24 Sep 2026 at 14:54:14

Long Trade on SKHY (BosPullback)

With 8.1 SKHY at 185.77$ per unit. Take profit: 194.985 (4.96 %) & Stop Loss: 184.7825 (0.53 %)

Long BosPullback on SKHY (24 Sep 2026 at 14:54:14 to 22:55:00 - 3 days )

With 8.1012 SKHY at 185.77$ per unit.

Position size of 1504.9643 $
Take profit at 194.985 (4.96 %) and Stop Loss at 184.7825 (0.53 %)

That's a 9.33 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 6
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 : range_high

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bull_high

tf_aligned : 1

24/09 14:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range strong balanced volatile_reversal bull_high
59%
24/09 16:00
1h ↔ neutral range range moderate grind expansion_after_compression bear_high
71%
24/09 18:00
15m ↓ down range range moderate grind expansion_after_compression bear_medium
72%
24/09 18:30
5m ↓ down range range moderate grind compression range_low
47%
24/09 18:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.76
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=2|retests=1|break_atr=0.62|prog=0.34|zone=weak|ob:ask_pressure(-0.10)
  4. stop_price: 184.78249485
  5. tp_price: 194.985
  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 : 0.982
  12. trend_strength : -0.0089
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.9034
  15. low_delta_atr : 0.6124
  16. current_swing_amp_atr : 2.4725
  17. current_swing_speed : 1.23624
  18. current_swing_efficiency : 0.5936
  19. retracement_ratio : 1.6183
  20. extension_ratio : 1.1404
  21. compression_score : 0.8519
  22. swing_entropy : 1
  23. breakout_strength : -0.6609
  24. distance_to_last_high_atr : -1.5643
  25. distance_to_last_low_atr : 0.8003
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    188.87
  31. last_pivot_index:
    147
  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_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.496
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4201
  49. scores_strength_score:
    0.5935
  50. scores_quality_score:
    0.2946
  51. scores_cleanliness_score:
    0.2219
  52. scores_structural_quality:
    0.3542
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3407
  55. scores_continuation_score:
    0.4408
  56. scores_structure_score:
    0.6234
  57. scores_volatility_expansion:
    0.844
  58. scores_momentum_type_score:
    0.65
  59. scores_risk_score:
    0.1938
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.024
  62. features_ema50_slope:
    -0.0408
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.346
  65. features_price_vs_ema50:
    -1.0741
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5562
  72. features_trend_efficiency:
    0.5936
  73. features_impulse_strength:
    2.4725
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.6183
  76. features_pullback_depth_atr:
    2.7132
  77. features_extension_from_mean:
    -1.0741
  78. features_impulse_decay_score:
    0.4298
  79. features_opposing_wick_pressure:
    0.2993
  80. features_volatility_percentile:
    0.74
  81. features_volatility_delta:
    0.4116
  82. features_body_ratio:
    0.4991
  83. features_closes_position_ratio:
    0.4648
  84. features_slope_consistency:
    0.7869
  85. features_range_position:
    0.1938
  86. features_distance_to_recent_high:
    -5.5002
  87. features_distance_to_recent_low:
    1.3222
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  90. features_post_break_hl_count:
    0
  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 : -0.3136
  99. obi_top10 : -0.3136
  100. micro_price : 186.30102128
  101. spread_pct : 0.016103
  102. mid_price : 186.315
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.3123
  111. obi_top5_std : 0.0008
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7046
  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] => 2026-09-21 05:00:00
        [price] => 187.87
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-21 09:00:00
        [price] => 191.17
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-21 11:00:00
        [price] => 188.36
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-21 12:00:00
        [price] => 190.29
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-21 14:00:00
        [price] => 186.08
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-21 16:00:00
        [price] => 188.73
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-21 18:00:00
        [price] => 186.62
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-21 19:00:00
        [price] => 190.19
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-22 00:00:00
        [price] => 193.85
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-22 08:00:00
        [price] => 183.85
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-22 14:00:00
        [price] => 196.44
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-22 16:00:00
        [price] => 192.43
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-22 23:00:00
        [price] => 196.34
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 189.52
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-23 13:00:00
        [price] => 192.93
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-23 14:00:00
        [price] => 186.23
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-24 09:00:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-24 13:00:00
        [price] => 187.38
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-24 14:00:00
        [price] => 184.97
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-24 16:00:00
        [price] => 188.87
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-23 18:15:00
        [price] => 190.17
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-23 19:45:00
        [price] => 187.88
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-23 22:00:00
        [price] => 189.34
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-24 00:00:00
        [price] => 188.05
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-24 00:15:00
        [price] => 188.69
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-24 01:30:00
        [price] => 188.67
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-24 02:00:00
        [price] => 187.76
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-24 02:45:00
        [price] => 188.44
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-24 04:15:00
        [price] => 187.44
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-24 05:00:00
        [price] => 188.4
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-24 07:00:00
        [price] => 186.4
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-24 08:00:00
        [price] => 187.39
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-24 09:30:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-24 11:15:00
        [price] => 186.39
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-24 11:45:00
        [price] => 184.91
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-24 12:15:00
        [price] => 186.02
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-24 13:45:00
        [price] => 187.38
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-24 14:00:00
        [price] => 185.15
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-09-24 16:30:00
        [price] => 188.87
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 187.38
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    184.97
  166. levels_hl_timestamp: 2026-09-24 14:00:00
  167. levels_hh_price:
    188.87
  168. levels_lh_price:
    188.87
  169. levels_lh_timestamp: 2026-09-24 16:00:00
  170. levels_ll_price:
    184.97
  171. strategy_details
  172. demand_zone_top:
    185.98
  173. demand_zone_bottom:
    182.88
  174. demand_zone_mid:
    184.43
  175. demand_zone_freshness: weak
  176. demand_zone_strength:
    1.0494
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bear_high
  181. 15m : range_medium
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 98%

