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Python

Equal Weight vs Market Cap S&P 500 Performance: A Tie for $10,000, a $128,086 Gap at $500 a Month

November 13, 2026 by Michael
Featured line chart: $500 a month invested from May 2003 to Nov 2026 grew to $764,878 in market-cap SPY vs $636,793 in equal-weight RSP, a $128,086 gap, even though $10,000 lump sums nearly tied

Equal weight vs market cap S&P 500 performance: a $10,000 tie since 2003 ($124,203 vs $126,266) but a $128,086 gap at $500/month. Python inside.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Gold vs S&P 500 Last 20 Years: $10,000 Became $79,224 in Stocks vs $58,437 in Gold (Python)

November 12, 2026 by Michael
Featured line chart: $10,000 invested Nov 2006 grew to $79,224 in the S&P 500 with dividends, $58,437 in gold (GLD) and $54,963 in the S&P 500 price only by Nov 2026

Gold vs S&P 500 last 20 years: $10,000 became $79,224 in SPY with dividends vs $58,437 in gold. Win rates, drawdowns, 80/20 mix + Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Stock Bond Correlation Over Time: 33 Years of SPY vs Treasuries, and Why It’s +0.42 Now (Python)

November 10, 2026 by Michael
Featured line chart of the 36-month rolling correlation between SPY and long-term Treasuries, 1996 to October 2026: negative from 2000 to 2021, positive since 2022, now +0.42

Stock bond correlation over time, 1993-2026: SPY vs Treasuries was -0.29 in 2000-2021, +0.42 now. Inflation link, 60/40 impact + Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Sequence of Returns Risk Example: Same 25 SPY Years, Reversed, and $1M Ends at $119,235 vs $3.77M (Python)

November 9, 2026 by Michael
Featured line chart: $1M in SPY with the 4% rule over the same 25 annual returns (2000-2024). Real order with the crash first ends at $119,235; reversed order ends at $3.77M, a $3.65M gap

Sequence of returns risk example: same 25 SPY years, $1M, 4% rule. Real order ends at $119,235, reversed at $3.77M. Charts, fix + Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Missing the Best Days in the Market: Skip SPY’s 10 Best Days Since 1993 and $313,613 Becomes $136,082 (Python)

November 4, 2026 by Michael
Featured bar chart: $10,000 in SPY from Jan 29, 1993 to Nov 3, 2026 grew to $313,613 invested every day, $187,437 missing the 5 best days, $136,082 missing the 10 best (-57%), $78,634 missing 20, $49,189 missing 30 and $22,024 missing 50

Missing the best days in the market, tested: skip SPY’s 10 best days since 1993 and $10k ends at $136,082, not $313,613 (βˆ’57%). Charts + Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Dividend Reinvestment Calculator: $10,000 in SPY Became $83,195 With DRIP vs $59,123 Without (Python)

November 2, 2026 by Michael
Featured line chart: $10,000 invested in SPY on Jan 3, 2000 grew to $83,195 with dividends reinvested vs $59,123 with dividends taken as cash by Oct 30, 2026, a gap of $24,072 (41%)

Dividend reinvestment calculator on real data: $10k in SPY became $83,195 with DRIP vs $59,123 as cash since 2000. VYM, SCHD, QQQ, taxes, Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

60/40 Portfolio Max Drawdown: βˆ’35.8% in 2008, but Only 3.7 Points of Cushion in 2022 (Python)

November 1, 2026 by Michael
Featured bar chart of max drawdowns, 100% stocks vs 60/40, daily data 1986-2026: 1987 -33.1% vs -21.7%, 2000-02 -47.5% vs -25.9%, 2008-09 -55.3% vs -35.8%, 2020 -33.8% vs -21.6%, 2022 -24.6% vs -20.9%, a gap of only 3.7 points

60/40 portfolio max drawdown: βˆ’35.8% in 2008 vs βˆ’55.3% for stocks, but only a 3.7-point cushion in 2022. Daily data since 1986, tables, Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

How Long Does It Take the Stock Market to Recover From a Crash? Median 2.1 Years (Python)

October 30, 2026 by Michael
Featured bar chart of the 12 S&P 500 declines of 20% or more since 1928, years from record high to the next record high: 1929 25.0 years, 1973 7.5, 2000 7.2, 2007 5.5, all others 0.5 to 3.3 years; median recovery 2.1 years

How long does it take the stock market to recover from a crash? S&P 500 median: 2.1 years across 12 crashes since 1928. Depth table, dividends, Python.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python Leave a comment

Sharpe Ratio vs Sortino Ratio: A Sharpe Tie Became 2.08 vs 1.65 (Python)

October 29, 2026 by Michael
Featured scatter chart of annualized Sharpe ratio vs Sortino ratio for eight assets, Oct 2016 to Sep 2026: Bitcoin and QQQ have nearly the same Sharpe (0.98 and 0.97) but Sortino ratios of 2.08 and 1.65, a 0.43 gap

Sharpe ratio vs Sortino ratio in Python: Bitcoin and QQQ tied on Sharpe (0.98 vs 0.97) over 10 years, but Sortino scored them 2.08 vs 1.65. Here’s why.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python

Best AI for KDP: The Draft Is Only 0.6% of Your Book Budget (Pick the AI That Saves Edits)

November 10, 2026October 28, 2026 by Michael
Featured bar chart of what one 60,000-word romance costs to produce at Reedsy average rates: developmental edit $1,740, copy edit $1,320, proofread $960, cover design $720 and the AI draft $30, which is 0.6% of the $4,770 total

Best AI for KDP? The draft is only 0.6% of a $4,770 pro-edited romance, and $20 to $37 on any ImagineYourBook plan. Pick the AI that saves editing passes, with budget tiers, break-even sales and an FAQ.

Categories Books Tags AI Writing, Amazon KDP, Fiction Writing, Python, Self-Publishing

How Often to Rebalance Portfolio? Once a Year (39 Trades Matched 477 in 40 Years)

October 27, 2026 by Michael
Featured line chart of the stock share of a 60/40 VFINX/VBMFX portfolio from 1987 to 2026: rebalanced once a year it stays near 60%, never rebalanced it drifts to 94% stocks by September 2026

How often to rebalance portfolio? Once a year: in a 40-year 60/40 Python backtest, 39 trades matched monthly’s 477 on Sharpe with a smaller drawdown.

Categories Finance, Investment, Pandas Library, Python Tags Pandas, Python

KDP Select vs Wide: 60 Wide Readers Replace 100 Kindle+ Readers (Long Books Should Stay)

October 27, 2026 by Michael
Featured line chart of how many full-price wide readers replace 100 Kindle+ readers by book length: at 300 KENP pages and $3.99 the answer is 60; the $2.99, $3.99 and $4.99 lines cross 100 at about 376, 502 and 628 KENP

KDP Select vs wide: 60 wide readers replace 100 Kindle+ readers for a 300-page $3.99 book, but long books win in Select. Python calculator inside.

Categories Books Tags AI Writing, Amazon KDP, Fiction Writing, Kindle Unlimited, Python, Self-Publishing
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  • KDP Author Copies Cost: $4.60 for a 300-Page Paperback, and Each Hand-Sold Copy Earns 2.4x an Amazon Sale
  • Equal Weight vs Market Cap S&P 500 Performance: A Tie for $10,000, a $128,086 Gap at $500 a Month
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  • Gold vs S&P 500 Last 20 Years: $10,000 Became $79,224 in Stocks vs $58,437 in Gold (Python)
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