The ultimate beginner's guide to building a trading bot.
In this video, I walk you through the exact steps to building your first trading bot (from scratch)!
Watch now 👉 https://t.co/x4UJpN4BSp
I Built A Trading Bot With Claude That Made +$168,236.
This video will teach you exactly how to build your own:
0:00 Intro
1:17 Creating "rules" (Strategy #1)
2:23 Pine Script & TradingView
4:59 Coding a strategy
7:25 Refining the strategy
9:45 Strategy #2
13:11 How to be profitable
14:42 Testing on NASDAQ
16:18 Live execution
Before you launch your vibe coded project, run this prompt first:
“Perform a comprehensive audit of the application, covering security, reliability, concurrency, accessibility, and UI consistency.
Review the relevant codebase, architecture, data flows, API interactions, authentication and authorization logic, state management, async operations, error handling, and user-facing interfaces. Trace important flows end-to-end rather than reviewing files in isolation.
Specifically investigate:
Security vulnerabilities and data exposure
- Authentication and authorization flaws, including missing server-side permission checks, privilege escalation, insecure direct object references, and cross-tenant data access.
- Sensitive information exposed through client-side code, environment variables, API responses, logs, analytics, URLs, local storage, session storage, cookies, error messages, or source maps.
- Injection risks, including SQL, command, template, prompt, HTML, and script injection where applicable.
XSS, CSRF, SSRF, insecure redirects, unsafe file uploads, path traversal, weak session handling, insecure token storage, and missing security boundaries.
- Overly permissive database rules, API endpoints, CORS policies, storage buckets, webhook handlers, or third-party integrations.
- Secrets, API keys, credentials, internal endpoints, personal data, or implementation details that could be unintentionally exposed.
- Missing validation and sanitisation at trust boundaries. Do not assume client-side validation is sufficient.
Race conditions, concurrency, and state integrity
- Duplicate submissions caused by repeated clicks, retries, refreshes, or concurrent requests.
- Non-idempotent operations that can create duplicate records, payments, messages, bookings, jobs, or side effects.
- Stale state, optimistic update failures, lost updates, conflicting writes, and out-of-order async responses.
- Effects, subscriptions, listeners, timers, and requests that are not correctly cleaned up.
- UI states where actions remain available while an operation is already in progress.
- Cache invalidation problems and inconsistencies between client state, server state, and persisted data.
- Multi-tab, multi-device, and poor-network scenarios where relevant.
Reliability and failure handling
- Unhandled promise rejections, swallowed errors, silent failures, infinite loading states, broken retry loops, and incomplete rollback behaviour.
- Missing loading, empty, error, offline, timeout, and partial-success states.
- Failure paths that leave data or the UI in an inconsistent state.
- Assumptions about API responses, nullability, ordering, timing, or network availability that could cause production failures.
- Memory leaks, unnecessary rerenders, expensive operations, and obvious performance bottlenecks that materially affect the user experience.
Accessibility
- Semantic HTML and correct use of landmarks, headings, labels, lists, tables, buttons, and links.
- Keyboard navigation, logical tab order, focus visibility, focus trapping, and focus restoration.
- Missing or incorrect accessible names, labels, descriptions, and ARIA attributes.
- Colour contrast, text legibility, touch-target sizes, zoom behaviour, reduced-motion support, and reliance on colour alone to communicate meaning.
- Screen-reader behaviour for modals, menus, dropdowns, tabs, toasts, validation errors, loading states, and dynamically updated content.
- Forms with unclear instructions, inaccessible validation, missing autocomplete attributes, or poor error recovery.
- Test against WCAG 2.2 AA expectations where applicable.
Visual and interaction consistency
- Inconsistent spacing, typography, colour usage, border radii, shadows, icon sizing, alignment, component dimensions, and responsive behaviour.
- Components that visually appear identical but behave differently, or behave identically but are implemented inconsistently.
1/2
🚨BREAKING NEWS! 🚨
Ben Shapiro just confessed on his show that while Charlie was being transported to the hospital and bleeding out to death, his security was on the phone with Charlie’s security receiving updates.
I knew it.
I knew it.
I knew it
Someone explain to me why during the minutes while Charlie was DYING in the back seat of the car— Charlie’s security team was providing updates to Ben Shapiro’s team rather than focusing entirely on saving Charlie’s life and finding the killer?
I will remind you all that Brian Harpole— one of the security members who was IN that car en route to the hospital, is currently suing me and is using BEN SHAPIRO’S lawyer who has sued me relentlessly on Ben’s behalf for the last 3 years.
@benshapiro hated Charlie. EVERYONE knew that. So why the hell was this demon receiving updates in the mere minutes after Charlie was hit, en route to the hospital?!!
WHO ON CHARLIE’S SECURITY TEAM BETRAYED HIM IN THIS WAY?!
EVERYTHING Ben did following the assassination made my alarm bells go off.
I have told you guys that there is something about the Daily Wire and their relentlessly stalking of me following my firing that has made me feel altogether unsafe. I have felt their obsessive focus on destroying me is deranged and increasingly dangerous.
What did Andrew Kolvet mean when he told me “it was supposed to be you?”
Why did Turning Point betray Charlie so quickly by allowing Ben to open at Amfest after declaring immediately that he would “pick up Charlie’s blood mic”?
Why didn’t Ben mention this before today that he was receiving status updates while Charlie was bleeding out?
I clocked that Ben was TOO invested in this. His energy on stage DEMANDING that Megyn Kelly call me evil and his overprotective stance on Erika always registered to me as deeply nervous.
Ben Shapiro is Satanic. Everything in my soul tells me he worships Satan, literally. Look at his demeanor in this clip.
We need to find out exactly who on Charlie’s team betrayed him by providing immediate updates to this parasite.
