Here are some intraday trading methods for cryptocurrencies that rely on mathematical models and price data rather than constant chart watching:

1. Mean Reversion Trading

This strategy is based on the concept that prices will revert to their mean or average value over time. Here’s how you can implement it:

• Identify the mean price: Calculate the moving average (e.g., 20-period or 50-period).
• Set thresholds: Determine how far the price needs to move away from the mean before taking action.
• Buy and sell signals:
  • Buy: When the price falls below the lower threshold.
  • Sell: When the price rises above the upper threshold.

2. Arbitrage Trading

This involves taking advantage of price discrepancies between different exchanges.

• Monitor prices: Use a program to constantly check prices of a particular cryptocurrency across multiple exchanges.
• Execute trades: Buy on the exchange where the price is lower and sell where the price is higher, pocketing the difference.

3. Statistical Arbitrage

This strategy involves creating a portfolio of cryptocurrencies that statistically tend to revert to a certain relationship over time.

• Identify pairs: Use statistical methods like cointegration to find pairs of cryptocurrencies that have a stable long-term relationship.
• Trade deviations: When the relationship deviates, trade to profit from the reversion.

4. Grid Trading

This strategy involves placing buy and sell orders at regular intervals above and below a set price.

• Set up a grid: Determine the levels at which you will place buy and sell orders.
• Automate: Use a trading bot to place and execute these orders based on the pre-defined grid.

5. Algorithmic Trading

Using algorithms to execute trades based on predetermined criteria.

• Develop an algorithm: Create a set of rules based on historical data and backtesting.
• Automate trades: Use a trading bot or algorithmic trading platform to execute trades automatically when criteria are met.

6. Quantitative Models

These involve using mathematical models to predict price movements.

• Data analysis: Use historical price data to develop a model.
• Backtesting: Test the model on historical data to ensure its validity.
• Implementation: Use the model to make trading decisions and execute trades automatically.

7. Moving Average Crossover

A simple strategy using moving averages to signal buy and sell points.

• Short-term and long-term MAs: Calculate a short-term and a long-term moving average (e.g., 50-day and 200-day).
• Buy signal: When the short-term MA crosses above the long-term MA.
• Sell signal: When the short-term MA crosses below the long-term MA.

8. Pairs Trading

This involves trading two correlated cryptocurrencies.

• Identify pairs: Find two cryptocurrencies that are highly correlated.
• Trade on divergence: When the correlation breaks, sell the outperforming cryptocurrency and buy the underperforming one, expecting them to revert to their mean correlation.

9. Fibonacci Retracement

Using Fibonacci levels to identify potential support and resistance levels.

• Identify recent high and low: Determine the high and low points on the chart.
• Apply Fibonacci levels: Use the Fibonacci retracement tool to draw levels between the high and low.
• Trade levels: Place buy orders at Fibonacci support levels and sell orders at Fibonacci resistance levels.

10. Mathematical Indicators

Using indicators like RSI, MACD, or Bollinger Bands to generate signals.

• RSI (Relative Strength Index): Buy when RSI is below 30 (oversold) and sell when RSI is above 70 (overbought).
• MACD (Moving Average Convergence Divergence): Buy when MACD line crosses above the signal line and sell when it crosses below.
• Bollinger Bands: Buy when the price touches the lower band and sell when it touches the upper band.

Automation and Tools

To effectively trade using these methods without constantly watching the charts, you can use automated trading tools and platforms like:

• Trading bots: MQL5 and product Crypto Charting and  Binance EA Connector allow you to automate these strategies.
• Custom scripts: Write custom scripts using programming languages like Python and libraries like Binance EA Connector to interact with exchange APIs.
• Backtesting tools: Use tools like Crypto Charting for loading charts , or custom Python scripts to backtest your strategies.

By using these mathematical and algorithmic methods, you can execute trades based on pre-defined criteria, reducing the need to constantly monitor charts.

Disclaimer : These ideas of strategies are for educational purpose only and is not a financial advise.