MCarloRisk vs FutureFolio
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
MCarloRisk
Analyze stock and cryptocurrency price probabilities using Monte Carlo simulations. This tool estimates future price distributions and risk of loss without assuming normal returns or requiring manual volatility estimates. It offers portfolio analysis, correlation, and optimization based on historical data.
- Monte Carlo price simulations
- Portfolio risk analysis
- Cryptocurrency support
- Pairwise correlation/regression
- Customizable historical data lookback
- Empirical distribution resampling
- Built-in backtesting
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Stock price / probability risk analyzer & optimizer for the common man. See also our new support for top cryptocurrencies. Now with portfolio support, pairwise correlation/regression analysis of daily returns, and portfolio optimization. Computes forward (price,probability) for your share-weighted portfolio. Unlike other folio optimizers, this code does not assume normality of returns, nor does it require to you enter volatility estimates...these are computed from public historical return data, and you can tell it how far back to look to compute the volatility. Try some optimizations and compare to results from other codes! Main data feed is the innovative IEX. Why rely on the tea leaves of chart reading when you can apply real statistics and historical resampled data to your analysis? While charting tools such as Bollinger bands, moving averages, and candlesticks are generated only on historical data, this app takes past data and remixes it via Monte Carlo methods to generate thousands of possible future price walks, then computes the probabilities of those price outcomes. Also works for stock-like ETFs and short ETFs (e.g. SH = short SPY). Estimates future price distribution using random walk theory, where random samples are chosen from the history of the stock in question. User can control how far back in time to use historical data to capture only the current "epoch" or to take into account long term historical behavior. Built-in backtesting, verification, and model tuning tools. -- Details -- This app models daily stock returns as a stable stochastic process and estimates a future price distribution by Monte Carlo re-sampling from an "empirical distribution" of a user-specified subset of prior (known) daily returns. Be sure to press the Run Monte button on the Monte Carlo tab after changing settings or downloading a new data set. This app downloads historical data from IEX as base data to resample. Prices are converted to daily returns [P(t)/P(t-1)] before resampling. The user can choose how far back to resample. By estimating a probability distribution of future prices at the user-specified investment horizon in this manner, we can give risk-of-loss estimates in thumb-rule fashion, to a first approximation. Reports out estimated price and %loss estimates at the commonly used levels of 1st percentile and 5th percentile (1% and 5% risk). Also reports out median (50th percentile) price estimates at the given number of days forward. Calculations are performed on daily Closing price data. An artificial shock filter is provided, which can be used to reject the resampling of prior returns that are artificially large (due to splits or other artificial re-valuations that do not affect the underlying value of the asset). Theory of operation is described in detail under the Theory tab. The stochastic model may be tuned or calibrated by adjusting the maximum number of days backwards to sample and/or a back in time linear weighting. Stochastic Model Validation (backtest) features: On the Monte Carlo tab, you can withhold any number of recent days from the model and then plot the results of the stochastic risk forecast as lower-bound envelopes at 1% and %5 and all other estimated probability (risk) levels dynamically after the model run is completed. Validate tab: This allows you to perform an exhaustive validation on your model by withholding several points, computing the model, comparing the forward prediction of the model versus the actual reserved data, and repeating this over time for all withheld points. The app provider makes no claims as to the suitability of this app for any purpose whatsoever, and the user should consult an investment advisor before making investment decisions.
FutureFolio
Simulate investment outcomes with sophisticated Monte Carlo techniques. This app offers a user-friendly interface to input variables and visualize projections for retirement planning, savings goals, or exploring investment strategies. Gain educational insights into market fluctuations and fees.
- Monte Carlo investment simulations
- User-friendly interface
- Customizable financial scenarios
- Visual investment projections
- Personal investment analysis
- Educational insights on market impact
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Introducing FutureFolio - Your Future Financial Partner Unlock the potential of your investments with FutureFolio, the cutting-edge investment simulator designed for the savvy investor. Whether you're planning for retirement, saving for a big purchase, or simply exploring investment strategies, FutureFolio offers a dynamic environment to simulate and analyze potential investment outcomes using sophisticated Monte Carlo simulation techniques. Why FutureFolio? Powerful Simulation Tools: Employ robust Monte Carlo simulations to project future investment values, allowing for informed, data-driven financial decisions. User-Friendly Interface: Sleek, intuitive design makes it simple to input variables and understand complex outcomes. Whether you're a seasoned investor or just starting, FuturistFolio is tailored to all levels of experience. Customizable Scenarios: Adjust variables like initial investment, monthly contributions, expected annual return, volatility, and more to model different financial scenarios and see detailed projections. Educational Insights: Learn the implications of fees, returns, and market fluctuations on your investments with real-time simulations that make complex data easy to digest. Key Features Include: Personal Investment Analysis: Enter your unique investment details and watch FuturistFolio calculate potential future values. Visual Projections: Graphical displays help visualize how investments could grow over time under various economic conditions. Secure and Private: No personal data is collected or required to use the app, ensuring your financial information remains private. Designed for Anyone Interested in Building Wealth FutureFolio is perfect for: Individual investors planning their financial future. Financial students and professionals who require a powerful tool for investment analysis. Anyone curious about how market changes can affect investment growth. Embrace the future of investment with FutureFolio and start making smarter financial decisions today!
Screenshots
Verdict
The clearest difference is update cadence: FutureFolio at every 3 days against MCarloRisk's fortnightly. FutureFolio also leads on rating (5.0 vs 4.8). MCarloRisk's advantage is ratings volume (5 vs 1). On price, ads, in-app purchases and monetization model 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.
FutureFolio holds the better App Store score, 5.0 against 4.8. That said, the two scores are not equally well evidenced: MCarloRisk has 5 ratings behind it against 1, so its average is the more settled of the two.
MCarloRisk ships an update fortnightly, FutureFolio every 3 days. The most recent releases landed on July 31, 2026 and June 5, 2026 respectively.
| Parameter | MCarloRisk | FutureFolio |
|---|---|---|
| Price | Free | Free |
| Rating | 4.8 (5 ratings) | 5.0 (1 ratings) — better |
| Positive reviews | 100.0% of reviews | — |
| Number of ratings | 5 — better | 1 |
| Update frequency | Fortnightly | Every 3 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPod — better | iPhone |
| Requires iOS | 15.6 — better | 16.0 |
| Further details — not scored | ||
| Size | 2 MB | 4 MB |
| Age rating | 4+ | 4+ |
| Developer | differential enterprises | Sultan Babar |
Customer experience
MCarloRisk
FutureFolio
In-app purchases
MCarloRisk
No in-app purchases
FutureFolio
No in-app purchases









