Kartikey Yadav
@kartikeyyadav
I build data-driven equity research and machine-learning trading strategies using Python and quantitative analysis.
What I'm looking for
I've conducted multi-stock analysis at Launched Global, evaluating investment opportunities through financial ratios, industry data, technical indicators, and risk/reward frameworks.
I build quantitative trading research in Python, including an ML-based ATR trading system using Random Forest, RSI, ATR, and MACD. I applied time-series validation, next-candle execution, position sizing, stop-losses, take-profit rules, Sharpe Ratio, and drawdown analysis to reduce bias and assess performance.
My research also compares machine-learning classifiers for gold price direction, using out-of-sample testing, F1-score, McNemar's test, and backtesting to evaluate predictive edge realistically.
Experience
Work history, roles, and key accomplishments
Equity Research Intern
Launched Global
May 2025 - Jul 2025 (2 months)
Conducted multi-stock analysis using fundamental metrics, financial ratios, industry data, and technical indicators. Analyzed and compared investment opportunities using risk/reward frameworks and market research tools to drive data-based decision-making.
Education
Degrees, certifications, and relevant coursework
GITAM University, Bangalore Campus
Bachelor of Business Administration, Business Administration
Grade: 8.97 CGPA
Pursuing a Bachelor of Business Administration with a current CGPA of 8.97.
Maa Bharti Sr. Sec. School
Class XII (CBSE), General
Grade: 76.4%
Completed Class XII (CBSE) with a score of 76.4%.
Maa Bharti Sr. Sec. School
Class X (CBSE), General
Grade: 79.8%
Completed Class X (CBSE) with a score of 79.8%.
Availability
Location
Authorized to work in
Job categories
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