Q1: Solution
You might have already noticed, that your FxMarketEVENTs
data will in principle never match the condition:
Bid < DayOpen - StopLossLevel
The anatomy of calculus is following:
/* ----------------------------------------------------------------------------
...............dHIGH[1] ~ 1.22ooo
|
| ....... dHIGH[0] ~ 1.2oooo
| |
dOPEN[0]...|..... | ~ 1.18ooo
[ ] [ ]
[ ] [ ]
[ ] [ ]______ dCLOSE[0] _______________ <Bid> ~ 1.12345 _________
[ ] |
[ ] |
dOPEN[1] _[ ] | ..... dLOW[0] ~ 1.1oooo
|
|
| ............. dLOW[1]
------------------------------------------------------------------------------ */
StopLossLevel = Bid - Point * StopLoss;
// -------------
// StopLossLevel ~ 1.12345 - 0.00010;
// StopLossLevel ~ 1.12335;
if ( Bid < DayOpen - StopLossLevel ){...}
if ( 1.12345 < 1.10000 - 1.12335 ){...}
if ( 1.12345 < -0.02335 ){...} // which it NEVER could be
Comparing numbers and using PriceDOMAIN
values in XTO requires a bit more care in MQL4.
A good programming practice for safe MQL4 code-execution recommends:
// StopLossLevel = Bid - ( _Point * StopLoss ); Calculus-safe
// StopLossLevel = NormalizeDouble( Bid - ( _Point * StopLoss ),
// _Digits XTO-safe
);
Epilogue
Q2 has been covered in another answer.
Adding a few cents here, to the reasoning provided there, the profitability is heavily dependent on many attributes.
So as to illustrate the industry experience, let me present you a view into a sensitivity of profit, visually reduced into a single-dimension graph:

You may observe configurations of the very same algorithm to provide yields of about +1500% profits altogether with settings, that do not allow to produce, with the very same behaviour, more than about +20% .. +80%.
It is common to have pretty high-dimensionality parametrisation spaces in quant-modelling, which do not have any simple projection into 2D, 3D, 4D or 5D display-able graphics.

Thus, without thorough quantitative data, any statement about any strategy profitability is, paraphrased the famous Deming quote, "just another opinion".