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AKAM-QQE Deceleration & EMA Filter Strategy

When Momentum Sleeps, the Trade Wakes Up

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Disclaimer: The backtest results in this article are based solely on historical data and do not guarantee future performance. Anyone wishing to use this trading system should conduct their own research and testing before applying it.

The Setup

Akamai Technologies (AKAM) is not a glamorous ticker. It doesn’t trend on Reddit. It doesn’t make headlines every week. What it does do is move — slowly, cyclically, with enough structure for a systematic strategy to find its footing. That’s exactly what we tested.

import pandas as pd
import numpy as np
import yfinance as yf
import vectorbt as vbt

# -------------------------
# Download Data
# -------------------------

symbol = "AKAM"
start_date = "2000-01-01"
end_date = "2026-01-01"
interval = "1d"

df = yf.download(symbol, start=start_date, end=end_date, interval=interval, multi_level_index=False)
df.to_csv("AKAM_clean.csv", index=False)
df

The strategy is built on 2 ideas.

QQE_FACTOR = 4.236
QQE_PERIOD = 14
QQE_SHIFT = 5
QQE_SMOOTH = 5

def calculate_qqe(df…