Data Blocks

Algorithmic trading strategies rely on structured market data as their foundation. The most commonly used dataset is OHLCV, which represents five essential attributes of price movement and trading activity within a defined time interval (e.g., 1 minute, 5 minutes, daily).

1. Open (O)

• The first traded price at the beginning of the time interval.
• Serves as the starting reference point for that candle.
• Often used to identify gap openings and session bias.

2. High (H)

• The highest price reached during the time interval.
• Indicates the maximum buying pressure within that period.
• Useful for identifying resistance levels and volatility.

3. Low (L)

• The lowest price reached during the time interval.
• Reflects the strongest selling pressure during that period.
• Commonly used to detect support levels.

4. Close (C)

• The final traded price at the end of the time interval.
• Considered the most important price point in technical analysis.
• Used extensively in indicators, signals, and strategy decisions.

5. Volume (V)

• The total quantity of assets traded during the interval.
• Measures market participation and liquidity.
• Helps confirm price movements (e.g., strong trend vs. weak move).