24 Sep 2026 at 07:54:15

Short Trade on SKHY (BosPullback)

With 6.86 SKHY at 185.18$ per unit. Take profit: 182.2628 (1.58 %) & Stop Loss: 186.3469 (0.63 %)

Short BosPullback on SKHY (24 Sep 2026 at 07:54:15 to 09:35:00 - 1 hour )

With 6.8559 SKHY at 185.18$ per unit.

Position size of 1269.5732 $
Take profit at 182.2628 (1.58 %) and Stop Loss at 186.3469 (0.63 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.41
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 : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bull_medium

tf_aligned : 1

24/09 07:01

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : bear_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range strong balanced volatile_reversal bull_high
58%
24/09 08:00
1h ↓ down transition bearish_transition moderate fading compression bear_medium
71%
24/09 11:00
15m ↓ down transition bearish_transition moderate grind volatile_reversal bear_low
46%
24/09 11:30
5m ↓ down range range moderate grind normal range_low
51%
24/09 11:45

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=2|retests=1|break_atr=1.03|prog=0.48|zone=invalid|ob:ask_pressure(+0.07)
  4. stop_price: 186.34688029
  5. tp_price: 182.26279929
  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 : impulse_down
  11. confidence : 1
  12. trend_strength : -0.4567
  13. trend_persistence : 0.6667
  14. high_delta_atr : -2.6471
  15. low_delta_atr : -1.7621
  16. current_swing_amp_atr : 1.7624
  17. current_swing_speed : 0.09276
  18. current_swing_efficiency : 0.0883
  19. retracement_ratio :
  20. extension_ratio : 0.3388
  21. compression_score : 0.879
  22. swing_entropy : 0.9183
  23. breakout_strength : 3.3923
  24. distance_to_last_high_atr : -6.0394
  25. distance_to_last_low_atr : 0.9238
  26. pivot_count : 28
  27. swing_count : 27
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    183.96
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : high
  41. momentum_type : fading
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.502
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2263
  49. scores_strength_score:
    0.4528
  50. scores_quality_score:
    0.2967
  51. scores_cleanliness_score:
    0.2264
  52. scores_structural_quality:
    0.3542
  53. scores_pullback_score:
    0
  54. scores_exhaustion_score:
    0.6727
  55. scores_continuation_score:
    0.2637
  56. scores_structure_score:
    0.2951
  57. scores_volatility_expansion:
    0.156
  58. scores_momentum_type_score:
    0.4508
  59. scores_risk_score:
    0.1033
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.2012
  62. features_ema50_slope:
    -0.1156
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.9073
  65. features_price_vs_ema50:
    -3.0048
  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:
    0.5472
  72. features_trend_efficiency:
    0.0883
  73. features_impulse_strength:
    3.7643
  74. features_directional_candle_ratio:
    0.75
  75. features_pullback_depth_ratio:
    0
  76. features_pullback_depth_atr:
    0
  77. features_extension_from_mean:
    -3.0048
  78. features_impulse_decay_score:
    0.8306
  79. features_opposing_wick_pressure:
    0.3103
  80. features_volatility_percentile:
    0.26
  81. features_volatility_delta:
    -0.3549
  82. features_body_ratio:
    0.4263
  83. features_closes_position_ratio:
    0.436
  84. features_slope_consistency:
    0.8884
  85. features_range_position:
    0.1033
  86. features_distance_to_recent_high:
    -8.9835
  87. features_distance_to_recent_low:
    1.0344
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : -0.219
  99. obi_top10 : -0.219
  100. micro_price : 185.18704835
  101. spread_pct : 0.010801
  102. mid_price : 185.18
  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 : -0.226
  111. obi_top5_std : 0.0064
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6923
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-09-21 00:00:00
        [price] => 189.52
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-21 01:00:00
        [price] => 187.9
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-21 03:00:00
        [price] => 189.3
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-21 05:00:00
        [price] => 187.87
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-21 09:00:00
        [price] => 191.17
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-21 11:00:00
        [price] => 188.36
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-21 12:00:00
        [price] => 190.29
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-21 14:00:00
        [price] => 186.08
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-21 16:00:00
        [price] => 188.73
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-21 18:00:00
        [price] => 186.62
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-21 19:00:00
        [price] => 190.19
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-22 00:00:00
        [price] => 193.85
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-22 08:00:00
        [price] => 183.85
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-22 14:00:00
        [price] => 196.44
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-22 16:00:00
        [price] => 192.43
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-22 23:00:00
        [price] => 196.34
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 189.52
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-23 13:00:00
        [price] => 192.93
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-23 14:00:00
        [price] => 186.23
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-24 09:00:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 191.49
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-23 11:30:00
        [price] => 189.52
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-23 13:30:00
        [price] => 192.93
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-23 14:15:00
        [price] => 186.23
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-23 15:15:00
        [price] => 190.95
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-23 17:00:00
        [price] => 188.05
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-23 18:15:00
        [price] => 190.17
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-23 19:45:00
        [price] => 187.88
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-23 22:00:00
        [price] => 189.34
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-24 00:45:00
        [price] => 187.94
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-24 01:30:00
        [price] => 188.67
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-24 02:00:00
        [price] => 187.76
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-24 02:45:00
        [price] => 188.44
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-24 04:15:00
        [price] => 187.44
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-24 05:00:00
        [price] => 188.4
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-24 07:00:00
        [price] => 186.4
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-24 08:00:00
        [price] => 187.39
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-24 09:30:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-09-24 11:15:00
        [price] => 186.39
        [kind] => high
        [label] => LH
    )
    
