30 Sep 2026 at 20:42:20

Short Trade on SKHY (BosPullback)

With 2.89 SKHY at 182.98$ per unit. Take profit: 176.0576 (3.78 %) & Stop Loss: 185.749 (1.51 %)

Short BosPullback on SKHY (30 Sep 2026 at 20:42:20 to 22:20:00 - 1 hour )

With 2.8892 SKHY at 182.98$ per unit.

Position size of 528.6573 $
Take profit at 176.0576 (3.78 %) and Stop Loss at 185.749 (1.51 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.36
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 : bull_high_confirmed

rules_regime : bull_high

rules_regime_4h : range_medium

tf_aligned :

30/09 20:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bear_medium_confirmed

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind volatile_reversal bear_high
59%
01/10 00:00
1h ↓ down range range moderate grind expansion bear_medium
72%
01/10 00:00
15m ↓ down early_expansion bearish_transition moderate balanced expansion bear_medium
72%
01/10 00:30
5m ↓ down range range moderate grind volatile_reversal bear_low_confirmed
35%
01/10 00:35

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=3|retests=1|break_atr=0.48|prog=0.64|zone=invalid
  4. stop_price: 185.74897744
  5. tp_price: 176.05755639
  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 : 0.816
  12. trend_strength : -0.1314
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.7978
  15. low_delta_atr : -1.205
  16. current_swing_amp_atr : 1.5948
  17. current_swing_speed : 1.59482
  18. current_swing_efficiency : 0.6286
  19. retracement_ratio : 0.4645
  20. extension_ratio : 0.7246
  21. compression_score : 1.018
  22. swing_entropy : 1
  23. breakout_strength : -2.7966
  24. distance_to_last_high_atr : -0.9988
  25. distance_to_last_low_atr : 0.5606
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    185.58
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : early_expansion
  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 : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.6
  46. state : down_early_expansion_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.278
  49. scores_strength_score:
    0.6468
  50. scores_quality_score:
    0.3929
  51. scores_cleanliness_score:
    0.2294
  52. scores_structural_quality:
    0.5267
  53. scores_pullback_score:
    0.4645
  54. scores_exhaustion_score:
    0.4118
  55. scores_continuation_score:
    0.5877
  56. scores_structure_score:
    0.312
  57. scores_volatility_expansion:
    0.976
  58. scores_momentum_type_score:
    0.6334
  59. scores_risk_score:
    0.3454
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0484
  62. features_ema50_slope:
    -0.0254
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.749
  65. features_price_vs_ema50:
    -0.9703
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5412
  72. features_trend_efficiency:
    0.6286
  73. features_impulse_strength:
    3.4114
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.4645
  76. features_pullback_depth_atr:
    1.5846
  77. features_extension_from_mean:
    -0.9703
  78. features_impulse_decay_score:
    0.6377
  79. features_opposing_wick_pressure:
    0.2873
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.34
  82. features_body_ratio:
    0.4644
  83. features_closes_position_ratio:
    0.4536
  84. features_slope_consistency:
    0.71
  85. features_range_position:
    0.3454
  86. features_distance_to_recent_high:
    -5.1253
  87. features_distance_to_recent_low:
    2.7041
  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 : -0.0605
  99. obi_top10 : -0.0605
  100. micro_price : 184.04301659
  101. spread_pct : 0.021737
  102. mid_price : 184.04
  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 : -0.0519
  111. obi_top5_std : 0.0123
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6969
  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] => 2026-09-26 21:00:00
        [price] => 190.91
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-27 08:00:00
        [price] => 192.66
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-27 09:00:00
        [price] => 191.96
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-27 21:00:00
        [price] => 192.73
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-28 02:00:00
        [price] => 184.68
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-28 04:00:00
        [price] => 186.37
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-28 09:00:00
        [price] => 183.06
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-28 13:00:00
        [price] => 186.65
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-28 14:00:00
        [price] => 179.44
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-28 16:00:00
        [price] => 184.03
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-28 20:00:00
        [price] => 181.7
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-29 00:00:00
        [price] => 184.64
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-29 05:00:00
        [price] => 180.73
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-29 14:00:00
        [price] => 188.3
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-29 15:00:00
        [price] => 186.1
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-30 00:00:00
        [price] => 188.93
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-30 11:00:00
        [price] => 185.03
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-30 13:00:00
        [price] => 188.37
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-30 21:00:00
        [price] => 183.16
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-30 22:00:00
        [price] => 185.58
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-30 00:30:00
        [price] => 188.93
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-30 00:45:00
        [price] => 186.82
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-30 02:30:00
        [price] => 185.26
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-30 04:30:00
        [price] => 187.12
        [kind] => high
        [label] => 
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-30 05:15:00
        [price] => 185.12
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-30 05:30:00
        [price] => 187.12
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-30 06:15:00
        [price] => 185.28
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-30 08:00:00
        [price] => 186.86
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-30 11:15:00
        [price] => 185.03
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-30 13:15:00
        [price] => 188.37
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-30 13:45:00
        [price] => 184.83
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-30 14:15:00
        [price] => 186.61
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-30 18:45:00
        [price] => 184.18
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-30 20:15:00
        [price] => 186.47
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-30 21:15:00
        [price] => 183.16
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-30 22:30:00
        [price] => 185.58
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-10-01 00:00:00
        [price] => 183.14
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-10-01 00:15:00
        [price] => 184.69
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 185.03
  163. strategy_details
  164. levels_hl_price:
    183.16
  165. levels_hl_timestamp: 2026-09-30 21:00:00
  166. levels_hh_price:
    185.58
  167. levels_lh_price:
    185.58
  168. levels_lh_timestamp: 2026-09-30 22:00:00
  169. levels_ll_price:
    183.16
  170. strategy_details
  171. demand_zone_top:
    182.7
  172. demand_zone_bottom:
    180.73
  173. demand_zone_mid:
    181.715
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8313
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : bear_high
  180. 15m : bear_medium_confirmed
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 82%

Trend

Trend Strength
-0.131
Persistence
0.500
High Δ ATR
-1.798
Low Δ ATR
-1.205

Current Swing

Amp ATR
1.595
Speed
1.595
Efficiency
0.629

Structure

Retracement
0.465
Extension
0.725
Compression
1.018
Entropy
1.000
Breakout Str.
-2.797
Dist High ATR
-0.999
Dist Low ATR
0.561
27 pivots · 26 swings · Last pivot: ↑ 185.5800 @ bar 147

Trend Analyzer 1H

1H ↓ down down_early_expansion_grind
Confidence 60%

Context

phase early_expansion
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.278
Strength Score 0.647
Quality Score 0.393
Cleanliness Score 0.229
Structural Quality 0.527
Pullback Score 0.465
Exhaustion Score 0.412
Continuation Score 0.588
Structure Score 0.312
Volatility Expansion 0.976
Momentum Type Score 0.633
Risk Score 0.345
Features
Ema20 Slope
-0.048
Ema50 Slope
-0.025
Ema Alignment Score
0.000
Price Vs Ema20
-0.749
Price Vs Ema50
-0.970
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.629
Impulse Strength
3.411
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.465
Pullback Depth Atr
1.585
Extension From Mean
-0.970
Impulse Decay Score
0.638
Opposing Wick Pressure
0.287
Volatility Percentile
0.960
Volatility Delta
0.340
Body Ratio
0.464
Closes Position Ratio
0.454
Slope Consistency
0.710
Range Position
0.345
Distance To Recent High
-5.125
Distance To Recent Low
2.704
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6969ms Confidence avant OB : 79% → 79%

Order Book Imbalance

OBI Top 5 -0.061
avg -0.052 ± 0.012
OBI Top 10 -0.061

Microstructure

Mid Price
184.0400
Micro Price
184.0430
Spread
0.0217%

📌 Time Data

Start at Closed at Duration
30 Sep 2026
20:42:20
30 Sep 2026
22:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
182.98 185.749 176.0576 2.5 137.56
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 182.98
  • Stop Loss: 185.749
  • Take Profit: 176.0576

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 185.749 - 182.98 = 2.769

  • Récompense (distance jusqu'au take profit):

    E - TP = 182.98 - 176.0576 = 6.9224

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.9224 / 2.769 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
528.6573 100 2.8892 5.29
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 2.769

Taille de position = 8 / 2.769 = 2.89

Taille de position USD = 2.89 x 182.98 = 528.81

Donc, tu peux acheter 2.89 avec un stoploss a 185.749

Avec un position size USD de 528.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.89 x 2.769 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.89 x 6.9224 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position 2.89
  • Taille de position USD 528.81
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
3.78 % 20 $
SL % Target SL $ Target
1.51 % 8 $
PNL PNL %
-8 $ -1.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5412 % 101.84 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 176.0576
            [entry_price] => 182.98
            [stop_loss] => 186.0259
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-10-01 02:30:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 176.0576
            [entry_price] => 182.98
            [stop_loss] => 186.3028
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-10-01 02:30:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 176.0576
            [entry_price] => 182.98
            [stop_loss] => 186.5797
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-10-01 03:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 176.0576
            [entry_price] => 182.98
            [stop_loss] => 187.1335
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-10-01 03:05:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -1.12
            [max_drawdown] => 3.48
            [rr_ratio] => -0.32
            [high] => 186.46000000
            [low] => 184.10000000
            [mfe_pct] => -0.61
            [mae_pct] => 1.9
            [mfe_mae_ratio] => -0.32
            [candles_analyzed] => 24
            [start_at] => 2026-09-30T20:42:20-04:00
            [end_at] => 2026-09-30T22:42:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -1.12
            [max_drawdown] => 6.21
            [rr_ratio] => -0.18
            [high] => 189.19000000
            [low] => 184.10000000
            [mfe_pct] => -0.61
            [mae_pct] => 3.39
            [mfe_mae_ratio] => -0.18
            [candles_analyzed] => 84
            [start_at] => 2026-09-30T20:42:20-04:00
            [end_at] => 2026-10-01T03:42:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 186.09000000
            [high_after] => 189.19000000
            [low_before] => 182.80000000
            [low_after] => 184.10000000
            [is_new_high] => 
            [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 30/09/2026 20:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime