gavindiaz/NexQuant
1
0
Fork 0
mirror of https://github.com/NicolasBohn/NexQuant.git synced 2026-07-27 23:47:46 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: Remove unnecessary files for v1.0.0 release

Browse Source 
Removed:
- Makefile (RD-Agent specific, not fully functional)
- predix.py (duplicates rdagent CLI)
- QWEN.md (internal dev guide - now in .gitignore)
- TODO.md (internal tracking - now in .gitignore)

Kept:
- pyproject.toml (required for pip install)
- start_loop.sh (useful for 24/7 trading)
- data_config.yaml (central configuration)
- start_loop.sh (24/7 trading)

.gitignore updated to exclude internal docs.

Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
This commit is contained in:
TPTBusiness
2026-04-02 21:12:58 +02:00
parent 02d09e66d6
commit 30ee6c6221
5 changed files with 3 additions and 933 deletions
Download Patch File Download Diff File Expand all files Collapse all files
.gitignore
+3
View File
@@ -78,3 +78,6 @@ QWEN.md
# AI Agent Files (generated by Qwen Code)
.qwen/
# Internal documentation (not for public)
TODO.md
Makefile
-222
View File
@@ -1,222 +0,0 @@
.PHONY: clean deepclean install init-qlib-env dev constraints black isort mypy ruff toml-sort lint pre-commit test-run test build upload docs-autobuild changelog docs-gen docs-mypy docs-coverage docs
#You can modify it according to your terminal
SHELL := /bin/bash
########################################################################################
# Variables
########################################################################################
# Determine whether to invoke pipenv based on CI environment variable and the availability of pipenv.
PIPRUN := $(shell [ "$$CI" != "true" ] && command -v pipenv > /dev/null 2>&1 && echo "pipenv run")
# Get the Python version in `major.minor` format, using the environment variable or the virtual environment if exists.
PYTHON_VERSION := $(shell echo $${PYTHON_VERSION:-$$(python -V 2>&1 | cut -d ' ' -f 2)} | cut -d '.' -f 1,2)
# Determine the constraints file based on the Python version.
CONSTRAINTS_FILE := constraints/$(PYTHON_VERSION).txt
# Documentation target directory, will be adapted to specific folder for readthedocs.
PUBLIC_DIR := $(shell [ "$$READTHEDOCS" = "True" ] && echo "$$READTHEDOCS_OUTPUT/html" || echo "public")
# URL and Path of changelog source code.
CHANGELOG_URL := $(shell echo $${CI_PAGES_URL:-https://predixai.github.io/predix}/_sources/changelog.md.txt)
CHANGELOG_PATH := docs/changelog.md
########################################################################################
# Development Environment Management
########################################################################################
# Remove common intermediate files.
clean:
-rm -rf \
$(PUBLIC_DIR) \
.coverage \
.mypy_cache \
.pytest_cache \
.ruff_cache \
Pipfile* \
coverage.xml \
dist \
release-notes.md
find . -name '*.egg-info' -print0 | xargs -0 rm -rf
find . -name '*.pyc' -print0 | xargs -0 rm -f
find . -name '*.swp' -print0 | xargs -0 rm -f
find . -name '.DS_Store' -print0 | xargs -0 rm -f
find . -name '__pycache__' -print0 | xargs -0 rm -rf
# Remove pre-commit hook, virtual environment alongside itermediate files.
deepclean: clean
if command -v pre-commit > /dev/null 2>&1; then pre-commit uninstall --hook-type pre-push; fi
if command -v pipenv >/dev/null 2>&1 && pipenv --venv >/dev/null 2>&1; then pipenv --rm; fi
# Install the package in editable mode.
install:
$(PIPRUN) pip install -e . -c $(CONSTRAINTS_FILE)
# Install the package in editable mode with specific optional dependencies.
dev-%:
$(PIPRUN) pip install -e .[$*] -c $(CONSTRAINTS_FILE)
