BIO +325.71% (Directional Strategy Resonance)
A breakdown of the BIO/USDT trade, focusing on buyer weakness and volume imbalance. Shows how the cluster chart, delta/balance, and Z-Score help find entry and exit points even in high volatility. A practical example of an integrated approach to trading and position management.
Table of content
Coin: BIO/USDT
Risk: High
Skill level: Beginner
Entry reasons
Cluster chart: Despite high volatility, in the highlighted zone selling pressure did not lead to a noticeable price drop or a new local low (red rectangle and arrow). Such a mismatch between selling pressure and price reaction may indicate the presence of a local shortage.
In the Dashboard
Delta / Volume balance: Aggregated data shows that overall across the market and all pairs there was a dominance of selling (red rectangle).
Exit reasons
Cluster chart: The opposite picture — significant volume buying was recorded, but despite buyer activity, the local price high could not be updated (green rectangle and arrow).
In the Dashboard
Delta / Volume balance: Aggregated data confirmed what was seen on the cluster chart — participants’ buying could not push the price above the local high (green rectangle).
Z-Score (price): Additionally, there was an abnormal upward deviation on the last move — exceeding 3 standard deviations (blue arrow).
Position management
This trade brought a strong result. During its holding, an additional entry was made, which strengthened the overall position and allowed the trading idea to be effectively executed.
Result: +325.71% profit.
Conclusion
This trade clearly demonstrates how observing the balance between sellers and buyers can form the basis of a strong trading idea. Despite significant selling, the price did not drop substantially or update the local low — signaling a local shortage. On the other hand, heavy buying could not push the price higher than the local maximum, which was confirmed by aggregated delta/volume balance data.
This case highlights the importance of a comprehensive approach: analyzing volume, delta, and price behavior together helps identify quality entry and exit points even in high-volatility environments.
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