endorsedOngoing

Intraday Stock Pattern Detection Platform for Algo Harmonic

Services Covered:

Custom Software Development

Industry

Financial Services

Duration

103 months

Budget

10K - 49K

Start Date

1 January 2018

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

77/100

Good

Project Capability Score (PCS) estimates how capable SDLC Corp is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Algo Harmonic

Noida, India

Project Summary

SDLC Corp developed an AI-based stock pattern detection product for Algo Harmonic using React and Node.js that generates intraday alerts. The delivered solution achieved a reported 90% accuracy and satisfied end users; the engagement used Agile processes and tools such as Jira, Freedcamp, and Slack.

Key Challenges

Implement an AI algorithm to generate intraday alerts for Equity, Nifty, Bank Nifty, and Commodity (MCX) with entry, target, and stop-loss.

Project Deliverables

Product developed using React and Node
AI algorithm generating intraday alerts with entry, target, and stop-loss
Support for Equity, Nifty, Bank Nifty, and Commodity (MCX) markets

Project Solution

SDLC Corp developed the client's product using React and Node.js and completed the project in six months. The vendor provided a small team (about four developers plus a product manager) and implemented the features required to generate intraday alerts across multiple markets. The client selected SDLC because the vendor had developed a similar product previously.

Project Outcome

High accuracy rate of 90% leading to satisfied customers.
Agile sprints completed on time; used Jira, Freedcamp, and Slack for collaboration.
Supportive team that accommodated multiple change requests.

Platforms

AI/ML Platform

Tech Stack

React.js
Node.js

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“SDLC Corp delivered a solution with a high accuracy rate of 90%, making the client and end-users extremely happy and satisfied. During the engagement, the team used agile methodology and completed tasks on time. They were completely supportive and understanding of what the client wanted.”
Aarti Doharey
CEO
Date: 06/18/2021