Das

[Roan @RohOnChain]

i still don't understand why everyone is NOT building 24/7 trading agents with opus 5.5 + jev

this combo builds MOST POWERFUL AI trading bots

i wrote a 6-page research paper on exactly how to find profitable strategies 24/7 with opus 5.5 + jev from scratch

along with COMPLETE CODEBASE in RUST

this is the exact system I have been running for the past 3 days are so far results are INCREDIBLE:

[Quant Science @quantscience_]

R.I.P. Bloomberg Terminal.

A developer just built an AI hedge fund that runs on your laptop.

It's called TradingAgents (100% free):

[Joey @WhizzTrades]

GPT 6 Astra analyzed the BEST trading model in 2026...

the answer:

low resistance liquidity & iFVGs

is all you need to be profitable.

[Mr. Quant (Jacob) @QuantIndicator]

This is fk*ng insane.

@LuxAlgo is quietly open sourcing every major trading software, one repo at a time and it's 100% FREE.

Charting engine. Pine Script® runtime. Indicator encyclopedia. Trading statistics engine. Insider Tracking, Prop Firm Sims, Edge Stats + More

The Git Hub includes:

→ Vela: a full charting engine with a native WebGL2 renderer, 70+ built-in indicators, drawing tools, multi-chart workspace and a plugin SDK. Apache 2.0, commercial use included.

→ PineTS: run native Pine Script® v6 in Node, Bun, Deno or the browser. 60+ TA functions, live streaming, backtesting, your own data
→ Vela-pinets: the addon that runs Pine indicators and strategies directly on the chart

→ Edge-stats: ask "how often did this setup actually work" over your own bars. gap fills, ORB, initial balance, seasonality, anything you can compose. every number ships with its sample size and a 95% confidence interval

→ luxalgo-mcp-server: the whole encyclopedia of trading & TA as MCP tools your AI agent can call. concepts, formulas, indicators, source code

→ market-trackers: an open pipeline for the public record of US markets. congress trades, insider filings, 13F holdings, short-sale volume, served to your agent over MCP

→ prop-firm-sim: runs 10,000 challenge journeys through a firm's exact ruleset and tells you your real pass odds before you pay

Every trading platform charges you monthly to rent the same tools. charts, indicators, backtesting, stats. this is all of it, on GitHub.

No seat licenses. no vendor lock-in. no telemetry. no waiting for a platform to ship the feature you need.

Save this for later. repos below

[Roan @RohOnChain]

GPT-6 Astra builds the MOST POWERFUL 24/7 trading agents

i wrote a 6-page research paper on exactly how to use GPT-6 Astra at its FULLEST potential to build mathematical trading strategies like hedge funds

along with COMPLETE CODEBASE

here is how you set it up:

1. the 4 mathematical trading models every hedge fund runs. Ornstein-Uhlenbeck stat arb, Avellaneda-Stoikov market making, Hawkes order flow, Heston volatility. exact formulas for each

2. the exact validation thresholds. Sharpe above 1.5, drawdown below 15%, hit rate above 55%, t-stat above 2.0, walk-forward across 5 years

3. why the math was never the wall. the wall was the 6 salary team at $1.8M annual cost per model. Astra covers every role

4. the AgenKit harness that installs 10 specialist agents inside Codex CLI with test-first builds and two-stage review gates

5. the 6 layer production architecture with Kelly-sized positions, 5% drawdown kill switches and delta-neutral hedging

6. the exact one-line prompt that ships a working mathematical model like hedge funds in one weekend

this is the EXACT system i have been running for the past 5 days & results are INCREDIBLE so far:

[Roan @RohOnChain]

GPT-6 Astra + TradingView builds the most powerful trading agents

i plugged this open source repo into my Astra stack & now my 24/7 trading bot works with real-time TradingView data

PREMIUM indicators without paying for a PRO account

here is how you can set it up:

1. clone the TradingView API repo (3.9k stars, github on top), one npm install gets you real-time feeds, premium indicators and replay mode

2. pipe the live data stream into the 300 agent monitoring layer, each sub-agent now pulls TradingView values on top of exchange APIs, 10x the signal coverage without extra cost

3. expose the indicator library as a tool to GPT-6 Astra. RSI, MACD, Ichimoku, Supertrend, plus any custom Pine Script indicator you can pull from TradingView, all callable natively

