NEW Artificial Intelligence BUY/SELL Trading Bot Makes 1170% Profit ( FULL TUTORIAL )

Summary

This tutorial presents a step-by-step guide for creating a high-performance trading strategy using indicators on TradingView, particularly for scalping cryptocurrencies like Ethereum on short time frames. With an impressive 80% win rate and a potential return exceeding 1,000% within 30 days using leverage, the strategy incorporates a GChannel trend detection and an EMA filter. Viewers learn how to automate the strategy into a trading bot on Pionex, maximizing passive income opportunities. The video caters to both beginners and experienced traders, promising a simplified yet effective approach to trading.

Takeaways

• 😀 A trading strategy with an 80% win rate can be created using indicators like GChannel Trend Detection and Exponential Moving Average.
• 📈 This strategy is particularly effective for scalping cryptocurrencies on short time frames (1, 3, and 5 minutes).
• 💰 The algorithm demonstrated a potential return of 240% per month when leveraging 5 to 1, translating to over 1,000% profit in 30 days.
• 🔄 The entry signals for trades depend on specific conditions involving the GChannel indicator and the EMA.
• ⚖️ The strategy allows for contrarian trading approaches, emphasizing buying below the EMA in lower time frames for better results.
• 🛠️ ChatGPT can be used to code the trading strategy quickly by providing the necessary indicator scripts and rules.
• 📊 Users can analyze strategy performance in TradingView using metrics such as win rate, profit factor, and maximum drawdown.
• 🧩 Advanced money management can be integrated using the Average True Range (ATR) for setting stop losses and take profits.
• 🤖 Automation of the trading strategy can be achieved by creating a signal bot on Pionex, linking it with TradingView alerts.
• 📚 Users are encouraged to explore pre-built trading bots on Pionex if creating a custom strategy seems complex.

Q & A

What is the primary goal of the trading strategy discussed in the video?

The primary goal is to create a trading strategy for scalping cryptocurrencies on short time frames that achieves a high win rate and significant returns.

Which two indicators are used in this trading strategy?

The strategy uses the Gchannel Trend Detection indicator and an Exponential Moving Average (EMA).

What are the time frames recommended for this scalping strategy?

The recommended time frames for this scalping strategy are 1, 3, and 5 minutes.

How does the strategy determine when to enter long trades?

A long trade is executed when the Gchannel produces a Buy signal and the closing price at that time is below the EMA.

What is the reasoning behind buying below the EMA?

The author suggests that buying below the 200 EMA can be risky, but for short time frames, this approach has proven to yield better results than higher time frames.

What performance metrics can be evaluated in the strategy tester?

The strategy tester allows evaluation of metrics such as win rate, profit factor, and maximum drawdown.

What adjustments can be made to the indicator settings for better performance?

Users can modify the lengths of the Gchannel and EMA indicators based on backtesting results, with specific suggestions like setting the Gchannel length to five and the EMA length to 200.

How can the strategy be automated using Pionex?

To automate the strategy, one must register on Pionex, create a Signal Bot, configure trading parameters, and set up Trading View alerts with the webhook URL from Pionex.

What is the recommended method for managing risk in this strategy?

The strategy suggests using Average True Range (ATR) for setting stop-loss and take-profit levels, recommending 2 ATR for stop loss and 4 ATR for take profit.

What should viewers do if they find the tutorial helpful?

Viewers are encouraged to like the video and share it with friends, and the creator hints at providing additional resources if the video reaches a specific engagement milestone.