Python Robinhood Day-Trade Bot
Budget: ₹12,500 – ₹37,500 INR
I already have a fully working Python bot that executes day-trades on the Fyers API for Indian equities. I now need that same logic adapted to the U.S. market on the Robinhood platform.
What I’m looking for:
• Re-engineer my existing Python code so it authenticates with Robinhood’s API, pulls real-time U.S. stock quotes, and submits live orders.
• Preserve the current day-trading logic exactly as is—signal generation, position sizing, risk rules—while replacing the Fyers-specific calls with Robinhood equivalents.
• Build in a lightweight configuration file (YAML or JSON) where I can toggle symbols, trade size, and account credentials without opening the source.
Tech stack & notes:
• Language must remain Python—my entire workflow, scheduling, and logging scripts are in it.
• Core task is “Execute trades”; price monitoring happens inside my logic, so no need for extra analytics modules.
• The final script should run headless on a standard Linux VPS located in the U.S.; please handle any time-zone nuances for market open/close.
• Use well-known libraries (e.g., python-robinhood or your own REST wrapper) but keep external dependencies minimal.
I’ll share the current source and sample trade logs once we start. Deliver a clean, tested repo and I can take it from there.
What I’m looking for:
• Re-engineer my existing Python code so it authenticates with Robinhood’s API, pulls real-time U.S. stock quotes, and submits live orders.
• Preserve the current day-trading logic exactly as is—signal generation, position sizing, risk rules—while replacing the Fyers-specific calls with Robinhood equivalents.
• Build in a lightweight configuration file (YAML or JSON) where I can toggle symbols, trade size, and account credentials without opening the source.
Tech stack & notes:
• Language must remain Python—my entire workflow, scheduling, and logging scripts are in it.
• Core task is “Execute trades”; price monitoring happens inside my logic, so no need for extra analytics modules.
• The final script should run headless on a standard Linux VPS located in the U.S.; please handle any time-zone nuances for market open/close.
• Use well-known libraries (e.g., python-robinhood or your own REST wrapper) but keep external dependencies minimal.
I’ll share the current source and sample trade logs once we start. Deliver a clean, tested repo and I can take it from there.
Related categories:
PHP
JavaScript
Python
Linux
Software Architecture
VPS
JSON
API
REST API
Financial APIs