AlgoAgent
  • WHITEPAPER
  • 1. Digital Currency Quantitative Trading
    • 1.1 Quantitative Trading
    • 1.2 Digital currency and quantitative trading are a natural fit
    • 1.3 The prospects for digital currency quantitative trading are enormous
    • 1.4 The current situation of the quantitative trading market
      • 1.4.1 A large number of exchanges, chaotic trading rules
      • 1.4.2 The trading time is excessively long
      • 1.4.3 Extremely Immature Technology Infrastructure
  • 2. AI Agent Quantitative Intelligent Trading
    • 2.1 Artificial intelligence is the trend of the future
    • 2.2 Quantitative intelligent trading of digital currencies using AI Agents will become a trend
  • 3. AlgoAgent
    • 3.1 AlgoAgent Introduction
    • 3.2 AlgoAgent Development History
    • 3.3 Trading strategies and indicators supported by AlgoAgent
    • 3.4 AlgoAgent AI Agent Quantitative Trading Algorithms
      • 3.4.1 Sell-off Detection
      • 3.4.2 Wall Detection
      • 3.4.3 Variable shooting (buying spike kill)
    • 3.5 AlgoAgent Advantages
      • 3.5.1 Full range of management services
      • 3.5.2 Multiple security protections
      • 3.5.3 Asset appreciation
      • 3.5.4 Multi-language support
      • 3.5.5 Simple and convenient transactions
      • 3.5.6 Risk-Free High-Frequency Automated Quantitative Trading of Digital Assets
      • 3.5.7 Convenient Funding
    • 3.6 AlgoAgent Service Carrier
      • 3.6.1 AlgoAgent Intelligent Platform
      • 3.6.2 Digital Asset Bank Card
      • 3.6.3 AlgoAgent Contract Token
  • 4. Tokenomics
  • 5. Roadmap
  • 6. Team Introduction
  • 7. Risk Warning
  • 8. Disclaimer
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  1. 3. AlgoAgent

3.3 Trading strategies and indicators supported by AlgoAgent

AlgoAgent provides a large and continuously growing library of trading strategies for users and creators to browse and use. Users can create trading strategies based on over 200 technical indicators, including popular ones such as:

Relative Strength Index (RSI)

Simple Moving Average Crossover

Exponential Moving Average Crossover

Moving Average Convergence Divergence (MACD)

Bollinger Bands

Average Directional Index (ADX)

Hull Moving Average

Ichimoku

Squeeze Momentum

Money Flow Index (MFI)

AlgoAgent also allows users to create trading strategies based on over 200 on-chain indicators. These indicators analyze bullish and bearish signals from blockchain data, such as exchange flows, flow metrics, market metrics, network metrics, miner flows, and social media and development metrics.

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Last updated 1 month ago