P

Python (Flask)

Code base for the AndBiodiversity BIOHME application and database

an open-source Python package enabling Self-Driving Labs (SDLs) interoperability

Trading Bot – Algorithmic Crypto Trading with AI Integration

This project is a powerful algorithmic trading bot for cryptocurrency markets. It combines traditional technical analysis with modern machine learning to generate accurate and intelligent trading decisions.

Key Features:

Candlestick Pattern Detection: Identifies classic reversal patterns such as Hammer, Doji, Engulfing, Shooting Star, and complex formations like triangle patterns.

Technical Indicators: Includes standard indicators (RSI, MACD, Moving Averages, Bollinger Bands) and advanced tools like Ichimoku Clouds, SuperTrend, Fibonacci Retracements, and more.

Machine Learning Integration: Uses LSTM-based models for time-series forecasting and momentum strategies, combined with indicator signals through weighted evaluation.

Dynamic Signal Weighting: Customizable signal weighting for patterns, indicators, and ML predictions with automatic adjustments to market volatility.

Trade Execution Engine: Supports long/short positions with stop-loss, take-profit, and trailing stop features. Automatically includes fees and tax deductions in profit calculations.

Backtesting & Debugging: Simulates strategies on historical data with detailed equity/value curve visualization and comprehensive debug logs.

Robust Error Handling: Detects and logs data inconsistencies, index errors, and processing issues to ensure stability.

Modular architecture with key components such as TraderBot, SignalHandler, PatternManager, IndicatorManager, MLModelHandler, SequenceManager, DataAPI, and CryptoCurrency. Additional support provided by PatternCalculator, IndicatorCalculator, and DataProcessing.

Version: V1.3.0.0 | GUI: V1.0.0 Author: Marian Seeger – info@seegersoftwaredevelopment.de

Open ResearchNotes is an electronic lab book (ELN) to manage data obtained during scientific research.

GreenThumBot is an AI-powered urban greening platform created by Queen’s University Belfast students for the 2024 Sustainability Hackathon (“Re-Naturing the City” challenge, Belfast Agenda 2024–2028).

High-speed USDT flashing tool for TRC20, ERC20, and Omni by Digital Vault

A tool for detecting Self-Admitted Security Debt (SASD) in software projects using NLP. Developed as part of my MEng dissertation at Queen's University Belfast.

Web interface for Enviro and Enviro+ sensor board plugged into a Raspberry Pi.

Measure air quality (pollutant gases and particulates), temperature, humidity, pressure, light and noise.

Página WEB para prompt LLM, que nos da asesoria nutricional, utilizando Python y el API GROQ

This project is a Flask-based web application called "KnowMe," designed to provide users with a platform to create and manage personal profiles, blogs, and certificates. It includes features such as user registration, login, profile customization, social media integration, and account verification via email. The application uses SQLAlchemy for database management, supports file uploads for profile pictures and certificates, and implements secure password hashing. Additionally, it offers an API for user actions like signup and login, along with a responsive user interface for seamless interaction.

GroundBi Master Application is an AI-powered terrain generation application that creates detailed terrain visuals for Original War. The application uses stable diffusion models with LoRA adaptations to generate high-quality terrain images based on reference images.

Semesterarbeit Klasse ITCNE23 – 4. Semesterarbeit

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