Description
The RSI Daily Essentials Pack provides a focused selection of prebuilt spreadsheets designed specifically for backtesting with 1D (daily) timeframe. Like the RSI 1D Pro Pack, this version includes a variety of RSI-based trading strategies but does not feature the automated optimization tool or support for intraday timeframes. You can manually optimize the strategy parameters, while the pack’s user-friendly design requires only basic Excel skills. Detailed performance metrics such as AYR, Maximum Drawdown, Sharpe Ratio and 15 more metrics allow for in-depth analysis and improvement of your trading strategies.
For more details, see the tutorial video below.
See Tutorial
Content of the RSI 1D Essentials Pack
# | File Name | Strategy Description |
---|---|---|
1 | 2EMAcross RSI Long | This trading strategy aims to capitalize on upward price movements by entering long trades when a short-term EMA crosses above a long-term EMA, indicating a positive trend, and exiting when the trend weakens or the asset becomes overbought according to the Relative Strength Index (RSI). |
2 | 2EMAcross RSI Short | This trading strategy aims to capitalize on downward price movements by entering short trades when a short-term EMA crosses below a long-term EMA, indicating a negative trend, and exiting when the trend weakens or the asset becomes oversold according to the Relative Strength Index (RSI). |
3 | BollingerBands-of-RSIcross (ver1) Long | The trading strategy aims to capitalize on short-term price reversals by entering long trades when the Relative Strength Index (RSI) crosses below the lower band of its Bollinger Bands, provided the price is above a long-term Exponential Moving Average (EMA). The trade is exited on the next bar. The strategy is designed for a 1-day timeframe. |
4 | BollingerBands-of-RSIcross (ver1) Short | The trading strategy aims to capitalize on short-term price reversals by entering short trades when the Relative Strength Index (RSI) crosses above the upper band of its Bollinger Bands, provided the price is below a long-term Exponential Moving Average (EMA). The trade is exited on the next bar. The strategy is designed for a 1-day timeframe. |
5 | BollingerBands-of-RSIcross (ver2) Long | The trading strategy aims to capitalize on short-term price reversals by entering long trades when the Relative Strength Index (RSI) crosses below the lower band of its Bollinger Bands, provided the price is above a long-term Exponential Moving Average (EMA). The trade is exited when the RSI is back inside the Bollinger Bands channel or if a stop loss is triggered. The strategy is designed for a 1-day timeframe. |
6 | BollingerBands-of-RSIcross (ver2) Short | The trading strategy aims to capitalize on short-term price reversals by entering short trades when the Relative Strength Index (RSI) crosses above the upper band of its Bollinger Bands, provided the price is below a long-term Exponential Moving Average (EMA). The trade is exited when the RSI is back inside the Bollinger Bands channel or if a stop loss is triggered. The strategy is designed for a 1-day timeframe. |
7 | Connors-2P-RSI wSL Long | This strategy is a variant of the Connors 2-period RSI strategy, with the addition of a stop loss for enhanced risk management. The strategy aims to capitalize on short-term price reversals in a mean reversion context by entering long trades when the Relative Strength Index (RSI) drops below a low threshold. It includes a trend filter to ensure entries are made only when the price is above the 200-period Simple Moving Average (SMA), indicating a bullish trend. Trades are exited when the price rises above a short-term SMA, or if the stop loss is triggered. |
8 | Connors-2P-RSI wSL Short | This strategy is a variant of the Connors 2-period RSI strategy, incorporating a stop loss for better risk management. The strategy aims to capitalize on short-term price reversals in a mean reversion context by entering short trades when the Relative Strength Index (RSI) rises above a high threshold. A trend filter is applied to ensure entries are made only when the price is below the 200-period Simple Moving Average (SMA), indicating a bearish trend. Trades are exited when the price falls below a short-term SMA or if the stop loss is triggered. |
9 | EMA RSI Long | This trading strategy aims to capitalize on upward price movements by entering long trades when a moving average indicates a positive trend and exiting when the trend weakens or the asset becomes overbought according to the Relative Strength Index (RSI). |
10 | EMA RSI Short | This trading strategy aims to capitalize on downward price movements by entering short trades when a moving average indicates a negative trend and exiting when the trend weakens or the asset becomes oversold according to the Relative Strength Index (RSI). |
11 | SMA RSI Long | This trading strategy aims to capitalize on upward price movements by entering long trades when a moving average indicates a positive trend and exiting when the trend weakens or the asset becomes overbought according to the Relative Strength Index (RSI). |
12 | ESMA RSI Short | This trading strategy aims to capitalize on downward price movements by entering short trades when a moving average indicates a negative trend and exiting when the trend weakens or the asset becomes oversold according to the Relative Strength Index (RSI). |
13 | SMAofRSIcross EMAtrend-filter Long | The trading strategy aims to capitalize on upward price movements by entering long trades when the Relative Strength Index (RSI) indicates a bullish crossover with its Simple Moving Average (SMA), and exiting when the RSI indicates a bearish crossover or reaches overbought levels. The strategy incorporates a trend filter to avoid trades against the major trend. |
14 | SMAofRSIcross EMAtrend-filter Short | The trading strategy aims to capitalize on downward price movements by entering short trades when the Relative Strength Index (RSI) indicates a bearish crossover with its Simple Moving Average (SMA), and exiting when the RSI indicates a bullish crossover or reaches oversold levels. The strategy incorporates a trend filter to avoid trades against the major trend. |
Requirements
- PC or Laptop: Microsoft Excel offers all necessary features exclusively on PC or Mac versions.
- Operating System: Windows 11 or Windows 10 for PC, or Mac OS for Mac.
- Memory: A minimum of 4GB RAM is required, but for optimal performance, 8GB or more is recommended.
- Processor: A modern processor is advised for smoother operation.
- Microsoft Excel: Version 2021 or newer is required. Microsoft 365 is an excellent choice for optimal compatibility and regular updates.
- Historical Price Data: OHLC (Open, High, Low, Close) data is required. Volume data is not necessary since the current pack does not include volume-based indicators.
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