SM - Lost Thunder — Price Guide & Signals
Nov 2, 2018 · SM8 · 30 cards
Set Analysis
SM - Lost Thunder is a premium set with a total market cap of $3.1K across 30 cards. The average card price is $103.60.
7-day trend: The set average is declining (-27.1%).
Signal outlook: Currently bullish with 12 buy signals and 9 sell signals. More cards are showing upward momentum than downward pressure.
Top Buy Signals in SM - Lost Thunder
Cards with the strongest buy signals based on price momentum, value score, and mean reversion analysis.
All Cards with Active Signals
21 cards in SM - Lost Thunder with active buy or sell signals. Sorted by signal strength. Updated daily from TCGplayer market data.
How CardMoat Signals Work
CardMoat generates buy and sell signals by analyzing multiple factors for each card:
- Momentum Score — Short and medium-term price direction based on 7-day and 30-day changes
- Value Score — How undervalued or overvalued a card is relative to its historical price range
- Volatility Score — Price stability indicator; lower volatility means more predictable movements
- Mean Reversion — Detects cards that have deviated significantly from their average price and may snap back
- Breakout Detection — Identifies cards breaking out of established price ranges
Signals are updated daily using market prices from TCGplayer. View all active signals or learn more about our methodology.
Frequently Asked Questions
How many cards are in SM - Lost Thunder?
SM - Lost Thunder contains 30 cards. It was released on Nov 2, 2018.
What is the average card price in SM - Lost Thunder?
The average card price is $103.60, with a total set market cap of $3.1K.
Is SM - Lost Thunder a good set to invest in?
SM - Lost Thunder currently has 12 buy signals and 9 sell signals. The overall outlook is bullish. Check individual card signals above for specific opportunities.
Where does CardMoat get its price data?
All prices come from TCGplayer market data, updated daily. CardMoat tracks current prices, 7-day and 30-day price changes, and generates algorithmic signals based on momentum, value, and volatility analysis.










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