| --- |
| pretty_name: Stocks Weekly CFPB Complaints |
| language: |
| - en |
| license: other |
| task_categories: |
| - time-series-forecasting |
| - tabular-regression |
| tags: |
| - finance |
| - quantitative-trading |
| - backtesting |
| - algorithmic-trading |
| - stocks |
| - equities |
| - weekly |
| size_categories: |
| - 1M<n<10M |
| extra_gated_prompt: "This dataset is free to browse and gated for download. Approval is tied to a Papers With Backtest subscription, which also covers the other datasets in this organisation and the strategy catalogue at https://paperswithbacktest.com. Plans and what each one includes: https://paperswithbacktest.com/pricing" |
| dataset_info: |
| features: |
| - name: symbol |
| dtype: string |
| - name: datetime |
| dtype: string |
| - name: company |
| dtype: string |
| - name: bloomberg_share_id |
| dtype: string |
| - name: culpability_score |
| dtype: float64 |
| - name: complaint_score |
| dtype: float64 |
| - name: grievance_score |
| dtype: float64 |
| - name: total_risk_rating |
| dtype: float64 |
| - name: product |
| dtype: string |
| - name: sub_product |
| dtype: string |
| - name: issue |
| dtype: string |
| - name: sub_issue |
| dtype: string |
| - name: consumer_complaint_narrative |
| dtype: string |
| - name: company_public_response |
| dtype: string |
| - name: state |
| dtype: string |
| - name: zip_code |
| dtype: string |
| - name: tags |
| dtype: string |
| - name: consumer_consent_provided |
| dtype: string |
| - name: submitted_via |
| dtype: string |
| - name: date_sent_to_company |
| dtype: string |
| - name: company_response_to_consumer |
| dtype: string |
| - name: timely_response |
| dtype: string |
| - name: consumer_disputed |
| dtype: string |
| - name: selected_name |
| dtype: string |
| - name: similarity |
| dtype: float64 |
| splits: |
| - name: train |
| num_examples: 1730498 |
| --- |
| |
| # Stocks Weekly CFPB Complaints |
|
|
| Weekly mapping of CFPB consumer complaints to listed companies with risk scores and metadata. |
|
|
| **1,730,498 rows** over 1,283 symbols, 25 columns, covering **2011-12-01 to 2026-04-10**. The most recent observation is 2026-04-10. |
|
|
| ## Why It Matters |
|
|
| This dataset introduces consumer-complaint signals into financial equity models by: |
|
|
| - **Reputational risk:** Rising complaint intensity can foreshadow regulatory actions and spread widening for financial issuers. |
| - **Event detection:** Weekly cadence captures fresh issues that may not yet be reflected in prices. |
| - **Alternative sentiment:** Complaint narratives add a consumer-sentiment layer beyond traditional news feeds. |
|
|
| ## Load It |
|
|
| **Installation/Upgrade:** |
|
|
| ```bash |
| pip install --upgrade pwb-toolbox |
| ``` |
|
|
| **Load the Dataset:** |
|
|
| ```python |
| from pwb_toolbox import datasets as pwb_ds |
| |
| df = pwb_ds.load_dataset("Stocks-Weekly-CFPBComplaints", symbols=["EFX"]) |
| print(df.iloc[0, :]) |
| ``` |
|
|
| **Example Output:** |
|
|
| ``` |
| symbol EFX |
| datetime 2025-11-15 00:00:00 |
| company equifax, inc. |
| bloomberg_share_id BBG001SXXC92 |
| culpability_score 0.157216 |
| complaint_score 0.02616 |
| grievance_score 0.054874 |
| total_risk_rating 0.079417 |
| product Credit reporting or other personal consumer re... |
| sub_product Credit reporting |
| issue Incorrect information on your report |
| sub_issue Information belongs to someone else |
| consumer_complaint_narrative None |
| company_public_response None |
| state CA |
| zip_code 94579 |
| tags None |
| consumer_consent_provided None |
| submitted_via Web |
| date_sent_to_company 2025-11-15 |
| company_response_to_consumer In progress |
| timely_response Yes |
| consumer_disputed None |
| selected_name equifax, inc. |
| similarity 1.0 |
| ``` |
|
|
| ## Columns |
|
|
| | Column Name | Description | |
| | :--- | :--- | |
| | **symbol** | Stock ticker linked to the complaint. | |
| | **datetime** | Week-ending snapshot date (YYYY-MM-DD). | |
| | **company** | Reported company name in the complaint. | |
| | **bloomberg_share_id** | Bloomberg share identifier for the matched company. | |
| | **culpability_score** | Model score estimating company culpability. | |
| | **complaint_score** | Model score reflecting complaint severity. | |
| | **grievance_score** | Model score capturing grievance intensity. | |
| | **total_risk_rating** | Aggregated risk rating from complaint signals. | |
| | **product** | Product category mentioned in the complaint. | |
| | **sub_product** | Sub-product category for the complaint. | |
| | **issue** | Primary issue raised. | |
| | **sub_issue** | Detailed sub-issue for the complaint. | |
| | **consumer_complaint_narrative** | Narrative text describing the complaint. | |
| | **company_public_response** | Company's public response text, if available. | |
| | **state** | U.S. state of the complainant. | |
| | **zip_code** | ZIP code of the complainant. | |
| | **tags** | Tags applied to the complaint. | |
| | **consumer_consent_provided** | Consent flag for sharing the complaint narrative. | |
| | **submitted_via** | Channel through which the complaint was submitted. | |
| | **date_sent_to_company** | Date the complaint was sent to the company. | |
| | **company_response_to_consumer** | Company's response classification. | |
| | **timely_response** | Indicates whether the response was timely. | |
| | **consumer_disputed** | Whether the consumer disputed the resolution. | |
| | **selected_name** | Matched entity name used to link the complaint to the symbol. | |
| | **similarity** | Matching similarity score. | |
|
|
| ## Access |
|
|
| Browsing the card and the schema is open to anyone. Downloading the files needs an approved request, tied to a subscription: [what each plan includes](https://paperswithbacktest.com/pricing). The same subscription covers the other datasets in this organisation. |
|
|
| ## Elsewhere |
|
|
| - [Dataset page and coverage charts](https://paperswithbacktest.com/datasets/stocks-weekly-cfpbcomplaints) |
| - [The strategy catalogue](https://paperswithbacktest.com/strategies), 3,806 papers and 4,837 replicated strategies |
| - [`pwb-toolbox`](https://github.com/paperswithbacktest/pwb-toolbox), the loader used in the snippet above |
| - [`awesome-systematic-trading`](https://github.com/paperswithbacktest/awesome-systematic-trading), the replicated strategies with their measured Sharpe |
| - [Every dataset in this organisation](https://huggingface.co/datasets/paperswithbacktest) |
|
|
| Papers With Backtest publishes 32 datasets on the Hub and codes the papers that use them. Every strategy in the catalogue is run over its own full history before it is published, which is where the numbers above come from. |
|
|
