- Add vbt_backtest.py as single source of truth for all metric formulas
(Sharpe, drawdown, IC, transaction costs) — backtest_engine.py and
strategy_orchestrator.py now delegate to it
- Add LLMUnavailableError to exception.py; rd_loop.py catches it at the
proposal stage and raises LoopResumeError to avoid corrupting trace
history with None hypotheses
- Guard record() against None exp/hypothesis so loop resets leave
trace.hist in a consistent state
- Refactor strategy_orchestrator and optuna_optimizer to use unified
backtest path; remove duplicate metric calculation code
- Add predix_rebacktest_unified.py script for offline re-evaluation
- Update tests and README
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Optuna now runs for ALL strategies (accepted AND rejected)
- Fix critical bug: Optuna parameters are now injected into LLM-generated
code via regex patching (entry_thresh, exit_thresh, window, signal_window)
Previously all 30 trials executed identical code producing the same Sharpe
- Add continuous optimization loop (--max-iterations) for repeated
strategy generation and optimization cycles
- Improve prompt v5 with better IC-inversion examples and realistic
code templates
- Expand Optuna search space: zscore_window, signal_bias, max_hold_bars
- CLI: add --continuous, --max-iterations, --optuna-trials flags
- Show best strategy with optimized parameters in summary output
Added 'rdagent predix' command showing:
- System status (factors, strategies, security)
- Available commands table
- Quick start guide
- Version and release info
Perfect for GitHub README screenshots.
Also fixed release tag to use today's date (2026.04.10).
- Add --model/-m flag to select LLM backend
* local: llama.cpp on localhost (default)
* openrouter: Cloud models via OpenRouter API
- Create predix.py as new CLI entry point with model selection
- Add OPENROUTER_API_KEY and OPENROUTER_MODEL to .env
- Add health and status commands to CLI
- Update rdagent/app/cli.py with model selection logic
Usage:
predix quant # Local (default)
predix quant -m openrouter # OpenRouter cloud
predix quant -m local -d # Local + dashboard
Tests: 93 passed
* update rdagent cmd
* fix log error message
* use multiProcessing.Process instead of subprocess.Popen
* add traces to gitignore
* add user interactor in RDLoop (finance scenarios)
* add interactor (feedback, hypothesis) for quant scens
* fix the test_end in qlib conf
* add features init config, general instruction to qlib scenarios
* set base features for based exp
* fix bug when combine factors
* move traces folder to git_ignore_folder
* fix bug in features init
* fix quant interact bug
* fix logger warning error
* bug fixes
* modify rdagent logger, now it can set file output
* adjust cli functions and fix logger bug
* fix server port transport problem
* update server_ui in cli
* add web code
* fix CI problem
* black fix
* update web ui README
* update README
* update readme
* feat: add interactor classes and user interaction handling for experiments
* update code
* use fragment retry mechanism instead of rerun()
* fix a bug
* integrate user instructions into proposal and coder
* fix CI
* fix CI
* feat: add approval option for user instructions submission
* feat: enhance user instructions handling in Task and DSExperiment classes
* fix CI
* add user instructions into hypothesis rewrite
* add interface to command line
---------
Co-authored-by: Bowen Xian <xianbowen@outlook.com>
* update data science docs part1
* update data science docs part2
* update data science docs part3
* update data science docs part4
* update data science docs part5
* format with isort
* update data science docs part6
* add check environment scripts
* format with isort
* format with isort
* merge env_check to health_check
* format with isort
* format with black
* optimize code
* use boolean cli options
* replace fire with typer
* replace fire with typer
* optimizing parameter and variable naming
* fix model input shape bug and costeer_model bug
* fix a bug
* fix a bug in docker result extraction
* a system-level optimization
* add a filter of stdout
* update
* add stdout to model
* model training_hyperparameters update
* quant scenario
* update some quant settings
* llm choose action
* Thompson Sampling Bandit for action choosing
* refine both scens
* add trace messages for quant scen
* fix some bugs
* fix some bugs
* update
* update
* update
* fix
* fix
* fix
* update for merge
* fix ci
* fix some bugs
* fix ci
* fix ci
* fix ci
* fix ci
* refactor
* default qlib4rdagent local env downloading
* fix ci
* fix ci
* fix a bug
* fix ci
* fix: align all prompts on template (#908)
* use template to render all prompts
* fix CI
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* add fin_quant in cli
* fix a bug
* fix ci
* fix some bugs
* refactor
* remove the columns in hypothesis if no value generated in this column
* fix a bug
* fix ci
* fix conda env
* add qlib gitignore
* remove existed qlib folder & install torch in qlib conda
* fix workspace ui in feedback
* align model config in coder and runner in docker or conda
* fix CI
* fix CI
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* fix PR template
* subfolders of the log displayed on the web page
* fix code error
* add health check
* reformat with isort
* reformat with black
* update README
* fix bug && experience confusing
* reformat with black & update health check code
* reformat with isort
* reformat with black
* update README.md
* Removed duplicates in documentation and health_check && Upgraded code for filtering folders
* update docs
* reformat with black
* add collect info
* fix isort error
* optimize code
* fix black error
* Update rdagent/app/cli.py
* Modify the code according to the comments
* fix isort error
* add docker info
* docs: update contributors (#230)
* fix: package dependency. (#234)
* fix package
* fix lint
* docs: Update development.rst (#235)
* feat: add cross validation for kaggle scenario (#236)
* update cross validation for kaggle scenario
* CI Issues
* delete useless file
* CI issues
* docs: Update README.md (#245)
* docs: refine the README (#244)
* init a scenario for kaggle feature engineering
* update the readme
* Delete rdagent/app/kaggle_feature/conf.py
* update some pictures
* Delete rdagent/app/kaggle_feature/model.py
* change a photo
* add pics to docs
* update the readme
* update the README
* for a try
* for another try
* change the style of the pictures in readme
* fix a small bug
* update the readme and the docs
* update the docs
* fix a typo
* change a website url
* change some styles
* fix a typo
* change the size of the logo
* change two urls
* Update README.md
* Update README.md
* Update README.md
* Update README.md
---------
Co-authored-by: Linlang <Lv.Linlang@hotmail.com>
* move the component to other files
* last container
* optimize rdagent info
* format with isort
* format with black
* format_with_black
* fix pip error
* format with isort
* change requirements
* fix pip error
* fix_pip_error
* fix pip error
* format with black
* fix pip error
---------
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Haotian Chen <113661982+Hytn@users.noreply.github.com>
Co-authored-by: Haoran Pan <167847254+TPLin22@users.noreply.github.com>
Co-authored-by: Way2Learn <118058822+Xisen-Wang@users.noreply.github.com>
Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
Co-authored-by: Young <afe.young@gmail.com>
TPTBusiness