Rivier-Computer-Science AI-Agent-Stock-Prediction issues

Rivier-Computer-Science / AI-Agent-Stock-Prediction

Multi-Agent Stock Prediction

GNU Affero General Public License v3.0

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issues

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US11.10: Test and Validate Results (16 ph)

#113 glossner opened 2 days ago
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US 11.9: Implement Security and Privacy Features (8 ph)

#112 glossner opened 2 days ago
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US11.8: Ensure Performance and Scalability (10 ph)

#111 glossner opened 2 days ago
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US11.7: Add Follow-Up Query Handling (10 ph)

#110 glossner opened 2 days ago
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US11.6: Create Visual Representation of Results (16 ph)

#109 glossner opened 2 days ago
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US11.5: Generate Recommendations Based on Scenario Results (12 ph)

#108 glossner opened 2 days ago
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US11.4: Develop Risk Assessment Module (18 ph)

#107 glossner opened 2 days ago
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US11.3: Build Scenario Simulation Engine (20 ph)

#106 glossner opened 2 days ago
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US11.2: Integrate with Portfolio Data (12 ph)

#105 glossner opened 2 days ago
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US11.1: Implement Scenario Input Handling (14 ph)

#104 glossner closed 22 hours ago
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US11: As a trader, I want to simulate different market scenarios, such as interest rate changes or stock price movements, so that I can assess the potential risks and make informed trading decisions.

#103 glossner opened 2 days ago
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US10.10: Deploy and Monitor the Alert System (6 person-hours)

#102 glossner opened 2 days ago
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US10.9: Document the Alert System Functionality (5 person-hours)

#101 glossner opened 2 days ago
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US10.8: Collect and Analyze User Feedback (5 person-hours)

#100 glossner opened 2 days ago
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US10.7: Perform Comprehensive Testing of Alert System (8 person-hours)

#99 glossner opened 2 days ago
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US10.6: Implement Customization Options for Alerts (5 person-hours)

#98 glossner opened 2 days ago
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US10.5: Create User Interface for Alert Setup and Management (6 person-hours)

#97 glossner opened 2 days ago
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US10.4: Build Notification Delivery Mechanism (7 person-hours)

#96 glossner opened 2 days ago
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US10.3: Develop Backend Services for Alert Creation and Management (8 person-hours)

#95 glossner opened 2 days ago
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US10.2: Design System Architecture for Alerts and Notifications (6 person-hours)

#94 glossner opened 2 days ago
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US10.1: Define Detailed Requirements for Alerts and Notifications (4 person-hours)

#93 glossner opened 2 days ago
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US10: As a trader I want to receive alerts and notifications in near real-time about significant changes or predictions for stocks

#92 miriyala1 opened 2 days ago
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US9.8: Forward test the system in real-time to validate ChatGPT’s trade suggestions and performance improvement (6 person-hours).

#91 glossner opened 4 days ago
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US9.7: Document the system and provide user instructions (5 person-hours).

#90 glossner opened 4 days ago
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US9.6: Comparing the results to a non-ChatGPT correlated pairs trading strategy (5 person-hours).

#89 glossner opened 4 days ago
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US9.5: Backtest the system and generate performance statistics

#88 glossner opened 4 days ago
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US9.4: Create unit and integration tests for pairs trading using ChatGPT analysis (7 person-hours).

#87 glossner opened 4 days ago
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US9.3: Implement API integration with ChatGPT to receive actionable trading suggestions (7 person-hours).

#86 glossner opened 4 days ago
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US9.2: Design logic to format and send correlated pairs to ChatGPT for analysis (6 person-hours).

#85 glossner opened 4 days ago
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US9.1: Develop the module to detect correlated pairs signals based on price action (8 person-hours).

#84 glossner opened 4 days ago
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US10.8: Forward test the system to validate real-time performance of the earnings sentiment trading system (6 person-hours).

#83 glossner opened 4 days ago
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US10.7: Document the process, user instructions, and expected outcomes for the earnings sentiment trading system (5 person-hours).

#82 glossner opened 4 days ago
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US10.6: Assess trade success rates when using ChatGPT agents compared with random signals (7 person-hours).

#81 glossner opened 4 days ago
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US10.5: Backtest the system and generate performance statistics comparing it to random buy/sell before earnings (8 person-hours).

#80 glossner opened 4 days ago
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US10.4: Create unit and integration tests (7 person-hours).

#79 glossner opened 4 days ago
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US10.3: Develop a ChatGPT agent that makes buy/sell decisions based on the sentiment analysis. (4 person-hours).

#78 glossner opened 4 days ago
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US10.2: Design a ChatGPT agent to analyze the sentiment of the company the day before earnings (4 person-hours).

#77 glossner opened 4 days ago
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US10.1: Develop the module to identify company earnings statements (8 person-hours).

#76 glossner opened 4 days ago
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US10: As a trader, I want to implement a timing trading system that uses ChatGPT for sentiment analysis just before earning so that I can improve portfolio returns

#75 jyothibhupathi opened 5 days ago
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US9: As a trader, I want to use ChatGPT to find highly correlated stocks (pairs trading), so I can maximize profits and portfolio returns.

#74 pcheekati opened 5 days ago
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US8.8: Forward test the system in live market conditions to validate the effectiveness of ChatGPT’s pattern recognition (6 person-hours).

#73 glossner opened 5 days ago
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US8.7: Document the process and provide user instructions (5 person-hours).

#72 glossner opened 5 days ago
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US8.6: Evaluate success rates of the system with ChatGPT vs. traditional Fibonacci methods (7 person-hours).

#71 glossner opened 5 days ago
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US8.5: Backtest the system and generate performance statistics comparing it to a traditional Fibonacci retracement strategy (5 person-hours).

#70 glossner opened 5 days ago
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US8.4: Create unit and integration tests for Fibonacci retracement and pattern recognition features (7 person-hours).

#69 glossner opened 5 days ago
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US8.3: Implement API integration with ChatGPT to receive pattern-based trading suggestions (7 person-hours).

#68 glossner opened 5 days ago
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US8.2: Design logic to format and send Fibonacci levels and price patterns to ChatGPT for analysis (10 person-hours).

#67 glossner opened 5 days ago
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US8.1: Develop the module to calculate Fibonacci retracement levels from price data (8 person-hours).

#66 glossner opened 5 days ago
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US8: As a trader, I want to implement a Fibonacci retracement system that uses input from ChatGPT to analyze price movement patterns and identify key levels of support and resistance, so that I can improve my entry and exit strategies, reduce false signals, and maximize profit potential.

#65 Jyothikakarla890 opened 6 days ago
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US7.8: Conduct forward testing in live market conditions to validate the effectiveness of ChatGPT-enhanced MACD signals (6 person-hours).

#64 glossner opened 1 week ago
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