AI Slop Code RIsk Monitor

AI4Finance-Foundation/FinRL

FinRL®: Financial Reinforcement Learning. 🔥

18.7 Elevated pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for AI4Finance-Foundation/FinRL, a Jupyter Notebook project with 16,620 GitHub stars. SynthScan examined 22,149 lines of code across 121 source files, recording 311 pattern matches distributed across 14 syntactic categories. The legacy adjusted pattern signal is 18.7 (Elevated pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

18.7
Adjusted Signal
18.7
Raw Pattern Score
100%
Time Factor
2026-10-09
Last Push
16.6K
Stars
Jupyter Notebook
Language
22.1K
Lines of Code
121
Files
311
Pattern Hits
2026-10-12
Scan Date
0.10
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 32.4/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 138 finding(s).

Hallucinated Dependency & Supply Chain Risk 26.8/100 · MEDIUM

Are imports declared and package/API names verified? 138 finding(s).

Agent Over-Engineering Ratio 32.9/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 106 finding(s).

PR Review Velocity Impact 59.7/100 · HIGH

Which changes need focused human review? 311 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 12MEDIUM 16LOW 283

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 311 distinct pattern matches across 14 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Unused Imports138 hits · 138 pts
SeverityFileLineSnippetContext
LOWsetup.py1CODE
LOWfinrl/plot.py1CODE
LOWfinrl/plot.py15CODE
LOWfinrl/config.py2CODE
LOWfinrl/config_private.py1CODE
LOWfinrl/trade.py1CODE
LOWfinrl/__init__.py1CODE
LOWfinrl/__init__.py3CODE
LOWfinrl/__init__.py4CODE
LOWfinrl/__init__.py5CODE
LOWfinrl/test.py1CODE
LOWfinrl/test.py4CODE
LOWfinrl/train.py1CODE
LOWfinrl/train.py5CODE
LOWfinrl/train.py6CODE
LOWfinrl/main.py1CODE
LOWfinrl/main.py5CODE
LOWfinrl/config_tickers.py1CODE
LOWfinrl/__main__.py1CODE
LOWfinrl/meta/data_processor.py1CODE
LOWfinrl/meta/meta_config.py1CODE
LOW…v_portfolio_optimization/env_portfolio_optimization.py3CODE
LOWfinrl/meta/env_portfolio_allocation/env_portfolio.py1CODE
LOWfinrl/meta/env_cryptocurrency_trading/env_btc_ccxt.py1CODE
LOW…meta/env_cryptocurrency_trading/env_multiple_crypto.py1CODE
LOWfinrl/meta/paper_trading/common.py4CODE
LOWfinrl/meta/paper_trading/alpaca.py3CODE
LOWfinrl/meta/data_processors/processor_alpaca.py1CODE
LOWfinrl/meta/data_processors/processor_alpaca.py3CODE
LOWfinrl/meta/data_processors/processor_alpaca.py5CODE
LOWfinrl/meta/data_processors/processor_alpaca.py6CODE
LOWfinrl/meta/data_processors/processor_alpaca.py11CODE
LOWfinrl/meta/data_processors/processor_eodhd.py1CODE
LOWfinrl/meta/data_processors/processor_eodhd.py7CODE
LOWfinrl/meta/data_processors/processor_eodhd.py11CODE
LOWfinrl/meta/data_processors/processor_eodhd.py12CODE
LOWfinrl/meta/data_processors/processor_quantconnect.py1CODE
LOWfinrl/meta/data_processors/processor_sinopac.py1CODE
LOWfinrl/meta/data_processors/processor_ccxt.py1CODE
LOWfinrl/meta/data_processors/processor_wrds.py1CODE
LOWfinrl/meta/data_processors/processor_wrds.py8CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py3CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py7CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py10CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py11CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py12CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py13CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py14CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py15CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py16CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py21CODE
LOWfinrl/meta/data_processors/processor_joinquant.py1CODE
LOWfinrl/meta/data_processors/func.py1CODE
LOWfinrl/meta/data_processors/processor_fxmacrodata.py1CODE
LOWfinrl/meta/data_processors/processor_fxmacrodata.py3CODE
LOW…rl/meta/env_stock_trading/env_stocktrading_stoploss.py1CODE