Share far and wide.
الفيدو دة الفيفا عمال تستخدم حقوق الملكية الفكرية وتمسحة من مواقع التواصل علشان تمحي آثار الجريمة. انشروا الفيديو في كل مكان قبل ما يختفي. خلوه يوصل لكل الناس فيصعب مسحة.
Elon Musk just put a price tag on obedience. It costs $200,000.
Musk: “You don’t need college to learn stuff. Everything is available basically for free. You can learn anything you want for free.”
Every lecture. Every textbook. Every framework ever written. Free on any screen in any country right now. The entire knowledge monopoly collapsed in a decade. Nobody updated the price tag.
Musk: “Colleges are basically for fun and to prove you can do your chores. But they’re not for learning.”
Strip the ivy and the branding. What’s underneath is a four-year obedience trial. Can this person follow instructions on a schedule without asking why.
Musk: “There is a value that colleges have, which is seeing whether somebody can work hard at something, including a bunch of annoying homework assignments, and still do their homework assignments.”
That is the entire six-figure value proposition. Not what you know. Not what you can build. Whether you can be managed. The establishment doesn’t need you educated. It needs you domesticated.
Musk: “If you’re trying to do something exceptional, you must have evidence of exceptional ability. I don’t consider going to college evidence of exceptional ability.”
The system doesn’t produce exceptional. It produces manageable. It takes the most creative years of your life and teaches you to wait for instructions. That is not education. That is containment.
Musk: “Gates is a pretty smart guy, he dropped out. Jobs is pretty smart, he dropped out. Larry Ellison, smart guy, he dropped out.”
They didn’t leave because they couldn’t keep up. They left because the ceiling was underground.
8 billion people now carry the same library in their pocket. The one these institutions charged a lifetime of debt to access.
The only product the university still sells is the belief that you need one.
That time when an unarmed Iranian ship was invited to take part in an Indian naval exercise alongside the United States.
Its sailors were welcomed on land and paraded before Indian President Modi as a gesture of respect.
Then, at the last moment, the United States suddenly abruptly withdrew from the exercise,only to wait and torpedo the very ship it had just stood beside.
What followed was even more grotesque.
After attacking an unarmed vessel, the US refused to rescue the sailors it had blown into the sea, abandoning them to drown.
The grim work of recovering bodies was left to the Sri Lankan Navy.
This wasn’t warfare,it was treachery of the most disgraceful kind: an ambush carried out under the pretense of diplomacy, followed by a cold refusal to show even the most basic human decency to the dying.
It would represent a collapse of every norm that supposedly governs civilized conduct at sea.
And yet, instead of outrage, much of the American media response has been indifference or rationalization.
The bombing of a girls’ school is brushed aside; talk of carpet-bombing Tehran is floated as if it were just another policy option.
When atrocities are normalized and cruelty is laundered into “strategy,” the line between reporting and complicity begins to disappear......
GLM 5.2 built a full live trading desk for $0.03.
Fugu Ultra did it better for $0.51.
17x the cost. The price-to-quality debate just got a lot more complicated.
A senior Google engineer just dropped a 19-page PDF on "Loop Engineering" for LLM and agentic systems.
Act → Observe → Learn → Repeat
• Act: the LLM proposes a code transformation (tile this loop, parallelize that one).
• Observe: a compiler runs it and reports back - is it valid? faster? slower? by how much?
• Learn: the LLM reads that feedback and adjusts its next move.
• Repeat until it stops finding improvements.
The agent gets smarter purely from grounded feedback inside its own context window.
This 19-page PDF totally changed the way I’m building agentic systems today.
Read it now, then explore the article below.
his “AI server” is 4 mac minis stacked next to the toaster
linked by free software into one machine that runs 235B models no single computer could load
regulated clients pay him $3,500/month each to use it
he has 6 of them
that’s $21k/month from a tower of silver boxes in his kitchen
the stack runs exo - open-source, $0, turns four separate minis into one pool of memory. the monitor shows all four nodes firing together, one model spread across the whole cluster
the thing nobody tells you about local AI:
a model either fits in your machine’s memory or it doesn’t run. that’s the wall everyone hits. it’s why people assume serious AI means a $40k server
exo walks straight through that wall. it splits one massive model across every box in the chain. four minis at $599 each suddenly run what a single high-end machine can’t touch
and the people who need this aren’t chasing the newest model
they’re the ones the cloud locked out:
→ a law firm with privileged case files
→ a medical practice under HIPAA
→ an accounting firm holding client financials
they need AI nowhere near a third-party server. a stack they can point to during an audit ends every objection
their models run on his cluster. the data never leaves equipment he controls
the breakdown:
→ 4 mac minis: $2,400 total
→ exo software: $0
→ electricity: ~$25/month
→ what he charges per client: $3,500/month
→ 6 active clients
the kitchen stack paid for itself in the first 3 weeks
month 1: 2 clients, $7k
month 3: 4 clients, $14k
month 6: 6 clients, $21k
he’s not running a startup with an office and a logo
he’s running four silver boxes between the coffee machine and a bowl of fruit, clearing $21k/month from hardware that cost $2,400
clients picture racks and cooling fans
reality is four minis humming next to where he makes breakfast
the cloud companies charge a fortune for compute and access to your own
he charges $3,500 a month for the one thing they can’t sell - a machine that never phones home
🚨 BREAKING NEWS: AI CAN NOW BUILD TRADING ALGORITHMS LIKE GOLDMAN SACHS' ALGORITHMIC TRADING DESK (FOR FREE).
HERE ARE 10 INCREDIBLE CLAUDE PROMPTS THAT REPLACE $500K/YEAR QUANT STRATEGIES (SAVE FOR LATER)