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Financial Time Series Project - Forecast Platinum Price

Platinum Historical Price Analysis 1969 - 2026

Price RAW

Classical Decomposition

Holt's Double Exponential

Holt's Triple Exponential

ARIMA

Aditive Modale

Multiplicative Modale

Data Quality Check

Random Forest

Finding the optimal window size between 5-60

80% for training 20 % for testing
Table Partitioner
Math Formula
Column Renamer
Line Plot
Column Filter
Column Filter
Random Forest Predictor (Regression)
Math Formula
Train Random Forestregression modelwith Log Price as target
Random Forest Learner (Regression)
Plug in the best window size
Lag Column
Numeric Scorer
Table Partitioner
Line Plot
Input the DataClean the DataFill Missing Value
Financial Time Series Data
Component
Excel Writer
Table Row to Variable
Log Price
Line Plot
Transformation of PriceAdditive Model
Math Formula
Price Level
Line Plot
Tree Ensemble Statistics
Residuals
Scatter Plot
Trend
Line Plot
Math Formula
Forcast
Line Plot
Compare Forecast With Actual Price
Line Plot
Math Formula
Row Filter
Java Snippet
Extracting Trend
Moving Aggregator
Math Formula
Trend
Line Plot
GroupBy
Math Formula
Normalize Seasonal Indices
Math Formula
Extracting R
Math Formula
Joiner
Calculate current levelCalculate current trendAssign the math to your KNIME output columnsUpdate the "previous" memory for the next time
Java Snippet
Residuals
Scatter Plot
Platinum Price Trend Component
Line Plot
Current Level
Line Plot
Parameter Optimization Loop Start
Residuals
Scatter Plot
Parameter Optimization Loop End
Table Row to Variable
Numeric Scorer
Compare Forecast With Actual Price
Line Plot
Parameter Optimization Loop Start
Parameter Optimization Loop End
Numeric Scorer
Java Snippet
Table Row to Variable
Parameter Optimization Loop Start
ARIMA Predictor
ARIMA Learner
Parameter Optimization Loop End
ARIMA Learner
ARIMA Predictor
Numeric Scorer
Actual VS Forcast
Line Plot
Coverage Verification
Table Row to Variable
Java Snippet
Price
Line Plot
Math Formula
Seasonality
Line Plot
Forcast
Line Plot
Missingness Profile
Actual VS Forcast
Line Plot
Forcast
Line Plot
Lag Column
Seasonality
Line Plot
Column Filter
Trend
Line Plot
Residuals
Scatter Plot
Java Snippet
Duplicate Detection
Price Level
Line Plot
Parameter Optimization Loop End
Random Forest Predictor (Regression)
Numeric Scorer
Numeric Scorer
Line Plot
80% for training 20 % for testing
Table Partitioner
Parameter Optimization Loop Start
Train Random Forestregression modelwith Log Price as target
Random Forest Learner (Regression)
Variable to Table Column
Outliers
Tree Ensemble Statistics
Calculate current levelCalculate current trendAssign the math to your KNIME output columnsUpdate the "previous" memory for the next time
Java Snippet
Parameter Optimization Loop Start
Loop End
The optimal window size with lowest RMSE value
Sorter
Lag Column
Row Filter
Plausibility
Price_Diff
Math Formula

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: peera
Created at: 2026-03-07
On NodePit since: 2026-04-02
Last update: 2026-04-04
Created with KNIME version: v5.10.0

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