# Prepare the development environment.
# Build submodules.
# Install the pacakge in editable mode with all optional dependencies and pre-commit hook.
init-qlib-env:
# note: You may need to install torch manually
# todo: downgrade ruamel.yaml in pyqlib
conda create -n qlibRDAgent python=3.8 -y
@source $$(conda info --base)/etc/profile.d/conda.sh && conda activate qlibRDAgent && which pip && pip install pyqlib && pip install ruamel-yaml==0.17.21 && pip install torch==2.1.1 && pip install catboost==0.24.3 && conda deactivate
dev:
$(PIPRUN) pip install -U pip setuptools wheel
$(PIPRUN) pip install -e .[docs,lint,package,test] -c $(CONSTRAINTS_FILE)
$(PIPRUN) pip install -U kaggle
if [ "$(CI)" != "true" ] && command -v pre-commit > /dev/null 2>&1; then pre-commit install --hook-type pre-push; fi
# Generate constraints for current Python version.
constraints: deepclean
$(PIPRUN) --python $(PYTHON_VERSION) pip install --upgrade -e .[docs,lint,package,test]
$(PIPRUN) pip freeze --exclude-editable > $(CONSTRAINTS_FILE)
########################################################################################
# Lint and pre-commit
########################################################################################
# Check lint with black.
black:
$(PIPRUN) python -m black --check --diff . --extend-exclude "(test/scripts|test/notebook/testfiles|git_ignore_folder|web)" -l 120
# Check lint with isort.
isort:
$(PIPRUN) python -m isort --check . -s git_ignore_folder -s test/scripts -s test/notebook/testfiles -s web
# Check lint with mypy.
# First deal with the core folder, and then gradually increase the scope of detection,
# and eventually realize the detection of the complete project.
mypy:
$(PIPRUN) python -m mypy rdagent/core
# Check lint with ruff.
# First deal with the core folder, and then gradually increase the scope of detection,
# and eventually realize the detection of the complete project.
ruff:
$(PIPRUN) ruff check rdagent/core --ignore FBT001,FBT002,I001,E501 # --exclude rdagent/scripts,git_ignore_folder
# Check lint with toml-sort.
toml-sort:
$(PIPRUN) toml-sort --check pyproject.toml
# Check lint with all linters.
# Prioritize fixing isort, then black, otherwise you'll get weird and unfixable black errors.
# lint: mypy ruff
lint: mypy ruff isort black toml-sort
# Run pre-commit with autofix against all files.
pre-commit:
pre-commit run --all-files
########################################################################################
# Auto Lint
########################################################################################
# Auto lint with black.
auto-black:
$(PIPRUN) python -m black . --extend-exclude "(test/scripts|test/notebook/testfiles|git_ignore_folder|.venv|web)" -l 120
# Auto lint with isort.
auto-isort:
$(PIPRUN) python -m isort . -s git_ignore_folder -s test/scripts -s test/notebook/testfiles -s .venv -s web
# Auto lint with toml-sort.
auto-toml-sort:
$(PIPRUN) toml-sort pyproject.toml
# Auto lint with all linters.
auto-lint: auto-isort auto-black auto-toml-sort
########################################################################################
# Test
########################################################################################
# Clean and run test with coverage.
test-run:
$(PIPRUN) python -m coverage erase
$(PIPRUN) python -m coverage run --concurrency=multiprocessing -m pytest --ignore test/scripts
$(PIPRUN) python -m coverage combine
test-run-offline:
# some test that does not require api calling
$(PIPRUN) python -m coverage erase
$(PIPRUN) python -m coverage run --concurrency=multiprocessing -m pytest -m "offline" --ignore test/scripts
$(PIPRUN) python -m coverage combine
# Generate coverage report for terminal and xml.
# TODO: we may have higher coverage rate if we have more test
test: test-run
$(PIPRUN) python -m coverage report --fail-under 20 # 80
$(PIPRUN) python -m coverage xml --fail-under 20 # 80
test-offline: test-run-offline
$(PIPRUN) python -m coverage report --fail-under 20 # 80
$(PIPRUN) python -m coverage xml --fail-under 20 # 80
########################################################################################
# Package
########################################################################################
# Build the package.
build:
$(PIPRUN) python -m build
# Upload the package.
upload:
$(PIPRUN) python -m twine upload dist/*
########################################################################################
# Documentation
########################################################################################
# Generate documentation with auto build when changes happen.
docs-autobuild:
$(PIPRUN) python -m sphinx_autobuild docs $(PUBLIC_DIR) \
--watch README.md \
--watch rdagent
# Generate changelog from git commits.
# The -c and -s arguments should match
# If -c uses Basic (default, inherits from base class), -s optional argument: # If -c uses conventional (inherits from base class), -s optional parameter: add,fix,change,remove,merge,doc
# If -c uses conventional (inherits from base class), -s is optional: build,chore,ci,deps,doc,docs,feat,fix,perf,ref,refactor,revert,style,test,tests
# If -c uses angular (inherits from conventional), -s optional argument: build,chore,ci,deps,doc,docs,feat,fix,perf,ref,refactor,revert,style,test,tests
# NOTE(xuan.hu): Need to be run before document generation to take effect.
# $(PIPRUN) git-changelog -ETrio $(CHANGELOG_PATH) -c conventional -s build,chore,ci,docs,feat,fix,perf,refactor,revert,style,test
changelog:
@if wget -q --spider $(CHANGELOG_URL); then \
echo "Existing Changelog found at '$(CHANGELOG_URL)', download for incremental generation."; \
wget -q -O $(CHANGELOG_PATH) $(CHANGELOG_URL); \
fi
$(PIPRUN) LATEST_TAG=$$(git tag --sort=-creatordate | head -n 1); \
git-changelog --bump $$LATEST_TAG -Tio docs/changelog.md -c conventional -s build,chore,ci,deps,doc,docs,feat,fix,perf,ref,refactor,revert,style,test,tests
# Generate release notes from changelog.
release-notes:
@$(PIPRUN) git-changelog --input $(CHANGELOG_PATH) --release-notes
# Build documentation only from rdagent.
docs-gen:
$(PIPRUN) python -m sphinx.cmd.build -W docs $(PUBLIC_DIR)
# Generate mypy reports.
docs-mypy: docs-gen
$(PIPRUN) python -m mypy rdagent test --exclude git_ignore_folder --exclude rdagent/scripts --html-report $(PUBLIC_DIR)/reports/mypy
# Generate html coverage reports with badge.
docs-coverage: test-run docs-gen
$(PIPRUN) python -m coverage html -d $(PUBLIC_DIR)/reports/coverage --fail-under 80
$(PIPRUN) bash scripts/generate-coverage-badge.sh $(PUBLIC_DIR)/_static/badges
# Generate all documentation with reports.
docs: changelog docs-gen docs-mypy docs-coverage
########################################################################################
# End
########################################################################################
QWEN.md
-528
View File
@@ -1,528 +0,0 @@
# Predix - QWEN.md Context File
## Project Overview
**Predix** is an autonomous AI-powered quantitative trading agent for EUR/USD forex markets. Built on the RD-Agent framework, it automates the full research and development cycle for trading strategies.
### Core Purpose
- Generate trading factors (signals) autonomously using LLMs
- Backtest and validate factors on 1-minute EUR/USD data
- Optimize portfolios using modern portfolio theory
- Target: 1-3% monthly returns with Sharpe > 2.0
### Key Technologies
- **Python 3.10/3.11** - Primary language
- **PyTorch** - Deep learning models
- **Qlib** - Backtesting engine
- **LLM (Qwen3.5-35B)** - Factor generation via local llama.cpp
- **Flask** - Web dashboard API
- **SQLite** - Results database
- **Rich/Typer** - CLI interface
### Architecture
```
Predix/
├── rdagent/ # Core agent framework
│ ├── app/
│ │ └── cli.py # Main CLI entry point (rdagent command)
│ ├── components/
│ │ ├── backtesting/ # Backtest engine, metrics, database
│ │ ├── coder/
│ │ │ └── factor_coder/ # Factor generation & EURUSD-specific modules
│ │ └── ...
│ └── scenarios/
│ └── qlib/ # Qlib integration for FX trading
├── results/ # Backtest results (NOT in git)
│ ├── backtests/ # Individual factor backtests (JSON/CSV)
│ ├── db/ # SQLite database
│ ├── factors/ # Factor analysis
│ ├── runs/ # Run results & risk reports
│ └── logs/ # Backtest logs
├── web/ # Dashboard frontend
│ ├── dashboard_api.py # Flask API backend
│ └── dashboard.html # Web UI
├── .env # Environment config (API keys, etc.)
├── data_config.yaml # EURUSD data configuration
└── requirements.txt # Python dependencies
```
## Building and Running
### Installation
```bash
# Clone repository
git clone https://github.com/PredixAI/predix
cd predix
# Create conda environment
conda create -n predix python=3.10
conda activate predix
# Install in editable mode
pip install -e .[test,lint]
```
### Configuration
1. **Create `.env` file:**
```bash
# Local LLM (llama.cpp)
OPENAI_API_KEY=local
OPENAI_API_BASE=http://localhost:8081/v1
CHAT_MODEL=qwen3.5-35b
# Embedding (Ollama)
LITELLM_PROXY_API_KEY=local
LITELLM_PROXY_API_BASE=http://localhost:11434/v1
EMBEDDING_MODEL=nomic-embed-text
# Paths
QLIB_DATA_DIR=~/.qlib/qlib_data/eurusd_1min_data
```
2. **Start LLM server (llama.cpp):**
```bash
~/llama.cpp/build/bin/llama-server \
--model ~/models/qwen3.5/Qwen3.5-35B-A3B-Q3_K_M.gguf \
--n-gpu-layers 36 \
--ctx-size 80000 \
--port 8081
```
### Running the Trading Loop
```bash
# Start trading loop (24/7)
./start_loop.sh
# Or single run
rdagent fin_quant
# With dashboard
rdagent fin_quant --with-dashboard
# With CLI dashboard
rdagent fin_quant --cli-dashboard
```
### Running the Dashboard
```bash
# Web dashboard (runs with fin_quant --with-dashboard)
# Access at: http://localhost:5000/dashboard.html
# Or standalone
python web/dashboard_api.py
```
### Testing
```bash
# Run all tests
pytest test/
# Run with coverage
pytest --cov=rdagent --cov-report=html
# Test backtesting module
python rdagent/components/backtesting/backtest_engine.py
python rdagent/components/backtesting/results_db.py
python rdagent/components/backtesting/risk_management.py
```
### Code Quality
```bash
# Linting
ruff check rdagent/
# Type checking
mypy rdagent/
# Format
black rdagent/
# Pre-commit (install first)
pre-commit install
pre-commit run --all-files
```
## Development Conventions
### Language Policy
**ALL code comments and documentation MUST be in English.**
❌ **Wrong (German):**
```python
# Inspiriert von: TradingAgents
# Berechnet den Sharpe Ratio
# Achtung: Division durch Null möglich!
# Hinweis: Diese Funktion ist experimentell
```
✅ **Correct (English):**
```python
# Inspired by: TradingAgents
# Calculates the Sharpe ratio
# Warning: Division by zero possible!
# Note: This function is experimental
```
**Rationale:**
- International collaboration
- Better searchability
- Professional codebase
- Consistent with commit messages (also English-only)
**Enforcement:**
- All new code must have English comments
- Existing German comments should be translated when modified
- PRs with German comments will be rejected
### Code Style
- **Line length:** 120 characters (configured in pyproject.toml)
- **Type hints:** Required for all public functions
- **Docstrings:** Google style for public APIs
- **Imports:** Sorted automatically with isort
### Testing Practices
- Unit tests in `test/` directory
- Test files named `test_*.py`
- Use pytest fixtures for common setup
- Mock external APIs (LLM, yfinance)
- Minimum 80% coverage target
### Commit Conventions
```bash
git commit --author="TPTBusiness <tpt.requests@pm.me>" -m "type: description"
# Types:
# - feat: New feature
# - fix: Bug fix
# - docs: Documentation
# - style: Formatting
# - refactor: Code restructuring
# - test: Tests
# - chore: Maintenance
```
### Module Structure
```python
"""
Module Name - Brief description
Longer description if needed.
"""
import numpy as np
import pandas as pd
from typing import Dict, List, Optional
from datetime import datetime
class ClassName:
"""Class docstring."""
def __init__(self, param: type) -> None:
"""Initialize."""
pass
def method(self, param: type) -> ReturnType:
"""
Method docstring.
Parameters
----------
param : type
Description
Returns
-------
ReturnType
Description
"""
pass
```
### Backtesting Module Usage
```python
from rdagent.components.backtesting import (
FactorBacktester,
ResultsDatabase,
PortfolioOptimizer,
AdvancedRiskManager
)
# Run backtest
backtester = FactorBacktester()
metrics = backtester.run_backtest(
factor_values=factor_series,
forward_returns=forward_returns,
factor_name="MyFactor"
)
# Save to database
db = ResultsDatabase()
db.add_backtest("MyFactor", metrics)
# Query top factors
top = db.get_top_factors('sharpe_ratio', limit=20)
# Portfolio optimization
optimizer = PortfolioOptimizer()
weights = optimizer.mean_variance(expected_returns, cov_matrix)
# Risk management
risk_manager = AdvancedRiskManager()
report = risk_manager.generate_risk_report(returns, weights)
```
### Key Metrics
| Metric | Target | Minimum |
|--------|--------|---------|
| IC (Information Coefficient) | > 0.05 | > 0.02 |
| Sharpe Ratio | > 2.0 | > 1.0 |
| Max Drawdown | < 15% | < 25% |
| Win Rate | > 55% | > 45% |
| Annualized Return | > 10% | > 5% |
### Important Files
- `rdagent/app/cli.py` - Main CLI entry point
- `rdagent/components/backtesting/` - Backtest engine
- `rdagent/components/coder/factor_coder/` - Factor generation
- `results/README.md` - Results documentation
- `data_config.yaml` - EURUSD configuration
- `web/dashboard_api.py` - Dashboard API
- `requirements.txt` - Dependencies
### External Dependencies
- **llama.cpp** - Local LLM inference (Qwen3.5-35B)
- **Ollama** - Embedding models
- **Qlib** - Backtesting engine
- **yfinance** - Live market data
### Common Issues
1. **LLM Connection Errors:** Ensure llama.cpp server is running on port 8081
2. **Embedding Errors:** Check Ollama is running with nomic-embed-text loaded
3. **Database Lock:** Close all connections before running multiple processes
4. **Memory Issues:** Reduce batch size or context length for LLM
### Project Status
- ✅ Factor Generation (110+ factors created)
- ✅ Backtesting Engine (IC, Sharpe, Drawdown)
- ✅ Results Database (SQLite with queries)
- ✅ Risk Management (Correlation, Portfolio Optimization)
- ✅ Dashboards (Web + CLI)
- ⏳ Live Trading (Paper trading pending)
### Next Steps
1. Backtest all 110 factors
2. Select top 20 by IC/Sharpe
3. Portfolio optimization
4. 4 weeks paper trading
5. Live trading with small capital
---
## Git Commit Guidelines
### Language Policy
**ALL commit messages MUST be in English.**
❌ **Wrong (German):**
```bash
git commit -m "feat: Neue Funktion hinzugefügt"
git commit -m "fix: Fehler behoben"
git commit -m "chore: QWEN.md zu .gitignore hinzugefügt"
```
✅ **Correct (English):**
```bash
git commit -m "feat: Add new feature"
git commit -m "fix: Fix bug"
git commit -m "chore: Add QWEN.md to .gitignore"
```
### Pre-Commit Checklist
**BEFORE every commit, you MUST:**
1. **Run `git status`** and verify:
- Only intended files are staged
- No generated files (.qwen/, results/, *.db, etc.)
- No sensitive data (.env, API keys, etc.)
2. **Check .gitignore** is working:
```bash
git status
# Verify .qwen/, results/, *.db are NOT shown
```
3. **Review staged changes:**
```bash
git diff --staged
# Review what will be committed
```
4. **Run tests** (if applicable):
```bash
pytest test/backtesting/ -v
# Ensure all tests pass
```
### Commit Message Format
Use [Conventional Commits](https://www.conventionalcommits.org/):
```
<type>: <description in English>
[optional body]
```
**Types:**
- `feat:` - New feature
- `fix:` - Bug fix
- `test:` - Tests
- `docs:` - Documentation
- `chore:` - Maintenance
- `style:` - Formatting
- `refactor:` - Code restructuring
**Examples:**
```bash
feat: Add backtesting tests with 98% coverage
fix: Remove .qwen/ from Git tracking
test: Add unit tests for ResultsDatabase
docs: Update QWEN.md with commit guidelines
chore: Add pytest to requirements.txt
```
### Protected Files (NEVER commit)
These files/directories MUST NEVER be committed:
```
.qwen/ # AI agent files (generated)
results/ # Backtest results (sensitive data)
*.db # SQLite databases
.env # Environment variables (API keys!)
git_ignore_folder/ # Generated data
*.log # Log files
```
If you accidentally commit any of these:
```bash
# Remove from last commit (keeps files locally)
git reset HEAD~1
# Or remove from tracking
git rm -r --cached .qwen/
git commit -m "chore: Remove .qwen/ from tracking"
```
### Fixing Past Commits
**To fix the last 3-5 commits:**
```bash
# For last 5 commits
git rebase -i HEAD~5
# In the editor, change 'pick' to 'reword' for commits to rename
# Save and close
# Write new English message for each commit
```
**To fix older commits (advanced):**
```bash
# Find the commit hash
git log --oneline
# Start rebase from that commit
git rebase -i <commit-hash>^
# Follow same process as above
```
**Current German commits to fix (as of April 2026):**
```
73140b68 test: Backtesting Tests mit 98.77% Coverage
→ test: Add backtesting tests with 98.77% coverage
5148d17d chore: QWEN.md zu .gitignore hinzugefügt
→ chore: Add QWEN.md to .gitignore
df93e162 feat: Intelligent Embedding Chunking statt Kürzung
→ feat: Intelligent embedding chunking instead of truncation
01aa183a fix: CLI Dashboard in separatem Terminal-Fenster
→ fix: CLI dashboard in separate terminal window
df356978 feat: predix.py Wrapper für Dashboard-Support
→ feat: predix.py wrapper for dashboard support
89d01f5d feat: Beautiful CLI Dashboard + korrigierter Start-Befehl
→ feat: Beautiful CLI dashboard + corrected start command
48e4f44e feat: Auto-Start Dashboard für fin_quant
→ feat: Auto-start dashboard for fin_quant
59122a19 feat: Dashboard + Live-Daten Integration (Phase 4)
→ feat: Dashboard + live data integration (Phase 4)
a0f414ed feat: EURUSD Trading-Verbesserungen (Phase 2 & 3)
→ feat: EURUSD trading improvements (Phase 2 & 3)
e8b962b5 feat: EURUSD Trading-Verbesserungen implementiert (Phase 1)
→ feat: Implement EURUSD trading improvements (Phase 1)
```
**⚠️ Warning:** Rewriting history changes commit hashes. If you've already pushed:
```bash
# After rebasing locally
git push --force-with-lease origin master
# Tell team members to re-clone:
git clone <repo-url>
```
### Push Policy
**BEFORE pushing:**
1. Verify commit messages are in English
2. Verify no protected files are included
3. Run tests one final time
```bash
git status
git log -3 --oneline # Verify last 3 commits
pytest test/backtesting/ -v # Quick test
git push origin master
```
### Enforcement
- All PRs will be rejected if commit messages are not in English
- Protected files in commits will be rejected
- Tests must pass before merging
**Remember:** Consistent English commit messages ensure:
- International collaboration
- Better searchability
- Professional project history
TODO.md
-45
View File
@@ -1,45 +0,0 @@
# TODOs
This file tracks global TODOs for the Predix project. Individual TODOs in code should be addressed in their respective modules.
## Current Global TODOs
### Low Priority (Post-v1.0.0)
- [ ] Align naming conventions for files in `components/` and `scenarios/` directories
- Current mismatch: `coder` in `components/` vs `developer` in `scenarios/`
- **Status:** Inherited from RD-Agent upstream, works as-is
- **Priority:** Low - cosmetic only, no functional impact
- [ ] Clean up folder naming inconsistencies
- Investigate why some scenario-related code is in `experiments/` folders
- **Status:** Historical structure from RD-Agent
- **Priority:** Low - works correctly, can refactor later
## Completed
### v1.0.0 Release (2026-04-02)
- [x] Rebrand from RD-Agent to Predix for EUR/USD focus
- [x] Remove Microsoft-specific references
- [x] Update documentation for PredixAI organization
- [x] Translate all code comments to English
- [x] Create comprehensive QWEN.md (development guide)
- [x] Create ATTRIBUTION.md (usage guidelines)
- [x] Update README.md with installation and quick start
- [x] Create CHANGELOG.md with v1.0.0 release notes
- [x] Create changelog/ directory structure (changelog/v1.0.0.md)
- [x] Prepare GitHub Release v1.0.0
- [x] Pass all tests (97/97, 98.77% coverage)
- [x] Complete .gitignore for sensitive files
- [x] Clean up git history (remove logs, test artifacts)
- [x] Add English-only commit message policy to QWEN.md
- [x] Add comprehensive Acknowledgments (RD-Agent, TradingAgents, ai-hedge-fund)
### Future Releases
- [ ] v1.1.0: Live paper-trading integration
- [ ] v1.1.0: Additional ML-based factor types
- [ ] v1.2.0: Docker containerization
- [ ] v1.2.0: CI/CD pipeline
- [ ] v1.3.0: Performance optimization
predix.py
-138
View File
@@ -1,138 +0,0 @@
#!/usr/bin/env python3
"""
Predix CLI Wrapper - Startet fin_quant mit Dashboard-Unterstützung
Verwendung:
python predix.py fin_quant # Normal
python predix.py fin_quant -d # Web Dashboard
python predix.py fin_quant -c # CLI Dashboard
python predix.py fin_quant -d -c # Beide
python predix.py fin_quant --help # Hilfe
"""
import sys
import os
from pathlib import Path
# Parent-Directory zum Path hinzufügen
sys.path.insert(0, str(Path(__file__).parent))
# Environment laden
from dotenv import load_dotenv
load_dotenv(".env")
import subprocess
import threading
import time
from rich.console import Console
console = Console()
def start_web_dashboard(port=5000):
"""Starte Web Dashboard."""
console.print(f"\n[bold green]🚀 Starting Web Dashboard on http://localhost:{port}...[/bold green]")
console.print(f" [cyan]Open: http://localhost:{port}/dashboard.html[/cyan]\n")
subprocess.run(
["python", "web/dashboard_api.py"],
cwd=str(Path(__file__).parent),
env={**os.environ, "FLASK_ENV": "development"}
)
def start_cli_dashboard():
"""Starte CLI Dashboard."""
from rdagent.log.ui.predix_dashboard import run_dashboard
run_dashboard(log_path="fin_quant.log", refresh_interval=3)
def fin_quant(path=None, step_n=None, loop_n=None, all_duration=None, checkout=True):
"""Starte fin_quant."""
from rdagent.app.qlib_rd_loop.quant import main
main(path=path, step_n=step_n, loop_n=loop_n, all_duration=all_duration, checkout=checkout)
def start_cli_dashboard_standalone():
"""
Startet CLI Dashboard in einem SEPARATEN Terminal-Fenster.
"""
import subprocess
# Dashboard Script in neuem Terminal starten
dashboard_script = Path(__file__).parent / "rdagent" / "log" / "ui" / "predix_dashboard.py"
# Versuche verschiedene Terminal-Emulatoren
terminal_commands = [
["gnome-terminal", "--", "python", str(dashboard_script)],
["konsole", "-e", "python", str(dashboard_script)],
["xterm", "-e", "python", str(dashboard_script)],
["tilix", "-e", "python", str(dashboard_script)],
]
for cmd in terminal_commands:
try:
subprocess.Popen(cmd, start_new_session=True)
console.print(f"[bold green]✓ Dashboard in neuem Terminal-Fenster gestartet[/bold green]")
return True
except FileNotFoundError:
continue
console.print("[yellow]⚠ Kein unterstütztes Terminal gefunden. Verwende Web Dashboard (-d) statt CLI.[/yellow]")
return False
def main():
import argparse
parser = argparse.ArgumentParser(
description="Predix EURUSD Trading",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python predix.py fin_quant # Normal starten
python predix.py fin_quant -d # Web Dashboard (empfohlen!)
python predix.py fin_quant -c # CLI Dashboard (separates Terminal)
python predix.py fin_quant -d -c # Beide Dashboards
python predix.py fin_quant --dashboard-port 5001 # Custom Port
"""
)
subparsers = parser.add_subparsers(dest='command', help='Commands')
# fin_quant command
fq_parser = subparsers.add_parser('fin_quant', help='Start EURUSD quantitative trading loop')
fq_parser.add_argument('--path', type=str, default=None, help='Path')
fq_parser.add_argument('--step-n', type=int, default=None, help='Number of steps')
fq_parser.add_argument('--loop-n', type=int, default=None, help='Number of loops')
fq_parser.add_argument('--all-duration', type=str, default=None, help='Duration')
fq_parser.add_argument('--checkout', action='store_true', default=True, help='Checkout')
fq_parser.add_argument('--no-checkout', action='store_false', dest='checkout', help='No checkout')
fq_parser.add_argument('-d', '--with-dashboard', action='store_true', help='Start web dashboard')
fq_parser.add_argument('-c', '--cli-dashboard', action='store_true', help='Start CLI dashboard in new terminal')
fq_parser.add_argument('--dashboard-port', type=int, default=5000, help='Dashboard port')
args = parser.parse_args()
if args.command == 'fin_quant':
# Start Web Dashboard wenn gewünscht
if args.with_dashboard:
dashboard_thread = threading.Thread(target=start_web_dashboard, args=(args.dashboard_port,), daemon=True)
dashboard_thread.start()
time.sleep(2)
console.print(f"[bold green]✓ Web Dashboard gestartet: http://localhost:{args.dashboard_port}/dashboard.html[/bold green]")
# Start CLI Dashboard in SEPARATEM Terminal wenn gewünscht
if args.cli_dashboard:
start_cli_dashboard_standalone()
time.sleep(1)
# Fin Quant starten
console.print("\n[bold cyan]Starting fin_quant...[/bold cyan]\n")
fin_quant(
path=args.path,
step_n=args.step_n,
loop_n=args.loop_n,
all_duration=args.all_duration,
checkout=args.checkout
)
else:
parser.print_help()
if __name__ == '__main__':
main()