25 Aug 2026 at 13:42:19

Long Trade on SKHY (BosPullback)

With 3.6 SKHY at 158.45$ per unit. Take profit: 168.715 (6.48 %) & Stop Loss: 156.2255 (1.4 %)

Long BosPullback on SKHY (25 Aug 2026 at 13:42:19 to 20:00:00 - 5 days )

With 3.5963 SKHY at 158.45$ per unit.

Position size of 569.827 $
Take profit at 168.715 (6.48 %) and Stop Loss at 156.2255 (1.4 %)

That's a 4.61 RR Trade
Duration: 5 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.17
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_high

rules_regime_5m : bear_low

Score : 1

ml_regime : range_high

rules_regime : bull_high_confirmed

rules_regime_4h : bull_high

tf_aligned : 1

25/08 13:01

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 moderate balanced normal range_high
42%
25/08 16:00
1h ↔ neutral range range moderate grind compression bear_high
72%
25/08 17:00
15m ↓ down transition bearish_transition moderate grind normal range_medium
50%
25/08 17:30
5m ↓ down range range moderate balanced compression range_low
50%
25/08 17:35

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=7|retests=1|break_atr=1.65|prog=0.40|zone=invalid
  4. stop_price: 156.22546504
  5. tp_price: 168.715
  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 : 0.746
  12. trend_strength : -0.1271
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.9664
  15. low_delta_atr : 2.7978
  16. current_swing_amp_atr : 2.4115
  17. current_swing_speed : 0.60289
  18. current_swing_efficiency : 0.4691
  19. retracement_ratio : 0.4848
  20. extension_ratio : 0.76
  21. compression_score : 0.7385
  22. swing_entropy : 1
  23. breakout_strength : -3.8529
  24. distance_to_last_high_atr : -1.5774
  25. distance_to_last_low_atr : 1.0552
  26. pivot_count : 23
  27. swing_count : 22
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    156.4
  31. last_pivot_index:
    146
  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 : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.425
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4978
  49. scores_strength_score:
    0.6036
  50. scores_quality_score:
    0.3418
  51. scores_cleanliness_score:
    0.1904
  52. scores_structural_quality:
    0.4658
  53. scores_pullback_score:
    0.4848
  54. scores_exhaustion_score:
    0.3633
  55. scores_continuation_score:
    0.6901
  56. scores_structure_score:
    0.6133
  57. scores_volatility_expansion:
    0.3674
  58. scores_momentum_type_score:
    0.5612
  59. scores_risk_score:
    0.3791
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.022
  62. features_ema50_slope:
    -0.0157
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.0164
  65. features_price_vs_ema50:
    -0.5064
  66. features_recent_hh_hl_score:
    0.5263
  67. features_recent_lh_ll_score:
    0.4737
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6193
  72. features_trend_efficiency:
    0.4691
  73. features_impulse_strength:
    5.3139
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.4848
  76. features_pullback_depth_atr:
    2.5762
  77. features_extension_from_mean:
    -0.5064
  78. features_impulse_decay_score:
    0.62
  79. features_opposing_wick_pressure:
    0.2839
  80. features_volatility_percentile:
    0.28
  81. features_volatility_delta:
    -0.0009
  82. features_body_ratio:
    0.3788
  83. features_closes_position_ratio:
    0.4866
  84. features_slope_consistency:
    0.7833
  85. features_range_position:
    0.3791
  86. features_distance_to_recent_high:
    -6.5479
  87. features_distance_to_recent_low:
    3.9984
  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 : -0.0046
  99. obi_top10 : -0.0046
  100. micro_price : 158.40709331
  101. spread_pct : 0.006313
  102. mid_price : 158.405
  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 : -0.0072
  111. obi_top5_std : 0.0083
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6943
  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] => 2026-08-20 04:00:00
        [price] => 165.94
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-08-20 12:00:00
        [price] => 158.31
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-08-20 13:00:00
        [price] => 166.44
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-08-20 18:00:00
        [price] => 160.98
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-08-21 00:00:00
        [price] => 168.94
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-08-21 08:00:00
        [price] => 163.89
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-08-21 10:00:00
        [price] => 167.99
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-08-21 14:00:00
        [price] => 162.74
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-08-21 15:00:00
        [price] => 167.55
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-08-22 05:00:00
        [price] => 161.06
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-08-23 03:00:00
        [price] => 166.02
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-08-23 06:00:00
        [price] => 163.95
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-23 15:00:00
        [price] => 168
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-23 16:00:00
        [price] => 166.83
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-23 19:00:00
        [price] => 169.54
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-24 13:00:00
        [price] => 151.74
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-24 16:00:00
        [price] => 157.65
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-25 00:00:00
        [price] => 151.15
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-25 10:00:00
        [price] => 161.34
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-25 14:00:00
        [price] => 156.4
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-24 16:45:00
        [price] => 156.6
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-24 17:30:00
        [price] => 154.55
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-24 18:30:00
        [price] => 157.15
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-24 19:45:00
        [price] => 154.82
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-24 20:15:00
        [price] => 156.11
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-25 00:15:00
        [price] => 151.15
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-25 00:45:00
        [price] => 153.56
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-25 01:15:00
        [price] => 151.86
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-25 01:45:00
        [price] => 154.82
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-25 02:45:00
        [price] => 152.75
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-25 06:15:00
        [price] => 159.89
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-25 08:00:00
        [price] => 157.91
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-25 10:00:00
        [price] => 161.34
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-25 11:00:00
        [price] => 159.73
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-25 12:15:00
        [price] => 161.03
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-25 12:30:00
        [price] => 159.48
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-25 13:30:00
        [price] => 161.31
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-25 14:15:00
        [price] => 156.4
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-25 16:15:00
        [price] => 159.64
        [kind] => high
        [label] => LH
    )
    
  162. bos_level_long : 157.65
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    156.4
  166. levels_hl_timestamp: 2026-08-25 14:00:00
  167. levels_hh_price:
    161.34
  168. levels_lh_price:
    161.34
  169. levels_lh_timestamp: 2026-08-25 10:00:00
  170. levels_ll_price:
    156.4
  171. demand_zone :
  172. strategy_details
  173. supply_zone_top:
    161.34
  174. supply_zone_bottom:
    157.91
  175. supply_zone_mid:
    159.625
  176. supply_zone_freshness: tested
  177. supply_zone_strength:
    0.7944
  178. ¸
  179. regimes
  180. 1H : bear_high
  181. 15m : range_medium
  182. ¸

Signaux confirmants (7)

# Heure Entry Δ
1 13:42 158.45000000 0%
2 13:48 158.56000000 +0.069%
3 13:54 158.57000000 +0.076%
4 14:36 158.73000000 +0.177%
5 14:42 158.73000000 +0.177%
6 14:48 159.17000000 +0.454%
7 14:54 159.18000000 +0.461%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 75%

Trend

Trend Strength
-0.127
Persistence
0.500
High Δ ATR
1.966
Low Δ ATR
2.798

Current Swing

Amp ATR
2.412
Speed
0.603
Efficiency
0.469

Structure

Retracement
0.485
Extension
0.760
Compression
0.739
Entropy
1.000
Breakout Str.
-3.853
Dist High ATR
-1.577
Dist Low ATR
1.055
23 pivots · 22 swings · Last pivot: ↓ 156.4000 @ bar 146

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 43%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.498
Strength Score 0.604
Quality Score 0.342
Cleanliness Score 0.190
Structural Quality 0.466
Pullback Score 0.485
Exhaustion Score 0.363
Continuation Score 0.690
Structure Score 0.613
Volatility Expansion 0.367
Momentum Type Score 0.561
Risk Score 0.379
Features
Ema20 Slope
0.022
Ema50 Slope
-0.016
Ema Alignment Score
0.333
Price Vs Ema20
0.016
Price Vs Ema50
-0.506
Recent Hh Hl Score
0.526
Recent Lh Ll Score
0.474
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.619
Trend Efficiency
0.469
Impulse Strength
5.314
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.485
Pullback Depth Atr
2.576
Extension From Mean
-0.506
Impulse Decay Score
0.620
Opposing Wick Pressure
0.284
Volatility Percentile
0.280
Volatility Delta
-0.001
Body Ratio
0.379
Closes Position Ratio
0.487
Slope Consistency
0.783
Range Position
0.379
Distance To Recent High
-6.548
Distance To Recent Low
3.998
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6943ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.005
avg -0.007 ± 0.008
OBI Top 10 -0.005

Microstructure

Mid Price
158.4050
Micro Price
158.4071
Spread
0.0063%

📌 Time Data

Start at Closed at Duration
25 Aug 2026
13:42:19
30 Aug 2026
20:00:00
5 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
158.45 156.2255 168.715 4.61 163.55
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 158.45
  • Stop Loss: 156.2255
  • Take Profit: 168.715

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 156.2255 - 158.45 = -2.2245

  • Récompense (distance jusqu'au take profit):

    E - TP = 158.45 - 168.715 = -10.265

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -10.265 / -2.2245 = 4.6145

📌 Position Size

Amount Margin Quantity Leverage
569.827 100 3.5963 5.70
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 -2.2245

Taille de position = 8 / -2.2245 = -3.6

Taille de position USD = -3.6 x 158.45 = -570.42

Donc, tu peux acheter -3.6 avec un stoploss a 156.2255

Avec un position size USD de -570.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3.6 x -2.2245 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3.6 x -10.265 = 36.95

Si Take Profit atteint, tu gagneras 36.95$

Résumé

  • Taille de position -3.6
  • Taille de position USD -570.42
  • Perte potentielle 8.01
  • Gain potentiel 36.95
  • Risk-Reward Ratio 4.6145

📌 Peformances

TP % Target TP $ Target
6.48 % 36.92 $
SL % Target SL $ Target
1.4 % 8 $
PNL PNL %
-8 $ -1.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8302 % 130.37 % 122

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.85000000000002
            [max_drawdown] => 0.36999999999998
            [rr_ratio] => 2.3
            [high] => 159.30000000
            [low] => 158.08000000
            [mfe_pct] => 0.54
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 2.3
            [candles_analyzed] => 24
            [start_at] => 2026-08-25T13:42:19-04:00
            [end_at] => 2026-08-25T15:42:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.6
            [max_drawdown] => 1.17
            [rr_ratio] => 2.22
            [high] => 161.05000000
            [low] => 157.28000000
            [mfe_pct] => 1.64
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 2.22
            [candles_analyzed] => 84
            [start_at] => 2026-08-25T13:42:19-04:00
            [end_at] => 2026-08-25T20:42:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 159.99000000
            [high_after] => 159.89000000
            [low_before] => 156.40000000
            [low_after] => 158.08000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#9 / n/a OK
seuil : top 15 · score du 25/08/2026 13:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime