OrderFlows – 10 Weeks Summer Program 2025 – Mike Valtos

This Program is For You If:

  • You’re a beginner trader who wants to build a rock-solid foundation in order flow from the start.

  • You’re an intermediate trader who understands the basics but wants to take your analysis to the next level.

  • You’re an advanced trader who wants to refine your edge and learn proprietary techniques you won’t find anywhere else.

  • You’re tired of inconsistent results and want a proven framework for understanding market dynamics.

  • You’re ready to stop guessing and start making trading decisions with clarity and confidence.

Over the course of 15 live sessions, we’ll go deep into the nitty-gritty of order flow analysis.

Here’s a Glimpse of What You’ll Master Inside The Order flows Summer Trading Program:

  • Unlocking “Staircase” Volume Patterns. Discover how to spot these powerful patterns that signal impending breakouts and trend continuations.

  • The Art of “Stop-Loss Hunting” Footprint Analysis. Learn to identify when large players are engineering moves to trigger stop-loss orders – and how to trade alongside them.

  • Seeing in the Dark with “Shadow Prints”. I’ll teach you how to recognize the subtle footprints of institutional traders, giving you a crucial edge.

  • Pinpointing “Volume Tipping Points”. Master the ability to identify the precise moments when supply and demand are shifting, allowing you to get in on moves early.

  • The Proprietary “Footprint DNA” Strategy. This is my signature strategy for dissecting the order flow to understand the market’s true intentions.

  • Decoding “Delta Compression”. Learn how to spot when a trend is running out of steam and a reversal is on the horizon.

  • Differentiating Emotional vs. Algorithmic Footprints. Gain a massive advantage by understanding who is in control of the market – retail traders or institutions.

  • Integration and Live Market Analysis. We’ll bring everything together, analyzing the live market and putting your newfound skills to the test in real-time.