Ticker Trading Playbooks for Swing and Position Traders

Ticker research can explain what may affect an instrument, but a long list of facts does not show when a thesis becomes timely or when it has failed.

Company, fund, sector, and macro research organize the thesis, but they are context rather than the source of Anemoi’s directional flag.

Anemoi takes the price-first route: its proprietary algorithm applies Trigger Levels and the Price Velocity indicator to flag buy-or-sell conditions in AP Terminal, while Crosses provide supporting confirmation and context.

The purpose is to organize each instrument’s observable price behavior around a stated thesis, decision area, and timeframe. Persistent movement may be consistent with demand or supply, but it does not establish who is trading or why.

The flag cannot identify a particular fund or prove its intent; it is decision-support information, not a personalized recommendation, automated trade, prediction, or promise of performance.

Choose the instrument first: Each playbook names the business, fund, macro, or market drivers that can matter. It then separates those drivers from the price decision, invalidation, position risk, and execution plan. The pages do not provide a current trade call.

Major stocks and broad-market ETFs

Semiconductors, AI infrastructure, and enterprise software

Finance, payments, commerce, and consumer businesses

Crypto, commodities, energy, rates, and health care

How to use a playbook

1. Choose one driver and one holding period.
2. List the scheduled events inside that period.
3. Mark the price area where the thesis becomes timely or fails.
4. Keep position size, portfolio fit, and order handling separate.
5. Review the result without rewriting the original thesis.

Bottom line: A useful playbook narrows the research question. It does not replace the user’s independent suitability, risk, and execution decisions.