u/Godzillaton

Hey guys,

I am building something which i believe already have been made by Opencandle or Openchart. I love their works

Anyone building same like this? Please share your project. I am trying to build something like this as well and just gonna clone Deepseek Harness Repo. I dont want to start from Zero. Is it shameless? Well i dont care

I dont give a shit if you are selling or just promote it to me here but make sure its opensource. Lol

Hey guys,

I’m just getting started exploring AI agents for trading and would like to hear from people who are actually using them.

Would DeepSeek V4 Flash/Pro be good enough as the main model for an AI trading agent?

Currently, I’m experimenting with both Codex and Hermes Agent. I’ve also searched through relevant subreddits using my agent, but I haven’t found much discussion about which models people are actually using for trading workflows.

So I’m curious:

- What model are you currently using?

- What are you using it for :research, strategy development, coding, backtesting, market analysis, execution, etc.?

- Is DeepSeek V4 good enough, or is there a noticeable advantage from using stronger/more expensive models?

Also, which benchmarks actually matter for AI trading agents?

For example, should I care more about reasoning, coding ability, tool use, long-context performance, instruction following, hallucination rate, latency, or something else?

Hai guys,

Just want to check,

The deepseek model V4 Flash in opencode Go, is it the V4 0731 ?

Because why openrouter got 0731 in its model selection while opencode go dont have?

I spent an afternoon going through that ICT video where he walks through his own book collection. He owns over 2000 books and he narrows it down to the ones that actually mattered. Most of us are out here guessing which books are worth reading, so I figured I'd share what he said, in his own words.

1. Larry Williams, "How I Made One Million Dollars Last Year Trading Commodities" (1973)

This is the big one. He said he wore the dust jacket off it, read it every night after doing his chart updates, and still owns the first print edition plus the PDF and Kindle versions. His words: "It gave me so much hope when I read it." He does admit the phases of the moon stuff is nonsense though, so take it with a grain of salt.

2. Street Smarts, Raschke and Connors (1995)

This is where the turtle soup pattern comes from. He said this book finally made him understand stop hunts and raids. His words: "Everything changed in 1995. I could see liquidity pools, I could see smart money, things clicked."

3. Long Term Secrets to Short Term Trading, also Larry Williams

His take: the only real gem is the market structure discussion, and it's worth buying just for that, but don't expect more from it.

4. John Murphy, Technical Analysis of the Financial Markets

He literally called it the retail bible. Not because he trades with it, but because he reads it to understand how retail thinks so he can fade it. Kind of cold but honestly smart.

5. Ralph Vince, The Mathematics of Money Management

He said it's fascinating and he's read it multiple times, with a warning that if you're not a math person you'll have a hard time getting through it.

6. Toby Crabel, Day Trading with Short Term Price Patterns

His recommendation for anyone into intraday trading and probabilities. Opening range stuff, price vacuums, all that.

The ones he distanced himself from:

Wyckoff: he said he didn't learn from him and actually used to make fun of it. Al Brooks: he straight up denied learning from him or trading like him. Mark Douglas: he said "doesn't even come close" to what he teaches. Take that how you want, just reporting what he said.

And the mystery book:

He held up a first edition, out of print book and refused to name it. His words: "You can't even get it anymore. A diligent seeker will find it in PDF." That's the one that helped him figure out buying below the open. Drove me crazy not knowing the title, ngl.

His own disclaimer at the end: these books were stepping stones, not the source of what he teaches. Everything he does is his own.

Not here to sell anything, just thought this list was worth sharing since everyone keeps asking which books ICT recommends.

Larry Williams shaped him early, Street Smarts changed everything in 1995, John Murphy is the retail bible, and Wyckoff and Al Brooks are NOT his sources.

Hello guys,

I am just curious why there are like a total of 45,000 forks from Hermes Agent.

What is this and "forking" use cases anyway.

Is it like we can copy and tailor it to our self?and also we can understand the logic behind Hermes Agent?

Hello guys,

I am wondering whether its worth to use https://github.com/block/buzz.git?

Its like agent-to-agent,but whats the benefits here?

1. differents agent can understand same context/project?

2. better output/responses?

Thnx in advance

I’ve been trying to figure out what a realistic ICT study routine looks like when you also have work, family or school.

After a full day, I don’t always have the energy to sit through 3–4 hours of videos. And when I force it, I usually don’t retain much anyway.

What I’m testing now:

- 30–60 minutes on one topic

- Watch the original lesson instead of jumping around

- Mark the idea on charts

- Write down what I actually understood

- Use weekends for replay and backtesting

I also built a small tool called PlugICT to help me find the relevant ICT lesson and timestamp faster, but it doesn’t replace the actual study or chart work. But holy s**t it does help actually make proper guidance for me without losing ICT original thought process and trade execution

Curious how everyone else handles this. How many hours per week do you realistically spend learning ICT?

I’ve been looking at paid ICT mentorships lately, and the prices can get serious.

I’m not saying every paid mentor is a scam. Live feedback, accountability and access to someone experienced can have real value.

But a lot of the core ICT material is already public, so I kept asking myself:

Am I paying for new knowledge, or for structure and feedback?

That’s why I started using PlugICT to double-check the original ICT material first. It helps me find the relevant lesson and source before I decide whether I really need to pay for more guidance.

It won’t rate mentors or tell you who is legit. It’s just a research tool that helps me ask better questions before joining another program.

I started with supply and demand, Quasimodo, and a bit of Wyckoff.

I don’t think those concepts are bad. They helped me understand certain parts of the market and gave me some foundation.

But after getting into ICT, more things started clicking for me. Liquidity, timing, delivery, market structure. The pieces felt more connected.

If I had to put a rough number on it, maybe 20% of my bigger understanding came from the earlier concepts, while around 80% of my real “oh, I get it now” moments came from ICT.

That’s just my own experience. I’m not saying ICT is the only valid approach or that the other methods don’t work.

Did anyone else experience something similar? Which ICT concept gave you your biggest eureka moment?

Has anyone already tried the MCP tradingview?i just saw someone posted it into X.

But i guess it requires premium TV.

It has lots of potential i must say

Hello guys,

I just set up my existing chatgpt plus subscription into Hermes Agent.

My question is how you guys decide which model to use based on specific tasks?

If my own research,it would be as below (it's generated based on agent research deployed). And i still want different opinion from experienced users:

Question: What are you doing?

│

├─ Complex agentic coding / architecture / research?

│ └─ ☀️ SOL (use XHigh or Ultra for hardest tasks)

│

├─ Production agent / everyday coding / business docs?

│ ├─ Need best quality? → ☀️ SOL Medium

│ └─ Budget conscious? → 🌍 TERRA (85% quality at 50% cost)

│

├─ High-volume / batch / classification / extraction?

│ └─ 🌙 LUNA (fastest, cheapest, reliable for verifiable tasks)

│

└─ Agent framework (Codex, Copilot)?

├─ First pass / exploration → 🌙 LUNA or 🌍 TERRA

└─ Final solve / debugging → ☀️ SOL

I learn many things about certain models in inner circle trading concept recently.

I am sure i can answer without referring to Chatgpt.

Come hit me

Hey guys, please share your experiences about model routing ( this will be my 1st day going into rabbit hole about it). Need your insights.

I run Hermes Agent mostly on DeepSeek V4 Flash/Pro. Fast, cheap, gets stuff done. But for codebase audits I always went straight to Claude Code (Pro plan). Both connected to my GitHub repo. Claude Code built most of it. 16 merged PRs later, I figured all the problems were fixed. They weren't.

So I tried something new. Instead of one model auditing everything, I created a model-routing skill in Hermes. Different cognitive stages go to different model families. Hard rule , builder never reviews its own work. I had a routing design (bounced off ChatGPT, then Claude for verification) based on models I actually have: GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, MiniMax. Five stages:

Scanner-kimi K2.7 code

Planner- GLM 5.2

Builder- Deepseek V4 Pro

Critique- Kimi K2.7 Code

Synthesizer- GLM 5.2

Rule: family(BUILDER) ≠ family(CRITIC-A) ≠family(CRITIC-B)

Kimi found 8 more issues I missed:

During Solo model audit: 8.5/10, claimed launch-ready. But after Routed model audit: 7/10, 4 launch blockers.

And i asked Claude Code, it did verified all hermes's 8 findings. Real, not hallucinated. But I'm still skeptical because each model has its own "agree to the agreement" tendency, hahaha. Kimi caught real stuff GLM missed. Flip the roles and GLM would probably catch stuff Kimi missed too.

That's the point. Different model families catch different bugs. No single model is complete. The routing skill enforces separation instead of trusting one model to review its own work.

Hey everyone,

I recently stumbled across Hugging Face again, and it got me wondering how people are actually using it in their day-to-day workflows.

I haven't integrated anything from Hugging Face into my projects yet. Partly because I haven't found a compelling use case for my needs, or maybe some of the AI tools or agents I'm already using are leveraging Hugging Face behind the scenes without me realizing it.

I've done some research, but most of the examples I've found don't really match the kind of projects I'm building.

For those of you who actively use Hugging Face:

-What do you use it for?

-What real-world problems does it solve for you?

-Which Hugging Face models or services have become part of your workflow?

-Was there a point where you thought, "This is exactly why Hugging Face is useful"?

For context,so far my work in progress is related to RAG ,trading ,TTS,etc

Thnx in advance

​

Hey guys, just wanted to share something.

New to RAG thingy here.

I think I've built about 60% of my RAG product. The idea is simple, help people learn faster. Cut through the noise and get straight to what matters.

I won't go into the specifics of what I built, but I've generated close to 30,000 chunks of content. All of it designed to help people make better decisions. Because let's be honest, nobody has unlimited memory.

