Last June I began developing what I call my AI Trading Agent. And it has just 1 simple goal…
To maximize trading profits – while limiting downside risk.
It’s already serving up winning trades including:
- 32.9% on Intel
- 41.7% on Invesco
- 42.3% on Fiserve
- 46.7% on Autodesk
- 57.4% on Adobe
- 60.6% on Home Depot
- 66.0% on SAIA
- 72.1% on Teleflex
- 81.0% on L3Harris
- 125.0% on RLI
Plus, these trades are ALL closed within 30-days!
Here’s how it works…
Every day this AI evaluates 8,639 stocks and ETFs – crunching over 21,770,280 datapoints. It’s working to make sense from thousands of potential trades.
Every day – it filters out 99.9% of trades. And it gives me a list of the 5 – 10 best trades.
Now, I’ve trained this AI Trading Agent to be absolutely ruthless. And I’ve done so by programming it to follow 3 strict rules.
Rule #1: Win +80% of Trades
The AI searches for trades with at least an 80% chance of making money. And it spits out a very precise # to let me know when a trade looks good.
Rule #2: Less Than 60-Day Timeframe
Trades are only made if they can be OPENED and CLOSED within 60-days.
This limits the risk of unforeseen geopolitical or economic events – like a war in Taiwan or a Presidential Election. It also limits the amount of capital required – because you can quickly move from one trade to the next.
Rule #3: 50% Bigger Profits
Every trade has downside risk.
However, the AI only triggers trades when the upside is at least 50% bigger than the downside risk.
For example, if the downside risk is 10%. Then it’s ONLY making that trade if the profit potential is 20% or more.
Ready for your first AI trade?
Ian Wyatt