11 Oct 2026 at 22:33:28

Long Trade on SKHY (BosPullback)

With 3.04 SKHY at 170.84$ per unit. Take profit: 177.4141 (3.85 %) & Stop Loss: 168.2104 (1.54 %)

Long BosPullback on SKHY (11 Oct 2026 at 22:33:28 to 01:40:00 - 3 hours )

With 3.0422 SKHY at 170.84$ per unit.

Position size of 519.7375 $
Take profit at 177.4141 (3.85 %) and Stop Loss at 168.2104 (1.54 %)

That's a 2.5 RR Trade
Duration: 3 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.02
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_low

rules_regime_5m : range_low

Score : 1

ml_regime : bull_high

rules_regime : bull_high

rules_regime_4h : range_medium

tf_aligned :

11/10 22:03

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition strong balanced compression bear_high
74%
10/10 04:00
1h ↓ down range range moderate balanced volatile_reversal bear_low
43%
12/10 02:00
15m ↓ down transition bearish_transition strong explosive volatile_reversal range_low
43%
12/10 02:30
5m ↔ neutral range range moderate grind compression range_low
48%
12/10 02:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.69
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=10|retests=1|break_atr=1.33|prog=0.60|zone=invalid|ob:ask_pressure(-0.10)
  4. stop_price: 168.21036492
  5. tp_price: 177.41408771
  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 : range
  11. confidence : 0.827
  12. trend_strength : 0.0866
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.571
  15. low_delta_atr : -2.6099
  16. current_swing_amp_atr : 5.4861
  17. current_swing_speed : 0.60957
  18. current_swing_efficiency : 0.4335
  19. retracement_ratio : 1.9904
  20. extension_ratio : 4.9286
  21. compression_score : 1.4724
  22. swing_entropy : 1
  23. breakout_strength : -0.5321
  24. distance_to_last_high_atr : -2.1031
  25. distance_to_last_low_atr : 3.142
  26. pivot_count : 18
  27. swing_count : 17
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    168.36
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.576
  46. state : down_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3106
  49. scores_strength_score:
    0.5701
  50. scores_quality_score:
    0.351
  51. scores_cleanliness_score:
    0.2687
  52. scores_structural_quality:
    0.4183
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.0989
  55. scores_continuation_score:
    0.4695
  56. scores_structure_score:
    0.3502
  57. scores_volatility_expansion:
    0.988
  58. scores_momentum_type_score:
    0.5355
  59. scores_risk_score:
    0.2086
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0494
  62. features_ema50_slope:
    -0.0302
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2318
  65. features_price_vs_ema50:
    -0.5537
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4626
  72. features_trend_efficiency:
    0.4335
  73. features_impulse_strength:
    5.4861
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.9904
  76. features_pullback_depth_atr:
    10.6858
  77. features_extension_from_mean:
    -0.5537
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.202
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    2.7078
  82. features_body_ratio:
    0.7892
  83. features_closes_position_ratio:
    0.5353
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.2086
  86. features_distance_to_recent_high:
    -12.964
  87. features_distance_to_recent_low:
    3.4175
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : -0.1879
  99. obi_top10 : -0.1879
  100. micro_price : 170.90440367
  101. spread_pct : 0.005851
  102. mid_price : 170.905
  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 : -0.1642
  111. obi_top5_std : 0.0185
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 8028
  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] => 2026-10-05 23:00:00
        [price] => 194.96
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-10-06 06:00:00
        [price] => 189.15
        [kind] => low
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-10-06 11:00:00
        [price] => 192
        [kind] => high
        [label] => 
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-10-06 19:00:00
        [price] => 180.97
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-10-07 00:00:00
        [price] => 186.68
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-10-07 13:00:00
        [price] => 176.91
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-10-07 14:00:00
        [price] => 181.18
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-10-07 19:00:00
        [price] => 177.02
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-10-08 01:00:00
        [price] => 182.79
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-10-08 17:00:00
        [price] => 167.21
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-10-09 07:00:00
        [price] => 174.7
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-10-09 19:00:00
        [price] => 168.97
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-10-10 14:00:00
        [price] => 171.73
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-10-10 17:00:00
        [price] => 170.49
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-10-11 00:00:00
        [price] => 171.26
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-10-11 10:00:00
        [price] => 170.42
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-10-11 16:00:00
        [price] => 172.5
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-10-12 01:00:00
        [price] => 168.36
        [kind] => low
        [label] => LL
    )
    
  140. strategy_details
  141. pivots_15m_0:
    Array
    (
        [time] => 2026-10-11 01:45:00
        [price] => 171.23
        [kind] => high
        [label] => 
    )
    
  142. pivots_15m_1:
    Array
    (
        [time] => 2026-10-11 04:00:00
        [price] => 170.56
        [kind] => low
        [label] => 
    )
    
  143. pivots_15m_2:
    Array
    (
        [time] => 2026-10-11 05:00:00
        [price] => 170.9
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_3:
    Array
    (
        [time] => 2026-10-11 05:45:00
        [price] => 170.55
        [kind] => low
        [label] => HL
    )
    
  145. pivots_15m_4:
    Array
    (
        [time] => 2026-10-11 07:00:00
        [price] => 170.85
        [kind] => high
        [label] => LH
    )
    
