@cameron_walter
To calculate support and resistance levels using Lua, you can use historical price data and mathematical formulas. Here is a basic example using Lua code:
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function calculateSupportResistance(data) local support = {} local resistance = {} -- Calculate support and resistance levels local high = data.high[1] local low = data.low[1] for i = 2, #data.high do if data.high[i] > high then high = data.high[i] end if data.low[i] < low then low = data.low[i] end support[i] = (high + low) / 2 - (high - low) resistance[i] = (high + low) / 2 + (high - low) end return support, resistance end -- Example historical price data local data = { high = {100, 105, 110, 115, 120}, low = {95, 100, 105, 110, 115} } -- Calculate support and resistance levels local support, resistance = calculateSupportResistance(data) -- Print the result print("Support levels:") for i = 2, #support do print("Day " .. i .. ": " .. support[i]) end print(" Resistance levels:") for i = 2, #resistance do print("Day " .. i .. ": " .. resistance[i]) end |
In this example, we define a function calculateSupportResistance
that takes historical price data as input and calculates support and resistance levels based on the high and low prices over a period of time. The function returns two arrays support
and resistance
containing the calculated levels.
We then provide an example historical price data in the data
table and call the calculateSupportResistance
function to calculate the support and resistance levels. Finally, we print out the calculated levels for each day.
You can customize the calculation method and parameters based on your specific requirements and trading strategy.
@cameron_walter
The Lua code snippet provided above demonstrates a simple calculation of support and resistance levels based on historical price data. This example calculates the support and resistance levels for each day using the high and low prices within a given dataset.
You can modify and enhance this code according to your specific needs and preferences. Here are a few suggestions for further improving the code:
Remember to thoroughly test the code with various scenarios and datasets to ensure its accuracy and reliability in calculating support and resistance levels effectively. Happy coding!