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I Built a ₹1 Lakh AI Trading System Using Codex CLI + TradingView MCP (Part 2)
This is Part 2 of the Codex CLI + TradingView series — and this
one is a complete game changer for your trading journey.
Github repo - https://github.com/LewisWJackson/tradingview-mcp-jackson.git
In Part 1, I showed you how to install Codex CLI and connect it
to TradingView at a basic level. In this video, we go deeper —
we use MCP (Model Context Protocol) to give Codex full control
over TradingView. That means you can give plain English commands
and it will draw support/resistance, add indicators, change
timeframes, analyze charts, and eventually build full strategies
for you.
🔧 What is MCP?
MCP (Model Context Protocol) is what allows your LLM (in this
case, Codex CLI) to directly interact with external applications
— like TradingView. Once connected, Codex can perform actions
inside TradingView using natural language instructions.
🎯 What You'll Learn in This Video:
→ What MCP is and why it matters for AI + trading
→ Step-by-step requirements: folder setup, VS Code, Codex CLI
→ How to download and set up the TradingView MCP repository
→ How to connect Codex to TradingView via MCP
→ Live demos: drawing support/resistance, adding 9 EMA,
changing timeframes — all with English prompts
→ Security considerations with the open-source MCP repo
→ What's coming in Part 3 — building actual strategies +
broker integration
💰 The End Goal:
A fully automated AI trading system running on ₹1 Lakh capital
that builds strategies on its own, executes trades on your
broker (Dhan), and sends you live updates on Telegram/WhatsApp.
We're building toward that — step by step.
⚙️ Requirements (Set These Up First):
1. A dedicated folder on your Mac/Windows
2. VS Code installed
3. Codex CLI installed (link below)
4. TradingView Desktop app (logged in)
All download links are in the comments and pinned comment.
🚀 Your Task to Unlock Part 3:
Once you finish the setup and get your first AI command working
on TradingView:
✅ Comment "DONE" on this video
✅ Post a screenshot on your Instagram story
✅ Tag @algo.sid and link this YouTube video
Tags:
#CodexCLI #OpenAI #TradingView #MCP #AlgoTrading #AITrading
#PythonTrading #TradingBots #AIAgents #TradingAutomation
#AlgoSid
Timestamps:
0:00 Intro — Part 2 of the series
0:30 Recap of Part 1
1:00 What is Codex CLI? (Quick explainer)
1:30 What is MCP and why it matters
2:00 Live example: Opening Reliance chart with one prompt
2:30 Requirements: folder, VS Code, Codex CLI, TradingView Desktop
3:30 Downloading the TradingView MCP repository
4:30 Connecting Codex to TradingView via MCP
5:30 Live demos: support/resistance, 9 EMA, timeframe changes
6:30 Security considerations
7:00 Your task — unlock Part 3
Видео I Built a ₹1 Lakh AI Trading System Using Codex CLI + TradingView MCP (Part 2) канала Siddharth Tiwari
one is a complete game changer for your trading journey.
Github repo - https://github.com/LewisWJackson/tradingview-mcp-jackson.git
In Part 1, I showed you how to install Codex CLI and connect it
to TradingView at a basic level. In this video, we go deeper —
we use MCP (Model Context Protocol) to give Codex full control
over TradingView. That means you can give plain English commands
and it will draw support/resistance, add indicators, change
timeframes, analyze charts, and eventually build full strategies
for you.
🔧 What is MCP?
MCP (Model Context Protocol) is what allows your LLM (in this
case, Codex CLI) to directly interact with external applications
— like TradingView. Once connected, Codex can perform actions
inside TradingView using natural language instructions.
🎯 What You'll Learn in This Video:
→ What MCP is and why it matters for AI + trading
→ Step-by-step requirements: folder setup, VS Code, Codex CLI
→ How to download and set up the TradingView MCP repository
→ How to connect Codex to TradingView via MCP
→ Live demos: drawing support/resistance, adding 9 EMA,
changing timeframes — all with English prompts
→ Security considerations with the open-source MCP repo
→ What's coming in Part 3 — building actual strategies +
broker integration
💰 The End Goal:
A fully automated AI trading system running on ₹1 Lakh capital
that builds strategies on its own, executes trades on your
broker (Dhan), and sends you live updates on Telegram/WhatsApp.
We're building toward that — step by step.
⚙️ Requirements (Set These Up First):
1. A dedicated folder on your Mac/Windows
2. VS Code installed
3. Codex CLI installed (link below)
4. TradingView Desktop app (logged in)
All download links are in the comments and pinned comment.
🚀 Your Task to Unlock Part 3:
Once you finish the setup and get your first AI command working
on TradingView:
✅ Comment "DONE" on this video
✅ Post a screenshot on your Instagram story
✅ Tag @algo.sid and link this YouTube video
Tags:
#CodexCLI #OpenAI #TradingView #MCP #AlgoTrading #AITrading
#PythonTrading #TradingBots #AIAgents #TradingAutomation
#AlgoSid
Timestamps:
0:00 Intro — Part 2 of the series
0:30 Recap of Part 1
1:00 What is Codex CLI? (Quick explainer)
1:30 What is MCP and why it matters
2:00 Live example: Opening Reliance chart with one prompt
2:30 Requirements: folder, VS Code, Codex CLI, TradingView Desktop
3:30 Downloading the TradingView MCP repository
4:30 Connecting Codex to TradingView via MCP
5:30 Live demos: support/resistance, 9 EMA, timeframe changes
6:30 Security considerations
7:00 Your task — unlock Part 3
Видео I Built a ₹1 Lakh AI Trading System Using Codex CLI + TradingView MCP (Part 2) канала Siddharth Tiwari
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17 мая 2026 г. 17:06:59
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