17 Aug 2026 at 18:12:20

Long Trade on SKHY (BosPullback)

With 2.45 SKHY at 172.83$ per unit. Take profit: 180.9844 (4.72 %) & Stop Loss: 169.5682 (1.89 %)

Long BosPullback on SKHY (17 Aug 2026 at 18:12:20 to 22:20:00 - 4 hours )

With 2.4527 SKHY at 172.83$ per unit.

Position size of 423.8951 $
Take profit at 180.9844 (4.72 %) and Stop Loss at 169.5682 (1.89 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.79
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 : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

Score : 2

ml_regime : bear_high

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

17/08 18:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate fading compression bull_high
76%
17/08 20:00
1h ↑ up transition bullish_transition moderate balanced volatile_reversal bull_high
65%
17/08 22:00
15m ↓ down range range moderate grind compression range_medium
46%
17/08 22:00
5m ↔ neutral range range moderate grind compression range_low
46%
17/08 22:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=6|retests=1|break_atr=2.04|prog=0.36|zone=invalid
  4. stop_price: 169.56824994
  5. tp_price: 180.98437515
  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 : 0.634
  12. trend_strength : 0.183
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.4851
  15. low_delta_atr : -0.8807
  16. current_swing_amp_atr : 4.3092
  17. current_swing_speed : 1.43639
  18. current_swing_efficiency : 0.7124
  19. retracement_ratio : 1.2243
  20. extension_ratio : 3.3346
  21. compression_score : 0.8387
  22. swing_entropy : 1
  23. breakout_strength : -0.8471
  24. distance_to_last_high_atr : -3.0797
  25. distance_to_last_low_atr : 1.7278
  26. pivot_count : 20
  27. swing_count : 19
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    169.75
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.529
  46. state : up_range_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6395
  49. scores_strength_score:
    0.6679
  50. scores_quality_score:
    0.3782
  51. scores_cleanliness_score:
    0.2616
  52. scores_structural_quality:
    0.4735
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1666
  55. scores_continuation_score:
    0.5808
  56. scores_structure_score:
    0.4894
  57. scores_volatility_expansion:
    0.892
  58. scores_momentum_type_score:
    0.7322
  59. scores_risk_score:
    0.7982
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0277
  62. features_ema50_slope:
    0.0375
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.153
  65. features_price_vs_ema50:
    1.2245
  66. features_recent_hh_hl_score:
    0.7059
  67. features_recent_lh_ll_score:
    0.2941
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4767
  72. features_trend_efficiency:
    0.7124
  73. features_impulse_strength:
    4.3092
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.2243
  76. features_pullback_depth_atr:
    4.9335
  77. features_extension_from_mean:
    1.2245
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2379
  80. features_volatility_percentile:
    0.82
  81. features_volatility_delta:
    1.2294
  82. features_body_ratio:
    0.6559
  83. features_closes_position_ratio:
    0.538
  84. features_slope_consistency:
    0.656
  85. features_range_position:
    0.7982
  86. features_distance_to_recent_high:
    -2.7742
  87. features_distance_to_recent_low:
    10.9706
  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 : -0.0426
  99. obi_top10 : -0.0426
  100. micro_price : 172.7914881
  101. spread_pct : 0.005787
  102. mid_price : 172.795
  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 : -0.057
  111. obi_top5_std : 0.0144
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6949
  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] => 2026-08-12 03:00:00
        [price] => 147.26
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-08-12 05:00:00
        [price] => 143.93
        [kind] => low
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-08-12 14:00:00
        [price] => 154.69
        [kind] => high
        [label] => 
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-08-12 16:00:00
        [price] => 151.4
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-08-13 00:00:00
        [price] => 157.94
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-08-13 09:00:00
        [price] => 151.12
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-08-13 17:00:00
        [price] => 168.43
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-08-13 19:00:00
        [price] => 164.55
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-08-13 22:00:00
        [price] => 168.62
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-08-14 01:00:00
        [price] => 162.78
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-08-14 11:00:00
        [price] => 170.88
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-08-14 15:00:00
        [price] => 163.88
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-16 03:00:00
        [price] => 169.03
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-16 12:00:00
        [price] => 166.69
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-16 17:00:00
        [price] => 168.17
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-16 23:00:00
        [price] => 166.69
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-17 08:00:00
        [price] => 173.89
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-17 13:00:00
        [price] => 171.32
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-17 16:00:00
        [price] => 178.32
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-17 19:00:00
        [price] => 169.75
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-16 22:00:00
        [price] => 167.84
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-16 23:00:00
        [price] => 166.69
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-17 00:00:00
        [price] => 168.63
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-17 00:30:00
        [price] => 167.3
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-17 01:00:00
        [price] => 168.66
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-17 01:45:00
        [price] => 167.65
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-17 06:00:00
        [price] => 173.76
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-17 07:15:00
        [price] => 172.38
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-17 08:45:00
        [price] => 173.89
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-17 10:00:00
        [price] => 172.72
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-17 10:15:00
        [price] => 173.78
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-17 12:00:00
        [price] => 171.66
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-17 12:15:00
        [price] => 172.83
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-17 13:15:00
        [price] => 171.32
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-17 13:30:00
        [price] => 174.3
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-17 15:00:00
        [price] => 177.99
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-17 15:45:00
        [price] => 174.98
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-17 16:15:00
        [price] => 178.32
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-17 19:15:00
        [price] => 169.75
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 173.89
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    169.75
  166. levels_hl_timestamp: 2026-08-17 19:00:00
  167. levels_hh_price:
    178.32
  168. levels_lh_price:
    178.32
  169. levels_lh_timestamp: 2026-08-17 16:00:00
  170. levels_ll_price:
    169.75
  171. demand_zone :
  172. strategy_details
  173. supply_zone_top:
    178.32
  174. supply_zone_bottom:
    174.98
  175. supply_zone_mid:
    176.65
  176. supply_zone_freshness: tested
  177. supply_zone_strength:
    0.877
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : range_medium
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 63%

