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What is AlgoTest?

AlgoTest is an advanced algorithmic trading platform built to support traders in developing, testing, and automating trading strategies across multiple brokers and markets. In modern financial markets, many traders rely on systematic strategies to remove emotional decision-making and execute trades with precision. AlgoTest provides a unified environment where traders can analyze strategies, validate performance, and automate execution using a range of integrated tools. The platform allows traders to perform backtesting using several years of historical market data to evaluate how strategies would have performed under real market conditions. During backtesting, the system accounts for trading costs such as slippage and brokerage to produce realistic performance results. Traders can also run forward testing, which allows strategies to operate on live market data without placing real trades, enabling users to validate strategy performance before committing capital. Once validated, strategies can be deployed through AlgoTest’s live trading automation, which executes trades directly through integrated broker accounts. The platform supports multiple brokers and allows users to manage and monitor automated strategies from a single dashboard. AlgoTest also provides a no-code strategy builder that enables traders to create algorithmic strategies using indicators, logical conditions, and rule-based triggers without writing code. Traders can connect TradingView alerts or ChartInk scanner signals to trigger automated trades in real time. Additional tools such as trading simulators help users analyze potential market scenarios, risk levels, and capital allocation strategies. By combining backtesting, strategy development, automated execution, and performance analysis in a single platform, AlgoTest enables traders to build systematic trading approaches and manage algorithmic trading operations more efficiently.

What is Algo?

Algo is a retail-focused demand planning platform that helps businesses make faster, smarter supply chain decisions using AI. From forecasting to inventory optimization and pricing, Algo connects your data, teams, and workflows in one intuitive platform — no spreadsheets or disconnected systems required. Built for planners, buyers, and operators, Algo turns real-time data into collaborative plans and actionable insights. Whether you're managing promotions, launching new products, or running S&OP, Algo helps you reduce stockouts, respond to demand shifts, and drive profitable growth. What makes Algo different: - Designed specifically for retail, consumer goods, and distribution - Fast implementation (go live in as little as 16 weeks) - End-to-end support — no third-party integrators - AI you can trust: clear inputs, explainable outputs, continuous learning Trusted by leading retail and CPG brands, Algo gives your planning team the visibility and agility to move faster in today’s dynamic environment.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

₹599
Free Version

Pricing Information

$5,000
Starting monthly cost
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

AlgoTest

Date Founded

2021

Company Location

India

Company Website

algotest.in/

Company Facts

Organization Name

Algo

Date Founded

2016

Company Location

United States

Company Website

www.algo.com

Categories and Features

Algorithmic Trading

Not specified

Categories and Features

Demand Planning

Capacity Planning
Data Visualization
Inventory Optimization
Promotions Management
Replenishment Management
Supply Forecasting

Planogram

Not specified

Supply Chain Planning

Not specified

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