  146. pivots_15m_5:
    Array
    (
        [time] => 2026-10-11 08:15:00
        [price] => 170.48
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_6:
    Array
    (
        [time] => 2026-10-11 09:00:00
        [price] => 170.8
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_7:
    Array
    (
        [time] => 2026-10-11 10:30:00
        [price] => 170.42
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_8:
    Array
    (
        [time] => 2026-10-11 12:00:00
        [price] => 171.23
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_9:
    Array
    (
        [time] => 2026-10-11 14:00:00
        [price] => 171.01
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_10:
    Array
    (
        [time] => 2026-10-11 16:30:00
        [price] => 172.5
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_11:
    Array
    (
        [time] => 2026-10-11 17:00:00
        [price] => 172.05
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_12:
    Array
    (
        [time] => 2026-10-11 17:30:00
        [price] => 172.36
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_13:
    Array
    (
        [time] => 2026-10-11 20:15:00
        [price] => 171.43
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_14:
    Array
    (
        [time] => 2026-10-11 20:45:00
        [price] => 171.79
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_15:
    Array
    (
        [time] => 2026-10-11 22:00:00
        [price] => 171.09
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_16:
    Array
    (
        [time] => 2026-10-11 23:00:00
        [price] => 172.09
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_17:
    Array
    (
        [time] => 2026-10-11 23:15:00
        [price] => 170.69
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_18:
    Array
    (
        [time] => 2026-10-12 00:30:00
        [price] => 171.54
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_19:
    Array
    (
        [time] => 2026-10-12 01:15:00
        [price] => 168.36
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 171.26
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    168.36
  165. levels_hl_timestamp: 2026-10-12 01:00:00
  166. levels_hh_price:
    172.5
  167. levels_lh_price:
    172.5
  168. levels_lh_timestamp: 2026-10-11 16:00:00
  169. levels_ll_price:
    168.36
  170. demand_zone :
  171. supply_zone :
  172. ¸
  173. regimes
  174. 1H : bear_medium
  175. 15m : range_low
  176. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 83%

Trend

Trend Strength
0.087
Persistence
0.500
High Δ ATR
1.571
Low Δ ATR
-2.610

Current Swing

Amp ATR
5.486
Speed
0.610
Efficiency
0.434

Structure

Retracement
1.990
Extension
4.929
Compression
1.472
Entropy
1.000
Breakout Str.
-0.532
Dist High ATR
-2.103
Dist Low ATR
3.142
18 pivots · 17 swings · Last pivot: ↓ 168.3600 @ bar 148

Trend Analyzer 1H

1H ↓ down down_range_balanced
Confidence 58%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk discount
htf unknown
Scores
Direction Score 0.311
Strength Score 0.570
Quality Score 0.351
Cleanliness Score 0.269
Structural Quality 0.418
Pullback Score 1.000
Exhaustion Score 0.099
Continuation Score 0.470
Structure Score 0.350
Volatility Expansion 0.988
Momentum Type Score 0.536
Risk Score 0.209
Features
Ema20 Slope
-0.049
Ema50 Slope
-0.030
Ema Alignment Score
0.000
Price Vs Ema20
-0.232
Price Vs Ema50
-0.554
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.463
Trend Efficiency
0.434
Impulse Strength
5.486
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.990
Pullback Depth Atr
10.686
Extension From Mean
-0.554
Impulse Decay Score
0.000
Opposing Wick Pressure
0.202
Volatility Percentile
0.980
Volatility Delta
2.708
Body Ratio
0.789
Closes Position Ratio
0.535
Slope Consistency
0.000
Range Position
0.209
Distance To Recent High
-12.964
Distance To Recent Low
3.418
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 8028ms Confidence avant OB : 79% → 69%

Order Book Imbalance

OBI Top 5 -0.188
avg -0.164 ± 0.019
OBI Top 10 -0.188

Microstructure

Mid Price
170.9050
Micro Price
170.9044
Spread
0.0059%

📌 Time Data

Start at Closed at Duration
11 Oct 2026
22:33:28
12 Oct 2026
01:40:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
170.84 168.2104 177.4141 2.5 143.6
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 170.84
  • Stop Loss: 168.2104
  • Take Profit: 177.4141

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 168.2104 - 170.84 = -2.6296

  • Récompense (distance jusqu'au take profit):

    E - TP = 170.84 - 177.4141 = -6.5741

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -6.5741 / -2.6296 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
519.7375 100 3.0422 5.20
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 -2.6296

Taille de position = 8 / -2.6296 = -3.04

Taille de position USD = -3.04 x 170.84 = -519.35

Donc, tu peux acheter -3.04 avec un stoploss a 168.2104

Avec un position size USD de -519.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3.04 x -2.6296 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3.04 x -6.5741 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -3.04
  • Taille de position USD -519.35
  • Perte potentielle 7.99
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
3.85 % 20 $
SL % Target SL $ Target
1.54 % 8 $
PNL PNL %
-8 $ -1.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5395 % 100.02 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 177.4141
            [entry_price] => 170.84
            [stop_loss] => 167.94744
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-10-12 06:45:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 177.4141
            [entry_price] => 170.84
            [stop_loss] => 167.68448
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-10-12 08:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 177.4141
            [entry_price] => 170.84
            [stop_loss] => 167.42152
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-10-12 08:15:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.15000000000001
            [max_drawdown] => 1.83
            [rr_ratio] => -0.08
            [high] => 170.69000000
            [low] => 169.01000000
            [mfe_pct] => -0.09
            [mae_pct] => 1.07
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2026-10-11T22:33:28-04:00
            [end_at] => 2026-10-12T00:33:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.28999999999999
            [max_drawdown] => 4.44
            [rr_ratio] => 0.07
            [high] => 171.13000000
            [low] => 166.40000000
            [mfe_pct] => 0.17
            [mae_pct] => 2.6
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2026-10-11T22:33:28-04:00
            [end_at] => 2026-10-12T05:33:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 172.09000000
            [high_after] => 171.13000000
            [low_before] => 168.36000000
            [low_after] => 167.01000000
            [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 11/10/2026 22:00
Signal Confidence
69 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime