Automated Trading for Prop Firms Explained | TradersPost Deep Dive

Automated Trading for Prop Firms Explained | TradersPost Deep Dive

1 Stunde 3 Minuten

Beschreibung

vor 1 Monat

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  





Sponsor: Tradezella


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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.





Try TradersPost Today!!


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


Code: ASFX to save 20%





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


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⁠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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