Welcome & The Vibe-Coding Mindset

Understanding the paradigm shift that transforms how you build trading tools

Session Overview

20 minutes

What "Vibe Coding" Actually Is

Describe your trading ideas in plain English. AI turns them into working automations, scripts, dashboards, or mini-apps. No coding required. Transform your trading knowledge into functional tools.

Vibe Coding Flowchart

Why Traders Love It

Traditional software development is slow, expensive, and technical. Vibe coding flips this model, giving you direct control over your tools.

  • 10× Faster: Weeks become hours. Prototype and iterate on trading strategies in real-time.
  • No Dev Costs: Stop paying developers. Build exactly what you need, when you need it.
  • No Waiting: Build what you want instantly. Adapt to market changes immediately.
  • Rapid Iteration: Test ideas instantly. Modify and redeploy in minutes, not months.

Real Trader Wins

Build tools previously only available to hedge funds with dedicated teams. Six real-world applications:

Auto-Pull Stock Data

Fetch daily prices and sentiment for your watchlist. Stop manual copy-pasting data every morning.

Portfolio Rebalancer

Auto-calculate trade signals for rebalancing. Maintain your target allocation without spreadsheets.

Earnings Alert Bot

Get notified when watchlist companies announce earnings. Never miss a date or market reaction.

Simple Backtester

Test strategies against historical data. Validate ideas before risking real money.

Dashboard

Custom dashboard showing all your metrics. Combine prices, indicators, news, and portfolio data.

AI Consensus

Aggregate opinions from multiple AI sources. Get consensus views on stock picks and market direction.

Trading Dashboard Example

Your Mindset Shift

You're no longer just a trader. You're now the product owner, and Claude is your junior developer who never sleeps. You describe the vision; Claude builds it.

Before: Great idea → Look for software → Nothing matches → Compromise or pay developer → Weeks/months later.

After: Great idea → Describe to Claude → Claude builds it in minutes → You test → You refine → Custom tool ready.

New Relationship: Product Owner and Junior Developer

Your new reality: Don't become a programmer. Become a clear communicator of your trading logic. The AI handles implementation. You provide domain expertise and strategy.

Key Takeaways

  • Vibe coding = plain English + AI = working tools
  • 10× faster, no dev costs, no waiting
  • You = product owner, Claude = junior dev
  • Six applications: data fetcher, rebalancer, alerts, backtester, dashboard, AI consensus
  • Your job: communicate logic clearly. Claude's job: implement it

Claude's 3-Stage Power System

Mastering Chat, Cowork, and Code modes for maximum productivity

Session Overview

45 minutes

Claude feels like having a full development team in one window. You control which stage to use – start in Chat, escalate to Cowork, then go full Code when you want a finished tool. This flexibility means you're never overpowered or underwhelmed; you get exactly the right level of assistance for each task.

Claude Interface

The Three Modes Explained

Claude operates in three distinct modes. Think of it like having access to a consultant, collaborator, and full development team all in one place. Understanding when to use each mode is key to maximizing productivity.

Claude 3-Stage System

Stage 1 – Chat = Consultant Service

Quick expert advice, explanations, brainstorming. Perfect for getting unstuck or understanding concepts. Like having a knowledgeable trading consultant available 24/7.

When to use Chat:

  • Understanding new indicators or concepts
  • Brainstorming strategy ideas
  • Getting unstuck on problems
  • Explaining complex topics simply
  • Quick research questions
Act as my trading consultant – explain Bollinger Bands and when to use them in plain English
LIVE DEMO: Quick consultation example

Stage 2 – Cowork = Automate Workflow

Step-by-step collaboration with memory. Building small automations together. Claude remembers context and builds iteratively. Like having a capable junior developer sitting next to you.

