TWO new brand-new setups for everyone in attendance at 11 a.m. ET today!
Algorithmic trading has evolved into a force driving billions of dollars in market flows. I’ve been tracking the data and it appears that U.S. markets are net short by over $20 billion — reflecting an aggressive strategy that capitalizes on significant price declines.
Algorithms exhibit a quiet confidence when prices tick upward but erupt in activity on steep dips. A modest decline invites little movement while a large drop triggers strong buying.
This selective engagement creates conditions for a potential V-shaped recovery.
Although these trends are based on simulated flows and educated guesses, they underline a calculated approach in navigating market volatility. For example, when notable dips occur in sectors like Financials (XLF) or Technology (XLK), automated systems step in with buying power to defend key levels.
These models may not be perfect, but they indicate that algos favor stability and are set to counter abrupt market moves.
Market Implications
Traders and investors should note the balance between automated selling and reactive buying. A minor dip may be just normal market noise rather than a cause for alarm.
However, a significant drop below critical support levels could prompt a swift influx of algo buying — temporarily boosting prices until major catalysts, such as economic reports or shifts in sentiment, come into play.
The current environment poses both opportunities and challenges. The sheer scale of these trades — billions of dollars in market activity — underscores the increasing reliance on algo trading to manage market dynamics.
Investors need to blend traditional technical analysis with an understanding of these hidden flows. As the market continues to digest this balance, being mindful of how automated trading affects volatility can help inform both short-term decisions and long-term strategies.
Unique insights like these underscore the evolving landscape of trading. While algorithms are not sentient, they are programmed to act on patterns that reflect collective market behavior.
Staying alert to these trends is crucial as we anticipate the next move in a market where price action is as much about calculated risk as it is about human sentiment.
If you want to learn more about the algo I programmed myself, I’ll be live at 11 a.m ET today, March 12 — I’ll even share TWO stocks that just signaled!
My algo has published 896 trades since June 6 with a win rate of 69%!
Thanks for tuning in — keep your eyes on those flows and adjust your strategies accordingly.
Jeffry Turnmire
Jeffry Turnmire Trading
I host my “Morning Monster” livestream at 9:15 a.m. ET each weekday on YouTube, and then “30 Minutes of Awesome” at 5 p.m. ET each Tuesday!
Please check out my channel and hit that Subscribe button!
You can also follow along and join the conversation for real-time analysis, trade ideas, market insights and more!
- Telegram:https://t.me/+6TdDE7-F6GlhMmJh
Important Note: No one from the ProsperityPub team or Jeffry Turnmire Trading will ever message you directly on Telegram.
I’m just a regular dude in Knoxville, Tennessee: a husband, father, civil engineer, urban farmer, maker and trader.
I’ve been at this trading thing with real money for 20-plus years, and started paper trading over 35 years ago. I have a knack for making some epic predictions that just may very well come true. Why share them? Because I like helping other people — it’s the Eagle Scout in me.
*This is for informational and educational purposes only. There is inherent risk in trading, so trade at your own risk.
P.S. ALERT: Trading System With 3.2 Daily Win Average Flags TWO Simultaneous Setups
My system has identified TWO stocks showing the exact pattern structure that forms before big moves.
And at 11 a.m. ET today, March 12, I’m revealing both ticker symbols, exact price targets, and their complete historical performance metrics!
Stated results are from hypothetical options applied to real published trade alerts. From 4/17/24 – 3/5/24 the result was a 72% win rate on 1,049 trade signals with an average hold time of 3 days on the underlying stock. Performance is not indicative of future results. Trade at your own risk and never risk more than you can afford to lose.
