Finance datasets

Banking transactions, loan data, market analysis

248 ready-made datasets
8 formats, Excel to Parquet
First download free

What the 248 cover1 square = 1 dataset

Payments & messaging101
Credit & lending44
Banking & transactions36
Fraud & AML31
Markets & investing18
Expenses & invoicing13
Everything else5

Grouped by dataset title and tags.

Showing all 24 on this page

Markets & investing

Real-Time Market Price Feeds

Real-time snapshots of financial instrument prices, volumes

This dataset provides granular, real-time snapshots of financial instrument prices, volumes, and bid/ask spreads across global markets. Each record includes detailed pricing, volume, and market context, making it ideal for quantitative trading strategies, AI-driven forecasting, and market microstructure analysis. The data is structured for high-frequency, low-latency applications and supports robust financial analytics.

18 cols

market
last_price
bid_price
ask_price
+14

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market: NASDAQ
last_price: 186.12
bid_price: 186.07

Markets & investing

Financial Portfolio Risk Metrics

Volatility, risk scores, drawdowns

This dataset provides detailed, simulated and real portfolio-level risk metrics, including volatility, risk scores, drawdowns, and asset class allocations for asset managers and fintech teams. It supports robust risk analysis, performance benchmarking, and scenario modeling, making it ideal for financial analytics, compliance reporting, and investment strategy development.

18 cols

portfolio_name
risk_score
value_at_risk_95
total_assets_usd
+14

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portfolio_name: US Conservative Bond Income
risk_score: 22.5
value_at_risk_95: 0.8

Payments & messaging

Synthetic Bank Loan Repayment Patterns

Bank loan origination, repayment, default, and prepayment patterns

This dataset provides detailed, anonymized records of bank loan origination, repayment, default, and prepayment patterns, enriched with borrower demographic and employment information. It is ideal for developing and validating credit scoring models, analyzing risk factors, and exploring repayment behaviors across diverse borrower segments. The data structure supports advanced analytics and machine learning applications in financial risk management.

30 cols

loan_amount
loan_term_months
loan_purpose
repayment_status
+26

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loan_amount: 9500
loan_term_months: 36
loan_purpose: debt_consolidation

Payments & messaging

Peer-to-Peer Payment Patterns

Sender and receiver information, transaction amounts, statuses

This dataset provides detailed, synthetic records of peer-to-peer payment transactions, including sender and receiver information, transaction amounts, statuses, device types, and fraud indicators. It is ideal for analyzing user payment behaviors, developing risk models, and designing fintech products, offering a robust foundation for segmentation and predictive analytics.

16 cols

payment_method
transaction_datetime
amount
currency
+12

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payment_method: debit_card
amount: 153.75
currency: USD

Payments & messaging

Cross-Border Payment Transactions

Sender and recipient information, transaction amounts, currencies

This dataset provides detailed, simulated records of international payment transactions, including sender and recipient information, transaction amounts, currencies, risk scores, and AML/fraud flagging. It is ideal for developing, testing, and benchmarking anti-money laundering, fraud detection, and risk assessment models in cross-border financial environments.

23 cols

transaction_datetime
payment_method
transaction_status
is_cross_border
+19

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payment_method: swift
transaction_status: completed
is_cross_border: true

Expenses & invoicingTop 10 most opened

Personal Finance Budgeting Records

Transaction categories, payment methods, recurrence patterns

This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.

18 cols

record_type
category
subcategory
amount
+14

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record_type: income
category: salary
amount: 4200

Credit & lending

Credit Approval Decision Workflow

Applicant demographics, application details, decision outcomes

This dataset provides detailed records of credit and loan applications, including applicant demographics, application details, decision outcomes, and annotated decision logic trails. It is designed to enable research in fairness, bias detection, and explainable AI by capturing both the reasoning behind decisions and any subsequent appeals. The dataset is ideal for developing and evaluating transparent, equitable credit decision systems.

28 cols

applicant_credit_score
decision_datetime
decision_outcome
decision_reason_codes
+24

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applicant_credit_score: 660
decision_outcome: approved
decision_reason_codes: sufficient_income,good_credit

Banking & transactions

Financial Transaction Network Graphs

Network of financial transactions, detailing entities, transaction flows

This dataset provides a comprehensive synthetic network of financial transactions, detailing entities, transaction flows, and inter-entity relationships for advanced anti-fraud and network analytics. With labeled fraud instances and relationship metadata, it enables the development and benchmarking of anomaly detection, graph learning, and risk assessment models in financial contexts.

17 cols

transaction_datetime
transaction_amount
transaction_currency
transaction_type
+13

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transaction_amount: 457.83
transaction_currency: USD
transaction_type: deposit

Fraud & AML

Financial Statement Fraud Indicators

Financial statement records for public and private companies

This dataset simulates detailed financial statement records for public and private companies, enriched with fraud risk indicators and audit outcomes. It is designed for developing and benchmarking machine learning models to detect financial statement fraud, with comprehensive fields for financial metrics, suspicious activity counts, and risk scoring. The dataset is ideal for forensic analysis, risk assessment, and audit research in the finance industry.

27 cols

fraud_risk_score
fraud_flag
statement_date
company_name
+23

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fraud_risk_score: 0.06
fraud_flag: false
company_name: Horizon Retail Ltd.

Banking & transactions

Retail Banking Transaction Sequences

Transaction types, amounts, merchant categories, account details

This dataset provides detailed, chronological transaction records for retail banking customers, including transaction types, amounts, merchant categories, account details, and geolocation data. Designed for advanced analytics, it enables modeling of spending patterns, customer segmentation, and risk assessment for financial institutions. The comprehensive structure supports both behavioral analysis and operational monitoring.

18 cols

transaction_datetime
transaction_amount
transaction_type
balance_after_transaction
+14

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transaction_amount: -75.32
transaction_type: debit
balance_after_transaction: 1356.44

Markets & investing

Cryptocurrency Price Movement Simulation

High-resolution, synthetic minute-by-minute OHLC price

This dataset provides high-resolution, synthetic minute-by-minute OHLC price and trading volume data for multiple cryptocurrencies across various simulated exchanges and trading pairs. It is ideal for developing, testing, and benchmarking algorithmic trading strategies, as well as for financial modeling and market microstructure research. The dataset's structure supports robust time-series analysis and cross-market comparisons.

13 cols

open_price
high_price
low_price
close_price
+9

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open_price: 58722.15
high_price: 58810.42
low_price: 58633.33

Fraud & AML

Financial Transaction Fraud Scenarios

Account, customer, merchant, and contextual data

This dataset provides detailed, labeled records of simulated financial transactions, including account, customer, merchant, and contextual data, with explicit fraud indicators and scenario types. It enables robust development, benchmarking, and evaluation of fraud detection models for banking and fintech applications, supporting both supervised and unsupervised analytics.

22 cols

transaction_datetime
transaction_amount
transaction_type
is_fraud
+18

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transaction_amount: 125.64
transaction_type: purchase
is_fraud: false

Markets & investing

Financial News Sentiment Streams

Aggregates real-time sentiment scores

This dataset aggregates real-time sentiment scores and metadata for financial news headlines, enabling rapid detection of market-moving events and trends. It includes headline text, publication details, sentiment analysis, relevance to financial markets, and links to affected stocks and sectors. Ideal for quantitative trading, risk monitoring, and financial news analytics.

13 cols

sentiment_score
sentiment_label
headline_text
published_datetime
+9

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sentiment_score: 0.94
sentiment_label: positive
source_name: Reuters

Payments & messaging

Microloan Repayment Behavior Sequences

Payment timing, amounts, and loan outcomes

This dataset provides detailed microloan repayment behavior sequences, including payment timing, amounts, and loan outcomes, linked to customer demographics and loan characteristics. It is designed to support credit risk modeling, repayment pattern analysis, and the development of responsible lending strategies for fintech providers. The flat structure enables easy integration with analytics platforms and machine learning workflows.

27 cols

repayment_schedule_type
scheduled_repayment_count
actual_repayment_count
repayment_sequence
+23

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repayment_schedule_type: weekly
scheduled_repayment_count: 4
actual_repayment_count: 4

Banking & transactions

Digital Wallet Activity Sequences

Monetary transactions and non-monetary actions

This dataset provides detailed, event-level records of digital wallet user activities, including monetary transactions and non-monetary actions, with rich contextual information such as device, location, channel, and session sequence. It enables comprehensive analysis of user behavioral patterns, session flows, and transaction outcomes for engagement optimization and fraud detection. The dataset is ideal for building predictive models, anomaly detection systems, and user segmentation strategies in digital finance.

18 cols

activity_type
sequence_order
amount
currency
+14

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activity_type: login
sequence_order: 1
device_type: mobile

Markets & investing

Cryptocurrency Price Movement Sequences

Time-ordered sequences of price

This dataset provides detailed, time-ordered sequences of price and volume movements for major cryptocurrencies across leading exchanges. Each record includes summary statistics, granular price/volume points, and contextual metadata, making it ideal for quantitative research, algorithmic trading, and anomaly detection in crypto markets.

19 cols

crypto_symbol
crypto_name
sequence_start_time
sequence_end_time
+15

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crypto_symbol: BTC
crypto_name: Bitcoin
price_open: 30715.44

Credit & lending

Online Loan Application Funnels

Timestamps, device and location data, step statuses, and error information

This dataset provides detailed, step-level tracking of user journeys through online loan application funnels, including timestamps, device and location data, step statuses, and error information. It enables in-depth analysis of user behavior, identification of process bottlenecks, and optimization of digital lending conversion rates. Ideal for financial institutions seeking to improve their digital onboarding and loan origination processes.

20 cols

funnel_step
loan_amount_requested
loan_purpose
step_status
+16

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funnel_step: start
loan_amount_requested: 25000
loan_purpose: personal

Fraud & AML

Real-Time Fraudulent Transaction Alerts

Real-time records of suspicious financial transactions flagged for potential fraud in

This dataset provides comprehensive, real-time records of suspicious financial transactions flagged for potential fraud in digital banking platforms. It includes detailed transaction data, risk scores, fraud patterns, investigation outcomes, and contextual information such as device, channel, and location. Ideal for developing and benchmarking fraud detection models, auditing risk management processes, and supporting regulatory compliance.

22 cols

transaction_datetime
alert_datetime
transaction_amount
transaction_currency
+18

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transaction_amount: 87.54
transaction_currency: USD
transaction_type: purchase

Credit & lending

Credit Card Application Decisions

Applicant demographics, financial profiles, application outcomes

This dataset contains detailed synthetic records of credit card applications, including applicant demographics, financial profiles, application outcomes, and risk assessments. It is ideal for validating credit scoring models, detecting bias, and supporting regulatory compliance or fairness analysis in financial services. The flat schema design enables seamless integration with analytics and machine learning workflows.

29 cols

application_status
credit_limit_requested
credit_limit_granted
credit_score
+25

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application_status: approved
credit_limit_requested: 12000
credit_limit_granted: 10000

Credit & lending

Consumer Lending Application Workflow

Applicant demographics, application status changes, review

This dataset provides detailed, step-by-step workflow traces for consumer lending applications, including applicant demographics, application status changes, review and underwriting timelines, and funding outcomes. It enables comprehensive analysis of lending process efficiency, bottlenecks, and applicant characteristics for process optimization and risk assessment.

27 cols

application_created_datetime
application_channel
applicant_income
applicant_employment_status
+23

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application_channel: online
applicant_income: 67000
applicant_employment_status: employed

Markets & investing

Financial Portfolio Holdings History

Detailed transactions, valuations, risk metrics, and attribution factors

This dataset provides a comprehensive time series record of synthetic investment portfolio holdings, including detailed transactions, valuations, risk metrics, and attribution factors. It is ideal for portfolio analytics, risk modeling, and performance attribution studies, enabling in-depth analysis of investment strategies and exposures over time.

21 cols

portfolio_name
instrument_type
instrument_name
currency
+17

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portfolio_name: Global Equity Growth
instrument_type: equity
instrument_name: Apple Inc.

Credit & lending

Loan Application Document Checklist

Status, verification, and compliance notes

This dataset offers a detailed, structured checklist of required and submitted documents for each loan application, including status, verification, and compliance notes. It enables financial institutions to automate workflow, ensure regulatory compliance, and streamline the loan approval process with full auditability. Ideal for compliance teams, workflow automation, and analytics on loan processing efficiency.

14 cols

document_name
document_type
document_expiry_date
is_required
+10

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document_name: Government Issued ID
document_type: identification
is_required: true

Banking & transactions

Banking Transaction Sequence Patterns

Transaction types, amounts, channels, geolocation, and fraud indicators

This dataset provides detailed, synthetic banking transaction records across customer accounts, including transaction types, amounts, channels, geolocation, and fraud indicators. Designed for advanced sequence modeling, fraud detection, and behavioral segmentation, it enables deep analysis of financial activity patterns and risk assessment. The rich set of attributes supports both supervised and unsupervised machine learning applications in financial analytics.

17 cols

transaction_datetime
transaction_type
transaction_amount
balance_after_transaction
+13

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transaction_type: deposit
transaction_amount: 2450
balance_after_transaction: 12450

Credit & lending

Loan Default Prediction Records

Loan applications, borrower demographics, payment histories

This dataset provides detailed records of loan applications, borrower demographics, payment histories, and default outcomes, enabling comprehensive credit risk analysis and predictive modeling. It includes key features such as loan terms, payment behavior, applicant financials, and default indicators, making it highly valuable for developing credit scoring systems and risk management tools.

29 cols

loan_amount
loan_term_months
loan_purpose
current_loan_status
+25

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loan_amount: 18750
loan_term_months: 36
loan_purpose: personal

Real codes. Never real customers.

Code systems found in the sample rows of all 248 finance datasets.

Code systemDatasets using it, of 248

ISO 4217currencies161USD · GBP · EUR
ISO 3166countries144US · USA · FR
SWIFT BICbank identifiers45DEUTDEFFXXX · BOFAUS3N · NWBKGB2L
MCCmerchant categories115814 · 5411 · 5812
IBANaccount numbers7DE89370400440532013000 · IT60X0542811101000000123456 · DE23100100101234567893
SWIFT MTmessage types6MT103 · MT900 · MT202
ISINsecurities4GB00B03MLX29 · DE000BASF111 · FR0000123456
ISO 20022payment messages3ACCP · pacs.008

A person from the Identity Theft Cases datasetGenerated

victim_first_name: Jessica
victim_last_name: Mendoza
victim_date_of_birth: 1988-03-25
victim_gender: female

Generated

Most common columnsDatasets, of 248

currency99
transaction_id62
customer_id53
transaction_type49
transaction_amount41

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

Your sentence

Online fraud 4×
Real merchant category codes
Duplicate rows

Preview 20 rows freeNo signup. No card.

Fraud rate by channel

Sample rows for: Card payments from 5,000 customers, where online payments are 4× more likely to be fraud, with real merchant category codes and a few duplicate rows.
channel	mcc	amount	is_fraud
Online	5411	84.20	1
Chip	5812	23.50	0
Online	5999	412.00	1
Online	5999	412.00	1

A pattern you asked for Everything else

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