24 Sep 2026 at 10:18:18

Short Trade on SKHY (BosPullback)

With 3.53 SKHY at 185.28$ per unit. Take profit: 179.622 (3.05 %) & Stop Loss: 187.5432 (1.22 %)

Short BosPullback on SKHY (24 Sep 2026 at 10:18:18 to 12:15:00 - 1 hour )

With 3.5348 SKHY at 185.28$ per unit.

Position size of 654.9285 $
Take profit at 179.622 (3.05 %) and Stop Loss at 187.5432 (1.22 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.18
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 : range_medium

rules_regime_5m : bull_low

Score : 1

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bull_medium

tf_aligned : 1

24/09 10:01

BTC Correlation Coin Market Regime

1H_regime : bear_high_confirmed

15m_regime : bear_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range strong balanced volatile_reversal bull_high
57%
24/09 12:00
1h ↓ down transition bearish_transition moderate grind compression bear_medium
73%
24/09 14:00
15m ↓ down range bullish_transition weak grind expansion_after_compression bear_medium
67%
24/09 14:00
5m ↔ neutral transition bullish_transition moderate grind volatile_reversal range_low
37%
24/09 14:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=5|retests=1|break_atr=0.98|prog=0.61|zone=invalid
  4. stop_price: 187.54320895
  5. tp_price: 179.62197762
  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 : pullback_down
  11. confidence : 1
  12. trend_strength : -0.1891
  13. trend_persistence : 0.5
  14. high_delta_atr : -4.0692
  15. low_delta_atr : -1.6643
  16. current_swing_amp_atr : 2.4196
  17. current_swing_speed : 0.60491
  18. current_swing_efficiency : 0.3945
  19. retracement_ratio : 1.5066
  20. extension_ratio : 1.0029
  21. compression_score : 0.8767
  22. swing_entropy : 1
  23. breakout_strength : -5.6089
  24. distance_to_last_high_atr : -1.5397
  25. distance_to_last_low_atr : 0.9678
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    187.38
  31. last_pivot_index:
    148
  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 : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.576
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2639
  49. scores_strength_score:
    0.5731
  50. scores_quality_score:
    0.3504
  51. scores_cleanliness_score:
    0.1819
  52. scores_structural_quality:
    0.4883
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4851
  55. scores_continuation_score:
    0.335
  56. scores_structure_score:
    0.3219
  57. scores_volatility_expansion:
    0.2743
  58. scores_momentum_type_score:
    0.5319
  59. scores_risk_score:
    0.1136
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1516
  62. features_ema50_slope:
    -0.1007
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.2177
  65. features_price_vs_ema50:
    -2.3305
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6363
  72. features_trend_efficiency:
    0.3945
  73. features_impulse_strength:
    3.7643
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    1.5066
  76. features_pullback_depth_atr:
    2.6553
  77. features_extension_from_mean:
    -2.3305
  78. features_impulse_decay_score:
    0.4986
  79. features_opposing_wick_pressure:
    0.3269
  80. features_volatility_percentile:
    0.38
  81. features_volatility_delta:
    -0.2306
  82. features_body_ratio:
    0.3593
  83. features_closes_position_ratio:
    0.429
  84. features_slope_consistency:
    0.9127
  85. features_range_position:
    0.1136
  86. features_distance_to_recent_high:
    -8.0307
  87. features_distance_to_recent_low:
    1.029
  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 : -0.0881
  99. obi_top10 : -0.0881
  100. micro_price : 185.24972171
  101. spread_pct : 0.016197
  102. mid_price : 185.235
  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 : -0.0891
  111. obi_top5_std : 0.0125
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6909
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-09-21 01:00:00
        [price] => 187.9
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-21 03:00:00
        [price] => 189.3
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-21 05:00:00
        [price] => 187.87
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-21 09:00:00
        [price] => 191.17
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-21 11:00:00
        [price] => 188.36
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-21 12:00:00
        [price] => 190.29
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-21 14:00:00
        [price] => 186.08
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-21 16:00:00
        [price] => 188.73
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-21 18:00:00
        [price] => 186.62
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-21 19:00:00
        [price] => 190.19
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-22 00:00:00
        [price] => 193.85
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-22 08:00:00
        [price] => 183.85
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-22 14:00:00
        [price] => 196.44
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-22 16:00:00
        [price] => 192.43
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-22 23:00:00
        [price] => 196.34
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-23 11:00:00
        [price] => 189.52
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-23 13:00:00
        [price] => 192.93
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-23 14:00:00
        [price] => 186.23
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-24 09:00:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-24 13:00:00
        [price] => 187.38
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-23 13:30:00
        [price] => 192.93
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-23 14:15:00
        [price] => 186.23
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-23 15:15:00
        [price] => 190.95
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-23 17:00:00
        [price] => 188.05
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-23 18:15:00
        [price] => 190.17
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-23 19:45:00
        [price] => 187.88
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-23 22:00:00
        [price] => 189.34
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-24 02:00:00
        [price] => 187.76
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-24 03:00:00
        [price] => 188.44
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-24 04:15:00
        [price] => 187.44
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-24 05:00:00
        [price] => 188.4
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-24 07:00:00
        [price] => 186.4
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-24 08:00:00
        [price] => 187.39
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-24 09:30:00
        [price] => 183.96
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-24 11:15:00
        [price] => 186.39
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-24 11:45:00
        [price] => 184.91
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-24 12:15:00
        [price] => 186.02
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-24 13:45:00
        [price] => 187.38
        [kind] => high
        [label] => HH
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 186.23
  163. strategy_details
  164. levels_hl_price:
    183.96
  165. levels_hl_timestamp: 2026-09-24 09:00:00
  166. levels_hh_price:
    187.38
  167. levels_lh_price:
    187.38
  168. levels_lh_timestamp: 2026-09-24 13:00:00
  169. levels_ll_price:
    183.96
  170. strategy_details
  171. demand_zone_top:
    185.06
  172. demand_zone_bottom:
    182.88
  173. demand_zone_mid:
    183.97
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    1.0426
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : bear_high_confirmed
  180. 15m : bear_medium
  181. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 10:18 185.28000000 0%
2 10:54 185.47000000 +0.103%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 100%

