StratChart vs MCarloRisk3DLite

StratChart is a distinctive market analyzer that presents trends and records of the world's major market data through a variety of charts and graphs. Market Catalog We provide analysis of the major markets. United States, Canada, Germany, France, United Kingdom, Australia, Japan, Shanghai, Hong Kong, Taiwan, and India. Analysis Catalog Market trends can be viewed from a variety of perspectives. Annual, date, day of the week, consecutive up/down days, first vs. second half of the year, and date of U.S. presidential election. Visualized Analysis Tap the item you wish to view to access the visualized analysis information. Line charts, probability distributions, tables, etc. Each page is accompanied by an explanation of the analysis chart, which can be viewed by tapping the "i" button. Growing Analysis Catalog StratChart is committed to expanding its analysis offerings. When we add new analysis items or new features, we will notify you on the news page in the application. Membership All users can access to all analysis items. Free members receive information with a one-week delay, while subscription members enjoy access to the latest analyses. Note StratChart is designed for educational purposes. Please be advised not to make investment decisions based on the information provided by the app.

Drift-diffusion Monte Carlo forecaster from raw asset price data including crypto assets, with bulk backtesting. This Lite version of the app now supports 3D views on iPhones, with hidden control menu to give more space for the graphics. Use + button on upper right of the Monte Carlo tab view to show additional controls. It allows an introduction to these methods without an undue amount of options to avoid confusion. See MCarloRisk3D for iPad and macOS for Full Featured Functionality. The simplified Lite version of the app is also made available on iPad. Instead of time series (traditional charting), the app is based on the statistical properties of daily return data (percent change in asset price per trading day). - examine historical returns distributions for one asset at a time, with distribution metrics computed automatically such as mean return, volatility, skew (bullish/bearish), kurtosis (fat tail metric), and tail ratio (fat tail bias: bullish or bearish) - display returns as a histogram along with these return metrics - generate monte carlo forecast models from empirical (actual) historical returns data, without assuming normality of returns - backtest these models in a single pass bulk backtest - get simple metric report-outs and detailed envelope graphs of forecast results, optionally displayed as a 3D surface for easier understanding This app resamples from empirical daily returns to generate forward-in-time monte carlo paths (random walks). No distribution shape assumptions are needed, works with empirical returns distribution (historical data as-is). This is especially useful for new assets such as crypto or more exotic equities which may not conform to normal or lognormal return assumptions, especially in shorter time periods. Aggregates monte carlo paths into a (price, time, probability) surface. Allows user to slice thru and examine this surface (e.g. price over time versus probability) and visualize the surface in 3D and with shaded contour plots. Allows user to set up bulk backtests by withholding the most recent data and examining the model versus this withheld data. Allows display of a sampling of monte carlo random walk paths before they are aggregated, allowing highlighting of individual paths; for teaching and example purposes. 
Detailed training and examples available online in the Help tab. Raw price data from IEX Exchange or cryptocompare.com