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new scripts parse edenred account movements and parse r4 movements

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This commit is contained in:
Roger Oriol
2025-10-11 16:44:53 +02:00
parent 77f3a31b02
commit 6a1c57862a
4 changed files with 842 additions and 5 deletions
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47
commands/parse-caixabank-account-movements
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@@ -302,6 +302,48 @@ def save_statements(
print(f"Saved statements to {output_file}")
def filter_markdown_by_date(markdown_report: str, from_date: str) -> str:
"""
Filter markdown table to only include rows with dates >= from_date.
"""
import re
from datetime import datetime
if not from_date:
return markdown_report
try:
filter_date = datetime.strptime(from_date, "%Y-%m-%d")
except ValueError:
print(f"Warning: Invalid date format '{from_date}'. Expected YYYY-MM-DD. Ignoring filter.")
return markdown_report
lines = markdown_report.split('\n')
filtered_lines = []
for line in lines:
if '|' not in line:
filtered_lines.append(line)
continue
parts = line.split('|')
if len(parts) < 7:
filtered_lines.append(line)
continue
fecha_col = parts[1].strip()
date_match = re.search(r'(\d{4})-(\d{2})-(\d{2})', fecha_col)
if date_match:
line_date = datetime.strptime(f"{date_match.group(1)}-{date_match.group(2)}-{date_match.group(3)}", "%Y-%m-%d")
if line_date >= filter_date:
filtered_lines.append(line)
else:
filtered_lines.append(line)
return '\n'.join(filtered_lines)
def convert_file_to_markdown(path: str):
converter = DocumentConverter()
result = converter.convert(path)
@@ -312,12 +354,17 @@ async def main():
parser = argparse.ArgumentParser(
description="Parse R4 report from XLSX format")
parser.add_argument("source", help="Path to the input XLSX file")
parser.add_argument("--from", dest="from_date", help="Filter transactions from this date (YYYY-MM-DD)")
args = parser.parse_args()
if not args.source.endswith(".xlsx"):
parser.error("Input file must have .xlsx format")
markdown_report = convert_file_to_markdown(args.source)
if args.from_date:
markdown_report = filter_markdown_by_date(markdown_report, args.from_date)
beancount_statements = await get_beancount_price_statements(
markdown_report
)

343
commands/parse-edenred-account-movements Executable file
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@@ -0,0 +1,343 @@
#!/usr/bin/env python3
import os
import argparse
import asyncio
import re
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
from docling.document_converter import DocumentConverter
GET_BEANCOUNT_STATEMENTS_PROMPT = """# System Prompt: Edenred Transactions to Beancount Parser
You are a specialized financial transaction parser that converts Edenred account movements into Beancount format.
## Input Format
You will receive a table with the following columns:
- **Fecha**: Transaction date
- **Detalle movimiento**: Transaction description
- **Importe**: Amount (always negative for expenses)
You will also receive the source account to use for all transactions.
Example input:
```
| Producto: | Ticket Restaurant |
| Fecha | Detalle movimiento | Importe |
2025-10-09 00:00:00 | MCDONALD'S BARCELONA | 12,50
```
## Output Format
Convert each transaction into a Beancount entry with this structure:
```
YYYY-MM-DD * "Payee" "Description"
ExpenseAccount AMOUNT EUR
SourceAccount
```
### Rules for Conversion
1. **Date**: Use the "Fecha" field in YYYY-MM-DD format
2. **Flag**: Always use `*` (cleared transaction)
3. **Payee**: Extract the main payee name from the "Detalle movimiento" field (first recognizable entity/merchant name)
4. **Description**: Use the full "Detalle movimiento" text as the description
5. **Amount**: Use the absolute value of "Importe" (remove the negative sign)
6. **Currency**: Always use EUR
7. **Source Account**: Use the provided source account as the second posting (the account is automatically debited)
### Expense Account Classification
Analyze each transaction and classify it into the most appropriate account based on:
- The payee/merchant name
- The transaction description
- Common spending patterns
**Available Expense Accounts:**
Expenses:Supermercat
Expenses:MenjarFora
Expenses:Mobilitat
Expenses:Parking
Expenses:Gasolina
Expenses:Altres
### Guidelines
- Restaurants, cafes, food delivery: `Expenses:MenjarFora`
- Supermarkets, grocery stores: `Expenses:Supermercat`
- Public transport, taxi, ride-sharing: `Expenses:Mobilitat`
- Parking: `Expenses:Parking`
- Gas stations: `Expenses:Gasolina`
- Other/unknown: `Expenses:Altres`
## Example
**Input:**
```
Source Account: Assets:Benefits:Edenred:TicketsRestaurant
2025-10-09 00:00:00 | MCDONALD'S BARCELONA | 12,50
```
**Output:**
```
2025-10-09 * "MCDONALD'S" "MCDONALD'S BARCELONA"
Expenses:MenjarFora 12.50 EUR
Assets:Benefits:Edenred:TicketsRestaurant
```
## Output Requirements
- Process all transactions in the input table
- Maintain chronological order
- Ensure proper indentation (2 spaces for posting lines)
- Be consistent with account naming conventions
- Only output Beancount code, explanations are not needed.
## Your Task
Parse the provided account movements data tables and generate the corresponding Beancount statements. Output only the Beancount code.
"""
async def get_beancount_statements(markdown_report: str, source_account: str) -> str:
options = ClaudeAgentOptions(
system_prompt=GET_BEANCOUNT_STATEMENTS_PROMPT,
cwd=os.getcwd()
)
result = None
async for message in query(
prompt=f"Convert this Edenred account movements table to beancount statements.\n\n"
f"Source Account: {source_account}\n\n{markdown_report}",
options=options
):
if isinstance(message, ResultMessage) and message.subtype == "success":
result = message.result
else:
print(message)
if result is not None and isinstance(result, str):
return result
else:
raise ValueError(
"Unable to get Beancount statements from the report!")
def parse_response(beancount_statements: str):
"""
The input beancount statements might be inside a markdown beancount
code block or in plain text.
"""
code_block_pattern = r'```(?:beancount)?\n(.*?)```'
match = re.search(code_block_pattern, beancount_statements, re.DOTALL)
if match:
content = match.group(1)
else:
content = beancount_statements
return content
def extract_product_type(markdown_report: str) -> str:
"""
Extract the Producto field to determine which account to use.
Returns the appropriate Beancount account.
"""
lines = markdown_report.split('\n')
for line in lines:
if 'Producto:' in line or 'producto:' in line.lower():
if 'Ticket Restaurant' in line:
return 'Assets:Benefits:Edenred:TicketsRestaurant'
elif 'Edenred Movilidad' in line or 'Movilidad' in line:
return 'Assets:Benefits:Edenred:TargetaTransport'
print("Warning: Could not determine product type. Defaulting to TicketsRestaurant")
return 'Assets:Benefits:Edenred:TicketsRestaurant'
def extract_balance_and_last_date(markdown_report: str) -> tuple[str, str]:
"""
Extract the balance from the Saldo field and the date of the last transaction.
Returns (last_date, balance) tuple.
"""
lines = markdown_report.split('\n')
balance = ""
last_date = ""
for line in lines:
if '|' not in line:
continue
parts = line.split('|')
if len(parts) >= 3 and 'Saldo:' in parts[1]:
balance_str = parts[2].strip()
balance = balance_str.replace(',', '.').replace(' ', '')
if len(parts) >= 2:
fecha_col = parts[1].strip()
date_match = re.search(r'(\d{4})-(\d{2})-(\d{2})', fecha_col)
if date_match:
current_date = f"{date_match.group(1)}-{date_match.group(2)}-{date_match.group(3)}"
if not last_date or current_date > last_date:
last_date = current_date
return last_date, balance
def save_statements(beancount_statements: str, last_date: str, balance: str, source_account: str):
"""
The statements are saved in beancount files in
ledger/transactions/YYYY/MM.beancount.
Statements are sorted chronologically and split by month if they
span multiple months.
A balance assertion is added at the end of the last month's file.
"""
from pathlib import Path
from collections import defaultdict
if not beancount_statements.strip():
print("Warning: No valid statements to save")
return
lines = beancount_statements.strip().split('\n')
transactions = []
current_transaction = []
for line in lines:
if re.match(r'^\d{4}-\d{2}-\d{2}', line):
if current_transaction:
transactions.append('\n'.join(current_transaction))
current_transaction = [line]
elif current_transaction:
current_transaction.append(line)
if current_transaction:
transactions.append('\n'.join(current_transaction))
transactions.sort(key=lambda t: re.match(
r'^(\d{4}-\d{2}-\d{2})', t).group(1))
transactions_by_month = defaultdict(list)
for transaction in transactions:
date_match = re.match(r'^(\d{4})-(\d{2})-\d{2}', transaction)
if date_match:
year = date_match.group(1)
month = date_match.group(2)
key = (year, month)
transactions_by_month[key].append(transaction)
last_month_key = max(transactions_by_month.keys()) if transactions_by_month else None
for (year, month), month_transactions in sorted(transactions_by_month.items()):
output_dir = Path(f"ledger/transactions/{year}")
output_dir.mkdir(parents=True, exist_ok=True)
output_file = output_dir / f"{month}.beancount"
existing_content = ""
if output_file.exists():
with open(output_file, 'r') as f:
existing_content = f.read()
with open(output_file, 'w') as f:
if existing_content:
f.write(existing_content)
if not existing_content.endswith('\n'):
f.write('\n')
f.write('\n'.join(month_transactions))
f.write('\n')
if (year, month) == last_month_key and last_date and balance:
f.write(f'\n{last_date} balance {source_account} {balance} EUR\n')
print(f"Saved statements to {output_file}")
def filter_markdown_by_date(markdown_report: str, from_date: str) -> str:
"""
Filter markdown table to only include rows with dates >= from_date.
"""
from datetime import datetime
if not from_date:
return markdown_report
try:
filter_date = datetime.strptime(from_date, "%Y-%m-%d")
except ValueError:
print(f"Warning: Invalid date format '{
from_date}'. Expected YYYY-MM-DD. Ignoring filter.")
return markdown_report
lines = markdown_report.split('\n')
filtered_lines = []
for line in lines:
if '|' not in line:
filtered_lines.append(line)
continue
parts = line.split('|')
if len(parts) < 4:
filtered_lines.append(line)
continue
fecha_col = parts[1].strip()
date_match = re.search(r'(\d{4})-(\d{2})-(\d{2})', fecha_col)
if date_match:
line_date = datetime.strptime(f"{date_match.group(
1)}-{date_match.group(2)}-{date_match.group(3)}", "%Y-%m-%d")
if line_date >= filter_date:
filtered_lines.append(line)
else:
filtered_lines.append(line)
return '\n'.join(filtered_lines)
def convert_file_to_markdown(path: str):
converter = DocumentConverter()
result = converter.convert(path)
return result.document.export_to_markdown()
async def main():
parser = argparse.ArgumentParser(
description="Parse Edenred report from XLSX format")
parser.add_argument("source", help="Path to the input XLSX file")
parser.add_argument("--from", dest="from_date",
help="Filter transactions from this date (YYYY-MM-DD)")
args = parser.parse_args()
if not args.source.endswith(".xlsx"):
parser.error("Input file must have .xlsx format")
markdown_report = convert_file_to_markdown(args.source)
source_account = extract_product_type(markdown_report)
print(f"Detected source account: {source_account}")
last_date, balance = extract_balance_and_last_date(markdown_report)
print(f"Extracted balance: {balance} on date: {last_date}")
if args.from_date:
markdown_report = filter_markdown_by_date(
markdown_report, args.from_date)
beancount_statements = await get_beancount_statements(
markdown_report, source_account
)
print(f"Final result: \n{beancount_statements}")
clean_beancount_statements = parse_response(beancount_statements)
save_statements(clean_beancount_statements, last_date, balance, source_account)
if __name__ == "__main__":
asyncio.run(main())

403
commands/parse-r4-movements Executable file
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@@ -0,0 +1,403 @@
#!/usr/bin/env python3
import os
import argparse
import asyncio
import re
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
from docling.document_converter import DocumentConverter
GET_BEANCOUNT_STATEMENTS_PROMPT = """# System Prompt: R4 Movements to Beancount Parser
You are a specialized financial transaction parser that converts R4 account movements into Beancount format.
