Wealth-Lab review (2026)

Wealth-Lab is one of the longest-lived names in retail backtesting. It launched in 2000, was acquired by Fidelity in 2004 (as Wealth-Lab Pro, discontinued in August 2021), then relaunched independently: Wealth-Lab 7 in March 2021, and today's Wealth-Lab 8, rebuilt on .NET Core. Its core strength is genuine portfolio-level simulation. Strategies execute bar-by-bar in sync across an entire symbol universe, which matters for rotation systems and for the position-sizing realism that single-symbol backtesters cannot capture.

Two things stand out against its desktop peers. The first is the dual-mode workflow: drag-and-drop Building Blocks for non-coders, full C#/.NET for everyone else. That gives it one of the gentler on-ramps in the category. The second is the bundled Wealth-Data feed, which includes delisted symbols and historical index membership. It attacks survivorship bias directly, a flaw that quietly inflates results on most retail platforms.

Then the trade-offs. It is Windows-only, the $399.95/year subscription exceeds AmiBroker's one-time license within two years, useful integrations sit behind $49.95 extensions or the $499.95 Premium tier, and subscriptions are explicitly non-refundable. At 7.5 overall it lands just below AmiBroker (7.8) and NinjaTrader (7.7). It is more accessible than AmiBroker and stronger on bias-free bundled data, but weaker on cost value and community size.

Wealth-Lab 8 is a Windows desktop platform for designing, backtesting, optimizing, and auto-trading systematic strategies. The lineage runs deep. Dion Kurczek released the original in 2000, Fidelity acquired it in 2004 and offered Wealth-Lab Pro to its US customers until discontinuing it in August 2021, after which the original team relaunched the product independently. Version 8 is in continuous development and built for Windows 10/11 on .NET Core. There is no Mac, Linux, web, or mobile client.

The platform covers the full workflow in one application: charting, historical data management, strategy development, portfolio backtesting, optimization (including walk-forward and Monte Carlo), and automated order routing to live brokers. Strategy creation follows two tracks. Building Blocks is a drag-and-drop system where entries, exits, indicators, and conditions snap together without code, and most users can run a first backtest quickly. The second track is the built-in C# editor. Because the platform is native .NET, you can also compile custom strategy libraries in any .NET language and work against the documented API. An extensions marketplace adds broker connections, data providers, indicator packs, and tools like the Power Pack, each with its own trial. All of that puts Wealth-Lab closer to an integrated research-and-execution environment than to a pure backtesting library.

The engine is an event-driven portfolio simulator. It processes every symbol in a dataset bar-by-bar in sync, so capital, position sizing, and signal ranking interact the way they would in a real multi-position account. That is the correct architecture for rotation strategies, breadth-based systems, and anything where 'which signal gets filled when cash is limited' drives results, a scenario vectorized or single-symbol tools handle poorly. The backtester is built on .NET Core and uses multi-core CPUs, with attention to each instrument's market hours and to multi-currency portfolios.

Validation tooling is a real strength for the price class. Walk-forward optimization is included natively rather than sold as an add-on, alongside Monte Carlo analysis and 2D/3D optimization surface visualization for spotting fragile parameter islands. Timeframes span tick, second, minute, daily, weekly, monthly, quarterly, and yearly bars with custom multipliers, so intrabar fill logic can be checked against finer data.

Options are supported in an unusual way. The OptionSynthetic API lets you backtest option strategies using synthetic pricing without historical chain data, and the platform documents backtesting and auto-trading options through supported brokers. That is flexible, but it is C#-only and model-based. Synthetic premiums are an approximation, so treat options results as indicative rather than exchange-accurate.

Wealth-Lab's data story is stronger than most desktop backtesters, and one feature explains why. The in-house Wealth-Data provider supplies end-of-day data for supported US indices that includes delisted symbols and automatically adjusts for historical index composition changes. Survivorship bias, meaning tests run only on stocks that still exist today, is one of the most common ways retail backtests overstate returns. Few platforms in this price range address it out of the box.

Beyond Wealth-Data, the platform ships with free daily and intraday data providers for stocks and cryptocurrencies, and the extensions marketplace connects premium feeds and broker data (TradeStation, Schwab, Interactive Brokers, and others), plus a fundamental data extension. Streaming data for live trading comes through the connected broker or exchange.

The caveats are real. Free intraday sources are best-effort rather than institutional-grade, deep tick history generally requires a paid feed, and several data connections are paid extensions at $49.95 each unless you hold the Premium ($499.95/year) or Lifetime plan. The official site does not publish exact history depth per provider, so verify coverage for your universe during the trial. For US equity EOD strategy research, though, the bundled bias-free data is a genuine differentiator versus AmiBroker or MetaTrader, where clean delisted-inclusive data must be sourced and paid for separately.

Current official pricing, verified on the SubscriptionPlans page in August 2026: $49.95/month, $399.95/year (about 33% off monthly), Premium Annual at $499.95/year including all WealthLab-developed extensions, and a Lifetime License at $1,595 that carries Premium-level benefits, perpetual use of your version, and two years of maintenance updates. Maintenance is extendable afterwards at $149.95 per year. Third-party reviews still circulate older $39.95/$299.95 figures; those are out of date.

Without Premium, official extensions run $49.95 each, and each offers its own 14-day trial. Reviews report a 14-day trial for the core platform as well, though the official plans page does not state a length. The refund policy is explicit: subscriptions are non-refundable. Use the trial seriously before paying annually.

Value depends on your horizon. Against AmiBroker (one-time $279-$339 license classes), Wealth-Lab's $399.95/year overtakes it within roughly 15 months, and the Premium tier is effectively required if you need multiple broker or data extensions. The Lifetime option breaks even versus Premium Annual in just over three years, which is reasonable for committed users. Against cloud platforms like QuantConnect, you trade recurring compute-and-data fees for a flat desktop license plus your own data arrangements. Cost-value is Wealth-Lab's weakest score: capable software, priced at the top of its desktop peer group.

Wealth-Lab fits Windows-based swing and position traders building systematic stock, ETF, or crypto strategies at the portfolio level. Rotation and ranking systems benefit most, because survivorship-bias-free index data and synchronized multi-symbol simulation materially change those results. It also suits the coding-curious. Building Blocks delivers real backtests without syntax errors on day one, and the C#/.NET path removes the ceiling later, a smoother progression than AmiBroker's AFL or MQL5 for anyone with .NET exposure.

It is a weaker fit for several groups. Mac and Linux users are excluded outright. High-frequency and latency-sensitive futures scalpers will find better execution tooling in NinjaTrader or dedicated infrastructure. Python-first quants will prefer VectorBT, Backtrader, or QuantConnect, since Wealth-Lab's ecosystem is .NET-only. Serious options traders need real historical chain data, which the synthetic-pricing approach does not replace. And traders wanting a large peer community for code snippets and troubleshooting will find the official forum active but small next to the TradingView or MetaTrader ecosystems.

Decision shortcut: choose Wealth-Lab over AmiBroker if no-code strategy building, bundled bias-free US data, and native broker automation justify a recurring subscription; choose AmiBroker for raw speed and one-time pricing; choose QuantConnect if you want Python, cloud compute, and institutional data without desktop constraints.