Jason Strimpel, Matt Dancho – The Quant Scientist Algorithmic Trading System

A uniquely powerful system to Help Python Enthusiasts Use Algorithmic Trading For Investment Growth

The Quant Science Algorithmic Trading System has taught 350+ Python enthusiasts how to go from absolute beginners to growing their investment accounts and gaining financial freedom.

Every beginner faces these…

• Don’t know how to get started
  Are you overwhelmed with the number of different platforms, techniques, and strategies out there for algorithmic trading?
• Not making any progress
  Are you hacking a way at YouTube Videos, listening to podcasts, and never gaining any traction?
• Tough learning finance domain
  Do you find yourself struggling to pick up trading jargon and making sense of it all?

Have you ever…?

• Spent hours on YouTube trying to figure out how to trade with Python
• Paid for a course on trading but have not learned anything
• Heard about “algorithmic trading” but not sure how it works
• Felt scared to make the first step
• Felt overwhelmed with all of the trading strategies (and wanted a more systematic plan)
• Tried to trade by “reading charts” and failed losing money and more confused
• Panicked because a trade didn’t go the way you anticipated (and let emotions take over)
• Held onto losing trades until you were underwater
• Lost a ton of money trading and felt helpless because you didn’t have anyone to talk to

If that’s you…

Then keep reading, my friend, because what happens in the next few minutes could decide if you stay stuck for another year in your daily grind or gain the knowledge that will make you recession-proof in any economy.

Trust us, we know what it’s like…

• Listening to “experts” (but losing money)
• To not have enough savings to be financially independent
• Spending money on courses that did NOT work
• To feel like I could be growing my investments more
• To not know where and how to start algorithmic trading
• To get stuck and have no where to turn for help
• To fail at “technical trading” (drawing lines on a chart)
• And to try every YouTube trading strategy there is, and still lose money

What You’ll Learn In The Quant Scientist Algorithmic Trading System

Step 1: Trading account setup, python setup, and live order execution

• Get the Quant Scientist Python Stack installed
• Create an account with Interactive Brokers
• Set up your Trader Workstation
• Connect Python to the Trader Workstation
• And execute a paper trading strategy risk-free

Step 2: Get our Top 3 Trading Strategies (Live Clinic #1)

• Get our 5-Step Framework for Profitable Trading ($1,999 Value)

Learn our Top 3 Trades:

• Trade 1: Volatility targeting with auto-rebalancing ($2,100 Value)
• Trade 2: Momentum factor with auto-rebalancing ($2,100 Value)
• Trade 3: Algorithmic crack spread versus refiner ($2,100 Value)
• Get Jason and Matt live for an hour and a half ($3,000 Value)

Step 3: Learn how to Backtest the right way (Clinic #2)

• Detailed walkthrough of event-based backtesting ($1,999 Value)
• Backtested portfolio strategies with Zipline Reloaded
• Introduction to factor-based trading strategies ($2,100 Value)
• How to avoid mistakes in backtesting
• And you get Jason and Matt live for an hour and a half ($3,000 Value)

Step 4: Manage Your Risk and Protect Your Money (Live Clinic #3)

• Detailed walkthrough of key performance and risk metrics ($1,999 Value)
• Risk analysis of our trades with Pyfolio Reloaded
• Which KPIs actually matter (and which ones to avoid)
• When to iterate (our core key risk levels) ($1,999 Value)
• How to go directly into paper trading
• Jason and Matt live for an hour and a half ($3,000 Value)

Step 5: Learn Advanced Backtesting (Clinic #4)

• Detailed walkthrough of how to execute and manage your trades ($1,999 Value)
• 1 New Trade: A multi-asset trading strategy ($2,100 Value)
• 1 new technique that gives you 100X faster backtesting ($1,999 Value)
• Jason and Matt live for an hour and a half ($3,000 Value)

Sale Page: Jason Strimpel, Matt Dancho – The Quant Scientist Algorithmic Trading System

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