1. Introduction
Sage Stone Securities is seeking proposals from qualified firms or individuals for the development of an advanced trading algorithm and a comprehensive testing tool. This project aims to optimize trading strategies in small-cap stock markets, leveraging weekly breakout stock picks from a subscribed service.

2. Project Overview
The project involves two main components:

Trading Algorithm Development: Design and implement an algorithm that automatically executes trades using signals from weekly stock picks.
Testing Tool Development: Create a tool for backtesting and applying technical indicators to optimize entry and exit points in small-cap stocks.

3. Scope of Work
Algorithm Specification: The algorithm should integrate with Interactive Brokers (or recommend an alternative) for trade execution.
Backtesting and Analysis: The tool must include functionalities for historical data analysis, incorporating various technical indicators.
High-Frequency Trading Consultation: Expertise in high-frequency trading is required to assess the suitability of platforms for quick execution in less liquid small-cap markets.
Platform Evaluation: Evaluate whether Interactive Brokers or another platform is more suitable for the project’s goals.

4. Proposal Requirements
Respondents must submit the following:

Technical Approach: Outline your approach to developing the trading algorithm and testing tool.
Experience and Qualifications: Detail your experience with trading algorithms, backtesting tools, and high-frequency trading.
Initial Consultation Plan: Propose a methodology for the initial consultation phase to determine the best approach.
Project Timeline: Provide an estimated timeline for the project.
Budget and Pricing: Include a detailed budget breakdown.

5. Evaluation Criteria
Proposals will be evaluated based on:

Relevance of Experience: Prior work in developing trading algorithms and testing tools.
Technical Capability: Ability to meet the technical requirements.
Innovativeness: Creativity and effectiveness of the proposed solution.
Cost-Effectiveness: Overall value of the proposal in terms of cost.

Posted On: January 29, 2024 03:09 UTC
Category: Scripting & Automation
Skills:API Integration, Python, C++, Algorithm Development

Country: United States

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