
Crypto/Commods Trader 🪙🌽⛽🌾🛢️ | 🛠️@felixprotocol
NYC
Joined March 2025
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Valatility retweeted
dating a founder is the modern equivalent of waiting for your husband to come back from war
Valatility retweeted
"Crypto has Fundamentals: A Seven-Factor Model for Digital Asset Returns" papers.ssrn.com/sol3/papers.…
Valatility retweeted
Selling vol has two awesome features:
1. You start from a well-defined edge
2. You don't have to be smart to do it
Being smart is actually counter-productive.
The more intelligent you are, the more you can fool yourself. You might think that your discretion adds value. That you can manage complexity. That you can cleverly avoid drawdowns.
Start from the assumption that you don't know anything, except:
1. The variance risk premium exists
2. The only way to harvest it, is systematically
So you need consistency, simplicity, and risk tolerance.
Consistency because volatility trades are individually volatile. You need a large enough sample to beat randomness.
Simplicity because your system needs to be measurable. For every decision rule, think about whether it complicates the feedback loop.
Risk tolerance because you need to handle drawdowns. They're inevitable. Position size accordingly. Don't overwrite the rules to try to prevent a drawdown. Don't rewrite the rules every time a drawdown happens.
If you start treat volatility selling with humility and discipline, you will inevitably make money.
Valatility retweeted
this market should exist
but it doesn't
all the financial innovation in the world, and you cannot bet on national Corn Yields directly 🌽
first person that gets this done changes the industry forever
Valatility retweeted
🆕 NEW HIP-3 TICKER 🆕
The ticker $BTC has been bought for 2,097.47 $HYPE or $54,680 by @felixprotocol
Valatility retweeted
You know where my focus is, but other HIP-3 projects could also become interesting.
I’m keeping an eye on @felixprotocol.
That said, liquidity will be one of the most important factors for success in this TradFi perps era.
Listing a multitude of illiquid markets won’t be enough.
interesting things happening. feels commodity twitter and crypto twitter have been siloed spheres for long enough. hoping to merge these worlds with more commodity perp launches via @felixprotocol
incoming perps:
>copper
>natgas
>uranium
>soybean meal
>corn
>palladium
and more
what else are commodity perp traders seeking?
Valatility retweeted
Hyperliquid Tops the World in Revenue per Employee
Crypto platform @HyperliquidX is now the most profitable company globally by revenue per employee, generating an incredible $102.4 million per worker. It has outpaced industry giants like Tether and OnlyFans.
Hyperliquid is a rare example of a lean team generating massive earnings. It highlights how crypto companies can operate with high efficiency and sustainably earn revenue from products that users find genuinely valuable.
Valatility retweeted
talked to a guy who's been trading 23 years and manages $40M
asked him what separates traders who survive from traders who blow up
his answer surprised me
it wasn't strategy. it wasn't discipline. it wasn't psychology.
"bet sizing. that's it. that's the whole game."
here's what he explained:
THE THESIS:
"I've seen hundreds of traders come through. good ones. smart ones. talented ones."
"90% of the ones who blew up didn't blow up from bad trades. they blew up from bad sizing on normal trades."
"a 1R loss at proper size is nothing. a 1R loss at 10x proper size is account death."
THE EXAMPLES:
he walked me through case studies:
TRADER A:
- excellent strategy, 58% WR
- consistently profitable for 2 years
- had a "high conviction" trade
- sized up 5x normal position
- trade lost
- drawdown was 23% instead of 5%
- psychology cracked
- revenge traded the next week
- blew the account in 8 days
"he didn't blow up from a bad trade. he blew up from a big trade."
TRADER B:
- mediocre strategy, 51% WR
- survived for 11 years
- never sized above 0.8% per trade
- took the same size on every trade
- no "high conviction" sizing
- compounded slowly but never blew up
"he's worth $4M now. started with $50k. just never killed himself with size."
