ETHEUR
Ethereum / Euro
crypto Composite

*You lost money trading but ETH price increase compensated, so you are net positive in USD value

**ALL HAIL THE ETERNAL CRAB**
📈 📉 📈 🌊 📈 📉 📈
📉 🌌 📉 📈 📉 🌌 📉
📈 📉 📈 🐋 📈 📉 📈
🌊 📈 🐋 🦀 🐋 📈 🌊
📈 📉 📈 🐋 📈 📉 📈
📉 🌌 📉 📈 📉 🌌 📉
📈 📉 📈 🌊 📈 📉 📈
**$1000--------$2448--------$5000**
**2021----------2026----------∞**
*Volatility, ETH's entire personality.*

Maybe take a look at ETH/UZH quant finance master admissions tests first and then rethink your idea: [https://www.msfinance.uzh.ch/dam/jcr:ca7ec1e1-7baa-4cda-8e23-39d0105d39a2/SelfAssessment\_2023\_1Nov.pdf](https://www.msfinance.uzh.ch/dam/jcr:ca7ec1e1-7baa-4cda-8e23-39d0105d39a2/SelfAssessment_2023_1Nov.pdf)
I did not make it into this program, it is competitive and normally targeted at math bachelor students. Regarding your profile: no one will care about CFA L1, and from my understanding you also do not have any knowledge in coding or actual trading. Not saying that its impossible, but you would give a recruiter zero reason right now why he should invite you and not someone with a more targeted profile. You do not even show intrinsic motivation apart from money probably.

I come from an Econ background, did a Quant Finance master afterwards and am working at a small hedge fund as a quant trader currently. I also did not bring a maths bachelor, but traded for a long time during university, had a track record in quant research papers and PnL, and launched my own quant trading firm during university with two friends where we made very decent money (decent money from a student perspective, between 7-15k p.m. net per person).

When almost every body is advising the same thing its my hint to lighten up my position agianst that advice .
Caveat that was me …( tested during the 2009-2018 , cryto , meme stock bull run )
I started divesting to foreign bond funds (ex bnd, bndx , sgov) and commodities ( ex slv iau)… pero research ka din po kung ok sayo at comfortable ka sa ganito mixed portfolio.
Maintain a very little allocation to BTC and ETH, (5-10%) . Warning Im just speculating pero never to go all in .
Still maintaining a philippine index fund to my portfolio once in a while pag ng dip , ng aad ako . Di naman negative average ko pero I admit na mas maganda ok pa yield ng MP2 sa current PSE portfolio ko.
Finally madami maganda advice sa reddit group na to pero I suggest to verify pa rin po ng mga advice at the end of the day your risking your hard earned money for every investment you made.

Buy more ETH then simple

Thanks for the honest response. I wanted to ask specifically about ETH/UZH.
If I spend the next year rigorously self-studying the required math through MIT OpenCourseWare — multivariable calculus, linear algebra, probability, statistics, real analysis, etc. — would that make me a plausible applicant?
Or do I realistically need formal university math credits on my transcript, regardless of my actual knowledge?
My profile is Accounting & Finance + CFA Level 1, and I'd also be building my Python/C++ skills and quantitative projects.
ETH/UZH particularly interests me because of its reputation and affordability. Would you consider it a realistic target from my position?

Could anyone spare 0.0009 ETH for gas?

Thoughts on Liquidity: BTC & ETH 📉🔻

You know what else is really weird about this ? All other crypto is moving lock step with BTC. ETH is moving identically with BTC for instance. That never ever happens.

Hi everyone,
I'm looking for some brutally honest advice about getting into quantitative finance.
My background is probably quite different from the typical quant candidate.
I'm currently doing a BS in Accounting & Finance and I recently passed CFA Level 1. My finance/accounting fundamentals are reasonably strong.
However, my mathematics/programming background is nowhere near what I understand is expected for quant.
At the moment, I have limited exposure to:
Linear algebra
Calculus beyond the basics
Probability/statistics at a rigorous level
Python
Algorithms/data structures
Machine learning
Stochastic calculus
Numerical methods
I'm graduating in 2027, so I still have time to seriously work on these areas.
My long-term goal is to move into quantitative research/trading, and eventually become competitive for firms such as Jane Street, Citadel/Citadel Securities, HRT, Two Sigma, D.E. Shaw, Jump, Optiver, etc.
I realize that simply getting a Master's in "Quantitative Finance" doesn't magically make someone a quant. I'm trying to understand what I would actually need to do to make this transition.
The academic path is where I'm particularly confused.
I've been researching quantitative Master's programs in the US, UK and Europe, including:
US
Carnegie Mellon MSCF
Berkeley MFE
Princeton
Columbia
NYU
MIT-related quantitative programs
UK/Europe
Oxford MSc Mathematical & Computational Finance
Cambridge Part III / quantitative mathematics routes
Imperial MSc Mathematics & Finance
ETH Zurich / University of Zurich MSc in Quantitative Finance
EPFL
LSE
UCL
I'm particularly interested in ETH/UZH's MSc in Quantitative Finance.
One of the biggest reasons is that, compared with many equivalent programs in the US/UK, the tuition is extremely affordable, especially for someone coming from Pakistan. At the same time, it appears to have a very strong reputation in quantitative finance and access to the Swiss/European financial industry.
So I'm wondering whether ETH/UZH could potentially be a realistic "target" for someone like me if I spend the next 1–2 years fixing my mathematical and programming deficiencies.
My questions:
1. Is this transition realistically possible from an Accounting & Finance undergraduate degree?
Or am I already too far behind compared with candidates coming from mathematics, physics, CS, engineering, etc.?
I'm particularly interested in hearing from people who have made a similar transition.
2. How realistic is ETH/UZH for my background?
What would I need to demonstrate to compensate for coming from Accounting & Finance?
Would I essentially need to reach the mathematical level of a mathematics/engineering undergraduate before applying?
If anyone has experience with the ETH/UZH MSc Quantitative Finance admissions process, I'd especially appreciate your perspective.
3. What other universities should I target?
I'd like to create a realistic list of:
Dream schools
Target schools
Safer options
Ideally, these would be universities with strong pipelines into firms such as Jane Street, Citadel, HRT, Two Sigma, D.E. Shaw, Jump, Optiver, etc.
I'm particularly interested in Europe because of the cost, but I'm open to the US/UK if there are funding/scholarship opportunities.
4. How strong does my math background need to be BEFORE applying?
Should I aim to learn:
Single-variable calculus
Multivariable calculus
Linear algebra
Probability
Mathematical statistics
Differential equations
Real analysis
Numerical methods
Optimization
And more importantly, how deeply should I learn each?
I'm not interested in just collecting certificates. I want to actually reach the required mathematical level.
5. How much programming should I learn?
Would this be a reasonable starting path?
Python → NumPy → Pandas → SciPy → Statsmodels → Scikit-learn
Then:
Algorithms & Data Structures → C++ → more advanced quantitative programming
Or should I already know C++ before applying to Master's programs?
6. Would CFA Level 1 actually help?
I know CFA isn't a quant qualification, but I've already passed Level 1.
Does having CFA Level 1 provide any meaningful advantage for a quant Master's application given that my undergraduate degree is Accounting & Finance?
Or is it essentially irrelevant compared with mathematics/programming ability?
What I'm thinking of doing over the next 12–18 months
I'm considering essentially rebuilding my academic profile around quantitative subjects:
BS Accounting & Finance
CFA Level 1
Calculus
Linear Algebra
Probability
Statistics
Python
C++
Algorithms/Data Structures
Machine Learning
Quantitative Finance
Quant projects/research
Potential research/internship experience
I'd also like to build several serious projects rather than just completing online courses.
For example:
Portfolio optimization
Factor investing
Statistical arbitrage
Time-series forecasting
Monte Carlo simulations
Options pricing / Black-Scholes
Risk modelling
Algorithmic trading/backtesting
My biggest question:
If you were in my position — Accounting & Finance undergraduate, CFA Level 1 passed, graduating in 2027, but currently weak in higher-level mathematics and programming — what would you do over the next 12–18 months?
Would you:
Focus almost entirely on mathematics?
Prioritize programming?
Take university-level math courses?
Try to obtain research experience?
Build quant projects?
Prepare specifically for ETH/UZH?
Apply broadly to quantitative Master's programs?
And ultimately, is the path of
Accounting & Finance → build mathematical/programming foundation → top quantitative Master's → quant internship → quant research/trading
actually realistic?
I'm not expecting to become a Jane Street quant immediately.
My goal is to first become academically strong enough to get into a top quantitative Master's, preferably somewhere like ETH/UZH because of its combination of reputation and affordability, and then use that environment to compete for elite quant internships/jobs.
I'd really appreciate advice from people who:
Went from a non-STEM background into quant
Applied to ETH/UZH or similar programs
Attended a top MFE/Quant Finance program
Work/worked at a prop trading firm or hedge fund
Recruit for quantitative roles
Have made a similar academic transition
Please be brutally honest. If my current background makes this unrealistic, I'd rather know now. If it's possible, I'd love to know exactly what I need to do to make myself competitive.

Ok Im convinced we go only upnfrom here, just longed my whole mortgage on ETH lets go!