4. use the backtest endpoint to validate every hypothesis. Astra writes the strategy, converts to Pine Script, ships it, reads the result in seconds

5. connect the technical analysis endpoint to the Validation Bot. TradingView returns a buy/sell/neutral read across 26 indicators for any symbol, becomes a second opinion layer before capital moves

6. use replay mode to stress test across any timeframe. free, unlimited, works on premium data

7. telegram alerts now include chart snapshots alongside instrument, strategy, Sharpe, drawdown and Kelly sized position

EXACT system (in depth) which I am running with GPT-6 Astra is in the article below:

[Noisy @noisyb0y1]

ANTHROPIC LEAKED A FILE THEY SPENT 4 YEARS BUILDING - 10 WORKERS BUILD A COMPANY IN 24 HOURS AND COST $16.07

OpenAI and Microsoft already replaced their engineers with this file - and save $300,000 a month.

you write the root at the start and press release at the end, and all 10 workers read the same file.

Opus 5 splits the task and judges the result, Sonnet 5 builds across 3 parallel branches, Haiku 4.5 writes the docs and scans the market.

by the time you press the button the diff has passed 2 gates - one asks does it run, the other asks should it ship at all.

the 8 build hours are 67% of the bill, while the night shift and the auditor cost 53 cents between them on the batch queue.

the auditor rewrites one line in the root - and tomorrow the ring turns on a better file.

save this and paste it into Claude Code - a day builds the machine, the market decides the number ↓

[Dhairya Karekar @dkare1009]

GRAPH ENGINEERING FULL COURSE — 2 HOURS

This is the most detailed Graph Engineering guide I've seen online.

Bookmark this video so you don't lose it

> build your first agent from scratch
> why single-agent loops fall apart
> turn those loops into a graph
> architect a multi-agent system on top
> the full build, start to finish

Agent → Loops → Graphs → Multi-Agent Systems → Money

then read how I ran it all on Kimi K3 below ↓

[Marceline Yara @AI_creator_Yara]

I generated $43,800 overnight using an automated OpenClaw setup.

At 3:47 AM, my system triggered a confirmation alert. I approved it half-asleep—by morning, the position had closed with a +$43,800 gain.

I’ve documented the exact, step-by-step process behind this timezone arbitrage strategy.

[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞: @AI_creator_Yara (𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌)]

What you need:
• Claude
• A laptop
• 24 hours to test it (no cost)

The system runs continuously, scanning global news across Japanese, European, Australian, and Middle Eastern markets.

It identifies pricing inefficiencies—situations where outcomes are already reflected overseas, but U.S. markets have yet to adjust.

After 9 days of running this setup, the results have been consistent—and eye-opening.

Most traders focus on EST. Markets don’t.

While one region sleeps, another resolves events in real time.

That timing gap is the opportunity.

How to access the guide:

1. Comment " 𝐂𝐥𝐚𝐰 "
2. Like & repost
3. Follow @AI_creator_Yara (so I can send it via DM)

[Das @davidsalgajim]

@AI_creator_Yara Claw

[rari @0xwhrrari]

Anthropic engineers showed how to build agents that run for days with graph engineering

"More than 30% of our code is already written by agentic graphs. That's why we ship so fast"

In this 40-minute workshop, they break down the full stack:

Agents → Graphs → Harness → Memory → Sub-agents

This is worth more than most $1000 vibecoding courses

Bookmark and watch the workshop today

Then read the full article below

[Hanako @hanakoxbt]

Google Brain founder, Andrew Ng:

"Prompting will be dead in 6 months. Loops and graphs are replacing it."

in 100 minutes at Stanford he shows how to build agents that finish the work and sharpen themselves

LLMs → Agents → Loops → Graphs

the first 15 minutes go past where most $500 AI courses stop

most people are still learning prompts while the leverage moved two layers up

same model, same tokens, and the only thing that changes is the shape you run it in

watch the lecture today, then save the full graph engineering guide below

[Ethan Cajigas @aureliuscajigas]

if you’re making under 5K MRR with your app...

instead of trying to go viral for 3 months

just run ads bro

here’s how i did it to scale to $20K/mo two times in a row 👇

https://t.co/gOcCxP77WL

[SoloTech @solotechdev]

