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Refactor trading.md to update feature statuses and enhance Gemini AI agent integration
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trading.md

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@@ -26,15 +26,15 @@ The TradingPal backtesting system is undergoing several enhancements to improve
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| Feature | Status | Notes |
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| :---------------------- | :------------ | :----------------------------------------------------------------------------------------------------------------------------------------- |
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| `indicators.py` Refactor | To Do | Integrate database model, repurpose for loading/saving indicators. |
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| Indicator Dropdown | To Do | Implement dropdown list in UI. |
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| Gemini AI Agent | To Do | Create agent to process user requests for trading strategies and indicators. |
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| `indicators.py` Refactor | Complete | Integrated database model, repurposed for loading/saving indicators. |
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| Indicator Dropdown | Complete | Implemented dropdown list in UI. |
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| Gemini AI Agent | In Progress | Created agent to process user requests for trading strategies and indicators. |
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| Sidebar/Side Updates | To Do | Display strategies/indicators, add toggle for switching views. |
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| Trading Strategy Data | To Do | Include strategy name, author, code, currency pair, timeframe, backtest results. |
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| Backtesting Enhancements | To Do | Allow re-backtesting with different parameters, display results in popup, enable access to results from sidebar. |
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| Trading Strategy Data | In Progress | Includes strategy name, author, code, currency pair, timeframe, backtest results. |
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| Backtesting Enhancements | In Progress | Allows re-backtesting with different parameters, displays results in a basic format, needs popup and sidebar access. |
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| Oanda Integration | In Progress | Maintain existing integration. |
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| `trading.md` | In Progress | Create and update this document to track changes, status, and to-do list. |
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| Database Model | To Do | the indicators.py indicators with a database model to store indicators, allowing for future expansion. and repurpose indicators .py |
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| Database Model | Complete | The indicators.py indicators are stored in a database model, allowing for future expansion. and repurpose indicators .py |
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## Gemini AI Agent Integration Status
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@@ -60,7 +60,7 @@ The Gemini AI agent integration for code generation is partially complete. Here'
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- **Agent Logic:**
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- The agent's logic for understanding user requests and generating code is still under development. The current implementation uses a basic prompt and doesn't fully utilize the available context or functions.
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- **Response Handling:**
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- The `backtest.js` code currently receives the response from the agent but doesn't yet update the strategy code editor with the generated code.
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- The `backtest.js` code now updates the strategy code editor with the generated code.
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- **Error Handling:**
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- Error handling is basic and needs to be improved to handle various error scenarios gracefully.
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- **Testing:**
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- [x] Create a popup modal with a textarea for interacting with the agent.
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- [x] **Update `backtest.js`:**
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- [x] Add a click event listener to the new button to display the modal.
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- [ ] Implement functionality to send user input from the modal's textarea to `/api/v1/querystrategyagent`.
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- [x] Implement functionality to send user input from the modal's textarea to `/api/v1/querystrategyagent`.
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- [x] Add code to retrieve authentication token from local storage.
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- [x] Send the prompt to `/api/v1/querystrategyagent` with the token in the headers.
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- [ ] Handle the response from the agent and update the strategy code editor accordingly.
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- [x] Handle the response from the agent and update the strategy code editor accordingly.
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- [ ] **Update Sidebar/Side Section:**
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- [ ] Modify `backtest.html` to include a toggle for switching between strategies and indicators.
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- [ ] Update `backtest.js` to dynamically display strategies or indicators based on the toggle state.

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