Trend

Trend Strength
-0.189
Persistence
0.500
High Δ ATR
-4.069
Low Δ ATR
-1.664

Current Swing

Amp ATR
2.420
Speed
0.605
Efficiency
0.395

Structure

Retracement
1.507
Extension
1.003
Compression
0.877
Entropy
1.000
Breakout Str.
-5.609
Dist High ATR
-1.540
Dist Low ATR
0.968
29 pivots · 28 swings · Last pivot: ↑ 187.3800 @ bar 148

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 58%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.264
Strength Score 0.573
Quality Score 0.350
Cleanliness Score 0.182
Structural Quality 0.488
Pullback Score 1.000
Exhaustion Score 0.485
Continuation Score 0.335
Structure Score 0.322
Volatility Expansion 0.274
Momentum Type Score 0.532
Risk Score 0.114
Features
Ema20 Slope
-0.152
Ema50 Slope
-0.101
Ema Alignment Score
0.000
Price Vs Ema20
-1.218
Price Vs Ema50
-2.331
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.636
Trend Efficiency
0.395
Impulse Strength
3.764
Directional Candle Ratio
0.700
Pullback Depth Ratio
1.507
Pullback Depth Atr
2.655
Extension From Mean
-2.331
Impulse Decay Score
0.499
Opposing Wick Pressure
0.327
Volatility Percentile
0.380
Volatility Delta
-0.231
Body Ratio
0.359
Closes Position Ratio
0.429
Slope Consistency
0.913
Range Position
0.114
Distance To Recent High
-8.031
Distance To Recent Low
1.029
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6909ms Confidence avant OB : 86% → 86%

Order Book Imbalance

OBI Top 5 -0.088
avg -0.089 ± 0.013
OBI Top 10 -0.088

Microstructure

Mid Price
185.2350
Micro Price
185.2497
Spread
0.0162%

📌 Time Data

Start at Closed at Duration
24 Sep 2026
10:18:18
24 Sep 2026
12:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
185.28 187.5432 179.622 2.5 147.41
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 185.28
  • Stop Loss: 187.5432
  • Take Profit: 179.622

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 187.5432 - 185.28 = 2.2632

  • Récompense (distance jusqu'au take profit):

    E - TP = 185.28 - 179.622 = 5.658

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.658 / 2.2632 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
654.9285 100 3.5348 6.55
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 2.2632

Taille de position = 8 / 2.2632 = 3.53

Taille de position USD = 3.53 x 185.28 = 654.04

Donc, tu peux acheter 3.53 avec un stoploss a 187.5432

Avec un position size USD de 654.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3.53 x 2.2632 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3.53 x 5.658 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position 3.53
  • Taille de position USD 654.04
  • Perte potentielle 7.99
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
3.05 % 20 $
SL % Target SL $ Target
1.22 % 8 $
PNL PNL %
-8 $ -1.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3007 % 106.48 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 179.622
            [entry_price] => 185.28
            [stop_loss] => 187.76952
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-09-24 16:20:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 179.622
            [entry_price] => 185.28
            [stop_loss] => 187.99584
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-09-24 16:20:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 179.622
            [entry_price] => 185.28
            [stop_loss] => 188.22216
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-09-24 16:35:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 179.622
            [entry_price] => 185.28
            [stop_loss] => 188.6748
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-09-24 16:40:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.31
            [max_drawdown] => 2.42
            [rr_ratio] => 0.13
            [high] => 187.70000000
            [low] => 184.97000000
            [mfe_pct] => 0.17
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2026-09-24T10:18:18-04:00
            [end_at] => 2026-09-24T12:18:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.43000000000001
            [max_drawdown] => 3.59
            [rr_ratio] => 0.12
            [high] => 188.87000000
            [low] => 184.85000000
            [mfe_pct] => 0.23
            [mae_pct] => 1.94
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2026-09-24T10:18:18-04:00
            [end_at] => 2026-09-24T17:18:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 187.38000000
            [high_after] => 188.87000000
            [low_before] => 184.41000000
            [low_after] => 184.85000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#4 / n/a OK
seuil : top 15 · score du 24/09/2026 10:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime