For a long time, ChatGPT ruled the AI space, standing alongside others like Claude or Gemini. But now, DeepSeek is shaking things up with lower priced reasoning capabilities and a fresh approach to innovation.
So whether you’re a trader, developer, writer or just someone curious about AI, this guide will teach you how to leverage the full potential of DeepSeek for wealth creation.
To use DeepSeek, access DeepSeek via DeepSeek Chat or the mobile/desktop app, log in, select the R1 model, and enable web search for real-time data from within the prompt box. For advanced use, integrate with tools like Visual Studio Code or Make.com to automate workflows. You can also run it locally by downloading Ollama, installing it, and launching with ollama run deepseek-r1:8b or privacy and speed. DeepSeek also supports creating AI agents using Web UI or automating tasks with Google Sheets and WordPress.
To get started with DeepSeek, open your browser and visit DeepSeek Chat. This is the main platform where you can interact with DeepSeek R1 and access its features. If you prefer mobile access, you can download the DeepSeek app directly from the Apple App Store or Google Play Store.
Once you’ve opened DeepSeek Chat or installed the app, log in using one of the following methods:
After logging in, you’ll land on the DeepSeek dashboard. Here’s how to set up the R1 Model:
To enhance your DeepSeek experience, enable the Web Search feature for real-time information retrieval by:
DeepSeek can generate well-reasoned content tailored to the financial markets, trading strategies, and investment trends:
1. Enter your request in the chat box.
💡 Example: "Write a 500-word article on how Bitcoin halving affects market prices."
2. Press Enter or click the submit button.
3. DeepSeek will analyze your request and generate content in 10 seconds or so.
4. Review the output and refine it with follow-up instructions.
💡 Example: "Add historical examples from previous Bitcoin halvings."
DeepSeek can be used to develop trading tools and investment-related applications quickly and efficiently by:
1. Providing a coding request in the chat box.
💡 Example: "Create a Python script that fetches real-time Bitcoin price data and calculates moving averages."
2. DeepSeek will:
💡 Example: "Optimize the script to display Bollinger Bands and RSI indicators."
Tina, MC² Finance’s AI wealth assistant, offers advanced token analysis and wealth-building insights. Access her on MC² Finance’s Discord or check out her tweets.
DeepSeek makes it easy to create and preview investment dashboards or trading-related web applications.
Here’s how:
1. Enter a request in the chat box to generate an HTML-based project.
💡 Example: "Build a crypto portfolio tracker that displays real-time price updates and portfolio performance."
2. Once DeepSeek generates the code, look for the Run HTML button alongside the output.
3. Click Run HTML to preview the application directly within DeepSeek’s interface.
4. Review the live preview and request further refinements.
💡 Example: "Add a candlestick chart to visualize daily price movements."
To run DeepSeek locally, you’ll need to set up the necessary tools like:
Once Ollama is installed, you can start running DeepSeek R1 locally:
1. Open your terminal or command prompt.
2. Type the following:
bash
ollama run deepseek-r1:8b
3. Press Enter to launch the DeepSeek R1 model.
4. Leave Olama running in the background to maintain optimal performance during use.
Running DeepSeek on your local machine provides several advantages:
Minimum RAM: 20 GB is required for basic operation, but this will result in sluggish performance.
Recommended RAM: For better performance, a total of 80 GB (combining RAM and VRAM) is ideal, especially if using high-performance GPUs like the NVIDIA H100
Storage: Approximately 140 GB of disk space is necessary to accommodate model weights
Expand your capabilities by using DeepSeek R1 alongside development tools for creating more complex projects:
DeepSeek can help automate repetitive tasks and streamline your workflow by integrating with platforms like Google Sheets or WordPress:
Connect Google Sheets to DeepSeek for automated data processing (i.e., generating summaries or analyzing trends) by:
a. Use Make.com or Zapier to integrate Google Sheets with DeepSeek’s API.
b. Select a trigger (e.g., when a new row is added or modified).
c. Define the automation—send the data to DeepSeek for analysis.
d. Get processed results—DeepSeek will generate summaries, analyze trends, or structure insights.
e. Automatically update Google Sheets with DeepSeek’s output.
Use DeepSeek’s API to automate tasks like uploading blogs to WordPress, with internal links and formatting.
Workflow example
A workflow can pull data from Google Sheets, run it through DeepSeek for processing, and send the results directly to a WordPress draft.
Leverage DeepSeek to build personalized AI tools and agents for unique use cases:
1. Set up web-based AI
Use browser-based tools like Web UI to create and manage custom AI agents.
2. Example project
Create a chatbot that answers FAQs for your website. Provide DeepSeek with a dataset of questions and answers, and it will automate responses for your audience.
3. How to deploy
Host the AI agent locally or online, and integrate it with messaging platforms like Telegram, Slack, or your website for seamless operation.
DeepSeek offers a versatile and powerful way to manage tasks, from building applications to conducting advanced research. Alongside Tina, the AI assistant from MC² Finance, it provides unparalleled capabilities for token analysis and wealth-building insights.
💡 Do remember to also check out the different types of AI agents you can make with it.
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