I’m buying $ORBS not only because they have a stake in OpenAI’s upcoming IPO, which is expected to be valued at over $40 billion, but also because they own $ETH. Additionally, their institutional investors include $ARK and $BMNR.
https://preview.redd.it/gozt7uwhohnh1.jpg?width=3584&format=pjpg&auto=webp&s=95d05e07d35423fcf6a884661ee8ac6fbcc942ce

no loss, if it's up more WETH, if down more cbBTC. If you also wait to sell ETH when 2500 and not 1500 then more profit.

Been building a spot-only crypto tool over the last while — scores trend, volume, momentum, structure, and risk/reward independently across multiple timeframes, then rolls them into a composite Buy/Wait call with a stop-loss/take-profit/risk-reward ratio attached. The part I care most about: a symbol only goes live for scoring once its strategy has actually cleared a historical backtest with a real profit factor and positive expectancy — right now that's ETH and SOL, the others show live support/resistance structure but intentionally don't have a verdict yet since they haven't cleared that bar.
[signaltrade.co](https://signaltrade.co) if anyone wants to poke at it — genuinely curious what people here think of the backtest-gating approach, or if there's an obvious flaw in the scoring methodology I'm not seeing.

99% of Reddit are broke as fuck, the rest don’t know where the short term price of any crypto is going, nobody does
You’re not “new to day trading” you’re a noob and if you try to trade you will lose money
Buy and hold BTC, ETH, SOL with a small amount of money and then start trying to learn, watch YouTube, read Twitter, after 100 hours you might know something, you might not
GL

My 2 cents about the evaluation:
The 3% max daily loss which is in all plans makes it very difficult to take risks high enough to make significant gains to pass the 9-12% profit requirement. You make 1% gain. You take 1% loss. Stop-loss limits have to be very low. That way you can get drained by fees quickly if it keeps dropping and you are trying to catch the falling knife.
Sure it's easy when only way is up like it did couple weeks ago when we had the ETH pop from 1900 to 2500.
My highest with the 5000 plan (I took the 90/10 split) with the 5450 profit target was 5334.30.
Then it started dropping and I soon found myself under 5000. It looked better for a short while but then we had the resuming of US bombing in Iran. Eventually I was little under 9 dollars from the 4850 max drowndown limit and final trade got me under the limit. Basically you are already done at under 4900 unless you get very lucky.
My advice is if you are going to do it, pay the extra to get 6% drawdown limit in Starter plan.

My 2 cents about the evaluation:
The 3% max daily loss which is in all plans makes it very difficult to take risks high enough to make significant gains to pass the 9-12% profit requirement. You make 1% gain. You take 1% loss. Stop-loss limits have to be very low. That way you can get drained by fees quickly if it keeps dropping and you are trying to catch the falling knife.
Sure it's easy when only way is up like it did couple weeks ago when we had the ETH pop from 1900 to 2500.
My highest with the 5000 plan (I took the 90/10 split) with the 5450 profit target was 5334.30.
Then it started dropping and I soon found myself under 5000. It looked better for a short while but then we had the resuming of US bombing in Iran. Eventually I was little under 9 dollars from the 4850 max drowndown limit and final trade got me under the limit. Basically you are already done at under 4900 unless you get very lucky.
My advice is if you are going to do it, pay the extra to get 6% drawdown limit in Starter plan.

I don't see ETH not becoming absolutely huge in the future, so IMO yes (NFA). DCA is never a bad idea.

I'm sorry you fell for this, but crypto *per se* isn't the issue.
If you stack sats in a cold wallet, and stake your ETH natively or with a decentralised staking protocol such as RocketPool, there's no way for you to be scammed or hacked.
Not exactly sure what happened to you, but he must have gotten ahold of your seed phrase somehow. With ETH and similar chains, it's also possible to approve a malicious smart contract that can drain your funds without ever knowing your private keys.
Also, Trust Wallet is not to be trusted. The best hot wallets are BlueWallet (for BTC) and MetaMask (for ETH/SOL).

Got shadowbanned again for aggressive bullposting.. I think it's time for a digital detox, twitter is melting my last neurons too.
I created this account when we dipped below 18xx to bullpost (a form of therapy) the bottom with the boyyyz and I think I did.. to be fair I was bullish at the top too but who cares!
Hodling ETH has been rough I have to admit but I still think it's the cleanest macro trade out there. IMHO Ethereum is just what Bitcoin was supposed to be. It's not a rent-seeking business, the fees only compensate inflation hence solving the security budget problem bitcoin will suffer from sooner or later. When privacy is recovered ETH will be the superior form of money.
The top is in when Vitalik (ft Satoshi?) get the Turing award and the Nobel prize of economy - shout out to the wonderful mods and the mavs - 20k is FUD
checking out