SMA, MACD, RSI (SMR) Trading Algorithm

View a stock's buy/sell recommendations based on a synthesis of the indicators SMA, MACD, and RSI
Updated 6 Jan 2014

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View a stock's buy/sell recommendations based on a synthesis
of three indicators: SMA, MACD, and RSI

An internet connection is required.

This tool performs techninal analysis of stock data automatically and
suggests times at which an investor should buy or sell a particular stock.

The plot of stock price vs. time contains red and green dots. Red dots
correspond to days that the strategy suggests to sell, and green dots
correspond to days that the strategy suggests to buy.

-MACD: Moving Average Convergence/Divergence. The difference between a
long period and short period Exponential Moving Average of the stock
-MACD Signal: The EMA of the MACD described above
-SMA: Simple Moving Average. The average stock price over the last n
-RSI: Relative strength index. Fluctuates between 0 and 100. Over 70 is
considered "overbought" (and expected to fall) while under 30 indicates
"oversold" (and expected to rise)

Recommendations are based on simple moving average, relative strength index,
and moving avg convergence/divergence. This algorithm to
this strategy is from the book "The Neatest Little Guide to Stock
Market Investing" by Jason Kelly and is outlined below.

Stock data is from Yahoo's! free, undocumented, non-commercial API.

At least two (2) of these three (3) conditions must be met in order to
recommend a buy or sell:
1. MACD and MACD signal have recently intersected. If MACD signal is
rising on intersection buy, otherwise sell
2. rsi < 30 and increasing (buy) or > 70 and decreasing (sell)
3. current price crosses sma (cross upwards = buy, downwards = sell)

There are no guarantees made as to the effectiveness of the tool, so
invest at your own risk. The author is not responsible for any losses you
may incur when following this strategy.

Cite As

Chad Smith (2024). SMA, MACD, RSI (SMR) Trading Algorithm (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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