $2,860.50. I’m not sharing them to suggest that SPY trades win and SPX trades lose. The outcome still comes down to the setup and trade management.

What the SPX loss showed me was how quickly one position could consume a meaningful part of my eval account’s drawdown allowance. Even though the SPY screenshot shows more contracts, SPY lets me change my total exposure in smaller increments. That flexibility matters more to me than the number of contracts shown on the ticket.

Why SPY fits my eval account better

In a funded options evaluation, I’m not only trying to make money. I also have to protect the drawdown limit and avoid letting one oversized day determine the account.

SPY makes it easier for me to:

• Size positions more precisely

• Reduce exposure without exiting everything

• Scale in or out gradually

• Keep a single 0DTE trade from dominating my account

SPX still has advantages. It is cash-settled, uses European-style exercise and doesn’t carry early-assignment risk. For traders who are comfortable with the larger contract size, it can make sense.

For my Vanquish eval account, however, SPY gives me the finer risk control I need.That’s ultimately why I switched.

Which one do you prefer - SPY or SPX?

u/LoneNemesis_ — 11 days ago

Why 10am to 11am became my cleanest window in options eval account

Nobody talks about this hour. Everyone's obsessed with the open. First candle, gap fill, first move. I get it. The 9:30 open has volume and opportunity.

But in a funded options eval, the open can also be where the account gets damaged fast. One bad entry at 9:35 can burn premium, hit daily drawdown, and put you in recovery mode before the cleaner setups even show up.

That’s why 10 am to 11am became my cleanest window. By then, the first 30 minutes have already shown something. The opening range is formed. The fake first move has usually happened. The early FOMO traders are either stopped out or stuck managing a bad entry.

What this chart shows

Entered at the 9/21 EMA. Both EMAs were stacked and pointing up. Price pulled back, held the level, and continued. That matters more to me than trying to guess the first candle at 9:30.
TP hit in under 10 minutes.

The entry wasn’t perfect, but the timing was cleaner. The EMAs had settled into a direction, price had structure and I wasn't trading the opening chop.
Same entry at 9:35 looks completely different.

Wicks everywhere, EMAs crossed and tangled, no real conviction. You can be right in direction and still get stopped out because the market has not settled yet.

This matters even more with a funded options account. Direction alone isn’t enough. Timing matters because theta, spread, chop, and daily drawdown all punish bad entries fast.

Why most traders miss this window

They're already in a bad trade from the open managing losses. Or they got stopped out early and are mentally done with the session. Or they think the "real move" only happens at the open and anything after is scraps.

But when i checked my journal, a lot of my better trades were not from the open. They were after the open settled.

Simple version

9:30 the market is figuring itself out. 10am is when I would rather trade what the market already showed me.

For me, the filter is simple:
• Wait for the first 30 mins.
• Let the opening range form
• Look for 9/21 EMA alignment
• Take the clean pullback, not the emotional first move

That one timing shift helped me avoid a lot of unnecessary early drawdown in eval accounts.

What time do your actual winning trades happen?

u/LoneNemesis_ — 1 month ago

Why do LeetCode solutions always seem obvious AFTER I see them? (Codeintuition, NeetCode, AlgoMonster users)

I'm a 4th year B.Tech CSE student, and honestly, I feel like I'm a bit late to DSA compared to many of my peers.

Lately, I have been taking interview prep seriously, but I keep running into the same issue.

I'll spend 30–40 minutes on a LeetCode problem, get stuck, check the solution, and then think:

Wait... that makes complete sense. How did I not see that!

The frustrating part is that after solving a few similar questions, I start feeling confident again. Then a new problem shows up and I'm completely lost.

I have seen people recommend Codeintuition, NeetCode, AlgoMonster, and other pattern-based resources, while others say the only way is to keep grinding LeetCode.

For me, the problem isn't understanding solutions after I see them.

It's recognizing the pattern before I see the solution.

For those who've been in a similar situation:

•What helped pattern recognition finally click for you?
•Or was it simply solving a large number of problems?
•If you could restart your DSA journey today, what would you do differently?

I'd genuinely appreciate any advice, especially from people who started late and still managed to catch up for internships or placements.

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u/LoneNemesis_ — 2 months ago

Must read for people into Politics, Philosophy!

The price of freedom is the ability to think independently when everyone else is repeating the same slogan!
-M.Meerloo

One thing this book makes you realize is how easily opinions can be shaped by repetition, fear, and social pressure. It forces you to question whether your thoughts are truly your own or simply borrowed from the world around you. One of my finest read till now.

u/LoneNemesis_ — 2 months ago

Beyond investing, what crypto product do you actually use regularly?

Feels like most of us spend more time discussing prices than actual products.

What crypto product do you genuinely use on a weekly basis, and what keeps you coming back to it?

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u/LoneNemesis_ — 2 months ago

52 kg → 69 kg | 4.5years progress | 21M | 5’7 🏃🏻‍♂️

I usually don’t post much, but I felt like sharing this one. This is me from 2021 to 2026

The first photo is from a time when I was genuinely insecure about how I looked. I was skinny, had zero confidence in my physique, and always thought everyone around me looked better than me.

Diet 🍳
Nothing crazy.
Whey protein
Creatine
4 eggs daily
Beetroot juice
Multivitamin
3–4L water
200g boiled chicken on alternate days
Most of my meals came from my college mess. I also added eggs, chicken, sprouts, and chana whenever possible. I wasn’t obsessed with eating “clean” or following a fancy diet…I just tried to get enough protein consistently.

Training 🏋️
Advanced Push-Pull-Legs split.

The biggest thing that helped wasn’t a supplement, workout program, or some secret trick.
It was consistency.

People massively underestimate what can happen when you train seriously for years instead of weeks.
Progress is slower than you want, but faster than you think.

Happy to answer any questions about training, diet, supplements, or the journey. 💪

u/LoneNemesis_ — 2 months ago

Why don’t more Indian students publish research papers? 🇮🇳

I’ve been wondering about this for a while.
We’re told to grind DSA, build projects, collect certificates, and chase internships..but almost nobody talks about research.

Not because students aren’t capable, but because most of us simply don’t know where to begin.
A few months ago, I was in the same boat.

Recently, I started interning at a company and I’m also working on publishing my own research paper and soon i will have my first research paper.

The reason I’m sharing this is simple..if someone had told me about these opportunities earlier, I would’ve started much sooner.
A research paper can help you:
📄 Stand out from thousands of similar resumes
🌍 Build a stronger profile for foreign universities
🎓 Strengthen scholarship and higher-study applications
💼 Add credibility to internships and placement interviews
🏆 Gain academic recognition and showcase your work publicly
🤝 Connect with mentors and like-minded researchers

Those who want to start or want to publish their first research paper…Dm me!

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u/LoneNemesis_ — 2 months ago

Munsiyari , Khaliya Top done🏔️

Returned back from this 4-5 days trekk…had one of my best moments of life there…This was my 5th trekk. I have completed Laka Glaciers, Triund Top , Chopta Chandrashilla , China Peak trekks already.
Looking forward to conqurer more trekks.
I remember doing meditation at the fucking Top…got into flow state , witnessing the Panchachuli Himalayan range. Met wonderful people there , learnt new things. Also met these little cuties , gave them chocolates and that smile was worth everything . Temperature there was around 1-2 degree and now i am back to Delhi’s peak heatwaves again😭
Signing off.

u/LoneNemesis_ — 3 months ago