Arrayfunction
:
Depends on your risk level! All the technical indicators I like to use (primarily volume and trend based) points towards it having a downward trend. And based on @Jaguar8 's also helpful information, it looks like the spike came from a one time event that restored some confidence to the brand. But it seems more like a 'buying time' sort of play rather than anything that would indicate a drastic improvement in their business performance.
I have attached the indicators I personally use and would be happy to exchange our respective trading strategies if you'd like or if I can be of any help!
Jaguar8
Arrayfunction
:
Correct. We have yet to see how these industry experts they bring in will help them in their capital raising and hence no immediate effect on financial aspect. The spike is just based on the news and will just be good probably at most for 2 days
You can customize them by clicking that little four squares button next to the main chart. -Then click indicators. -Then the "more" option to pull up the full list of technical indicators built into the app by default. -From there you just click the star icon of the ones that you want. The settings cog for each also has an indicator explanation button you can read up on and get a basic "entry point" vs "exit point" rule set for them. - You can also create your own technical indicators on the desktop client which can then be added to the mobile app as options. Haven't tried that yet but Moomoo support told me my goal of setting one up to integrate the 2nd derivative at various time lengths to measure volatility was theoretically possible. - I prefer to have the sub-plots stacked like that because it would be a nightmare to have them all in one considering how much the y-axis ranges differ. - You can multiple sub-plots by either selecting them in the indicator settings or by tapping the abbreviation on the bottom right hand side of the final row. It is a pain to reorder them though.
I hope that helps, but please let me know if a different tutorial style would help you more!
Which indicators you find most useful will be based on your preferred trading style and how your brain likes to math. So from there it's mostly experimenting on what you like best!
I prefer the indicators that incorporate more than one type of predictor variable (e.g. VRSI and STOCHRSI vs standard RSI) because I am used to identifying trends based on hyper-dimensional predictors from my background in ecology.
Arrayfunction
103073416
:
I am still learning too! I do a lot of not very scientific trial and error, especially playing with the calculation windows, where I try out the various indicators and see how they look in the past data of stocks.
I don't focus on trying to find the ones that are 100% all the time - instead looking at the ones that best track the longer trading styles. It doesn't matter to me if an indicator doesn't predict swing trading well because that's personally not something I am going to do (it's not worth stress and time with my portfolio size).
To be a bit more abstract, indicators follow the same principle that every model does. There are always three possible qualities - precision, realism, and generalizability - and no model can ever be great at more than two at a time. I personally choose to sacrifice generalizability, which means it's not going to pick up on every kind of profitable movement, for the sake of being more confident in the ones it does pick up, if that makes sense?
I am happy to answer any particular questions that come up for you, if I am qualified to answer them. But paper trading is also a great place to learn too! Picking out what works at both large and small sizes has been quite helpful.
If you were more motivated than me, you could just pull the last 30 years of data and train a random forest model on that using all the indicators and metrics Moomoo has to find the most important ones. If you are able to find an API to grab the data from and put a bit of practice into R or Python, it's not something you would need a super computer or anything for.
Arrayfunction : Depends on your risk level! All the technical indicators I like to use (primarily volume and trend based) points towards it having a downward trend. And based on @Jaguar8 's also helpful information, it looks like the spike came from a one time event that restored some confidence to the brand. But it seems more like a 'buying time' sort of play rather than anything that would indicate a drastic improvement in their business performance.
I have attached the indicators I personally use and would be happy to exchange our respective trading strategies if you'd like or if I can be of any help!
Jaguar8 Arrayfunction : Correct. We have yet to see how these industry experts they bring in will help them in their capital raising and hence no immediate effect on financial aspect. The spike is just based on the news and will just be good probably at most for 2 days
103073416 Arrayfunction : how do we set up the charts below like your attachment?
Arrayfunction 103073416 : Those are what is called "sub-plots" in the interface.
You can customize them by clicking that little four squares button next to the main chart.
-Then click indicators.
-Then the "more" option to pull up the full list of technical indicators built into the app by default.
-From there you just click the star icon of the ones that you want. The settings cog for each also has an indicator explanation button you can read up on and get a basic "entry point" vs "exit point" rule set for them.
- You can also create your own technical indicators on the desktop client which can then be added to the mobile app as options. Haven't tried that yet but Moomoo support told me my goal of setting one up to integrate the 2nd derivative at various time lengths to measure volatility was theoretically possible.
- I prefer to have the sub-plots stacked like that because it would be a nightmare to have them all in one considering how much the y-axis ranges differ.
- You can multiple sub-plots by either selecting them in the indicator settings or by tapping the abbreviation on the bottom right hand side of the final row. It is a pain to reorder them though.
I hope that helps, but please let me know if a different tutorial style would help you more!
Which indicators you find most useful will be based on your preferred trading style and how your brain likes to math. So from there it's mostly experimenting on what you like best!
I prefer the indicators that incorporate more than one type of predictor variable (e.g. VRSI and STOCHRSI vs standard RSI) because I am used to identifying trends based on hyper-dimensional predictors from my background in ecology.
103073416 Arrayfunction : got it. appreciate the sharing. I'm not used to reading technical indicator yet. will read up. thanks again
Arrayfunction 103073416 : I am still learning too! I do a lot of not very scientific trial and error, especially playing with the calculation windows, where I try out the various indicators and see how they look in the past data of stocks.
I don't focus on trying to find the ones that are 100% all the time - instead looking at the ones that best track the longer trading styles. It doesn't matter to me if an indicator doesn't predict swing trading well because that's personally not something I am going to do (it's not worth stress and time with my portfolio size).
To be a bit more abstract, indicators follow the same principle that every model does. There are always three possible qualities - precision, realism, and generalizability - and no model can ever be great at more than two at a time. I personally choose to sacrifice generalizability, which means it's not going to pick up on every kind of profitable movement, for the sake of being more confident in the ones it does pick up, if that makes sense?
I am happy to answer any particular questions that come up for you, if I am qualified to answer them. But paper trading is also a great place to learn too! Picking out what works at both large and small sizes has been quite helpful.
If you were more motivated than me, you could just pull the last 30 years of data and train a random forest model on that using all the indicators and metrics Moomoo has to find the most important ones. If you are able to find an API to grab the data from and put a bit of practice into R or Python, it's not something you would need a super computer or anything for.