VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View Portfolio123 View QuantConnect Back to Home

Head-to-head

Portfolio123 vs QuantConnect comparison

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

Quick takeaways

Portfolio123 adds Screeners, Portfolio, Correlation, Calendar, Data APIs, Broker Connectors, and Data Visualizations coverage that QuantConnect skips.

QuantConnect includes Paper Trading, Auto-Trading & Bots, and Options & Derivatives categories that Portfolio123 omits.

Portfolio123 highlights: Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry., Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging..

QuantConnect is known for: 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..

Portfolio123

portfolio123.com

Editor’s pick Hands-on review

Quant research and live-deployment platform with point-in-time fundamentals and estimates. Users can screen, backtest, and simulate strategies, then deploy them live with broker integrations. Supports API access and a no-code desktop DataMiner. FactSet or S&P Compustat licenses are required for full historical fundamentals.

Platforms

Web

Desktop

API

Pricing

Free

Subscription

Quick highlights

Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
‘Books’ feature to combine multiple strategies and view correlations between them.
Point-in-time fundamentals, estimates, and corporate actions with dividends handled on ex/pay dates (no survivorship bias or look-ahead).

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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

Web

Desktop

API

Pricing

Free

Subscription

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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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Quant, Backtesting, and APIs & SDKs.

Where they differ

Portfolio123

Distinct strengths include:

Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
‘Books’ feature to combine multiple strategies and view correlations between them.

QuantConnect

Distinct strengths include:

Paper Trading

Auto-Trading & Bots

Options & Derivatives

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.

Feature-by-feature breakdown

Attribute	Portfolio123	QuantConnect
Categories Which research workflows each platform targets	Shared: Quant, Backtesting, APIs & SDKs Unique: Screeners, Portfolio, Correlation, Calendar, Data APIs, Broker Connectors, Data Visualizations	Shared: Quant, Backtesting, APIs & SDKs Unique: Paper Trading, Auto-Trading & Bots, Options & Derivatives
Asset types Supported asset classes and universes	Stocks, ETFs	Stocks, ETFs, Options, Futures, Currencies, Cryptos
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, Desktop, API
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry. Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data. Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging. ‘Books’ feature to combine multiple strategies and view correlations between them. Point-in-time fundamentals, estimates, and corporate actions with dividends handled on ex/pay dates (no survivorship bias or look-ahead). Coverage of 15,000+ equities in the U.S., Canada, and Europe, including delisted stocks and spinoffs.	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.
Tested Verified by hands-on testing inside Find My Moat	Yes	Not yet
Editor pick Featured inside curated shortlists	Highlighted	Standard listing

Frequently Asked Questions

Which workflows do Portfolio123 and QuantConnect both support?

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

Do Portfolio123 and QuantConnect require subscriptions?

Both Portfolio123 and QuantConnect keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access Portfolio123 and QuantConnect?

Both Portfolio123 and QuantConnect 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?

Portfolio123 differentiates itself with Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry., Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging., whereas QuantConnect stands out for 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..

Keep exploring

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