Related Products
|
||||||
About
QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.
|
About
Backtesting lets you look at your strategies on chronicled information to decide how well it would have worked in the past. If you've created a technique with which you're prepared to go live, the Backtesting highlight will assist you in getting it in the event that your strategies are reasonable and possibly effective. Stockmock offers same-week and same-month data to backtest on any given date. We may include next week/next month's data to backtest as well. We are here to serve you in the best possible way. Do let us know your feedback or your query. We are happy to help you always. You can create your strategy using Nifty/Banknifty, futures/options, call/put, buy/sell, strike price, premium range, lot size, stop loss/target profit, entry/exit time, etc. Start your backtesting here. Users can report issues through the mail. Every feature can be accessed with free credits.
|
|||||
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Quantitative Traders and Investors
|
Audience
Companies seeking a solution to backtest their strategies on chronicled information
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
|
|||||
Company InformationQuantRocket
Founded: 2018
United States
www.quantrocket.com
|
Company InformationStockMock
India
www.stockmock.in/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
Categories |
Categories |
|||||
Algorithmic Trading Features
2-Click Trading
Not Supported
Analyst on Demand
Not Supported
Auto Fibs
Not Supported
Auto Trend Lines
Not Supported
Backtesting
Supported
Basket Trading
Not Supported
Drawing Tools
Not Supported
Pattern Tools
Not Supported
Stock Screener
Not Supported
Trading From Charts
Not Supported
|
||||||
Integrations
Alpaca
Supported
Amazon Web Services (AWS)
Supported
DigitalOcean
Supported
Docker
Supported
Google Cloud Platform
Supported
Microsoft Azure
Supported
Moonshot
Supported
NGINX
Supported
PostgreSQL
Supported
SQLite
Supported
|
Integrations
Alpaca
Not Supported
Amazon Web Services (AWS)
Not Supported
DigitalOcean
Not Supported
Docker
Not Supported
Google Cloud Platform
Not Supported
Microsoft Azure
Not Supported
Moonshot
Not Supported
NGINX
Not Supported
PostgreSQL
Not Supported
SQLite
Not Supported
|
|||||
|
|
|