Backtest Now vs ThesisEdge

Analyze your investment approach with Backtest Now, the portfolio analysis app that lets you test investment strategies using decades of historical market data. While internet is required to fetch market data and run new backtests, all calculated results are stored locally on your device - review your portfolio performance anytime, anywhere, even without an internet connection. Key Features: Synthetic Leveraged ETF Backtesting • Backtest leveraged ETFs before they existed! • Analyze portfolio performance during historical crises • SPX 3X/2X/-2X/-3X data since 1928 • NDX 3X/2X/-2X/-3X data since 1985 • DJI 3X/2X/-2X/-3X data since 1992 • Test how 3X ETFs would have performed during Dot-com bubble & 2008 crisis Offline Access to Your Results • View all saved backtest results without internet • Access portfolio performance metrics anytime offline • Your calculated data stays on your device, always available • Internet only needed for running new backtests Backtesting Engine • Test portfolios from 1928 to present with real market data • Compare against S&P 500 (VFINX) benchmark automatically • Support for stocks, ETFs, mutual funds, and synthetic leveraged ETFs Comprehensive Performance Analytics • CAGR (Compound Annual Growth Rate) analysis • Sharpe Ratio for risk-adjusted returns • Annual returns breakdown • All metrics viewable offline once calculated All data is stored locally on your device for offline accessibility. No account required, just powerful investment analysis at your fingertips - online or offline. Start testing your investment strategies today and invest with confidence! Download now and take control of your financial future with data-driven insights.

ThesisEdge turns plain-language investment ideas into rigorous historical backtests. Describe your strategy how you'd explain it to a friend — "DCA $500 monthly into SPY for 20 years, reinvest dividends" — and an AI built on gpt-5-mini parses it into precise parameters. A backtest engine running locally on your phone then simulates it against 30+ years of SP 500 history, including dividends, splits, ETF expense ratios, and capital gains tax. What you can test: • Single-stock buy-and-hold (AAPL, NVDA, TSLA, etc.) • Monthly/weekly DCA into individual stocks or ETFs (SPY, QQQ, VTI) • Equal-weight baskets (FAANG, dividend aristocrats) • Top-N screeners by market cap or growth metrics • Contrarian strategies (buy the laggards, RSI below 30 etc.) • "What if I bought at the 2007 peak?" worst-case timing Results include CAGR, max drawdown, Sharpe ratio, profit factor, win rate, and a side-by-side benchmark vs. SP 500. You can compare two strategies head-to-head and adjust for inflation (US CPI or PL CPI for PLN strategies). The engine is validated against open-source backtesting libraries (vectorbt + backtrader) on 100 diverse strategies — 96% match within 2%. The AI parser achieves 100% accuracy on 179 test prompts across 8 languages. Available in: English, Polish, German, French, Spanish, Portuguese, Simplified Chinese, Japanese. Free with ads. Each AI query has a cost; ads help keep the project running. Watch a short video to unlock extra features. Disclaimer: ThesisEdge is an educational tool for historical simulations. Past performance is NOT a guarantee of future results. This app does not provide investment recommendations or advice. All investment decisions are your own responsibility. SUBSCRIPTION & PURCHASES ThesisEdge Premium — Monthly (auto-renewable). Length: 1 month. Price: $2.99 USD/month (prices may vary by region). Premium removes ads and unlocks extra features. We also offer a one-time AI Token Pack (consumable, $2.99). Payment is charged to your Apple ID at confirmation of purchase. The subscription renews automatically unless canceled at least 24 hours before the end of the current period; your account is charged for renewal within 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://kandyb-studio.eu/apps/thesisedge/privacy.html