Coinside

#EOSReturns

[Coinside @archivaltweet]

No play of words that cause confusion and divide. Delivering words on-cam. Does meaningful action as there's a great need of that at present.

The EOS/IO Community has a great leader. There's no doubt about that.

[Vaulta @Vaulta_]

"As leader of the #ENF, I will guide and lead the community in fulfilling the limitless potential that #EOS holds. Today is the genesis of what $EOS has the capacity to become. There are no more excuses."

Watch @EosNFoundation Full Keynote Speech
👇👇👇👇
https://t.co/gH969PKPwo

[Phantom_Defi @0xPhantomDefi]

🚨 BITCOIN HAS 26 DAYS LEFT

This cycle has NEVER failed

Buy $BTC 365 days after the top

Sell $BTC 1,065 days after the bottom

Three cycles
Three perfect hits
Zero exceptions

We’re now on day 339 of 365

That leaves exactly 26 days for Bitcoin to print its cycle bottom

If the low comes, the 4 year cycle survives again

If it doesn’t, one of Bitcoin’s most reliable patterns is officially DEAD

Save this chart

The next 26 days decide everything

[JAMES WYNN @JamesWynnReal]

I’ll leave this here:

- Wynn

[Seth @seth_fin]

#Bitcoin power law. 🔥

[Coinside @archivaltweet]

@Mystayor @grok is this true?

[Crypto Crib @Crypto_Crib_]

Bitcoin Bubble Index. 👀

Historically, price has always topped when this reaches 139 or above.

It is currently at 13.46 😳

[Rawl @EtherRawl]

A quick reality check post for everyone to understand why and how the 10/10 “crash” happened.

This chart I made shows Bitcoin on top, and below it is the Bitcoin Volatility Index a chart most people either don’t know about or don’t really understand. So here’s a short explanation based on my personal experience following it:

1. Volatility can be both good and bad. It often marks where a bottom or top is formed caused by players repeatedly buying or selling the asset within a range.

2. No volatility is bad. Prices may continue to climb within a range, but that typically signals a distribution phase.

3. Volatility under 50 represents Bitcoin’s yearly return expectations.

4. Volatility above 50 represents monthly returns a partially risk-on environment.

5. Volatility above 70–100 signals an extremely volatile, fully risk-on phase known as altcoin season.

Now, to explain why we crashed on 10/10
It’s actually quite simple. Volatility was bleeding below 50 while Bitcoin price kept climbing. That meant the price was in a (distribution) phase, with volatility being “oversold.” When an asset or index becomes oversold, a reversal is bound to happen at some point.
With that said, the crash on 10/10 was actually the best possible scenario. Everything reset from scratch Bitcoin distribution turned into re-accumulation, and the volatility index retested the 50 level, effectively resetting the trend.

Now, volatility is shifting from yearly-return expectations into monthly-return behavior. Once we get above 50, we’ll enter a partially risk-on phase. As volatility rises from 50 to 70, expect increased risk-taking. When volatility reaches 70 or higher, that’s typically when Bitcoin tops out and altcoin season happens.

This is how you read volatility in crypto. There was truly no better scenario than this one for Bitcoin to transition from a yearly return phase into a shorter time frame returns which will inevitably lead into altcoin season.

[Plan C @TheRealPlanC]

The wait is over!

Introducing... 🥁

Bitcoin Quantile Model v2.

You’re going to want to bookmark this post—and follow for regular model updates.

After months of research and development, I’m very proud of this model—my flagship quantile framework.

I’m confident it’s one of the best—if not the best—long-term Bitcoin investment frameworks available.

As a full-time, unpaid Bitcoin researcher, I’m often asked how people can best support my free content.

Simply bookmark, repost, and comment on my posts :)

Thanks for all your continued support!

— PlanC

Key Features & Improvements:

1. Quantile lines never cross—mathematically impossible.

2. Cycle-length agnostic.

3. 133,000+ data points and 1,500 lines of code.

4. Fits and stores 999 quantile levels (τ = 0.001–0.999 in 0.001 steps) and identifies which level the last price is closest to.

5. Fits the two leading decay functions (stretched exponential decay & exponential decay) and selects the better fit via quantile-appropriate AIC.

Uses Akaike weights to identify the best-supported model.

Akaike weights (AIC-based):
Stretched exponential decay: 96.4%
Exponential decay: 3.6%

6. Piecewise Quantile Regression — Linear + Stretched Exponential Decay (Nonlinear).

[Rowan Cheung @rowancheung]

I think China's second DeepSeek moment is here.

This AI agent called 'Manus' is going crazy viral in China right now.

Probably only a matter of time until it hits the US.

It's like Deep Research + Operator + Claude Computer combined, and it's REALLY good.

[Gina Acosta @ginacostag_]

🚨 BREAKING: Now anyone can create apps on their phone with no code skills!

Replit has just launched Replit Agent on mobile for FREE.

10 mind-blowing examples:

[Amit @HeyAmit_]

I don’t understand why people aren’t using AI for trading.

AI makes it easy to boost profits and trade smarter.

Here’s a list of tools to level up your trading:

[GC Cooke @Gccooke]

1. Edge Computing Over Cloud:
AI moves from massive data centers to local devices, bringing privacy and speed

2. Data Quality Over Size:
Better data beats bigger models

3. Practical Uses Over Demos:
Solving real problems beats impressive parlor tricks

The smart money sees this coming:

[zerohedge @zerohedge]

deepseek better not be the real deal...

[Bishal Nandi @LearnWithBishal]

OpenAI has just dropped ChatGPT Operator!

And it's causing a massive stir.

Here are 12 jaw-dropping examples so far:

[Fakhr @iamfakhrealam]

DeepSeek-R1 Shakes OpenAI

A New Ray to Come Closer to AGI

Here are 11 DeepSeek prompts for problem-solving:

[Min Choi @minchoi]

DeepSeek R1 broke the Internet just 5 days ago.

People can't believe how powerful and "intelligent" it is. Unlocking new possibilities.

10 wild examples:

[Ben Averbook @benaverbook]

10 days after Trump's historic landslide:

Peter Thiel sat down with @bariweiss for his first post-election interview.

The Silicon Valley legend revealed what really happened behind the scenes.

And why 2024 wasn't just an election - it was a revolution:🧵

[Adam Silverman (Hiring!) 🖇️ @adamsilverman]

Here is everything that happened in AI Agents this week 🧵

(save for later)

[Nelly; @nrqa__]

ChatGPT Prompting;

[AshutoshShrivastava @ai_for_success]

Cursor hype is real, and it's definitely the best AI-powered IDE for SWE.
Here are some examples that show the true power of Cursor.

🔖 Bookmark this for future reference, as I will keep updating it if I find something new.