Tool Comparison
Portfolio Visualizer vs QuantConnect
- Paid from
- $30/mo
- Free plan
- Yes
- Platforms
- Web
Best if
- You want monte carlo, correlation, and risk metrics.
- Paid from
- On request
- Free plan
- Yes
- Platforms
- Web, Desktop, API
Best if
- Delayed quotes won't cut it; you need real-time data
- You want an API so you can script or automate things
- You want paper trading, auto-trading & bots, and options.
Pick Portfolio Visualizer if
Portfolio Visualizer
Free • From $360/yr · Web
- You want monte carlo, correlation, and risk metrics.
Pick QuantConnect if
QuantConnect
Free • Contact for pricing · Web · Desktop · API
- Delayed quotes won't cut it; you need real-time data
- You want an API so you can script or automate things
- You want paper trading, auto-trading & bots, and options.
Skip both if: Neither one clicks with how you research; there are strong third options.
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Our take
The bottom line
Portfolio Visualizer and QuantConnect cover a lot of the same ground (2 shared categories, backtesting and quant), so for the basics you won't go far wrong with either. Portfolio Visualizer simply does more: 10 categories to QuantConnect's 6, including monte carlo, correlation, and risk metrics. QuantConnect counters by being completely free.
What readers say
Portfolio Visualizer
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QuantConnect
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Key differences at a glance
- Real-time data
- QuantConnect
- Free trial
- Portfolio Visualizer14 days
- Broader coverage
- Portfolio Visualizer10 vs 6 categories
- Desktop app
- QuantConnect
- API access
- QuantConnect
- Free plan
- Both
What Portfolio Visualizer does best
- Backtest portfolios built from mutual funds, ETFs, stocks, and asset-class allocations.
- Tools for running Monte Carlo simulations to test long-term portfolio growth, withdrawal sustainability, and portfolio survival scenarios.
- Testing tools for tactical asset-allocation models based on moving averages, momentum, market valuation, and target volatility.
- Optimization tools such as Efficient Frontier, Portfolio Optimization, Black-Litterman Model, and Rolling Optimization.
- Analysis of factor exposure with Factor Regression, Risk Factor Allocation, Fund and ETF Factor Regressions, and Factor Performance Attribution.
What QuantConnect does best
- Build strategies on the LEAN engine in Python 3.11 or C#, then run them locally or in QuantConnect cloud infrastructure.
- Run notebook-style research, backtests, and live deployments on the same engine.
- Backtest multi-asset strategies across equities, ETFs, options, futures, FX, CFDs, and crypto where data and broker support are available.
- Options helpers, Greeks, implied volatility, and multi-leg strategy support for strategies such as covered calls, verticals, and iron condors.
- Deploy live or paper strategies through broker integrations including Interactive Brokers, Charles Schwab, TradeStation, tastytrade, Alpaca, Tradier, and crypto venues.
Side by side
Pricing comparison
See for yourself
Side by side
Price, platforms, data, and market coverage.ShowHide
Side by side
| Attribute | ||
|---|---|---|
| Pricing & plans | ||
Starting price | Free • From $360/yr | Free • Contact for pricing |
Free tier | Yes | Yes |
Free trial | 14 days | — |
Plan limits | 6 limits: Free: max assets per portfolio: 15, Free: history: Limited history; pricing snippet says the free tier excludes current... +4 more | 15 limits: Free: backtest nodes: 1, Free: research nodes: 1 +13 more |
| Platforms & access | ||
Web app | Yes | Yes |
Desktop app | No | Yes |
Mobile app | No | No |
API access | No | Yes |
Broker sync | — | Yes |
Integrations | — | Interactive Brokers, Charles Schwab +17 more |
| Audience & fit | ||
Experience level | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Best for | — | — |
Categories covered | 10 | 6 |
Regions | — | North America, Europe, APAC |
| Data & capabilities | ||
Data quality | — | 4 signals: Latency: Streaming, Real-time, and End of Day, Granularity: Tick, Second, Minute, and EOD +2 more |
Capabilities | 7 signals: Universe builder, Factor exposure +5 more | 5 signals: Universe builder, Multi-leg options +3 more |
Security | — | Status page |
| Try it | Visit Portfolio Visualizer | Visit QuantConnect |
Standout features
The best features of Portfolio Visualizer and QuantConnect.ShowHide
Standout features
What Portfolio Visualizer does best
- Backtest portfolios built from mutual funds, ETFs, stocks, and asset-class allocations.
- Tools for running Monte Carlo simulations to test long-term portfolio growth, withdrawal sustainability, and portfolio survival scenarios.
- Testing tools for tactical asset-allocation models based on moving averages, momentum, market valuation, and target volatility.
- Optimization tools such as Efficient Frontier, Portfolio Optimization, Black-Litterman Model, and Rolling Optimization.
- Analysis of factor exposure with Factor Regression, Risk Factor Allocation, Fund and ETF Factor Regressions, and Factor Performance Attribution.
What QuantConnect does best
- Build strategies on the LEAN engine in Python 3.11 or C#, then run them locally or in QuantConnect cloud infrastructure.
- Run notebook-style research, backtests, and live deployments on the same engine.
- Backtest multi-asset strategies across equities, ETFs, options, futures, FX, CFDs, and crypto where data and broker support are available.
- Options helpers, Greeks, implied volatility, and multi-leg strategy support for strategies such as covered calls, verticals, and iron condors.
- Deploy live or paper strategies through broker integrations including Interactive Brokers, Charles Schwab, TradeStation, tastytrade, Alpaca, Tradier, and crypto venues.
All details
Every attribute we track for Portfolio Visualizer and QuantConnect.ShowHide
All details
| Attribute | ||
|---|---|---|
| Coverage & fit | ||
Asset types | StocksETFsMutual FundsFunds | StocksETFsOptionsFuturesCurrenciesCryptos |
Experience | BeginnerIntermediateAdvanced | BeginnerIntermediateAdvanced |
Regions | Not specified | North AmericaEuropeAPAC |
Coverage details | Identifiers: Ticker | Identifiers: Ticker |
| Data | ||
Data freshness | Not specified | StreamingReal-timeEnd of Day |
Data granularity | Not specified | TickSecondMinuteEOD |
| Access & integrations | ||
API protocols | Not specified | REST |
API auth & delivery | Not specified | Auth: APIKeySDKs: PythonWebhooks |
Import methods | CSVManual | Not specified |
Integrations | Not specified | Interactive BrokersCharles SchwabTradeStationTastytradeAlpacaTradierOANDABinance+11 more |
Export formats | ExcelCSVPDF | CSVJSONPDF |
| Plans & trust | ||
Security & compliance | Not specified | Status page |
Capability signals | Universe builderFactor exposureVaR/ESPerformance attributionMonte CarloPortfolio factor exposureCorrelation | Universe builderMulti-leg optionsGreeksStrategy backtests: CoveredCall, Vertical, and IronCondorBroker sync |
Vendor & support | SRL Global Ltd.Country: United Kingdom | QuantConnect CorporationCountry: USFounded 2012Support: Email and Forum |
Curation ratings | Not specified | Methodology 4/5Reliability 4/5UX 4/5 |
Green tags are exclusive to that tool in this comparison.
Pricing
Plans, billing, free trials, and monthly prices.ShowHide
Pricing
| Tier | ||
|---|---|---|
| Free plan | Freemax assets per portfolio: 15 · history: Limited history; pricing snippet says the free tier excludes current... | Freebacktest nodes: 1 · research nodes: 1 · +2 more |
| Entry paid plan | $360/yr≈ $30/mo“Basic”max assets per portfolio: 150 · billing notes: Pricing shown as $/month but billed annually. | Subscription“Quant Researcher”backtest nodes: 2 · live trading nodes: 2 · +1 more |
| Tier 2 | $660/yr≈ $55/mo“Pro”max assets per portfolio: 150 · billing notes: Pricing shown as $/month but billed annually. | Subscription“Team”members: 10 · backtest nodes: 10 · +2 more |
| Top plan | — | Subscription“Trading Firm”members: Unlimited · backtest nodes: Unlimited · +2 more |
| Custom / enterprise | — | Contact sales“Institution” |
| Free trial | 14 days | — |
Questions we keep getting
What's the difference between Portfolio Visualizer and QuantConnect?
Portfolio Visualizer leans toward backtesting, monte carlo, and correlation, while QuantConnect puts more weight on quant, backtesting, and paper trading. They overlap in 2 categories, so for most people it comes down to workflow preference and price.
How much do Portfolio Visualizer and QuantConnect cost?
Good news: both Portfolio Visualizer and QuantConnect have free plans, so you can run them side by side and only pay if you hit a wall.
Does Portfolio Visualizer or QuantConnect have an API?
QuantConnect has an API for programmatic access and custom integrations. Portfolio Visualizer doesn't, so you're working through its interface.
Should I choose Portfolio Visualizer or QuantConnect?
It depends on what you're after. Pick Portfolio Visualizer if monte carlo and correlation matter to you; go with QuantConnect if you'd rather have paper trading and auto-trading & bots. And if you only need the basics both share, let price decide.
What asset classes do Portfolio Visualizer and QuantConnect cover?
Both cover stocks and ETFs. Portfolio Visualizer also handles mutual funds and funds. QuantConnect adds options, futures, and currencies on top.
Does Portfolio Visualizer or QuantConnect have real-time data?
QuantConnect offers real-time data, which matters if you trade actively. Portfolio Visualizer runs on delayed or end-of-day data, which is perfectly fine for longer-term investors who don't live and die by the tick.
Can I export data from Portfolio Visualizer and QuantConnect?
Yes, both export to spreadsheets (CSV), which is handy if you like running your own numbers.
Which has a better stock screener: Portfolio Visualizer or QuantConnect?
Portfolio Visualizer has a stock screener for surfacing ideas; QuantConnect doesn't, and focuses its energy elsewhere.
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This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.