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Scenario scoring

Scenario scoring is a ranking layer above the coin list. It combines several Watchlist.top metrics into one Score so the list can be sorted by how well each coin matches a selected scenario. Score is not a buy/sell signal. It is a way to decide what to inspect first.

Disclaimer and responsibility

Scoring profiles are educational ranking tools, not financial advice and not a promise of profit.
Score helps decide which coins deserve manual review first, but it is not an automatic buy/sell signal.
Every trading decision remains the trader responsibility: position size, leverage, stop placement, exchange risk, liquidation risk, and the consequences of each trade.
A high Score can appear before a failed breakout, a false impulse, a weak pattern, or a news spike. Always check the chart, liquidity, higher-timeframe context, and risk before acting.

How to read Score

Score is a relative ranking value inside the current list, exchange, market, and selected profile. A high value means "inspect this coin earlier", not "enter a trade".
The selected profile controls which metrics are evaluated. For example, an impulse profile emphasizes acceleration in price, volume, and trades, while a patterns profile emphasizes detected chart patterns and context.
A built-in profile has a fixed set of components and fixed weights. A custom profile lets you choose the components yourself, select the timeframe where it matters, and assign your own weights.
The tooltip shows the profile name, total Score, available weight, and the contribution of every component. If a component has no data, it does not produce a positive contribution and is shown as missing.
Missing data is important context. If a profile needs OI, Funding, trades, levels, or orderbook data and that data is unavailable for the exchange/market, the Score is less complete.
Score should be compared between coins under the same profile. Do not compare a score from "Impulse" with a score from "Patterns" as if they were the same scale.
A scoring profile is separate from Settings → Presets. A preset changes application settings for a scenario; a scoring profile ranks coins by the profile logic. Applying a scoring profile can set recommended metric settings, but the profile remains its own ranking system.
Applying a scoring profile does not freeze the metric settings. The profile applies recommended values once; after that, Score is calculated from the current settings. If you change timeframe, averaging depth, level parameters, orderbook threshold, NATR, V_R, T_R, or another participating metric setting, the next Score calculation uses the updated value.

Custom scoring profiles

A custom profile is useful when the built-in profiles are close to the idea, but the exact ranking logic should be different. For example, you can build a profile around a 1d level, around round numbers and orderbook densities, or around short-term volume and trade activity.
Create it from Settings → Common → Scoring → Add profile. Give the profile a clear name. The description is optional, but it is useful to write what market situation the profile is meant to find.
After that, add components. The dropdown follows the same logic as the coin-list metric columns: graphical patterns, R_N, levels, trends, orderbook densities, OI, Funding, P₂₄, V₂₄, NATR, V_R, P_Δ, P_avg, r_BTC, and T_R. T_A is intentionally not used in scoring profiles because an absolute trade count tends to reward simply more active coins rather than a better setup.
Levels and trends are added as timeframe-specific components. In the parameter dialog you can choose several timeframes, for example 1h, 4h, and 1d. Each selected timeframe becomes its own row with its own weight, because a 1d level usually should not have the same meaning as a 1h level.
Other timeframe-based metrics are added one timeframe at a time. The timeframe is part of the component. For example, V_R on 5m and V_R on 1h should be treated as different ideas, not as one universal value.
Some components have scoring-only settings. The most common one is "Distance to price, %" for proximity components such as levels, trends, round numbers, and orderbook densities. It defines how far from the current price the object can be before its contribution becomes weak or disappears.
Weights are edited in the final table with sliders. The total should stay at 100%. When one component weight is increased, the remaining components are reduced proportionally; when it is decreased, the freed weight is distributed across the others. This keeps the profile readable for a beginner: the weight shows how much that component can influence the final Score.
A component that cannot be calculated does not add a positive contribution and appears as missing data in the Score tooltip. This is not a hidden error: it tells you that the profile did not have all the information it expected.
Custom profile components and weights are stored in the profile. General metric settings remain the current application settings. If the profile uses V_R, NATR, levels, trends, or another metric and you later change that metric in Settings, the custom profile will calculate Score from the updated metric values.
A practical beginner workflow is: create one simple profile, add three to five components, save it, sort the list by Score, open the highest-ranked charts, and then adjust weights only after seeing enough real examples.

01 Impulse scoring profile Ranks coins where price, volume, and trades accelerate at the same time. 02 Breakout scoring profile Ranks coins where movement near a level may turn into a breakout. 03 Reaction scoring profile Ranks coins where price is near a level, large order, or round number and activity starts to appear. 04 Overheating scoring profile Ranks futures instruments where OI, Funding, volatility, and movement may show an overheated market state. 05 Activity scoring profile Ranks liquid, volatile, active coins without binding the ranking to one strict pattern or level scenario. 06 Patterns scoring profile Ranks detected chart patterns by quality, freshness, distance to price, and supporting context.

이 섹션에서 다루는 내용

What Score means and why it is a ranking tool rather than an entry trigger.
How the scoring tooltip explains component contribution, missing data, and available weight.
How every scoring profile maps to a practical market-analysis scenario.
How to create a custom profile when the built-in ranking logic is not specific enough.
Which metrics and settings are important for each profile.
What still needs to be checked manually after a coin receives a high Score.

핵심 화면 및 컨트롤

Settings → Common → Scoring block with profile buttons and recommended settings.
Custom profile dialog with name, optional description, parameter selector, component rows, and weight sliders.
Score column in the coin list.
Score tooltip with component contribution and missing-data notes.
Detailed scoring profile pages in the guide.

단계별 시나리오

Open Settings → Common and find the Scoring block.
Turn on Scoring and select a profile that matches the current task: Impulse, Breakout, Reaction, Overheating, Activity, or Patterns.
Review the profile description, recommended settings, and component weights.
If the profile should configure the required metrics, click Apply profile and then Save the settings.
If none of the built-in profiles matches the task, click Add profile, enter a name, add the components you want to rank by, set their weights, and save the custom profile.
For custom profiles, keep the first version simple. Three to five components are easier to understand than a large profile where every metric has a small weight.
Return to the coin list and enable the Score column if it is not visible.
Sort the list by Score. Inspect the highest ranked coins first, but always open the chart and check context before making a trading decision.
Use the Score cell tooltip to understand why the coin is ranked high and whether any important component has no data.
If the ranking looks too broad or too noisy, adjust the current metric settings or the custom profile weights, save, and compare the next sorted list with real charts.

실전 메모

T_R depends on exchange trade-count data availability. It is currently most useful on Binance data. T_A is not used in scoring profiles because absolute trade count can over-rank already popular symbols.
OI and Funding are futures metrics. They should not be treated as universal spot-market signals.
Levels, trends, patterns, and NATR need candle history on the configured timeframes. If the required charts are not loaded yet, the component may temporarily have no data.
Large orders depend on orderbook data and on the configured large-order threshold. If orderbook monitoring is disabled or unavailable, the component cannot contribute.
Built-in profiles have fixed components and fixed weights. Current metric settings can still change the values that those components read.
Custom profiles store their own component list, weights, selected component timeframes, and scoring-only distance settings. Common metric settings still come from the active Settings values.