Video Summary
Claude connects to TradingView via TradingView MCP and reads live DOM/code-level chart data, not screenshots.
A one-shot setup prompt on GitHub automates configuration so you can start in minutes via Claude Code.
Claude can research strategies, generate Pine Script, detect on-screen code errors, and auto-fix them.
Add a full watchlist and use the morning_brief command to get a single daily status report across assets.
rules.json stores your watchlist and trading rules and can be populated through natural-language conversation with Claude.
Claude uses TradingView MCP to read live DOM/code-level values (via the browser inspect/CDP) so it knows exact candle prices, wicks, and timestamps in real time instead of interpreting pixel data from images.
The one-shot setup prompt is a prebuilt instruction you paste into Claude Code to automate the TradingView MCP configuration. It's available for free on the project's GitHub linked in the video description.
Yes — Claude can translate researched strategies into Pine Script, apply the script to charts, detect errors by reading on-screen output, and iteratively fix those errors.
Typing 'morning_brief' runs a scan of your entire watchlist and returns a consolidated status report (bullish/bearish/neutral, signals) so you don't need to query each asset individually.
rules.json stores your watchlist and trading rules; you can populate or update it by talking to Claude in plain English, letting the agent encode your strategy parameters without manual file edits.
The one-shot prompt and the creator's improvements are shared for free on GitHub. The video is educational and not personalized financial advice — crypto and trading carry high risk.
"Yesterday on X, somebody figured out how to connect Claude the AI to TradingView."
Claude, the AI, can engage live with TradingView, creating indicators and interacting directly from your terminal.
This integration is generating significant interest among traders, boasting around 750,000 enthusiasts online.
Previous AI tools that claimed to help with chart analysis often had delay issues, leading to irrelevant trading insights.
The new system allows Claude to receive and interpret live code data instead of relying on static images, enhancing accuracy.
"I've made it better."
The creator acknowledged that despite the effectiveness of the original tool called TradingView MCP, there were areas needing improvement.
Feedback from users indicated struggles with certain elements of the tool, prompting enhancements based on user experience.
This channel aims to equip viewers with tools that provide an advantage in trading through better technology and strategies.
"I’m going to teach you how to set this up for yourself in just a couple of minutes."
The video provides a step-by-step guide on how to set up the integration quickly and efficiently.
Users can bypass complicated manual setups for a streamlined one-shot setup prompt that simplifies the process.
Claude's system reads live data from TradingView, allowing for real-time interaction that is far more effective than simply uploading screenshots.
"If you're interested in learning how to set that up for yourself, there's a link in the description."
The speaker reveals their personal trading strategy aimed at turning £50,000 into £500,000 in a year, currently showing a profit of nearly £4,000.
All trading actions are automated, and the system allows for quick purchases at advantageous market dips.
Viewers are encouraged to check out additional resources for learning about this automated trading system and notifications for trade opportunities.
"Now fill in the rules.json with your watchlist and trading rules, and you're good to go."
Claude is integrated with TradingView and can be set up to execute trading commands without manual adjustments to files. This is achieved by utilizing a file called rules.json, where users can input their watchlist and trading preferences.
The speaker prefers giving natural language commands to Claude rather than modifying files directly, emphasizing a more user-friendly interaction.
For instance, the speaker demonstrates asking Claude to display the Bitcoin chart on a weekly timeframe simply by speaking into the WhisperFlow interface. Upon this request, TradingView instantaneously updates to reflect the new chart, showcasing Claude's real-time responsiveness.
"Can you please remove the volume indicator from the bottom of the screen?"
Users can issue specific commands to Claude, such as removing indicators or adding new ones on their charts. This quick adaptability highlights the AI's capabilities in managing trading analysis seamlessly.
The speaker emphasizes the strong potential of Claude, suggesting that even though the demo is just scratching the surface, there are numerous advanced functionalities yet to be explored.
The interactivity with Claude allows for a natural conversational flow, suggesting that trading strategies can be communicated and modified in real-time.
"Can you research what they've done with their trading strategy, the indicators they use, the moving averages they use, whatever it is, and then can you please install those onto my Bitcoin chart?"
The speaker outlines a scenario where they ask Claude to research successful day traders and reproduce their strategies on the user's behalf, illustrating a significant advancement in automated trading.
Claude not only gathers information but also translates it into actionable trading scripts, enhancing the user's trading prowess without requiring them to dive into intricate strategy details.
By continuously instructing Claude, the speaker sets up a series of tasks that allow the AI to develop a well-rounded trading methodology based on proven techniques.
"Can you actually turn that into a pine script, please, and then implement that pine script onto the chart?"
Once Claude develops a trading strategy, it can convert this information into a Pine Script, a specific code used on TradingView for implementing trading strategies.
The collaborative process between Claude and the user exemplifies an innovative approach to leveraging AI for personalized trading experiences. The speaker showcases how Claude's capabilities extend to managing technical analysis, further automating the user's trading routine.
The real-time adjustments that Claude can make through scripting reinforce the idea of AI as a powerful tool in the trading landscape, allowing for backtesting and analyzing performance over time.
"It will look at your watchlist and then produce you a report of your watchlist right at that moment."
The speaker has implemented an automated system where Claude reviews a daily watchlist of assets and generates reports to notify the user of their trading positions, thereby minimizing manual effort.
This enhancement to the trading routine significantly improves efficiency, allowing traders to focus on decision-making instead of repetitive analysis.
The speaker highlights Claude's ability to provide insights into multiple assets simultaneously, elaborating on the report generated for Bitcoin, Ethereum, Solana, XRP, and more.
"It's telling me that Bitcoin's bearish, Ethereum's bearish, Solana's bearish, XRP is neutral, Link is bearish, and Pepe is neutral as well."
Using the established strategies, Claude informs the user about the current trading positions of various assets, enabling quick assessment of market conditions.
By receiving real-time signals and analysis, traders can make informed decisions based on the latest output from Claude, which helps in strategizing their moves in the crypto market.
The speaker reiterates the value of such insights, transforming complex data into understandable signals that guide investment approaches.
"To get your morning brief, just type 'morning_brief' into your terminal."
By entering 'morning_brief' in your terminal, you can quickly receive a summary of your watchlist items and their current positions.
This functionality allows you to avoid typing in each asset separately, making it efficient for monitoring your portfolio.
You can customize the frequency of updates, opting to receive briefings as often as every minute or every ten minutes, though excessive notifications may become distracting.
"You can talk to Claude to input rules regarding bullish or bearish conditions and your trading strategy."
Claude enables you to define specific trading rules, such as indicators for entering or exiting trades and assessing risk.
This feature allows for greater customization and intricacy in your trading strategy, facilitating a structured approach to decision-making without emotional influence.
The morning brief generated by this system provides timely updates on market conditions for assets like Bitcoin and Ethereum, which helps in making informed trading decisions.
"You can scrape transcripts from prominent analysts to build a strategy based on proven methods."
By analyzing the strategies and indicators used by renowned trading analysts like CoinsKid or Blockchain Backer, you can create a trading model that mirrors their decision-making processes.
This can be executed by incorporating their insights into a Pine Script, allowing you to automate your trading decisions further based on expert analysis.
The system updates the rules.json file automatically, ensuring that your trading strategy evolves and adapts based on the best available information without requiring you to constantly rethink it.
"You can access everything built here for free; I don’t want your email or money."
The tools discussed in this video, designed for trading efficiency and informed decision-making, are available without any cost to the user.
To utilize this resource, viewers can follow a provided link, facilitating a straightforward setup that promises to enhance their trading experience.
The goal is to empower users to maximize their trading potential and generate profits effectively.
