Comparison

MCarloRisk vs Chart Master

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

Chart Master

Practice trading strategies with historical market data across various assets like stocks, forex, and crypto. Analyze past performance, learn from top traders, and refine your approach without risking real money. Ideal for beginners and experienced traders looking to hone their skills.

Highlights
  • Practice trading with historical data
  • Fast-forward through market history
  • Analyze top trader strategies
  • Backtest Forex, Crypto, Stocks, Futures
  • Supports short timeframes (e.g., 1-minute)
  • Learn trading without investment
Features
Read full description

Chart Master is a trading simulator/game that allows you to practice your trading skills using historical chart data. THE BEST PART? It lets you fast-forward through historical data to see the results of your strategy much more quickly. HOW TO LEARN TRADING USING OUR APP? 1. You can develop your strategy yourself by trial and error. That's trading 101. 2. You can take a peek at how our best contestants trade and analyze their decisions. 3. You can put into practice strategies advertised by your favorite YouTubers and see if they really work as promised. As a result, it's a great tool to learn trading even for beginners with zero investment knowledge. DOES IT WORK WITH CRYPTO OR FOREX? Yes, you can backtest Forex, Futures, Cryptocurrencies, and Stocks. We have stocks from the S&P 500 and many national exchanges, including European stocks, India, South Africa, UK, Japan, etc. CAN I TRAIN DAY TRADING TOO? Yes, Forex data includes timeframes as short as 1 minute. We're open to suggestions on what timeframes/data to add. DOES IT WORK LIKE A DEMO/OFFLINE BROKER ACCOUNT? Not really. In such a paper account, you trade without investment, but it takes days/months, so you get bored and switch to real trading, where you soon start losing money (unless you're lucky). Our app differs by letting you replay the market moves and emulate your game plan in minutes. So you don't get bored; instead, you get frustrated by constant losing. :-) Still better than losing real money. WILL IT TEACH ME TRADING? Yes, but be warned that it takes time to master the skill. We don't promise you'll ever beat Crypto or Forex AI bots, but if you dedicate yourself to training, you'll have a chance to join the elite fraction of traders who can consistently make money on trading. One thing you'll learn for sure: you'll realize how easy it is to blow your account, especially when trading Forex, Crypto, or CFDs, where the leverage is usually high. Your success is up to you. Chart Master can be used for free. Optional paid subscription lets you get rid of ads and provides access to extra timeframes and more historical data. Terms of Use: https://chartmaster.app/terms.php

Screenshots

MCarloRisk4 screens
Chart Master4 screens

Verdict

The call

The clearest difference is in-app purchases: MCarloRisk at none against Chart Master's 5. MCarloRisk also leads on ads (none vs shown) and update cadence (fortnightly vs every 6 weeks). Chart Master's advantage is ratings volume (16 vs 5) and iOS requirement (13.0 vs 15.6). On price, rating, review sentiment 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. Chart Master sells 5 in-app purchases, starting at $0.99 per 7 days. MCarloRisk asks for nothing beyond the download.

ReceptionRating · Positive reviews · Number of ratings

On the App Store both sit at effectively the same score — 4.8 for MCarloRisk against 4.8 for Chart Master. Both are backed by a comparable volume of ratings — 5 and 16 respectively. Written reviews split almost evenly too, at 100% and 100% positive.

UpkeepUpdate frequency

MCarloRisk ships an update fortnightly, Chart Master every 6 weeks. The most recent releases landed on July 31, 2026 and September 16, 2026 respectively.

Scorecard6 real differences · 4 level
MCarloRisk versus Chart Master: the parameters behind the verdict, then further details
ParameterMCarloRiskChart Master
PriceFreeFree
Rating4.8 (5 ratings)4.8 (16 ratings)
Positive reviews100.0% of reviews100.0% of reviews
Number of ratings516 — better
Update frequencyFortnightly — betterEvery 6 weeks
AdsNo — betterYes
In-app purchasesNo — betterYes
MonetizationFree — betterFree with in-app purchases
DevicesiPhone, iPodiPhone, iPad, iPod — better
Requires iOS15.613.0 — better
Further details — not scored
Size2 MB60 MB
Age rating4+4+
Developerdifferential enterprisesMichal Drapiewski

Customer experience

MCarloRisk

All ratings5 ratings
Positive100.0%
Neutral0.0%
Negative0.0%
Written reviews4 reviews
Positive100.0%
Neutral0.0%
Negative0.0%

Chart Master

All ratings16 ratings
Positive100.0%
Neutral0.0%
Negative0.0%
Written reviews5 reviews
Positive100.0%
Neutral0.0%
Negative0.0%

In-app purchases

None

MCarloRisk

No in-app purchases

5 purchases

Chart Master

Subscriptions4
  • Premium Subscription 1 Week$0.997 Days
  • Premium Subscription 1 Month$1.991 Month
  • Premium Subscription 3 Months3 Days trial$9.993 Months
Show 1 more
  • Premium Subscription 1 Year3 Days trial$17.991 Year
One-time1
  • Premium Access Forever$19.99

Questions

Is MCarloRisk free?
MCarloRisk is free to download, with no in-app purchases.
Is Chart Master free?
Chart Master is free to download, with in-app purchases available.
Which has better reviews, MCarloRisk or Chart Master?
MCarloRisk and Chart Master are both rated 4.8 out of 5 on the App Store, from 5 and 16 ratings respectively.
Do MCarloRisk or Chart Master have ads?
Chart Master shows ads; MCarloRisk does not.
Which is updated more often, MCarloRisk or Chart Master?
MCarloRisk ships an update fortnightly, and Chart Master every 6 weeks. Most recently, MCarloRisk was updated on July 31, 2026 and Chart Master on September 16, 2026.

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