09 Jul 2026 at 21:36:14

Long Trade on SKHY (BosPullback)

With 0.93 SKHY at 163.83$ per unit. Take profit: 185.3744 (13.15 %) & Stop Loss: 155.2122 (5.26 %)

Long BosPullback on SKHY (09 Jul 2026 at 21:36:14 to 03:45:00 - 3 days )

With 0.9283 SKHY at 163.83$ per unit.

Position size of 152.086 $
Take profit at 185.3744 (13.15 %) and Stop Loss at 155.2122 (5.26 %)

That's a 2.5 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.27
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 : bull_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 21:00

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 moderate grind compression bull_high
79%
10/07 01:00
15m ↔ neutral transition bearish_transition moderate grind volatile_reversal bull_high
59%
10/07 01:30
5m ↔ neutral transition bearish_transition moderate grind volatile_reversal range_high
38%
10/07 01:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.69
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=4|retests=1|break_atr=1.55|prog=0.67|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 155.21224267
  5. tp_price: 185.37439334
  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 : 2.2646
  15. low_delta_atr : 2.3572
  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 : -4.2282
  24. distance_to_last_high_atr : -0.9285
  25. distance_to_last_low_atr : 1.8709
  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:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : explosive
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.583
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6671
  49. scores_strength_score:
    0.7216
  50. scores_quality_score:
    0.3915
  51. scores_cleanliness_score:
    0.2314
  52. scores_structural_quality:
    0.5225
  53. scores_pullback_score:
    0.5429
  54. scores_exhaustion_score:
    0.401
  55. scores_continuation_score:
    0.7465
  56. scores_structure_score:
    0.5859
  57. scores_volatility_expansion:
    0.5357
  58. scores_momentum_type_score:
    0.7045
  59. scores_risk_score:
    0.8221
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0756
  62. features_ema50_slope:
    0.0691
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.5806
  65. features_price_vs_ema50:
    1.5417
  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:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5373
  72. features_trend_efficiency:
    0.6535
  73. features_impulse_strength:
    5.5786
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.5429
  76. features_pullback_depth_atr:
    3.0286
  77. features_extension_from_mean:
    1.5417
  78. features_impulse_decay_score:
    0.516
  79. features_opposing_wick_pressure:
    0.2389
  80. features_volatility_percentile:
    0.62
  81. features_volatility_delta:
    -0.0544
  82. features_body_ratio:
    0.4525
  83. features_closes_position_ratio:
    0.6103
  84. features_slope_consistency:
    0.898
  85. features_range_position:
    0.8221
  86. features_distance_to_recent_high:
    -1.219
  87. features_distance_to_recent_low:
    5.6313
  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 : -0.3378
  99. obi_top10 : -0.5005
  100. micro_price : 163.57162667
  101. spread_pct : 0.018341
  102. mid_price : 163.585
  103. bid_wall_price : 160
  104. bid_wall_size : 1504.31
  105. bid_wall_dist_atr :
  106. ask_wall_price : 170
  107. ask_wall_size : 2579.748
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.3512
  111. obi_top5_std : 0.0081
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6891
  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 01:15:00
        [price] => 156.22
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-09 03:00:00
        [price] => 145.51
        [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. bos_level_long : 158
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    155.69
  165. levels_hl_timestamp: 2026-07-10 00:00:00
  166. levels_hh_price:
    167.78
  167. levels_lh_price:
    167.78
  168. levels_lh_timestamp: 2026-07-09 21:00:00
  169. levels_ll_price:
    155.69
  170. strategy_details
  171. demand_zone_top:
    153.12
  172. demand_zone_bottom:
    145.51
  173. demand_zone_mid:
    149.315
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.705
  176. strategy_details
  177. supply_zone_top:
    169.09
  178. supply_zone_bottom:
    167.69
  179. supply_zone_mid:
    168.39
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    1.1245
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 21:36 163.83000000 0%
2 21:42 163.83000000 0%

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
2.265
Low Δ ATR
2.357

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.
-4.228
Dist High ATR
-0.929
Dist Low ATR
1.871
29 pivots · 28 swings · Last pivot: ↓ 155.6900 @ bar 148

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 58%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility normal
risk approaching_resistance
htf unknown
Scores
Direction Score 0.667
Strength Score 0.722
Quality Score 0.392
Cleanliness Score 0.231
Structural Quality 0.523
Pullback Score 0.543
Exhaustion Score 0.401
Continuation Score 0.747
Structure Score 0.586
Volatility Expansion 0.536
Momentum Type Score 0.705
Risk Score 0.822
Features
Ema20 Slope
0.076
Ema50 Slope
0.069
Ema Alignment Score
1.000
Price Vs Ema20
0.581
Price Vs Ema50
1.542
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.537
Trend Efficiency
0.654
Impulse Strength
5.579
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.543
Pullback Depth Atr
3.029
Extension From Mean
1.542
Impulse Decay Score
0.516
Opposing Wick Pressure
0.239
Volatility Percentile
0.620
Volatility Delta
-0.054
Body Ratio
0.453
Closes Position Ratio
0.610
Slope Consistency
0.898
Range Position
0.822
Distance To Recent High
-1.219
Distance To Recent Low
5.631
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6891ms Confidence avant OB : 79%69%

Order Book Imbalance

OBI Top 5 -0.338
avg -0.351 ± 0.008
OBI Top 10 -0.501

Microstructure

Mid Price
163.5850
Micro Price
163.5716
Spread
0.0183%

↑ Bid Wall (Support)

Price
160.0000
Size
1,504.31

↓ Ask Wall (Resistance)

Price
170.0000
Size
2,579.75

📌 Time Data

Start at Closed at Duration
09 Jul 2026
21:36:14
13 Jul 2026
03:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
163.83 155.2122 185.3744 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 163.83
  • Stop Loss: 155.2122
  • Take Profit: 185.3744

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 155.2122 - 163.83 = -8.6178

  • Récompense (distance jusqu'au take profit):

    E - TP = 163.83 - 185.3744 = -21.5444

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -21.5444 / -8.6178 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
152.086 100 0.9283 1.52
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 -8.6178

Taille de position = 8 / -8.6178 = -0.93

Taille de position USD = -0.93 x 163.83 = -152.36

Donc, tu peux acheter -0.93 avec un stoploss a 155.2122

Avec un position size USD de -152.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.93 x -8.6178 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.93 x -21.5444 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position -0.93
  • Taille de position USD -152.36
  • Perte potentielle 8.01
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
13.15 % 20 $
SL % Target SL $ Target
5.26 % 8 $
PNL PNL %
-8 $ -5.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.7132 % 108.61 % 38

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.39999999999998
            [max_drawdown] => 5.97
            [rr_ratio] => 0.07
            [high] => 164.23000000
            [low] => 157.86000000
            [mfe_pct] => 0.24
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2026-07-09T21:36:14-04:00
            [end_at] => 2026-07-09T23:36:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.17
            [max_drawdown] => 5.97
            [rr_ratio] => 0.36
            [high] => 166.00000000
            [low] => 157.86000000
            [mfe_pct] => 1.32
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2026-07-09T21:36:14-04:00
            [end_at] => 2026-07-10T04:36:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 166.77000000
            [high_after] => 166.00000000
            [low_before] => 155.69000000
            [low_after] => 157.86000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#2 / n/a OK
seuil : top 15 · score du 09/07/2026 21:00
Signal Confidence
69 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime