26 Jul 2026 at 23:18:14

Long Trade on SKHY (BosPullback)

With 1.93 SKHY at 160.71$ per unit. Take profit: 171.0826 (6.45 %) & Stop Loss: 156.561 (2.58 %)

Long BosPullback on SKHY (26 Jul 2026 at 23:18:14 to 09:30:00 - 10 hours )

With 1.9282 SKHY at 160.71$ per unit.

Position size of 309.8748 $
Take profit at 171.0826 (6.45 %) and Stop Loss at 156.561 (2.58 %)

That's a 2.5 RR Trade
Duration: 10 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 5.39
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 : range_high

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

26/07 23:00

BTC Correlation Coin Market Regime

1H_regime : range_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 moderate balanced compression bull_high
67%
27/07 00:00
1h ↔ neutral transition bearish_transition strong explosive expansion_after_compression bear_high
68%
27/07 03:00
15m ↓ down transition bearish_transition strong explosive volatile_reversal range_medium
41%
27/07 03:00
5m ↓ down transition bearish_transition moderate grind compression range_medium
52%
27/07 03:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.83
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=4|retests=1|break_atr=1.31|prog=0.47|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 156.56096988
  5. tp_price: 171.08257531
  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 : 0.251
  12. trend_strength : 0.2507
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.974
  15. low_delta_atr : -2.5656
  16. current_swing_amp_atr : 5.6336
  17. current_swing_speed : 2.81681
  18. current_swing_efficiency : 0.7392
  19. retracement_ratio : 1.8915
  20. extension_ratio : 6.0221
  21. compression_score : 0.8613
  22. swing_entropy : 1
  23. breakout_strength : -0.0199
  24. distance_to_last_high_atr : -2.858
  25. distance_to_last_low_atr : 2.5855
  26. pivot_count : 21
  27. swing_count : 20
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    156.82
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.437
  46. state : neutral_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4432
  49. scores_strength_score:
    0.7251
  50. scores_quality_score:
    0.2947
  51. scores_cleanliness_score:
    0.2219
  52. scores_structural_quality:
    0.3542
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.0782
  55. scores_continuation_score:
    0.5288
  56. scores_structure_score:
    0.4189
  57. scores_volatility_expansion:
    0.952
  58. scores_momentum_type_score:
    0.7164
  59. scores_risk_score:
    0.3111
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0185
  62. features_ema50_slope:
    -0.0005
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    -0.1965
  65. features_price_vs_ema50:
    -0.1133
  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:
    0.5561
  72. features_trend_efficiency:
    0.7392
  73. features_impulse_strength:
    5.6336
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.8915
  76. features_pullback_depth_atr:
    8.5373
  77. features_extension_from_mean:
    -0.1133
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.273
  80. features_volatility_percentile:
    0.92
  81. features_volatility_delta:
    0.9863
  82. features_body_ratio:
    0.5526
  83. features_closes_position_ratio:
    0.5338
  84. features_slope_consistency:
    0.6265
  85. features_range_position:
    0.3111
  86. features_distance_to_recent_high:
    -9.1026
  87. features_distance_to_recent_low:
    4.1116
  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 : -0.3046
  99. obi_top10 : -0.3046
  100. micro_price : 160.81210863
  101. spread_pct : 0.024877
  102. mid_price : 160.81
  103. bid_wall_price : 160
  104. bid_wall_size : 12374.134
  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 : -0.2774
  111. obi_top5_std : 0.031
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6990
  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] => 2026-07-21 12:00:00
        [price] => 159.21
        [kind] => low
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-22 00:00:00
        [price] => 175.71
        [kind] => high
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-22 12:00:00
        [price] => 158.86
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-22 16:00:00
        [price] => 169.94
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-22 20:00:00
        [price] => 164.4
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-22 21:00:00
        [price] => 172.9
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-23 01:00:00
        [price] => 173.42
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-23 02:00:00
        [price] => 165.71
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-23 08:00:00
        [price] => 177.5
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-23 13:00:00
        [price] => 168.09
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-23 14:00:00
        [price] => 176.79
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-24 04:00:00
        [price] => 161.84
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-24 09:00:00
        [price] => 167.15
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-24 23:00:00
        [price] => 152.95
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-26 04:00:00
        [price] => 162.46
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-26 09:00:00
        [price] => 160.17
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-26 14:00:00
        [price] => 162.04
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-26 20:00:00
        [price] => 160.68
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-26 23:00:00
        [price] => 165.01
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-27 01:00:00
        [price] => 156.82
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-26 04:15:00
        [price] => 162.46
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-26 05:15:00
        [price] => 160.51
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-26 07:00:00
        [price] => 161.97
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-26 08:30:00
        [price] => 160.23
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-26 08:45:00
        [price] => 161.34
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-26 11:00:00
        [price] => 162.02
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-26 12:45:00
        [price] => 160.98
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-26 14:00:00
        [price] => 162.04
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-26 15:00:00
        [price] => 161.29
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-26 16:30:00
        [price] => 161.9
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-26 20:30:00
        [price] => 160.68
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-26 23:00:00
        [price] => 165.01
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-26 23:30:00
        [price] => 163.02
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-27 00:45:00
        [price] => 162.31
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-27 01:15:00
        [price] => 156.82
        [kind] => low
        [label] => LL
    )
    
  158. bos_level_long : 162.04
  159. bos_level_short : 0
  160. strategy_details
  161. levels_hl_price:
    156.82
  162. levels_hl_timestamp: 2026-07-27 01:00:00
  163. levels_hh_price:
    165.01
  164. levels_lh_price:
    165.01
  165. levels_lh_timestamp: 2026-07-26 23:00:00
  166. levels_ll_price:
    156.82
  167. strategy_details
  168. demand_zone_top:
    156.39
  169. demand_zone_bottom:
    152.95
  170. demand_zone_mid:
    154.67
  171. demand_zone_freshness: tested
  172. demand_zone_strength:
    0.7246
  173. strategy_details
  174. supply_zone_top:
    167.15
  175. supply_zone_bottom:
    161.84
  176. supply_zone_mid:
    164.495
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.6638
  179. ¸
  180. regimes
  181. 1H : range_high
  182. 15m : range_medium
  183. ¸

Signaux confirmants (4)

# Heure Entry Δ
1 23:18 160.71000000 0%
2 23:24 160.97000000 +0.162%
3 00:36 160.31000000 -0.249%
4 00:42 160.31000000 -0.249%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 25%

Trend

Trend Strength
0.251
Persistence
0.500
High Δ ATR
1.974
Low Δ ATR
-2.566

Current Swing

Amp ATR
5.634
Speed
2.817
Efficiency
0.739

Structure

Retracement
1.892
Extension
6.022
Compression
0.861
Entropy
1.000
Breakout Str.
-0.020
Dist High ATR
-2.858
Dist Low ATR
2.586
21 pivots · 20 swings · Last pivot: ↓ 156.8200 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_transition_explosive
Confidence 44%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion_after_compression
risk discount
htf unknown
Scores
Direction Score 0.443
Strength Score 0.725
Quality Score 0.295
Cleanliness Score 0.222
Structural Quality 0.354
Pullback Score 1.000
Exhaustion Score 0.078
Continuation Score 0.529
Structure Score 0.419
Volatility Expansion 0.952
Momentum Type Score 0.716
Risk Score 0.311
Features
Ema20 Slope
-0.019
Ema50 Slope
-0.001
Ema Alignment Score
0.333
Price Vs Ema20
-0.197
Price Vs Ema50
-0.113
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
0.739
Impulse Strength
5.634
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.892
Pullback Depth Atr
8.537
Extension From Mean
-0.113
Impulse Decay Score
0.000
Opposing Wick Pressure
0.273
Volatility Percentile
0.920
Volatility Delta
0.986
Body Ratio
0.553
Closes Position Ratio
0.534
Slope Consistency
0.627
Range Position
0.311
Distance To Recent High
-9.103
Distance To Recent Low
4.112
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6990ms Confidence avant OB : 93%83%

Order Book Imbalance

OBI Top 5 -0.305
avg -0.277 ± 0.031
OBI Top 10 -0.305

Microstructure

Mid Price
160.8100
Micro Price
160.8121
Spread
0.0249%

↑ Bid Wall (Support)

Price
160.0000
Size
12,374.13

📌 Time Data

Start at Closed at Duration
26 Jul 2026
23:18:14
27 Jul 2026
09:30:00
10 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
160.71 156.561 171.0826 2.5 174.54
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 160.71
  • Stop Loss: 156.561
  • Take Profit: 171.0826

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 156.561 - 160.71 = -4.149

  • Récompense (distance jusqu'au take profit):

    E - TP = 160.71 - 171.0826 = -10.3726

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -10.3726 / -4.149 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
309.8748 100 1.9282 3.10
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 -4.149

Taille de position = 8 / -4.149 = -1.93

Taille de position USD = -1.93 x 160.71 = -310.17

Donc, tu peux acheter -1.93 avec un stoploss a 156.561

Avec un position size USD de -310.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1.93 x -4.149 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1.93 x -10.3726 = 20.02

Si Take Profit atteint, tu gagneras 20.02$

Résumé

  • Taille de position -1.93
  • Taille de position USD -310.17
  • Perte potentielle 8.01
  • Gain potentiel 20.02
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
6.45 % 20 $
SL % Target SL $ Target
2.58 % 8 $
PNL PNL %
-8 $ -2.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.7814 % 107.74 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.47
            [max_drawdown] => 1.29
            [rr_ratio] => 1.91
            [high] => 163.18000000
            [low] => 159.42000000
            [mfe_pct] => 1.54
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 1.91
            [candles_analyzed] => 24
            [start_at] => 2026-07-26T23:18:14-04:00
            [end_at] => 2026-07-27T01:18:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.01
            [max_drawdown] => 1.29
            [rr_ratio] => 3.11
            [high] => 164.72000000
            [low] => 159.42000000
            [mfe_pct] => 2.5
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 3.11
            [candles_analyzed] => 84
            [start_at] => 2026-07-26T23:18:14-04:00
            [end_at] => 2026-07-27T06:18:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 164.51000000
            [high_after] => 164.72000000
            [low_before] => 156.82000000
            [low_after] => 159.42000000
            [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 26/07/2026 23:00
Signal Confidence
83 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime