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shikhar_quant

Shikhar A

@shikhar_quant

Python Quant Developer Algorithmic Order Flow Trader

India
English, Hindi
About me
With 3.5 years of active trading experience, I am a Quant Developer who transitioned from manual order-flow to building systematic, mathematically verified algorithms. I specialize in translating your trading logic into robust Python infrastructure. What I offer: • Automation: Turning your manual edge into flawless Python execution. • Hedge Fund Grade Logic: Replacing retail indicators with the institutional statistical models and risk frameworks used by top firms. • Diagnostics: Deep backtesting to pressure-test your capital. Stop trading retail noise. Let's automate your proven edge.... Read more

Skills

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shikhar_quant
Shikhar A
Offline • 

See my services

Trading Bots Development
I will build a custom python algorithmic trading bot for mt4 mt5 and all brokers
From$35 / projectMore details

Work experience

Freelancing_Career

Financial Researcher & Trading Educator (Fund Me Not)

Freelancing Career • Part-time

Dec 2025 - Present • 5 mos

Financial Researcher and core team member for Fund Me Not, a financial education community for Gen Z (7,000+ followers, 600+ Discord members). As a collaborative team, we publish a weekly macroeconomic newsletter and host daily voice chats and monthly live events to discuss global markets and sentiment. Within the core team, my primary responsibility is researching financial news and analyzing market impacts to drive our content. I also lead specialized educational sessions; during one of our major live events, I designed and taught a structured trading curriculum to 30+ beginners, guiding them through market microstructure and practical trading logic.

Self_Employed

Quantitative Developer & Algo Trader

Self Employed • Self-employed

Jul 2025 - Present • 10 mos

I build algorithmic trading systems using institutional-grade logic, making high-level quantitative analysis accessible and easy to understand. My focus is combining hard data with real-world market context to build strategies that actually work. What I bring to the table: • Python & Automation: Turning manual trading rules into precise, testable algorithmic systems. • Order Flow Data: Reading raw order flow to find the true market edge instead of relying on lagging retail indicators. • Macro & Political News: Analyzing global events and political news to understand and predict their exact impact on market direction. • Competitive Analysis: Building robust risk frameworks to ensure your strategies survive volatile, real-world conditions.