Phyrom Phat

Set a huge goal that is scary & challenging. Take massive actions together w teams & going through processes until having accomplished the goal. This drives me!

[ChartMantra🇮🇳 @ChartMantra_]

🚀 8 Keys to Superperformance from legendary trader Mark Minervini.

Success in the market isn't about predicting the future-it's about following a repeatable process.

The biggest takeaways:

✅ No forced trades
✅ Cut losses quickly
✅ Never average down
✅ Master timing & patience
✅ Focus on risk before reward
✅ Concentrate on your best ideas
✅ Rotate capital into stronger opportunities
✅ Stick to one proven trading style
The market rewards discipline, not opinions.
Which of these principles changed your trading the most?
👇 Share your biggest lesson.
🔁 Repost if you found this valuable.

[ChartMantra🇮🇳 @ChartMantra_]

The best traders aren't the ones who make the most money.

They're the ones who lose the least.

Your strategy gets you into a trade.
Risk management keeps you in the game.
My non-negotiable rules:

✅ Risk only 0.5–1% per trade
✅ Size your position before entering
✅ Never trade without a stop loss
✅ Let winners grow, cut losers quickly

Remember:
You don't need a higher win rate.
You need better risk management.
Protect your capital first.
Profits will follow.

📌 Save this as your pre-trade checklist.

Follow @ChartMantra_ for practical trading education.

[Rahul @sairahul1]

ANTHROPIC JUST LOST 20,000 CLAUDE CODE USERS TO ONE GITHUB REPO

25,000 developers.

41k GitHub stars.

6,700 forks.

25 free models.

COMPLETELY FREE.

bookmark this before everyone finds it.

your Claude Code bill is about to look very different.

it reroutes Claude Code to DeepSeek, Kimi and 8 other models.

same CLI.

same workflow.

different model underneath.

5-minute setup.

hundreds of dollars saved every month.

no noticeable downgrade on everyday coding.

swap the endpoint once.

your wallet will notice.

Link to repo: https://t.co/avYbVpYwsQ

[Ruuj @RuujSs]

The relationship between options prices and probability is the most important thing in derivatives trading.
MIT taught exactly how to read them.

Bookmark & turn on notifications, new article will be out tomorrow!

[Phyrom Phat @phyromphat]

@dimson001789 @grok, title of the movies

[Phyrom Phat @phyromphat]

https://t.co/h0Sfubt4ot

[Mr. Buzzoni @polydao]

Atlassian's revenue: $1.79 billion last quarter
Atlassian's move: fire the engineer who built their infrastructure

his move: post a 38-minute breakdown of every system he built, free for anyone to copy

what he revealed:

> Envoy proxy instead of enterprise load balancers
> sidecar architecture for auth, logging, rate limits
> DynamoDB + SQS for async provisioning
> Packer + SaltStack for automated VM deployments at scale

Atlassian charges per employee across 350,000 customers

this guy just handed you the enterprise playbook for free

save this

[Gaurav Srivastava @Gaurav_Cx10]

One of the greatest investors of all time, William O’Neil, breaks down how he actually read a weekly chart.
In just 7 mins, he covered the things most ignore:
-Base patterns
-Exact Entry Zone + 10 week EMA
-Earnings strength
-RS
-Progressive exposure
This is how you train your eyes

[Mark Minervini @markminervini]

When breakouts fail to gain traction, it’s often a signal that the market is crowded and retail activity is elevated. This helps explain why the vast majority of significant stock advances begin out of corrections and bear markets—periods that effectively wash out the noise.
As a trader, your role is not to fight the market, but to interpret its message and adapt accordingly—minimizing losses during choppy, indecisive conditions. By doing so, you preserve both capital and flexibility, positioning yourself to capitalize when truly favorable opportunities emerge.
Bottom line: Breakouts are timeless, but the results are cyclical. Just like with individual stocks, patience and discipline are required. No one has a crystal ball. Managing the downside puts you in position for the upside. That truly is the "secret."
https://t.co/JXzFFTmMtn

[Brivael Le Pogam @brivael]

Elon Musk avait dit un truc qui m'avait marqué sur l'allocation de ressources. En substance : passé un certain niveau de richesse, l'argent n'est plus de la consommation, c'est de l'allocation de capital.

Cette phrase change tout.

L'économie, dans le fond, c'est juste un problème d'allocation. Tu as des ressources finies et des usages infinis. Qui décide où va quoi ?

Imagine une cour de récré. 100 enfants, des paquets de cartes Pokémon distribués au hasard. Tu laisses faire. Très vite, un ordre émerge. Les bons joueurs accumulent les cartes rares, les collectionneurs trient, les négociateurs trouvent des deals. Personne n'a planifié. Et pourtant chaque carte finit dans les mains de celui qui en tire le plus de valeur. Le système maximise le bonheur total de la cour. C'est ça, la main invisible.

Maintenant fais entrer la maîtresse. Elle trouve ça injuste. Léo a 50 cartes, Tom en a 3. Elle confisque, redistribue, impose l'égalité. Trois effets immédiats. Les bons joueurs arrêtent de jouer, à quoi bon. Les mauvais n'ont plus de raison de progresser, ils auront leur part. Les échanges s'effondrent. La cour est égale, et morte. Elle a maximisé l'égalité, elle a détruit le bonheur.

Le problème de la maîtresse, c'est qu'elle ne peut pas avoir l'information que la cour avait collectivement. C'est le problème du calcul économique de Mises, formulé en 1920. L'URSS a essayé de le résoudre pendant 70 ans avec le Gosplan. Résultat : pénuries, queues, effondrement. Pas parce que les Soviétiques étaient bêtes, parce que le problème est mathématiquement insoluble en mode centralisé.

Quand Musk a 200 milliards, il ne les consomme pas, il les alloue. SpaceX, Starlink, Neuralink, xAI. Chaque dollar est un pari sur le futur. Et lui a un track record. PayPal, Tesla, SpaceX. Il a démontré qu'il sait identifier des problèmes immenses et y allouer des ressources avec un rendement spectaculaire.

L'État aussi a un track record. Hôpitaux qui s'effondrent, éducation qui décline, dette qui explose, services publics qui se dégradent malgré des budgets en hausse constante. Le marché identifie les bons allocateurs, la politique identifie les bons communicants.

Le profit n'est pas une finalité, c'est un signal. Il dit : tu as alloué des ressources rares vers un usage que les gens valorisent suffisamment pour payer. Plus le profit est gros, plus la création de valeur est grande. Quand Starlink est rentable, ça veut dire que des millions de gens dans des zones rurales ont enfin internet. Quand un ministère est en déficit, ça veut dire qu'il consomme plus qu'il ne produit. L'un crée, l'autre détruit, et on appelle ça redistribution.

Dans nos sociétés il y a deux catégories d'acteurs. Les entrepreneurs et les bureaucrates. L'entrepreneur prend un risque personnel pour identifier un problème, mobiliser des ressources, créer une solution. S'il se trompe il perd. S'il a raison, ses clients gagnent, ses employés gagnent, ses fournisseurs gagnent, l'État collecte des impôts. Il est la cellule de base du progrès humain.

Le bureaucrate ne prend aucun risque personnel. Son salaire est garanti. Au mieux il maintient une rente existante. Au pire il la détruit par excès de réglementation, mauvaise allocation forcée, incitations perverses qui découragent ceux qui produisent. Mais dans aucun cas il ne crée.

Regarde les 50 dernières années. iPhone, internet civil, SpaceX, Tesla, Google, Amazon, Stripe, mRNA, ChatGPT. Toutes des inventions privées, portées par des entrepreneurs, financées par du capital risque. Pas un seul ministère n'a inventé quoi que ce soit qui ait changé ta vie au quotidien.

La France est devenue le laboratoire mondial de la dérive bureaucratique. 57% du PIB en dépenses publiques, record absolu. Une administration tentaculaire, une fiscalité qui pénalise la création de richesse. Résultat : décrochage face aux États-Unis, à l'Allemagne, à la Suisse. Fuite des cerveaux. Désindustrialisation. Dette qui explose.

Et le pire c'est que la mauvaise allocation s'auto-renforce. Plus l'État prélève, moins les entrepreneurs créent. Moins ils créent, moins il y a de base fiscale. Plus l'État s'endette et taxe. Boucle de rétroaction négative parfaite. La maîtresse pense qu'elle aide, et chaque année la cour produit moins.

Dans nos sociétés, ce sont les entrepreneurs, toujours, qui font avancer la civilisation. Les bureaucrates au mieux maintiennent une rente, au pire la détruisent. Aucune société n'a jamais progressé en taxant ses créateurs pour subventionner ses gestionnaires.

La question n'est jamais qui a combien. C'est qui alloue le mieux la prochaine unité de ressource pour maximiser le futur de l'humanité. La réponse depuis 200 ans n'a jamais changé. Ce ne sont pas les fonctionnaires.

[Patrick OShaughnessy @patrick_oshag]

My guest today is Paul Tudor Jones (@ptj_official), one of the greatest macro traders of all time.

He correctly predicted the 1987 stock market crash and shorted the Japanese bubble in 1990. For over 40 years, his flagship fund has had a negative correlation to the S&P 500. 100% of his returns are alpha.

He says today's market has so many similarities to 2000, "the easiest bear market I've ever seen in my whole life."

He makes the case for going long dollar-yen, why Bitcoin beats gold as an inflation hedge, and why he was wrong about Warren Buffett.

But what I'll remember most from this conversation is Paul's zest for life. He's 71 and still wakes at 2:30 every morning to trade the London open. He works out for two hours a day. He walks with his wife every evening. He travels the country chasing peak spring and peak fall. He's so excited about the songs picked for his funeral that he wishes he could be there to hear them.

Paul has lived five lifetimes in one. He's one of the most entertaining and interesting people I've met, and the conversation will leave you searching to be as passionate about what you do as he is about what he does.

Enjoy!

Timestamps:
0:00 Intro
1:00 The Kindest Thing
13:19 Trading vs. Investing
17:33 Lessons from Warren Buffet
22:24 The Existential Risks of AI
29:54 The Nature of Trading
31:46 Bitcoin
35:55 Bubbles
42:08 A Day in the Life of PTJ
46:00 Information Overload
47:07 Passion for Markets
50:49 The Robin Hood Foundation
54:18 The Workless World
56:03 Journalism
1:00:00 Principal Components of a Great Life
1:05:06 Kill Them With Kindness

[Maria Islam @mariaislam6451]

Stop telling Claude, "do this."
Stop telling Claude, "write code."
Stop telling Claude, "fix this error." You're actually treating a senior AI like a junior intern. Here are eight prompts you can copy and paste directly:

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic's own team just showed how to actually prompt Claude.

24 minutes. free. from the people who built it.

watch the workshop. bookmark it.

worth more than every $300 course you almost bought.

you've been using Claude without knowing 40 of its prompts.

Then read the guide below.

[Himanshu Kumar @codewithimanshu]

Anthropic's Claude Code team just teaches how to automate your entire engineering workflow with Claude Code SDK in under 30 minutes.

For Free. From the engineers who built it.

CANCEL Your Weekend Plans, and Learn to Automate Your Codebase Today.

Bookmark it. Watch it. Ship your first headless automation this weekend.

$5,000/month. $10,000/month. $25,000/month.

People are automating entire engineering teams with Claude Code SDK and charging clients $$$$. You're still copy-pasting code from ChatGPT manually.

This video fixes that tonight.

Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.

↓

Sid Bidasaria runs engineering on Claude Code at Anthropic. He just gave away the entire SDK + GitHub Action playbook in 30 minutes.

This is the talk that separates people automating their entire codebase from people still manually writing every commit.

Here's everything inside.

Follow @codewithimanshu for weekly Claude automation breakdowns.

↓

What the Claude Code SDK actually is.

Most devs don't know this exists. They use Claude in the chat interface and call it a day.

