24 Sep 2026 at 19:06:15

Long Trade on SKHY (BosPullback)

With 4.87 SKHY at 186.52$ per unit. Take profit: 194.985 (4.54 %) & Stop Loss: 184.8765 (0.88 %)

Long BosPullback on SKHY (24 Sep 2026 at 19:06:15 to 22:45:00 - 3 days )

With 4.8676 SKHY at 186.52$ per unit.

Position size of 907.9137 $
Take profit at 194.985 (4.54 %) and Stop Loss at 184.8765 (0.88 %)

That's a 5.15 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 5.91
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 : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bull_high

tf_aligned : 1

24/09 19:01

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 ↔ neutral range range strong balanced expansion bull_high
74%
24/09 20:00
1h ↔ neutral range range moderate grind normal bear_medium
70%
24/09 23:00
15m ↔ neutral range range moderate grind compression range_low
48%
24/09 23:00
5m ↔ neutral range range moderate grind compression range_low
46%
24/09 23:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.62
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=7|retests=1|break_atr=0.79|prog=0.40|zone=weak|ob:ask_pressure(-0.10)
  4. stop_price: 184.87649575
  5. tp_price: 194.985
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 0.982
  12. trend_strength : -0.0089
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.152
  15. low_delta_atr : 0.7809
  16. current_swing_amp_atr : 2.4725
  17. current_swing_speed : 1.23624
  18. current_swing_efficiency : 0.5936
  19. retracement_ratio : 1.6183
  20. extension_ratio : 1.1404
  21. compression_score : 0.8519
  22. swing_entropy : 1
  23. breakout_strength : -0.6649
  24. distance_to_last_high_atr : -1.8169
  25. distance_to_last_low_atr : 1.1984
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    188.87
  31. last_pivot_index:
    142
  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 : discount
  45. confidence : 0.484
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4179
  49. scores_strength_score:
    0.541
  50. scores_quality_score:
    0.2836
  51. scores_cleanliness_score:
    0.2228
  52. scores_structural_quality:
    0.3333
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3579
  55. scores_continuation_score:
    0.4348
  56. scores_structure_score:
    0.6234
  57. scores_volatility_expansion:
    0.3742
  58. scores_momentum_type_score:
    0.6173
  59. scores_risk_score:
    0.2121
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0384
  62. features_ema50_slope:
    -0.0598
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2153
  65. features_price_vs_ema50:
    -1.2675
  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:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5543
  72. features_trend_efficiency:
    0.5936
  73. features_impulse_strength:
    2.4725
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.6183
  76. features_pullback_depth_atr:
    2.7132
  77. features_extension_from_mean:
    -1.2675
  78. features_impulse_decay_score:
    0.4298
  79. features_opposing_wick_pressure:
    0.3003
  80. features_volatility_percentile:
    0.14
  81. features_volatility_delta:
    0.1353
  82. features_body_ratio:
    0.4702
  83. features_closes_position_ratio:
    0.5153
  84. features_slope_consistency:
    0.5653
  85. features_range_position:
    0.2121
  86. features_distance_to_recent_high:
    -8.7254
  87. features_distance_to_recent_low:
    2.3485
  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 : -0.2112
  99. obi_top10 : -0.2112
  100. micro_price : 186.48755435
  101. spread_pct : 0.005363
  102. mid_price : 186.485
  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 : -0.2011
  111. obi_top5_std : 0.0147
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7022
  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] => 2026-09-21 05:00:00
        [price] => 187.87
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-21 09:00:00
        [price] => 191.17
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-21 11:00:00
        [price] => 188.36
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-21 12:00:00
        [price] => 190.29
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-21 14:00:00
        [price] => 186.08
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-21 16:00:00
        [price] => 188.73
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-21 18:00:00
        [price] => 186.62
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-21 19:00:00
        [price] => 190.19
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-22 00:00:00
        [price] => 193.85
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-22 08:00:00
        [price] => 183.85
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-22 14:00:00
        [price] => 196.44
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-22 16:00:00
        [price] => 192.43
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-22 23:00:00
        [price] => 196.34
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 189.52
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-23 13:00:00
        [price] => 192.93
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-23 14:00:00
        [price] => 186.23
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-24 09:00:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-24 13:00:00
        [price] => 187.38
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-24 14:00:00
        [price] => 184.97
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-24 16:00:00
        [price] => 188.87
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-23 22:15:00
        [price] => 189.32
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-24 00:00:00
        [price] => 188.05
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-24 00:15:00
        [price] => 188.69
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-24 01:30:00
        [price] => 188.67
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-24 02:00:00
        [price] => 187.76
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-24 02:45:00
        [price] => 188.44
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-24 04:15:00
        [price] => 187.44
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-24 05:00:00
        [price] => 188.4
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-24 07:00:00
        [price] => 186.4
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-24 08:00:00
        [price] => 187.39
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-24 09:30:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-24 11:15:00
        [price] => 186.39
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-24 11:45:00
        [price] => 184.91
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-24 12:15:00
        [price] => 186.02
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-24 13:45:00
        [price] => 187.38
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-24 14:00:00
        [price] => 185.15
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-24 16:30:00
        [price] => 188.87
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-24 18:00:00
        [price] => 184.85
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 187.38
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    184.97
  165. levels_hl_timestamp: 2026-09-24 14:00:00
  166. levels_hh_price:
    188.87
  167. levels_lh_price:
    188.87
  168. levels_lh_timestamp: 2026-09-24 16:00:00
  169. levels_ll_price:
    184.97
  170. strategy_details
  171. demand_zone_top:
    187.09
  172. demand_zone_bottom:
    183.85
  173. demand_zone_mid:
    185.47
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.8262
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : bear_medium
  180. 15m : range_low
  181. ¸

Signaux confirmants (4)

# Heure Entry Δ
1 19:06 186.52000000 0%
2 19:24 186.44000000 -0.043%
3 19:54 186.31000000 -0.113%
4 20:12 186.41000000 -0.059%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 98%

Trend

Trend Strength
-0.009
Persistence
0.500
High Δ ATR
1.152
Low Δ ATR
0.781

Current Swing

Amp ATR
2.473
Speed
1.236
Efficiency
0.594

Structure

Retracement
1.618
Extension
1.140
Compression
0.852
Entropy
1.000
Breakout Str.
-0.665
Dist High ATR
-1.817
Dist Low ATR
1.198
29 pivots · 28 swings · Last pivot: ↑ 188.8700 @ bar 142

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.418
Strength Score 0.541
Quality Score 0.284
Cleanliness Score 0.223
Structural Quality 0.333
Pullback Score 1.000
Exhaustion Score 0.358
Continuation Score 0.435
Structure Score 0.623
Volatility Expansion 0.374
Momentum Type Score 0.617
Risk Score 0.212
Features
Ema20 Slope
-0.038
Ema50 Slope
-0.060
Ema Alignment Score
0.000
Price Vs Ema20
-0.215
Price Vs Ema50
-1.268
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.554
Trend Efficiency
0.594
Impulse Strength
2.473
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.618
Pullback Depth Atr
2.713
Extension From Mean
-1.268
Impulse Decay Score
0.430
Opposing Wick Pressure
0.300
Volatility Percentile
0.140
Volatility Delta
0.135
Body Ratio
0.470
Closes Position Ratio
0.515
Slope Consistency
0.565
Range Position
0.212
Distance To Recent High
-8.725
Distance To Recent Low
2.349
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7022ms Confidence avant OB : 72% → 62%

Order Book Imbalance

OBI Top 5 -0.211
avg -0.201 ± 0.015
OBI Top 10 -0.211

Microstructure

Mid Price
186.4850
Micro Price
186.4876
Spread
0.0054%

📌 Time Data

Start at Closed at Duration
24 Sep 2026
19:06:15
27 Sep 2026
22:45:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
186.52 184.8765 194.985 5.15 146.85
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 186.52
  • Stop Loss: 184.8765
  • Take Profit: 194.985

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 184.8765 - 186.52 = -1.6435

  • Récompense (distance jusqu'au take profit):

    E - TP = 186.52 - 194.985 = -8.465

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -8.465 / -1.6435 = 5.1506

📌 Position Size

Amount Margin Quantity Leverage
907.9137 100 4.8676 9.08
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 -1.6435

Taille de position = 8 / -1.6435 = -4.87

Taille de position USD = -4.87 x 186.52 = -908.35

Donc, tu peux acheter -4.87 avec un stoploss a 184.8765

Avec un position size USD de -908.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.87 x -1.6435 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.87 x -8.465 = 41.22

Si Take Profit atteint, tu gagneras 41.22$

Résumé

  • Taille de position -4.87
  • Taille de position USD -908.35
  • Perte potentielle 8
  • Gain potentiel 41.22
  • Risk-Reward Ratio 5.1506

📌 Peformances

TP % Target TP $ Target
4.54 % 41.2 $
SL % Target SL $ Target
0.88 % 8 $
PNL PNL %
-8 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8953 % 101.61 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.78
            [max_drawdown] => 0.47
            [rr_ratio] => 1.66
            [high] => 187.30000000
            [low] => 186.05000000
            [mfe_pct] => 0.42
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 24
            [start_at] => 2026-09-24T19:06:15-04:00
            [end_at] => 2026-09-24T21:06:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.02
            [max_drawdown] => 0.47
            [rr_ratio] => 4.3
            [high] => 188.54000000
            [low] => 186.05000000
            [mfe_pct] => 1.08
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 4.3
            [candles_analyzed] => 84
            [start_at] => 2026-09-24T19:06:15-04:00
            [end_at] => 2026-09-25T02:06:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 186.89000000
            [high_after] => 188.54000000
            [low_before] => 186.03000000
            [low_after] => 186.05000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#5 / n/a OK
seuil : top 15 · score du 24/09/2026 19:00
Signal Confidence
62 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime