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What is Blueshift?

Blueshift is a complimentary platform that delivers robust infrastructure for investment research and backtesting tailored for institutional use. Additionally, it supports algorithmic trading capabilities. Recently, the alpha version was released, featuring a rapid backtesting tool that offers comprehensive data across various asset classes and markets. Our team is diligently enhancing the platform to introduce live trading functionalities shortly. By registering now, you can prepare for the future of trading and investment opportunities. Utilize pre-existing Python trading templates for ease of use. Conduct backtesting using over a decade's worth of data for equities in both the Indian and US markets, as well as forex. Automate your trading strategies in real-time market conditions. Our cloud-based backtesting engine provides distinct advantages over traditional desktop applications, enabling swift research capabilities. Users can effortlessly set up, manage, and process data without concerns. Your investment strategies can be crafted within a Python programming environment, allowing for thorough analysis of backtest results to refine your approach. Best of all, this comprehensive service is available to you at no cost, making it an ideal choice for aspiring investors.

What is PyInvesting?

Our backtesting platform is specifically designed for investors eager to improve their decision-making processes. Simply select your preferred financial instruments and provide your strategy specifics. We will thoroughly analyze the data to evaluate the effectiveness of your strategy. The software presents the simulated trades that your strategy would have executed. Additionally, you will receive email updates concerning your active orders and portfolio status. This user-friendly yet powerful platform enables investors to customize, backtest, and implement their investment strategies with remarkable ease. PyInvesting equips investors to make informed decisions grounded in data, appealing to both beginners and seasoned professionals in the investment realm. It encourages users to explore their strategic ideas and portfolio options effortlessly. For those inclined towards quantitative investment analysis, PyInvesting streamlines the experience and amplifies your investment journey. This dynamic tool allows investors to backtest and deploy their strategies without the need for any coding knowledge, ensuring accessibility for all. Furthermore, with PyInvesting, the management and optimization of your investment strategy has reached new heights of efficiency and effectiveness. By leveraging this platform, you can confidently navigate the complexities of the investment landscape.

What is ChartLabs?

ChartLabs presents a comprehensive manual backtesting platform designed specifically for traders who want to assess their strategies' performance before committing real money. The platform's trading environment closely simulates actual market conditions, enabling users to place orders, oversee their positions, and make immediate decisions based on historical data. We source tick data from Dukascopy and carefully refine it for your convenience, addressing issues like spikes, gaps, and outliers that can skew backtesting outcomes—an essential process often neglected by other services. Our platform encompasses a wide range of markets, including forex, indices, cryptocurrencies, and commodities, offering access to historical data spanning up to two decades. Among the key analytics provided are profit factor, maximum drawdown, Sharpe and Sortino ratios, Monte Carlo simulations, and strategy correlation, all of which focus on the crucial metrics favored by seasoned traders. Features include multi-screen charting capabilities, trade tagging, chart snapshots for every trade, training and verification sessions, a full suite of drawing tools, numerous indicators, and handy keyboard shortcuts. We offer a single plan that includes all features, along with a free trial that doesn't require a credit card, allowing traders to explore the full range of ChartLabs' offerings without any upfront financial obligation. By providing such an accessible platform, we empower traders to make informed decisions and enhance their trading skills effectively.

Media

Media

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Integrations Supported

Alpaca
Axis LMS
FXCM
Facebook
Instagram
Python
Telegram
X (Twitter)

Integrations Supported

Alpaca
Axis LMS
FXCM
Facebook
Instagram
Python
Telegram
X (Twitter)

Integrations Supported

Alpaca
Axis LMS
FXCM
Facebook
Instagram
Python
Telegram
X (Twitter)

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

0
Free Trial Offered?
Free Version

Pricing Information

$19.90 per month
Free Trial Offered?
Free Version

Pricing Information

$15/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Blueshift

Date Founded

2010

Company Location

India

Company Website

blueshift.quantinsti.com

Company Facts

Organization Name

PyInvesting

Company Website

pyinvesting.com

Company Facts

Organization Name

ChartLabs

Date Founded

2025

Company Location

Sweden

Company Website

chartlabs.io

Categories and Features

Algorithmic Trading

2-Click Trading
Analyst on Demand
Auto Fibs
Auto Trend Lines
Backtesting
Basket Trading
Drawing Tools
Pattern Tools
Stock Screener
Trading From Charts

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

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