Ultimate OpenClaw Tutorial: Set up an Automated AI Crypto Trading Bot (Beginners Guide)

How to Set Up an AI Trading Agent

Introduction to AI Trading Agents

• The video provides a step-by-step guide on setting up an AI agent using Open Core for automated crypto trading.

• The presenter emphasizes the simplicity of the instructions, allowing viewers to copy and paste prompts easily.

• Acknowledges the future dominance of AI in trading, suggesting that human traders will become obsolete due to limitations in monitoring multiple charts.

Importance of AI in Trading

• Highlights that everyone from casual investors to high-leverage traders will rely on AI for trading strategies.

• Warns about the volatility of modern financial instruments like crypto and advises against investing money one cannot afford to lose.

Engagement and Community Building

• The presenter aims to transparently stack 10 Bitcoin through profitable trading with the help of AI agents.

• Announces a giveaway for a Mac Mini pre-installed with Clawbot, encouraging viewers to join their newsletter for updates.

Staying Updated with Rapid Changes in AI

• Stresses the fast-paced nature of AI developments; what was relevant last week may no longer be applicable.

• Encourages joining their inner circle community for access to premium strategies and support from experts.

Getting Started: Hardware Requirements

• Introduces Step 1 out of 12, focusing on hardware needed for running Open Core AI agents.

• Clarifies that while a Mac Mini is not necessary, options include using an older laptop or renting a VPS/cloud server at low monthly costs.

Setting Up Your Environment

• Mentions that the tutorial will use a MacBook but assures similar functionality can be achieved on other devices.

• Introduces "terminal" as a crucial tool for executing commands during setup, noting potential errors and troubleshooting tips.

Coding Steps Overview

• Steps 1 through 5 involve coding tasks which may seem daunting but are essential for initializing the agent's functions.

• Emphasizes reaching Step 5 as a checkpoint where operations become easier as users interact more directly with their agent.

Getting Started with Terminal Commands

Introduction to Terminal Setup

• The speaker emphasizes the simplicity of the process, encouraging users to copy prompts directly from an instruction manual to avoid typing errors.

• Instructions for opening the terminal on different operating systems: Mac users can use Command + Space, while PC users need to find their own method.

Preventing Sleep Mode

• The speaker explains that preventing sleep mode is crucial for continuous operation of a trading agent on a MacBook, ensuring it remains active and responsive.

• Upon entering commands in the terminal, no visual confirmation (like dots for password entry) will appear; success is indicated by returning to the home screen prompt.

Engaging with AI Tools

• Users are encouraged to subscribe to an AI traders newsletter for updates and strategies related to using Open Claw once set up.

• If issues arise during setup, utilizing AI tools like ChatGPT or Claude is recommended for troubleshooting and guidance.

Step-by-Step Installation Process

• The speaker demonstrates how to take screenshots of terminal outputs and paste them into an AI tool for interpretation regarding command success or failure.

• Moving forward, the installation process involves multiple steps including installing Homebrew and Node.js as prerequisites before launching Open Claw.

Running Commands in Terminal

• Users are instructed on how to install Homebrew first, followed by Node.js. Each step requires careful attention as skipping any could lead to failures in subsequent processes.

• After running commands, users should wait until they return back to their home screen prompt as confirmation that installations have completed successfully.

OpenClaw Installation and Configuration

Initial Setup and Testing

• The installation process begins with confirming the version of OpenClaw, requiring version 22 or later. The current version is confirmed to be 25.

• Two prompts appear: one for installing OpenClaw and another for starting onboarding. The installation involves a simple copy-paste action, followed by a loading animation indicating progress.

Installation Confirmation

• After running the installation command, it confirms that one package was added and 677 packages were changed in just 21 seconds.

• Successful installation leads to the readiness of the Open Core agent, which will be configured next.

Understanding OpenClaw's Functionality

• A metaphorical representation compares OpenClaw to a hand (the action piece), emphasizing its role in executing trades rather than making decisions.

• To function effectively, OpenClaw requires an AI brain (LLM), such as Anthropic Claude or Google Gemini, to handle decision-making tasks.

