The NEW RSI Breakthrough: A Game-Changing Trading Strategy

Compute RSI gain and loss by subtracting the previous close from the current close to identify gains and losses, and plot them with a zero level.

Calculate the average gain by taking max(gain_loss, zero), plot a green gain line, and use a 14-period moving average to compute the average gain; next video covers the average loss.

Compute the loss as a positive value using minus, math.min, and absolute value, then plot it with the average gain. Establish the RSI baseline with average gain and average loss.

Identify trend by comparing average gain to average loss and visualize it with a green or red background overlay, highlighting potential entry signals.

Confirm the trend using the 200 ema as a trend indicator, combining ema trend and gain loss trend to flag uptrends and downtrends with green or red backgrounds.

Create initial entry triggers for long and short trades by detecting trend reversals, plotting buy and sell signals with green and red markers.

Refine the gain and loss function to produce a more robust RSI by averaging gains and losses across candle parts and showing an underlay indicator.

Continue computing the RSI using one plus average gain divided by average loss, compute RSI as 100 minus that value, and show a smoother RSI versus the built-in version.

Clean up the charting workflow by adding inputs for RSI, trend, and gain/loss, and plot RSI, EMA, candles with open, high, low, and close, plus average gain/loss with color logic.

Replace ema length with ma length and build selectable trend indicators using sma, alma, hma, and median, plus keltner channels, to create a flexible trend analysis tool.

Integrate a supertrend into the trend indicator by replacing ema with pre trend, configure factor and atr period inputs, and drive color-coded signals from direction and gain/loss context.

Learn how to add and configure the parabolic SAR in a trading strategy, including setting start, increment, and max values, plotting with dots, and organizing indicators into groups.

We implement bearish divergence by coding pivot highs around the RSI, with configurable bars left and right, and track past pivots to compare highs.

Learn to detect bearish divergence by comparing RSI pivots to corresponding price pivots. Create variables for higher high and lower high to track these conditions.

Learn how to identify bullish divergence using the RSI, pivot low levels, and comparative RSI values across bars; this lesson also covers bullish hidden divergence and color signaling.