09 Jul 2026 at 00:54:19

Short Trade on SKHY (BosPullback)

With 0.87 SKHY at 149.28$ per unit. Take profit: 126.3192 (15.38 %) & Stop Loss: 158.4643 (6.15 %)

Short BosPullback on SKHY (09 Jul 2026 at 00:54:19 to 06:35:00 - 5 hours )

With 0.871 SKHY at 149.28$ per unit.

Position size of 130.0301 $
Take profit at 126.3192 (15.38 %) and Stop Loss at 158.4643 (6.15 %)

That's a 2.5 RR Trade
Duration: 5 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.38
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 1

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

09/07 00:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
48%
09/07 04:00
1h ↔ neutral range range moderate grind expansion bear_high
77%
09/07 04:00
15m ↔ neutral transition bearish_transition moderate grind volatile_reversal range_high
37%
09/07 04:30
5m ↔ neutral transition bearish_transition moderate fading compression range_high
51%
09/07 04:45

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 1
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=19|retests=1|break_atr=2.10|prog=0.42|zone=weak|ob:ask_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 158.46433397
  5. tp_price: 126.31916508
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : range
  11. confidence : 0.693
  12. trend_strength : 0.1533
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.1769
  15. low_delta_atr : -2.4958
  16. current_swing_amp_atr : 4.4805
  17. current_swing_speed : 0.2987
  18. current_swing_efficiency : 0.2994
  19. retracement_ratio : 1.7262
  20. extension_ratio : 1.0495
  21. compression_score : 0.91
  22. swing_entropy : 1
  23. breakout_strength : -1.6267
  24. distance_to_last_high_atr : -1.8036
  25. distance_to_last_low_atr : 2.5045
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    158
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.46
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4032
  49. scores_strength_score:
    0.4889
  50. scores_quality_score:
    0.3631
  51. scores_cleanliness_score:
    0.2081
  52. scores_structural_quality:
    0.49
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2613
  55. scores_continuation_score:
    0.4579
  56. scores_structure_score:
    0.3418
  57. scores_volatility_expansion:
    0.7188
  58. scores_momentum_type_score:
    0.524
  59. scores_risk_score:
    0.3698
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0122
  62. features_ema50_slope:
    0.0004
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.0201
  65. features_price_vs_ema50:
    -0.0825
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    19
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5839
  72. features_trend_efficiency:
    0.2994
  73. features_impulse_strength:
    4.4805
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.7262
  76. features_pullback_depth_atr:
    4.5967
  77. features_extension_from_mean:
    -0.0825
  78. features_impulse_decay_score:
    0.4752
  79. features_opposing_wick_pressure:
    0.2561
  80. features_volatility_percentile:
    0.8
  81. features_volatility_delta:
    0.0582
  82. features_body_ratio:
    0.3515
  83. features_closes_position_ratio:
    0.6137
  84. features_slope_consistency:
    0.7956
  85. features_range_position:
    0.3698
  86. features_distance_to_recent_high:
    -4.0053
  87. features_distance_to_recent_low:
    2.3499
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : -0.6742
  99. obi_top10 : -0.54
  100. micro_price : 149.79377483
  101. spread_pct : 0.133636
  102. mid_price : 149.76
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 152
  107. ask_wall_size : 854.2
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.6705
  111. obi_top5_std : 0.0048
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6832
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-07-04 22:00:00
        [price] => 167.38
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-05 05:00:00
        [price] => 165.63
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-05 12:00:00
        [price] => 169.09
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-05 14:00:00
        [price] => 165.18
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-05 16:00:00
        [price] => 168.75
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-05 20:00:00
        [price] => 165.12
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-05 23:00:00
        [price] => 169.29
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-06 02:00:00
        [price] => 151
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-06 15:00:00
        [price] => 160.2
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-06 23:00:00
        [price] => 149.45
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-07 00:00:00
        [price] => 155.8
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-07 05:00:00
        [price] => 140.43
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-07 08:00:00
        [price] => 150.84
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-07 14:00:00
        [price] => 144.1
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-07 16:00:00
        [price] => 150.7
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-07 23:00:00
        [price] => 138.39
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-08 01:00:00
        [price] => 157.19
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-08 02:00:00
        [price] => 149.7
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-08 09:00:00
        [price] => 138.27
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-09 00:00:00
        [price] => 158
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-08 04:00:00
        [price] => 152.92
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-08 04:45:00
        [price] => 145
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-08 05:00:00
        [price] => 149.13
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-08 09:15:00
        [price] => 138.27
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-08 10:30:00
        [price] => 143.04
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-08 11:00:00
        [price] => 140
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-08 14:00:00
        [price] => 150.08
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-08 14:45:00
        [price] => 143.65
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-08 15:00:00
        [price] => 148.55
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-08 21:30:00
        [price] => 153.03
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-08 22:15:00
        [price] => 150.65
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-08 22:30:00
        [price] => 153.23
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-08 23:15:00
        [price] => 150.66
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-09 00:15:00
        [price] => 158
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-09 00:45:00
        [price] => 151.96
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-09 01:15:00
        [price] => 156.22
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-07-09 03:00:00
        [price] => 145.51
        [kind] => low
        [label] => LL
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 149.7
  162. strategy_details
  163. levels_hl_price:
    138.27
  164. levels_hl_timestamp: 2026-07-08 09:00:00
  165. levels_hh_price:
    158
  166. levels_lh_price:
    158
  167. levels_lh_timestamp: 2026-07-09 00:00:00
  168. levels_ll_price:
    138.27
  169. strategy_details
  170. demand_zone_top:
    146.54
  171. demand_zone_bottom:
    138.27
  172. demand_zone_mid:
    142.405
  173. demand_zone_freshness: weak
  174. demand_zone_strength:
    0.6732
  175. strategy_details
  176. supply_zone_top:
    160.2
  177. supply_zone_bottom:
    156.29
  178. supply_zone_mid:
    158.245
  179. supply_zone_freshness: weak
  180. supply_zone_strength:
    0.7719
  181. ¸
  182. regimes
  183. 1H : bear_high
  184. 15m : range_high
  185. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 69%