The SDK is the real unlock.

Programmatic access to the Claude Code agent in headless mode. The primitive building block for every serious automation you'd ever want to build.

Designed like a Unix tool. Drops directly into terminal pipelines, bash scripts, CI/CD automation.

Use it to review code. Write linters. Build chatbots. Manage remote code environments. Run an entire engineering pipeline.

This is how you stop "using AI" and start "shipping with AI."

Follow @codewithimanshu for full Claude SDK breakdowns every week.

↓

Basic usage that 99% of devs miss.

`claude -p` to prompt the agent directly from your terminal.
`--allowed-tools write` for controlled file system access.

Pipe anything into it:

> Pipe `ifconfig` output → ask Claude to debug your network
> Pipe error logs → get a fix before your coffee finishes brewing
> Pipe a file → get instant code review without opening an editor

`--output-format JSON` for structured responses you can parse in automated systems.

This is where Claude stops being a chat tool and becomes infrastructure.

Follow @codewithimanshu for daily Claude SDK one-liners that save hours.

↓

Permission management without the security holes.

The biggest reason teams don't deploy AI in production: permission concerns.

Sid solves it cleanly:

> No destructive permissions by default
> `--allowed-tools` to pre-configure exactly what the agent can touch
> `--permission-prompt-tool` to delegate authorization to an MCP server in real time

Your AI agent gets full power exactly when it needs it. Zero access when it doesn't.

This is enterprise-grade AI security packaged as a single flag.

Most tutorials hand-wave this. This one shows the architecture.

Follow @codewithimanshu for production AI permission patterns every week.

↓

Session persistence: the multi-turn unlock.

Most AI integrations forget everything between calls.

That's why your "AI assistant" feels like talking to someone with amnesia.

Return a `session ID` and Claude resumes exactly where you left off. Full context preserved. Multi-turn conversations across hours, days, deploys.

This is the foundation for building any real AI product that holds context.

Customize the system prompt while you're at it. `--system-prompt 'talk like a pirate'` if you want. Or build a serious agent persona for production.

Follow @codewithimanshu for persistent context patterns for AI agents.

↓

The Claude GitHub Action demo that should scare every dev.

Sid runs a live demo on a real quiz app:

> Files an issue: "add a 50/50 power-up and a skip power-up"
> Claude creates a to-do list
> Claude modifies the files
> Claude opens a Pull Request

The entire feature shipped from one issue. No human touching code.

This is automated code review, automated bug triage, automated feature implementation. From GitHub issues directly.

Junior dev work just got compressed into the time it takes to write an issue description.

Follow @codewithimanshu for GitHub Action setups for production.

↓

Zero infrastructure required.

Every other AI automation tool needs:

> A separate server
> A deployment pipeline
> Monitoring infrastructure
> Auth setup
> Cost tracking

The Claude GitHub Action uses your existing GitHub Action runners.

`claude /install github action` in your local repo. Generates a YAML config. Done.

You go from idea to production AI automation in 60 seconds.

Most people pay $200/month for tools that do less than this free Action.

Follow @codewithimanshu for free Claude Action templates.

↓

The 3-layer architecture nobody explains.

Sid breaks down the actual stack:

> Layer 1: SDK - the foundation, raw programmatic access
> Layer 2: Base Action - wraps the SDK as a clean API interface
> Layer 3: PR Action - adds comments, formatting, full GitHub UX

Understanding these layers is the difference between someone who copies tutorials and someone who builds custom AI infrastructure for clients.

This is the architectural insight that turns into $10K/month consulting contracts.

Follow @codewithimanshu for weekly architecture deep dives.

↓

30 minutes from the engineer shipping this in production.

You'll learn more from this than from 6 months of YouTube tutorials made by people who've never automated a single deploy.

People who watch this understand Claude Code automation at the infrastructure level.

People who skip it keep manually reviewing PRs, manually filing issues, manually doing work that could've been automated last weekend.

Save the video. Watch it tonight. Ship your first Claude SDK automation this weekend.

Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.