PocketBacktest vs ThesisEdge
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
PocketBacktest
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How would that portfolio actually have done? Type the tickers, set the weights, pick a period, tap Run Backtest. You get a clean growth chart and the numbers that matter. In about ten seconds, with no account and no spreadsheet. BUILD IT YOUR WAY • Save multiple portfolios of stocks, ETFs, and crypto • Start from a preset - 60/40 Balanced, All Weather, Three-Fund, Total Nasdaq, Crypto Blend and more • Split weights evenly with one tap, or type them to the decimal • Duplicate a portfolio to try a variation without losing the original • Swipe to delete; each portfolio keeps the colour it uses on the chart TEST IT PROPERLY • Periods from 1 week to 5 years, YTD, or the full available history • Rebalancing: Buy & Hold, Monthly, Quarterly, or Annually • Add recurring contributions - daily, weekly, monthly, quarterly or yearly • Set your own risk-free rate for the risk figures THE NUMBERS • Total return, CAGR, and ending balance • Money-weighted return (MWRR) once you are adding contributions • Maximum drawdown - the worst peak-to-trough fall along the way • Volatility, Sharpe, Sortino, Calmar, and beta • Contributions are excluded from the return maths, so money you paid in is never counted as growth READ THE CHART • Compare every portfolio on one chart, side by side • Drag to inspect any single day; press and hold, then drag, to measure a range • Turn the phone sideways for a full-screen chart • Optional log scale, or start everything at 100 to compare shape rather than dollars • Export a run as CSV and a chart image, zipped and ready to share MADE TO LIVE ON YOUR PHONE • Ten themes, each with a genuine light and dark version that follows your System setting • Portfolio Pulse widget keeps your last run on the home screen • Ask Siri: "Run a backtest in PocketBacktest" • Full Dynamic Type, VoiceOver labels, and Reduce Motion support • Prices are cached, so recent runs still work with a weak connection Disclaimer: The information provided in this app is for informational and entertainment purposes only and should not be considered financial advice. Past performance does not predict future results. Always do your own research or consult a qualified financial professional before making investment decisions.
ThesisEdge
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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
Screenshots
Verdict
The clearest difference is update cadence: ThesisEdge at daily against PocketBacktest's every 6 weeks. ThesisEdge also leads on device support (3 vs 1) and iOS requirement (14.0 vs 18.0). On price, ads and in-app purchases there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
PocketBacktest ships an update every 6 weeks, ThesisEdge daily. The most recent releases landed on October 15, 2026 and October 5, 2026 respectively.
| Parameter | PocketBacktest | ThesisEdge |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 6 weeks | Daily — better |
| Ads | Yes | Yes |
| In-app purchases | No | No |
| Devices | iPhone | iPhone, iPad, iPod — better |
| Requires iOS | 18.0 | 14.0 — better |
| Further details — not scored | ||
| Size | 7 MB | 44 MB |
| Age rating | 4+ | 4+ |
| Developer | Daniel Cannon | PAWEŁ KANDYBOWICZ |
In-app purchases
PocketBacktest
No in-app purchases
ThesisEdge
No in-app purchases
Questions
Is PocketBacktest free?
Is ThesisEdge free?
Do PocketBacktest or ThesisEdge have ads?
Which is updated more often, PocketBacktest or ThesisEdge?
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