Kotak
Stockshaala
एल्गोरिदमिक ट्रेडिंग (algorithmic trading) का परिचय शुरुआती लोगों के लिए
स्तर
शुरुआती
Access
मुफ़्त सभी के लिए
6 मॉड्यूल्स (modules)
23 अध्याय (chapters)
आप क्या सीखेंगे?
एल्गोरिथमिक ट्रेडिंग (algorithmic trading) के विकास को समझें, भारतीय बाजारों में इसकी भूमिका और यह पारंपरिक मैनुअल ट्रेडिंग (manual trading) से कैसे भिन्न है।
चार्ट पैटर्न्स (chart patterns) और टेक्निकल इंडिकेटर्स (technical indicators) को स्ट्रक्चर्ड, कोड-रेडी लॉजिक (structured, code-ready logic) में बदलकर रूल-बेस्ड स्ट्रेटेजीज़ (rule-based strategies) डिजाइन करना सीखें।
कुंजी घटकों जैसे सिग्नल जनरेशन (signal generation), फिल्टर्स (filters), और एक्ज़िक्यूशन फ्रेमवर्क्स (execution frameworks) को एक्सप्लोर करें जो किसी भी ट्रेडिंग सिस्टम (trading system) की रीढ़ होते हैं।
Gain practical insights into बैकटेस्टिंग (backtesting), पोजीशन साइजिंग (position sizing), और रिस्क कंट्रोल (risk control), और जानें कैसे एक स्ट्रेटेजी (strategy) की रोबस्टनेस (robustness) को लाइव जाने से पहले इवाल्यूएट (evaluate) करें।
सेबी (SEBI) के रेगुलेटरी फ्रेमवर्क (regulatory framework), ब्रोकर एपीआईज (broker APIs), और रिटेल अल्गो सिस्टम्स (retail algo systems) को सुरक्षित और प्रभावी ढंग से बनाने और डिप्लॉय करने के लिए आवश्यक इंफ्रास्ट्रक्चर (infrastructure) को समझें।
This content has been translated using a translation tool. We strive for accuracy; however, the translation may not fully capture the nuances or context of the original text. If there are discrepancies or errors, they are unintended, and we recommend original language content for accuracy.
FAQs On Algorithmic Trading
The Algorithmic Trading course by Kotak Stockshaala teaches how to design, test, and deploy automated trading strategies. Across 6 modules and 23 chapters, learners explore algorithm development, backtesting methodology, execution systems, risk controls, and performance evaluation for systematic trading in Indian equity and derivatives markets.
This course suits traders with basic market knowledge who want to automate rule-based strategies, and quantitatively inclined investors who want to remove emotional bias from trading. It is relevant for anyone interested in systematic trading on NSE or BSE, with or without a programming background.
Topics include introduction to algorithmic trading, strategy development frameworks, backtesting methodology, execution infrastructure, order management, risk and position sizing, performance metrics (Sharpe ratio, drawdown), and regulatory considerations for algo trading in India, organized across 6 modules and 23 chapters.
The course spans 6 modules and 23 self-paced lessons, progressing from strategy logic and design through backtesting and live execution infrastructure. The structure is suited for learners who want to validate a trading algorithm thoroughly before deploying it in live Indian markets.
Learners develop skills in designing rule-based trading strategies, constructing and interpreting backtests, understanding order execution infrastructure, managing algorithmic risk, evaluating strategy performance using metrics like Sharpe ratio and maximum drawdown, and applying quantitative methods to market data.
This course covers the full algo development cycle, from trading idea to live execution. Learners gain the knowledge to rigorously test strategies against historical data before risking capital, significantly increasing the probability of deploying a robust and consistent automated trading system.
Recommended Courses for you
Learn, Invest, and Grow with Kotak Videos
Explore our comprehensive video library that blends expert market insights with Kotak's innovative financial solutions to support your goals.
Trading with collateral as margin with Kotak Neo
How India is Redefining Space Exploration
