Editing Business Cycles (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Economic Pulse' (Identifying the stage of the cycle):'''
<syntaxhighlight lang="python">
def identify_cycle_stage(gdp_trend, unemployment_trend, inflation_trend):
    """
    Classifies the current state of the economy.
    """
    if gdp_trend == "Up" and inflation_trend == "Rising":
        return "STAGE: PEAK (Overheating risk)"
    elif gdp_trend == "Up" and unemployment_trend == "Down":
        return "STAGE: EXPANSION (The Boom)"
    elif gdp_trend == "Down" and unemployment_trend == "Up":
        return "STAGE: RECESSION (The Bust)"
    elif gdp_trend == "Flat" and unemployment_trend == "Very High":
        return "STAGE: TROUGH (The Bottom)"
    return "Unknown"

# Current data: GDP is falling and people are losing jobs.
print(identify_cycle_stage("Down", "Up", "Falling"))
</syntaxhighlight>

; Cycle Landmarks
: '''The 'Dot-Com' Bust (2000)''' → When everyone realized internet companies with no profit were worth $0, causing a global stock market crash.
: '''The 'Roaring Twenties'''' → A massive 10-year expansion that ended in the 1929 stock market crash.
: '''The 'V-Shaped' Recovery''' → A recession that is short and sharp (like the initial COVID-19 crash) followed by an immediate boom.
: '''The 'L-Shaped' Recovery''' → A recession where the economy "Falls" and then just stays flat for years (like Japan's "Lost Decade").
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