  162. bos_level_long : 0
  163. bos_level_short : 186.23
  164. strategy_details
  165. levels_hl_price:
    183.96
  166. levels_hl_timestamp: 2026-09-24 09:00:00
  167. levels_hh_price:
    192.93
  168. levels_lh_price:
    186.23
  169. levels_lh_timestamp: 2026-09-23 14:00:00
  170. levels_ll_price:
    183.96
  171. strategy_details
  172. demand_zone_top:
    185.06
  173. demand_zone_bottom:
    182.88
  174. demand_zone_mid:
    183.97
  175. demand_zone_freshness: weak
  176. demand_zone_strength:
    1.0391
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bear_medium
  181. 15m : bear_low
  182. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 07:54 185.18000000 0%
2 08:36 185.14000000 -0.022%
3 08:42 185.14000000 -0.022%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 100%

Trend

Trend Strength
-0.457
Persistence
0.667
High Δ ATR
-2.647
Low Δ ATR
-1.762

Current Swing

Amp ATR
1.762
Speed
0.093
Efficiency
0.088

Structure

Extension
0.339
Compression
0.879
Entropy
0.918
Breakout Str.
3.392
Dist High ATR
-6.039
Dist Low ATR
0.924
28 pivots · 27 swings · Last pivot: ↓ 183.9600 @ bar 147

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 50%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion high
momentum fading
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.226
Strength Score 0.453
Quality Score 0.297
Cleanliness Score 0.226
Structural Quality 0.354
Pullback Score 0.000
Exhaustion Score 0.673
Continuation Score 0.264
Structure Score 0.295
Volatility Expansion 0.156
Momentum Type Score 0.451
Risk Score 0.103
Features
Ema20 Slope
-0.201
Ema50 Slope
-0.116
Ema Alignment Score
0.000
Price Vs Ema20
-1.907
Price Vs Ema50
-3.005
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
0.547
Trend Efficiency
0.088
Impulse Strength
3.764
Directional Candle Ratio
0.750
Pullback Depth Ratio
0.000
Pullback Depth Atr
0.000
Extension From Mean
-3.005
Impulse Decay Score
0.831
Opposing Wick Pressure
0.310
Volatility Percentile
0.260
Volatility Delta
-0.355
Body Ratio
0.426
Closes Position Ratio
0.436
Slope Consistency
0.888
Range Position
0.103
Distance To Recent High
-8.984
Distance To Recent Low
1.034
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6923ms Confidence avant OB : 79% → 86%

Order Book Imbalance

OBI Top 5 -0.219
avg -0.226 ± 0.006
OBI Top 10 -0.219

Microstructure

Mid Price
185.1800
Micro Price
185.1870
Spread
0.0108%

📌 Time Data

Start at Closed at Duration
24 Sep 2026
07:54:15
24 Sep 2026
09:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
185.18 186.3469 182.2628 2.5 147.68
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 185.18
  • Stop Loss: 186.3469
  • Take Profit: 182.2628

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 186.3469 - 185.18 = 1.1669

  • Récompense (distance jusqu'au take profit):

    E - TP = 185.18 - 182.2628 = 2.9172

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.9172 / 1.1669 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1269.5732 100 6.8559 12.70
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 1.1669

Taille de position = 8 / 1.1669 = 6.86

Taille de position USD = 6.86 x 185.18 = 1270.33

Donc, tu peux acheter 6.86 avec un stoploss a 186.3469

Avec un position size USD de 1270.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6.86 x 1.1669 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6.86 x 2.9172 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position 6.86
  • Taille de position USD 1270.33
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.58 % 20 $
SL % Target SL $ Target
0.63 % 8 $
PNL PNL %
-8 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7506 % 119.12 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 182.2628
            [entry_price] => 185.18
            [stop_loss] => 186.46359
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-09-24 13:35:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 182.2628
            [entry_price] => 185.18
            [stop_loss] => 186.58028
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-09-24 13:45:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 182.2628
            [entry_price] => 185.18
            [stop_loss] => 186.69697
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-09-24 13:45:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 182.2628
            [entry_price] => 185.18
            [stop_loss] => 186.93035
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-09-24 13:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.77000000000001
            [max_drawdown] => 2.2
            [rr_ratio] => 0.35
            [high] => 187.38000000
            [low] => 184.41000000
            [mfe_pct] => 0.42
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2026-09-24T07:54:15-04:00
            [end_at] => 2026-09-24T09:54:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.77000000000001
            [max_drawdown] => 3.69
            [rr_ratio] => 0.21
            [high] => 188.87000000
            [low] => 184.41000000
            [mfe_pct] => 0.42
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 84
            [start_at] => 2026-09-24T07:54:15-04:00
            [end_at] => 2026-09-24T14:54:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 187.39000000
            [high_after] => 188.87000000
            [low_before] => 183.96000000
            [low_after] => 184.41000000
            [is_new_high] => 
            [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 24/09/2026 07:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime