Algo trading kya hai? Beginners ke liye simple guide

AKQX QuantumTrade team ki taraf se · Sirf padhai ke liye, investment advice nahi. Examples ke numbers banawati hain aur tareeka samjhane ke liye hain, kisi asli result ke nahi.

Mukhya baatein

• Algorithm bas ek rule hai jo itna saaf likha ho ki computer follow kar sake.
• Automation hesitation hatati hai. Edge nahi deti.
• Galat rule ko algo perfectly aur tezi se follow karta hai. Isliye limits pehle se lagani padti hain.
• Sab kuch bina asli paise ke seekha ja sakta hai: historical data aur virtual capital se.
• Kaun sa automation kahan allowed hai, ye alag-alag desh aur product par depend karta hai.

Algorithm asal me karta kya hai?

Jargon hata do to ek algo strategy chaar faisle hai jo pehle se kar liye jaate hain: entry kab, exit kab (chale to bhi, na chale to bhi), kitna size, aur kuch galat ho to kya karna hai. Haath se trade karne wala har trade par ye chaaron faisle dobara karta hai, aksar pressure me. Algo ye faisle ek baar rule likhte waqt kar leta hai, aur phir har baar wahi apply karta hai.

Isliye rule ka saaf hona sabse zaroori hai. "Strong lage to buy karo" rule nahi hai. "Pichle 20 candles ke high ke upar close aaye to buy karo, capital ka 1% risk karo, stop pichle 10 candles ke low par" rule hai.

Rule order kaise ban jaata hai?

1. Data aata hai: exchange se prices, candles ya individual trades ke roop me.
2. Rule check hota hai: kya entry ki conditions pooree hui?
3. Size nikalta hai: aapke risk aur stop ki doori se, leverage cap jaisi limits ke saath.
4. Order jaata hai: exchange ya broker ko, aam taur par aapki apni API key se.
5. Position sambhali jaati hai: stop, target aur loss limits apne aap kaam karte hain.

Testing me ye teen stages alag kyun hain?

Backtest me data purani history hai aur fill assume hota hai. Paper trading me data live hota hai par paisa virtual hota hai. Sirf live trading me asli orders asli paise se jaate hain. AKQX in teen ko alag aur isi order me rakhta hai, aur live jaana hamesha aapka apna faisla hota hai.

Isme kya acha hai aur kya kamzor?

• Acha: consistency. Ek hi rule Tuesday dopahar ko bhi lagta hai aur teen losses ke baad bhi.
• Acha: pehle test kar sakte hain. Rule saaf hai to history bata sakti hai ki wo coherent tha ya nahi.
• Acha: exits me discipline. Stop apne aap lagta hai.
• Kamzor: edge nahi dhoondhta. Wahi rule chalata hai jis par aap bharosa karte hain.
• Kamzor: ye nahi pehchanta ki market badal gayi hai. Purana setup chalata rahega.
• Kamzor: data feed stale ho jaye ya order reject ho jaye to wo bhi ek alag risk hai.

Panch myths jo jaldi chhod do

• "Programmer hona zaroori hai." Nahi. Visual builders bhi hain. Zaroori hai rule ko saaf bata paana.
• "Algo isliye jeetta hai kyunki wo tez hai." Zyadatar retail algos candles par chalte hain, jahan speed nahi, consistency ka fayda hai.
• "Backtest chal gaya matlab algo chalega." Backtest sabse optimistic check hai. Wo pehla step hai, aakhri nahi.
• "Ek baar chala diya to bhool jao." Data feed, rejections aur margin par nazar rakhni padti hai. Alerts aur limits chahiye.
• "Zyada indicators matlab smart algo." Har naya setting history ke noise me fit hone ka naya rasta hai.

Shuru karne ka sahi tareeka

1. Pehle shabd seekho. Glossary me 44 terms saral bhasha me hain.
2. Ek simple rule likho: do ya teen settings, ek hi line me.
3. Fees aur slippage ke saath backtest karo.
4. Use todne ki koshish karo: ek setting thoda badlo, dekho result girta hai ya nahi.
5. Paper trading me chalao aur backtest se compare karo.
6. Uske baad, agar chaho, to bahut chhote amount se, jo poora jaye to bhi koi farq na pade.

Ek example, banawati numbers ke saath

Illustrative only (sirf samjhane ke liye banaye hue numbers): ek rule hai: pichle 20 candles ke high ke upar close aaye to long. 1-hour candles par ek saal ke backtest me 90 trades aaye, 36 jeete aur 54 haare. Jeetne wale trade ka average 2.0 unit aur haarne wale ka 1.0 unit. Win rate 40% hai. Expectancy = 0.40 × 2.0 − 0.60 × 1.0 = 0.2 unit per trade, costs se pehle. Agar fees aur slippage 0.15 unit per trade lete hain to bachta hai sirf 0.05. Algo ne ye patla edge nahi banaya, aur automation ise badha nahi sakti. Test ne bina paise lagaye bata diya ki idea marginal hai.

English me padhna chahein?

Yahi guide English me bhi hai: English version. Dono alag-alag likhe gaye hain, ek-doosre ka akshar-ba-akshar anuvaad nahi hain.

Questions about algo trading kya hai

Aur padhein