Indian Market Sentiment Tables
Budget: ₹37,500 – ₹75,000 INR
I have spent the last six years sharing Indian stock-market insights on Twitter and now want to formalise that work. The goal is to turn my proprietary sentiment model—built on 20+ years of raw NSE data—into a fully automated workflow that produces numerical tables for Nifty, Bank Nifty and the most actively traded stocks, refreshed on a daily, weekly and monthly basis.
My method has nothing to do with the usual Moving Average, RSI or Bollinger Band playbooks. I’ll give you the exact formulas once we sign an NDA; your task is to turn those rules into repeatable code, pull fresh data from nseindia.com (or an equivalent authorised source) and deliver clean CSV/Excel tables that are ready for immediate publishing.
Key deliverables
• Data pipeline that fetches historical and new EOD data from NSE
• Well-commented code (Python/pandas, R, or a stack you can prove reliable) that applies my sentiment rules across all required symbols and timeframes
• Output tables for daily, weekly and monthly levels showing sentiment score, support/resistance zones and any additional fields we agree on
• Simple scheduler or script so the tables land in my inbox before each market open, formatted exactly as we specify
Acceptance criteria: results must match the sample spreadsheet I’ll provide, run without manual intervention and handle symbol list changes gracefully.
When you reply, mention similar data-driven market projects you’ve handled and your preferred tech stack so I can assess fit quickly.
My method has nothing to do with the usual Moving Average, RSI or Bollinger Band playbooks. I’ll give you the exact formulas once we sign an NDA; your task is to turn those rules into repeatable code, pull fresh data from nseindia.com (or an equivalent authorised source) and deliver clean CSV/Excel tables that are ready for immediate publishing.
Key deliverables
• Data pipeline that fetches historical and new EOD data from NSE
• Well-commented code (Python/pandas, R, or a stack you can prove reliable) that applies my sentiment rules across all required symbols and timeframes
• Output tables for daily, weekly and monthly levels showing sentiment score, support/resistance zones and any additional fields we agree on
• Simple scheduler or script so the tables land in my inbox before each market open, formatted exactly as we specify
Acceptance criteria: results must match the sample spreadsheet I’ll provide, run without manual intervention and handle symbol list changes gracefully.
When you reply, mention similar data-driven market projects you’ve handled and your preferred tech stack so I can assess fit quickly.