Write a story is easy. All things that use know knowledge is possible, but with missing knowledge AI cannot work. Painting, dancing, music... all these things are existing things that are used in another combination. AI does nothing more than combine existing knowledge. Inventing a new drug that did not exist before is far more difficult. https://www.forbes.com/sites/robtoe...l-intelligence-still-cant-do/?sh=61f4be9c66f6 Very good article to understand the problems that AI still has. https://duckduckgo.com/?q=things+artificial+intelligence+cannot+do&t=ffab&atb=v320-1&ia=web
Should you use ChatGPT to learn how to build a "profitable" trading system? Yes. Should you use ChatGPT to build a "profitable" trading system? No. Why? Technology has already made us less reliant on our grey matter, hence making us dumber. Why make matters worse.
It would take you significantly less time to ask ChatGBT than to write this post. Can you make a decent stock trading system that is profitable and easy to follow? As an AI language model, I can provide some general guidance on how to create a profitable and easy-to-follow stock trading system, but it's important to keep in mind that there are no guarantees in the stock market, and any trading system carries risks. Here are some steps you can take to create a stock trading system: Develop a strategy: A trading strategy is a set of rules and guidelines that determine when and how to buy and sell stocks. Your strategy should be based on a solid understanding of market fundamentals and technical analysis. Determine the types of stocks you will trade, the market conditions you will look for, and the specific criteria that will trigger a buy or sell signal. Use data analysis: Utilize historical data, technical analysis, and fundamental analysis to analyze the market and identify trends. Data analysis is crucial for making informed decisions about buying and selling stocks. Use this data to help you develop a trading plan that incorporates a combination of technical and fundamental analysis. Set realistic goals: Set realistic goals for your trading system, including the amount of profit you hope to achieve and the risks you are willing to take. Keep in mind that it's important to have a long-term perspective and to avoid trying to get rich quick. Implement risk management: A successful trading system should incorporate risk management tools to help minimize losses. Determine your risk tolerance and use stop-loss orders, position sizing, and other risk management techniques to control your exposure. Monitor your results: Monitor your trading system's performance over time and make adjustments as necessary. Keep a trading journal to track your trades and analyze your performance, including any mistakes you may have made. Remember, creating a profitable and easy-to-follow stock trading system requires a significant amount of research, analysis, and discipline. It's important to be patient and to stick to your strategy even when the market is volatile or when you experience losses.
things have advanced in 20 years in unsupervised learning space. deepmind built a creative GO player with many unconventional moves and beat the world's best
So I signed up and typed in "give me an example of a profitable trading strategy" There are many profitable trading strategies, but one popular strategy is trend following. The basic idea behind trend following is to identify a trend in the market and trade in the direction of that trend. Here's an example of how a trend-following strategy might work: Identify the trend: The first step in a trend-following strategy is to identify the direction of the trend. This can be done using technical analysis tools, such as moving averages or trend lines. For example, if the price of a stock is consistently making higher highs and higher lows, then the trend is considered to be up. Enter the trade: Once the trend has been identified, the trader can enter a trade in the direction of the trend. This might involve buying the stock if the trend is up, or selling it short if the trend is down. Set a stop-loss: To manage risk, the trader should set a stop-loss order at a predetermined level. This is a price at which the trader will exit the trade if the market moves against them. For example, if the trader is long the stock, they might set a stop-loss just below a key support level. Monitor the trade: Once the trade has been entered, the trader should monitor it to see if the trend continues. If the trend remains intact, the trader can hold the position and potentially ride the trend for a significant profit. If the trend changes, the trader can exit the position at the stop-loss level. Take profits: Finally, the trader should have a plan in place to take profits if the trade goes in their favor. This might involve setting a profit target or trailing the stop-loss to lock in profits as the trend continues. Overall, a trend-following strategy can be profitable if the trader can accurately identify trends and manage risk effectively. However, it's important to note that no trading strategy is foolproof, and traders should always be prepared for the possibility of losses.
"Will the SPX drop tomorrow?" As an AI language model, I do not have access to information about future market movements or events that could affect the market. Predicting market movements is a highly complex and uncertain task, and even the most experienced investors and traders cannot accurately predict the future movements of the market with certainty. There are many factors that can affect the movement of the market, including economic indicators, global events, geopolitical tensions, and many other unpredictable factors. It's important to conduct thorough research, analyze data, and carefully evaluate risks before making any investment decisions.
https://blogs.nvidia.com/blog/2021/11/01/ai-beethovens-unfinished-symphony/ Also can't find the source but a symphony made by A.I won some competition and when it was revealed that it was made by A.I there was some turmoil.
Well if you want to talk about known vs. unknown information, everything is known to a certain degree. There is nothing that is completely unknown and brand new; everything is based on "something" that we know or obtained at some time in our lives somewhere no matter how remote it is. That new drug might be completely new and never existed before but it might be still based on something that we've learned somewhere sometime, the same as that symphony. And if the AI is being trained to think like us, this is what it would've picked up, storing everything that it's learned somewhere in its brain and then creating something out of it by pulling whatever it's "learned" at sometime somewhere.