Walk-Forward Analysis

Validate your commodities strategy's robustness with out-of-sample testing across multiple periods

Walk-Forward Testing: The Professional StandardAdvanced

Walk-forward analysis simulates real-world trading by testing your strategy on data it has never seen before. This catches overfitting and provides realistic performance expectations.

How It Works:

Train strategy parameters on historical period (e.g., 12 months)
Test on the next unseen period (e.g., 3 months) - this simulates live trading
Roll forward by stepping ahead (e.g., 3 months) and repeat
Aggregate all out-of-sample results to see true performance

Consistency Score

See if strategy works across different market conditions

Realistic Expectations

More accurate future performance estimate

Overfitting Detection

Catch strategies that only work on historical data

Quick Start: Choose a Template

beginner

Golden Cross

Classic SMA 50/200 crossover strategy. Buy when short-term trend crosses above long-term trend.

Long-term investors

beginner

Supertrend Basic

Popular Indian trading strategy using Supertrend indicator for trend identification.

Swing trading

intermediate

EMA Ribbon Trend

Uses EMA 9/21 crossover with EMA 50 as trend filter. Only trades in direction of major trend.

Swing trading

intermediate

MACD Trend Follower

MACD crossover strategy with trend confirmation. Enters on bullish MACD crossover when above zero line.

Medium-term trading

Start with a proven strategy and customize it for your needs

Walk-Forward Configuration

Configure how to split historical data into training and testing periods

Training Window

months

Testing Window

months

Step Size

months

Estimated Windows

Example Timeline (Window 1):

Train (12m)

Test (3m)

Window 2 (rolled forward by 3 months):

Train

Test

↻Process repeats for ~4 windows total

Recommended Settings:

Daily strategies: 12 months training, 3 months testing, 3 months step
More volatile markets: Shorter windows (6-3-3)
Long-term strategies: Longer windows (18-6-6)

Strategy Configuration

Define your trading rules and backtest parameters

Select Commodity

Trading Costs

Brokerage

Fee per Trade (₹)

Slippage (%)

Price impact on entry/exit

₹20 per transaction (entry + exit = ₹40/trade) + 0.1% slippage on entry/exit

Entry Conditions

Define when to enter a trade

All conditions below use AND logic — a trade is entered only when every condition is true.

Compare an indicator to a value (e.g., RSI < 30) or to another indicator (e.g., SMA 20 crosses above SMA 50).

Tip: Use the + icon next to each indicator to add Bars ago (e.g. 1 = yesterday) or ± Offset % on that side.

Condition type

Indicator

Condition

Compare To

Indicator 2

Exit Conditions

Define when to exit a trade

Exit conditions use OR logic — a trade exits when any one condition is triggered.

Stop Loss: Exit if price drops X% from entry (limits losses)
Target: Exit if price rises X% from entry (locks profit)
Trailing Stop: Follows price up, exits if price drops X% from highest point
Indicator: Exit based on technical indicator conditions

Tip: Use both Stop Loss and Target for balanced risk management. Trailing Stop can be set to activate only after X% profit.

%Exit if price drops by this %

%Exit if price rises by this %