09 Jul 2026 at 23:54:15

Long Trade on SKHY (BosPullback)

With 0.89 SKHY at 164.24$ per unit. Take profit: 186.7957 (13.73 %) & Stop Loss: 155.2177 (5.49 %)

Long BosPullback on SKHY (09 Jul 2026 at 23:54:15 to 03:45:00 - 3 days )

With 0.8867 SKHY at 164.24$ per unit.

Position size of 145.6303 $
Take profit at 186.7957 (13.73 %) and Stop Loss at 155.2177 (5.49 %)

That's a 2.5 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.81
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 : bull_low

Score : 3

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

09/07 23:00

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bull_high_confirmed
59%
10/07 00:00
1h ↑ up transition bullish_transition strong balanced normal bull_high
79%
10/07 03:00
15m ↔ neutral range range moderate balanced volatile_reversal bull_high
57%
10/07 03:30
5m ↔ neutral range range strong grind compression range_high
46%
10/07 03:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=6|retests=1|break_atr=1.53|prog=0.61|zone=tested|ob:bid_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 155.21770137
  5. tp_price: 186.79574657
  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 : pullback_up
  11. confidence : 1
  12. trend_strength : 0.005
  13. trend_persistence : 0.6667
  14. high_delta_atr : 2.2348
  15. low_delta_atr : 2.3262
  16. current_swing_amp_atr : 2.9013
  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 : -4.0125
  24. distance_to_last_high_atr : -1.0763
  25. distance_to_last_low_atr : 1.6864
  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:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.606
  46. state : up_early_expansion_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.661
  49. scores_strength_score:
    0.7041
  50. scores_quality_score:
    0.3804
  51. scores_cleanliness_score:
    0.217
  52. scores_structural_quality:
    0.5142
  53. scores_pullback_score:
    0.5429
  54. scores_exhaustion_score:
    0.378
  55. scores_continuation_score:
    0.751
  56. scores_structure_score:
    0.5859
  57. scores_volatility_expansion:
    0.6379
  58. scores_momentum_type_score:
    0.6805
  59. scores_risk_score:
    0.7995
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0352
  62. features_ema50_slope:
    0.0519
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.3907
  65. features_price_vs_ema50:
    1.2868
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.566
  72. features_trend_efficiency:
    0.6535
  73. features_impulse_strength:
    5.5786
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.5429
  76. features_pullback_depth_atr:
    3.0286
  77. features_extension_from_mean:
    1.2868
  78. features_impulse_decay_score:
    0.516
  79. features_opposing_wick_pressure:
    0.2362
  80. features_volatility_percentile:
    0.66
  81. features_volatility_delta:
    0.0629
  82. features_body_ratio:
    0.4316
  83. features_closes_position_ratio:
    0.6064
  84. features_slope_consistency:
    0.8024
  85. features_range_position:
    0.7995
  86. features_distance_to_recent_high:
    -1.3592
  87. features_distance_to_recent_low:
    5.4192
  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 : 0.7713
  99. obi_top10 : 0.3518
  100. micro_price : 163.19833333
  101. spread_pct : 0.361741
  102. mid_price : 163.395
  103. bid_wall_price : 160
  104. bid_wall_size : 4931.86
  105. bid_wall_dist_atr :
  106. ask_wall_price : 170
  107. ask_wall_size : 2491.11
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.7712
  111. obi_top5_std : 0.0061
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6894
  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 03:45:00
        [price] => 151
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-09 05:30:00
        [price] => 147.45
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-09 08:00:00
        [price] => 156.9
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-09 08:15:00
        [price] => 153.2
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-09 10:30:00
        [price] => 158.69
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-09 11:00:00
        [price] => 155.62
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-09 11:45:00
        [price] => 159.97
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-09 12:15:00
        [price] => 156.16
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-09 13:30:00
        [price] => 164.98
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-09 14:15:00
        [price] => 159.6
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-09 17:45:00
        [price] => 166.69
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-09 20:00:00
        [price] => 163.18
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-09 21:00:00
        [price] => 167.78
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-09 21:45:00
        [price] => 163.37
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-09 22:45:00
        [price] => 166.77
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-09 23:30:00
        [price] => 162.77
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-07-09 23:45:00
        [price] => 165.3
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-07-10 00:45:00
        [price] => 155.69
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-07-10 01:45:00
        [price] => 164.23
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-07-10 02:15:00
        [price] => 157.86
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 158
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    155.69
  167. levels_hl_timestamp: 2026-07-10 00:00:00
  168. levels_hh_price:
    167.78
  169. levels_lh_price:
    167.78
  170. levels_lh_timestamp: 2026-07-09 21:00:00
  171. levels_ll_price:
    155.69
  172. strategy_details
  173. demand_zone_top:
    153.12
  174. demand_zone_bottom:
    145.51
  175. demand_zone_mid:
    149.315
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.705
  178. strategy_details
  179. supply_zone_top:
    169.09
  180. supply_zone_bottom:
    167.69
  181. supply_zone_mid:
    168.39
  182. supply_zone_freshness: tested
  183. supply_zone_strength:
    1.1246
  184. ¸
  185. regimes
  186. 1H : bull_high
  187. 15m : bull_high
  188. ¸

