VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Thursday, December 4, 2025

Tool Comparison

QuantConnect vs ValueSense comparison

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

Quick takeaways

QuantConnect adds Paper Trading, Auto-Trading & Bots, Options & Derivatives, and APIs & SDKs coverage that ValueSense skips.

ValueSense includes Stock Ideas, Screeners, Data Visualizations, Money Flow, Watchlist, News, Calendar, Valuation Models, Scores, Transcripts, Insider Data, 13F, Research Templates, Shared Workspaces, AI, and AI Earnings Summary categories that QuantConnect omits.

In depth comparison

QuantConnect

quantconnect.com

QuantConnect runs on the open-source LEAN engine, giving quants and systematic traders a unified workflow from research to backtesting to live deployment. You can run everything locally or in the cloud. Historical data down to tick and second resolution is available on paid tiers, and live-trading notifications scale by plan (from a handful per hour to thousands). Some broker and data feeds—like Trading Technologies futures or premium vendors—are only unlocked at higher tiers.

Platforms

WebDesktopAPI

Pricing

FreeSubscription

Quick highlights

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.
Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON.

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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.

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

QuantConnect

Distinct strengths include:

Paper Trading Auto-Trading & Bots Options & Derivatives APIs & SDKs

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.

ValueSense

Distinct strengths include:

Stock Ideas Screeners Data Visualizations Money Flow Watchlist News Calendar Valuation Models

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	QuantConnect	ValueSense
Categories Which research workflows each platform targets	Shared: Quant, Backtesting Unique: Paper Trading, Auto-Trading & Bots, Options & Derivatives, APIs & SDKs	Shared: Quant, Backtesting Unique: Stock Ideas, Screeners, Data Visualizations, 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, Options, Futures, Currencies, Cryptos	Stocks, ETFs
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web, Desktop, API	Web
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers. Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud. Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX. Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors. Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON. Cloud API and Lean CLI for managing projects, running backtests, deploying live strategies, and pulling reports programmatically.	Unique 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. Stock charting for fundamentals & KPIs with multi‑view layouts; PNG export.
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 QuantConnect and ValueSense both support?

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

Do QuantConnect and ValueSense require subscriptions?

Both QuantConnect and ValueSense keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access QuantConnect and ValueSense?

Both QuantConnect 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?

QuantConnect differentiates itself with Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX., 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..

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