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SVIS (Smart Volume Impact Strategy)

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SVIS is an algorithmic trading strategy designed to identify high-probability trend reversals and momentum shifts by analyzing the efficiency of volume distribution.

Core Mechanics:
  • Volume Efficiency Modeling: SVIS calculates the "Impact Delta" — a proprietary metric that measures how much price movement is actually backed by significant volume.

  • Multi-Asset Optimization: Features hardcoded, backtested presets for major cryptocurrencies (BTC, ETH, SOL etc.) and various timeframes.

  • Continuous Evolution: SVIS is regularly updated with new optimized presets for additional assets and timeframes, ensuring the strategy stays aligned with changing market conditions.


Key Advantages:
  • Minimized drawdown in choppy markets.

  • Dynamic signal generation based on volatility.

  • Fully compatible with automated trading engines via streamlined alerts.
Informacje o Wersji
SVIS is an algorithmic trading strategy designed to identify high-probability trend reversals and momentum shifts by analyzing the efficiency of volume distribution.

Core Mechanics:
Volume Efficiency Modeling: SVIS calculates the "Impact Delta" — a proprietary metric that measures how much price movement is actually backed by significant volume.

Multi-Asset Optimization: Features hardcoded, backtested presets for major cryptocurrencies (BTC, ETH, SOL etc.) and various timeframes.

Continuous Evolution: SVIS is regularly updated with new optimized presets for additional assets and timeframes, ensuring the strategy stays aligned with changing market conditions.


Key Advantages:
Minimized drawdown in choppy markets.

Dynamic signal generation based on volatility.

Fully compatible with automated trading engines via streamlined alerts.
Informacje o Wersji
Optimizing Parameters for BTC ETH SOL
Informacje o Wersji
HYPEUSDT
Informacje o Wersji
HYPE
Informacje o Wersji
BTC 5m and 15m
Informacje o Wersji
ETH 15m
Informacje o Wersji
email
Informacje o Wersji
ETH 5m
Informacje o Wersji
ETH and BTC 1D

Wyłączenie odpowiedzialności

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