Choosing AI Brains

• It is recommended to use two brains: Anthropic Claude as the primary (more advanced but costly) and Google Gemini as a backup for less critical tasks.

• This dual-brain setup allows for efficient task management while minimizing costs associated with using high-end AI services.

Onboarding Process

• Users are prompted to acknowledge security vulnerabilities associated with using OpenClaw before proceeding with onboarding.

• During onboarding, users navigate through terminal commands to select their preferred LLM from available options like OpenAI and Anthropic.

Configuring Anthropic Brain

• Instructions guide users on how to set up Anthropic as their primary brain by copying specific console commands into the terminal.

• Users must load credits into their Anthropics account; $5 is suggested as a minimum starting point for functionality.

API Key Generation

• To obtain an API key from Anthropics, users navigate through settings and create a new key named appropriately for easy identification during setup.

• Emphasis is placed on ensuring that users understand they can opt for free alternatives if budget constraints exist.

Setting Up Your AI Agent: A Step-by-Step Guide

Understanding Different AI Models

• The tutorial introduces various AI models: Sonnet, Opus, and Haiku. Each model has distinct characteristics; Sonnet is quick and efficient, Opus is a deep thinker that consumes credits rapidly, while Haiku is cost-effective but less profound.

Initial Setup with Haiku Model

• The process begins with selecting the Haiku model for its affordability. Users can switch to a more advanced model later by simply requesting it from the agent.

Creating an API Key for Google Gemini

• To set up Google Gemini as a secondary brain, users need to create an API key through AIS.google. This involves naming the key (e.g., "second brain") and adding it to their project list.

• After creating the API key, users are instructed on how to copy it for future use in setting up their AI agent.

Communication Interface Setup

• The tutorial recommends using Telegram as the primary communication interface due to its convenience for messaging on-the-go.

• Users are guided to select Telegram as their channel of communication and are encouraged to install the app if they haven't already.

Creating a Telegram Bot

• Instructions are provided on how to find and interact with "Bot Father" in Telegram, which facilitates bot creation.

• Users must initiate a new bot by sending the command "/newbot" and choosing a name for their bot (e.g., Slimmosaurus).

• After naming the bot, users receive a token from Bot Father that needs to be copied into their terminal setup for integration with Open Claw.

Finalizing Bot Configuration

• Once the token is entered into the terminal, users have successfully set up their Telegram bot. Further steps will involve ensuring proper messaging functionality between them and their AI agent.

• The tutorial concludes this section by discussing enabling skills and local network access settings but emphasizes that these can be adjusted later if needed.

Setting Up Your Bot: A Step-by-Step Guide

Initial Setup and Access

• Users are prompted to allow local network access on their Mac for the setup process to function correctly.

• The speaker, Benj, mentions reinstalling gateway services from scratch to demonstrate the installation process clearly.

Configuring the Bot

• Benj introduces his bot named "Slim" and selects a cat emoji as its representation.

• He emphasizes that all modifications will be consolidated into a prompt that can easily be copied for further use.

Engaging with the Bot

• The speaker demonstrates messaging Slimosaurus for the first time through the open core gateway dashboard, highlighting its connectivity status.

• He notes that while Telegram is clunky compared to other interfaces, it provides a more user-friendly experience than terminal commands.

Finalizing Setup and Testing

• Benj instructs users to copy a modified prompt into Slimosaurus, ensuring it processes correctly without unnecessary distractions from files.

• He confirms that Slimosaurus is fully operational and ready to respond via Telegram, emphasizing its straightforward functionality.

Troubleshooting and Next Steps

• Users are guided on how to interact with their bot in Telegram by starting a conversation with Slimosaurus.

• The importance of linking messages between Telegram and the web UI is reiterated as essential for smooth operation.

Pairing Process

• Benj explains how users can delegate tasks to Slimosaurus instead of manually entering commands in terminal, making interactions more intuitive.

• He encourages users to communicate directly with their bot about issues they encounter during setup.

Achieving Milestones

• After successful pairing confirmation, Benj celebrates reaching this significant checkpoint in setting up Slimosaurus.

• He discusses implementing a fallback brain quickly using Google’s free model for efficient responses without incurring costs.

Setting Up a Telegram Bot with Google Gemini

Initial Setup and API Key Configuration

• The process begins by copying the necessary code instead of hacking into the terminal, which is then pasted into Telegram.

• Users must create an API key for Google Gemini, ensuring they are logged in to access this feature.

• It's important to avoid spamming messages while interacting with the bot; it indicates when it's processing commands through typing notifications.

Understanding Sub Agents and Their Functionality

• Sub agents are introduced as tools that can perform tasks on behalf of the user, allowing for efficient delegation of responsibilities.

• The main agent (Slimmosaurus) acts as a liaison, facilitating communication between the user and sub agents for task execution.

Configuring the Bot's Core Functionality

• A critical component referred to as "the soul" is established; this master contextual prompt guides how the bot interacts and processes requests.

• Users are encouraged to utilize a pre-written soul template that outlines operational parameters rather than focusing solely on trading strategies.

Validation Checkpoints and Error Handling

• A validation checkpoint is set up to ensure all configurations are functioning correctly; green check marks indicate successful setup.

• If errors occur, users can copy error messages into their LLM (Language Learning Model), which will assist in troubleshooting.

Enhancing Communication with Heartbeat Feature

• The heartbeat feature allows Slimmosaurus to initiate communication proactively rather than waiting for user prompts, enhancing interactivity.

How to Troubleshoot Errors in Telegram Bots

Setting Up the Heartbeat

• The process begins by creating a cron job that allows for continuous communication with the bot, Slimmosaurus, via Telegram.

• Initial attempts may result in errors; troubleshooting is essential. A screenshot of interactions can help identify issues.

Troubleshooting Steps

• Using Claude 2 for assistance, users can copy and paste code step-by-step to resolve problems effectively.

• Restarting the launch agent is a critical step in troubleshooting; commands are executed through a new terminal window.

Identifying Issues

• Common errors include incorrect P list file names, which can be easily identified and corrected with Claude's help.

• Verifying successful installations involves checking responses from Claude after executing commands.

Monitoring and Updates

• Once operational, the bot will provide updates every four hours about its status and performance.

• Users are encouraged to follow instructions step-by-step to ensure everything functions correctly without missing crucial details.

Creating Your First Sub Agent

Introduction to Sub Agents

• The next phase involves spawning a sub agent named "trader," designed to execute specific trading strategies.

• This tutorial focuses on creating one sub agent initially, with options for more advanced setups later.

Customizing Trader's Capabilities

• Each trader can have unique attributes or "brains" assigned based on their intended trading style or strategy.

• The foundational code or "soul" of each trader must be written carefully to define their operational parameters.

Finalizing Trader Setup

• Users will input specific coding into Telegram for the trader agent, allowing Slimmosaurus to update its capabilities autonomously.

• Successful updates signify that traders are ready for deployment, enabling automated trading processes.

Connecting and Setting Up Trader

Step Nine: Connect and Exchange

• The process begins with setting up the necessary tools, including a laptop, Telegram, and a control panel for communication.

• Slimmosaurus is introduced as an entity that will report every four hours, equipped with two distinct "souls" to define its operations.

• Trader needs access to a crypto wallet and trading apps like Hyperlquid or AA; AIDEX is recommended for obtaining API keys without initial funding.

Simulated Trading Setup

• Users are encouraged to start with simulated trades using paper money before transitioning to real funds, minimizing risk during strategy testing.

• Instructions are provided on connecting wallets through AIDEX's interface, emphasizing security by recommending separate devices for wallet management.

API Key Creation

• Users must create API keys in their MetaMask account while ensuring future trading and spot trading are enabled but withdrawals are disabled for security.

• It’s crucial to copy the generated API key and secret immediately since they cannot be accessed again after confirmation.

Security Measures

• Additional security can be implemented by restricting access to trusted IP addresses only, enhancing protection against unauthorized access.

Finalizing Trader Setup

• After copying the necessary keys into the system, Slimmosaurus will facilitate access to AA or Hyperlquid based on user preference.

