08 Jul 2026 at 22:54:19

Short Trade on SKHY (BosPullback)

With 0.84 SKHY at 148.96$ per unit. Take profit: 125.1317 (16 %) & Stop Loss: 158.4913 (6.4 %)

Short BosPullback on SKHY (08 Jul 2026 at 22:54:19 to 06:40:00 - 7 hours )

With 0.8393 SKHY at 148.96$ per unit.

Position size of 125.0278 $
Take profit at 125.1317 (16 %) and Stop Loss at 158.4913 (6.4 %)

That's a 2.5 RR Trade
Duration: 7 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.6
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 : bear_medium

rules_regime_5m : bear_low

Score : 2

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

08/07 22:00

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
46%
08/07 16:00
1h ↔ neutral range range moderate grind normal bear_high
75%
09/07 02:00
15m ↔ neutral range range moderate balanced volatile_reversal range_high
37%
09/07 02:30
5m ↓ down transition bearish_transition strong explosive compression bear_high
73%
09/07 02:45

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=17|retests=1|break_atr=2.05|prog=0.53|zone=weak
  4. stop_price: 158.49131762
  5. tp_price: 125.13170594
  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 : range
  11. confidence : 0.693
  12. trend_strength : 0.1533
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.1722
  15. low_delta_atr : -2.4301
  16. current_swing_amp_atr : 4.4806
  17. current_swing_speed : 0.2987
  18. current_swing_efficiency : 0.2994
  19. retracement_ratio : 1.7262
  20. extension_ratio : 1.0495
  21. compression_score : 0.91
  22. swing_entropy : 1
  23. breakout_strength : -2.058
  24. distance_to_last_high_atr : -2.2302
  25. distance_to_last_low_atr : 1.9645
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    158
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  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 : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.496
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3234
  49. scores_strength_score:
    0.489
  50. scores_quality_score:
    0.3756
  51. scores_cleanliness_score:
    0.2255
  52. scores_structural_quality:
    0.4983
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2977
  55. scores_continuation_score:
    0.4151
  56. scores_structure_score:
    0.3418
  57. scores_volatility_expansion:
    0.8173
  58. scores_momentum_type_score:
    0.5399
  59. scores_risk_score:
    0.2979
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0362
  62. features_ema50_slope:
    0.0088
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.397
  65. features_price_vs_ema50:
    -0.5055
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    17
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5489
  72. features_trend_efficiency:
    0.2994
  73. features_impulse_strength:
    4.4806
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.7262
  76. features_pullback_depth_atr:
    4.5968
  77. features_extension_from_mean:
    -0.5055
  78. features_impulse_decay_score:
    0.4752
  79. features_opposing_wick_pressure:
    0.2535
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.062
  82. features_body_ratio:
    0.3809
  83. features_closes_position_ratio:
    0.5768
  84. features_slope_consistency:
    0.8816
  85. features_range_position:
    0.2979
  86. features_distance_to_recent_high:
    -4.1437
  87. features_distance_to_recent_low:
    1.7579
  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 : 0.0734
  99. obi_top10 : 0.5816
  100. micro_price : 147.42714286
  101. spread_pct : 0.10175
  102. mid_price : 147.495
  103. bid_wall_price : 142
  104. bid_wall_size : 1728.94
  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 : 0.057
  111. obi_top5_std : 0.0177
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6855
  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] => 2026-07-04 22:00:00
        [price] => 167.38
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-05 05:00:00
        [price] => 165.63
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-05 12:00:00
        [price] => 169.09
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-05 14:00:00
        [price] => 165.18
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-05 16:00:00
        [price] => 168.75
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-05 20:00:00
        [price] => 165.12
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-05 23:00:00
        [price] => 169.29
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-06 02:00:00
        [price] => 151
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-06 15:00:00
        [price] => 160.2
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-06 23:00:00
        [price] => 149.45
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-07 00:00:00
        [price] => 155.8
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-07 05:00:00
        [price] => 140.43
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-07 08:00:00
        [price] => 150.84
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-07 14:00:00
        [price] => 144.1
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-07 16:00:00
        [price] => 150.7
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-07 23:00:00
        [price] => 138.39
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-08 01:00:00
        [price] => 157.19
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-08 02:00:00
        [price] => 149.7
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-08 09:00:00
        [price] => 138.27
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-09 00:00:00
        [price] => 158
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-08 03:15:00
        [price] => 156.62
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-08 04:45:00
        [price] => 145
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-08 05:00:00
        [price] => 149.13
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-08 09:15:00
        [price] => 138.27
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-08 10:30:00
        [price] => 143.04
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-08 11:00:00
        [price] => 140
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-08 14:00:00
        [price] => 150.08
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-08 14:45:00
        [price] => 143.65
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-08 15:00:00
        [price] => 148.55
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-08 21:30:00
        [price] => 153.03
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-08 22:15:00
        [price] => 150.65
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-08 22:30:00
        [price] => 153.23
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-08 23:15:00
        [price] => 150.66
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-09 00:15:00
        [price] => 158
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-09 00:45:00
        [price] => 151.96
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-09 01:15:00
        [price] => 156.22
        [kind] => high
        [label] => LH
    )
    
  159. bos_level_long : 0
  160. bos_level_short : 149.7
  161. strategy_details
  162. levels_hl_price:
    138.27
  163. levels_hl_timestamp: 2026-07-08 09:00:00
  164. levels_hh_price:
    158
  165. levels_lh_price:
    158
  166. levels_lh_timestamp: 2026-07-09 00:00:00
  167. levels_ll_price:
    138.27
  168. strategy_details
  169. demand_zone_top:
    146.54
  170. demand_zone_bottom:
    138.27
  171. demand_zone_mid:
    142.405
  172. demand_zone_freshness: weak
  173. demand_zone_strength:
    0.6732
  174. strategy_details
  175. supply_zone_top:
    160.2
  176. supply_zone_bottom:
    156.29
  177. supply_zone_mid:
    158.245
  178. supply_zone_freshness: weak
  179. supply_zone_strength:
    0.7719
  180. ¸
  181. regimes
  182. 1H : bear_high
  183. 15m : range_high
  184. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 69%

Trend

Trend Strength
0.153
Persistence
0.500
High Δ ATR
0.172
Low Δ ATR
-2.430

Current Swing

Amp ATR
4.481
Speed
0.299
Efficiency
0.299

Structure

Retracement
1.726
Extension
1.050
Compression
0.910
Entropy
1.000
Breakout Str.
-2.058
Dist High ATR
-2.230
Dist Low ATR
1.965
24 pivots · 23 swings · Last pivot: ↑ 158.0000 @ bar 147

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.323
Strength Score 0.489
Quality Score 0.376
Cleanliness Score 0.226
Structural Quality 0.498
Pullback Score 1.000
Exhaustion Score 0.298
Continuation Score 0.415
Structure Score 0.342
Volatility Expansion 0.817
Momentum Type Score 0.540
Risk Score 0.298
Features
Ema20 Slope
0.036
Ema50 Slope
0.009
Ema Alignment Score
0.000
Price Vs Ema20
-0.397
Price Vs Ema50
-0.506
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
17.000
Candle Overlap Ratio
1.000
Wick Ratio
0.549
Trend Efficiency
0.299
Impulse Strength
4.481
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.726
Pullback Depth Atr
4.597
Extension From Mean
-0.506
Impulse Decay Score
0.475
Opposing Wick Pressure
0.254
Volatility Percentile
0.960
Volatility Delta
0.062
Body Ratio
0.381
Closes Position Ratio
0.577
Slope Consistency
0.882
Range Position
0.298
Distance To Recent High
-4.144
Distance To Recent Low
1.758
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6855ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.073
avg 0.057 ± 0.018
OBI Top 10 0.582

Microstructure

Mid Price
147.4950
Micro Price
147.4271
Spread
0.1018%

↑ Bid Wall (Support)

Price
142.0000
Size
1,728.94

📌 Time Data

Start at Closed at Duration
08 Jul 2026
22:54:19
09 Jul 2026
06:40:00
7 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
148.96 158.4913 125.1317 2.5 151.67
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 148.96
  • Stop Loss: 158.4913
  • Take Profit: 125.1317

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 158.4913 - 148.96 = 9.5313

  • Récompense (distance jusqu'au take profit):

    E - TP = 148.96 - 125.1317 = 23.8283

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 23.8283 / 9.5313 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
125.0278 100 0.8393 1.25
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 9.5313

Taille de position = 8 / 9.5313 = 0.84

Taille de position USD = 0.84 x 148.96 = 125.13

Donc, tu peux acheter 0.84 avec un stoploss a 158.4913

Avec un position size USD de 125.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.84 x 9.5313 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.84 x 23.8283 = 20.02

Si Take Profit atteint, tu gagneras 20.02$

Résumé

  • Taille de position 0.84
  • Taille de position USD 125.13
  • Perte potentielle 8.01
  • Gain potentiel 20.02
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
16 % 20 $
SL % Target SL $ Target
6.4 % 8 $
PNL PNL %
-8 $ -6.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.532 % 102.08 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.45
            [max_drawdown] => 2.04
            [rr_ratio] => 1.69
            [high] => 151.00000000
            [low] => 145.51000000
            [mfe_pct] => 2.32
            [mae_pct] => 1.37
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 24
            [start_at] => 2026-07-08T22:54:19-04:00
            [end_at] => 2026-07-09T00:54:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.45
            [max_drawdown] => 8.22
            [rr_ratio] => 0.42
            [high] => 157.18000000
            [low] => 145.51000000
            [mfe_pct] => 2.32
            [mae_pct] => 5.52
            [mfe_mae_ratio] => 0.42
            [candles_analyzed] => 84
            [start_at] => 2026-07-08T22:54:19-04:00
            [end_at] => 2026-07-09T05:54:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 158.00000000
            [high_after] => 157.18000000
            [low_before] => 138.40000000
            [low_after] => 145.51000000
            [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 08/07/2026 22:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime