FinRL®: Financial Reinforcement Learning. 🔥
This report presents the forensic synthetic code analysis of AI4Finance-Foundation/FinRL, a Jupyter Notebook project with 15,724 GitHub stars. SynthScan v2.0 examined 19,762 lines of code across 107 source files, recording 262 pattern matches distributed across 13 syntactic categories. The overall adjusted score of 18.3 places this repository in the Moderate AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 262 distinct pattern matches across 13 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | setup.py | 1 | CODE | |
| LOW | finrl/plot.py | 1 | CODE | |
| LOW | finrl/plot.py | 15 | CODE | |
| LOW | finrl/config.py | 2 | CODE | |
| LOW | finrl/config_private.py | 1 | CODE | |
| LOW | finrl/trade.py | 1 | CODE | |
| LOW | finrl/__init__.py | 1 | CODE | |
| LOW | finrl/__init__.py | 3 | CODE | |
| LOW | finrl/__init__.py | 4 | CODE | |
| LOW | finrl/__init__.py | 5 | CODE | |
| LOW | finrl/test.py | 1 | CODE | |
| LOW | finrl/test.py | 4 | CODE | |
| LOW | finrl/train.py | 1 | CODE | |
| LOW | finrl/train.py | 5 | CODE | |
| LOW | finrl/train.py | 6 | CODE | |
| LOW | finrl/main.py | 1 | CODE | |
| LOW | finrl/main.py | 5 | CODE | |
| LOW | finrl/config_tickers.py | 1 | CODE | |
| LOW | finrl/__main__.py | 1 | CODE | |
| LOW | finrl/meta/data_processor.py | 1 | CODE | |
| LOW | finrl/meta/meta_config.py | 1 | CODE | |
| LOW | …v_portfolio_optimization/env_portfolio_optimization.py | 3 | CODE | |
| LOW | finrl/meta/env_portfolio_allocation/env_portfolio.py | 1 | CODE | |
| LOW | finrl/meta/env_cryptocurrency_trading/env_btc_ccxt.py | 1 | CODE | |
| LOW | …meta/env_cryptocurrency_trading/env_multiple_crypto.py | 1 | CODE | |
| LOW | finrl/meta/paper_trading/common.py | 4 | CODE | |
| LOW | finrl/meta/paper_trading/alpaca.py | 3 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 3 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 5 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 6 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 11 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 7 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 11 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 12 | CODE | |
| LOW | finrl/meta/data_processors/processor_quantconnect.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_sinopac.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_ccxt.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_wrds.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/processor_wrds.py | 8 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 3 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 7 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 10 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 11 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 12 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 13 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 14 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 15 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 16 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 21 | CODE | |
| LOW | finrl/meta/data_processors/processor_joinquant.py | 1 | CODE | |
| LOW | finrl/meta/data_processors/func.py | 1 | CODE | |
| LOW | …rl/meta/env_stock_trading/env_stocktrading_stoploss.py | 1 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_nas100_wrds.py | 1 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 1 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 3 | CODE | |
| LOW | …meta/env_stock_trading/env_stocktrading_cashpenalty.py | 1 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stock_papertrading.py | 1 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading_np.py | 1 | CODE | |
| 62 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | finrl/meta/paper_trading/common.py | 0 | provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods | STRING |
| HIGH | finrl/agents/elegantrl/models.py | 0 | provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods | STRING |
| HIGH | finrl/agents/stablebaselines3/models.py | 0 | provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods | STRING |