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
2.235
Low Δ ATR
2.326

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.
-4.013
Dist High ATR
-1.076
Dist Low ATR
1.686
29 pivots · 28 swings · Last pivot: ↓ 155.6900 @ bar 146

Trend Analyzer 1H

1H ↑ up up_early_expansion_explosive
Confidence 61%

Context

phase early_expansion
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion
risk premium
htf unknown
Scores
Direction Score 0.661
Strength Score 0.704
Quality Score 0.380
Cleanliness Score 0.217
Structural Quality 0.514
Pullback Score 0.543
Exhaustion Score 0.378
Continuation Score 0.751
Structure Score 0.586
Volatility Expansion 0.638
Momentum Type Score 0.681
Risk Score 0.800
Features
Ema20 Slope
0.035
Ema50 Slope
0.052
Ema Alignment Score
1.000
Price Vs Ema20
0.391
Price Vs Ema50
1.287
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.566
Trend Efficiency
0.654
Impulse Strength
5.579
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.543
Pullback Depth Atr
3.029
Extension From Mean
1.287
Impulse Decay Score
0.516
Opposing Wick Pressure
0.236
Volatility Percentile
0.660
Volatility Delta
0.063
Body Ratio
0.432
Closes Position Ratio
0.606
Slope Consistency
0.802
Range Position
0.800
Distance To Recent High
-1.359
Distance To Recent Low
5.419
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6894ms Confidence avant OB : 86%100%

Order Book Imbalance

OBI Top 5 0.771
avg 0.771 ± 0.006
OBI Top 10 0.352

Microstructure

Mid Price
163.3950
Micro Price
163.1983
Spread
0.3617%

↑ Bid Wall (Support)

Price
160.0000
Size
4,931.86

↓ Ask Wall (Resistance)

Price
170.0000
Size
2,491.11

📌 Time Data

Start at Closed at Duration
09 Jul 2026
23:54:15
13 Jul 2026
03:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
164.24 155.2177 186.7957 2.5 152.96
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 164.24
  • Stop Loss: 155.2177
  • Take Profit: 186.7957

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 155.2177 - 164.24 = -9.0223

  • Récompense (distance jusqu'au take profit):

    E - TP = 164.24 - 186.7957 = -22.5557

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -22.5557 / -9.0223 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
145.6303 100 0.8867 1.46
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 -9.0223

Taille de position = 8 / -9.0223 = -0.89

Taille de position USD = -0.89 x 164.24 = -146.17

Donc, tu peux acheter -0.89 avec un stoploss a 155.2177

Avec un position size USD de -146.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.89 x -9.0223 = 8.03

Si Stop Loss atteint, tu perdras 8.03$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.89 x -22.5557 = 20.07

Si Take Profit atteint, tu gagneras 20.07$

Résumé

  • Taille de position -0.89
  • Taille de position USD -146.17
  • Perte potentielle 8.03
  • Gain potentiel 20.07
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
13.73 % 20 $
SL % Target SL $ Target
5.49 % 8 $
PNL PNL %
-8 $ -5.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.9486 % 108.29 % 35

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.76
            [max_drawdown] => 2.48
            [rr_ratio] => 0.71
            [high] => 166.00000000
            [low] => 161.76000000
            [mfe_pct] => 1.07
            [mae_pct] => 1.51
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2026-07-09T23:54:15-04:00
            [end_at] => 2026-07-10T01:54:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.76
            [max_drawdown] => 4.43
            [rr_ratio] => 0.4
            [high] => 166.00000000
            [low] => 159.81000000
            [mfe_pct] => 1.07
            [mae_pct] => 2.7
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 84
            [start_at] => 2026-07-09T23:54:15-04:00
            [end_at] => 2026-07-10T06:54:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 165.30000000
            [high_after] => 166.00000000
            [low_before] => 155.69000000
            [low_after] => 159.81000000
            [is_new_high] => 1
            [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 09/07/2026 23:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime