Elliott Wave Engine

import pandas as pd, numpy as np
from scipy.signal import argrelextrema

class ElliottWaveEngine:

    @staticmethod
    def find_waves(df: pd.DataFrame, order: int = 10) -> dict:
        """Attempt to identify Elliott Wave structure from swing points."""
        highs_idx = argrelextrema(df["high"].values, np.greater, order=order)[0]
        lows_idx = argrelextrema(df["low"].values, np.less, order=order)[0]
        swings = []
        for i in highs_idx:
            swings.append({"idx": int(i), "price": df["high"].iloc[i], "type": "high", "time": df.index[i]})
        for i in lows_idx:
            swings.append({"idx": int(i), "price": df["low"].iloc[i], "type": "low", "time": df.index[i]})
        swings.sort(key=lambda s: s["idx"])

        # Validate impulse wave rules
        waves = ElliottWaveEngine._classify_impulse(swings)
        return {
            "swings_found": len(swings),
            "waves": waves,
            "current_wave": waves[-1] if waves else None,
            "note": "Elliott Waves are subjective. Multiple valid counts often exist. Use as confluence, not primary signal.",
        }

    @staticmethod
    def _classify_impulse(swings: list) -> list:
        """Check if swing sequence follows 5-wave impulse rules."""
        waves = []
        if len(swings) < 5:
            return [{"wave": "insufficient_data", "swings": len(swings)}]
        for i in range(0, len(swings) - 4, 2):
            s = swings[i:i+5]
            if len(s) < 5: break
            # Basic impulse: up-down-up-down-up (bullish) or reverse
            is_bullish = s[0]["type"] == "low" and s[2]["price"] > s[0]["price"]
            if is_bullish:
                w3_longest = (s[2]["price"] - s[1]["price"]) > (s[0]["price"] if s[0]["type"]=="high" else 0)
                w2_above_w1_start = s[1]["price"] > s[0]["price"]
                waves.append({
                    "type": "impulse_bullish",
                    "wave_1": {"start": round(s[0]["price"], 5), "end": round(s[1]["price"], 5)},
                    "wave_2": {"start": round(s[1]["price"], 5), "end": round(s[2]["price"], 5) if len(s) > 2 else 0},
                    "w2_valid": w2_above_w1_start,
                    "position": i,
                })
        return waves if waves else [{"wave": "no_clear_impulse"}]

    @staticmethod
    def fibonacci_targets(wave_1_start: float, wave_1_end: float, wave_2_end: float) -> dict:
        """Project wave 3 and wave 5 targets using Fibonacci extensions."""
        w1_range = abs(wave_1_end - wave_1_start)
        direction = 1 if wave_1_end > wave_1_start else -1
        return {
            "wave_3_targets": {
                "1.000": round(wave_2_end + direction * w1_range * 1.0, 5),
                "1.618": round(wave_2_end + direction * w1_range * 1.618, 5),
                "2.618": round(wave_2_end + direction * w1_range * 2.618, 5),
            },
            "wave_5_note": "Project from wave 4 end using wave 1 range",
            "invalidation": round(wave_1_start, 5),
        }