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alpha pipeline applied

pre alpha applied.


- simple strat used, visual one.

- execution wise could be refined, and would look better, used for benchmark.

post alpha applied.


- pipeline ran until ~1k potential alphas.

- data then used through filter, see which ones could be applied to XAUUSD M1.

gpt 5.1 took the wheel.


- here we closed the post alpha code, and let GPT take the wheel with alpha application.

the pipeline

- 2h 21m gave ~200 potential alphas.
- then that data is stored & applied to whatever strat in mind.

- 2h 21m gave ~200 potential alphas.

(gtx 5060)

- then that data is stored & applied to whatever strat in mind.


- completely new strats are creatable through the hypothetical alphas alone.

strats from the pipe

gpt picked this one.


- simple carry fx is the name

- peaks around 1m profit then dd phase (normal dd according to gpt)


- audjpy h4 

- risk management was fixed 100 lots every transaction.

eq affecting outcome

start balance 10k

- deedee looking curve


v4 with usehiddenSL "false"

7fig start balance

- deedee gone


v4 of EA - looking into why this be the case


v3 im gonna test but am lazy

--------------------------------------------------


v4 with hiddenSL"true" 7 fig

v4 with hiddenSL"true" 5 fig


RESULTS/CONCLUSION: hell no bro hiddenSL did not affect eq balance in backtest


will now check v3 but man am lazier than 3 cups of coffee.


(pretty sure hiddenSL is only testable in live conditions - or proven to have difference, not magical but i think so i am)

v3 7g "true" hiddenSL

v3 5f "true" hiddenSL

"false" 7f

"false" 5f



atr filter

v3

v4

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