When to use Cowork:

  • Building multi-step automations
  • Iterating on existing code
  • When you want to be involved in process
  • Complex tasks needing guidance
  • Learning while building
Cowork with me – turn my Excel watchlist into an automated RSI + volume spike alert workflow
LIVE DEMO: Building an alert workflow together

Stage 3 – Code = Building System

Full agent mode: plans, writes, debugs, and delivers complete working systems. Claude handles everything from architecture to deployment. Like having a full development team at your disposal.

When to use Code:

  • Complete projects from scratch
  • Complex systems with multiple components
  • When you want Claude to handle everything
  • Production-ready implementations
  • Full-stack applications
Build me an entire portfolio dashboard system that pulls live prices, runs my custom strategy, and emails daily signals
LIVE DEMO: Complete dashboard system

Pro Tip: Progressive Escalation

Start in Chat mode, escalate to Cowork as you get more specific, then move to Code mode when ready for a finished product. Progressive escalation ensures you're always using the right tool for the job.

Example workflow:

  1. Chat: "What's the best way to create a trading journal?" (Research and ideas)
  2. Cowork: "Help me build a simple journal that tracks trades and calculates P&L" (Iterative building)
  3. Code: "Create a full trading journal system with charts, reports, and cloud backup" (Complete system)

Key Takeaways

  • Stage 1 (Chat): Quick questions, explanations, brainstorming
  • Stage 2 (Cowork): Step-by-step building with memory
  • Stage 3 (Code): Full system planning and development
  • Start low, escalate up as needed
  • Progressive escalation is most effective workflow

Basic Programming Concepts

You only need 5% of this to vibe code effectively

Session Overview

30 minutes

Super high-level only – no jargon overload. You only need 5% of programming knowledge to vibe code effectively. The goal: understand enough to communicate with your AI partner.

The Trader-Programmer Translation Guide

Programming concepts sound intimidating, but when translated into trading terms, they become intuitive. Here's your cheat sheet:

Variables

Think of variables as labeled boxes where you store data. In trading, you're constantly dealing with data – stock prices, portfolio values, indicators, trade quantities. Variables are how computers remember this data.

  • In trading: Your watchlist, portfolio size, current price, RSI value, number of shares
  • In code: `stock_symbol = "AAPL"`, `shares = 100`, `current_price = 178.50`
  • Why it matters: Helps you give Claude clear instructions about what data to track

Loops

Doing the same thing multiple times automatically. This is powerful for traders because you often need to apply the same analysis across multiple stocks, timeframes, or days.

  • In trading: Checking every stock for signals, calculating indicators for each day, applying strategy to multiple positions
  • In code: "For each stock in my list, check if RSI is low", "Loop through last 30 days to calculate moving average"
  • Why it matters: Loops turn manual tasks into automated processes that work at scale

Functions

Reusable pieces of code that do one specific job. Think of functions as pre-built calculators or tools you can use repeatedly with different inputs.

  • In trading: "Calculate RSI" for every stock, "Calculate position size" for every trade, "Calculate stop loss" consistently
  • In code: A function you can call with any stock price to get RSI, a function that takes risk amount to suggest position size
  • Why it matters: Functions ensure consistency and make code easier to maintain. Change one place, updates everywhere

If-Statements

Making decisions based on conditions. This powers trading strategies – it's the "if this, then that" logic that determines when to buy, sell, or hold.

  • In trading: "If price crosses above $200, then buy", "If RSI drops below 30, look for reversal", "If earnings are positive, consider position"
  • In code: `if price > 200: buy()`, `if rsi < 30: check_for_reversal()`
  • Why it matters: If-statements encode your trading strategy into rules a computer can execute automatically

Think Like a Trader: Data → Logic → Output

At its core, all trading follows this pattern: you have data, you apply logic (your strategy), and you get output (decisions). Programming follows the exact same pattern.

  • Data: Stock prices, volume, news, indicators, your portfolio
  • Logic: Your trading strategy, entry/exit rules, risk management
  • Output: Buy/sell signals, position sizes, portfolio allocations, alerts
LIVE DEMO: Ask Claude to explain any concept in 10 seconds

You Don't Need to Be an Expert

The beauty of vibe coding: you don't need to master these concepts. Understand them well enough to explain what you want to Claude. When in doubt, describe it in plain English: "I want to check all my stocks and send me an alert if any are cheap." Claude figures out the loops, conditions, and data structures.

Key Takeaways

  • Variables = labeled data storage
  • Loops = repeat actions across multiple items
  • Functions = reusable tools/calculators
  • If-statements = conditional actions (your trading logic)
  • Data → Logic → Output (the universal pattern)
  • Understand enough to communicate, not enough to code from scratch

Automation Superpowers

Hands-on building your first automations

Session Overview

50 minutes

Hands-on! Automate what you do manually in Excel/Google Sheets. Transform repetitive tasks into automated workflows that run in the background, freeing you to focus on analysis and decision-making.

Fetch Market Data (Free & Paid APIs)

The foundation of trading automation is data. Numerous free APIs provide real-time and historical market data. These APIs feed your automated tools with the information they need.

Popular Data Providers:

Alpha Vantage
Yahoo Finance
Financial Modeling Prep
EOD Historical Data
Massive

What you can get:

  • Real-time prices: Current stock prices, volume
  • Historical data: Daily, weekly, intraday prices
  • Fundamentals: Earnings, balance sheets, income statements
  • Technical indicators: Moving averages, RSI, MACD
  • Crypto data: Real-time and historical prices from CoinGecko, CoinMarketCap

How to start:

Most free APIs require signup for an API key. Use Claude to write code that fetches data. You don't need to learn API documentation – just tell Claude what data you want, it figures out how to get it.

Simple Analysis & Alerts

Once you have data, analyze it and get alerts when something important happens. This automates your trading strategy – define conditions, system watches 24/7.

RSI Alert

Notify when RSI drops below 30 (oversold) or above 70 (overbought). Catch potential reversals early.

MACD Crossover

Alert when MACD line crosses signal line. Reliable momentum indicator for timing entries and exits.

Volume Spike

Detect unusual trading volume – potential news or breakout. Sudden volume changes precede price movements.

MA Crossover

Golden cross and death cross alerts. Classic trend-following signals across all timeframes.

Price Change Alert

Notify when stock moves by percentage. Catch breakouts and crashes as they happen.

Earnings Reminder

Never miss earnings. Get alerts before earnings and after results release.

Portfolio Tracker from Broker CSV

Export holdings, manually track in spreadsheet. Build system that does it all automatically.

What to automate:

  • Real-time value: Fetch prices and calculate total portfolio value
  • Gain/loss: Track realized and unrealized P&L
  • Sector allocation: See diversification across sectors
  • Risk metrics: Calculate beta, concentration risk, position sizing
  • Performance: Compare returns to benchmarks
  • Dividend tracking: Track dividend income and yield

Trading Journal Integration:

Trade Metria
TraderSync
TradeZella
Trading Journal Integration

News + Sentiment Digest

Information overload is real. Every day, hundreds of articles compete for attention. AI reads all content and delivers concise summaries.

What Claude can do:

  • Aggregate headlines: Pull from multiple sources (Yahoo Finance, Bloomberg, Reuters, Seeking Alpha)
  • Filter relevance: Identify headlines that matter for your watchlist
  • Sentiment analysis: Classify articles as bullish, bearish, or neutral
  • Key themes: Identify common themes across sources (e.g., AI regulation)
  • Actionable insights: Summarize information to help trading decisions
📰 NEWS DIGEST - March 15, 2026

🟢 AAPL: Bullish sentiment (78% positive)
   - Strong iPhone 18 pre-orders reported
   - Analyst upgrades from Morgan Stanley and Goldman Sachs
   - New chip partnership announced with NVIDIA

🔴 TSLA: Bearish sentiment (62% negative)
   - Production delays at new Berlin plant
   - Increased competition in Chinese EV market
   - CEO tweet causes short-term volatility

🟡 NVDA: Mixed sentiment (55% neutral)
   - Strong data center demand
   - Concerns about AI chip oversupply

Key Themes: AI chip demand, EV market competition, Apple product cycle
Claude News and Sentiment Analysis
LIVE DEMO: Build your first automation together
Help me build a simple script that:
1. Fetches daily prices for my watchlist
2. Calculates RSI for each stock
3. Sends me an email alert if any stock's RSI is below 30

Getting Started

The hardest part is starting. Simple progression to get comfortable:

  1. Start small: Pick one simple task (e.g., checking price of one stock)
  2. Describe to Claude: "I want to get an alert when AAPL is above $200"
  3. Test it: Run automation and verify it works
  4. Iterate: "Now do the same for my whole watchlist"
  5. Expand: Add more conditions, stocks, complexity as you get comfortable

Key Takeaways

  • Free APIs provide all data you need (Alpha Vantage, Yahoo Finance, FMP, EOD, Massive)
  • Automate RSI, MACD, volume alerts, MA crossovers easily
  • Transform broker CSVs into actionable insights with real-time updates
  • Claude can summarize news at scale and provide sentiment analysis
  • Integrate with trading journal platforms (Trade Metria, TraderSync, TradeZella)
  • Start small, iterate, expand – don't try to automate everything at once

Big-Picture Architecture

How real apps are built – in trader terms

Session Overview

30 minutes

Understanding modern application architecture in simple terms. No CS degree needed – just practical knowledge of how trading tools are built.

The Four Key Components

Every modern trading application has four main parts. Understanding these helps you communicate what you want and make better architectural decisions.

Front-end

What you see – The dashboard, charts, buttons, and interface. What users interact with directly.

Back-end

The brain – Servers, calculations, data processing, business logic. Does the heavy lifting.

Database

Storage – Your watchlist, trade history, settings. Persistent storage for everything.

API Endpoints

Connectors – "Give me AAPL price", "Save this trade", API calls that connect everything.

How Claude Builds Systems

Claude can generate an entire stack for you. You describe what you want, and Claude handles:

  • Architecture planning: How components connect and communicate
  • Front-end development: Building the user interface
  • Back-end implementation: Server logic and calculations
  • Database design: Structuring your data
  • API integration: Connecting to external services

Architecture Diagram

Visual representation of a typical trading application:

Architecture Diagram
graph TB User[You/User] -->|Dashboard| FE[Front-End] FE -->|API Requests| BE[Back-End] BE -->|Query| DB[(Database)] BE -->|Fetch Data| EXT[External APIs
Yahoo Finance, Alpha Vantage] BE -->|Send Alert| NOTIF[Email/SMS Alerts] DB -->|Save Trades| FE EXT -->|Market Data| BE
LIVE DEMO: Build a simple web dashboard
Build me a simple web dashboard that shows my portfolio + AI sentiment

Requirements:
- Display my current portfolio with real-time prices
- Show AI sentiment analysis for each holding
- Include a chart of portfolio performance over time
- Make it look clean and professional

Key Takeaways

  • Front-end = what you see (dashboard, interface)
  • Back-end = the brain (calculations, logic, processing)
  • Database = storage (watchlist, history, settings)
  • API endpoints = connectors between components
  • Claude can generate entire stack – you describe, Claude builds

Working with IDEs

VS Code, Cursor, and Antigravity – when to use which

Session Overview

30 minutes

Why you need an editor even when using AI. The right IDE makes vibe coding 10× more efficient by providing better code organization, debugging tools, and seamless integration with AI assistants.

Why You Need an Editor

  • Better organization: Keep your projects structured and manageable
  • Debugging tools: Find and fix errors quickly
  • Code completion: Write code faster with intelligent suggestions
  • Version control: Track changes and collaborate easily
  • AI integration: Seamless access to AI coding assistants

VS Code + Claude Extension

Free, most popular IDE with powerful Claude integration. Perfect for most vibe coding needs.

VS Code
Cursor
Antigravity

Features:

  • Free and open-source
  • Huge ecosystem of extensions
  • Official Claude extension available
  • Built-in debugging and terminal
  • Great documentation and community

When to use VS Code:

  • Starting out with vibe coding
  • Need to integrate with other tools
  • Working with existing projects
  • Learning standard development practices

Cursor – The AI-First Editor

VS Code fork with AI built-in from the ground up. Designed specifically for AI-assisted coding.

Features:

  • Built-in AI code completion and generation
  • Intelligent code refactoring suggestions
  • Better context awareness for AI
  • Familiar VS Code interface
  • Optimized for AI workflows

When to use Cursor:

  • Wanting the best AI-assisted experience
  • Heavy focus on AI-powered development
  • Comfortable with VS Code but want more AI
  • Building complex AI applications

Antigravity – Google's Agent-First IDE

Google's new experimental IDE built around AI agents. Different approach to AI-assisted coding.

Features:

  • Agent-based development model
  • Built specifically for AI workflows
  • Advanced AI collaboration features
  • Google ecosystem integration
  • Experimental and evolving rapidly

When to use Antigravity:

  • Interested in cutting-edge AI development
  • Wanting to experiment with agent-based coding
  • Already in Google ecosystem
  • Comfortable with beta software
LIVE DEMO: One-click setup walkthrough

Quick Setup Guide

  1. Download: Get VS Code from code.visualstudio.com
  2. Install Claude extension: Search for Claude in Extensions marketplace
  3. Sign in: Connect your Claude account
  4. Create your first project: File → Open Folder
  5. Start coding: Use Claude extension or web interface

Running, Debugging, and Improving Code

Once your code is written, your IDE helps you run it, find errors, and improve it:

  • Run code: Use the terminal or built-in run buttons
  • Debug: Set breakpoints, inspect variables, step through code
  • Improve: Ask Claude to refactor, optimize, or extend functionality
  • Test: Write and run test cases to ensure code works correctly

Key Takeaways

  • VS Code: Free, popular, great Claude integration
  • Cursor: AI-first version of VS Code, optimized for AI
  • Antigravity: Google's agent-first IDE, experimental
  • Start with VS Code, try Cursor if you want more AI
  • IDE provides organization, debugging, and AI integration

Claude Alternatives

Comparison table and when to switch

Session Overview

15 minutes

Understanding the landscape of AI coding assistants. While Claude is our primary tool, knowing alternatives helps you make informed decisions and choose the right tool for each situation.

Comparison Table

AI Assistant Speed Cost Strengths Best For
Claude Fast Free tier available, reasonable pricing Excellent code quality, strong reasoning, great for trading logic Overall vibe coding, complex projects
CodeX (OpenAI) Fast Pay-as-you-go Strong code generation, multi-language support Quick code generation, debugging
Z.AI Very Fast Competitive Speed, specialized coding tasks Rapid prototyping, quick tasks
Kimi Fast Competitive Good at context-heavy tasks, Chinese support Large codebases, international users
Alibaba CodePlan Fast Enterprise pricing Enterprise features, governance, compliance Enterprise projects, large teams

Detailed Breakdown

AI Assistant Logos:

Claude
CodeX
Z.AI
Kimi
Alibaba CodePlan

Claude

Best Overall

Excellent for vibe coding with strong reasoning, great code quality, and deep understanding of context. Particularly good at complex trading logic and maintaining conversation history across sessions.

Strengths:

  • Superior code quality and reasoning
  • Excellent at maintaining context across long conversations
  • Strong understanding of complex business logic
  • Great for trading strategy implementation
  • Good balance of speed and accuracy

When to use:

  • Complex trading strategy implementation
  • Projects requiring deep understanding of requirements
  • Multi-step workflows with context retention
  • When code quality is critical

Pricing: Free tier available, Pro at $20/month

CodeX (OpenAI)

OpenAI's Coding Assistant

OpenAI's AI coding assistant, similar to Claude Code. Trained on vast code repositories and excels at generating, debugging, and explaining code across many languages.

Strengths:

  • Strong code generation across many languages
  • Excellent at debugging and fixing code
  • Good at explaining code logic
  • Integrated with OpenAI's ecosystem
  • Fast and responsive

When to use:

  • When you need multi-language support
  • Debugging complex code issues
  • Explaining how code works
  • Already using OpenAI tools

Limitations:

  • May not match Claude's context retention
  • Different safety guardrails than Claude

Pricing: Pay-as-you-go; check OpenAI for current rates

Z.AI

Speed Specialist

Focuses on rapid code generation and specialized coding tasks. Excellent for quick prototypes and simple implementations where speed is the priority.

Strengths:

  • Very fast code generation
  • Good at specific coding patterns
  • Quick response times
  • Solid for common programming tasks

When to use:

  • Rapid prototyping
  • Simple, well-defined coding tasks
  • When speed is more important than depth
  • Learning coding patterns quickly

Limitations:

  • May struggle with complex reasoning
  • Less context retention than Claude

Pricing: Competitive; check their website for current rates

Kimi

Context Specialist

ByteDance's AI assistant with strong performance on context-heavy tasks. Good for understanding and working with large codebases.

Strengths:

  • Good at handling large amounts of context
  • Strong performance on codebase analysis
  • Good for international users
  • Competitive pricing

When to use:

  • Working with large existing codebases
  • Need to understand complex project structures
  • International users (Chinese support)
  • Context-heavy coding tasks

Limitations:

  • May not match Claude's trading logic understanding
  • Less established in English markets

Pricing: Competitive; check their website for current rates

Alibaba CodePlan

Enterprise-Grade

Designed for enterprise users with robust features, strong integration, and compliance-focused development. Good for businesses and enterprise projects.

Strengths:

  • Enterprise-grade features and security
  • Good integration with Alibaba's cloud services
  • Strong compliance and governance features
  • Suitable for large teams and organizations

When to use:

  • Enterprise projects with compliance requirements
  • Large team development
  • Integration with Alibaba Cloud services

Pricing: Enterprise pricing; contact Alibaba for details

Key Takeaways

  • Claude: Best overall for vibe coding and complex trading logic
  • CodeX: Strong code generation, good for quick tasks
  • Z.AI: Very fast, good for simple tasks
  • Kimi: Good for large codebases and international users
  • Alibaba CodePlan: Enterprise features, large teams
  • Start with Claude, explore others based on specific needs

Wrap-Up & Next Steps

Limitations, resources, and your next projects

Session Overview

20 minutes

Congratulations! You now have the knowledge and tools to start vibe coding your trading automations. Let's cover limitations, safety considerations, and your next steps.

Limitations & Safety

While vibe coding is powerful, it's important to understand its limitations and follow safety best practices.

Never paste real money API keys:

  • Never share your broker API keys with any AI assistant
  • Use sandbox/test environments when possible
  • Rotate API keys regularly
  • Use environment variables for sensitive data

AI Limitations:

  • May produce code that needs debugging
  • Can hallucinate or make mistakes
  • Not infallible – always review generated code
  • May not know your specific broker's API quirks

Safety First

Always test automations with small amounts first. Never trust AI blindly with your capital.

Test Thoroughly

Backtest strategies thoroughly. Validate automations with paper trading before going live.

Review Everything

Always review AI-generated code. Understand what it does before running it.