Trend

Trend Strength
0.153
Persistence
0.500
High Δ ATR
0.177
Low Δ ATR
-2.496

Current Swing

Amp ATR
4.481
Speed
0.299
Efficiency
0.299

Structure

Retracement
1.726
Extension
1.050
Compression
0.910
Entropy
1.000
Breakout Str.
-1.627
Dist High ATR
-1.804
Dist Low ATR
2.505
24 pivots · 23 swings · Last pivot: ↑ 158.0000 @ bar 145

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 46%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk mid_range
htf unknown
Scores
Direction Score 0.403
Strength Score 0.489
Quality Score 0.363
Cleanliness Score 0.208
Structural Quality 0.490
Pullback Score 1.000
Exhaustion Score 0.261
Continuation Score 0.458
Structure Score 0.342
Volatility Expansion 0.719
Momentum Type Score 0.524
Risk Score 0.370
Features
Ema20 Slope
0.012
Ema50 Slope
0.000
Ema Alignment Score
0.333
Price Vs Ema20
0.020
Price Vs Ema50
-0.083
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
19.000
Candle Overlap Ratio
1.000
Wick Ratio
0.584
Trend Efficiency
0.299
Impulse Strength
4.481
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.726
Pullback Depth Atr
4.597
Extension From Mean
-0.083
Impulse Decay Score
0.475
Opposing Wick Pressure
0.256
Volatility Percentile
0.800
Volatility Delta
0.058
Body Ratio
0.352
Closes Position Ratio
0.614
Slope Consistency
0.796
Range Position
0.370
Distance To Recent High
-4.005
Distance To Recent Low
2.350
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6832ms Confidence avant OB : 86%100%

Order Book Imbalance

OBI Top 5 -0.674
avg -0.671 ± 0.005
OBI Top 10 -0.540

Microstructure

Mid Price
149.7600
Micro Price
149.7938
Spread
0.1336%

↓ Ask Wall (Resistance)

Price
152.0000
Size
854.20

📌 Time Data

Start at Closed at Duration
09 Jul 2026
00:54:19
09 Jul 2026
06:35:00
5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
149.28 158.4643 126.3192 2.5 151.67
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 149.28
  • Stop Loss: 158.4643
  • Take Profit: 126.3192

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 158.4643 - 149.28 = 9.1843

  • Récompense (distance jusqu'au take profit):

    E - TP = 149.28 - 126.3192 = 22.9608

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 22.9608 / 9.1843 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
130.0301 100 0.871 1.30
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 9.1843

Taille de position = 8 / 9.1843 = 0.87

Taille de position USD = 0.87 x 149.28 = 129.87

Donc, tu peux acheter 0.87 avec un stoploss a 158.4643

Avec un position size USD de 129.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.87 x 9.1843 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.87 x 22.9608 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position 0.87
  • Taille de position USD 129.87
  • Perte potentielle 7.99
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
15.38 % 20 $
SL % Target SL $ Target
6.15 % 8 $
PNL PNL %
-8 $ -6.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.1562 % 100.06 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.83
            [max_drawdown] => 5.16
            [rr_ratio] => 0.35
            [high] => 154.44000000
            [low] => 147.45000000
            [mfe_pct] => 1.23
            [mae_pct] => 3.46
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2026-07-09T00:54:19-04:00
            [end_at] => 2026-07-09T02:54:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.83
            [max_drawdown] => 10.69
            [rr_ratio] => 0.17
            [high] => 159.97000000
            [low] => 147.45000000
            [mfe_pct] => 1.23
            [mae_pct] => 7.16
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2026-07-09T00:54:19-04:00
            [end_at] => 2026-07-09T07:54:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 156.22000000
            [high_after] => 158.69000000
            [low_before] => 145.51000000
            [low_after] => 147.45000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#4 / n/a OK
seuil : top 15 · score du 09/07/2026 00:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime