[ANN] OgreBot - Advanced Grid Trading Bot for TradeOgre
Desktop GUI, Adaptive Grids, Multi-Exchange Ready
Hello Bitcointalk Community,
We are excited to announce the ongoing development of
OgreBot, a sophisticated automated cryptocurrency trading bot designed to empower users with advanced grid trading strategies on the TradeOgre exchange. Our goal is to create a powerful yet user-friendly desktop application for Windows, providing a robust and aesthetically modern trading experience.
We are currently in active development and would greatly value input, suggestions, and feature requests from this knowledgeable community as we progress. We do plan to add support for other exchange apis.
Project Overview:OgreBot aims to redefine automated grid trading by offering a comprehensive suite of features, focusing on intelligent strategy execution, dynamic capital management, and a highly intuitive desktop GUI. Inspired by the ease-of-use of platforms like BitUniverse, but built as a dedicated Windows application with deep customization capabilities, OgreBot is designed for both efficiency and a visually engaging experience.
Key Features Under Development:1. Intelligent Grid Trading Engine:Arithmetic and
Geometric grid types for flexible strategy deployment.
[] Precise order placement and management, ensuring adherence to exchange minimums and precision rules.
[] Configurable initial grid states (Neutral, Long, Short) to align with market outlook.
[/list]
[]
2. Balance-Centric Grid Sizing:[] Dynamically calculates order quantities based on your available balance and total capital allocation for the strategy.
[] Offers
Equal and
Tiered/Weighted allocation methods to optimize capital distribution across grid levels.
[] Real-time balance monitoring with automatic re-evaluation and potential adjustment of active orders if balances change unexpectedly.
[/list]
[]
3. Intuitive & Modern Desktop GUI (PyQt6/PySide6):[] A highly responsive and aesthetically pleasing Windows desktop application with a deep dark theme, neon blue/cyan accents, and subtle animations.
[] Features intuitive navigation via tabs (Dashboard, Strategy Configuration, Backtesting, Logs, API Keys).
[] Provides real-time display of market data, overall P&L, account balances, and active strategy summaries.
[]
4. Robust & Secure Operation:[] Secure handling of API credentials with encryption at rest and in-memory protection.
[] Built-in rate limit management for smooth API interaction with TradeOgre.
[] Comprehensive error recovery and persistent data storage to ensure continuous operation and data integrity.
[]
5. Advanced Analytics & Backtesting Engine:[] Integrated backtesting module for historical strategy validation and optimization.
[] Calculates key performance metrics: Total P&L, Max Drawdown, Sharpe Ratio, Profit Factor, Win Rate, and more.
[]
Interactive Charting (PyQtGraph): Visualizes market data with candlestick charts, grid overlays, and trade markers for detailed analysis.
[/list]
[]
6. Adaptive Strategy Features:Volatility-Based Grid Scaling: Dynamically adjusts grid spacing (wider in high volatility, tighter in low volatility) using indicators like Average True Range (ATR).
[]
Automated Re-centering: Configurable logic to re-center the grid if the price deviates significantly from the initial range, including cost thresholds to prevent over-trading.
[]
Trailing Features: Implement Trailing Take Profit (TTP) and Trailing Stop Loss (TSL) to maximize gains and minimize losses in trending markets.
[]
AI Advisor: (Initial rules-based, future ML-driven) Provides recommendations for optimal grid parameters based on market conditions and user risk tolerance.
[/list]
[]
7. Future Scalability & Monetization Readiness:[] Modular architecture designed for easy integration of additional exchanges (e.g., Binance, Kraken) via an
AbstractExchangeClient interface.
[] API Key Management system supporting multiple exchange credentials.
- Technical groundwork laid for potential monetization models (e.g., licensing, SaaS subscription) with licensing modules and a scalable data management system.
[/list]
Technical Details:OgreBot is being built primarily in
Python 3.9+ utilizing
PySide6 (Qt for Python) for the desktop GUI, ensuring native performance and extensive customization capabilities. Core libraries include
requests for API interaction,
pandas and
numpy for data handling, and
PyQtGraph for advanced charting. Local data persistence is managed using
SQLite.
Community Input & Suggestions:We are keen to develop OgreBot as a tool that truly serves the needs of crypto traders. We invite the Bitcointalk community to provide feedback, suggestions, and feature requests.
[] What specific challenges do you face with existing trading bots or manual grid trading?
[] Are there any "must-have" features not listed above that would significantly enhance your trading experience?
[] What kind of analytics or reporting would you find most valuable?
[] Any thoughts on the proposed UI/UX direction or specific visual elements?
Your insights will directly influence OgreBot's development. Please share your thoughts below!
Disclaimer: Automated cryptocurrency trading carries significant financial risks. Past performance is not indicative of future results. OgreBot is a technical tool and does not constitute financial advice. Users are responsible for understanding and managing their own risks and complying with all applicable regulations.
[/immersive]