Developed Investment and Trading System Plan
- Day: 2024-01-12
- Time: 18:10 to 19:30
- Project: Business
- Workspace: WP 1: Strategic / Growth & Development
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Investment, Trading, Algorithmic Trading, Financial Planning, Python
Description
Session Goal
The session aimed to develop a comprehensive plan for setting up an investment and trading system, focusing on algorithmic trading, financial planning, and capital growth.
Key Activities
- Outlined a five-day plan for investment and trading system setup, covering strategy development, market research, legal compliance, account setup, testing, and monitoring.
- Detailed the user’s investment goals, risk tolerance, and strategies of interest for Day 1, emphasizing algorithmic trading and stock analysis.
- Created a comprehensive investment strategy plan for 2024, including goal setting, risk assessment, and strategy implementation.
- Provided a breakdown of the ‘Setting Foundations’ phase, focusing on financial position assessment, net investable amounts, and risk tolerance.
- Calculated total investment capital for 2024, aligning strategies with risk tolerance.
- Developed Python code for visualizing exponential and linear growth functions of investments over time.
- Discussed strategies for capital growth within a $10-15k range, emphasizing yearly contributions and long-term perspectives.
- Outlined a Python function for projecting investment growth over a 1 to 5-year horizon.
Achievements
- Established a structured plan for setting up an investment and trading system.
- Clarified investment goals and strategies for the upcoming year.
- Developed tools for visualizing and projecting investment growth.
Pending Tasks
- Implement and test the outlined strategies and tools in real-world scenarios.
- Monitor and adjust strategies based on market changes and performance outcomes.
Evidence
- source_file=2024-01-12.sessions.jsonl, line_number=1, event_count=0, session_id=6976ab95438689b07b5af78d8b0e567210f7e2e7809c141f1bbdac547fa0bc68
- event_ids: []