The original script was meant to execute an entry and exit upon the moving average crossover and crossunder - eg. The problem I am having is that the script seems to be negating the candlestick condition and only enters upon the crossover, when I want the entry to execute when both the the moving averages cross AND the candlestick condition exist together. It also adds a bit of structure. These are two settings that are best turned off, as they will mess with your backtest results greatly. The original script was meant to execute an entry and exit upon the moving average crossover and crossunder - eg. And so we use a default value of 10% here. (2006).
The goal of trend following is simple: capture the majority of an up or down move for profit (Covel, 2006).
When that happened we return the orange colour for use with bgcolor(). So let’s take a look at how Pine Script calculates the SMA. These mechanisms to compare values to eachother are called operators and i’ll also zoom in on them in a different article. You can decide which Moving Average you want to show or hide.
Thats all, now you can go ahead and save then add it to the charts: To see the effects from the strategy-tester tab. A rather common task in TradingView Pine scripts is to see if some value crossed another. We use the crossover() function here with the rsiValue and 50 arguments. Other trend-following strategies that also rely on moving averages are the Dual Moving Average strategy and the Triple Moving Average strategy. Strategies employ indicators in an objective manner to determine entry, exit and/or trade management rules. The length we use with atr() is set with atrLen, the input variable we set to 10 earlier. That value disables the coloured background. So, what do you need for this script to work? Can someone please tell me what I am missing here? We name them ‘Fast SMA Length’ and ‘Slow SMA Length’ and give them standard values of 50 (defval=50) and 100 (defval=100). Strategy.entry with parameters order id, strategy.long, ordersize and buy: Opens a long position with defined ordersize at our buy condition.
Then we calculate the Stochastics %K and %D values: Then we colour the background when one of two cross below happened: Which, if any, background colour we use depends on two comparisons.
But we don't colour the background of each price bar. Disables intrabar strategy and order calculation. These functions are used to open/close positions. Then we calculate two Simple Moving Averages (SMAs): We calculate the moving averages with the sma() function, which we run here on closing prices (close) with a length of 15 and 35 bars. So first we determine the moving averages and ATR: The SMA Crossover strategy uses basic simple moving averages, and we compute those here with TradingView's sma() function. Strategy.close with parameters order id and sell: Closes any open position with the specified “order id” at our sell condition.
Based on the strategy's rules we disable pyramiding (pyramiding=0). The results of a mini-backtest show below. to check the strategy starting date, profits, position size tallying or not, as sometimes if we’re just seeing the net profits and profitability, we can easily get tricked into believing that this strategy is invincible, only to later find a bug in its working.
We get that value when we multiply the ‘Margin %’ input option with the total contract value, which we get when we multiply the current price (close) with syminfo.pointvalue. Perhaps a better idea is to use 50 and 100-bar SMAs for entries, but use shorter moving averages for exits. buy= crossover(s1,s2) // Define our buy/sell conditions, using pine inbuilt functions. This makes it easier to read if you want to share your code with others or for yourself when your scripts run into the hundreds of lines. Then we multiply with strategy.equity. In that case we have TradingView's conditional operator (?
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