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Horizon

Paid
★ 11 • Updated Jul 28, 2026, 03:07 AM

Horizon is a trading platform that enables users to build, backtest, and automate AI-driven trading strategies without writing code.

Use Cases ▼
01

Backtest trading strategies on historical data

02

Deploy automated crypto or stock trading bots

03

Set plain-English alerts for earnings, news, or social media

04

Use pre-built templates for popular strategies

05

Monitor multiple brokers from a single interface

06

Access institutional-grade market research

What Problem It Solves ▼

Horizon simplifies the process of creating and deploying automated trading strategies by eliminating the need for programming, data engineering, and complex infrastructure, allowing traders to focus on strategy ideas rather than technical implementation.

Key Features ▼
✓

No-code strategy builder

✓

20 years of historical market data

✓

Direct integration with brokers

✓

Pre-built strategy templates with backtested metrics

✓

Plain-English alerts and notifications

Overview

Horizon is a trading platform that enables users to build, backtest, and automate AI-driven trading strategies without writing code. It provides access to 20 years of historical market data across multiple asset classes including stocks and cryptocurrencies. Users can describe trade ideas in plain English, set dynamic alerts based on market conditions, and deploy automated strategies directly to supported brokers. The platform includes pre-built strategy templates with performance metrics like CAGR, Sharpe ratio, and maximum drawdown, making it easy for both novice and experienced traders to get started quickly. By integrating research, backtesting, and live execution in one system, Horizon aims to reduce the emotional and technical barriers often associated with quantitative trading.

Pros & Cons

Pros

+

No-code strategy builder

+

20 years of historical market data

+

Direct integration with brokers

+

Pre-built strategy templates with backtested metrics

+

Plain-English alerts and notifications

Cons

−

Paid plans may not suit all budgets

−

Limited to supported brokers and venues

−

Platform dependency can pose a single point of failure

−

Backtested performance may not reflect live trading results

−

Less flexibility for advanced quantitative customization

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