MCarloRisk vs tastylive
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.
tastylive
Access a live financial network with thousands of hours of content for active traders. Evaluate markets using data-driven strategies and watch real traders in action. Learn new trading strategies and stay engaged with on-demand videos and a live trade feed.
- Live financial network
- Probabilistic outcome analysis
- Strategy-based market evaluation
- Thousands of hours of content
- On-demand videos
- Live trade feed
- Real-time trading demonstrations
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tastylive: a live financial network for active retail traders. With the tastylive app you can stay at the forefront of what's happening in the financial markets and be entertained (not a common trend when it comes to financial media) no matter where your investing endeavors may take you. The tastylive network has produced thousands of hours of investable content. Using probabilistic outcomes and strategy-based mechanics to evaluate the stock, options, and futures markets instead of opinion-based theories is how we differentiate ourselves from other financial networks...in case you were wondering. Learning new options and futures trading strategies and staying connected and engaged in the markets has never been easier with the tastylive app. With the tastylive app, you can catch the live show every day, as well as watch ALL of our available videos on demand 24/7. Not only that, but you can access our trade feed; follow and watch real traders trade real products in real time! What's the catch? There isn't one. We're free to use, no subscription necessary. tastylive transformed the financial content game and is one of the fastest-growing financial networks of all time. In 2017, tastyworks, a tastylive affiliate company, launched to leverage that historic growth. A brokerage firm tailored for traders at every level, tastyworks equips traders with tools to succeed: offering low rates, intuitive software, custom metrics, visualization tools, and outstanding customer support. This might seem too good to be true, right? Well, join the millions who have already checked us out and see for yourself why they're getting hooked!
Screenshots
Verdict
The clearest difference is rating: MCarloRisk at 4.8 against tastylive's 4.0. MCarloRisk also leads on review sentiment (100% vs 63%). tastylive's advantage is ratings volume (84 vs 5). On price, update cadence, 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.
MCarloRisk holds the better App Store score, 4.8 against 4.0. That said, the two scores are not equally well evidenced: tastylive has 84 ratings behind it against 5, so its average is the more settled of the two. Written reviews point the same way: 100% of MCarloRisk's written reviews are positive against 63% of tastylive's.
MCarloRisk ships an update fortnightly, tastylive monthly. The most recent releases landed on July 31, 2026 and September 22, 2026 respectively.
| Parameter | MCarloRisk | tastylive |
|---|---|---|
| Price | Free | Free |
| Rating | 4.8 (5 ratings) — better | 4.0 (84 ratings) |
| Positive reviews | 100.0% of reviews — better | 62.5% of reviews |
| Number of ratings | 5 | 84 — better |
| Update frequency | Fortnightly — better | Monthly |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPod | iPhone, iPad, iPod — better |
| Requires iOS | 15.6 | 15.0 — better |
| Further details — not scored | ||
| Size | 2 MB | 97 MB |
| Age rating | 4+ | 9+ |
| Developer | differential enterprises | tastylive, inc. |
Customer experience
MCarloRisk
tastylive
In-app purchases
MCarloRisk
No in-app purchases
tastylive
No in-app purchases









