Monte Carlo Simulation [Kioseff Trading] generates projected paths using either a Gaussian distribution or bootstrap resampling from historical data or pasted return sets. The script draws simulation trajectories, probability distributions, or best and worst case boundaries in a separate pane. Users can adjust the number of simulations, forecast horizon, binning methodology, random seed, and cumulative probability targets.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
I Want To Simulate:
string
Price
justPriceS
Set Seed
int
0
seed
Type
string
Normal
distT
Returns
text
-3
-2
-1
0
1
2
3
*If You Selected 'My Strategy'
(Paste Your
txt
Cumulative Probability Target
float
70
cumu
Line Plot Only
bool
false
lin
Represent With Circles
bool
false
lab
Probability Distribution Only
bool
false
hist
Binning Method
string
Rice
binT
Simulations
int
250
sims
Forecast
int
15
forx
Show Best Case / Worst Case Only
bool
false
only
Show all 18 settings
Setting
Type
Default
Variable
Historical Data Points
int
200
back
Line Style
string
Solid
lineS
Custom Bin Amount (If Selected)
int
20
Custom Bin Amount (If Selected)
Additional Returns
text
txt2
Additional Returns
text
txt3
Additional Returns
text
txt4
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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