Coin Analyst

Professional shitposter

[Coin Analyst @Coin_Analyst]

BEAR MARKETTTTT!!!

[Ruuj @RuujSs]

MIT published a full lecture on risk-neutral pricing and Black-Scholes equation.
It covers forward contracts, options valuation, stochastic calculus, and why derivative prices depend on volatility.

To all quants out there turn on Notifications, new article will be out tomorrow!

[Rahul @sairahul1]

https://t.co/uRsQBBhTcH

[rari @0xwhrrari]

https://t.co/EQxWTXrbg0

[Zephyr @Zephyr_hg]

https://t.co/xFmfIAJZYX

[Meenakshi Yadav @MeenakshiYACS]

Most people talk about Agentic AI.
Very few can actually design it.

Here’s a simple cheat sheet to design + explain Agentic AI architecture 👇

🎯 Start here ➡️ Define the goal
What exactly should the agent achieve?

1️⃣ Orchestration Layer ➡️ The control panel
Decides flow, logic, and coordination

2️⃣ Agents Layer ➡️ The workforce
Single or multi-agents handling specialized tasks

3️⃣ Tools Layer ➡️ Execution power
APIs, web search, databases, external systems

4️⃣ Memory ➡️ The brain
Short-term + long-term context storage

5️⃣ Monitoring ➡️ The eyes
Track every step, detect issues in real time

6️⃣ Reliability & Failure ➡️ The safety net
Retries, fallbacks, human-in-the-loop

7️⃣ Governance & Security ➡️ The guardrails
Auth, compliance, audit, data protection

💡 Real insight:
Agents alone don’t make systems powerful.
Architecture does.

If you can explain this simply,
you’re already ahead of 90% in AI.

❤️ Like
🔁 Retweet
🔖 Bookmark

Follow @MeenakshiYACS for more such posts

#AI #ArtificialIntelligence #GenerativeAI #CareerGrowth #Upskilling

[Ruuj @RuujSs]

https://t.co/wULVRtJFuU

[cvxv666 @antpalkin]

Quant at Jane Street kills 97 out of every 100 strategies it builds. That body count is the edge.

Not the 3 survivors. The 97 corpses.

The faster you falsify garbage, the faster you reach the one idea that isn't.

Retail runs this backwards - finds one setup, gets emotionally married to it, and rides it down 40% over six months defending it like a religion.

Run the kill-loop yourself with Horizon -> https://t.co/pDDYFGfVga

Type an idea in plain English. Horizon parses it into entry/exit logic, position sizing, risk rules.

Backtests 5 years of tick data in ~12 seconds. Runs Monte Carlo across thousands of simulated paths.

Deflates Sharpe ratio for the number of trials so luck can't sneak through. Spits out a cold verdict: dead or alive.

Kill it. Type the next. 50 ideas before dinner.

That loop cost $25K/year and a quant desk. Now it's a sentence and 12 seconds.

The edge was never having ideas. It was murdering them at scale.

Save this. Test 50. Keep 2. Kill the rest without mercy

[Roan @RohOnChain]

https://t.co/vfnqGfNfxG

[Recogard @recogard]

I just found a Polymarket trader, who made over 4,200 trades with a 93% win rate…

He started with just $13 and turned it into more than $6,900 in only 3 months.

Here’s how he trades:

> He focuses only on weather markets.
> He often enters positions at 30–40% probability and still wins.
> Most likely, he uses airport weather data or aviation observations like METAR + SPECI to get the most accurate temperature data in real time.
> He keeps the same bet size for each his trade, no gambling.

Some of his recent trades:

> Hong Kong: entered with only $14 and turned it into $710
> Lagos: from $14 to $188
> Seoul: from $12 to $150
> Taipei: from $164 to $1700

Right now, he has open positions worth more than $4,900: https://t.co/GO0NkrgcTU

I found him by this custom Live Trades filter:
> Weather markets only
> Bots excluded
> Traders with a >$5k Pnl only
> Win rate >90%

He is one of the most successful and consistent weather traders I have ever seen on Polymarket.

[zostaff @zostaff]

https://t.co/JIr4QDjxB6

[Phosphen @phosphenq]

https://t.co/euPsjfIvce

[Ruuj @RuujSs]

https://t.co/1apsVTzOC3

[gemchanger @gemchange_ltd]

https://t.co/HRz1cFEvoW

[StacyOnChain @stacyonchain]

https://t.co/mPW8ixmG2t

[cvxv666 @antpalkin]

https://t.co/2NTVA4C2mx

[Roan @RohOnChain]

A Wall Street quant who ran a trading desk for 12 years just released the exact framework behind building algorithmic trading systems from scratch publicly for free.

Bookmark & give it 1 hour today, no matter what. It'll be the most productive thing you could do this weekend.

[darkzodchi @zodchiii]

https://t.co/ggo0KPgQ2J

[StacyOnChain @stacyonchain]

https://t.co/IDZxub7tDm

[Akshay 🚀 @akshay_pachaar]

Hermes agent masterclass.

In this video, I cover everything you need to understand and customize Hermes Agent. Self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 agents that work for you 24/7.

Enjoy!

Chapters:

00:00 - Intro
02:03 - How to get the most out of this video
02:32 - What we're building (and why it's wild)
07:11 - How the whole thing works under the hood
09:27 - The SOUL.md: your agent's personality file
11:15 - The 3-tier memory system that keeps it all together
14:16 - Skills: what your agent can actually do
16:49 - The self-evolving loop (agents that improve themselves)
19:58 - The curator: Hermes' built-in garbage collector
22:56 - GEPA optimization: making your agent sharper
25:08 - Installation and setup
27:38 - Connecting your agent to Telegram
30:36 - Configuring programmer with Claude Code
31:53 - Adding new skills (from a hub of ready-made skills)
34:59 - Going from 1 to 10 agent profiles
36:49 - Building a custom designer from scratch
40:42 - Anatomy of the .hermes folder (where everything lives)
45:05 - Skill taps: sharing skills via a GitHub repo
45:59 - Skill bundles: stacking skills for workflows
47:19 - Hermes Kanban (coming soon)
48:05 Outro

Cheers! :)

[Roan @RohOnChain]

https://t.co/UZzKDITxTq