Comprehensive financial calculations including future value, present value, discount/markup pricing, compound interest, and comparative tables.
# Future Value
python3 scripts/calculate.py fv 10000 0.05 10 12
# PV=$10,000, Rate=5%, Years=10, Monthly compounding
# Present Value
python3 scripts/calculate.py pv 20000 0.05 10 12
# FV=$20,000, Rate=5%, Years=10, Monthly compounding
# Discount
python3 scripts/calculate.py discount 100 20
# Price=$100, Discount=20%
# Markup
python3 scripts/calculate.py markup 100 30
# Cost=$100, Markup=30%
# Future Value Table
python3 scripts/calculate.py fv_table 10000 0.03 0.05 0.07 --periods 1 5 10 20
# Principal=$10,000, Rates=3%,5%,7%, Periods=1,5,10,20 years
# Discount Table
python3 scripts/calculate.py discount_table 100 10 15 20 25 30
# Price=$100, Discounts=10%,15%,20%,25%,30%
Launch the interactive calculator:
./scripts/launch_ui.sh [port]
# Default port: 5050
# Opens at: http://localhost:5050
# Auto-creates venv and installs Flask if needed
Or manually:
cd skills/financial-calculator
python3 -m venv venv # First time only
venv/bin/pip install flask # First time only
venv/bin/python scripts/web_ui.py [port]
Features:
Calculate what an investment will be worth in the future with compound interest.
Use cases:
Inputs:
Calculate the current value of a future amount (discounted value).
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Inputs:
Calculate final price after applying percentage discount.
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Inputs:
Outputs:
Calculate selling price from cost and markup percentage.
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Inputs:
Outputs:
Detailed breakdown of compound interest calculations.
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Outputs:
Generate comparison table across multiple rates and time periods.
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Features:
Compare multiple discount percentages for the same price.
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Features:
Requires Python 3.7+ and Flask:
pip install flask
Or with venv:
python3 -m venv venv
source venv/bin/activate
pip install flask
Import the calculation module:
from calculate import (
future_value,
present_value,
discount_amount,
markup_price,
compound_interest,
generate_fv_table,
generate_discount_table
)
# Calculate FV
fv = future_value(
present_value=10000,
rate=0.05, # 5% as decimal
periods=10,
compound_frequency=12 # Monthly
)
# Generate table
table = generate_fv_table(
principal=10000,
rates=[0.03, 0.05, 0.07], # As decimals
periods=[1, 5, 10, 20]
)
See references/formulas.md for detailed mathematical formulas, examples, and use cases for all calculations.
Rate Format:
Compounding Frequencies:
Table Generation:
Best practices for meaningful comparisons:
Performance:
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