In case you missed it, the only value in this entire space is the proverbial seller of shovels and equipment to gold diggers, Nvidia. Most startups that put ai or chatgpt into their name or business description have nothing other than funding. They by majority lack models. Similar to the business models of companies in the early 2000s who all registered dot com addresses. Most of them went belly up, very few survived that produced value added products. Chat gpt is innovative in its narrowly defined realm but certainly not to trade. Usually when those products make it to the mass market they are arbed to death with the blink of an eye. The real useful ai models are not yet discovered and will bring about true automation and something that resembles more of what we call "intelligence". For now most ai models are used for interpretation not to extract intelligence from data. There are a few exceptions but chat gpt certainly is not one of those. There is way too little focus on pushing reinforcement learning models further. You will hear the term reinforcement learning a lot more going forward because this is essentially how humans and animals learn.
get the subscription version 4.0 and you can give it feedback and suggestions which helps in future inquires. you can give it custom instructions >
Completely wrong. Just tell it to “create a stock portfolio that returns 100% annually.” You could even hook it up to IB API and have it trade for you. Can you generate “Early retirement?” /s
Creating a specific plan to aim for a 100% annual return is a risky endeavor and should be approached with extreme caution. The strategies involved often include a high level of volatility and significant risk of loss. This is not investment advice but merely an illustrative example of what an aggressive, high-risk investment strategy might look like. #### Portfolio Composition: 1. **High-Growth Stocks (40%)** - 10% in Tech Companies (e.g., smaller cap tech firms) - 10% in Biotech Companies awaiting FDA approval - 10% in Renewable Energy Companies - 10% in Online Retailers 2. **Leveraged ETFs (20%)** - 10% in Leveraged S&P 500 ETF (e.g., SPXL) - 10% in Leveraged Sector ETFs (e.g., technology or healthcare) 3. **Options and Derivatives (20%)** - 10% in Call options for stocks you are bullish on - 10% in Put options for stocks you are bearish on or as a hedge 4. **Cryptocurrency (10%)** - Diversify among top cryptocurrencies like Bitcoin, Ethereum 5. **Cash or Cash Equivalents (10%)** - To take advantage of new opportunities or to act as a buffer #### Risk Management: - **Diversification**: Even within high-risk categories, diversify to minimize the risk of total loss. - **Stop-loss orders**: Use stop-loss orders to mitigate potential losses. - **Regular Monitoring**: High-risk portfolios require regular monitoring, often on a daily basis. - **Hedging**: Use financial instruments like options to hedge against significant losses. #### Additional Notes: - **Professional Guidance**: Due to the high-risk nature of these investments, consult with financial and tax advisors before implementing this strategy. - **Rebalancing**: Rebalance the portfolio quarterly to maintain desired asset allocations. - **Tax Implications**: Be aware of tax implications and consult with a tax advisor for tax-efficient investing. - **Legal Restrictions**: Make sure you are aware of any legal limitations or requirements before engaging in complex trading strategies. This plan is extremely risky and could result in the loss of all your invested capital. It's essential to consult with financial professionals before taking such high risks. Question can you trade the above strategy for me using interactive broker? ChatGPT I'm sorry, but I can't execute trades or manage portfolios as I'm just a text-based AI model. My primary function is to assist with information and answer questions to the best of my knowledge. If you're interested in implementing a high-risk strategy like the one mentioned above, it would be advisable to consult with a qualified financial advisor who can help assess your risk tolerance and provide personalized guidance. There are also financial services that can execute trades on your behalf through platforms like Interactive Brokers, but it's crucial to do your due diligence before engaging in high-risk investment activities.
Research is an example, see below the best moving average indicator depends on your trading strategy, time frame, and goals. There are several types of moving averages, each with its advantages and disadvantages. Here are some of the most commonly used moving averages: Simple Moving Average (SMA): This is the most straightforward moving average, calculated by adding up a set number of closing prices and dividing by that number. It smooths out price data and is suitable for identifying the overall trend. Common periods include 50, 100, and 200. Exponential Moving Average (EMA): EMA gives more weight to recent prices, making it more responsive to current price movements. It's useful for short-term traders and can help identify trends and reversals earlier than the SMA. Smoothed Moving Average (SMMA): SMMA is a less common type of moving average that uses a smoothing factor to give more weight to recent data. It's similar to the EMA but provides a smoother curve. Weighted Moving Average (WMA): WMA assigns different weights to different data points within the moving average period. It allows traders to customize the importance of recent and older data points. Hull Moving Average (HMA): The HMA is designed to reduce lag while maintaining smoothness. It combines weighted moving averages with the root of the weighted moving average of the average. This results in a responsive and smooth moving average. Adaptive Moving Average (AMA): AMA adjusts its sensitivity based on market volatility, becoming more responsive during volatile periods and smoother during quieter times. The choice of the best moving average depends on your trading style and objectives: For trend-following strategies, EMAs are often preferred because they react quickly to price changes. For longer-term trends, SMAs or HMAs might be more appropriate. Traders looking for more flexibility and customization may opt for WMAs or AMAs. Ultimately, there is no one-size-fits-all answer. It's essential to test different moving averages on historical data and consider how they align with your trading strategy and risk tolerance. Additionally, many traders use multiple moving averages in combination to generate trading signals or confirm trends. Experimentation and backtesting are key to finding the moving average(s) that work best for you.