Trend

Trend Strength
0.183
Persistence
0.500
High Δ ATR
2.485
Low Δ ATR
-0.881

Current Swing

Amp ATR
4.309
Speed
1.436
Efficiency
0.712

Structure

Retracement
1.224
Extension
3.335
Compression
0.839
Entropy
1.000
Breakout Str.
-0.847
Dist High ATR
-3.080
Dist Low ATR
1.728
20 pivots · 19 swings · Last pivot: ↓ 169.7500 @ bar 146

Trend Analyzer 1H

1H ↑ up up_range_explosive
Confidence 53%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum explosive
volatility volatile_reversal
risk premium
htf unknown
Scores
Direction Score 0.640
Strength Score 0.668
Quality Score 0.378
Cleanliness Score 0.262
Structural Quality 0.474
Pullback Score 1.000
Exhaustion Score 0.167
Continuation Score 0.581
Structure Score 0.489
Volatility Expansion 0.892
Momentum Type Score 0.732
Risk Score 0.798
Features
Ema20 Slope
-0.028
Ema50 Slope
0.038
Ema Alignment Score
1.000
Price Vs Ema20
0.153
Price Vs Ema50
1.225
Recent Hh Hl Score
0.706
Recent Lh Ll Score
0.294
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.477
Trend Efficiency
0.712
Impulse Strength
4.309
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.224
Pullback Depth Atr
4.934
Extension From Mean
1.225
Impulse Decay Score
0.000
Opposing Wick Pressure
0.238
Volatility Percentile
0.820
Volatility Delta
1.229
Body Ratio
0.656
Closes Position Ratio
0.538
Slope Consistency
0.656
Range Position
0.798
Distance To Recent High
-2.774
Distance To Recent Low
10.971
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6949ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 -0.043
avg -0.057 ± 0.014
OBI Top 10 -0.043

Microstructure

Mid Price
172.7950
Micro Price
172.7915
Spread
0.0058%

📌 Time Data

Start at Closed at Duration
17 Aug 2026
18:12:20
17 Aug 2026
22:20:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
172.83 169.5682 180.9844 2.5 179.5
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 172.83
  • Stop Loss: 169.5682
  • Take Profit: 180.9844

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 169.5682 - 172.83 = -3.2618

  • Récompense (distance jusqu'au take profit):

    E - TP = 172.83 - 180.9844 = -8.1544

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -8.1544 / -3.2618 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
423.8951 100 2.4527 4.24
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 -3.2618

Taille de position = 8 / -3.2618 = -2.45

Taille de position USD = -2.45 x 172.83 = -423.43

Donc, tu peux acheter -2.45 avec un stoploss a 169.5682

Avec un position size USD de -423.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2.45 x -3.2618 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2.45 x -8.1544 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position -2.45
  • Taille de position USD -423.43
  • Perte potentielle 7.99
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
4.72 % 20 $
SL % Target SL $ Target
1.89 % 8 $
PNL PNL %
-8 $ -1.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.921 % 101.79 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 180.9844
            [entry_price] => 172.83
            [stop_loss] => 169.24202
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-18 02:25:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 180.9844
            [entry_price] => 172.83
            [stop_loss] => 168.91584
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-18 02:30:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 180.9844
            [entry_price] => 172.83
            [stop_loss] => 168.58966
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-18 02:30:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 180.9844
            [entry_price] => 172.83
            [stop_loss] => 167.9373
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-18 02:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.94
            [max_drawdown] => 1.77
            [rr_ratio] => 0.53
            [high] => 173.77000000
            [low] => 171.06000000
            [mfe_pct] => 0.54
            [mae_pct] => 1.02
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2026-08-17T18:12:20-04:00
            [end_at] => 2026-08-17T20:12:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.04
            [max_drawdown] => 6.58
            [rr_ratio] => 0.61
            [high] => 176.87000000
            [low] => 166.25000000
            [mfe_pct] => 2.34
            [mae_pct] => 3.81
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 84
            [start_at] => 2026-08-17T18:12:20-04:00
            [end_at] => 2026-08-18T01:12:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 174.06000000
            [high_after] => 176.87000000
            [low_before] => 169.75000000
            [low_after] => 166.25000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#7 / n/a OK
seuil : top 15 · score du 17/08/2026 18:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime