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Sell in May

by Erich Champion
Pay once $24.99iPhone & iPad
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About Sell in May

PROFESSIONAL MARKET ANALYSIS. COMPLETELY PRIVATE.

Sell in May brings institutional-quality market intelligence to your iPhone and Mac. Combining historical pattern recognition with optional on-device LSTM deep learning, it reveals what history suggests about any stock's future — under current market conditions — and can now keep watch on your Watchlist while you're away.

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WHY SELL IN MAY IS DIFFERENT

Unlike simple charting apps, Sell in May is regime-aware: it classifies market conditions (volatility, trend, sentiment, macro regime) and only shows you patterns from similar historical periods, because markets don't behave the same in bull runs and bear markets.

DUAL-ANALYSIS ENGINE

• Pattern Matching: Scans 10+ years of data to find similar price patterns from comparable market regimes

• Optional LSTM AI Forecasting: Probabilistic predictions for 5, 10, and 20-day horizons, with a clear "unavailable" indicator on the rare occasion the on-device model can't load

• Two complementary perspectives reduce prediction bias

REGIME-AWARE INTELLIGENCE

Automatically detects volatility (Low/Medium/High), trend (Trending/Mean-Reverting/Neutral), risk sentiment (Risk-On/Risk-Off/Neutral), and macro regime (Recession, Slowdown, Recovery, Expansion, Stagflation). Historical patterns are filtered to match YOUR current regime.

WATCHLIST & DAILY BRIEF (Optional)

• Track the symbols you care about with an opt-in Morning Brief notification

• Overnight pattern scanning surfaces real high-confidence matches found across your Watchlist while you slept

• Optional mid-day pattern-alert pass for a second check during market hours

AI CHAT

• Ask questions about any analysis in plain language, powered by an on-device LLM

• Conversations persist as you navigate instead of resetting on every tap

• Dynamic suggestion chips surface the forecast direction and top historical pattern for the symbol you're viewing

FUNDAMENTALS & DCF CALCULATOR

• Per-ticker discounted cash flow calculator with live free cash flow / net debt auto-populated from market data

• Peer correlation heatmap and risk & performance metrics against a configurable benchmark

MACRO-ECONOMIC CONTEXT (Optional)

With a FRED API key, integrates Federal Reserve data: interest rates, yield curve, credit spreads, CPI year-over-year, unemployment, sentiment, and recession probability. Patterns from similar economic conditions receive a similarity boost.

PROBABILISTIC FORECASTING

Never just a single number — always a range: multi-horizon predictions with confidence intervals, return percentiles (10th/25th/median/75th/90th), downside risk probabilities, and expected volatility.

100% PRIVACY-FIRST

Complete on-device processing — your data never leaves your phone or Mac. No account, no cloud backend, no tracking. Works offline after initial data fetch. All analytics, forecasting, and AI chat run locally.

PROFESSIONAL-GRADE TOOLS

14+ technical indicators, k-NN similarity matching, Core ML inference, Accelerate-framework computation, real-time ticker tape.

WHO IT'S FOR

Active traders, swing traders, quantitative analysts, privacy-conscious investors, and market students learning how regimes affect prices.

DATA SOURCES

Yahoo Finance for prices, FRED for economic indicators (optional), Stooq as a historical-data fallback. All data cached locally for offline use.

NO SUBSCRIPTIONS. NO CLOUD. NO COMPROMISE.

Your market intelligence deserves the same privacy as your portfolio. Professional analysis. Consumer simplicity. Complete data sovereignty.

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DISCLAIMER: Sell in May is a research and educational tool. Past performance does not guarantee future results. All forecasts are probabilistic and should not be considered investment advice. Always conduct your own due diligence before making investment decisions.

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How it charges

Pay once $24.99

Paid once — $24.99 — with no in-app purchases.

The store lists no in-app purchases.

Checked against the store listing on Oct 29, 2026. Something wrong? Tell us

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