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The Best Deals Today: Asus TUF Gaming Laptop, Saros, 4K Blu-ray Sale, and More

A new weekend has arrived, and today, you can save big on Saros, the Criterion Collection sale, Gears of War: E-Day, Dragon Ball Super, Apple Watch Ultra 4, Xenoblade Chronicles 2, Persona 3 Reload, The Super Mario Galaxy Movie, Star Wars Zero Company, and more. Check out our top picks for Saturday, November 14, below. Save $700 Off this Asus TUF A16 Gaming Laptop It's no secret that building a…

The Best Deals Today: Asus TUF Gaming Laptop, Saros, 4K Blu-ray Sale, and More

This weekend, savvy shoppers can save big on a variety of must-have gaming and entertainment items. The Asus TUF A16 Gaming Laptop is offering a $700 discount, featuring a Ryzen 7 8745HX processor, 16GB of RAM, and an RTX 5060 graphics card. For the PS5 fan, Saros is discounted to $41.99, a great deal for Housemarque's challenging bullet-hell action game.

Sony's Inzone H9 Wireless Gaming Headset is also on sale for $178, a significant discount from its usual $329.99 price. Criterion Collection enthusiasts can take advantage of a 50% off sale, with Frankenstein 4K UHD available for $29.98. Gears of War: E-Day is priced at $60.99, and Dragon Ball Super Complete Series Blu-ray is on sale for $116.25.

Apple Watch Ultra 4 is discounted by $100, bringing the price to $799.99. Dune: Awakening is available for $39.99, and Xenoblade Chronicles 2 + Expansion Pass Bundle is on sale for $39.94. Lastly, The Super Mario Galaxy Movie 4K Collector's Edition is discounted to $12.99, offering the film in 4K, Blu-ray, and digital formats.

Written by urgent.news from IGN's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at ign.com →

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How to Backtest a Trading Strategy in Python Without Building a Framework From Scratch (One Evening)

You found a strategy idea — an SMA cross, a breakout, a mean-reversion fade. The fastest way to lose it is to spend three weekends building your own backtesting engine before you ever test it.

  • Acquire free stock or ETF data using yfinance library with two lines of code
  • Clean data by removing duplicates, filling gaps, and verifying high >= low
  • Utilize backtrader or vectorbt libraries for backtesting without building from scratch

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