Trend

Trend Strength
-0.009
Persistence
0.500
High Δ ATR
0.903
Low Δ ATR
0.612

Current Swing

Amp ATR
2.473
Speed
1.236
Efficiency
0.594

Structure

Retracement
1.618
Extension
1.140
Compression
0.852
Entropy
1.000
Breakout Str.
-0.661
Dist High ATR
-1.564
Dist Low ATR
0.800
31 pivots · 30 swings · Last pivot: ↑ 188.8700 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion_after_compression
risk approaching_support
htf unknown
Scores
Direction Score 0.420
Strength Score 0.594
Quality Score 0.295
Cleanliness Score 0.222
Structural Quality 0.354
Pullback Score 1.000
Exhaustion Score 0.341
Continuation Score 0.441
Structure Score 0.623
Volatility Expansion 0.844
Momentum Type Score 0.650
Risk Score 0.194
Features
Ema20 Slope
-0.024
Ema50 Slope
-0.041
Ema Alignment Score
0.000
Price Vs Ema20
-0.346
Price Vs Ema50
-1.074
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.556
Trend Efficiency
0.594
Impulse Strength
2.473
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.618
Pullback Depth Atr
2.713
Extension From Mean
-1.074
Impulse Decay Score
0.430
Opposing Wick Pressure
0.299
Volatility Percentile
0.740
Volatility Delta
0.412
Body Ratio
0.499
Closes Position Ratio
0.465
Slope Consistency
0.787
Range Position
0.194
Distance To Recent High
-5.500
Distance To Recent Low
1.322
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7046ms Confidence avant OB : 86% → 76%

Order Book Imbalance

OBI Top 5 -0.314
avg -0.312 ± 0.001
OBI Top 10 -0.314

Microstructure

Mid Price
186.3150
Micro Price
186.3010
Spread
0.0161%

📌 Time Data

Start at Closed at Duration
24 Sep 2026
14:54:14
27 Sep 2026
22:55:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
185.77 184.7825 194.985 9.33 146.53
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 185.77
  • Stop Loss: 184.7825
  • Take Profit: 194.985

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 184.7825 - 185.77 = -0.98750000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 185.77 - 194.985 = -9.215

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -9.215 / -0.98750000000001 = 9.3316

📌 Position Size

Amount Margin Quantity Leverage
1504.9643 100 8.1012 15.05
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 -0.98750000000001

Taille de position = 8 / -0.98750000000001 = -8.1

Taille de position USD = -8.1 x 185.77 = -1504.74

Donc, tu peux acheter -8.1 avec un stoploss a 184.7825

Avec un position size USD de -1504.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.1 x -0.98750000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.1 x -9.215 = 74.64

Si Take Profit atteint, tu gagneras 74.64$

Résumé

  • Taille de position -8.1
  • Taille de position USD -1504.74
  • Perte potentielle 8
  • Gain potentiel 74.64
  • Risk-Reward Ratio 9.3316

📌 Peformances

TP % Target TP $ Target
4.96 % 74.65 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
-8 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5867 % 110.36 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.17
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 186.94000000
            [low] => 186.03000000
            [mfe_pct] => 0.63
            [mae_pct] => -0.14
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-09-24T14:54:14-04:00
            [end_at] => 2026-09-24T16:54:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.55
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 188.32000000
            [low] => 186.03000000
            [mfe_pct] => 1.37
            [mae_pct] => -0.14
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2026-09-24T14:54:14-04:00
            [end_at] => 2026-09-24T21:54:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 188.87000000
            [high_after] => 186.94000000
            [low_before] => 184.85000000
            [low_after] => 186.03000000
            [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 24/09/2026 14:00
Signal Confidence
76 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime