10 Jul 2026 at 02:54:14

Long Trade on SKHY (BosPullback)

With 1.04 SKHY at 162.96$ per unit. Take profit: 182.1148 (11.75 %) & Stop Loss: 155.2981 (4.7 %)

Long BosPullback on SKHY (10 Jul 2026 at 02:54:14 to 03:45:00 - 3 days )

With 1.0441 SKHY at 162.96$ per unit.

Position size of 170.151 $
Take profit at 182.1148 (11.75 %) and Stop Loss at 155.2981 (4.7 %)

That's a 2.5 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.9
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 : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

Score : 2

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

10/07 02:00

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bull_high_confirmed
61%
10/07 04:00
1h ↑ up transition bullish_transition strong balanced compression bull_high
77%
10/07 06:00
15m ↔ neutral range range moderate balanced compression range_high
46%
10/07 06:30
5m ↔ neutral transition bullish_transition moderate grind compression range_medium
46%
10/07 06:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=9|retests=1|break_atr=1.62|prog=0.53|zone=invalid
  4. stop_price: 155.29809754
  5. tp_price: 182.11475615
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_up
  11. confidence : 1
  12. trend_strength : 0.005
  13. trend_persistence : 0.6667
  14. high_delta_atr : 2.366
  15. low_delta_atr : 2.4628
  16. current_swing_amp_atr : 2.9014
  17. current_swing_speed : 0.96712
  18. current_swing_efficiency : 0.6535
  19. retracement_ratio : 0.5429
  20. extension_ratio : 0.968
  21. compression_score : 1.2457
  22. swing_entropy : 0.9183
  23. breakout_strength : -4.0135
  24. distance_to_last_high_atr : -1.3741
  25. distance_to_last_low_atr : 1.5507
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    155.69
  31. last_pivot_index:
    143
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.601
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6621
  49. scores_strength_score:
    0.6866
  50. scores_quality_score:
    0.3808
  51. scores_cleanliness_score:
    0.233
  52. scores_structural_quality:
    0.5017
  53. scores_pullback_score:
    0.5429
  54. scores_exhaustion_score:
    0.3485
  55. scores_continuation_score:
    0.7603
  56. scores_structure_score:
    0.5859
  57. scores_volatility_expansion:
    0.3923
  58. scores_momentum_type_score:
    0.6784
  59. scores_risk_score:
    0.7682
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0422
  62. features_ema50_slope:
    0.0576
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.0547
  65. features_price_vs_ema50:
    1.0253
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.534
  72. features_trend_efficiency:
    0.6535
  73. features_impulse_strength:
    5.5786
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5429
  76. features_pullback_depth_atr:
    3.0286
  77. features_extension_from_mean:
    1.0253
  78. features_impulse_decay_score:
    0.516
  79. features_opposing_wick_pressure:
    0.2097
  80. features_volatility_percentile:
    0.3
  81. features_volatility_delta:
    0.0185
  82. features_body_ratio:
    0.4607
  83. features_closes_position_ratio:
    0.5944
  84. features_slope_consistency:
    0.7275
  85. features_range_position:
    0.7682
  86. features_distance_to_recent_high:
    -1.7621
  87. features_distance_to_recent_low:
    5.8401
  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 : 0.0259
  99. obi_top10 : 0.2044
  100. micro_price : 162.11422047
  101. spread_pct : 0.191228
  102. mid_price : 162.265
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 165
  107. ask_wall_size : 1904.03
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0264
  111. obi_top5_std : 0.0004
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6953
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-07-05 14:00:00
        [price] => 165.18
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-05 16:00:00
        [price] => 168.75
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-05 20:00:00
        [price] => 165.12
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-05 23:00:00
        [price] => 169.29
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-06 02:00:00
        [price] => 151
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-06 15:00:00
        [price] => 160.2
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-06 23:00:00
        [price] => 149.45
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-07 00:00:00
        [price] => 155.8
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-07 05:00:00
        [price] => 140.43
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-07 08:00:00
        [price] => 150.84
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-07 14:00:00
        [price] => 144.1
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-07 16:00:00
        [price] => 150.7
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-07 23:00:00
        [price] => 138.39
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-08 01:00:00
        [price] => 157.19
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-08 02:00:00
        [price] => 149.7
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-08 09:00:00
        [price] => 138.27
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-09 00:00:00
        [price] => 158
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-09 03:00:00
        [price] => 145.51
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-09 21:00:00
        [price] => 167.78
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-10 00:00:00
        [price] => 155.69
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-09 08:00:00
        [price] => 156.9
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-09 08:15:00
        [price] => 153.2
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-09 10:30:00
        [price] => 158.69
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-09 11:00:00
        [price] => 155.62
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-09 11:45:00
        [price] => 159.97
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-09 12:15:00
        [price] => 156.16
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-09 13:30:00
        [price] => 164.98
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-09 14:15:00
        [price] => 159.6
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-09 17:45:00
        [price] => 166.69
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-09 20:00:00
        [price] => 163.18
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-09 21:00:00
        [price] => 167.78
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-09 21:45:00
        [price] => 163.37
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-09 22:45:00
        [price] => 166.77
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-09 23:30:00
        [price] => 162.77
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-09 23:45:00
        [price] => 165.3
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-10 00:45:00
        [price] => 155.69
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-07-10 01:45:00
        [price] => 164.23
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-07-10 02:15:00
        [price] => 157.86
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-07-10 05:00:00
        [price] => 166
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 158
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    155.69
  166. levels_hl_timestamp: 2026-07-10 00:00:00
  167. levels_hh_price:
    167.78
  168. levels_lh_price:
    167.78
  169. levels_lh_timestamp: 2026-07-09 21:00:00
  170. levels_ll_price:
    155.69
  171. demand_zone :
  172. strategy_details
  173. supply_zone_top:
    169.09
  174. supply_zone_bottom:
    167.69
  175. supply_zone_mid:
    168.39
  176. supply_zone_freshness: tested
  177. supply_zone_strength:
    1.1238
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : range_high
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.005
Persistence
0.667
High Δ ATR
2.366
Low Δ ATR
2.463

Current Swing

Amp ATR
2.901
Speed
0.967
Efficiency
0.654

Structure

Retracement
0.543
Extension
0.968
Compression
1.246
Entropy
0.918
Breakout Str.
-4.014
Dist High ATR
-1.374
Dist Low ATR
1.551
29 pivots · 28 swings · Last pivot: ↓ 155.6900 @ bar 143

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 60%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength strong
exhaustion low
momentum balanced
volatility normal
risk premium
htf unknown
Scores
Direction Score 0.662
Strength Score 0.687
Quality Score 0.381
Cleanliness Score 0.233
Structural Quality 0.502
Pullback Score 0.543
Exhaustion Score 0.349
Continuation Score 0.760
Structure Score 0.586
Volatility Expansion 0.392
Momentum Type Score 0.678
Risk Score 0.768
Features
Ema20 Slope
0.042
Ema50 Slope
0.058
Ema Alignment Score
1.000
Price Vs Ema20
0.055
Price Vs Ema50
1.025
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.534
Trend Efficiency
0.654
Impulse Strength
5.579
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.543
Pullback Depth Atr
3.029
Extension From Mean
1.025
Impulse Decay Score
0.516
Opposing Wick Pressure
0.210
Volatility Percentile
0.300
Volatility Delta
0.019
Body Ratio
0.461
Closes Position Ratio
0.594
Slope Consistency
0.728
Range Position
0.768
Distance To Recent High
-1.762
Distance To Recent Low
5.840
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6953ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.026
avg 0.026 ± 0.000
OBI Top 10 0.204

Microstructure

Mid Price
162.2650
Micro Price
162.1142
Spread
0.1912%

↓ Ask Wall (Resistance)

Price
165.0000
Size
1,904.03

📌 Time Data

Start at Closed at Duration
10 Jul 2026
02:54:14
13 Jul 2026
03:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
162.96 155.2981 182.1148 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 162.96
  • Stop Loss: 155.2981
  • Take Profit: 182.1148

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 155.2981 - 162.96 = -7.6619

  • Récompense (distance jusqu'au take profit):

    E - TP = 162.96 - 182.1148 = -19.1548

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -19.1548 / -7.6619 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
170.151 100 1.0441 1.70
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 -7.6619

Taille de position = 8 / -7.6619 = -1.04

Taille de position USD = -1.04 x 162.96 = -169.48

Donc, tu peux acheter -1.04 avec un stoploss a 155.2981

Avec un position size USD de -169.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1.04 x -7.6619 = 7.97

Si Stop Loss atteint, tu perdras 7.97$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1.04 x -19.1548 = 19.92

Si Take Profit atteint, tu gagneras 19.92$

Résumé

  • Taille de position -1.04
  • Taille de position USD -169.48
  • Perte potentielle 7.97
  • Gain potentiel 19.92
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
11.75 % 20 $
SL % Target SL $ Target
4.7 % 8 $
PNL PNL %
-8 $ -4.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.2099 % 110.81 % 38

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.23999999999998
            [max_drawdown] => 3.15
            [rr_ratio] => 0.08
            [high] => 163.20000000
            [low] => 159.81000000
            [mfe_pct] => 0.15
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2026-07-10T02:54:14-04:00
            [end_at] => 2026-07-10T04:54:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.94
            [max_drawdown] => 4.96
            [rr_ratio] => 1.4
            [high] => 169.90000000
            [low] => 158.00000000
            [mfe_pct] => 4.26
            [mae_pct] => 3.04
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 84
            [start_at] => 2026-07-10T02:54:14-04:00
            [end_at] => 2026-07-10T09:54:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 166.00000000
            [high_after] => 165.78000000
            [low_before] => 160.20000000
            [low_after] => 159.81000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#1 / n/a OK
seuil : top 15 · score du 10/07/2026 02:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime