Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get a Custom Backtesting Engine for Your Trading Strategy

ranveer v.Status: Offline
ranveer v. ranveer v.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from ranveer, priced and ready to go.
ranveer v.Status: Offline
ranveer v. ranveer v.
4.8
Top Rated
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from ranveer, priced and ready to go.

Project details

This Python project is an automated email processing and logging tool designed to streamline inbox management. The script securely connects to a Gmail account, retrieves the most recent unread email, and extracts the sender, subject, and body content. It then utilizes the OpenAI GPT-3.5 Turbo model to generate a concise summary and identify any action items from the email's text. Finally, all this processed information, including a timestamp, is automatically logged as a new row in a specified Google Sheet, creating an organized record of important communications.
AI Development Type
Knowledge Representation, Recommendation System
AI Development Language
Python

What's included $600

These options are included with the project scope.

$600
  • Delivery Time 7 days
  • Number of Revisions 3
    • Detailed Code Comments
    • Knowledge Graph
    • Model Documentation
    • Source Code
Optional add-ons You can add these on the next page.
Fast 3 Days Delivery
+$200
4.8
11 reviews
91% Complete
(10)
9% Complete
(1)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

AR

Avee R.
5.00
Jul 17, 2026
Quant Analyst — Feature-Ranking + Rules for a LuxAlgo Algo-Trading Dataset Great to work with. Timely Delivery.

CN

Chris N.
5.00
May 26, 2026
Quantitative Review & Risk Architecture Audit / Development — Futures Trading System Ranveer did an excellent job reviewing and stress-testing our quantitative trading framework. He was extremely knowledgeable in execution realism, risk architecture, Monte Carlo methodology, and survivability analysis. What stood out most was his ability to identify structural weaknesses without overcomplicating the project, while also giving clear and actionable recommendations. Communication was professional throughout, and the audit significantly improved the way we approach live validation and deployment readiness for our system.

BG

Babji G.
5.00
Mar 28, 2026
Pinescript strategu Ranveer delivered a highly complex Pine Script code with full EMA strategy logic, dynamic bracket orders, breakeven automation, partial exits, trailing stops, and a live dashboard. He was responsive, stood by his work through multiple revision rounds, and explained every technical decision clearly. The final script handles all edge cases. Highly recommended for any serious trading project.

DH

Dave H.
5.00
Feb 5, 2026
Build Trading Automation MVP (Python + PostgreSQL + Live & Paper Trading)

DG

Daniel G.
5.00
Oct 23, 2025
Texting Alerts Program for eBay listings Ranveer is amazing! Helped me make my project complete and helped revise it. Worked quickly and was very available. Highly recommend!
ranveer v.Status: Offline

About ranveer

ranveer v.Status: Offline
Senior Quant Engineer | Algo Trading, Options & Futures Execution
100% Job Success
4.8  (11 reviews)
Chandigarh, India - 3:09 am local time
The market doesn't wait. Neither does my code.

I specialise in building live algorithmic trading infrastructure — execution backends, options signal engines, and broker integrations that run unsupervised in production. My systems are engineered to survive forced reboots, API failures, and market chaos without human intervention. If it touches live money, it has to be right the first time.

Recent Engineering Work:
- Live Options Signal Engine: Architected an asynchronous backend ingesting real-time equities and OPRA data via Polygon, utilizing a proprietary scoring model with ATR logic. Built a low-latency Supabase state persistence layer ensuring full trade-state recovery across server reboots.
- CME Futures Execution & Architecture: Engineered a causally valid execution bridge for CME micro futures, eliminating lookahead bias in TradingView/Pine Script signals and managing resting OCO bracket orders.
- Machine Learning & EDA: Executed multi-feature rule mining (LightGBM/XGBoost) on a 17,236-trade dataset to extract predictive Smart Money Concepts (SMC) rules for AI trading optimization.
- Quantitative Risk Auditing: Conducted 10,000-path Monte Carlo survivability audits on CME MBO frameworks, stress-testing execution realism and adaptive drawdown governance.
- Broker Execution Bots: Automated execution systems integrated with IBKR, Charles Schwab, and Angel One, managing dynamic lot scaling, live P&L tracking, and full crash recovery.

Credentials:
- PCPP1 & PCAP Certified
- Flask open-source contributor (PR #5722)
- Top Rated · 100% Job Success Score

If you're building live trading infrastructure and need an engineer who understands both the code and the market mechanics — send me a message.

Steps for completing your project

After purchasing the project, send requirements so ranveer can start the project.

Delivery time starts when ranveer receives requirements from you.

ranveer works on your project following the steps below.

Revisions may occur after the delivery date.

Design the code

Create the backtesting code as per client's satisfaction.

Testing and Documentation

Review the work, release payment, and leave feedback to ranveer.