📂 How to market a mobile app
┃
┣ 📂 Start with organic posting
┃ ┣ 📂 2 times/d on TikTok
┃ ┣ 📂 1 time/d on Instagram
┃ ┗ 📂 Keep posting for 5 weeks
┃
┣ 📂 Start Meta Ads
┃ ┣ 📂 Find best-performing organic post
┃ ┣ 📂 Would be nice to have +100 bookmarked
┃ ┣ 📂 Start Meta Ads with $50 daily budget
┃ ┣ 📂 Do not increase budget for 3 weeks
┃ ┗ 📂 Increase your budget 20% every 3 days
┃
┣ 📂 Start TikTok Ads
┃ ┣ 📂 You must start +$100 daily budget
┃ ┣ 📂 Generate content that looks most stup*t
┃ ┣ 📂 Do not try to make high-quality video 😀
┃ ┣ 📂 If you stop in one month, you lose 👎🏻
┃
┣ 📂 Time to use AI influencers
┃ ┣ 📂 You found which formats work for you
┃ ┣ 📂 Use Kling 3.0 pro + Nano Banana 2
┃ ┣ 📂 AI video + Your app demo great combination
┃ ┗ 📂 ⭐️ Choose consistent character, not random
┃
┣ 📂 Make 30 days' content in one day
┃ ┣ 📂 Write a script using Claude
┃ ┣ 📂 Use @fal for @Kling_ai videos
┃ ┣ 📂 Because Fal AI has a built-in queue and batch
┃ ┗ 📂 or just use goviraldev[.]com
┃
┣ 📂 How many accounts do you need?
┃ ┣ 📂 Start with at least 5 accounts
┃ ┣ 📂 All of them must have consistent characters
┃ ┣ 📂 Do not start with brand accounts
┃ ┗ 📂 Each account must have a real name
┃
┗ 📂 My apps make $4k/m with this method

[MIKE @mikenevermiss]

this is f**king insane.

Jack Dorsey just open sourced a free tool for running a one-person business.

the GitHub repo already has 14.4K stars.

It lets you:

→ run your own server
→ keep chat, search, Git, and automation in one place
→ add AI agents that work like teammates
→ decide exactly what each agent can do

no monthly subscriptions.

just you, your AI agents, and full control.

this is where one-person businesses are headed.

save this for later.

[Stijn Feijen @spwfeijen]

Claude = 550 videos/day

Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents.

- UGC cost: $0
- Production time: minutes
- Scale: instant

One AI engine that creates, tests, and scales short-form ads automatically — nonstop.

Comment + RT ''LIVE'' and I’ll DM you the full workflow.

(Must be following)

[robert. @robrtcode]

Un consultor de ventas de 29 años de China dejó su trabajo gracias a la IA: ahora gana en solo dos semanas lo que su jefe gana en todo un año.

$306,000 de beneficio en el último mes.

Reemplazó a todo un equipo de analistas cuantitativos con Claude y un enjambre de agentes de IA, y construyó su propio motor de simulación del precio de ETH.

Su wallet:
https://t.co/cyaUhqL1NA

Cada uno de los 6 agentes valida sus propias decisiones de trading y, gracias a su precisión, está generando al menos $15,000 al día.

La velocidad de cobertura y análisis de su sistema de agentes supera con creces a la de cualquier equipo de trading de primer nivel.

Recopilan datos 24/7 y ejecutan simulaciones con esos datos en el motor MiroFish, de forma completamente autónoma.

Memorizan cada patrón, cada reacción del mercado y cada señal de trading. Esto marca un nuevo hito en el trading algorítmico.

Cada operación es un ciclo perfecto. Cada dólar ganado es pura explotación de ineficiencias del mercado.

No predice el futuro: las matemáticas ya lo conocen. Simplemente interpreta correctamente los números y se lleva el dinero.

Guarda esta publicación si realmente quieres aprender a construir algo parecido.

[Simone Canc @simonecanciello]

she's right, this method to find app ideas is insane.

i've been sharing my app ideas for months now and i've found most of them on creator search insights.

what you should look for:

> 100k+ weekly searches
> you scroll and see videos about it

you can be the 1st in your niche.

[ashen @ashen_one]

claude design is my all time favorite anthropic drop this year, even more than opus 4.7

its actually really really good at design and the "handoff to claude code" makes it basically copy/paste ui to the actual working product

claude design made the entire ui for merl (full video on merl soon)