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Kiara-Dev-Team / kiara-ai

We solve the extreme difficulty in recruiting executives. Specifically, we have an ambitious plan to replace executive-level personnel using large language models and ChatGPT.
https://kiara.team
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19 May - Boundary check - within probalistic space #43

Open daijapan opened 1 month ago

daijapan commented 1 month ago

boundary = clearly, nothing is deterministic except our own decision

daijapan commented 1 month ago

step 1 : calculate this X - let's suppose the following can be valid in 70% of cases of 10 different nasdaq tech company stock for 2021-2023. (3yrs) (conditonal stock price under $20 on 1st Jan 2021) a- buy at "the d' MA > 0 for 30days" type of uptrend = condition A b-try to sell it after 90days (hoping the price goes up) = condition B c- upside threshhold as +30%up = C d - downside threshhold as -10% down = D e - if in 30 cases, c happens in 3 cases, d happens in 10 cases = offsetting f - other 60cases are in between -10% and +30%. g - maybe we are not earning or losing anything

daijapan commented 1 month ago

step 2 : what is optimal of B? step 3: what is optimal of C? step 4 : what is optimal of D? step 5 : can 1 to 4 be applicable for 100 different nasdaq tech stock? step 6 : how can we improve A?