## Input Format
You will receive a table with the following columns:
- **FECHA**: Transaction date (DD/MM/YYYY format)
- **CONCEPTO**: Transaction description
- **MOVIMIENTOS**: Amount (negative for expenses/debits, positive for income/credits)
- **SALDO**: Account balance after transaction
Example input:
```
| FECHA | CONCEPTO | MOVIMIENTOS | SALDO |
|------------|----------------------------------------------|-------------|------------|
| 01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -0.16 | -19876.32 |
| 11/10/2025 | TRANSF. RECIBIDA DE ROGER ORIOL PEREZ | 150 | -19971.3 |
```
Warning: The table might be incorrecly parsed and may appear split. For example:
```
| MOVIMIENTOS DEL PERIODO EN EUROS |
|------------------------------------|
| FECHA |
| CONCEPTO | MOVIMIENTOS | SALDO |
|----------------------------------------------|---------------|----------|
| SALDO ANTERIOR | -19876.16 | -19876.2 |
| INTERESES TERCER TRIMESTRE DE 2025 | -0.16 | -19876.3 |
| INTERESES TERCER TRIMESTRE DE 2025 | -175.23 | -20051.5 |
| SALDO FINAL | None | -19971.3 |
| 01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -0.16 | -19876.32 |
|--------------|----------------------------------------------|---------|-------------|
| 01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -175.23 | -20051.5 |
```
You should interpet the previous table like this:
```
| MOVIMIENTOS DEL PERIODO EN EUROS |
|------------------------------------|
| FECHA | CONCEPTO | MOVIMIENTOS | SALDO |
|-------------------------------------------------------------|---------------|----------|
| | SALDO ANTERIOR | -19876.16 | -19876.2 |
| 01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -0.16 | -19876.3 |
| 01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -175.23 | -20051.5 |
| | SALDO FINAL | None | -19971.3 |
```
## Output Format
Convert each transaction into a Beancount entry with this structure:
```
YYYY-MM-DD * "Payee" "Description"
Account1 AMOUNT EUR
Account2
```
### Rules for Conversion
1. **Date**: Convert from DD/MM/YYYY to YYYY-MM-DD format
2. **Flag**: Always use `*` (cleared transaction)
3. **Payee**: Extract the main entity from "CONCEPTO" field
4. **Description**: Use the full "CONCEPTO" text as the description
5. **Amount**: Use the absolute value of "MOVIMIENTOS"
6. **Currency**: Always use EUR
7. **Source Account**: Always use `Liabilities:Credit:Renta4:PolissaCredit` as one of the accounts
### Account Classification
**Available Expense Accounts:**
- Expenses:R4:Comissions
- Expenses:R4:Interessos
**Available Income Accounts:**
- Income:Invest:R4:Dividends
- Income:Invest:R4:CapitalGains
- Income:Invest:R4:CapitalGains:Untaxable
**Available Tax Accounts:**
- Expenses:Taxes:BeneficisDividends
- Expenses:Taxes:BeneficisDividendsOrigen
**Transfer Account:**
- Assets:Liquid:Caixabank:Corrent
### Transaction Type Rules
1. **Commissions** (COMISION): Use `Expenses:R4:Comissions`
2. **Interest** (INTERESES): Use `Expenses:R4:Interessos`
3. **Dividends**: Use `Income:Invest:R4:Dividends`
4. **Capital Gains**: Use `Income:Invest:R4:CapitalGains` or `Income:Invest:R4:CapitalGains:Untaxable`
5. **Dividend Tax**: Use `Expenses:Taxes:BeneficisDividends` or `Expenses:Taxes:BeneficisDividendsOrigen`
6. **IVA**: Use `Expenses:R4:Comissions`
7. **Received Transfer from ROGER ORIOL PEREZ**:
- Credit: `Liabilities:Credit:Renta4:PolissaCredit` with amount
- Debit: `Assets:Liquid:Caixabank:Corrent`
### Special Cases
- For negative amounts in MOVIMIENTOS: debit the expense account, credit `Liabilities:Credit:Renta4:PolissaCredit`
- For positive amounts in MOVIMIENTOS: debit `Liabilities:Credit:Renta4:PolissaCredit`, credit the income account
- For transfers from ROGER ORIOL PEREZ: debit `Liabilities:Credit:Renta4:PolissaCredit`, credit `Assets:Liquid:Caixabank:Corrent`
## Examples
**Input:**
```
01/10/2025 | INTERESES TERCER TRIMESTRE DE 2025 | -0.16 | -19876.32
```
**Output:**
```
2025-10-01 * "R4" "INTERESES TERCER TRIMESTRE DE 2025"
Expenses:R4:Interessos 0.16 EUR
Liabilities:Credit:Renta4:PolissaCredit
```
**Input:**
```
11/10/2025 | TRANSF. RECIBIDA DE ROGER ORIOL PEREZ | 150 | -19971.3
```
**Output:**
```
2025-10-11 * "ROGER ORIOL PEREZ" "TRANSF. RECIBIDA DE ROGER ORIOL PEREZ"
Liabilities:Credit:Renta4:PolissaCredit 150.00 EUR
Assets:Liquid:Caixabank:Corrent
```
## Output Requirements
- Process all transactions in the input table
- Skip rows with "SALDO ANTERIOR" or "SALDO FINAL" in CONCEPTO
- Maintain chronological order
- Ensure proper indentation (2 spaces for posting lines)
- Be consistent with account naming conventions
- Only output Beancount code, explanations are not needed.
