Feature complete xau #247
Feature complete xau #247
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… integration - Implement better error handling for missing data columns - Refactor data parsing logic to ensure robustness and reliability - Update related documentation to reflect changes in data handling
- Added placeholders for Binance, Coinbase, Kraken, Glassnode, and Messari API keys in .env.example. - Updated requirements.txt to include ccxt, glassnode, and python-dotenv libraries. - Enhanced agent_utils.py and interface.py to incorporate crypto-specific tools and vendor modules for improved functionality.
… cleanup. This includes the implementation summary, migration plan, phase readmes, and various test scripts for crypto agents and backtesting. All associated examples and quick start guides have also been deleted to streamline the repository.
… agents in `tradingagents/agents/analysts/`. Implemented the `xau_macro_analyst` agent, defining its prompts and integrating tools from the FRED API dataflow. Implemented the `xau_positioning_analyst` agent, defining its prompts and integrating tools from `cot_data.py` and `etf_flows.py`. Exposed the new XAU data layer functions as agent tools by importing them in `tradingagents/agents/utils/agent_utils.py`. Created and verified `tradingagents/xau_config.py` to manage system settings and `tradingagents/graph/xau_graph.py` to define the specialized LangGraph workflow for the XAU agents. Created and verified `xau_main.py` to serve as the main entry point for initializing and running the `XAUTradingGraph`.
Summary of ChangesHello @ducga1998, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces significant new capabilities to the Highlights
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Code Review
This is a very large pull request that introduces significant new functionality for XAU (Gold) and cryptocurrency trading, including new data layers, specialized agents, a backtesting framework, and a paper trading engine. The documentation and design files are extensive and well-detailed, which is great to see.
My review focuses on ensuring the new code is robust, maintainable, and that the documentation is accurate and helpful for other developers. I've identified several critical issues related to hardcoded paths in documentation and example files, which will prevent others from using the code. I've also found some high-severity issues in the new XAU and paper trading modules, including incomplete placeholder files for a feature marked as 'complete', and some fragile code that could lead to runtime errors.
Overall, this is a massive and impressive contribution. Addressing the issues I've raised will significantly improve the quality, usability, and robustness of these new features.
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| ```bash | ||
| # Navigate to project directory | ||
| cd /Users/nguyenminhduc/Desktop/TradingAgents |
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This setup instruction contains a hardcoded absolute path (/Users/nguyenminhduc/...). This will not work for other users and exposes local file structure.
Please replace it with a generic instruction, for example: cd /path/to/your/TradingAgents.
| cd /Users/nguyenminhduc/Desktop/TradingAgents | |
| cd /path/to/your/TradingAgents |
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| Add to your shell profile (`.bashrc`, `.zshrc`, etc.): | ||
| ```bash | ||
| export PYTHONPATH="/Users/nguyenminhduc/Desktop/TradingAgents:$PYTHONPATH" |
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This setup instruction contains a hardcoded absolute path (/Users/nguyenminhduc/...). This will not work for other users and exposes local file structure.
Please replace it with a generic placeholder like $PATH_TO_TRADING_AGENTS_REPO to instruct users to add their own path.
| export PYTHONPATH="/Users/nguyenminhduc/Desktop/TradingAgents:$PYTHONPATH" | |
| export PYTHONPATH="/path/to/your/TradingAgents:$PYTHONPATH" |
| import os | ||
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| # Add project root to path | ||
| project_root = "/Users/nguyenminhduc/Desktop/TradingAgents" |
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This code example contains a hardcoded absolute path (/Users/nguyenminhduc/...). This will fail on any other developer's machine and is a security risk as it exposes local file structure.
Please use a relative path calculation to determine the project root dynamically, as is done correctly in the example scripts.
| project_root = "/Users/nguyenminhduc/Desktop/TradingAgents" | |
| project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) # Adjust relative path as needed |
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| ```python | ||
| import sys | ||
| sys.path.insert(0, '/Users/nguyenminhduc/Desktop/TradingAgents') |
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This code example contains a hardcoded absolute path (/Users/nguyenminhduc/...). This will fail on any other developer's machine and is a security risk as it exposes local file structure.
Please use a relative path calculation to determine the project root dynamically, or use a placeholder like <path_to_project_root>.
| sys.path.insert(0, '/Users/nguyenminhduc/Desktop/TradingAgents') | |
| sys.path.insert(0, '/path/to/your/TradingAgents') |
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| **Solution**: Run from project root: | ||
| ```bash | ||
| cd /Users/nguyenminhduc/Desktop/TradingAgents |
There was a problem hiding this comment.
This setup instruction contains a hardcoded absolute path (/Users/nguyenminhduc/...). This will not work for other users and exposes local file structure.
Please replace it with a generic instruction, for example: cd /path/to/your/TradingAgents.
| cd /Users/nguyenminhduc/Desktop/TradingAgents | |
| cd /path/to/your/TradingAgents |
| for order in self.engine.orders: | ||
| if order.side.value == "sell" and "P&L:" in order.reason: | ||
| # Extract P&L from reason | ||
| pnl_str = order.reason.split("P&L: $")[1].split(" ")[0].replace(",", "") |
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Parsing the P&L from the order.reason string is fragile and not a robust design. If the format of the reason string changes in paper_trading_engine.py, this code will break.
A better approach would be to add pnl and pnl_pct fields directly to the PaperOrder dataclass. This would make the data structure more explicit and the code more maintainable.
For example, you could modify PaperOrder like this:
# In paper_trading_engine.py
@dataclass
class PaperOrder:
# ... existing fields
pnl: Optional[float] = None
pnl_pct: Optional[float] = NoneThen, when creating the order, you can populate these fields directly, and access them here without parsing strings.
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| # Calculate P&L | ||
| pnl = net_proceeds - (position.entry_price * amount) | ||
| pnl_pct = pnl / (position.entry_price * amount) |
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There is a potential for a ZeroDivisionError here if position.entry_price or amount is zero. While unlikely for a valid position, adding a check for this edge case would make the code more robust.
| pnl_pct = pnl / (position.entry_price * amount) | |
| pnl_pct = 0.0 | |
| if position.entry_price * amount != 0: | |
| pnl_pct = pnl / (position.entry_price * amount) |
| - `trader.py` - Composes reports and makes trading decisions | ||
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| **4. Risk Management** (`tradingagents/agents/risk_mgmt/`) | ||
| - `aggresive_debator.py` - High-risk tolerance perspective |
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There's a typo in the filename aggresive_debator.py. It should be aggressive_debator.py.
Correcting this will prevent confusion for developers looking for this file.
| - `aggresive_debator.py` - High-risk tolerance perspective | |
| - `aggressive_debator.py` - High-risk tolerance perspective |
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| # Crypto Data Provider Keys | ||
| GLASSNODE_API_KEY=glassnode_api_key_placeholder | ||
| MESSARI_API_KEY=messari_api_key_placeholder |
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It's a good practice to end text files with a single newline character. Some tools and systems might have issues processing files that don't end with a newline.
MESSARI_API_KEY=messari_api_key_placeholder
| Located in `tradingagents/default_config.py`: | ||
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| - `results_dir` - Output directory for results (default: `./results`) | ||
| - `deep_think_llm` - Model for complex reasoning (default: `o4-mini`) |
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The model name o4-mini seems to be a typo. Other parts of the documentation refer to gpt-4o-mini. Using a consistent and correct model name will avoid confusion for users trying to configure the system.
I'd recommend changing it to gpt-4o-mini for consistency.
| - `deep_think_llm` - Model for complex reasoning (default: `o4-mini`) | |
| - `deep_think_llm` - Model for complex reasoning (default: `gpt-4o-mini`) |
Docstrings generation was requested by @ducga1998. * #2 (comment) The following files were modified: * `tradingagents/agents/analysts/xau_macro_analyst.py` * `tradingagents/agents/analysts/xau_positioning_analyst.py` * `tradingagents/agents/utils/agent_utils.py` * `tradingagents/graph/xau_graph.py` * `xau_main.py`
📝 Add docstrings to `feature-complete-XAU`
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