ETHEUR
Ethereum / Euro
crypto Composite

Great result only 50 % down in 5 years ETH/BTC

I'm actually more qualified to talk about this than most redditors.I'm employed with a cyber-techno machinations company, I do a lot of security analyst programming type work. Open source, decentralized, APIs, partnerships, you name it. We'd be one of the first companies in line for something like Chainlink, if the decentralized smart contract space had more value over traditional data exchanges. There's a catch though, an underlying flaw more deeply embedded in the bedrock of LINK than the very code itself. The flaw is with the concept, and it's this: Companies won't actually go through the hassle of trusting their data API's through crypto.
Now I can already hear your keyboards going frantic, but hear me out. /r/cryptocurrency hates banks, and traditional data providers. But actual companies, businesses, and investors do not. There's an old saying you might have heard of: "If it ain't broke, don't fix it!". The idea that any of our bosses would give us the go ahead if we approached them to put our companies valuable data in a smart contract on a cryptocurrency called Chainlink, that they've never heard of, we'd be laughed out at best and fired on the spot at worst. We already have API data buyers and providers we trust.
'But Chainlink is trustless!' I hear you cry, but is that really a good thing? Just listen to the sound of it. Businesses don't want to spend millions of dollars on something that is trustLESS, they want something trustFUL. 'But the reputation system!', doesn't that defeat the whole point of your coin? If companies only trust nodes with high reputation, what's the difference between trusting banks and data providers that already have reputation, but in real life not on a computer screen.
The fact is, LINK is going to share the same fate as ETH will. A lot of 'real world application' hype, with a lot of 'crypto world application' reality. Only, this billion supply coin isn't going to come close to the $1k that Etherum hit.

Did you continue buying while it was down so low to lower your average cost??? When things go deep red and I know they will come back like ETH or BTC, xrp or Solana as examples, I will buy every leg down to lower my cost averaging.
Started buying when btc hit $68k and bought all the way down to $58k every red day even if it was just $20 I would buy. Got my average cost down to $62,240 that way.
Had you done this you’d almost certainly be in profit right now

All these staking numbers are impressive but the market just doing its own thing. Price is more about liquidity and speculation right now, not so much about network fundamentals. In few years when people realize how much ETH is locked up, could be a very different story.

The native token of blast is ETH. I think you don't understand the question.

Probably if Trump promise everyone 5k ETH if you vote for him…😆

ETh don’t have to use the latest and greatest. The computing issue for ETH has already been solved. It a decentralized structure where AI is centralized to one or two data centers. Instead of having a datacenter Indiana. It’s all over the world. Our computing problems have already been solved. Going decentralized you have to spread the wealth. People up top don’t like that idea

Holy crap, all those old projects are dying off and if you said this a few months ago, massive downvotes, but what will be left? BTC and ETH. Vechain still my biggest mistake but not because it's half dead if not dead, but I didn't sell at the top and panic sold it just before on pandemic day dive.

So I'm been listening American Kingpin audiobook about Ross Ulbricht. Great so far. Anyways it got me thinking about where crypto is headed.

I remember when I got into crypto in 2017, what really was exciting to me was some of the libertarian views that Ross had. I could move money with Bitcoin to a political cause that maybe my government didn't agree with, I could avoid being cut off from the banking system like they did to the Canadian Truckers, I could move money 24/7/365 even on a banking holiday.

The next evolution was my obsession with Ethereum, the same properties of Bitcoin but the ability to get loans, tokens, and more.

It's about being neutral and censorship resistant. The fact that Bitcoin and Ethereum are 1 and 2 by market cap, you can see the market values these properties.

The next evolution of this to me is censorship resistant ai compute. I have been an avid Claude user for a long time. Fable is the first model while very smart has so many guardrails. I think we are going to start to see a widening gap of open source models with no or little guardrails and closed source frontier models. Both will be smart but one will question or not do what you want and eventually could start reporting you.

Think models that can make a Harry Potter fan fic or other copy righted movie from a prompt. Claude, openai, google, aws, etc will not and cannot host these models. My wife just watched a 2.5 hour film of something similar from Ai.

While I think Ethereum will remain the default smart contract platform for coordination I am considering investment in the two most censorship resistant dePIN tokens that will be or could be shovels for decentralized ai compute. Arweave for storage and Akash for decentralized compute. Would love thoughts on this thesis, agreeing or disagreeing.

I bought a decent enough SOl when it was $5 each when I a similar thesis (just trying to understand where the market was going) that ETH fees were too high and slow and that L2s were not ready. Which I sold all around 100 to 150 to buy more ETH. That was a crypto trend, an ai trend could incorporate a lot more people and hype.

What ever happened to EOS? It surpassed the market cap of ETH (I think… it was at least in the top 5 or 10) and then I stopped paying attention to crypto for like 7 years

I do, granted it is for crypto (BTC and ETH) which are much more volatile so I use daily rather than weekly DCA. For stocks and ETFs I just have Edward Jones to a monthly.
I'm not a bot, much too old and crotchety, that doesn't mean OP isn't. There are those of us who DCA daily (also EJ won't touch crypto, so they told me to use my play money/gambling money for that).

Right now my rule-based regime tracker still has BTC, ETH and BNB in a sideways regime. I'd rather wait for an actual regime shift than assume a rally from a calendar pattern alone.

I think it’s less of what could go right but more of what has gone wrong being lifted e.g. macro conditions, global wars and uncertainty, AI taking up less of the oxygen, less hyper-gamification ect.
Ethereum is crushing it. ETH will catch up.

That makes sense... the sample-size penalty from explicit conditioning is a pretty strong tradeoff, especially across 87 strategies.
I like the distinction you're making between a legitimate regime transition and behaviour drifting within an otherwise similar state.
In the rule-based BTC/ETH/BNB system I've been working on, I've found it useful to keep regime detection separate from a few diagnostics like turnover, exposure and holding time. That way those metrics can act as an early warning that behaviour is changing inside a familiar regime, without forcing the whole reference set to be explicitly conditioned.
That seems quite close to the failure mode you're trying to isolate here.

>**Automated invoice,**
>**The request network envoys,**
>**Blockchain is a choice.**
~Daily haiku until we’re at least at 0.178 on the ETH/BTC ratio or highest market cap

This is also why I've become pretty skeptical of judging a strategy by aggregate backtest results alone.
One thing I've found particularly useful is separating performance by market regime. A rule set can look robust overall while most of its edge actually comes from one specific environment, then quietly gives it back when conditions change.
I've been taking that approach with a rule-based system on BTC/ETH/BNB, and regime specific behavior has been much more informative to me than trying to find another indicator that improves the headline win rate.
Really like that you published the rejects too. Those are probably more educational than the 10 survivors.

I'll help you recover you funds. Please just deposit 50 ETH into this address and I'll get back to you soon.

Oye147ae147ae147ae147ae147ae147ae147ae1472
/s

I kept fooling myself with backtests. You look at a chart where the future is already there, and you tell yourself "yeah I would've caught that move." You wouldn't have.
So I built a tool where you advance one candle at a time, no looking ahead — just like live trading.
\*\*What it does:\*\*
\- Real data: crypto (BTC, ETH, SOL, BNB, XRP), forex (EUR/USD, USD/JPY, GBP/USD, etc.) and gold
\- Random historical window, so you don't know what period you're in
\- Take trades with margin, leverage, TP/SL, limit orders
\- Draw trendlines, mark zones, add notes
\- Switch between 15m / 1h / 4h without losing your drawings or your place
\- At the end: win rate, profit factor, avg win/loss, liquidations
\- AI review of your trades that points out stuff like "you never set stop losses" or "you only go long
Would love feedback.
Link in comments.
Thanks.

HYPE's total cap is \~$90B vs. ETH's $300B. Let that sink in.
Facts:
* Last month, ETH burned about $5.7M, yet its total supply GREW by about $235M due to new staking issuance because of its infinite supply.
* Last month, HYPE burned $55M worth of tokens, which was removed from total supply due to a hard cap of 1B total HYPE tokens. ETH burn yesterday was literally $60k USD. New issuance was $8.1M USD.
* On average, Hyperliquid consistently makes about $2M per DAY, 99% of which is programatically bought back and burned by the protocol.
HYPE is up over 200% vs ETH this year alone. It will eventually flip ETH, mark my words.
Like, why the fuck is anyone actually holding ETH at this point? Honestly.

https://preview.redd.it/vp7ld6dhjfth1.png?width=1646&format=png&auto=webp&s=4cf517b20ff5f90affa02ed10b5d1bdd02c99d8d
I ran 30 common long-only strategies (RSI, MACD, EMA crosses, Supertrend, QQE, Donchian…) on 1h / 4h / 1d across 20 Binance majors, up to 5 years of data, with 0.1% fees + slippage on every trade, and judged them on the last 30% of data they'd never seen.
To count as real, a strategy also had to beat random entries with the same stop, target and holding time, not just "be green".
Out of 90 strategy/timeframe combos:
\- 2 held up
\- 8 borderline
\- 80 had no edge, were overfit, or lost money after fees
The two that held up:
\- **RSI crossover on the daily**: about +0.9% per trade on unseen data, positive on all 20 pairs. Catch: almost every trade happens below the 200-day MA. It's a dip buyer, so the popular "only buy above the 200 MA" filter kills it.
\- **Volatility breakout on 4h** (ATR + volume expanding together): strong overall, but more than half of its profit came from one quarter, and 2025 was mostly losing.
Biggest lesson: QQE looked good on the first 8 pairs I tested and fell apart on the next 12. If a backtest only shows BTC and ETH, be suspicious.
I built this into a free tool so you can check any strategy the same way (fees in, unseen data, random baseline, per-pair breakdown): tradingdek.com. Backtests and paper bots are free.