Gold Dataset For Scalping And Intraday Backtest

Overview

This dataset contains historical gold price data designed to support traders and researchers in developing, backtesting, and optimizing scalping and intraday trading strategies. The dataset spans multiple time frames, making it suitable for fine-tuned analysis and strategy creation.

Dataset Contents

The dataset includes the following key features across four different time frames: 5-minute (5m), 15-minute (15m), 30-minute (30m), and 1-hour (1h). Each time frame provides detailed OHLC (Open, High, Low, Close) price data, as well as associated volume information.

Features

Timestamp: The date and time of each record.

Open: Opening price of gold during the specific time frame.

High: Highest price of gold recorded during the specific time frame.

Low: Lowest price of gold recorded during the specific time frame.

Close: Closing price of gold at the end of the time frame.

Volume: The volume of trades during the time frame, indicating market activity.

Time Frames

5m: High-frequency data for scalping strategies.

15m: Balanced time frame for both scalping and short intraday strategies.

30m: A wider time frame for capturing medium-term intraday trends.

1h: Ideal for intraday trend-following strategies and lower-frequency analysis.

Usage

This dataset is particularly useful for:

Scalping Strategies: Short-term high-frequency trading strategies where 5m and 15m data are commonly employed.

Intraday Backtesting: Testing strategies that enter and exit trades within a single trading day using 15m, 30m, or 1h time frames.

Indicator Development: Developing technical indicators such as Moving Averages, RSI, Bollinger Bands, etc.
Pattern Analysis: Identifying candlestick patterns or other technical setups.

Machine Learning Applications: Training models to predict short-term price movements.