LOWfinrl/meta/env_stock_trading/env_nas100_wrds.py1CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading.py1CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading.py3CODE
LOW…meta/env_stock_trading/env_stocktrading_cashpenalty.py1CODE
78 more matches not shown…
Cross-File Repetition12 hits · 60 pts
SeverityFileLineSnippetContext
HIGHfinrl/meta/paper_trading/common.py0provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods STRING
HIGHfinrl/agents/elegantrl/models.py0provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods STRING
HIGHfinrl/agents/stablebaselines3/models.py0provides implementations for drl algorithms attributes ---------- env: gym environment class user-defined class methods STRING
HIGHfinrl/meta/data_processors/processor_alpaca.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/data_processors/processor_eodhd.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/data_processors/processor_sinopac.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/data_processors/processor_wrds.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/data_processors/processor_yahoofinance.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/preprocessor/preprocessors.py0add turbulence index from a precalcualted dataframe :param data: (df) pandas dataframe :return: (df) pandas dataframeSTRING
HIGHfinrl/meta/preprocessor/tusharedownloader.py0fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, closSTRING
HIGHfinrl/meta/preprocessor/yahoodownloader.py0fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, closSTRING
HIGHfinrl/meta/preprocessor/ibkrdownloader.py0fetches data from ibkr api parameters ---------- returns ------- `pd.dataframe` 7 columns: a date, open, high, low, closSTRING
Hyper-Verbose Identifiers52 hits · 55 pts
SeverityFileLineSnippetContext
LOWfinrl/plot.py29def convert_daily_return_to_pyfolio_ts(df):CODE
LOWfinrl/main.py45def check_and_make_directories(directories: list[str]):CODE
LOWfinrl/meta/data_processor.py16class DataProcessor:CODE
LOW…v_portfolio_optimization/env_portfolio_optimization.py403 def _get_state_and_info_from_time_index(self, time_index):CODE
LOW…meta/env_cryptocurrency_trading/env_multiple_crypto.py114 def _generate_action_normalizer(self):CODE
LOWfinrl/meta/data_processors/processor_eodhd.py205 def nber_present_tics_per_day(self, max_days, tics_in_more_than_90perc_days):CODE
LOWfinrl/meta/data_processors/processor_joinquant.py46 def calc_trade_days_by_joinquant(self, start_day, end_day):CODE
LOWfinrl/meta/data_processors/func.py13def calc_stockname_from_filename(filename):CODE
LOWfinrl/meta/data_processors/func.py91def calc_train_trade_starts_ends_if_rolling(CODE
LOWfinrl/meta/data_processors/processor_fxmacrodata.py13class FXMacroDataProcessor:CODE
LOWfinrl/meta/data_processors/processor_fxmacrodata.py67 def download_release_calendar(CODE
LOWfinrl/agents/stablebaselines3/tune_sb3.py118 def default_sample_hyperparameters(self, trial: optuna.Trial):CODE
LOWfinrl/agents/portfolio_optimization/architectures.py514 def _create_edge_type_for_batch(self, batch, edge_type):CODE
LOW…ications/stock_trading/stock_trading_rolling_window.py31def stock_trading_rolling_window(CODE
LOWunit_tests/test_core.py55def test_check_and_make_directories(DIRS: list[str]) -> None:CODE
LOWunit_tests/test_core.py84def test_feature_engineer_no_turbulence(CODE
LOWunit_tests/test_core.py114def test_feature_engineer_turbulence_less_than_a_year(CODE
LOWunit_tests/test_core.py148def test_feature_engineer_turbulence_more_than_a_year(CODE
LOWunit_tests/preprocessors/test_yahoodownloader.py38 def test_adjust_prices_calculates_correctly(self):CODE
LOWunit_tests/preprocessors/test_yahoodownloader.py82 def test_adjust_prices_drops_columns(self):CODE
LOWunit_tests/preprocessors/test_groupby_scaler.py39def test_fit_transform_specific_column():CODE
LOWunit_tests/preprocessors/test_groupby_scaler.py60def test_fit_transform_other_df():CODE
LOWunit_tests/preprocessors/test_groupby_scaler.py85def test_minmax_fit_transform():CODE
LOWunit_tests/preprocessors/test_groupby_scaler.py106def test_minmax_fit_transform_specific_column():CODE
LOWunit_tests/preprocessors/test_groupby_scaler.py127def test_minmax_fit_transform_other_df():CODE
LOWunit_tests/environments/test_env_stock_papertrading.py18def test_trade_starts_submit_order_threads_without_calling_submit_order_early():CODE
LOWunit_tests/environments/test_stocktrading.py43def test_initial_holdings_contribute_to_state_and_reward(shares, shares_type):CODE
LOWunit_tests/environments/test_stocktrading.py67def test_previous_state_restores_cash_and_holdings(shares, state_type):CODE
LOWunit_tests/environments/test_stocktrading.py104def test_reset_restores_single_stock_initial_holdings_after_selling(shares_type):CODE
LOWunit_tests/downloaders/test_fxmacrodata_downloader.py29def test_fxmacrodata_downloader_fetch_data(monkeypatch):CODE
LOWunit_tests/downloaders/test_fxmacrodata_downloader.py81def test_fxmacrodata_processor_download_data(monkeypatch):CODE
LOW⚡unit_tests/downloaders/test_fxmacrodata_downloader.py116def test_fxmacrodata_downloader_invalid_pair():CODE
LOW⚡unit_tests/downloaders/test_fxmacrodata_downloader.py121def test_fxmacrodata_processor_daily_only():CODE
LOW⚡unit_tests/downloaders/test_fxmacrodata_downloader.py128def test_fxmacrodata_macro_downloader_fetches_announcements(monkeypatch):CODE
LOWunit_tests/downloaders/test_fxmacrodata_downloader.py175def test_fxmacrodata_macro_downloader_fetches_calendar_and_predictions(monkeypatch):CODE
LOWunit_tests/downloaders/test_fxmacrodata_downloader.py240def test_fxmacrodata_processor_adds_macro_features():CODE
LOWunit_tests/downloaders/test_fxmacrodata_downloader.py271def test_fxmacrodata_downloader_follows_pagination(monkeypatch):CODE
LOWunit_tests/downloaders/test_yahoofinance_processor.py10def test_scrap_data_sorts_by_day_and_tic():CODE
LOWunit_tests/agents/test_fasttd3.py44def test_projection_conserves_mass_and_stays_non_negative():CODE
LOWunit_tests/agents/test_fasttd3.py55def test_projection_puts_all_mass_on_the_exact_landing_atom():CODE
LOWunit_tests/agents/test_fasttd3.py74def test_projection_interpolates_linearly_between_neighboring_atoms():CODE
LOWunit_tests/agents/test_fasttd3.py85def test_projection_n_atoms_two_is_the_minimum_supported_case():CODE
LOWunit_tests/agents/test_fasttd3.py100def test_a_terminal_transition_ignores_the_next_state_entirely():CODE
LOWunit_tests/agents/test_fasttd3.py115def test_buffer_add_and_sample_round_trips_a_single_transition():CODE
LOWunit_tests/agents/test_fasttd3.py134def test_buffer_caps_at_capacity_and_wraps_like_a_ring():CODE
LOWunit_tests/agents/test_fasttd3.py151def test_buffer_add_accepts_a_batch_larger_than_one_env_step():CODE
LOW⚡unit_tests/agents/test_stablebaselines3_models.py22def test_tqc_and_crossq_are_registered():CODE
LOW⚡unit_tests/agents/test_stablebaselines3_models.py30def test_get_model_builds_the_right_class(env, model_name, model_cls):CODE
LOW⚡unit_tests/agents/test_stablebaselines3_models.py37def test_get_model_then_learn_runs_a_few_steps(env, model_name):CODE
LOWunit_tests/paper_trading/test_alpaca_orders.py67def test_order_dispatch_hands_submit_order_a_response_list():CODE
LOWunit_tests/paper_trading/test_alpaca_orders.py75def test_no_response_list_is_dropped_after_the_join():CODE
LOWunit_tests/paper_trading/test_alpaca_orders.py93def test_failures_are_reported_after_the_threads_are_joined():CODE
Structural Annotation Overuse16 hits · 34 pts
SeverityFileLineSnippetContext
LOW⚡README.md118### Step 1: Clone the RepositoryCOMMENT
LOW⚡README.md125### Step 2: Create and Activate Virtual EnvironmentCOMMENT
LOW⚡README.md132### Step 3: Install FinRLCOMMENT
LOW⚡README.md138### Step 4: Run the ScriptsCOMMENT
LOW⚡finrl/meta/data_processors/processor_alpaca.py142 # Step 1: Merging dataframes to avoid loopCOMMENT
LOW⚡finrl/meta/data_processors/processor_alpaca.py150 # Step 2: Handling NaN values efficientlyCOMMENT
LOWfinrl/meta/data_processors/processor_alpaca.py173 # Step 3: Data type conversionCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py37 # Step 1: Get NASDAQ 100 componentsCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py47 # Step 2: Fetch historical minute data for each tickerCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py93 # Step 3: Save the dataCOMMENT
LOWfinrl/meta/data_processors/processor_eodhd.py118 # Step 1: First pass to collect all unique datesCOMMENT
LOWfinrl/meta/data_processors/processor_eodhd.py141 # Step 2: Second pass to update each file with the 'Day' columnCOMMENT
LOW⚡examples/README.md3### Step 1: Clone the RepositoryCOMMENT
LOW⚡examples/README.md10### Step 2: Create and Activate Virtual EnvironmentCOMMENT
LOW⚡examples/README.md17### Step 3: Install FinRLCOMMENT
LOW⚡examples/README.md23### Step 4: Run the ScriptsCOMMENT
Deep Nesting29 hits · 28 pts
SeverityFileLineSnippetContext
LOWfinrl/plot.py258CODE
LOWfinrl/main.py51CODE
LOWfinrl/meta/data_processor.py17CODE
LOW…v_portfolio_optimization/env_portfolio_optimization.py200CODE
LOW…v_portfolio_optimization/env_portfolio_optimization.py571CODE
LOWfinrl/meta/paper_trading/alpaca.py20CODE
LOWfinrl/meta/paper_trading/alpaca.py147CODE
LOWfinrl/meta/data_processors/processor_alpaca.py411CODE
LOWfinrl/meta/data_processors/processor_eodhd.py23CODE
LOWfinrl/meta/data_processors/processor_eodhd.py166CODE
LOWfinrl/meta/data_processors/processor_eodhd.py205CODE
LOWfinrl/meta/data_processors/processor_eodhd.py242CODE
LOWfinrl/meta/data_processors/processor_sinopac.py91CODE
LOWfinrl/meta/data_processors/processor_ccxt.py16CODE
LOWfinrl/meta/data_processors/processor_ccxt.py24CODE
LOWfinrl/meta/data_processors/processor_wrds.py20CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py185CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py277CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py541CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading.py113CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading.py231CODE
LOWfinrl/meta/env_stock_trading/env_stock_papertrading.py17CODE
LOWfinrl/agents/stablebaselines3/tune_sb3.py35CODE
LOWfinrl/agents/stablebaselines3/tune_sb3.py118CODE
LOWfinrl/agents/rllib/models.py80CODE
LOWfinrl/agents/rllib/models.py113CODE
LOW…pplications/stock_trading/fundamental_stock_trading.py4CODE
LOW…pplications/stock_trading/fundamental_stock_trading.py413CODE
LOW…pplications/stock_trading/fundamental_stock_trading.py519CODE
Decorative Section Separators7 hits · 21 pts
SeverityFileLineSnippetContext
MEDIUMfinrl/meta/paper_trading/common.py2# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py16# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py552# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py687# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py745# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py800# ----------------------------------------------------------------------------------------------------------------------COMMENT
MEDIUMfinrl/meta/paper_trading/common.py841# ----------------------------------------------------------------------------------------------------------------------COMMENT
Excessive Try-Catch Wrapping15 hits · 21 pts
SeverityFileLineSnippetContext
MEDIUM⚡finrl/meta/data_processors/processor_eodhd.py87 print(f"Error fetching data for {ticker}: {response.text}")CODE
LOWfinrl/meta/data_processors/processor_eodhd.py200 except Exception as e:CODE
LOWfinrl/meta/data_processors/processor_eodhd.py234 except Exception as e:CODE
LOWfinrl/meta/data_processors/processor_eodhd.py277 except Exception as e:CODE
LOWfinrl/meta/data_processors/processor_sinopac.py127 except Exception as e:CODE
MEDIUMfinrl/meta/data_processors/processor_sinopac.py128 print(f"Error calculating {indicator}: {str(e)}")CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py103 except Exception as e:CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py172 except Exception as e:CODE
MEDIUMfinrl/meta/data_processors/processor_yahoofinance.py173 print(f"Error fetching data for {stock_name}: {e}")CODE
LOWfinrl/meta/data_processors/processor_yahoofinance.py406 except Exception as e:CODE
MEDIUMfinrl/meta/data_processors/processor_yahoofinance.py130def safe_convert(value, dtype):CODE
LOWfinrl/meta/data_processors/processor_fxmacrodata.py171 except Exception as exc:CODE
LOWfinrl/meta/preprocessor/preprocessors.py228 except Exception as e:CODE
LOWfinrl/meta/preprocessor/shioajidownloader.py56 except Exception as e:CODE
MEDIUMfinrl/meta/preprocessor/shioajidownloader.py77 print(f"Error renaming columns: {e}")CODE
AI Structural Patterns19 hits · 19 pts
SeverityFileLineSnippetContext
LOWfinrl/plot.py258CODE
LOWfinrl/plot.py337CODE
LOW…v_portfolio_optimization/env_portfolio_optimization.py73CODE
LOWfinrl/meta/env_cryptocurrency_trading/env_btc_ccxt.py7CODE
LOWfinrl/meta/data_processors/processor_alpaca.py312CODE
LOWfinrl/meta/data_processors/processor_sinopac.py41CODE
LOW…rl/meta/env_stock_trading/env_stocktrading_stoploss.py64CODE
LOWfinrl/meta/env_stock_trading/env_nas100_wrds.py15CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading.py35CODE
LOW…meta/env_stock_trading/env_stocktrading_cashpenalty.py52CODE
LOWfinrl/meta/env_stock_trading/env_stocktrading_np.py9CODE
LOWfinrl/agents/rllib/drllibv2.py125CODE
LOWfinrl/agents/portfolio_optimization/algorithms.py34CODE
LOWfinrl/agents/portfolio_optimization/architectures.py101CODE
LOWfinrl/agents/portfolio_optimization/architectures.py245CODE
LOWfinrl/agents/portfolio_optimization/architectures.py278CODE
LOWfinrl/agents/portfolio_optimization/architectures.py464CODE
LOWfinrl/agents/fasttd3/agent.py75CODE
LOW…pplications/stock_trading/fundamental_stock_trading.py347CODE
Verbosity Indicators8 hits · 16 pts
SeverityFileLineSnippetContext
LOW⚡finrl/meta/data_processors/processor_alpaca.py142 # Step 1: Merging dataframes to avoid loopCOMMENT
LOW⚡finrl/meta/data_processors/processor_alpaca.py150 # Step 2: Handling NaN values efficientlyCOMMENT
LOWfinrl/meta/data_processors/processor_alpaca.py173 # Step 3: Data type conversionCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py37 # Step 1: Get NASDAQ 100 componentsCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py47 # Step 2: Fetch historical minute data for each tickerCOMMENT
LOW⚡finrl/meta/data_processors/processor_eodhd.py93 # Step 3: Save the dataCOMMENT
LOWfinrl/meta/data_processors/processor_eodhd.py118 # Step 1: First pass to collect all unique datesCOMMENT
LOWfinrl/meta/data_processors/processor_eodhd.py141 # Step 2: Second pass to update each file with the 'Day' columnCOMMENT
Self-Referential Comments3 hits · 9 pts
SeverityFileLineSnippetContext
MEDIUMfinrl/meta/data_processors/processor_sinopac.py48 # Create a new DataFrame to ensure all time points are includedCOMMENT
MEDIUM…pplications/stock_trading/fundamental_stock_trading.py265 # Create a dataframe that merges all the ratiosCOMMENT
MEDIUMunit_tests/preprocessors/test_yahoodownloader.py21 # Create a sample DataFrame similar to what fetch_data might produce before adjustmentCOMMENT
Over-Commented Block8 hits · 8 pts
SeverityFileLineSnippetContext
LOWfinrl/test.py101 cwd="./test_ppo",COMMENT
LOWfinrl/test.py121 # cwd="./test_ppo/checkpoint_000030/checkpoint-30",COMMENT
LOWfinrl/train.py121 erl_params=ERL_PARAMS,COMMENT
LOWfinrl/train.py141 # cwd="./test_ppo",COMMENT
LOWfinrl/agents/stablebaselines3/models.py661 self.train_period[0],COMMENT
LOWdocs/source/conf.py1#COMMENT
LOWdocs/source/conf.py121# to template names.COMMENT
LOWdocs/source/conf.py141 #COMMENT
AI Slop Vocabulary2 hits · 4 pts
SeverityFileLineSnippetContext
LOWfinrl/meta/env_stock_trading/env_stocktrading.py117 ): # check if the stock is able to sell, for simlicity we just add it in techical indexCODE
MEDIUMunit_tests/preprocessors/test_yahoodownloader.py79 # Use pandas testing utility for robust DataFrame comparisonCOMMENT
Redundant / Tautological Comments1 hit · 2 pts
SeverityFileLineSnippetContext
LOW⚡finrl/meta/data_processors/processor_alpaca.py158 tmp_df.iloc[0] = [first_valid_price] * 4 + [0.0] # Set volume to zeroCODE
Modern Structural Boilerplate1 hit · 1 pts
SeverityFileLineSnippetContext
LOWfinrl/agents/fasttd3/__init__.py5__all__ = ["FastTD3"]CODE