Learn Algorithmic Trading
Algorithmic Trading Fundamentals
Master the art of automated trading. Learn to build indicators, create conditions, design strategies, backtest your ideas, and deploy to live markets.
Difficulty: BEGINNER
- Understand the fundamentals of algorithmic trading and how automated systems work
- Build trading indicators using technical, fundamental, and alternative data sources
- Create trading conditions that convert data into actionable buy/sell signals
- Design complete trading strategies combining indicators, conditions, and actions
- Backtest and evaluate strategy performance using industry-standard metrics
- Deploy strategies to live markets with proper risk management
AI Agents from Scratch
A practical, ground-up introduction to AI agents. Understand the ReAct loop, tools, orchestration, memory, and evaluation, then build real agents using NexusTrade's Aurora platform as your lab.
Difficulty: BEGINNER
- Explain the difference between a bare language model, a chatbot, and an AI agent
- Describe the ReAct loop (Thought → Action → Observation) and why it makes agents agentic
- Design tool-calling workflows and understand why tools, function calling, and MCP servers are all the same core concept
- Use autonomy controls (whitelists, approvals) to safely run agents in production
- Connect memory, scheduling, and subagents into a full autonomous workflow
- Build traces and evaluators (including LLM judges) to measure agent quality