Comparison

MCarloRisk vs Monnio

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

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.

Highlights
  • Monte Carlo price simulations
  • Portfolio risk analysis
  • Cryptocurrency support
  • Pairwise correlation/regression
  • Customizable historical data lookback
  • Empirical distribution resampling
  • Built-in backtesting
Features
Read full description

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.

About

Monnio

Features
Read full description

Monnio is here to remove the complexity of tracking crypto investments, empowering our users to make better and faster decisions with real-time insights, and giving you back time to focus on your journey of building wealth. We use top-notch technology running on top of the most widely used blockchains. Monnio doesn't require you to connect your wallet, as we believe privacy is one of the most important aspects of your investment journey. With Monnio, you have a simple and secure experience, allowing you to stay on top of your investments. This is why we built Monnio for you—to reflect our beliefs. Install Monnio today, add your wallets, uncover token opportunities with real-time strategies, and see what we’ve lined up for you! ;)

Screenshots

MCarloRisk4 screens
Monnio4 screens

Verdict

The call

The clearest difference is in-app purchases: MCarloRisk at none against Monnio's 4. MCarloRisk also leads on update cadence (fortnightly vs monthly). Monnio's advantage is iOS requirement (13.0 vs 15.6). On price, ads and device support 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

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Monnio sells 4 in-app purchases, starting at $7.99 per month. MCarloRisk asks for nothing beyond the download.

UpkeepUpdate frequency

MCarloRisk ships an update fortnightly, Monnio monthly. The most recent releases landed on September 18, 2026 and September 30, 2026 respectively.

Scorecard3 real differences · 7 level
MCarloRisk versus Monnio: the parameters behind the verdict, then further details
ParameterMCarloRiskMonnio
PriceFreeFree
Rating4.8 (5 ratings) — better—
Positive reviews100.0% of reviews—
Number of ratings5 — better—
Update frequencyFortnightly — betterMonthly
AdsNoNo
In-app purchasesNo — betterYes
MonetizationFree—
DevicesiPhone, iPodiPhone, iPod
Requires iOS15.613.0 — better
Further details — not scored
Size2 MB111 MB
Age rating4+4+
Developerdifferential enterprisesMonnio LLC

In-app purchases

None

MCarloRisk

No in-app purchases

4 purchases

Monnio

Subscriptions4
  • Monnio Pro Monthly$7.991 Month
  • Monnio Premium Monthly$11.991 Month
  • Monnio Pro Annual3 Days trial$49.991 Year
Show 1 more
  • Monnio Premium Annual3 Days trial$99.991 Year

Questions

Is MCarloRisk free?
MCarloRisk is free to download, with no in-app purchases.
Is Monnio free?
Monnio is free to download, with in-app purchases available.
Do MCarloRisk or Monnio have ads?
Neither MCarloRisk nor Monnio shows ads.
Which is updated more often, MCarloRisk or Monnio?
MCarloRisk ships an update fortnightly, and Monnio monthly. Most recently, MCarloRisk was updated on September 18, 2026 and Monnio on September 30, 2026.

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