| HIGH | finrl/meta/data_processors/processor_alpaca.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/data_processors/processor_eodhd.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/data_processors/processor_sinopac.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/data_processors/processor_wrds.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/data_processors/processor_yahoofinance.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/preprocessor/preprocessors.py | 0 | add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframe | STRING |
| HIGH | finrl/meta/preprocessor/tusharedownloader.py | 0 | fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, clos | STRING |
| HIGH | finrl/meta/preprocessor/yahoodownloader.py | 0 | fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, clos | STRING |
| HIGH | finrl/meta/preprocessor/ibkrdownloader.py | 0 | fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, clos | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | README.md | 118 | ### Step 1: Clone the Repository | COMMENT |
| LOW⚡ | README.md | 125 | ### Step 2: Create and Activate Virtual Environment | COMMENT |
| LOW⚡ | README.md | 132 | ### Step 3: Install FinRL | COMMENT |
| LOW⚡ | README.md | 138 | ### Step 4: Run the Scripts | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_alpaca.py | 142 | # Step 1: Merging dataframes to avoid loop | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_alpaca.py | 150 | # Step 2: Handling NaN values efficiently | COMMENT |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 173 | # Step 3: Data type conversion | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 37 | # Step 1: Get NASDAQ 100 components | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 47 | # Step 2: Fetch historical minute data for each ticker | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 93 | # Step 3: Save the data | COMMENT |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 118 | # Step 1: First pass to collect all unique dates | COMMENT |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 141 | # Step 2: Second pass to update each file with the 'Day' column | COMMENT |
| LOW⚡ | examples/README.md | 3 | ### Step 1: Clone the Repository | COMMENT |
| LOW⚡ | examples/README.md | 10 | ### Step 2: Create and Activate Virtual Environment | COMMENT |
| LOW⚡ | examples/README.md | 17 | ### Step 3: Install FinRL | COMMENT |
| LOW⚡ | examples/README.md | 23 | ### Step 4: Run the Scripts | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finrl/plot.py | 258 | CODE | |
| LOW | finrl/main.py | 51 | CODE | |
| LOW | …v_portfolio_optimization/env_portfolio_optimization.py | 200 | CODE | |
| LOW | …v_portfolio_optimization/env_portfolio_optimization.py | 571 | CODE | |
| LOW | finrl/meta/paper_trading/alpaca.py | 20 | CODE | |
| LOW | finrl/meta/paper_trading/alpaca.py | 147 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 411 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 23 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 166 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 205 | CODE | |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 242 | CODE | |
| LOW | finrl/meta/data_processors/processor_sinopac.py | 91 | CODE | |
| LOW | finrl/meta/data_processors/processor_ccxt.py | 16 | CODE | |
| LOW | finrl/meta/data_processors/processor_ccxt.py | 24 | CODE | |
| LOW | finrl/meta/data_processors/processor_wrds.py | 20 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 182 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 274 | CODE | |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 531 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 113 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 231 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stock_papertrading.py | 17 | CODE | |
| LOW | finrl/agents/stablebaselines3/tune_sb3.py | 33 | CODE | |
| LOW | finrl/agents/stablebaselines3/tune_sb3.py | 108 | CODE | |
| LOW | finrl/agents/rllib/models.py | 80 | CODE | |
| LOW | finrl/agents/rllib/models.py | 113 | CODE | |
| LOW | …pplications/stock_trading/fundamental_stock_trading.py | 4 | CODE | |
| LOW | …pplications/stock_trading/fundamental_stock_trading.py | 413 | CODE | |
| LOW | …pplications/stock_trading/fundamental_stock_trading.py | 519 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finrl/plot.py | 29 | def convert_daily_return_to_pyfolio_ts(df): | CODE |
| LOW | finrl/main.py | 45 | def check_and_make_directories(directories: list[str]): | CODE |
| LOW | finrl/meta/data_processor.py | 13 | class DataProcessor: | CODE |
| LOW | …v_portfolio_optimization/env_portfolio_optimization.py | 403 | def _get_state_and_info_from_time_index(self, time_index): | CODE |
| LOW | …meta/env_cryptocurrency_trading/env_multiple_crypto.py | 114 | def _generate_action_normalizer(self): | CODE |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 205 | def nber_present_tics_per_day(self, max_days, tics_in_more_than_90perc_days): | CODE |
| LOW | finrl/meta/data_processors/processor_joinquant.py | 46 | def calc_trade_days_by_joinquant(self, start_day, end_day): | CODE |
| LOW | finrl/meta/data_processors/func.py | 13 | def calc_stockname_from_filename(filename): | CODE |
| LOW | finrl/meta/data_processors/func.py | 91 | def calc_train_trade_starts_ends_if_rolling( | CODE |
| LOW | finrl/agents/stablebaselines3/tune_sb3.py | 108 | def default_sample_hyperparameters(self, trial: optuna.Trial): | CODE |
| LOW | finrl/agents/portfolio_optimization/architectures.py | 514 | def _create_edge_type_for_batch(self, batch, edge_type): | CODE |
| LOW | …ications/stock_trading/stock_trading_rolling_window.py | 31 | def stock_trading_rolling_window( | CODE |
| LOW | unit_tests/test_core.py | 55 | def test_check_and_make_directories(DIRS: list[str]) -> None: | CODE |
| LOW | unit_tests/test_core.py | 84 | def test_feature_engineer_no_turbulence( | CODE |
| LOW | unit_tests/test_core.py | 114 | def test_feature_engineer_turbulence_less_than_a_year( | CODE |
| LOW | unit_tests/test_core.py | 148 | def test_feature_engineer_turbulence_more_than_a_year( | CODE |
| LOW | unit_tests/preprocessors/test_yahoodownloader.py | 38 | def test_adjust_prices_calculates_correctly(self): | CODE |
| LOW | unit_tests/preprocessors/test_yahoodownloader.py | 82 | def test_adjust_prices_drops_columns(self): | CODE |
| LOW | unit_tests/preprocessors/test_groupby_scaler.py | 39 | def test_fit_transform_specific_column(): | CODE |
| LOW | unit_tests/preprocessors/test_groupby_scaler.py | 60 | def test_fit_transform_other_df(): | CODE |
| LOW | unit_tests/preprocessors/test_groupby_scaler.py | 85 | def test_minmax_fit_transform(): | CODE |
| LOW | unit_tests/preprocessors/test_groupby_scaler.py | 106 | def test_minmax_fit_transform_specific_column(): | CODE |
| LOW | unit_tests/preprocessors/test_groupby_scaler.py | 127 | def test_minmax_fit_transform_other_df(): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | finrl/meta/paper_trading/common.py | 2 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 15 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 551 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 686 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 744 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 799 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| MEDIUM | finrl/meta/paper_trading/common.py | 842 | # ---------------------------------------------------------------------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | finrl/meta/data_processors/processor_eodhd.py | 87 | print(f"Error fetching data for {ticker}: {response.text}") | CODE |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 200 | except Exception as e: | CODE |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 234 | except Exception as e: | CODE |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 277 | except Exception as e: | CODE |
| LOW | finrl/meta/data_processors/processor_sinopac.py | 127 | except Exception as e: | CODE |
| MEDIUM | finrl/meta/data_processors/processor_sinopac.py | 128 | print(f"Error calculating {indicator}: {str(e)}") | CODE |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 103 | except Exception as e: | CODE |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 172 | except Exception as e: | CODE |
| MEDIUM | finrl/meta/data_processors/processor_yahoofinance.py | 173 | print(f"Error fetching data for {stock_name}: {e}") | CODE |
| LOW | finrl/meta/data_processors/processor_yahoofinance.py | 403 | except Exception as e: | CODE |
| MEDIUM | finrl/meta/data_processors/processor_yahoofinance.py | 130 | def safe_convert(value, dtype): | CODE |
| LOW | finrl/meta/preprocessor/preprocessors.py | 228 | except Exception as e: | CODE |
| LOW | finrl/meta/preprocessor/shioajidownloader.py | 56 | except Exception as e: | CODE |
| MEDIUM | finrl/meta/preprocessor/shioajidownloader.py | 77 | print(f"Error renaming columns: {e}") | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finrl/plot.py | 258 | CODE | |
| LOW | finrl/plot.py | 337 | CODE | |
| LOW | …v_portfolio_optimization/env_portfolio_optimization.py | 73 | CODE | |
| LOW | finrl/meta/env_cryptocurrency_trading/env_btc_ccxt.py | 7 | CODE | |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 312 | CODE | |
| LOW | finrl/meta/data_processors/processor_sinopac.py | 41 | CODE | |
| LOW | …rl/meta/env_stock_trading/env_stocktrading_stoploss.py | 64 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_nas100_wrds.py | 15 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 35 | CODE | |
| LOW | …meta/env_stock_trading/env_stocktrading_cashpenalty.py | 52 | CODE | |
| LOW | finrl/meta/env_stock_trading/env_stocktrading_np.py | 9 | CODE | |
| LOW | finrl/agents/rllib/drllibv2.py | 125 | CODE | |
| LOW | finrl/agents/portfolio_optimization/algorithms.py | 34 | CODE | |
| LOW | finrl/agents/portfolio_optimization/architectures.py | 101 | CODE | |
| LOW | finrl/agents/portfolio_optimization/architectures.py | 245 | CODE | |
| LOW | finrl/agents/portfolio_optimization/architectures.py | 278 | CODE | |
| LOW | finrl/agents/portfolio_optimization/architectures.py | 464 | CODE | |
| LOW | …pplications/stock_trading/fundamental_stock_trading.py | 347 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | finrl/meta/data_processors/processor_alpaca.py | 142 | # Step 1: Merging dataframes to avoid loop | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_alpaca.py | 150 | # Step 2: Handling NaN values efficiently | COMMENT |
| LOW | finrl/meta/data_processors/processor_alpaca.py | 173 | # Step 3: Data type conversion | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 37 | # Step 1: Get NASDAQ 100 components | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 47 | # Step 2: Fetch historical minute data for each ticker | COMMENT |
| LOW⚡ | finrl/meta/data_processors/processor_eodhd.py | 93 | # Step 3: Save the data | COMMENT |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 118 | # Step 1: First pass to collect all unique dates | COMMENT |
| LOW | finrl/meta/data_processors/processor_eodhd.py | 141 | # Step 2: Second pass to update each file with the 'Day' column | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | finrl/meta/data_processors/processor_sinopac.py | 48 | # Create a new DataFrame to ensure all time points are included | COMMENT |
| MEDIUM | …pplications/stock_trading/fundamental_stock_trading.py | 265 | # Create a dataframe that merges all the ratios | COMMENT |
| MEDIUM | unit_tests/preprocessors/test_yahoodownloader.py | 21 | # Create a sample DataFrame similar to what fetch_data might produce before adjustment | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finrl/test.py | 101 | cwd="./test_ppo", | COMMENT |
| LOW | finrl/test.py | 121 | # cwd="./test_ppo/checkpoint_000030/checkpoint-30", | COMMENT |
| LOW | finrl/train.py | 121 | erl_params=ERL_PARAMS, | COMMENT |
| LOW | finrl/train.py | 141 | # cwd="./test_ppo", | COMMENT |
| LOW | finrl/agents/stablebaselines3/models.py | 641 | self.unique_trade_date[i - self.rebalance_window], | COMMENT |
| LOW | docs/source/conf.py | 1 | # | COMMENT |
| LOW | docs/source/conf.py | 121 | # to template names. | COMMENT |
| LOW | docs/source/conf.py | 141 | # | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finrl/meta/env_stock_trading/env_stocktrading.py | 117 | ): # check if the stock is able to sell, for simlicity we just add it in techical index | CODE |
| MEDIUM | unit_tests/preprocessors/test_yahoodownloader.py | 79 | # Use pandas testing utility for robust DataFrame comparison | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | finrl/meta/data_processors/processor_alpaca.py | 158 | tmp_df.iloc[0] = [first_valid_price] * 4 + [0.0] # Set volume to zero | CODE |