So with this RAG system, people can ask questions and get instant answers. Even if they forget a month later and ask the same thing,same answer, no hallucination. At least that's what I've seen so far. If I'm wrong about something, tell me.

The real question I have: how do you actually sell a product like this?

What's the right packaging? My goto is a landing page with a pricing table. But after that—how do customers get the product? One-time purchase? Subscription? Or do they install it locally on their own machine?

Thanks

Hey guys,

Just got Claude Pro today. Finally.

Thing is, I've got like 5 different things I need to design:

- Landing page for my ICT Vault project

- Mobile app UIs

- A dashboard

- Regular websites

- And somehow learn Claude Design on top of that

I keep finding cool GitHub repos, UI libraries, MCP servers, component collections — and I know most of them are probably useful, but I also know myself. I'll click one link, then another, then another, and suddenly I've burned half my weekly usage watching tutorial #12 and still haven't shipped anything.

What I actually want to know:

1. If you could go back to day one, what's the ONE thing you'd focus on first?

2. Which repos/resources actually saved you time vs just looked impressive in a README?

3. Any tips on Claude Design specifically? I don't want to burn 50% of my quota figuring out why it keeps making text too small and spacing weird.

4. How do you handle designing a landing page + app + dashboard without rebuilding everything from scratch each time? Design system? Templates? Copy-paste?

I'm not a designer. I can tell good design from bad design, but making good design happen is a different story. Would love to hear what actually worked for real people, not the "5 tips to supercharge your workflow" blogspam.

Thanks.

I am from Malaysia

Been running OpenWA (self-hosted WhatsApp API) + Hermes Agent for a few days. Here's what it does for me now:

11 construction WhatsApp groups. Tower crane updates, QA/QC reports, manpower tracking, safety alerts. Hermes reads all of them and summarizes everything I need to know.

Example from yesterday:

"L970 Tower Crane: 52 lifts, TC 2 dominant. Jacking postponed to Monday — hydraulic machine issue. QA/QC: 23+2 workers, Block A L6-L7 vent block ongoing."

That's 82 WhatsApp messages boiled down to 3 lines.

It also sends messages for me. Told it to text my bar bender at 7:50am tomorrow to check rebar balance. And follow up with MJN Body Paint about my Honda insurance at 8:30am. All scheduled, all automated.

The stack:

- OpenWA (self-hosted on my laptop, localhost)

- Hermes Agent (connected via REST API)

- Cronjobs for scheduled messages

- Telegram as the control interface

The part I like most? I just talk to it in Manglish on Telegram. "Check L970 groups ada apa update hari ni." It knows exactly what I mean.

No vendor lock-in. No monthly SaaS fee. No cloud dependency. Everything runs on an 8GB laptop.

AMA about the setup if you're curious.

Been working through the Inner Circle Trader back catalog on YouTube. 679 videos, 30+ playlists, mentorship content from 2016 through 2026. I wanted all of it searchable, not just saved to a playlist. Actually transcribed with timestamps so I could search for any concept across the whole library.

Hermes Agent handled the orchestration. I set up a trading profile called Robin that managed the pipeline.

The stack:

- Hermes Agent (Robin profile)

- faster-whisper tiny model, CPU-only

- YouTube Transcript API + yt-dlp

- Local markdown wiki at ~/wiki/ict-library

- Cron jobs for overnight batch runs

Results so far:

- 335 transcripts in the wiki

- 428 hours of content

- 368 out of 679 videos on the channel

- All the major playlists: 2025/2026 Lecture Series, 2023/2024/2022 Mentorship

What went wrong along the way:

Rate limits were the biggest headache. The YouTube Transcript API would fly through 50 videos in 2 minutes, then lock up for hours. yt-dlp had its own separate rate limit that'd kick in after 10-15 downloads. Three tools, three different cooldown timers, no way to know which one was usable at any given moment.

The laptop situation didn't help. 8GB RAM, no GPU, a 112GB drive that was basically full before I started. faster-whisper on CPU takes about 6-9 minutes per hour of audio. Anything over 70 minutes would OOM halfway through. I ended up chunking long videos into 3-minute segments. Hacky but reliable.

Some YouTube formats served DASH manifests instead of actual audio. The av library would hang with no error message. Took a while to figure out that switching from m4a to webm fixed it.

Disk space was a constant dance. 1-2GB free at any time meant I had to delete audio the second a transcript finished. One video at a time, clean up after yourself, don't get greedy.

Oh and some video IDs have underscores in them. split('_')[0] truncates the ID. Spent an embarrassing amount of time wondering why transcripts I just created weren't showing up in the count.

Was it worth it? Yeah. I set cron jobs to run overnight and woke up to 30+ new transcripts more than once. Now I can search "FVG" or "killzone" or "order block" and get every instance across 428 hours of content with exact timestamps. All on a laptop that was already running 24/7