Example input:

Buy, RSI below 100. Sell, RSI above 190, period optimization, and 1 year historical data.

Example output:

Here is an example code in Pine Script for implementing a trading strategy based on the RSI indicator in TradingView:

scss
//@version=5
strategy(“RSI Trading Strategy”, overlay=true)

// RSI indicator with a period of 14
rsiValue = rsi(close, 14)

// Buy when RSI is below 100 and sell when it is above 190
buyCondition = rsiValue < 100
sellCondition = rsiValue > 190

// Buy and sell orders
if (buyCondition)
strategy.entry(“Buy”, strategy.long)
if (sellCondition)
strategy.entry(“Sell”, strategy.short)

// Strategy performance summary
strategy.summary(“RSI Trading Strategy”)

This code defines a trading strategy that buys when the RSI is below 100 and sells when it is above 190. It uses a 14-period RSI indicator, which is calculated using the rsi() function in TradingView.

The buyCondition and sellCondition variables define the conditions for buying and selling, respectively, based on the RSI value. If the RSI is below 100, the buyCondition is true and a buy order is executed using the strategy.entry() function with the strategy.long argument. Similarly, if the RSI is above 190, the sellCondition is true and a sell order is executed using the strategy.entry() function with the strategy.short argument.

The strategy.summary() function is used to provide a summary of the strategy’s performance, including the total number of trades, the percentage of winning trades, and the profit factor.

To backtest this strategy in TradingView, simply apply the code to a chart with at least 1 year of historical data and click on the “Add Strategy” button. You can then adjust the settings of the strategy, such as the initial capital, stop loss, and take profit levels, before running the backtest.

The performance of this strategy will depend on the market conditions and the specific assets being traded. Therefore, it is important to conduct thorough backtesting and to adjust the strategy parameters as needed.