2026 ranking
10 Best Monte Carlo Simulation Tools for Investors
The 10 best Monte Carlo simulation tools for investors in 2026, ranked on simulation rigor, asset modeling, retirement planning and price.
Monte Carlo simulation answers a question deterministic models cannot: given the range of plausible futures, what is the distribution of outcomes? For retirement planning it tells you survival probability. For trading it tells you the distribution of strategy drawdowns. For single-stock analysis it tells you the range of fair values consistent with your inputs.
Most retail tools that advertise Monte Carlo do something simpler than the name implies. We weighted real path generation, distribution modeling (lognormal vs fat-tailed), correlation handling and the number of trials. Toy Monte Carlos with 100 paths and Gaussian returns got downranked.
Below are the ten tools we believe do Monte Carlo seriously, ordered by how rigorously they implement it.
1. Portfolio Visualizer
Portfolio Visualizer is the most credible free Monte Carlo tool for retirement and portfolio planning. Multiple distribution choices, withdrawal modeling, inflation handling and rich output.
Key strengths
- •Multiple return distribution options
- •Configurable withdrawal strategies
- •Inflation-adjusted simulations
- •Free for most use cases
- •Deep portfolio analytics around the simulation
Price
Free; Premium ~$30/mo
Best for
Retirement planners and portfolio-level Monte Carlo work without budget.
2. ARIA AnalystOur platform
ARIA Analyst runs Monte Carlo simulation (10,000 paths) on every analyzed ticker as part of its scoring pipeline. The simulation feeds the risk and Kelly modules rather than living as a standalone tab.
Key strengths
- •10,000-path Monte Carlo on every analyzed asset
- •Fat-tailed distribution support
- •Outputs feed Kelly criterion and risk scoring
- •Multi-asset (stocks, crypto, forex, commodities)
- •Free tier with three full analyses per day
Price
Free; Pro 19 EUR/mo; Premium 49 EUR/mo
Best for
Investors who want Monte Carlo as a default part of every analysis, not a separate workflow.
3. Boldin (formerly NewRetirement)
Boldin is the most comprehensive retail retirement planner. Its Monte Carlo is competent and integrated into a broader planning framework that covers tax, Social Security and account types.
Key strengths
- •Comprehensive retirement planning
- •Monte Carlo across multi-account portfolios
- •Tax-aware withdrawal modeling
- •Roth conversion and Social Security planning
Price
Free tier; Premium ~$120/yr
Best for
Pre-retirees who need Monte Carlo embedded in a full retirement plan.
4. Right Capital
Right Capital is advisor-focused but increasingly available through firms. Strong Monte Carlo, tax projections and rich client-facing visualization.
Key strengths
- •Strong Monte Carlo engine
- •Tax projection module
- •Goal-based planning
- •Advisor-grade UX
Price
Through advisor; not retail-direct
Best for
Investors working with an advisor who uses Right Capital.
5. eMoney Advisor
eMoney is one of the dominant advisor planning platforms and includes serious Monte Carlo. Like Right Capital, it is generally accessed through an advisor.
Key strengths
- •Industry-standard advisor planning
- •Robust Monte Carlo
- •Cash flow analysis
- •Client portal
Price
Through advisor; not retail-direct
Best for
Investors working with an advisor who uses eMoney.
6. Personal Capital / Empower Retirement Planner
Empower's free retirement planner runs Monte Carlo across linked accounts. Less granular than Boldin or Portfolio Visualizer but very approachable, and free.
Key strengths
- •Free with linked accounts
- •Approachable UX
- •Account aggregation
- •Decent Monte Carlo for the price
Price
Free
Best for
Retail investors who want a free retirement Monte Carlo with minimal setup.
7. cFIREsim
cFIREsim is the open-source historical simulator favored in the FIRE community. Strictly historical (not full Monte Carlo) but uses real historical sequences which has its own analytical merit.
Key strengths
- •Free and open source
- •Historical sequence simulation
- •Flexible withdrawal strategies
- •Loyal FIRE community
Price
Free
Best for
FIRE-oriented investors who want historical sequence analysis.
8. FIRECalc
FIRECalc is the original historical simulator for retirement. Less flexible than cFIREsim but quick to run and free.
Key strengths
- •Free historical simulation
- •Quick to use
- •Multiple analysis variants
- •Long-standing community trust
Price
Free
Best for
Quick retirement sanity checks based on historical data.
9. QuantConnect
QuantConnect supports Monte Carlo on strategy outcomes inside a research environment. Python-based, more for systematic trading research than personal financial planning.
Key strengths
- •Python-based Monte Carlo on strategy returns
- •Walk-forward + Monte Carlo combinations
- •Quality data and institutional methodology
- •Free tier
Price
Free tier; Researcher ~$20/mo
Best for
Quant developers who want Monte Carlo on strategy returns rather than retirement.
10. Risk Solver / @RISK (Excel)
Microsoft Excel plus a Monte Carlo add-in (Risk Solver, @RISK or Crystal Ball) remains a credible serious Monte Carlo workflow for analysts comfortable building their own models.
Key strengths
- •Maximum modeling flexibility
- •Industry-standard add-ins
- •Lives inside familiar Excel
- •Strong distribution and correlation support
Price
@RISK from ~$1,995/yr; alternatives lower
Best for
Analysts who model in Excel and want a serious Monte Carlo add-in.
How we ranked these
We weighted distribution rigor (lognormal, fat-tailed, configurable), number of paths, correlation handling, treatment of inflation and taxes, and how the Monte Carlo output integrates with downstream decisions. Toy simulations got downranked even when they had pretty UIs.
Portfolio Visualizer is #1 because it delivers serious Monte Carlo to retail at zero cost, with multiple distributions and good withdrawal modeling. ARIA Analyst is #2 because it bakes Monte Carlo into every analysis as a default rather than a separate workflow, but Portfolio Visualizer remains the deeper purpose-built tool for retirement-style Monte Carlo questions.
Frequently asked questions
What is the best free Monte Carlo investing tool?+
Portfolio Visualizer is the strongest free Monte Carlo tool for retirement and portfolio analysis. cFIREsim and FIRECalc are excellent for historical-sequence retirement testing. Empower's free retirement planner runs Monte Carlo with minimal setup.
How many Monte Carlo paths are enough?+
For most retail use cases, 1,000-10,000 paths produce stable distribution statistics. ARIA Analyst defaults to 10,000 paths per analysis. Below 500 paths the tails get unreliable, especially for fat-tailed return distributions.
Does Monte Carlo predict the future?+
No. Monte Carlo describes a distribution of plausible futures given your assumptions. The output is only as good as the input assumptions about returns, volatility and correlation. Stress-test your assumptions before trusting the tails.
Should I use historical or Monte Carlo simulation for retirement?+
Both have value. Historical-sequence tools (cFIREsim, FIRECalc) capture real fat tails that often get smoothed in Gaussian Monte Carlo. Pure Monte Carlo gives more flexibility around assumptions. The strongest approach is to run both and look at the overlap.
Is Monte Carlo useful for individual stock analysis?+
Yes. Monte Carlo on a single stock can map the range of fair values consistent with your input assumptions (revenue growth, margin, multiple). ARIA Analyst does this automatically on every analyzed ticker. The result is more useful than a point estimate for sizing decisions.
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