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MSFT

MICROSOFT CORPSeasonality Algorithms and Portfolio Optimization

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+4.52%

BEST HISTORICAL MONTH

January

Average win rate of 63% over the last 40 years. Strong historical bullish trend in this period.

-1.48%

WORST HISTORICAL MONTH

February

Negative average return with a win rate of 38% over 40 years. Historically characterized by weakness.

88/100

QUANTITATIVE ANALYSIS

Robusta

Statistical validation completed with high confidence. Profitability and robustness tested over 12-month out-of-sample windows.

The Limit of Monthly Reports: Did you know you can do better?

The historical aggregate tables below show overall monthly performance. However, markets do not move in 30-day blocks. Entering and exiting on specific days of the same month (e.g. from day 12 to day 24) can significantly increase returns and reduce drawdowns.

Discover exact daily precision with seasonality windows inside the Horaizon app.

Monthly Seasonality Table

Historical data based on a horizon of up to 15 years of trading.

MONTHWIN RATEAVG RETURNPROFIT FACTORTOTAL RETURNYEARS
January
63%+4.52%2.80+180.85%40
February
38%-1.48%0.55-59.21%40
March
55%+2.62%2.24+104.95%40
April
63%+3.17%2.04+126.76%40
May
63%+1.92%1.96+76.90%40
June
57%+2.10%1.71+83.93%40
July
55%+0.15%1.05+5.94%40
August
65%+1.59%1.68+63.41%40
September
64%+1.21%1.61+47.20%39
October
64%+3.79%2.63+147.78%39
November
64%+1.21%1.49+47.03%39
December
65%+1.30%1.58+51.93%40

Why Choose the Horaizon Platform?

Quant Seasonality Engine

Instantly scan thousands of assets including Stocks, ETFs, Commodities, and Crypto to find the most stable seasonal configurations.

Walk-Forward (WFA) Validation

Validate your strategy on real out-of-sample data. Avoid overfitting errors and ensure seasonality works in the future.

Automatic Optimization

Combine individual assets into diversified portfolios. Our algorithm optimizes weights to reduce overall volatility and drawdowns.

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Expand Your Knowledge

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