MCarloRisk vs SafeBudget
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.
SafeBudget
This private budgeting app helps you track expenses and manage budgets without needing bank access. It offers detailed reports, wallet management, and leftover calculations. An optional subscription unlocks advanced features like data import/export and custom recurring transactions.
- Private expense tracking
- No bank account access required
- Create wallet accounts
- Calculate leftovers
- Detailed spending reports
- Import/export expense lists (premium)
- Custom recurring transactions (premium)
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SafeBudget is a smart expense tracker that helps you keep track of your expenses and budgets with ease, while maintaining complete privacy. Unlike other financial apps, we don't need access to your bank or expenses accounts to get your financial data. This gives you complete control over your finances, and the security of your personal information. With SafeBudget, you can easily log all of your expenses, create wallet accounts, calculate your leftovers, and view detailed reports and insights into your spending habits. But that's not all - with SafeBudget+, you get exclusive features that take your expense tracking to the next level. For just $9.99 per year, you can import and export your expense lists, create custom expenses, set up unlimited expense and wallet accounts, manage unlimited bills and goals, and schedule recurring income and bills. SafeBudget is the ultimate tool for anyone looking to take control of their finances and stay on top of their budgets. Best of all, SafeBudget does not collect any personal information, so you can use it with complete peace of mind. Download SafeBudget today and start taking control of your finances! SafeBudget+ Payments and Renewal: A $9.99 per year purchase will be applied to your iTunes account. Subscriptions will automatically renew unless canceled within 24-hours before the end of the current period. You can cancel anytime with your iTunes account settings. Manage your subscription in Settings after purchase. For more information, see the Terms of Use and Privacy Policy. Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula Privacy policy: https://www.iubenda.com/privacy-policy/40829937
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Verdict
The clearest difference is in-app purchases: MCarloRisk at none against SafeBudget's 1. MCarloRisk also leads on ratings volume (5 vs 1). SafeBudget's advantage is rating (5.0 vs 4.8). On price, ads, device support and iOS requirement 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. SafeBudget sells 1 in-app purchase, starting at $9.99 per year. MCarloRisk asks for nothing beyond the download.
SafeBudget 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.
| Parameter | MCarloRisk | SafeBudget |
|---|---|---|
| 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 | — |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | Free — better | Freemium |
| Devices | iPhone, iPod — better | iPhone |
| Requires iOS | 15.6 — better | 16.0 |
| Further details — not scored | ||
| Size | 2 MB | 46 MB |
| Age rating | 4+ | 4+ |
| Developer | differential enterprises | James Gaudino Sanchez |
Customer experience
MCarloRisk
SafeBudget
In-app purchases
MCarloRisk
No in-app purchases
SafeBudget
- SafeBudget+7 Days trial$9.991 Year
Questions
Is MCarloRisk free?
Is SafeBudget free?
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