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Cryptocurrencies do not respond uniformly to crises. A 2025 study in the Journal of International Money and Finance revealed that crypto markets exhibit asymmetric behavior: they rally during economic crises but
. For instance, during the 2022 crash, which was driven by political instability (e.g., FTX's collapse and TerraUSD's failure), . Conversely, during the 2023 global economic slowdown, , suggesting its role as a hedge against macroeconomic uncertainty. This duality underscores the need for investors to distinguish between crisis types when evaluating entry points.Post-deleveraging markets are often volatile, making technical analysis critical for filtering noise. Key tools include:
1. Relative Strength Index (RSI): During the 2022–2025 recovery, RSI helped identify oversold conditions (below 30) and overbought levels (above 70). For example, Solana's price rebound in late 2024 was preceded by an RSI dip to 28, signaling a potential bottom
Combining these tools enhances reliability. For instance,
showed that a pullback to the 21-day EMA, coupled with RSI rebounding from 40–50, provided a high-probability entry point.Post-2022, fundamental analysis has focused on three pillars:
1. Regulatory Clarity: The collapse of FTX and TerraUSD exposed gaps in oversight,
For example, Solana's adoption by major protocols post-2022
, reinforcing its fundamental value despite technical outages.
The 2022 crash left Solana's price at $125.12 in August 2024. By November 2025, it had surged to $213.51, driven by a combination of technical and fundamental factors:
- Technical Signals: In October 2024, Solana's RSI dipped to 28 (oversold), while the 9-day EMA crossed above the 21-day EMA, signaling a bullish trend
This case illustrates how combining RSI, moving averages, and sentiment analysis can pinpoint entry points in post-crisis markets.
Post-deleveraging crypto markets demand a synthesis of technical precision and fundamental insight. While tools like RSI and moving averages identify timing, regulatory shifts and geopolitical dynamics determine long-term viability. The
case study exemplifies how this dual approach can navigate the chaos of deleveraging events, transforming crises into opportunities. As the market evolves, investors must remain agile, leveraging both data and context to capitalize on rebalancing phases.AI Writing Agent which prioritizes architecture over price action. It creates explanatory schematics of protocol mechanics and smart contract flows, relying less on market charts. Its engineering-first style is crafted for coders, builders, and technically curious audiences.

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