Automated Trading for Prop Firms Explained | TradersPost Deep Dive

Automated Trading for Prop Firms Explained | TradersPost Deep Dive

In this episode, Austin sits down with Mike from Trader Post to unpack automation, prop firm scaling, and the future of retail trading tech. Mike shares his wild early-crypto story — including holding nearly 1,000 Bitcoin during the 2013–2014 era — and how that journey led him from valuation investing, to arbitrage, to building automated mean-reversion and trend-following systems.

He explains how Trader Post became the “Zapier of trading,” letting traders fire one signal and execute across dozens of accounts, brokers, and asset classes simultaneously. The two dive deep into the prop-firm boom, how automation fits into scaling, and why risk management matters more than any strategy.


Sponsor: Breakout Prop

Link: https://www.breakoutprop.com/

Code: ASFX


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The episode also explores AI’s rapid influence on trading — from generating indicators and strategies to soon analyzing trader behavior, reactions, and performance. Mike breaks down the biggest mistakes he sees retail traders make, how to know if you’re a trend or mean-reversion trader, and why most people fail because they rush instead of collecting real data.

They wrap with insights on diversification, long-term portfolio building, and why the next decade of trading will reward those who embrace technology, automation, and disciplined execution.


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Link: https://traderspost.io/?via=ASFX

Code: ASFX to save 20%


Connect with Mike: https://x.com/TradersPostInc

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🔍 See the order flow like never before

🔗 ⁠https://bookmap.com/members/aff/go/thesilverinvestm?i=144⁠ -----Timestamps 5:12 — From Fundamentals to Technicals11:40 — Building the First Automated Systems17:30 — What Trader Post Actually Does22:45 — Why Prop Firms Exploded on Trader Post29:18 — Live Example: Copy Trading Multiple Accounts35:04 — Slippage, Execution, and Speed41:22 — Who Automation Is Actually For46:50 — Biggest Mistakes Traders Make55:10 — The Future: AI + Trading Analytics

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