Tools · ~9 min

Trade Analyzer tool

Review a past or paper trade — R-multiple, hold time, and scan context.

~9 min read

Swing Edge shows research scan results only. Nothing here is a buy, sell, or hold suggestion. Always check the chart and your own plan before any decision.

Page screenshot

Numbered markers highlight areas described in the steps below (desktop layout).

Desktop
Trade Analyzer — desktop
  1. Trade Analyzer
  2. Tool description
  3. Stock symbol
  4. Entry & exit prices
  5. Analyze trade

Screenshot coming soon

Add desktop.png under static/tutorials/trade-analyzer/

Desktop / web

Step-by-step

  1. Purpose

    Journaling and review — enter what you actually did (or a paper trade) and see structured stats plus scan context at entry.

  2. Required inputs

    Symbol, entry price, and either exit price or stop. Optional dates for hold-period calculation.

  3. R-multiple output

    How many times your initial risk you gained or lost. +2R means profit was 2× the entry-to-stop distance.

  4. Hold time

    Calendar or session days between entry and exit when dates are provided.

  5. Scan context

    What Base Formation / breakout scanners showed around entry date — tags, scores, RS — for notes, not grading your decision.

  6. OHLC source

    Prices from stored history where available. Gaps or corporate actions may affect exact bars.

  7. Not live trading

    No broker link. Does not place or modify orders.

Detailed reference

R-multiple

(Exit − Entry) ÷ (Entry − Stop) for a long with a defined stop. Standardizes outcomes across different position sizes.

Open in the app

FAQ

What does the Trade Analyzer tutorial cover?

Review a past or paper trade — R-multiple, hold time, and scan context.

Is the Trade Analyzer tutorial investment advice?

No. Swing Edge tutorials explain scan data and app features for your own research. They do not recommend buying, selling, or holding any security.

How do I get started with Trade Analyzer on Swing Edge?

Purpose: Journaling and review — enter what you actually did (or a paper trade) and see structured stats plus scan context at entry.

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