Multi-Time Frame Trend Following Strategy with UT Bot Alerts and Regression Candles for Day and Swing Trading

The Multi-Time Frame (MTF) Trend Following Strategy utilizes UT Bot Alerts and Linear Regression Candles to optimize day and swing trading.

Strategy Setup

Platform: TradingView

Time Frame: 30 minutes or higher

TradingView Indicators

UT Bot Alerts: Configured by QuantNomad with settings (2, 1) or (3, 1).

Linear Regression Candles: Configured with settings (7, 11).

To implement this strategy, display the regression candles on the chart and hide the standard candles using TradingView's hide function.

Trading Rules

Trade Direction

30 or 45-minute time frame: Follow the UT Bot signal from the 4-hour chart. H1, H2, H3, H4 time frames: follow the UT Bot signal from the daily chart.

Multi-Time Frame Trend Following Strategy with UT Bot Alerts and Regression Candles for Day and Swing Trading – TradingView

Buy Signal

A buy signal is triggered by the UT Bot alert.

The candle must close above the designated white line.

Sell Signal

A sell signal is triggered by the UT Bot alert.

The candle must close below the designated white line.

Exiting a Position

Initial Stop Loss: Set at the previous swing high or low.

Profit Target: Minimum risk-reward ratio of 1:1.

The Multi-Time Frame Trend Following Strategy with UT Bot Alerts and Regression Candles provides a structured approach for both day and swing trading. By leveraging the UT Bot Alert for trend signals and Linear Regression Candles for precise entry and exit points, traders can align their trades with prevailing market trends across multiple time frames. This strategy emphasizes disciplined trade execution, incorporating clear rules for signal confirmation, stop loss placement, and profit targets. By adhering to these guidelines, traders can enhance their decision-making process and potentially improve trading outcomes on the TradingView platform.