bffdhw
commented
6 months ago To the best of my knowledge, cryptocurrencies, derivative financial instruments, and futures lack directly applicable financial data such as revenue for the analysis conducted in this study. Therefore, data-driven approaches like technical analysis may be more suitable for identifying profitable trading opportunities.
The focus of this study on financial analysis is primarily because, personally, I did not achieve satisfactory and confident trading strategies through technical analysis. Analyzing the operational performance of companies based on financial data tends to convince me to buy and hold these stocks for the long term.
The current code does not have the functionality to execute trades automatically. This is because I believe it has not been optimized to a level sufficient for market deployment. Additionally, the buy-and-hold strategy involves relatively few trades. Therefore, the recent goal is to primarily optimize the trading performance, and the trading aspect can be accomplished manually through placing orders. However, for the advanced buy-and-hold strategy used in this study, which requires timely stop-loss and buyback actions, automated trading is expected to provide more precise and timely adjustments to the portfolio positions, thereby enhancing trading performance.
Hope this answers your questions, and I appreciate your message and encouragement. :)
Can this be used to identify cryptocurrencies that would bee a good buy? Also not having analysed the notebooks, does the code execute the trades automatically or is that not part of the intended objectives? Also have you used this to analyse derivatives/futures trading? Interesting work btw, well done :)