Python & Pine Trend Algo Scripts for Scalping
Budget: ₹600 – ₹1,500 INR
I’m building a fully automated, trend-following system for the Indian markets—specifically Nifty, Bank Nifty and Sensex—and I need the core logic coded in both Python and Pine Script. The strategy is straightforward in concept but I want it engineered for speed, stability and clean hand-off.
Strategy outline
• Entry and exit logic driven by moving-average crossovers supplemented with real-time VWAP confirmation. Target Should be 1:2/1:3 and Stop Loss - ATR or 50 Points or 1500 Rs
• Only market orders are required; no limit or stop logic is necessary at this stage.
Your task
1. Write the Pine Script version for TradingView so I can visual-back-test and fine-tune parameters on the chart.
2. Build the production-grade Python counterpart ready to plug into my broker’s API (Zerodha Kite, FYERS or Angel—happy to adapt once the core is done).
3. Include reusable functions for signal generation, position sizing and risk checks so I can extend the code later without a rewrite.
4. Supply concise documentation plus a sample back-test report that proves the two versions generate identical signals on the same historical data.
Acceptance criteria
• Matching entry/exit timestamps between Pine and Python for at least one year of 5-minute data.
• Zero unhandled exceptions during a 520-hour paper-trading run.
• Clear inline comments explaining every calculation step.
If you’ve already tackled complex, multi-indicator algos for Indian derivatives and can show verified results, I’d like to work together.
Strategy outline
• Entry and exit logic driven by moving-average crossovers supplemented with real-time VWAP confirmation. Target Should be 1:2/1:3 and Stop Loss - ATR or 50 Points or 1500 Rs
• Only market orders are required; no limit or stop logic is necessary at this stage.
Your task
1. Write the Pine Script version for TradingView so I can visual-back-test and fine-tune parameters on the chart.
2. Build the production-grade Python counterpart ready to plug into my broker’s API (Zerodha Kite, FYERS or Angel—happy to adapt once the core is done).
3. Include reusable functions for signal generation, position sizing and risk checks so I can extend the code later without a rewrite.
4. Supply concise documentation plus a sample back-test report that proves the two versions generate identical signals on the same historical data.
Acceptance criteria
• Matching entry/exit timestamps between Pine and Python for at least one year of 5-minute data.
• Zero unhandled exceptions during a 520-hour paper-trading run.
• Clear inline comments explaining every calculation step.
If you’ve already tackled complex, multi-indicator algos for Indian derivatives and can show verified results, I’d like to work together.
Related categories:
C Programming
Python
Software Architecture
C++ Programming
Pine Script
Data Analysis
API Development
Backtesting