Discretionary trading done systematically.
Joined October 2023
- Tweets1K
- Following203
- Followers837
- Likes2.7K
Pinned Tweet
Quite happy with my "finished" layout of the platform. Very easy to use now from write and backtest single strategies to backtest a combined portfolio. Strategies are written in Python code in the platform and they can be deployed directly.
I can track missed trades, follow up live performance, automate all the screening and order submission.
I use Pushover for notifications to my phone so I can follow whats happening without being on the computer.
A picture says more than a thousand words 😅
Lot of pain yesterday. On the positive side - very good that I have reduced my risk/position size on my mean reversion strategies.
This tough environment will probably not last forever 😀
Though numbers to compare againt now year over year. Trying to focus on the big picture 😀
I really feel that my portfolio is more robust now and is better suited for long term performance. It would be nice to start seeing evidence of that soon though 😂
This is a very simple price action strategy that I have taken from @GoshawkTrades if I remember correctly, thank you!
Rules are simple:
- High lower than previous High
- Low lower than previous Low
- Buy if price crosses over High
- Exit after two bars
Traded live since the marker of 22 october 2024.
Damnit $BE, I said plus 11%.
No evidence yet that my portfolio changes are working 😂
(In this kind of environment I don't expect my systems to produce profits so I won't revise my changes yet.)
Y-Y looks terrible. Second picture is for the whole systematic period. Feel like I have to zoom out to keep the spirit up today 😀
Calm week again. I don't know why, but the 5 day return from IBKR report doesn't seem to be correct. My numbers says I'm more or less flat for the week. Maybe some after hours move that I have missed...
Calm week, not much to say really. Have quite a lot of long exposure now going in to next week so hopefully no monday flush 😂
I took some discretionary trades yesterday, $MU and $SNDK . After watching all of Kristjan Kullamägis streams at least twice I couldn't watch those breakouts and accept that my system was not going to participate in those tickers.
This is either:
- A problem because I can't accept my systems fully.
- 6 years of studying is showing some progress in the regards that the feeling was correct - the breakouts were to good to pass on.
It is probably the former of the two 🤣
I'm very happy about my progression recently.
I have adjusted my set of strategies and lowered overall risk and exposure. It seems like a more robust approach now than a couple of weeks ago. Hopefully that change reflects the performance going forward :)
I have had the opinion, and have also made some comments, that mean reversion strategies probably work better on survivorship-bias-free universes. My logic behind this thinking was that stocks included in an index have more institutional buying coming in when they dip.
Turns out I was wrong about that. Performance is actually worse on survivorship-bias-free data.
First picture is with todays QQQ tickers and the second one is with survivorship-bias-free data.
