Freelancers using Python in Chennai
Freelancers using Python in Chennai
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Raj Kumar
Chennai, India
Algo Trading Developer - Pine Script,MQL5 &Python Automation
17
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Algo Trading Developer - Pine Script,MQL5 &Python Automation
1
Designed and implemented a robust webhook-based trading automation system that connects TradingView signals to real-time trade execution via the Tradovate API. The system is built using Python and handles signal reception, validation, and order execution in a seamless automated pipeline. The architecture ensures low-latency communication, secure data handling, and reliable execution of trades without manual intervention. It processes incoming webhook alerts, applies validation logic, and triggers precise API-based trade execution. Key features include: • Real-time webhook signal processing (TradingView alerts) • Python-based signal receiver and validation engine • Secure and reliable API integration (Tradovate) • Low-latency execution pipeline • Fully automated trade workflow (zero manual input) • Scalable design for multi-strategy integration This solution is ideal for traders and firms looking to automate their strategies using webhook-driven architecture, enabling faster execution, reduced human error, and consistent performance in live trading environments.
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107
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Developed a fully automated trading system for MetaTrader 5 (MT5) that executes trades based on validated multi-indicator signals. The system integrates TradingView-generated signals with a Python-based processing engine, which evaluates multiple technical conditions before triggering precise trade execution. The Expert Advisor (EA) is designed with advanced trade logic, risk management, and real-time execution capabilities. It ensures consistent performance by removing emotional decision-making and strictly following predefined rules. Key features include: • Automated trade execution on MT5 (buy/sell orders) • Integration with external signal sources (TradingView via webhook) • Multi-indicator validation (RSI, EMA, ADX, Volume, etc.) • Built-in risk management (lot sizing, SL/TP control) • Real-time processing with minimal latency • Fully customizable strategy logic This system enables traders to automate their strategies end-to-end — from signal generation to execution — ensuring speed, accuracy, and consistency in live market conditions.
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Engineered a high-performance Python-based trading signal engine designed to generate precise and reliable trade signals using multi-indicator confluence logic. The system evaluates over 12 technical indicators including RSI, EMA, ADX, Volume, and trend-based conditions to identify strong market opportunities while effectively filtering out noise and false signals. The architecture is built to process real-time market data, validate multiple conditions simultaneously, and trigger only high-probability trade setups. This significantly improves signal accuracy and reduces unnecessary trades. Key capabilities include: • Multi-indicator confluence engine (12+ conditions) • Real-time signal processing and validation • False signal reduction using layered logic • Scalable architecture for integration with trading APIs • Seamless compatibility with automated execution systems (webhooks, APIs) This system can be integrated with platforms like TradingView, Tradovate, or custom trading environments to enable fully automated trading workflows — from signal generation to execution. Designed for traders and firms looking to achieve consistent, rule-based, and emotion-free trading through intelligent automation.
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Built a complete end-to-end automated trading system that captures alerts from TradingView, processes them through a Python-based webhook engine, validates multi-condition logic, and executes trades directly via the Tradovate API — eliminating manual intervention and improving execution speed and accuracy.
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89
Python
(5)
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Aditya Mohapatra
Chennai, India
ML & Data Science | IIT Madras Graduate
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ML & Data Science | IIT Madras Graduate
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Random walk scaling on networks
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7
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Waste Segregation CNN
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1
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Web Scrapping and NLP
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3
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Python
(3)
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Thananjayan Rajasekaran
Chennai, India
Expert QA Engineer | Automation & Test Ops Guru
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Expert QA Engineer | Automation & Test Ops Guru
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Test Scripting to Monitoring
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1
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k6: Live streaming of results and monitoring
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0
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Java-Based Testing Frameworks for Software Quality Assurance
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Python
(1)
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Mohit Kushwaha
Chennai, India
Fullstack Developer, Certified DevOps Engineer
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Fullstack Developer, Certified DevOps Engineer
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ohitsmeMohit/Song-recommender-System
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15
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Portfolio Website
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10
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KimtVak8143/ClimateActionPlanner
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13
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Python
(1)
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Venkateshan J
Chennai, India
Senior Software Engineer
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Senior Software Engineer
1
Power up your customer support with Zendesk
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2
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Signet Jewelers - Signet Jewelers | Home
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25
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IDFC FIRST BANK
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3
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Python
(3)
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Nishanth R
Chennai, India
Pixel-Perfect Fullstack Engineer
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Pixel-Perfect Fullstack Engineer
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Faculty Leave Management System
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10
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DebugMaster: A Competitive Debugging Event Platform
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14
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Human Anatomy AR VR
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11
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Python
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Arthi Arumugam
pro
Chennai, India
Full-Stack Developer & Data Engineer | AI-Augmented Delivery
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Full-Stack Developer & Data Engineer | AI-Augmented Delivery
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I built Fileflip - an
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Palettify — Website Color Extractor Extract
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Built a production-ready SaaS analytics
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I built TaskMelt — AI-powered
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Python
(1)
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Rajagopalan G
Chennai, India
AWS FinOps expert cutting cloud costs for 7 years
New to Contra
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AWS FinOps expert cutting cloud costs for 7 years
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Delivered $1.3M+ AWS savings in 2025 through strategic FinOps initiatives including EC2 rightsizing, Savings Plans optimization, Reserved Instances, EBS cleanup, S3 optimization, and continuous governance across 200+ AWS accounts.
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Designed and implemented an AWS cost dashboard for 200+ accounts to provide centralized spend visibility, service-wise breakdown, monthly trends, forecasting, and business-unit level reporting. Replaced manual Excel reporting with automated, interactive analytics dashboards.
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EC2 and EBS rightsizing assessment focused on reducing waste and improving cloud efficiency. Analyzed CPU, memory, storage utilization, IOPS, and throughput to identify oversized instances, underutilized volumes, and cost-saving opportunities without impacting performance.
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AWS FinOps automation solution built using Python and cloud reporting tools to streamline cost management processes. Implemented automated billing reports, anomaly alerts, tagging compliance checks, savings trackers, and executive dashboards for real-time AWS spend visibility and continuous optimization.
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17
Python
(1)
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