You will get a custom Python algorithmic trading bot for crypto or stocks


Project details
You will get a high-performance, robust algorithmic trading bot built strictly in Python. I specialize in building modular strategy engines and low-latency infrastructure capable of processing high-frequency live market data feeds. Leveraging robust integration libraries like CCXT, I construct robust backtesting frameworks to validate your strategies with zero forward-looking bias before live capital deployment. All deliverables feature optimized code, dynamic risk parameters, and clean API connector loops.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, ChatGPT, Deeplearning4j, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SQL, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$90
|
Advanced
$199
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
About Narendra
Advanced Systems Engineer | Python Automation, Machine Learning & CAD
Bengaluru, India - 7:48 pm local time
Steps for completing your project
After purchasing the project, send requirements so Narendra can start the project.
Delivery time starts when Narendra receives requirements from you.
Narendra works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy Logic & Backtesting
I write the core algorithmic rules in Python and run extensive historical simulations with realistic slippage/fees calculation.
API Integration & Live Deployment
Connecting the engine to your live broker exchange endpoint via secure WebSockets/REST APIs and setting up error handling fail-safes.