Fe Expression Script Sushi X Top -

// Volume Climax Check avg_volume = ema(volume, 20) volume_climax = volume > avg_volume * 2.5 and volume[1] < avg_volume[1] * 1.5

// Sushi Specific: Pool Depth Check // (Requires external data feed for reserve_x and reserve_y) quote_reserve_pct = reserve_quote / (reserve_base + reserve_quote) liquidity_shock = quote_reserve_pct < liquidity_threshold

In the evolving world of quantitative finance and automated trading, raw intuition has taken a backseat to algorithmic precision. For traders who swim in the deep waters of DeFi (Decentralized Finance) and high-frequency equity markets, the term FE Expression Script is becoming as common as a candlestick chart. fe expression script sushi x top

This article dissects how to write an FE Expression Script to detect the "Sushi X Top" and why this signal is a game-changer for mean-reversion traders. First, let’s break down the jargon. In quantitative analysis, an Expression Script is a lightweight piece of code (often using syntax similar to Pine Script, Python, or platform-specific DSLs) that allows you to write mathematical expressions directly against time-series data.

But a new, hybrid strategy is emerging from trading chat rooms and GitHub repositories: the strategy. This methodology combines the mathematical rigor of Financial Engineering (FE) with the volatile liquidity dynamics of SushiSwap (and similar AMMs) to identify the precise moment an asset reaches a local Top . // Volume Climax Check avg_volume = ema(volume, 20)

signal = crossover(close, ema(close, 20))

// Velocity & Acceleration (Savitsky-Golay inspired smooth derivative) price_smooth = ema(close, 5) velocity = (price_smooth - price_smooth[4]) / 4 acceleration = (velocity - velocity[3]) / 3 First, let’s break down the jargon

// FE Expression Script: Sushi X Top Detector v1.0 // Works on SushiSwap pairs (ETH-DAI, etc.) // Inputs length = 14 volatility_window = 20 liquidity_threshold = 0.08 // 8% quote reserve left