Tick Analysis

Overview

Tick Analysis (NYSE TICK) — Use breadth tick readings for intraday sentiment extremes.

When to use this skill

Use when the user asks to:

• Analyze or interpret Tick Analysis on a chart or dataset
• Build buy/sell signals or alerts based on NYSE TICK
• Combine Tick Analysis with other indicators for confirmation

How it works

Use breadth tick readings for intraday sentiment extremes. Apply it on OHLCV data (open, high, low, close, volume) for any timeframe. Always confirm with price structure, trend context, and at least one independent indicator before acting.

Reading the signals

• Bullish bias: signal aligns with higher highs/higher lows and rising volume.
• Bearish bias: signal aligns with lower highs/lower lows and rising volume.
• No-trade: conflicting context or low volatility/volume.

Worked example (Python)

import pandas as pd
# df has columns: open, high, low, close, volume (datetime index)
# Compute the indicator, then generate signals
# (use pandas/numpy or ta libraries; validate on out-of-sample data)

Risk management

• Define stop-loss from structure or ATR before entry.
• Size positions by fixed-fractional risk (e.g. 0.5–1% per trade).
• Never rely on a single indicator; require confluence.

Common pitfalls

• Over-optimizing parameters to past data (curve fitting).
• Ignoring the higher-timeframe trend.
• Acting on signals during low liquidity.

Educational analysis only. Not financial advice.