How it all works

Here is the complete loop, end to end. Understanding this flow makes every other page in these docs click into place.

The problem the ecosystem solves

Backtesting a discretionary strategy is broken in two places. First, collecting data is slow and dishonest: scrolling a chart by hand takes hours, and you already know what happens next, so hindsight leaks into every decision. Second, raw results are useless without analysis: a pile of wins and losses in a spreadsheet does not tell you whether your edge is real, when it works, or how hard it can draw down. The ecosystem fixes both halves with one tool each.

Step by step

1. 1

   You define your setups in TradingView

   Rafale plugs into an automated TradingView strategy. The strategy flags candidate setups; your discretion decides which ones to take. This keeps the test faithful to how you actually trade.
2. 2

   Rafale teleports you from setup to setup

   Instead of scrolling, Rafale rolls the chart back to each setup automatically. You see the market exactly as it looked at entry time. The future candles, and the outcome, stay hidden.
3. 3

   You decide: YES or NO

   For each setup you click YES (take it) or NO (skip it). Only then does Rafale reveal the exit and the result. Because the outcome was hidden, the test measures you, not hindsight. Rafale also keeps score on the trades you skipped, so you learn whether your filter adds or destroys value.
4. 4

   One click exports the session

   When you are done, Rafale exports every decision to an XLSX file in exactly the format Afterburner imports. Hundreds of honest, pressure-tested trades can be logged in an afternoon.
5. 5

   Afterburner turns the file into a report

   Drop the file into the journal. Afterburner parses it, archives the original file, and instantly computes the full analytics suite: equity curve, drawdown, win rate by session, expectancy per pair, Monte Carlo simulation and dozens more, all recalculated live on every filter you apply.
6. 6

   You trade only what the data proves

   The report tells you if the edge is real, where it pays, and where it leaks. Ask the AI analyst the questions the charts don't answer, and check your odds on a funded account in the Simulator before paying for one. When you go live, keep journaling: log live trades by hand, by chat, or import your broker history (the AI import can adapt any file format), and keep Spectra open for real-time news context.

The automated side: Talios

Rafale tests your discretion. When a rule can be written down, Talios tests the rule itself: describe the strategy (or code it in Python), backtest it over years of candles in seconds, and read it with the same Analytics report and Simulator as your journal. The two answer different questions, and work well together: a Talios backtest tells you whether a setup has an edge, Rafale tells you whether you can trade it.

How results are measured: R-multiples

Everything in Afterburner is computed in R, where 1R is the amount you risk on one trade. A +2.4R trade made 2.4 times its risk; a -1R trade lost exactly the planned risk. Working in R makes trades comparable across pairs, position sizes and account phases.

Dollars still exist: you set your account size once, and Afterburner treats 1R as 1% of it. A single toggle switches the whole app between R and dollar display. Imported dollar PnL is converted to R with the same rule, so both views always agree.

Where your data lives

• Cloud sync. Your journal is tied to your account and syncs to the cloud, so signing in on any device gives you the same trades, folders, tags, filters and preferences.
• Private by design. Your trades are only readable by your own account. Nobody else can query them.
• Your data stays yours. Every import can be downloaded again from the Settings dialog at any time, with your edits and notes, and the whole journal exports as one file.