Video Summary
Claude AI can be given a 'skill' to open, close and manage trades without coding.
API keys are created locally and encrypted on your machine; multiple exchanges are supported.
You can set stop-loss, take-profit, leverage and position sizes via AI commands.
Cowork enables scheduling and mobile automation so tasks run every few minutes.
Social-media triggers (e.g., scanning a Twitter account) can automatically close or open positions.
You create API keys from your exchange and add them to the Claude skill; the keys are encrypted and stored locally on your machine so Claude can read/write positions without the keys leaving your device.
No — the walkthrough uses a prebuilt 'skill' file uploaded into Claude Code and Cowork tasks/schedules, allowing no-code setup for opening, closing and managing positions.
Claude can open/close trades, reduce longs/shorts, set position size by percentage or fixed USDT, and apply stop-loss and take-profit levels and leverage as configured.
Yes — the demo configures a scheduled task to scan a Twitter account (e.g., Donald Trump) every few minutes and to close or open positions based on tweet content.
The Cowork tool in Claude lets you schedule tasks (every 5–10 minutes or daily) and run your skills from mobile, enabling fully automated, on-the-go execution.
"AI is changing the game for us traders."
The speaker reflects on how AI significantly alters the traditional trading landscape by automating and optimizing trading tasks.
Previously, the speaker spent around eight hours daily monitoring trades for optimal exit points, but now AI has simplified this process.
An instance is shared where the AI, named Claude, autonomously closed all trades in response to a tweet from Trump while the speaker was having lunch with his children.
"Today, I'm going to show you exactly how to do the same thing. No code, pretty much on any exchange, and it's absolutely free."
The speaker introduces a unique trading skill that utilizes AI to manage trading portfolios without requiring any coding experience.
This skill can operate on multiple exchanges and aims to make AI trading accessible to anyone for free.
"I've been backtesting and live trading strategies and automation for five years here on YouTube."
The speaker has extensive experience in both backtesting and live trading and is recognized among the top traders across various exchanges.
Recent improvements in the speaker's trading performance are attributed to the integration of AI, specifically mentioning Claude's capabilities.
"Most importantly, we're going to be connecting the exchange over to your AI."
The speaker emphasizes the importance of securely connecting AI to trading exchanges using API codes that will only remain on the user's machine.
These API codes are encrypted to ensure safety and prevent third-party access to sensitive information.
"We're going to be able to trade, open trades, close trades, reduce longs and shorts, and do it in quantity by percentage or a flat USDT number."
The skill allows users to perform various trading operations, including opening and closing trades, as well as observing their portfolio balance and trade history.
The speaker mentions the ability to create detailed dashboards for monitoring trading performance, showcasing the comprehensive features of the AI skill.
"Let's put the stop loss at 3% from the current price and take profit at 6%."
The speaker demonstrates how to execute a trade using Claude by specifying parameters like the type of trade (long or short), leverage, stop losses, and profit targets.
Emphasizing speed, the AI handles the trade execution seamlessly, providing a user-friendly experience that saves time and effort.
"Cowork is a powerhouse and is one of my favorite projects that Claude has come out with."
The speaker discusses the process of transferring skills to a collaborative tool called Cowork, which enables a fully automated trading system.
Cowork allows for mobile access, scheduling automation tasks, and real-time interaction with the AI, making it an essential companion for traders on the go.
"We're going to customize and add our new skill, creating a strategy factory setup."
The process begins by adding a new skill into the trading setup, which involves uploading pre-prepared code that automates trading strategies.
Once the skill is uploaded, the next step is to create a new task to integrate it into the system, allowing it to function effectively.
The scheduling feature is highlighted, enabling tasks to run at specified intervals, such as every 5 or 10 minutes, or even daily.
Examples of strategies include implementing an RSI strategy on a daily timeframe to trigger trades or scanning social media platforms for specific tweets that may impact market decisions.
"I'm going to ask it to monitor Donald Trump's Twitter and make trading decisions based on that."
The strategy involves setting up a routine for the AI to check Donald Trump's Twitter profile every 10 minutes for market-moving tweets.
If the tweets contain significant news, such as potential conflicts or comments on cryptocurrencies, the AI is instructed to either close all open positions or enter a long position in Bitcoin with a specified amount.
Leverage settings and risk management, including stop-loss and take-profit levels, are also to be determined based on tweet sentiment.
"This isn't limited to taking trades; you can download all of your trades from the past week to create your own dashboard."
During the setup process, users are encouraged to explore other functionalities, such as backtesting thousands of trading strategies already available on the host's website.
The AI enables the creation of a webhook, making it easier to refine which trades to pursue or avoid based on automated criteria.
Besides executing trades, users can compile and analyze a dashboard of their trading activities over the past week to gain insights into their performance and asset growth.
The versatility of this system extends beyond a single exchange, supporting many popular trading platforms, and the creator invites suggestions for additional integrations.
"Now my AI will help me make better decisions based on Donald Trump's tweets."
Once the scheduling and logic frameworks are established, the AI will automatically respond to social media influences on the market, closing or altering positions as dictated by the content of tweets.
The potential of AI in trading is emphasized, as it offers tools that significantly enhance decision-making and can mitigate losses from uninformed trading actions.