## Your Task
Parse the provided R4 movements table and generate the corresponding Beancount statements. Output only the Beancount code.
"""
async def get_beancount_statements(markdown_report: str) -> str:
options = ClaudeAgentOptions(
system_prompt=GET_BEANCOUNT_STATEMENTS_PROMPT,
cwd=os.getcwd()
)
result = None
async for message in query(
prompt=f"Convert this R4 movements table to beancount statements:\n\n{
markdown_report}",
options=options
):
if isinstance(message, ResultMessage) and message.subtype == "success":
result = message.result
else:
print(message)
if result is not None and isinstance(result, str):
return result
else:
raise ValueError(
"Unable to get Beancount statements from the report!")
def parse_response(beancount_statements: str):
"""
The input beancount statements might be inside a markdown beancount
code block or in plain text.
"""
code_block_pattern = r'```(?:beancount)?\n(.*?)```'
match = re.search(code_block_pattern, beancount_statements, re.DOTALL)
if match:
content = match.group(1)
else:
content = beancount_statements
return content
def extract_movements_table(markdown_report: str) -> str:
"""
Extract the MOVIMIENTOS DEL PERIODO EN EUROS table from the markdown.
"""
lines = markdown_report.split('\n')
in_movements_section = False
table_lines = []
for i, line in enumerate(lines):
if 'MOVIMIENTOS DEL PERIODO EN EUROS' in line:
in_movements_section = True
continue
if in_movements_section:
if line.strip() and ('|' in line or line.startswith('FECHA')):
table_lines.append(line)
elif 'RESUMEN DE RESULTADOS' in line:
break
return '\n'.join(table_lines)
def extract_balance_and_last_date(markdown_report: str) -> tuple[str, str]:
"""
Extract the final balance from SALDO FINAL row and the date of the last transaction.
Returns (last_date, balance) tuple.
"""
lines = markdown_report.split('\n')
balance = ""
last_date = ""
for line in lines:
if '|' not in line:
continue
parts = line.split('|')
if len(parts) >= 3 and 'SALDO FINAL' in line:
balance_str = parts[-2].strip()
balance = balance_str.replace(',', '.').replace(' ', '')
if len(parts) >= 2:
fecha_col = parts[1].strip()
date_match = re.search(r'(\d{2})/(\d{2})/(\d{4})', fecha_col)
if date_match:
current_date = f"{date_match.group(
3)}-{date_match.group(2)}-{date_match.group(1)}"
if not last_date or current_date > last_date:
last_date = current_date
return last_date, balance
def save_statements(beancount_statements: str, last_date: str, balance: str):
"""
The statements are saved in beancount files in
ledger/transactions/YYYY/MM.beancount.
Statements are sorted chronologically and split by month if they
span multiple months.
A balance assertion is added at the end of the last month's file.
"""
from pathlib import Path
from collections import defaultdict
if not beancount_statements.strip():
print("Warning: No valid statements to save")
return
lines = beancount_statements.strip().split('\n')
transactions = []
current_transaction = []
for line in lines:
if re.match(r'^\d{4}-\d{2}-\d{2}', line):
if current_transaction:
transactions.append('\n'.join(current_transaction))
current_transaction = [line]
elif current_transaction:
current_transaction.append(line)
if current_transaction:
transactions.append('\n'.join(current_transaction))
transactions.sort(key=lambda t: re.match(
r'^(\d{4}-\d{2}-\d{2})', t).group(1))
transactions_by_month = defaultdict(list)
for transaction in transactions:
date_match = re.match(r'^(\d{4})-(\d{2})-\d{2}', transaction)
if date_match:
year = date_match.group(1)
month = date_match.group(2)
key = (year, month)
transactions_by_month[key].append(transaction)
last_month_key = max(transactions_by_month.keys()
) if transactions_by_month else None
for (year, month), month_transactions in sorted(transactions_by_month.items()):
output_dir = Path(f"ledger/transactions/{year}")
output_dir.mkdir(parents=True, exist_ok=True)
output_file = output_dir / f"{month}.beancount"
existing_content = ""
if output_file.exists():
with open(output_file, 'r') as f:
existing_content = f.read()
with open(output_file, 'w') as f:
if existing_content:
f.write(existing_content)
if not existing_content.endswith('\n'):
f.write('\n')
f.write('\n'.join(month_transactions))
f.write('\n')
if (year, month) == last_month_key and last_date and balance:
f.write(f'\n{last_date} balance Liabilities:Credit:Renta4:PolissaCredit {
balance} EUR\n')
print(f"Saved statements to {output_file}")
def filter_markdown_by_date(markdown_report: str, from_date: str) -> str:
"""
Filter markdown table to only include rows with dates >= from_date.
"""
from datetime import datetime
if not from_date:
return markdown_report
try:
filter_date = datetime.strptime(from_date, "%Y-%m-%d")
except ValueError:
print(f"Warning: Invalid date format '{
from_date}'. Expected YYYY-MM-DD. Ignoring filter.")
return markdown_report
lines = markdown_report.split('\n')
filtered_lines = []
for line in lines:
if '|' not in line:
filtered_lines.append(line)
continue
parts = line.split('|')
if len(parts) < 2:
filtered_lines.append(line)
continue
fecha_col = parts[1].strip()
date_match = re.search(r'(\d{2})/(\d{2})/(\d{4})', fecha_col)
if date_match:
line_date = datetime.strptime(f"{date_match.group(
3)}-{date_match.group(2)}-{date_match.group(1)}", "%Y-%m-%d")
if line_date >= filter_date:
filtered_lines.append(line)
else:
filtered_lines.append(line)
return '\n'.join(filtered_lines)
def convert_file_to_markdown(path: str):
converter = DocumentConverter()
result = converter.convert(path)
return result.document.export_to_markdown()
async def main():
parser = argparse.ArgumentParser(
description="Parse R4 movement statements from XLSX format")
parser.add_argument("source", help="Path to the input XLSX file")
parser.add_argument("--from", dest="from_date",
help="Filter transactions from this date (YYYY-MM-DD)")
args = parser.parse_args()
if not args.source.endswith(".xlsx"):
parser.error("Input file must have .xlsx format")
markdown_report = convert_file_to_markdown(args.source)
movements_table = extract_movements_table(markdown_report)
if not movements_table:
print("Error: Could not find MOVIMIENTOS DEL PERIODO EN EUROS table")
return
last_date, balance = extract_balance_and_last_date(movements_table)
print(f"Extracted balance: {balance} on date: {last_date}")
if args.from_date:
movements_table = filter_markdown_by_date(
movements_table, args.from_date)
beancount_statements = await get_beancount_statements(movements_table)
print(f"Final result: \n{beancount_statements}")
clean_beancount_statements = parse_response(beancount_statements)
save_statements(clean_beancount_statements, last_date, balance)
if __name__ == "__main__":
asyncio.run(main())

54
ledger/transactions/2025/10.beancount
View File

@@ -31,6 +31,12 @@
Assets:Liquid:Caixabank:Corrent 530 EUR
Expenses:Lloguer -530 EUR
Equity:LloguerMiquel 530 EUR
2025-10-01 * "R4" "INTERESES TERCER TRIMESTRE DE 2025"
Expenses:R4:Interessos 0.16 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-01 * "R4" "INTERESES TERCER TRIMESTRE DE 2025"
Expenses:R4:Interessos 175.23 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-02 * "Aigues de Barcelona" "Factura Aigua"
Expenses:FacturesUtilitats 47.95 EUR
Assets:Liquid:Caixabank:Corrent
@@ -49,9 +55,18 @@
2025-10-04 * "Finques Samso" "FINQ.SAMSO S.L Recibo de fincas, alquileres"
Expenses:Lloguer 1146.20 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-04 * "OKASHII OSONA" "OKASHII OSONA - C. DUES SOLES 6, VIC"
Expenses:MenjarFora 49.50 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-06 * "Wellhub" "Wellhub EU"
Expenses:Gimnàs 35.99 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-06 * "365 T173" "365 T173"
Expenses:MenjarFora 2.30 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-07 * "DON ZANGANO" "DON ZANGANO"
Expenses:MenjarFora 5.10 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-07 * "Plus Barcelona" "PLUS BARCELONA -"
Expenses:Supermercat 2.86 EUR
Assets:Liquid:Caixabank:Corrent
@@ -64,18 +79,47 @@
2025-10-07 * "Plus Teodora Lama" "PLUS TEODORA LAMA"
Expenses:Supermercat 24.85 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-07 * "AL PASATORE" "AL PASATORE"
Expenses:MenjarFora 12.50 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-07 * "BLT" "BLT - GV. AUGUSTA BJ 187, BARCELONA"
Expenses:MenjarFora 1.55 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-09 * "Comercializadora Gas Power" "COMERCIALIZADORA GAS POWER11877106871025"
Income:Other:Devolucions -11.96 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-09 * "R4" "COMISION CUSTODIA INTERNACIONAL JUL-SEP 2025"
Expenses:R4:Comissions 18.43 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-09 * "R4" "COMISION CUSTODIA IIC JUL-SEP 2025"
Expenses:R4:Comissions 30.18 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-09 * "R4" "IVA CUSTODIAS JUL-SEP 2025"
Expenses:R4:Comissions 10.21 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-09 * "R4" "COMISION MANTENIMIENTO JUL-SEP 2025"
Expenses:R4:Comissions 9.00 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-09 * "R4" "IVA MANTENIMIENTO JUL-SEP 2025"
Expenses:R4:Comissions 1.89 EUR
Liabilities:Credit:Renta4:PolissaCredit
2025-10-09 * "Nintendo" "Pokemon Legends ZA DLC"
Expenses:Entreteniment 29.99 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-09 * "Nintendo" "Pokemon Legends ZA"
Expenses:Entreteniment 69.99 EUR
Assets:Liquid:Caixabank:Corrent
2025-10-09 * "Aerobus" "Anada i tornada aerobus"
Expenses:Mobilitat 12.85 EUR
Assets:Benefits:Edenred:TargetaTransport
2025-10-09 * "Burger King" "Sopar aeroport"
Expenses:MenjarFora 14.41 EUR
Assets:Benefits:Edenred:TicketsRestaurant
2025-10-11 * "ROGER ORIOL PEREZ" "TRANSF. RECIBIDA DE ROGER ORIOL PEREZ"
Liabilities:Credit:Renta4:PolissaCredit 150.00 EUR
Assets:Liquid:Caixabank:Corrent
2025-11-01 balance Assets:Liquid:Caixabank:Corrent 11739.32 EUR
2025-11-01 balance Assets:Liquid:Caixabank:Corrent 11589.32 EUR
2025-11-01 balance Assets:Liquid:R4:EUR 0 EUR
2025-11-01 balance Assets:Invest:Fund:Vanguard:EMMK 14.99 VANEMMK
2025-11-01 balance Assets:Invest:Fund:Vanguard:GL 755.40 VANGL
@@ -83,8 +127,8 @@
2025-11-01 balance Assets:Invest:ETF:IWVL 430 IWVL
2025-11-01 balance Assets:Invest:Fixed:R4RF 1518.57004 R4RF
2025-11-01 balance Assets:Invest:ETF:XDEQ 264 XDEQ
2025-11-01 balance Assets:Benefits:Edenred:TicketsRestaurant 231.55 EUR
2025-11-01 balance Assets:Benefits:Edenred:TargetaTransport 165.85 EUR
2025-11-01 balance Assets:Benefits:Edenred:TicketsRestaurant 146.19 EUR
2025-11-01 balance Assets:Benefits:Edenred:TargetaTransport 153.00 EUR
2025-11-01 balance Assets:Benefits:DZP:PPEZurich 3833.46 EUR
2025-11-01 balance Assets:PersonalProperty:VivendaPrincipal 0 EUR
2025-11-01 balance Assets:PersonalProperty:Cotxe 10000 EUR
@@ -92,4 +136,4 @@
2025-11-01 balance Assets:PersonalProperty:MetallsPreciosos 0 EUR
2025-11-01 balance Assets:PersonalProperty:AltresPropietats 0 EUR
2025-11-01 balance Liabilities:Credit:Caixabank:TargetaCredit 0 EUR
2025-11-01 balance Liabilities:Credit:Renta4:PolissaCredit -19876.16 EUR
2025-11-01 balance Liabilities:Credit:Renta4:PolissaCredit -19971.26 EUR