You will get I will build or improve your Python trading bot with technical indicators
Rising Talent
Rising Talent
Project details
I will design and build a Python trading bot based on your rules and indicators (for example EMA, RSI, Bollinger Bands, etc.).
What you’ll get:
• Clean Python code that implements your entry/exit rules
• Support for buy / sell / flat logic and basic risk management (SL / TP)
• Simple backtest or sample run on historical / sample data
• Clear comments in the code so you can understand and modify it later
I focus on:
• Translating your trading idea into precise, testable logic
• Keeping the code modular so it’s easy to extend (add indicators, new conditions)
• Providing honest metrics and observations from the backtest (win rate, PnL behavior, etc.)
🔎 Important note (no unrealistic promises)
I do not guarantee profits or specific returns. Financial markets are risky and no strategy can be guaranteed to work in the future.
My role is to:
• Implement your strategy correctly in code
• Test it on historical data (if provided)
• Share the results and help you understand how the bot behaves
If you’re looking for a technically solid implementation, experimentation, and honest evaluation (not “get rich quick” promises), I’ll be happy to help.
What you’ll get:
• Clean Python code that implements your entry/exit rules
• Support for buy / sell / flat logic and basic risk management (SL / TP)
• Simple backtest or sample run on historical / sample data
• Clear comments in the code so you can understand and modify it later
I focus on:
• Translating your trading idea into precise, testable logic
• Keeping the code modular so it’s easy to extend (add indicators, new conditions)
• Providing honest metrics and observations from the backtest (win rate, PnL behavior, etc.)
🔎 Important note (no unrealistic promises)
I do not guarantee profits or specific returns. Financial markets are risky and no strategy can be guaranteed to work in the future.
My role is to:
• Implement your strategy correctly in code
• Test it on historical data (if provided)
• Share the results and help you understand how the bot behaves
If you’re looking for a technically solid implementation, experimentation, and honest evaluation (not “get rich quick” promises), I’ll be happy to help.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$60
|
Standard
$120
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$20About Farah
Reinforcement Learning Engineer | Algorithmic Trading , Python Dev.
Amman, Jordan - 10:37 am local time
MY WORK INCLUDES :
Designing custom Gym-like environments for financial markets
Implementing TD3, SAC, PPO and other RL algorithms
Building custom replay buffers (hybrid / elite / trade-aware)
Creating reward functions for trading, risk control, and capital growth
Integrating models with MetaTrader 5 (MT5) for live execution
Logging, diagnostics, and backtesting on real market data (e.g. US30/Dow Jones)
*****************WHAT I CAN HELP YOU WITH :
Building a new RL environment for your problem (trading, simulation, operations, etc.)
Implementing or improving your RL training pipeline (data, features, rewards)
Debugging and optimizing existing trading bots or RL agents
Backtesting strategies on historical data
Connecting Python models to live trading platforms (e.g. MT5 API)
I am focused, detail-oriented, and I like long-term collaborations where we can iterate and improve systems over time.
If you have an idea for an RL agent, a trading bot, or a simulation that needs intelligence, I’d be happy to help you design and build it.
I’m detail-oriented, very patient with experimentation, and I enjoy long-term collaborations where we iterate and improve your system over time.
Steps for completing your project
After purchasing the project, send requirements so Farah can start the project.
Delivery time starts when Farah receives requirements from you.
Farah works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & data review
I review your strategy idea, instruments, timeframe and data source. We clarify the entry/exit rules, risk parameters and delivery details before I start coding.
Design & implement the trading logic
I implement the strategy in Python using the agreed indicators (EMA, RSI, Bollinger Bands, etc.), structure the code clearly and add comments so it’s easy to understand and extend.