• The setup concludes with successful connection of the exchange; users can now analyze trade logs and strategies while preparing for potential real-money transactions.

Trading Strategies and Automation

The Power of Automated Trading

• The potential for traders to use real money with a single command is highlighted, emphasizing the incredible efficiency of automated trading strategies.

• Successful traders possess unique skills and strategies that yield high profits; the speaker suggests that replicating these methods could lead to similar success.

• A vague or poorly defined strategy will not yield results; specificity in trading instructions is crucial for success.

Machine Learning in Trading

• The concept of using machine learning to refine trading strategies by analyzing hundreds of different traders competing against each other is introduced.

• By compiling historical trade data from top traders, a comprehensive strategy file can be created, allowing new traders to emulate successful techniques.

Getting Started with Trading Strategies

• A beginner's starting strategy is provided as a foundation for new traders, although it lacks proven effectiveness and backtesting.

• Traders are encouraged to document their own strategies and share them, enabling collective improvement across various market conditions.

Managing Trader Sessions

• Instructions on how to update trader strategies are given, emphasizing the importance of naming sub-agents for organization.

• Traders will initially operate using paper money to minimize risk while testing out new strategies before transitioning to live trading.

Transitioning from Paper to Live Trading

• The session duration for trading can be set (e.g., one hour), allowing flexibility in managing trades without constant supervision.

• Users have the option to stop trading at any time or switch from paper mode to live mode seamlessly by issuing simple commands.

Winning Strategies and Testing in Trading

Step 10: Transitioning to Live Trading

• A winning strategy can be tested with real money by simply instructing the trader to switch to live trading. This step is crucial for practical application.

Research and Development in Trading

• The lead researcher, Twilly55, is actively engaged in testing various strategies through natural selection tests involving hundreds of bots competing against each other.

Identifying Top Traders

• The focus is on finding the best traders globally, logging their trades, and creating a strategy document that can be easily integrated into trading systems for testing.

Machine Learning Integration

• The inner circle is developing resources that include machine learning capabilities for trade analysis, ensuring continuous improvement over time.

Community Support and Resources

• Members of the inner circle benefit from community support where they can test strategies collaboratively while utilizing custom dashboards for tracking performance visually.

Performance Tracking and Strategy Testing

Dashboard Features

• Custom dashboards are being built to track traders' performances graphically, making it easier to analyze results compared to traditional text formats.

Results Variation Among Bots

• Different algorithms yield vastly different results; for instance, Chat GPT produced no profits while Claude generated $900. This highlights the importance of algorithm selection in trading outcomes.

Joining the Inner Circle: Benefits and Offers

Exclusive Access and Savings

• Joining the inner circle provides early access to new skills, models, features, direct support from coaches, and a community of like-minded individuals working together on trading strategies.

Yearly Package Offer

• A yearly package offers significant savings ($789 off), unlocking premium scripts and strategies along with ongoing updates throughout the year.

Final Steps: Reporting Summary

Trade Execution Alerts & Performance Reports

• For those not joining the inner circle but still interested in monitoring performance metrics such as profit/loss summaries or trade execution alerts can customize prompts according to their needs.

Personalized AI Agent Setup

• Users can set up personalized agents (like Slimmosaurus) to provide tailored information such as daily Bitcoin prices or market summaries at specific times.

Trade Execution Alerts and Community Engagement

Trade Execution Alert Feature

• The speaker discusses the addition of a trade execution alert feature, which notifies users in real-time about trades being made. This allows for immediate awareness and engagement with trading activities.

• Users receive alerts via Telegram, enabling them to stay updated on trades directly on their phones. This facilitates communication with Slimosaurus and his research team.

Community Interaction

• The speaker encourages viewers to engage further by following him on X (formerly Twitter), emphasizing the importance of community involvement in trading discussions.

• An invitation is extended to join the "inner circle," suggesting a collaborative environment where members can share insights and strategies related to trading.

• Viewers are prompted to subscribe to the YouTube channel, highlighting the value of ongoing content and updates provided through that platform.