Deterministic price levels
Scenario levels come from market data and fixed calculations. A language model may explain computed evidence, but it is not permitted to invent a target, stop, support or resistance value.
Educational market intelligence
Read the market with context—not a mysterious score.
Trading.Red connects price structure, momentum, volatility, participation and market regime in one educational workspace. Every scenario is designed to show what was observed, what would confirm the interpretation and what would invalidate it.
No trade execution. No personalized recommendations. Model scores describe rule-based evidence; they are not guaranteed win probabilities.
How the product is built
Useful analysis requires more than a chart
The interface is only the final layer. The important work is deciding which data belongs to each horizon, which rules can be reproduced and which uncertainties must remain visible.
Independent time horizons
Short-term analysis uses intraday momentum. Medium-term analysis focuses on multi-session structure. Long-term analysis uses daily and weekly trend context. Disagreement between them is information, not an error to hide.
Completed-candle discipline
The latest open candle can still change. Confirmed events require completed data, while developing events are labelled separately to reduce look-ahead bias and unstable historical labels.
Evidence before confidence
A model score summarizes the available feature evidence. It is kept separate from historical validation, scenario ratio and realized outcome so one attractive percentage cannot imply certainty.
Learning hub
Understand each layer before using it
These original guides explain both the intended interpretation and the failure modes. They are available without an account.
How to Read Market Structure: HH, HL, LH and LL
Learn how connected swing highs and lows describe trend, transition and invalidation—and why confirmation matters more than prediction.
Read the guide →Support, Resistance and Floor Pivot Points
Why support and resistance are areas rather than promises, and how deterministic pivot formulas differ from AI-generated levels.
Read the guide →Breakouts, Retests and Failed Breakouts
Learn which evidence separates a developing breakout from a confirmed event and why failed moves deserve their own label.
Read the guide →RSI, MACD, EMA and VWAP Without Indicator Overload
Use indicators as independent evidence instead of counting several versions of the same price movement as separate confirmation.
Read the guide →Multi-Timeframe Analysis and Risk–Reward
A framework for separating horizons, calculating reward relative to risk and avoiding false precision.
Read the guide →Volume and ATR: Participation Versus Price Noise
Learn what volume and ATR can confirm, what they cannot predict, and why comparisons must use compatible sessions and timeframes.
Read the guide →Gaps, Premarket and Extended-Hours Price Context
Understand why a valid overnight price may still be a poor execution reference and how session-aware charts avoid distorted candles.
Read the guide →Trend, Range and Transition: Reading Market Regimes
Why a model should change its expectations when the market changes character—and why neutral is sometimes the most useful output.
Read the guide →Market-Data Quality, Splits and the Latest Candle
A chart is only as reliable as its inputs. Learn the checks that prevent one bad candle or split from corrupting every downstream level.
Read the guide →Backtesting, Calibration and Honest Model Scores
Understand why a model score is not automatically a probability and how saved publications make performance claims testable.
Read the guide →What you can verify
Methodology and limitations are part of the product
Data timing: every dashboard identifies the provider snapshot and warns when values may be delayed.
Scenario history: published scenarios are saved so later outcomes are not silently rewritten.
Model boundaries: the methodology explains inputs, score meaning, unavailable states and known limitations.
What Trading.Red does not do
Trading.Red is educational analytical software, not a broker, investment adviser, fiduciary or execution venue. It does not know a visitor's finances, objectives, tax situation, portfolio concentration or ability to bear loss. Nothing on the site is a personalized instruction to buy, sell, hold or short an instrument. Market data, derived levels and automated classifications may be delayed, incomplete or wrong.
Before making a financial decision, independently verify the underlying data, understand order-execution risk and consider advice from a properly licensed professional who can assess your individual circumstances.