Tick analysis
Analyze markets using Tick Analysis (NYSE TICK). Use breadth tick readings for intraday sentiment extremes. Activate when the user asks to analyze, interpret, or build signals based on Tick Analysis or NYSE TICK.From its SKILL.md
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SKILL.md
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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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most research analysis skills give in 339 tokens
Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-07
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Said here and by no other author read
- Use breadth tick readings for intraday sentiment extremes
- Apply analysis on OHLCV data
- Confirm with price structure before acting
- Confirm with trend context before acting
- Confirm with one independent indicator before acting
- Define stop-loss from structure or ATR before entry
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.