\"Can we create friendly artificial superintelligence in next 50 years?\"
\n", "
![](\"https://www.superai.pl/images/courses/course_images/aiml_101/super_movie.jpg\")
https://www.youtube.com/watch?v=1R2xbEdsCuQ
At first we'll try using the algorithms available at the websites dedicated to specific machine learning libraries, like scikit-learn, pytorch, tensorflow, fastai, stable-baselines3, etc. After we see how these examples work we'll move to using these algorithms in a more advanced way...
\n", "\n", "Here you can find the basic steps that can help you create AI that uses machine learning techniques for some task. We'll follow the same steps with each of the ML techniques we'll be talking about. \n", "\n", "The tutorial is prepared for Windows and you should be able to run it after installing libraries that are mentioned in the tutorial. There are also links to the websites where you can find more info about the algorithm in question and library in question, so if you have any problems you have some external knowledge you can use to solve it or you can ask in the comments and if someone else knows the answer - hopefully they will help you :) After all, YouTube is supposed to be a social network.\n", "\n", "If you are a complete beginner to Python programming, you could also check my previous tutorial to learn more about Python and how you can use it. You can find it at my website:\n", "\n", "https://superai.pl/courses.html\n", "\n", "So here are these steps to take:" ] }, { "cell_type": "markdown", "id": "4d89a991", "metadata": {}, "source": [ "# Basic steps in testing examples of different machine learning models" ] }, { "cell_type": "markdown", "id": "af1bcbe9-457a-4c1e-9956-30901b65e4b4", "metadata": {}, "source": [ "**0. Setup the environment for testing the chosen machine learning technique.** \n", "\n", "**0A. Open Anaconda.**\n", "\n", "**0B. Create and set (if you want) the environment to work in. It must be done only once per preffered settings.**\n", "\n", "**0C. Open Jupyter Notebook.**\n", "\n", "**0D. Import and use (if you want) the 'warnings' library that is preinstalled with Anaconda to make the ouput cleaner.**\n", "\n", "**1. Copy the preferred model from the chosen location.**\n", "\n", "**2. Install and import all the libraries for machine learning and helper libraries.**\n", "\n", "**3. Prepare computer environment for using the model (training, testing, etc.), e.g. set CPU or GPU device for working.**\n", "\n", "**4. Run the copied code.**\n", "\n", "**5. Modify the model (extra step if you want, but it's not neccessary).**\n", "\n", "**6. Test the modified model (extra step, if applies).**\n", "\n", "**7. And you know the model works and you can use it in your own project to create great SuperAI!**" ] }, { "cell_type": "code", "execution_count": null, "id": "f06e5953", "metadata": {}, "outputs": [], "source": [ "#0. Setup the environment for training, testing, and using SuperAI with chosen machine learning techniques. \n", "#0A. Open Anaconda.\n", "#0B. Create and set (if you want) the environment to work in. It must be done only once per preffered settings.\n", "#0C. Open Jupyter Notebook.\n", "#0D. Import and use (if you want) the 'warnings' library that is preinstalled with Anaconda to make the ouput cleaner.\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "markdown", "id": "9ee95d38", "metadata": {}, "source": [ "# Basic steps in creating a helpful AI that uses machine learning techniques" ] }, { "cell_type": "markdown", "id": "ee4b3b5a-0f1a-49f6-a32e-22a1286c2c17", "metadata": {}, "source": [ "| \n",
" 0. Setup the environment for training, testing, and using SuperAI with chosen machine learning techniques. \n", " | \n",
" \n", " \n", " | \n", "
| \n",
" 0A. Open Anaconda. \n", " | \n",
" \n", " \n", " | \n", "
| \n",
" 0B. Create and set (if you want) the environment to work in. It must be done only once per preffered settings. \n", " | \n",
" \n", " \n", " | \n", "
| \n",
" 0C. Open Jupyter Notebook. \n", " | \n",
" \n", " \n", " | \n", "
| \n",
" 0D. Import and use (if you want) the 'warnings' library that is preinstalled with Anaconda to make the ouput cleaner. \n", " | \n",
" \n", " \n", " | \n", "
| \n",
" 1. Copy the preferred model from the chosen location. \n", " | \n",
" \n", " \n", " | \n", "
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" Can AI create a trading bot?\n", " | \n",
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\n",
" Alpaca\n", " | \n",
" ||||||||
| \n", " Task by\n", " | \n", "\n",
" Claude Anthropic (US)\n", " | \n",
" \n",
" Llama Meta (US)\n", " | \n",
" \n",
" Mistral AI (EU)\n", " | \n",
" \n",
" Gemini Google (US)\n", " | \n",
" \n",
" ChatGPT OpenAI (US)\n", " | \n",
" \n",
" Copilot Microsoft (US)\n", " | \n",
" \n",
" Perplexity (US)\n", " | \n",
" \n",
" DeepSeek AI (CN)\n", " | \n",
"
| \n", " Score\n", " | \n", "\n", " 2 / 5\n", " | \n", "\n", " 0 / 5\n", " | \n", "\n", " 0 / 5\n", " | \n", "\n", " 0 / 5\n", " | \n", "\n", " 1 / 5\n", " | \n", "\n", " 0 / 5\n", " | \n", "\n", " 1 / 5\n", " | \n", "\n", " 3 / 5\n", " | \n", "
| \n",
" 1. Connecting to Alpaca API Using alpaca-py Library \n", " Create a bot that connects to Alpaca: \n", " Write a Python program that connects to the Alpaca API using the alpaca-py library.\n", " Ensure it retrieves and prints paper trading account information for verification. Do not use alpaca-trade-api.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 2. Implementing Buy and Sell Functions for BTC \n", " Add functionality for buying and selling BTC: \n", " Write a Python program. Implement functions to place buy and sell orders for BTC using API.\n", " Use paper trading mode to simulate real trades. Buy 0.1 BTC. Wait for 15 seconds. Check if you have BTC to sell. Sell all the BTC you have. Include logic to determine your current BTC balance before placing the sell order. Take into account the trading fees and sell appropriately. Remember to use proper parameters for crypto, like: time_in_force.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 3. Fetching Current BTC Price Using Alpaca API \n", " Write a Python program. Use an API and alpaca-py to fetch the current price of BTC.\n", " Implement a loop that runs every 15 seconds to retrieve and print the BTC price. Do not use asynchronous programming.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 4. Implementing RSI Calculation with vectorbt \n", " Write a Python script that fetches the current price of Bitcoin (BTC) from Alpaca API, stores the latest prices in a list (keeping a maximum of 15 prices), and calculates the Relative Strength Index (RSI) using the vectorbt library. The script should continuously fetch the BTC price every 5 seconds and print the current BTC price along with the calculated RSI. If the RSI is less than 30, print a \"Buy signal\" message, and if the RSI is greater than 70, print a \"Sell signal\" message. Include detailed comments and print statements for intermediate values. Do not use asynchronous programming.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 5. Implementing BTC Trading Strategy with RSI Indicator \n", " Write a Python program. Use the RSI indicator from the previous code with standard thresholds (buy when RSI < 30, sell when RSI > 70) to implement a trading strategy for Bitcoin (BTC) using the Alpaca API. The strategy should include fetching the current BTC price using the Alpaca API via e.g. a separate CryptoHistoricalDataClient, which will specifically handle requests for the latest quotes using CryptoLatestQuoteRequest. Additionally, utilize the TradingClient for executing orders: buy 0.1 BTC when RSI is below 30 if you don't have any bitcoins and sell all BTC holdings when RSI is over 70. Do not use alpaca_trade_api. Implement the strategy in paper trading mode to simulate trades, keep track of BTC holdings and account balance, and print the current BTC price, RSI value, and any trade actions taken. Do not use asynchronous programming.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
\n",
" Binance\n", " | \n",
" ||||||||
| \n", " Task by\n", " | \n", "\n",
" Claude Anthropic (US)\n", " | \n",
" \n",
" Llama Meta (US)\n", " | \n",
" \n",
" Mistral AI (EU)\n", " | \n",
" \n",
" Gemini Google (US)\n", " | \n",
" \n",
" ChatGPT OpenAI (US)\n", " | \n",
" \n",
" Copilot Microsoft (US)\n", " | \n",
" \n",
" Perplexity (US)\n", " | \n",
" \n",
" DeepSeek AI (CN)\n", " | \n",
"
| \n",
" 1. Connecting to Binance API \n", " Create a bot that connects to Binance: \n", " Write a Python program that connects to the Binance API using the proper library.\n", " Ensure it retrieves and prints paper trading account information for verification.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 2. Implementing Buy and Sell Functions for BTC \n", " Add functionality for buying and selling BTC: \n", " Write a Python program. Implement functions to place buy and sell orders for BTC using API.\n", " Use paper trading mode to simulate real trades. Buy 0.1 BTC. Wait for 15 seconds. Check if you have BTC to sell. Sell all the BTC you have. Include logic to determine your current BTC balance before placing the sell order. Take into account the trading fees and sell appropriately.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
\n",
" Interactive Brokers\n", " | \n",
" ||||||||
| \n", " Task by\n", " | \n", "\n",
" Claude Anthropic (US)\n", " | \n",
" \n",
" Llama Meta (US)\n", " | \n",
" \n",
" Mistral AI (EU)\n", " | \n",
" \n",
" Gemini Google (US)\n", " | \n",
" \n",
" ChatGPT OpenAI (US)\n", " | \n",
" \n",
" Copilot Microsoft (US)\n", " | \n",
" \n",
" Perplexity (US)\n", " | \n",
" \n",
" DeepSeek AI (CN)\n", " | \n",
"
| \n",
" 1. Connecting to Interactive Brokers API \n", " Create a bot that connects to Interactive Brokers: \n", " Write a Python program that connects to the IB API using the proper library.\n", " Ensure it retrieves and prints paper trading account information for verification.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "
| \n",
" 2. Implementing Buy and Sell Functions for BTC \n", " Add functionality for buying and selling BTC: \n", " Write a Python program. Implement functions to place buy and sell orders for BTC using API.\n", " Use paper trading mode to simulate real trades. Buy 0.1 BTC. Wait for 15 seconds. Check if you have BTC to sell. Sell all the BTC you have. Include logic to determine your current BTC balance before placing the sell order. Take into account the trading fees and sell appropriately.\n", " | \n",
" \n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "\n", " \n", " | \n", "