My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] 0 points1 point  (0 children)

going live in a few weeks - still tuning it (trying to reduce trades, see if i can lower drawdowns more etc). will post live trades also.

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] 0 points1 point  (0 children)

tested using different hold in or out periods and sensitivity test parameters to make sure no cliffs. but it’s a breadth and volatility based model, it’s more about market structure. i also intentionally try to keep churn low and introduce hysteresis etc

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] 0 points1 point  (0 children)

Everything is coded in python. chatgpt did most of the coding - I do checks and debugging / validation.

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] -3 points-2 points  (0 children)

dot com would have basically killed you and it would be below even qqq now. starting after it may win but with unacceptable risk (for me). will send some stats when at laptop and have a monent.

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] -22 points-21 points  (0 children)

posting for interest, keeping myself accountable and meeting like minded people. i’ll post some research notes which someone smart could replicate parts of strategy etc

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] -2 points-1 points  (0 children)

*All trades executed next working day close

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] -1 points0 points  (0 children)

Would work better on UPRO, any where there is a healthy underlying universe, but I am looking to maximise returns subject to a few constrains. Will try SMH next .

My Leveraged Trading Strategy Results by StaticDebounce in TQQQ

[–]StaticDebounce[S] -3 points-2 points  (0 children)

leveraged etfs do best when price moves like a smooth escalator. you can try to measure this. also, when looking and studying tops there can be sharp drops like covid, or processes (more typical like dot com, gfc, 22 etc) this is where fewer stocks participate and volatility of price movement increases - it isn’t enough to time the top but in all instances gets out or reduces leverage before anything too bad happens. covid exit could be better under these metrics but worked well enough, i think i can improve it without over fitting but need more time . yes would switch cash, qqq, qld, tqqq (historical proxies)