09 Jul 2026 at 23:06:15

Long Trade on SKHY (BosPullback)

With 1.18 SKHY at 162$ per unit. Take profit: 178.9667 (10.47 %) & Stop Loss: 155.2133 (4.19 %)

Long BosPullback on SKHY (09 Jul 2026 at 23:06:15 to 03:45:00 - 3 days )

With 1.1788 SKHY at 162$ per unit.

Position size of 190.9622 $
Take profit at 178.9667 (10.47 %) and Stop Loss at 155.2133 (4.19 %)

That's a 2.5 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 7.1
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 : range_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
56%
10/07 03:00
5m ↔ neutral range range moderate grind compression range_high
44%
10/07 03:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.94
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.64|prog=0.52|zone=invalid|ob:bid_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 155.21331828
  5. tp_price: 178.9667043
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 2.3959
  15. low_delta_atr : 2.4939
  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 : -4.0397
  24. distance_to_last_high_atr : -1.416
  25. distance_to_last_low_atr : 1.5458
  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 : 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 : 0.6
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.661
  49. scores_strength_score:
    0.7041
  50. scores_quality_score:
    0.3813
  51. scores_cleanliness_score:
    0.2189
  52. scores_structural_quality:
    0.5142
  53. scores_pullback_score:
    0.5429
  54. scores_exhaustion_score:
    0.3664
  55. scores_continuation_score:
    0.7545
  56. scores_structure_score:
    0.5859
  57. scores_volatility_expansion:
    0.3249
  58. scores_momentum_type_score:
    0.6797
  59. scores_risk_score:
    0.765
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0349
  62. features_ema50_slope:
    0.0568
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.2036
  65. features_price_vs_ema50:
    1.207
  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:
    0.5621
  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:
    1.207
  78. features_impulse_decay_score:
    0.516
  79. features_opposing_wick_pressure:
    0.2175
  80. features_volatility_percentile:
    0.28
  81. features_volatility_delta:
    -0.0646
  82. features_body_ratio:
    0.4201
  83. features_closes_position_ratio:
    0.625
  84. features_slope_consistency:
    0.7982
  85. features_range_position:
    0.765
  86. features_distance_to_recent_high:
    -1.8103
  87. features_distance_to_recent_low:
    5.8927
  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 : 0.5606
  99. obi_top10 : 0.5371
  100. micro_price : 161.64850242
  101. spread_pct : 0.222717
  102. mid_price : 161.82
  103. bid_wall_price : 159
  104. bid_wall_size : 4143.85
  105. bid_wall_dist_atr :
  106. ask_wall_price : 165
  107. ask_wall_size : 1416.5
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.5616
  111. obi_top5_std : 0.0006
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6901
  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] => HL
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-09 08:00:00
        [price] => 156.9
        [kind] => high
        [label] => HH
    )
    
  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. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    169.09
  175. supply_zone_bottom:
    167.69
  176. supply_zone_mid:
    168.39
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    1.1246
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : range_high
  183. ¸

Signaux confirmants (4)

# Heure Entry Δ
1 23:06 162.00000000 0%
2 23:12 162.54000000 +0.333%
3 23:18 162.58000000 +0.358%
4 23:24 162.69000000 +0.426%

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
2.396
Low Δ ATR
2.494

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.
-4.040
Dist High ATR
-1.416
Dist Low ATR
1.546
29 pivots · 28 swings · Last pivot: ↓ 155.6900 @ bar 146

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 0.661
Strength Score 0.704
Quality Score 0.381
Cleanliness Score 0.219
Structural Quality 0.514
Pullback Score 0.543
Exhaustion Score 0.366
Continuation Score 0.755
Structure Score 0.586
Volatility Expansion 0.325
Momentum Type Score 0.680
Risk Score 0.765
Features
Ema20 Slope
0.035
Ema50 Slope
0.057
Ema Alignment Score
1.000
Price Vs Ema20
0.204
Price Vs Ema50
1.207
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
0.562
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
1.207
Impulse Decay Score
0.516
Opposing Wick Pressure
0.218
Volatility Percentile
0.280
Volatility Delta
-0.065
Body Ratio
0.420
Closes Position Ratio
0.625
Slope Consistency
0.798
Range Position
0.765
Distance To Recent High
-1.810
Distance To Recent Low
5.893
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6901ms Confidence avant OB : 79%94%

Order Book Imbalance

OBI Top 5 0.561
avg 0.562 ± 0.001
OBI Top 10 0.537

Microstructure

Mid Price
161.8200
Micro Price
161.6485
Spread
0.2227%

↑ Bid Wall (Support)

Price
159.0000
Size
4,143.85

↓ Ask Wall (Resistance)

Price
165.0000
Size
1,416.50

📌 Time Data

Start at Closed at Duration
09 Jul 2026
23:06:15
13 Jul 2026
03:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
162 155.2133 178.9667 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 162
  • Stop Loss: 155.2133
  • Take Profit: 178.9667

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 155.2133 - 162 = -6.7867

  • Récompense (distance jusqu'au take profit):

    E - TP = 162 - 178.9667 = -16.9667

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -16.9667 / -6.7867 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
190.9622 100 1.1788 1.91
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 -6.7867

Taille de position = 8 / -6.7867 = -1.18

Taille de position USD = -1.18 x 162 = -191.16

Donc, tu peux acheter -1.18 avec un stoploss a 155.2133

Avec un position size USD de -191.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1.18 x -6.7867 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1.18 x -16.9667 = 20.02

Si Take Profit atteint, tu gagneras 20.02$

Résumé

  • Taille de position -1.18
  • Taille de position USD -191.16
  • Perte potentielle 8.01
  • Gain potentiel 20.02
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
10.47 % 20 $
SL % Target SL $ Target
4.19 % 8 $
PNL PNL %
-8 $ -4.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.6481 % 110.95 % 47

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4
            [max_drawdown] => 0.40000000000001
            [rr_ratio] => 10
            [high] => 166.00000000
            [low] => 161.60000000
            [mfe_pct] => 2.47
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 10
            [candles_analyzed] => 24
            [start_at] => 2026-07-09T23:06:15-04:00
            [end_at] => 2026-07-10T01:06:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4
            [max_drawdown] => 2.19
            [rr_ratio] => 1.83
            [high] => 166.00000000
            [low] => 159.81000000
            [mfe_pct] => 2.47
            [mae_pct] => 1.35
            [mfe_mae_ratio] => 1.83
            [candles_analyzed] => 84
            [start_at] => 2026-07-09T23:06:15-04:00
            [end_at] => 2026-07-10T06:06:15-04:00
        )

    [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
94 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime