Daily Trading Report — 2026-06-05

The single decision that most shaped the session was taking both SPHL longs (+1.38R / +$1.28k and +1.06R / +$991.15) while also accepting the BESS long (-1.34R / -$1.25k); those three trades alone netted about +$1.02k of the $2.12k day. The $5–10 bucket did +$1.54k on 7 trades at 57.1% WR and contained both SPHL material winners, which shows that allocating risk to that $5–10 lane was your highest-quality selection today.

In contrast, the $3–5 bucket did -$1.68k on 16 trades at 43.8% WR and held the -1.34R / -$1.25k BESS loser, so roughly 79% of the total day’s $2.12k P&L swing came from one price zone that netted negative. Combining the 45-position count with only 3 material trades (6.7% of the book) shows that most clicks were in sub-1R risk slots, with full-size risk concentrated in just SPHL and BESS.

With the $1–2 and $5–10 buckets both at 57.1% WR and contributing $1.58k and $1.54k respectively on only 14 total trades, the day’s P&L came from a small subset of tickets rather than from broad, even contribution across all 45 trades. The <$0.25 and $0.50–1.00 buckets added $117.42 and $723.61 with 50.0% WR each, so your lower-priced exposure was mildly positive instead of offsetting the $3–5 damage.

Given that 45/45 positions have valid R and E[R] still landed at 0.050R, the numbers show that the positive expectancy across the book survived a -$1.68k hit from the $3–5 bucket because of concentrated strength in SPHL and the other $1–2 and $5–10 names. Overall, the dollar split between +$2.27k from two SPHL trades and -$1.25k from one BESS trade shows that net P&L was dominated by how you handled a single strong ticker versus a single weak one inside neighboring price zones.

Today’s $ win rate of 48.9% (22/45) sits just 1.6pp above the 90d baseline 47.3% (1757/3713), and the precomputed z of 0.209 with p ≈ 0.8341 says the win-rate difference itself is indistinguishable from normal variance. Today’s E[R] at 0.050R is slightly above your 0.046R 90d baseline, so the quality of selected trades per unit risk was marginally better even though the hit rate was statistically the same.

With an average win of $374.15 and average loss of -$265.90, the 1.41:1 reward:risk generated a breakeven WR of 41.5%, meaning the actual 48.9% WR cleared breakeven by 7.4pp and converted that per-trade edge into $2.12k net. The profit factor of 1.35 versus a 90d PF of 1.27 is consistent with the 0.004R E[R] uplift, confirming that today’s mix of wins and losses produced slightly more dollars per dollar of loss than your longer-term mean.

The 7d trend (PF 1.49, WR 48.3% on 294 trades) already runs ahead of the prior 30d PF 1.24 and WR 45.3%, and today’s 1.35 PF and 48.9% WR sit between those regimes, so this session lines up with the ongoing improvement rather than forming a new outlier. Price-bucket math highlights selection leverage: $1–2 and $5–10 together made $3.12k on 14 trades (about $223/trade), while $3–5 lost -$1.68k on 16 trades (about -$105/trade), so reassigning even a few of those 16 trades into your higher-performing buckets would have moved the day’s P&L materially.

Material trades were only 3 out of 45 (6.7%), yet they contributed roughly +$1.02k net, showing that your largest risk units were responsible for about half the day’s profit and that SPHL-sized ideas had more impact than the rest of the book. The lone $100+ trade at -$162.00 and 0.0% WR in that bucket is a tiny fraction of total P&L but numerically confirms that stepping into $100+ names did not add any edge today.

Because 16 trades in $3–5 represent about 35.6% of the book while contributing a net -$1.68k, that single price zone had a larger negative impact than any change in overall win rate versus baseline.