Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a python algorithmic trading bot with backtesting for stocks, crypto
I will design manufacturing ready UAV drone CAD and run FEA structural analysis
I'm Narendra — founder of Aerora Dynamics, mechanical engineering student at NIT Andhra Pradesh. I specialize in drone systems: airframe structural design, FEA stress analysis, and production-ready as...
About this Gig
Welcome to your elite Algorithmic Trading & Quantitative Development studio. I specialize in architecting high-performance, automated trading bots, custom execution scripts, and machine learning strategies using Python.
Whether you trade Crypto, Equities, or Forex, I translate your manual technical strategies into reliable, automated, 24/7 execution pipelines.
What I deliver with this specialized algorithmic Gig:
1. AUTOMATED TRADING BOTS & API INTEGRATION:
Low-latency connectivity to global exchanges utilizing the CCXT library engine framework.
Secure, thread-safe integration of private REST and live WebSocket API streams.
Robust execution logic: Market/Limit orders, Take-Profit/Stop-Loss management, and risk rules.
2. QUANTITATIVE STRATEGIES & ML PREDICTION:
Implementation of structural indicators (Moving Averages, RSI, Bollinger Bands, Order Flow).
Integration of Machine Learning models (Scikit-Learn/TensorFlow Regressors) to process historical market structures and identify probabilistic entry/exit nodes.
3. DETREMINISTIC BACKTESTING & LOGS:
Vectorized or event-driven backtesting wrappers to validate performance parameters (Win-Rate, Drawdown, Profit Factor).
Platform:
TradingView
•
Prop firm
•
Binance
Development technology:
Python
•
PineScript
•
MQL5
My Portfolio
FAQ
Do you provide profitable trading strategies or financial advice?
No. I do not provide pre-built financial strategies, signals, or investment advice. I am a software engineer who builds the technical automation infrastructure, execution logic, and API connectors based strictly on your personal trading rules and mathematical parameters.
Which financial markets and API connections do you support?
I specialize in building modular Python bots for Cryptocurrency markets utilizing the CCXT library, giving you seamless connectivity to major global exchanges like Binance, Coinbase, and Kraken. I safely handle private REST authentication layers and live WebSocket streams for real-time tracking.
How do you validate a strategy before running it live?
I structure vectorized backtesting models to cross-verify your rules against historical market datasets. This generates transparent validation logs including metric results like historical Win-Rate, Maximum Drawdown tracking, and Profit Factors before you choose to connect live capital keys.