THE RULE:
"every trader who blows up violates the same rule"
"they size based on CONVICTION instead of MATH"
"'this one feels right' so they go bigger"
"'I'm on a winning streak' so they go bigger"
"'I need to make it back' so they go bigger"
"conviction is how you justify stupid sizing"
THE DATA:
he showed me internal research:
traders who sized based on conviction:
- average survival time: 2.4 years
- account explosion rate: 74%
traders who sized mathematically (same size every trade):
- average survival time: 8.3 years
- account explosion rate: 12%
"it's not even close. variable sizing kills traders."
THE MATH:
he broke down why "high conviction" sizing is stupid:
"let's say you're 60% accurate on normal trades"
"let's say you're 70% accurate on 'high conviction' trades"
"sounds good right? go bigger on the 70% trades?"
"wrong. here's why:"
"at 60% accuracy with 1% risk, a 4-loss streak costs you 4%"
"at 70% accuracy with 5% risk, a 4-loss streak costs you 20%"
"and 4-loss streaks happen even at 70% accuracy"
"you FEEL more confident but the math doesn't justify the size increase"
THE SOLUTION:
"how do you size then?"
"same size every trade. no exceptions."
"what about when you're really confident?"
"same size. confidence isn't accuracy."
"what about when the setup is perfect?"
"same size. perfect setups lose 40% of the time."
"what about when you're on a winning streak?"
"same size. streaks end."
"every trade gets the same respect. the 'boring' ones and the 'perfect' ones."
THE IMPLEMENTATION:
his rules for position sizing:
1. calculate your base risk (0.5-2% depending on account size and edge)
2. that's your risk on EVERY trade
3. never size up. ever.
4. if you want more money, scale accounts/capital. don't scale risk.
"I've been trading 23 years. I've never taken a trade above 2% risk. not once."
"my biggest winners and my 'meh' trades got the same size"
"I'm not trying to hit home runs. I'm trying to not strike out."
THE TRUTH:
retail traders think they need big trades to make big money
professionals know big trades make big losses
the traders managing real money all size conservatively
they make money through VOLUME of good trades not SIZE of individual trades
if you're varying your position size based on "conviction":
you're already on the path to blowing up
it's just a matter of when
same size
every trade
no exceptions
that's how you survive
Valatility retweeted
🖐🏻 Five Charts In Five Minutes - The Return! 👀
Five charts that make us go "hmm, that's interesting 🤔"
blog.grainstats.com/p/five-c…
Valatility retweeted
Valatility retweeted
Bitcoin has respected the short-term holder MVRV bands for the last several years, rarely breaking out above or down below the one standard deviation guardrails.
It broke below this past week.
Bottoms can take time to form, but this is the wrong time to be bearish.
These tend to be the buys that look great on any reasonable timeframe. $BTC
Valatility retweeted
$SPX is on track to Close negative today, after gapping up more than +1.4% at the Open.
This only happened 2 other times before:
April 2020 (after COVID crash)
April 2025 (after Liberation Day crash)
Valatility retweeted
Bitcoin $BTC the second-leg selloffs are repeating with remarkable symmetry.
The December to April decline saw the follow-through drop roughly twice the size of the first, a 32% slide after a 16% shakeout.
The August to November decline is showing the same behaviour, with the second leg down stretching to 29% after an initial 14% slide.
This is exhaustion, not trend collapse.
Even if price undercuts the recent low to print a bullish divergence, the distance below current levels is unlikely to be dramatic.
This market is far closer to a bottom than a breakdown from a technical point of view.
Valatility retweeted
The short-term holder supply in profit/loss ratio is the lowest it’s ever been in the history of bitcoin.
Valatility retweeted
Monthly BB bands on Bitcoin are the tightest ever in history and still no expansion in sight.
BTC NEVER had expansion on HTF and price went down.
Institutions bought in for billions in a cycle that's totally different? Expansion and price go to hell? Their models and hundreds of quants are all wrong?


































