u/SadNose6889

Saw a full bear breakdown this week from one of the bigger short-side accounts and figured it's worth chewing on here - the thinking is more interesting than the price target.

The short version of his thesis:

• Short since 120k, added more around 80.5k, with orders still waiting at 83-85k
• We're in "stage 4" of his framework - the boring, sideways, everyone's-exhausted phase right before real capitulation
• The actual panic only kicks in if we lose 60k
• Final target: 40-50k, somewhere around Sept-Oct
• His rule right now is basically "do nothing, hold, let the orders fill if price comes to me"

What I respect about it: the discipline. He's not chasing, not flipping every time X gets loud, not FOMOing into shorts below 80k because he knows that's the messy zone. That part's real whether or not the call lands.

What I'd push back on: the certainty. "Final bottom 40-50k, Sept-October" is awfully precise for a market that's humbled everyone who's ever been that specific. He even says markets never move in straight lines then hands you a straight line. Bear maps always look clean in hindsight and never run on schedule.

And the thing nobody in these threads says out loud: being right about direction and surviving the path are two different skills. Plenty of people were "right" that Oct 10 would recover and still got wiped in the 3 seconds it took to get there. A perfect short thesis doesn't help if a relief rally to 90k closes you out before the drop you called.

So do you buy the 40-50k by fall? Or is this another confident roadmap the market's about to ignore? Curious where this sub lands.

Not financial advice, just chewing on someone else's homework.

I've been building an app with Claude as my coding helper. Yesterday it broke - users couldn't see their data. I asked Claude to fix it.

Claude saw "too many requests" errors in the logs and decided that was the problem. It made 4 different fixes. Each one shipped cleanly. None of them actually fixed the bug.

The real issue was something completely different - a library we use changed how it labels stuff, and our app was still reading the old labels. So every piece of data came back blank. My teammate found it in 30 minutes by literally printing out one piece of data and going "wait, why is this empty?"

When I asked Claude later why it missed this, the honest answer was: it locked onto the first thing that looked like a cause and never questioned it. It never did the simplest check - look at one piece of the data first and ask "does this even make sense?"

The lesson: AI is really good at solving problems you point it at. It's bad at picking which problem to look at. If I had said "first check if the data even looks right before assuming it's a network issue," it would have caught the bug fast.

My new rule for any "stuff isn't showing up" bug: look at ONE piece of the broken data first. Then start guessing.

TL;DR: AI will fix the wrong thing very efficiently if you don't tell it what to verify first.

Quick one that reframed how I think about risk.

Lose 10% → you need +11% to break even.
Lose 20% → you need +25%.
Lose 50% → you need +100%.
Lose 80% → you need +400%.

The recovery cost isn't linear, it explodes. This is why "I'll just make it back" is a trap — the deeper you're in, the more impossible the climb.

The math behind it: your actual long-term return isn't the average of your returns, it's the geometric mean and volatility eats it. A strategy that's +50% then −50% doesn't break even, it's down 25%. Two big swings that "cancel out" still bleed you.

Practical takeaway: protecting against the big drawdown matters more than catching the big winner. A smaller, survivable position that compounds beats a huge one that needs a miracle to recover.

Anyone size positions specifically around this (vol-targeting, fractional Kelly)? Curious what actually works in practice vs. theory.

What are some prompts that can make your code that you built with claude code safer better faster?

I’ve been thinking about a different leverage design and wanted to get feedback from people here.

Most leverage systems liquidate you when price hits a certain level. That makes sense for protecting lenders/LPs, but it also means traders can be right on direction and still get wiped out by one wick.

The idea is:

You choose the asset: BTC, ETH, or SOL
You choose the duration: 1 day, 3 days, 7 days, 14 days, or 30 days
You choose leverage
The higher the leverage, the shorter the max duration
Instead of getting liquidated at a price level, the position runs until you close it or the time expires

So the risk is still real. If the trade goes badly, your collateral can still be lost. But the difference is that one wick does not automatically close the trade before the chosen time window ends.

This would probably only make sense for very liquid assets like BTC, ETH, and SOL because they are volatile enough for traders but deep enough to manage risk.

Risks / open questions:

How should LPs be protected during extreme moves?
Should max leverage change based on volatility?
Should the system pause new positions if everyone is on the same side?
Would this be better than perps for swing trades, or just a different risk model?
Does removing price liquidation create new problems somewhere else?

Curious what people think. Is time-based leverage a useful DeFi primitive, or does price-based liquidation still make more sense?

Welcome.

This is a community for traders building real skill on the majors.

We study the charts. We bust the myths. We laugh at the wicks.

---

**What we trade and discuss**

- SOL, BTC, ETH and other crypto assets

- Tokenized stocks: SPYx, QQQx, GOOGLx, NVDAx, TSLAx, MSTRx, CRCLx and etc

- Strategy, leverage, agentic presets, DCA, technical analysis

**What you'll find here**

- Strategy discussions and chart breakdowns

- Agentic trading presets and bot logic

- DCA approaches across volatile markets

- Myth-busting on common trading nonsense

- Trading memes — the craft is painful enough to laugh about

**What we don't tolerate**

- Memecoin shilling

- Guaranteed-return claims

- Referral spam or airdrop farming

- Hidden affiliations (disclose if you work on what you're discussing)

---

**Drop a comment below and tell us:**

1. What kind of trader are you? (Learner, leverage user, agentic preset builder, DCA-er, or refugee from a bad liquidation)

2. What's your worst ghost candle story?

3. What do you want this community to be?

We're early. The first 100 of you shape what this place becomes.

Welcome.

I feel like Opus 4.6 is better at coding and everyday tasks than Opus 4.7.
More efficient less mistakes better answers and better writing skills.

Who feels the same?

Been thinking about this lately. Funding fees, price-based liquidations, the same perp model on every exchange. It feels like not too much really changed in years.

A few things I'm curious about:

AI agents are clearly going to be a big part of trading, but I want to hear your opinions on this.

Will it be presets where you just pick a strategy and let it run?
Full custom agents you train yourself?
Copy-trading other people's agents? Or something else entirely.
What do you actually want from this and what would you never trust an agent to do?

Also curious about leverage mechanics. We've had the same liquidation model for years now. Do you think we'll see new approaches - like trades that just expire after a fixed time instead of getting liquidated when price hits a line? Or are funding fees and liquidations basically fine as is?

What else changes in the next 5 years? Genuinely interested in what people actually want vs what's getting built.

I have been using both since the launch of 4.7 and i'm having a hard time finding what 4.7 actually does better for my workflow.

for context i use claude mostly for product/comms work and some design and of course coding. Built a ninja-themed card system which looked great with opus 4.6

4.6 is honestly good at cleaner writing, more precise word choice. When i asked for short messages it gave me short messages. mockups looked good on several tries.

4.7 with adaptive thinking on feels different. responses are longer. sometimes wordier. the writing isn't bad but it doesn't feel as tight. and adaptive thinking didn't do much for me.

i know the benchmarks say 4.7 is a big jump on coding and long agentic tasks, and i believe that. but for the day-to-day of "help me write this telegram message" or "draft a quick onboarding doc" or "make me a card mockup" "or "fixing a bug or adding a feture using claude code" - i genuinely can't tell what 4.7 unlocks that 4.6 didn't already do well.

so questions for the community:

* what have you actually found 4.7 + adaptive thinking better at? real examples not benchmark numbers.

* do you keep adaptive thinking on for everything or toggle it off for certain tasks?

* anyone else feel 4.6 was tighter for writing/communications work?

* if you switched to 4.7 and stayed there, what made you stay?

I have been thinking about this and want honest answers from people who actually trade.

if you zoom out, long term holding usually beats most active traders. the stats are pretty brutal. so why do you do it instead?

not trying to judge, genuinely curious.
- is it the money or is there something about the process itself that you'd miss if you stopped? - how many hours a week do you actually put into it including research and screen time? - have any of you tried just holding for a stretch and what pulled you back?

for the profitable ones, what was the thing that flipped you from losing to winning?