25 Aug 2026 at 12:06:18

Long Trade on SKHY (BosPullback)

With 2.71 SKHY at 159.15$ per unit. Take profit: 168.715 (6.01 %) & Stop Loss: 156.2022 (1.85 %)

Long BosPullback on SKHY (25 Aug 2026 at 12:06:18 to 20:00:00 - 5 days )

With 2.7139 SKHY at 159.15$ per unit.

Position size of 431.9215 $
Take profit at 168.715 (6.01 %) and Stop Loss at 156.2022 (1.85 %)

That's a 3.24 RR Trade
Duration: 5 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.54
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 : range_low

Score : 1

ml_regime : range_high

rules_regime : bull_high_confirmed

rules_regime_4h : bull_high

tf_aligned : 1

25/08 12:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_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 16:00
15m ↔ neutral range range moderate grind expansion_after_compression range_medium
47%
25/08 16:00
5m ↔ neutral transition bearish_transition moderate grind compression range_low
43%
25/08 16:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=6|retests=1|break_atr=1.67|prog=0.56|zone=invalid
  4. stop_price: 156.20224195
  5. tp_price: 168.715
  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 : 0.746
  12. trend_strength : -0.1271
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.9823
  15. low_delta_atr : 2.8203
  16. current_swing_amp_atr : 2.4116
  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 : -4.2976
  24. distance_to_last_high_atr : -1.1765
  25. distance_to_last_low_atr : 1.4773
  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:
    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 : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.429
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5018
  49. scores_strength_score:
    0.5861
  50. scores_quality_score:
    0.3492
  51. scores_cleanliness_score:
    0.2016
  52. scores_structural_quality:
    0.4699
  53. scores_pullback_score:
    0.4848
  54. scores_exhaustion_score:
    0.328
  55. scores_continuation_score:
    0.7023
  56. scores_structure_score:
    0.6133
  57. scores_volatility_expansion:
    0.288
  58. scores_momentum_type_score:
    0.5694
  59. scores_risk_score:
    0.4195
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0485
  62. features_ema50_slope:
    -0.0072
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.4382
  65. features_price_vs_ema50:
    -0.104
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5967
  72. features_trend_efficiency:
    0.4691
  73. features_impulse_strength:
    5.3139
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.4848
  76. features_pullback_depth_atr:
    2.5762
  77. features_extension_from_mean:
    -0.104
  78. features_impulse_decay_score:
    0.62
  79. features_opposing_wick_pressure:
    0.2835
  80. features_volatility_percentile:
    0.28
  81. features_volatility_delta:
    -0.12
  82. features_body_ratio:
    0.3724
  83. features_closes_position_ratio:
    0.515
  84. features_slope_consistency:
    0.8087
  85. features_range_position:
    0.4195
  86. features_distance_to_recent_high:
    -6.2348
  87. features_distance_to_recent_low:
    4.5057
  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 : -0.055
  99. obi_top10 : -0.055
  100. micro_price : 159.20768201
  101. spread_pct : 0.006281
  102. mid_price : 159.205
  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 : -0.0722
  111. obi_top5_std : 0.0096
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6925
  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 16:15:00
        [price] => 157.65
        [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 21:45:00
        [price] => 155.85
        [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. bos_level_long : 157.65
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    156.4
  165. levels_hl_timestamp: 2026-08-25 14:00:00
  166. levels_hh_price:
    161.34
  167. levels_lh_price:
    161.34
  168. levels_lh_timestamp: 2026-08-25 10:00:00
  169. levels_ll_price:
    156.4
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    161.34
  173. supply_zone_bottom:
    157.91
  174. supply_zone_mid:
    159.625
  175. supply_zone_freshness: tested
  176. supply_zone_strength:
    0.7944
  177. ¸
  178. regimes
  179. 1H : bear_high
  180. 15m : bull_medium
  181. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 12:06 159.15000000 0%
2 13:24 158.43000000 -0.452%
3 13:36 158.45000000 -0.44%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 75%

Trend

Trend Strength
-0.127
Persistence
0.500
High Δ ATR
1.982
Low Δ ATR
2.820

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.
-4.298
Dist High ATR
-1.177
Dist Low ATR
1.477
23 pivots · 22 swings · Last pivot: ↓ 156.4000 @ bar 147

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 0.502
Strength Score 0.586
Quality Score 0.349
Cleanliness Score 0.202
Structural Quality 0.470
Pullback Score 0.485
Exhaustion Score 0.328
Continuation Score 0.702
Structure Score 0.613
Volatility Expansion 0.288
Momentum Type Score 0.569
Risk Score 0.420
Features
Ema20 Slope
0.049
Ema50 Slope
-0.007
Ema Alignment Score
0.333
Price Vs Ema20
0.438
Price Vs Ema50
-0.104
Recent Hh Hl Score
0.526
Recent Lh Ll Score
0.474
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.597
Trend Efficiency
0.469
Impulse Strength
5.314
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.485
Pullback Depth Atr
2.576
Extension From Mean
-0.104
Impulse Decay Score
0.620
Opposing Wick Pressure
0.284
Volatility Percentile
0.280
Volatility Delta
-0.120
Body Ratio
0.372
Closes Position Ratio
0.515
Slope Consistency
0.809
Range Position
0.420
Distance To Recent High
-6.235
Distance To Recent Low
4.506
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6925ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.055
avg -0.072 ± 0.010
OBI Top 10 -0.055

Microstructure

Mid Price
159.2050
Micro Price
159.2077
Spread
0.0063%

📌 Time Data

Start at Closed at Duration
25 Aug 2026
12:06:18
30 Aug 2026
20:00:00
5 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
159.15 156.2022 168.715 3.24 160.54
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 159.15
  • Stop Loss: 156.2022
  • Take Profit: 168.715

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 156.2022 - 159.15 = -2.9478

  • Récompense (distance jusqu'au take profit):

    E - TP = 159.15 - 168.715 = -9.565

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -9.565 / -2.9478 = 3.2448

📌 Position Size

Amount Margin Quantity Leverage
431.9215 100 2.7139 4.32
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 -2.9478

Taille de position = 8 / -2.9478 = -2.71

Taille de position USD = -2.71 x 159.15 = -431.3

Donc, tu peux acheter -2.71 avec un stoploss a 156.2022

Avec un position size USD de -431.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2.71 x -2.9478 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2.71 x -9.565 = 25.92

Si Take Profit atteint, tu gagneras 25.92$

Résumé

  • Taille de position -2.71
  • Taille de position USD -431.3
  • Perte potentielle 7.99
  • Gain potentiel 25.92
  • Risk-Reward Ratio 3.2448

📌 Peformances

TP % Target TP $ Target
6.01 % 25.96 $
SL % Target SL $ Target
1.85 % 8 $
PNL PNL %
-8 $ -1.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.262 % 122.13 % 74

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.48999999999998
            [max_drawdown] => 1.54
            [rr_ratio] => 0.32
            [high] => 159.64000000
            [low] => 157.61000000
            [mfe_pct] => 0.31
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2026-08-25T12:06:18-04:00
            [end_at] => 2026-08-25T14:06:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.73999999999998
            [max_drawdown] => 1.54
            [rr_ratio] => 0.48
            [high] => 159.89000000
            [low] => 157.61000000
            [mfe_pct] => 0.46
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 84
            [start_at] => 2026-08-25T12:06:18-04:00
            [end_at] => 2026-08-25T19:06:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 161.31000000
            [high_after] => 159.80000000
            [low_before] => 156.40000000
            [low_after] => 157.61000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#6 / n/a OK
seuil : top 15 · score du 25/08/2026 12:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime