AmiBroker adds Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation, APIs & SDKs, and Auto-Trading & Bots coverage that ValueSense skips.
VOL. XCIV, NO. 247
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Saturday, November 29, 2025
Tool Comparison
AmiBroker vs ValueSense comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
ValueSense includes Stock Ideas, Money Flow, Watchlist, News, Calendar, Valuation Models, Scores, Transcripts, Insider Data, 13F, Research Templates, Shared Workspaces, AI, and AI Earnings Summary categories that AmiBroker omits.
ValueSense keeps a free entry point that AmiBroker lacks.
In depth comparison
AmiBroker
amibroker.com
Windows desktop platform for technical/system research with a fast AFL scripting language, portfolio‑level backtester, walk‑forward testing, Monte Carlo, and extensive optimization. Real‑time capability and instrument coverage depend on the data plug‑ins you use (e.g., IQFeed, eSignal, Interactive Brokers, Norgate Data). Auto‑trading to IB is available via the official interface. Licenses are perpetual with 24 months of updates.
Categories
Platforms
Desktop
Pricing
One-time
Quick highlights
- Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
- Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
- Monte Carlo simulation (custom metrics can drive optimization/WF objective).
- Very fast multi‑threaded optimization with 3D optimization surface visualization.
- Exploration/Scanner to build custom screeners and reports via AFL.
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ValueSense
valuesense.io
ValueSense is a web research platform focused on fundamental equity analysis, intrinsic valuation, KPI/segment data, and AI‑aided earnings summaries. It includes a global stock screener (country/exchange filters), backtest charting, institutional/insider ("smart money") dashboards, a KPI-aware charting studio, and a workspace/public gallery for sharing screeners, charts, dashboards and valuation calculators. Exports include Excel/CSV/PDF and PNG chart images.
Categories
Platforms
Web
Pricing
FreeSubscription
Quick highlights
- Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators.
- AI-powered earnings overviews that summarize transcripts into structured highlights/visuals.
- Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500.
- Smart Money Analysis: institutional (13F) and insider transaction tracking, plus options sentiment indicators.
- KPI & segments data (e.g., product/geo/segment revenue, operating income by segment) with 10+ years of history and quarterly/LTM modes.
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Where they differ
AmiBroker
Distinct strengths include:
- Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
- Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
- Monte Carlo simulation (custom metrics can drive optimization/WF objective).
- Very fast multi‑threaded optimization with 3D optimization surface visualization.
ValueSense
Distinct strengths include:
- Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators.
- AI-powered earnings overviews that summarize transcripts into structured highlights/visuals.
- Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500.
- Smart Money Analysis: institutional (13F) and insider transaction tracking, plus options sentiment indicators.
Feature-by-feature breakdown
| Attribute | AmiBroker | ValueSense |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Quant, Backtesting, Data Visualizations, Screeners Unique: Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation, APIs & SDKs, Auto-Trading & Bots | Shared: Quant, Backtesting, Data Visualizations, Screeners Unique: Stock Ideas, Money Flow, Watchlist, News, Calendar, Valuation Models, Scores, Transcripts, Insider Data, 13F, Research Templates, Shared Workspaces, AI, AI Earnings Summary |
Asset types Supported asset classes and universes | Stocks, ETFs, Mutual Funds, Futures, Currencies | Stocks, ETFs |
Experience levels Who each product is built for | Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Desktop | Web |
Pricing High-level pricing models | One-time | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do AmiBroker and ValueSense both support?
Both platforms cover Quant, Backtesting, Data Visualizations, and Screeners workflows, so you can research those use cases in either tool before digging into the feature differences below.
Which tool offers a free plan?
ValueSense offers a free entry point, while AmiBroker requires a paid subscription. Review the pricing table to see how the paid tiers compare.
How can you access AmiBroker and ValueSense?
Both AmiBroker and ValueSense 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?
AmiBroker differentiates itself with Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore., Walk‑forward testing integrated with optimization; in/out‑of‑sample stats., and Monte Carlo simulation (custom metrics can drive optimization/WF objective)., whereas ValueSense stands out for Intrinsic value suite: DCF, Reverse DCF, Earnings Power Value (EPV), Peter Lynch fair value, and relative value calculators., AI-powered earnings overviews that summarize transcripts into structured highlights/visuals., and Global stock screener with 60+ presets, country & exchange filters, heatmap/scatter visualizations, and a backtesting comparison vs S&P 500..
Keep exploring
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Curation & Accuracy
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.