Best Next 3 Projects for Traders

Ready to start building? Here are three beginner-friendly projects to get you started:

Project 1: Watchlist Price Fetcher

Difficulty: Beginner

  • Fetch daily closing prices for your watchlist
  • Store prices in a simple database or spreadsheet
  • Send daily email summary
  • Skills: API calls, data storage, email automation

Project 2: RSI Alert Bot

Difficulty: Intermediate

  • Calculate RSI for watchlist stocks
  • Send alerts when RSI is below 30 or above 70
  • Add volume spike detection
  • Skills: Technical indicators, automation, alerts

Project 3: Simple Portfolio Dashboard

Difficulty: Intermediate

  • Build a web dashboard showing your portfolio
  • Display real-time prices and P&L
  • Show sector allocation breakdown
  • Skills: Front-end, back-end, real-time data

Resources & Community

Essential Resources

  • Claude Documentation: docs.anthropic.com – official Claude documentation
  • Tailwind CSS: tailwindcss.com – for building beautiful dashboards
  • Python for Finance: O'Reilly books, online courses
  • QuantConnect: quantconnect.com – algorithmic trading platform
  • TradingView: tradingview.com – charting and Pine Script

Free APIs to Explore

  • Alpha Vantage: Free stock market data, 25 calls/day
  • Yahoo Finance: Unofficial but widely used, generous limits
  • Financial Modeling Prep: Free tier available
  • CoinGecko: Free cryptocurrency data

Community & Support

  • Reddit: r/algotrading, r/learnprogramming
  • Discord: Various trading and coding communities
  • Twitter: Follow #algotrading, #vibecoding
  • GitHub: Explore open-source trading projects

AI Limitations (In Pictures)

Understanding when AI might struggle:

Hallucinations

AI can confidently state things that aren't true. Always verify facts and code.

Context Limits

Large codebases may exceed context limits. Break projects into smaller pieces.

Bugs

Generated code may have bugs. Test thoroughly and debug systematically.

A Reality Check (Just for Laughs!)

When you're vibe coding, keep these sarcastic truths in mind:

The Blind Approval

The "Looks Good to Me" Moment

When the AI gives you 200 lines of complex code you absolutely don't understand, but you click "Accept" anyway because it has a cool function name. 🤷‍♂️

AI Proud Fix

The "Fixed It!" Flex

AI breaks your code, then proudly announces "Fixed the bug I introduced in the previous message." It's like hiring a contractor who sets your house on fire then charges you to rebuild it. 🔥🚒

Power Without Knowledge

The "I Have No Idea What I'm Doing" Power Trip

"Build me a neural network to predict stock prices using quantum mechanics." You have no idea what that means, the AI has no idea what that means, but now you're trading with it. 📉🚀

Key Takeaways

  • Never paste real API keys – use test environments
  • Always test thoroughly before going live with real money
  • Review AI-generated code before running it
  • Start with simple projects: price fetcher, RSI bot, dashboard
  • Use free APIs: Alpha Vantage, Yahoo Finance, CoinGecko
  • Join communities: Reddit, Discord, GitHub for support
LIVE DEMO: Q&A Session – Ask Anything!

Additional Resources

Everything you need to continue your vibe coding journey

Essential Tools & APIs

Claude

claude.ai – Your primary AI coding assistant

VS Code

code.visualstudio.com – Free, powerful IDE

Tailwind CSS

tailwindcss.com – Build beautiful dashboards

Alpha Vantage

alphavantage.co – Free stock market data API

SQLite

sqlite.org – Simple, powerful database

Python

python.org – Versatile programming language

Learning Path

  1. Start: Build a simple price fetcher for your watchlist
  2. Progress: Add technical indicators and alerts
  3. Advanced: Build a portfolio dashboard
  4. Expert: Implement full trading strategy automation

Community Support

You're not alone! Join communities of traders and developers who are vibe coding:

  • Reddit: r/algotrading, r/learnprogramming
  • Discord: Various trading and coding communities
  • GitHub: Explore open-source trading projects
  • Twitter: Follow #vibecoding, #algotrading