Projects with this topic
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MQTT daemon that sends your Hydro-Quebec account information to your MQTT server for consumption by Home-Assistant or other home automation platforms.
Docs: https://hydroqc.ca
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Key platform data integrations repo
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Home automation classes for optimizing heating and water circulation.
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Elasticsearch beat to save messages received with the MQTT protocol. https://github.com/nathan-K-/mqttbeat
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Package providing shared classes and definition related to MQTT
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Node managing the state of an ongoing game
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The node responsible for interfacing the original micro-controller based control board with the messages based architecture of the application.
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Integrate Electrolux Comfort 600 to MQTT / Home Assistant
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Failover support for MQTT connections, on top of emqtt
Documentation: https://paulswartz.gitlab.io/emqtt_failover/readme.html
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Connect various devices via a PI and MQTT to Home Assistant
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Server Application of the FabAccess Project - an open source space access control sofware.
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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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Docker stack for monitoring things (Grafana, InfluxDB, Nexus433, MQTT and stuff)
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We are providing Ready To Use solution for home automation based on OpenHAB or Home Assistant projects. Our hardware solution is based on Raspberry Pi as central system and Arduino boards to control relays outputs (lights, shutters, sockets) and collect data from various inputs (wall buttons, motion, temp & humidity sensors, etc.).
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A general-purpose toolkit designed to simplify the development of modular, plugin-aware, multi-threaded, and object-oriented applications for both knowns and unknowns, literally and figuratively!
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