VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS ★

PRICE: 5 CENTS

Friday, December 12, 2025

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Tool Comparison

MarketInOut vs Portfolio Visualizer comparison

Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.

Quick takeaways

MarketInOut adds Screeners, Watchlist, Portfolio, Alerts, and APIs & SDKs coverage that Portfolio Visualizer skips.

Portfolio Visualizer includes Data Visualizations, Quant, Factor Exposure, Risk Metrics, and Monte Carlo categories that MarketInOut omits.

In depth comparison

MarketInOut

marketinout.com

Screener and backtesting platform with one-time memberships (6-month, 1-year, or 2-year). A limited free tier is available, but some results and features are gated. Supports near real-time data for U.S. equities, TSX, Forex, and Crypto; other exchanges are delayed by 15 minutes. Intraday periods are available for IEX, Forex, and Crypto only; extended-hours data is not supported. API access for screener data can be requested separately. Discounts are offered for crypto payments.

Platforms

Web

Pricing

FreeOne-time

Quick highlights

Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports.
Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported.
Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters.
Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed.
Strategy Backtester supports entry/exit rules, stop-loss/take-profit, and position maintenance. Data is survivorship-bias-free (includes delisted stocks).

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Portfolio Visualizer

portfoliovisualizer.com

Hands-on review

Web-based analytics suite for portfolio backtesting, optimization, and factor analysis. The free tier supports up to ~15 assets and limited history, while Basic and Pro tiers extend to ~150 assets with YTD results, model saving, and data export. Paid plans include a 14-day free trial.

Platforms

Web

Pricing

FreeSubscription

Quick highlights

Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting.
Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning.
Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model.
Factor analytics with multi-factor regressions and a risk-factor allocation optimizer.
Correlation analysis at the asset or asset-class level via heatmaps and matrices.

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Where they differ

MarketInOut

Distinct strengths include:

Screeners Watchlist Portfolio Alerts APIs & SDKs

Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports.
Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported.
Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters.
Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed.

Portfolio Visualizer

Distinct strengths include:

Data Visualizations Quant Factor Exposure Risk Metrics Monte Carlo

Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting.
Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning.
Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model.
Factor analytics with multi-factor regressions and a risk-factor allocation optimizer.

Feature-by-feature breakdown

Attribute	MarketInOut	Portfolio Visualizer
Categories Which research workflows each platform targets	Shared: Backtesting, Correlation Unique: Screeners, Watchlist, Portfolio, Alerts, APIs & SDKs	Shared: Backtesting, Correlation Unique: Data Visualizations, Quant, Factor Exposure, Risk Metrics, Monte Carlo
Asset types Supported asset classes and universes	Stocks, ETFs, Currencies, Cryptos	Stocks, ETFs, Mutual Funds, Bonds, Commodities
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web	Web
Pricing High-level pricing models	Free, One-time	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports. Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported. Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters. Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed. Strategy Backtester supports entry/exit rules, stop-loss/take-profit, and position maintenance. Data is survivorship-bias-free (includes delisted stocks). Portfolio tracker with unlimited portfolios, intra-day last prices, daily P/L, and simple paper-trading views. Positions can be added directly from screener results.	Unique Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting. Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning. Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model. Factor analytics with multi-factor regressions and a risk-factor allocation optimizer. Correlation analysis at the asset or asset-class level via heatmaps and matrices. Tactical asset allocation strategies such as moving averages, momentum signals, valuation-based models, and target volatility frameworks.
Tested Verified by hands-on testing inside Find My Moat	Not yet	Yes
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do MarketInOut and Portfolio Visualizer both support?

Both platforms cover Backtesting, and Correlation workflows, so you can research those use cases in either tool before digging into the feature differences below.

Do MarketInOut and Portfolio Visualizer require subscriptions?

Both MarketInOut and Portfolio Visualizer keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access MarketInOut and Portfolio Visualizer?

Both MarketInOut and Portfolio Visualizer prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.

What unique strengths set the two platforms apart?

MarketInOut differentiates itself with Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports., Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported., and Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters., whereas Portfolio Visualizer stands out for Portfolio backtesting for mutual funds, ETFs, and stocks with configurable rebalancing rules; separate modules for asset-class backtesting., Monte Carlo simulations for portfolio growth, survival probabilities, and goal-based financial planning., and Optimization tools including efficient frontier modeling, mean–variance optimization, and the Black–Litterman model..

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