trust on robotic rading

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  • #16 Collapse

    Re: trust on robotic rading

    Aaj mera breakup day trader Banna Chahte Hain To aapko robotic trading per Kabhi Bhi Insan nahin karna chahie Kyunki robotic trading se ho sakta hai ki aapko thoda bahut fayda ho lekin Nahin se aapke knowledge Mera per Nahin Hoga aur aap chatting ke bare mein nahin 6 Rakhenge agar aap Chahte Hain ki aapki learning Pata Ho aapke pass Achcha experience Aaye aur aap khud se trade kar sakte iske liye jaruri hai Kya Karen aur robotic trading per Kabhi Bhi Na Karen aur Apna experience karne ke liye market Karke Apne Karen
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    • #17 Collapse

      Re: trust on robotic rading

      yar mjhy ni pata ya kia hay majn abb is pa kia cmnts doon marau khiyal ma ya koi mahant karnay wala purza hay to ham ko shayd is main mahant karna hta hay
      • #18 Collapse

        Re: trust on robotic rading

        hamen cahiye ke hum robotic system se kiuch seekha karen is ke liye hamne is main sahe tarah se apne kam ko kiya karen take hum yahan se kuch na kuch hasil kar saken or is main kamayb ho jaen is liye hamen is main mehnat ache tarah se kam ko kiya karen tab he to hum is main kamayb ho jate he hain bas hamen is maj himmat na harne cahiye take hum is main success hasil kar he lete hain hamen kabhe bhe apne kam ko chorna nhe cahiye bake is ke liye hamen mazeed ache tarah se is main kam kokarna ho ga take hum yahan se trake hum yahan se kamyab ho saken or aikmache trader bhe ban saken
        • #19 Collapse

          Re: trust on robotic rading

          hey expensive by no means i'm able to never consider at the robot trading my pricey becaue robot isn't always provide us a earnings and roobt supply us a big quantity of loss so we ought to need to study the manual buying and selling and keep away from to apply all robot trading it will likely be dangerous to us my expensive.
          • #20 Collapse

            اصل پيغام ارسال کردہ از: Muhammad_tanveer پيغام ديکھيے
            Re: trust on robotic rading

            hey expensive by no means i'm able to never consider at the robot trading my pricey becaue robot isn't always provide us a earnings and roobt supply us a big quantity of loss so we ought to need to study the manual buying and selling and keep away from to apply all robot trading it will likely be dangerous to us my expensive.
            Dear robot ka sub sy bara nuqsan yeh hota hai kay ap us pay depend karna shoro ho jaty hain. Robot ap ko theek ya galat signal dy lekin ap ko us ko follow karna hota hai. Jab tak ap apni trading main skills nahi seekhty hain or ap robot ka use karain gy tu ap bad mai robot sy he help lain gy or ap ka experience jo kay trading main nahi hoga tu ap ko loss ho sakta hai. Esleye jab be trading karian manual trading karain. apni strategy or apny analysis ka use kar kay ap achi trading kar sakty hain.
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            • #21 Collapse



              Robotic trading, jo ke algohitmic trading ya algo trading ke naam se bhi mashhur hai, ek tajziyaati tareeqa hai jisme computer programs aur algorithms ko istemal kiya jata hai tijarat karne ke liye. Yeh tareeqa market trends, technical indicators, aur statistical analysis ka istemal karke trades execute karta hai. Lekin robotic trading par bharosa karna ya is per yaqeen rakhna, ek mushkil sawaal hai jise logon ne alag alag taur par dekha hai.

              Pros of Robotic Trading:

              Robotic trading ka ek bara faida yeh hai ke ismein emotions nahi hoti. Algorithms hamesha logical aur predefined rules ke mutabiq kaam karte hain. Isse human errors aur emotional decision-making se bacha ja sakta hai. Algorithms ek fraction of a second mein hazaron trades execute kar sakte hain, jo manually impossible hota hai.

              Robotic trading ki sab se badi khasiyat speed aur efficiency hai. Algorithms market conditions ko bohot tezi se analyze karte hain aur phir instantaneously trades execute karte hain. Isse traders ko faida hota hai kyunki unka order jald execute hota hai, aur market conditions mein hone wale tabdiliyon ka foran jawab milta hai.

              Backtesting Aur Optimization:

              Algorithms ko backtesting aur optimization ke liye istemal kiya ja sakta hai. Isse past market data par testing kiya ja sakta hai ke kaise woh particular algorithm pehle kaam karta tha. Yeh traders ko apne strategies ko refine karne aur improve karne mein madadgar hota hai.

              24/7 Trading Capability:

              Algorithms 24/7 tijarat kar sakte hain, jo manually practically impossible hota hai. Yeh global markets ke movements ko round the clock monitor kar sakte hain, aur har waqt trading opportunities ko dhoondh sakte hain.

              Discipline:

              Robotic trading algorithms hamesha apne set rules aur parameters ke mutabiq kaam karte hain, jisse ke discipline aur consistency maintain hoti hai. Yeh traders ko unke trading plans par qaim rahne mein madad karta hai.













              Cons of Robotic Trading:

              Lekin robotic trading ke kuch challenges bhi hain. Market conditions mein sudden changes hone par ya unexpected events ke samay, algorithms ka response unpredictable ho sakta hai. Over-reliance on historical data bhi ek risk hai, kyun ke market dynamics tabdeel ho sakti hain.

              Technology Risks:

              Robotic trading mein technical glitches aur hardware/software failures ke risk bhi hota hai. Ismein proper monitoring aur risk management ki zarurat hoti hai.

              Losses During Unpredictable Market Conditions:

              Agar market mein sudden aur extreme volatility hoti hai, to algorithms apne predefined parameters ke bahar ja sakte hain, jisse ke losses ho sakte hain.

              Conclusion:

              Robotic trading ek powerful tool ho sakta hai agar ise sahi taur par istemal kiya jaye. Ismein discipline aur efficiency hai, lekin traders ko technology risks aur market uncertainties ka bhi khayal rakhna zaroori hai. Bharosa robotic trading par tabhi kiya jana chahiye jab aap iske pros aur cons ko samajhte hain aur use apne trading strategy ke hisab se istemal karte hain.


              There is a time to go long, a time to go short and a time to go fishing.
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