Trade Signals For SSO SDS Bond James Bond For Thursday, 10/31/2024

New Trades
Strategy	Trades	Status	Change
SSO SDS Bond James Bond	No Trades!	t from PBIntradayTest-) Hello Dan Murphy, Here's the notification based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO (Limit: 93.73) Kindest reg	93.73)
Trades
Action	Limit	Symbol	Description
no trade signals to execute	no trade signals to execute		based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO
Current Positions
Symbol	Description	Days	Total Gain
PBIntradayTest-) Hello Dan Murphy, Here's the notification based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO	based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO	(sent from PBIntradayTest-) Hello Dan Murphy, Here's the notification based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO (Limit: 93.73) Kindest	ew trades (sent from PBIntradayTest-) Hello Dan Murphy, Here's the notification based on data from Monday, 8/28/2006 through Wednesday, 10/30/2024. Any orders should be placed on the open of Thursday, 10/31/2024. – SOTM 2412 – SSO SDS Bond James Bond – -0.630% (NEW TRADES!) Limit sell SSO (Limit: 93.73) Kind

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*Earnings Disclaimer - Click to read*

EARNINGS DISCLAIMER: I like to provide full transparency and not blow smoke up your behind, so listen up.100% Club members in general are seeing between 91%-100% winning months in back tests just using the Instant Start templates I created for them. These results are out-of-sample (unseen in the optimization phase), so I put a lot of weight into that fact.

I don’t yet have a statistic for the average member as far as gains are concerned. There are a lot of variables because this is not a cookie-cutter program. I do have dozens of brokerage statements on file, and the majority are looking positive.

There were a couple outliers that weren’t good because they went off track. I believe I convinced them of where they went wrong and they are back on track (too much leverage, and some over-fitting to the past). That’s my job :)

There are other factors in play as well such as: Are you actually making the trades? Account size. Is your broker any good or are they fleecing you? Are you using all the leverage available to you, or are you dialing it back like I recommend?

Simply put, I believe the reason we’re seeing the highest preliminary success rate of any program EVER is because:

a) you’re selecting from 100+ supercomputer-built strategies, and the odds of them all failing at once are extremely low.

b) the strategies take advantage of highly unusual edges that very few if any know about.

c) Our Meta ML technology is completely unique in the trading world. Very few understand that all strategies have cycles, and that there are opportune times to trade them. This allows you to treat trading more like a business rather than a hobby.

d) The daily instructions are brain-dead simple to follow, and can be accomplished in just a few minutes.

Government required disclaimer: The results listed herein are based on hypothetical trades. Plainly speaking, these trades were not actually executed. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under (or over) compensated for the impact, if any, of certain market factors such as lack of liquidity. You may have done better or worse than the results portrayed.