MathU RPN Calc vs MCarloRisk

MathU RPN is an advanced scientific and financial calculator designed in the spirit of classic HP calculators. MathU RPN is based on the Reverse Polish Notation (RPN) entry system and combines more than 96 functions to create a calculator that meets the needs of professionals who use a calculator every day. First released in 2008, the calculator continues to be updated with new features as iOS improves. MathU RPN works on the iPhone, iPad and macOS. On the iPad, MathU RPN maintains its orientation as the iPad is turned and you can rotate it from portrait to landscape keypad layout via the Rotate button. When the iPad has a hardware keyboard attached, you can type of the names of the buttons the keyboard to execute them -- thus avoiding having to press the calculator keys with your finger. On the iPhone, you can lock it to always use the portrait or landscape keypad or let it switch orientations automatically when you rotate your phone. MathU RPN is an excellent financial calculator. There are functions for computing mortgage amortization and cash flow computations like IRR and NPV, as well as functions for working with dates. Many of the existing financial functions have been extended to handle odd periods (conforming to the same conventions as the HP-12C). In addition, on tall devices (like most iPhones), the financial registers are displayed on the keypad. MathU RPN is also a programmer's calculator. The A-F keys are available right up front for easy entry in HEX mode and there are many functions for working with integers. Dr. Clay M. Thompson of Creative Creek has harnessed the computational power of the iPhone to produce an accurate and high performance calculator. General Features - IEEE double precision accuracy (16 digits) - High performance fast computations - 20 storage registers - 5 financial registers - 16 high stack (switchable to 4) - Supports international number separators - Switch between portrait and landscape keypads - Quick access to the preference and on-line manual - Stack and Register view (accessible via [RCL][RCL] Scientific Features - Full set of trigonometric functions - Full set of logarithmic and power functions - Statistics functions - Polar and rectangular conversions - Repeated computations Mortgage and Loan Features - Time value of Money functions - Compute mortgage and loan terms - Solve for payments and interest rates - Solve for IRR and NPV - Date functions Computer Science Features - Number bases (HEX, OCT, DEC, BIN) - Bitwise logical operations - Masking and shifting functions - Support for a wordsizes up to 48 bits - Modular arithmetic MathU 4.1 supports iOS 16.6 or higher as well as macOS. For more info (including the users manual) go to http://www.creativecreek.com or use the built-in quick reference.

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.