The lab — a real workflow, on synthetic data

The Lab

One real workflow — data → chart → indicator — run end to end on synthetic data, in your browser, with the working shown. It makes no network requests and stores nothing.

Where this was checked: Checked against the product source at dmitriy718/tradeflows-pro@2e5540a (2025-12-16); source audit dated 2026-09-17. That’s the source code only — we couldn’t confirm which build runs at app.tradeflows.net (deployment unverified; it answered 522, origin unreachable, at the last check on 2026-09-17).

Why this exercise and not a file validator: A lab for a product like this would usually check a real import file. But the product's source has no import format to validate against — there'd be nothing honest to check, and we'd be inventing one instead (verification pending). This lab walks through a workflow we did confirm, using data that's labeled synthetic on its face. Background: what a computed signal is.

The lab: one workflow, shown step by step

This exercise walks through one thing the TradeFlows app does — load market data, draw a chart, compute an indicator — using a fixed synthetic series for the fictional symbol EXAMPLE. Lab version tfco-lab-v1. Nothing is uploaded, requested, or stored; the data never changes, so your result matches everyone else's. It teaches what the software does — it doesn't recommend buying, selling, or holding anything.

Step 1 of 5: The practice input

Step 1: The practice input

Everything in this lab runs on the fixed series below: 14 invented daily candles for a fictional symbol, EXAMPLE. It is synthetic practice data — not market data, and it never changes, so your result and everyone else’s are identical.

Date	Open	High	Low	Close
2026-08-03	100.00	101.40	99.50	100.00
2026-08-04	100.20	102.00	100.10	101.25
2026-08-05	101.00	101.30	99.20	99.80
2026-08-06	100.10	102.80	100.00	102.40
2026-08-07	102.50	103.60	101.80	103.10
2026-08-10	102.90	103.20	101.50	101.90
2026-08-11	102.20	104.60	102.00	104.25
2026-08-12	104.40	105.50	103.90	105.00
2026-08-13	104.80	105.10	103.20	103.60
2026-08-14	103.90	106.50	103.70	106.10
2026-08-17	106.30	107.90	106.00	107.45
2026-08-18	107.20	107.60	106.20	106.80
2026-08-19	107.00	108.60	106.80	108.20
2026-08-20	108.40	109.50	107.90	109.05

Text version (the same exercise, start to finish)

Everything the interactive steps show, as one document. This is also the static equivalent for anyone who prefers not to use the stepper.

TradeFlows Guides & Lab — scenario walkthrough (tfco-lab-v1)
Synthetic data: symbol EXAMPLE is fictional; the series below is invented practice data, not market prices.

Step 1 of 5: The practice input
Everything in this lab runs on the fixed series below: 14 invented daily candles for a fictional symbol, EXAMPLE. It is synthetic practice data — not market data, and it never changes, so your result and everyone else’s are identical.

Step 2 of 5: How the app would get data
In the app's source code, it reads public market data through a separate read-only proxy service; keys live on that service, never in your browser, and the path carries data only — the audit found no order routes. This page performs no request; the box shows the documented pattern as an illustration. We don’t know which version of the proxy is deployed, which is one reason live charts may not load.

Step 3 of 5: Read the series as a chart
Each candle summarizes one session: the body spans open to close; the wicks reach the high and low. Read one candle before reading any trend. The same numbers are in the table — the chart is only a shape drawn over them.

Step 4 of 5: Compute one indicator by hand
The audited app computes indicators in background scripts (Web Workers) inside your browser. Here is the simplest one, worked in the open: the 4-session simple moving average of the closing prices — add the last 4 closes, divide by 4. That number is the whole "signal": arithmetic on history.

Step 5 of 5: Outcome and export
You have seen input → data path → chart → indicator, with the working shown. Take the synthetic series with you as a CSV and check the arithmetic anywhere you like. Boundary, restated: this lab teaches what the software does. It does not recommend buying, selling or holding anything, and no result here describes a real instrument.

Data table (date, open, high, low, close):
2026-08-03 100.00 101.40 99.50 100.00
2026-08-04 100.20 102.00 100.10 101.25
2026-08-05 101.00 101.30 99.20 99.80
2026-08-06 100.10 102.80 100.00 102.40
2026-08-07 102.50 103.60 101.80 103.10
2026-08-10 102.90 103.20 101.50 101.90
2026-08-11 102.20 104.60 102.00 104.25
2026-08-12 104.40 105.50 103.90 105.00
2026-08-13 104.80 105.10 103.20 103.60
2026-08-14 103.90 106.50 103.70 106.10
2026-08-17 106.30 107.90 106.00 107.45
2026-08-18 107.20 107.60 106.20 106.80
2026-08-19 107.00 108.60 106.80 108.20
2026-08-20 108.40 109.50 107.90 109.05

Worked indicator — 4-session simple moving average of closes:
(107.45 + 106.80 + 108.20 + 109.05) / 4 = 107.88
Latest close 109.05 is above the average.
That is the entire computation. It describes the past of this synthetic series; it recommends nothing.

What the lab will never do

Never asks you to upload a brokerage statement or any real account data.
Never contacts the market-data proxy, the app or any other service — every byte of data is embedded in this page.
Never produces a recommendation. The indicator shown is arithmetic on invented numbers, presented to teach what a computed signal is, not what to do.

Something unclear or not working? See troubleshooting or open a support request.

The Lab

The lab: one workflow, shown step by step

Step 1: The practice input

Step 2: How the app would get data

Step 3: Read the series as a chart

Step 4: Compute one indicator by hand

Step 5: Outcome and export

Text version (the same exercise, start to finish)

What the lab will never do

Save Lab Verification Checklist to Your Inbox