Data sources

Real historical OHLCV. Nothing generated.

Name: CandleDojo Scenario Library Summary
Creator: CandleDojo
License: https://candledojo.app/tos

Every CandleDojo scenario is built from real historical OHLCV (Open, High, Low, Close, Volume) price data. Nothing is simulated, generated, or synthetic. The live app serves 1,200+ playable scenarios across 4 instruments spanning crypto, forex, and commodities; this public reporting snapshot currently documents 544 scenarios.

Page Notes

Reviewed by

CandleDojo editorial team

Published

Mar 27, 2026

Last updated

Apr 5, 2026

Sources

Scenario library summary JSON Scenario reporting metrics JSON Research methods

How this page was made

The data page describes the public reporting layer that CandleDojo uses to support insight pages, trust surfaces, and machine-readable discovery files.

Change log: on April 5, 2026 CandleDojo added dataset markup, a public data catalog, and the second reporting JSON route for difficulty and coverage metrics.

What data CandleDojo uses

A deliberately small, deep practice set.

CandleDojo sources real historical OHLCV data across 4 instruments. Each scenario uses actual market candles from one of these instruments:

CandleDojo currently focuses on a deliberately small practice set: BTC/USDT, EUR/USD, USD/JPY, and XAU/USD. The goal is depth and training quality, not a giant symbol menu.

Crypto

— BTC/USDT

Forex

— EUR/USD
— USD/JPY

Commodities

— Gold (XAU/USD)

Why real data matters

Textbook charts are too clean.

Synthetic or generated chart data has predictable patterns. Algorithms that create fake candles tend to produce clean, textbook setups that look right but don't feel like real markets. For a primer on the OHLCV structure every scenario uses, see Investopedia's OHLC reference.

Real markets have noise, false signals, and genuine complexity. Wicks trap traders. Patterns break down. Trends reverse without warning. Training on real data builds skill that transfers to live trading because the scenarios are the same kind of charts traders face when real money is on the line.

Historical crypto candles are sourced from public exchange kline endpoints (see Binance's kline/candlestick documentation for the canonical schema). Forex, indices, and commodities are sourced from institutional historical feeds and verified against published exchange data.

How scenarios are built

A five-step automated pipeline.

Every scenario goes through an automated pipeline before it reaches the training library:

1. Source OHLCV data for each instrument from historical market feeds.
2. Apply quality filters: EMA trend detection, minimum price movement thresholds, directional balance.
3. Generate two charts: a context chart (22 candles, higher timeframe) and an entry chart (26 candles, lower timeframe).
4. Tag difficulty (easy, medium, or hard) based on trend clarity and signal strength.
5. Validate: no ambiguous setups, no choppy sideways action, no insufficient price movement.

Timeframe pairs

Zoom out for direction. Zoom in for timing.

Each scenario pairs a higher-timeframe context chart with a lower-timeframe entry chart. This mirrors how real traders analyze markets: zoom out for direction, zoom in for timing.

Scalp

15-minute context

1-minute entry

Intraday

4-hour context

15-minute entry

Swing

Daily context

4-hour entry

Scenario library

Three difficulty levels, verified.

The public reporting snapshot contains 544 verified scenarios distributed across three difficulty levels:

— Easy — clear trend, strong signals, minimal noise.
— Medium — trend present but with pullbacks and mixed signals.
— Hard — ranging markets, conflicting timeframes, false breakouts.

New scenarios are added regularly as more instruments and timeframes are onboarded.

Data integrity

No cherry-picking. What passes the filter is what you train on.

Every scenario represents a real market moment. CandleDojo does not cherry-pick setups for educational clarity. The distribution includes easy wins, hard reads, and ambiguous setups that get filtered out by quality checks.

What passes the filter is what users train on. The goal is to expose traders to the full range of chart conditions encountered in live markets, not a curated highlight reel.

Public reporting files

Machine-readable, first-party.

CandleDojo publishes a small machine-readable reporting layer so the public insight pages can cite first-party data directly.

Public reporting JSON is provided for reference under CandleDojo's Terms of Service.

Scenario library summary JSON

Top-level counts for asset classes, frameworks, difficulty mix, and symbol coverage in the public reporting snapshot.

Scenario reporting metrics JSON

Derived metrics for long-short balance, difficulty move profiles, and symbol-framework coverage depth.

What CandleDojo does not do

Scope, explicitly.

— CandleDojo does not use real-time data. All scenarios are historical.
— CandleDojo does not provide trading signals or recommend trades.
— CandleDojo does not offer financial advice of any kind.
— CandleDojo is a training tool for building chart reading intuition, not a platform for execution.

Learn more

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Real historical OHLCV. Nothing generated.