09 Jul 2026 at 23:36:14

Long Trade on SKHY (BosPullback)

With 0.97 SKHY at 163.42$ per unit. Take profit: 183.9407 (12.56 %) & Stop Loss: 155.2117 (5.02 %)

Long BosPullback on SKHY (09 Jul 2026 at 23:36:14 to 03:45:00 - 3 days )

With 0.9746 SKHY at 163.42$ per unit.

Position size of 159.2736 $
Take profit at 183.9407 (12.56 %) and Stop Loss at 155.2117 (5.02 %)

That's a 2.5 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 5.71
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 grind volatile_reversal bull_high
56%
10/07 03:30
5m ↔ neutral range range strong balanced compression range_high
44%
10/07 03:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=6|retests=1|break_atr=1.56|prog=0.63|zone=tested|ob:bid_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 155.21173274
  5. tp_price: 183.94066814
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 2.279
  15. low_delta_atr : 2.3723
  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 : -4.1596
  24. distance_to_last_high_atr : -1.03
  25. distance_to_last_low_atr : 1.7873
  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 : medium
  41. momentum_type : explosive
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.578
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6614
  49. scores_strength_score:
    0.7041
  50. scores_quality_score:
    0.3825
  51. scores_cleanliness_score:
    0.2215
  52. scores_structural_quality:
    0.5142
  53. scores_pullback_score:
    0.5429
  54. scores_exhaustion_score:
    0.3838
  55. scores_continuation_score:
    0.7494
  56. scores_structure_score:
    0.5859
  57. scores_volatility_expansion:
    0.5534
  58. scores_momentum_type_score:
    0.686
  59. scores_risk_score:
    0.8088
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0377
  62. features_ema50_slope:
    0.0542
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.4641
  65. features_price_vs_ema50:
    1.3961
  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:
    0.557
  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:
    1.3961
  78. features_impulse_decay_score:
    0.516
  79. features_opposing_wick_pressure:
    0.2209
  80. features_volatility_percentile:
    0.56
  81. features_volatility_delta:
    0.0261
  82. features_body_ratio:
    0.4353
  83. features_closes_position_ratio:
    0.6216
  84. features_slope_consistency:
    0.8036
  85. features_range_position:
    0.8088
  86. features_distance_to_recent_high:
    -1.3423
  87. features_distance_to_recent_low:
    5.6794
  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 : 0.6513
  99. obi_top10 : 0.2391
  100. micro_price : 163.08080745
  101. spread_pct : 0.325393
  102. mid_price : 163.145
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 170
  107. ask_wall_size : 2510.34
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.6513
  111. obi_top5_std : 0
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6836
  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. 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. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 23:36 163.42000000 0%
2 23:42 163.42000000 0%
3 23:48 164.00000000 +0.355%

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
2.279
Low Δ ATR
2.372

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.
-4.160
Dist High ATR
-1.030
Dist Low ATR
1.787
29 pivots · 28 swings · Last pivot: ↓ 155.6900 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 58%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility normal
risk approaching_resistance
htf unknown
Scores
Direction Score 0.661
Strength Score 0.704
Quality Score 0.383
Cleanliness Score 0.222
Structural Quality 0.514
Pullback Score 0.543
Exhaustion Score 0.384
Continuation Score 0.749
Structure Score 0.586
Volatility Expansion 0.553
Momentum Type Score 0.686
Risk Score 0.809
Features
Ema20 Slope
0.038
Ema50 Slope
0.054
Ema Alignment Score
1.000
Price Vs Ema20
0.464
Price Vs Ema50
1.396
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
0.557
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
1.396
Impulse Decay Score
0.516
Opposing Wick Pressure
0.221
Volatility Percentile
0.560
Volatility Delta
0.026
Body Ratio
0.435
Closes Position Ratio
0.622
Slope Consistency
0.804
Range Position
0.809
Distance To Recent High
-1.342
Distance To Recent Low
5.679
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6836ms Confidence avant OB : 93%100%

Order Book Imbalance

OBI Top 5 0.651
avg 0.651 ± 0.000
OBI Top 10 0.239

Microstructure

Mid Price
163.1450
Micro Price
163.0808
Spread
0.3254%

↓ Ask Wall (Resistance)

Price
170.0000
Size
2,510.34

📌 Time Data

Start at Closed at Duration
09 Jul 2026
23:36:14
13 Jul 2026
03:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
163.42 155.2117 183.9407 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 163.42
  • Stop Loss: 155.2117
  • Take Profit: 183.9407

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 155.2117 - 163.42 = -8.2083

  • Récompense (distance jusqu'au take profit):

    E - TP = 163.42 - 183.9407 = -20.5207

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -20.5207 / -8.2083 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
159.2736 100 0.9746 1.59
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 -8.2083

Taille de position = 8 / -8.2083 = -0.97

Taille de position USD = -0.97 x 163.42 = -158.52

Donc, tu peux acheter -0.97 avec un stoploss a 155.2117

Avec un position size USD de -158.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.97 x -8.2083 = 7.96

Si Stop Loss atteint, tu perdras 7.96$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.97 x -20.5207 = 19.91

Si Take Profit atteint, tu gagneras 19.91$

Résumé

  • Taille de position -0.97
  • Taille de position USD -158.52
  • Perte potentielle 7.96
  • Gain potentiel 19.91
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
12.56 % 20 $
SL % Target SL $ Target
5.02 % 8 $
PNL PNL %
-8 $ -5.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.4767 % 109.04 % 38

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.58
            [max_drawdown] => 0.63
            [rr_ratio] => 4.1
            [high] => 166.00000000
            [low] => 162.79000000
            [mfe_pct] => 1.58
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 4.1
            [candles_analyzed] => 24
            [start_at] => 2026-07-09T23:36:14-04:00
            [end_at] => 2026-07-10T01:36:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.58
            [max_drawdown] => 3.61
            [rr_ratio] => 0.71
            [high] => 166.00000000
            [low] => 159.81000000
            [mfe_pct] => 1.58
            [mae_pct] => 2.21
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 84
            [start_at] => 2026-07-09T23:36:14-04:00
            [end_at] => 2026-07-10T06:36:14-04:00
        )

    [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