Projects with this topic
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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
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Рабочий сервис генерации продолжения текста песни по короткой фразе на основе текстов песен группы Metallica
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The deep learning model and backend of SmartIntentNN
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Mobile app for food recognition
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Build a Bitcoin predictive model. (Inputs : Klines, Google Trend data. Future inputs implementation : Liquidations data)
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Statistical web application which not only allows to analyze coivd spread with interactive map and tons of indicators presented on charts, but also predicts daily cases, deaths etc for future days.
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Interactive xp using your eyes blinking to navigate between music artists. Webcam required
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[Experiment] Mask / filter your face while on a video call / browsing the web with a virtual camera.
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docker nuxt flask
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Tensorflow - Google Assistant - Politeknik Negeri Jakarta
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