Project ORION

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Project ORION is a production-ready quantitative financial research and algorithmic paper-trading platform built for systematic strategy research, historical backtesting, execution simulation, risk controls, and paper-trading workflows.The platform provides a structured environment for researching and evaluating algorithmic trading strategies without using live capital. It includes multiple executable strategies, historical backtesting, execution realism, risk controls, market-data abstraction, and a production-deployed web interface.Key capabilities include:• Quantitative strategy research and historical backtesting• Trend following, mean reversion, breakout, momentum, and candlestick reversal strategies• 14 verified classical candlestick patterns• Intra-bar stop-loss and take-profit handling• Conservative same-candle risk-first execution logic• Spread, adverse slippage, commission, and trailing-stop simulation• Trade attribution and risk-management workflows• Production API and web dashboard• PostgreSQL and Redis infrastructure• Docker-based deployment architecture• Structured domain-oriented architecture with dependency injection• Comprehensive technical documentation and buyer handover materialsCurrent release: v1.0.0Commercial status: ORION is pre-revenue and has no established customer base. It is not being represented as a profitable trading system and does not guarantee trading returns.Trading status: Strict paper trading only with $0 live capital. The current production demonstration uses explicitly identified mock market data. Real market-data integration such as TwelveData is an external buyer-configured dependency.The acquisition includes the software asset, source code, documentation, deployment configuration, and associated project assets, subject to a definitive purchase agreement and verification of transferable third-party dependencies and licenses.Asking price: $24,900 USD.The platform is intended for acquisition by fintech companies, quantitative trading teams, algorithmic trading businesses, financial technology founders, research platforms, or technical buyers looking for an existing production-ready foundation rather than building the entire platform from scratch.