Trading Made Easy: Build & Test Strategies Without Coding!

Master Algorithmic Trading – No Programming Required

Module 1: Introduction to Algorithmic Trading

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1. What is Algorithmic Trading?

  • • Definition and basics
    Learn how automated trading systems work without technical complexity
  • • Advantages and limitations
  • • Comparison with manual trading

2. Types of Algorithmic Trading Strategies

  • • Trend-following strategies
    Visual approach to understanding market trends
  • • Mean reversion strategies
  • • Arbitrage strategies
  • • Market-making strategies
  • • Statistical arbitrage

3. Market Participants and Their Roles

  • • Retail traders vs. institutional investors
  • • Role of market makers and high-frequency traders

4. Understanding Financial Markets

  • • Forex, stocks, commodities, and cryptocurrencies
  • • Exchanges and brokers
  • • Order types and execution models

Module 2: Basics of Trading Systems and Indicators

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1. Key Concepts in Trading Systems

  • • Backtesting, forward testing, and paper trading
    Interactive platform demonstrations without coding
  • • Performance metrics: Sharpe ratio, maximum drawdown

2. Essential Technical Indicators

  • • Moving averages, RSI, MACD, Bollinger Bands
    Visual guide to understanding technical indicators
  • • Volume-based indicators: VWAP, OBV
  • • Volatility indicators: ATR, Beta

3. Understanding Timeframes and Charts

  • • Intraday, daily, and weekly strategies
  • • Candlestick patterns and chart types

Module 3: Building Strategies without Coding

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1. Introduction to No-Code Platforms

  • • Overview of popular no-code platforms
    TradingView, QuantConnect, Capitalise.ai platforms walkthrough
  • • Setting up a no-code platform account

2. Creating and Testing Strategies

  • • Step-by-step guide to building basic strategies
    Visual strategy builder tutorials
  • • Defining entry and exit rules using indicators
  • • Backtesting without coding

3. Strategy Optimization

  • • Adjusting parameters for optimal performance
  • • Setting stop-loss and take-profit levels
  • • Applying trailing stops and risk management

Module 4: Risk Management and Position Sizing

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1. Risk Management Fundamentals

  • • Understanding and managing drawdowns
    Visual risk calculator tools
  • • Avoiding over-leveraging

2. Position Sizing Methods

  • • Fixed ratio vs. fixed percentage position sizing
  • • Volatility-based sizing
  • • Kelly Criterion applications

3. Order Management

  • • Using alerts for entry and exit signals
  • • Setting various order types on platforms

Module 5: Advanced Strategies and Optimization

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1. Portfolio Diversification

  • • Diversifying assets and strategies
    Portfolio builder and analyzer tools
  • • Hedging techniques

2. Strategy Combinations

  • • Multi-timeframe analysis
  • • Combining indicators for complex strategies
    Visual strategy composer interface

3. Strategy Evaluation

  • • Performance analysis of results
  • • Optimization techniques and pitfalls
  • • Walk-forward analysis and testing

Module 6: Automation and Real-Time Trading

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1. Automated Execution Setup

  • • Setting up automation rules
    Platform-specific automation guides without coding
  • • Monitoring trades and managing positions

2. Paper Trading Practice

  • • Simulating trades in real-time
    Risk-free practice environment setup
  • • Transitioning to live trading

3. Broker Integration

  • • Broker integration and order management
  • • Executing strategies on no-code platforms

Module 7: Risk and Compliance in Algo Trading

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1. Regulatory Framework

  • • Overview of regulations
    Compliance checklist for algorithmic traders
  • • Ensuring ethical trading practices

2. Common Trading Pitfalls

  • • Over-optimization and curve-fitting
  • • Managing market risks and events

3. Trading Journal Setup

  • • Daily trading checklist development
  • • Trade journal maintenance
    Digital journal templates and tools

Module 8: Case Studies and Practical Applications

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1. Strategy Analysis

  • • Successful strategy case studies
    Real-world trading examples and analysis
  • • Market condition impact analysis

2. Student Projects

  • • Building personal trading strategies
    Hands-on strategy development workshop
  • • Strategy presentations and feedback

3. Future Trends

  • • Emerging technologies in algo trading
  • • AI and ML in trading strategies
    No-code AI integration possibilities
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