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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Nanoconda serves as a robust trading infrastructure for algorithmic futures traders, proprietary trading firms, systematic funds, and futures commission merchants. It facilitates access to CME markets via a CME-certified gateway located at the Aurora data center, integrating order routing, market data, and pre-trade risk management. Users benefit from a backtesting and market replay simulator to evaluate strategies, while also having the ability to connect their current FIX applications or Sierra Chart, deploying strategies in tandem with the gateway through colocation. The platform accommodates CME-native order types and provides order-by-order market data, along with a web interface designed for monitoring and managing trading activities efficiently. Clients can maintain their existing relationships with futures commission merchants, ensuring continuity in their trading operations. Nanoconda is crafted specifically for teams engaged in the entire lifecycle of automated CME futures strategies, from initial simulation stages to live execution, allowing for seamless transitions and enhanced performance tracking.

Description

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. 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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alpaca No 
Amazon Web Services (AWS) No 
DigitalOcean No 
Docker No 
Google Cloud Platform No 
Microsoft Azure No 
Moonshot No 
NGINX No 
PostgreSQL No 
SQLite No 
Sierra Chart Yes 
Zipline No 

Integrations

Alpaca Yes 
Amazon Web Services (AWS) Yes 
DigitalOcean Yes 
Docker Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Moonshot Yes 
NGINX Yes 
PostgreSQL Yes 
SQLite Yes 
Sierra Chart No 
Zipline Yes 

Pricing Details

$250/3 months
Backtesting Simulator: $250 for a 3-month license. Live trading plans are monthly; pricing and setup charges vary by deployment, and market-data fees may apply.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Nanoconda

Founded

2024

Country

United States

Website

nanoconda.com

Vendor Details

Company Name

QuantRocket

Founded

2018

Country

United States

Website

www.quantrocket.com

Product Features

Algorithmic Trading

2-Click Trading No 
Analyst on Demand No 
Auto Fibs No 
Auto Trend Lines No 
Backtesting No 
Basket Trading No 
Drawing Tools No 
Pattern Tools No 
Stock Screener No 
Trading From Charts No 

Product Features

Algorithmic Trading

2-Click Trading No 
Analyst on Demand No 
Auto Fibs No 
Auto Trend Lines No 
Backtesting Yes 
Basket Trading No 
Drawing Tools No 
Pattern Tools No 
Stock Screener No 
Trading From Charts No 

Alternatives

No Alternatives

Alternatives

Statmetrics Reviews

Statmetrics

5.0 out of 5 stars