09 Jun 2026 at 04:44:34

Long Trade on HYPE (BosPullback)

With 4.48 HYPE at 62.5$ per unit. Take profit: 66.9602 (7.14 %) & Stop Loss: 60.7159 (2.85 %)

Long BosPullback on HYPE (09 Jun 2026 at 04:44:34 to 09:20:00 - 4 hours )

With 4.4841 HYPE at 62.5$ per unit.

Position size of 280.2578 $
Take profit at 66.9602 (7.14 %) and Stop Loss at 60.7159 (2.85 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.51
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_high

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

09/06 04:03

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral transition bearish_transition moderate fading compression range_high
50%
09/06 08:00
1h ↔ neutral transition bullish_transition moderate balanced compression range_high
47%
09/06 08:00
15m ↔ neutral range range moderate grind normal range_high
47%
09/06 08:30
5m ↔ neutral transition bearish_transition strong balanced normal range_medium
46%
09/06 08:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=17|retests=1|break_atr=1.11|prog=0.34|zone=weak
  4. stop_price: 60.71592838
  5. tp_price: 66.96017904
  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 : 0.671
  12. trend_strength : 0.1646
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.9098
  15. low_delta_atr : -0.1373
  16. current_swing_amp_atr : 3.846
  17. current_swing_speed : 0.29585
  18. current_swing_efficiency : 0.2882
  19. retracement_ratio : 1.0354
  20. extension_ratio : 2.0403
  21. compression_score : 0.9862
  22. swing_entropy : 1
  23. breakout_strength : -1.2087
  24. distance_to_last_high_atr : -2.669
  25. distance_to_last_low_atr : 1.346
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    60.833
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : fading
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.499
  46. state : up_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6837
  49. scores_strength_score:
    0.511
  50. scores_quality_score:
    0.3337
  51. scores_cleanliness_score:
    0.2057
  52. scores_structural_quality:
    0.4383
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1153
  55. scores_continuation_score:
    0.6139
  56. scores_structure_score:
    0.6338
  57. scores_volatility_expansion:
    0.3793
  58. scores_momentum_type_score:
    0.4157
  59. scores_risk_score:
    0.5225
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0402
  62. features_ema50_slope:
    0.0117
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.009
  65. features_price_vs_ema50:
    0.5972
  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:
    17
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5885
  72. features_trend_efficiency:
    0.2882
  73. features_impulse_strength:
    3.846
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.0354
  76. features_pullback_depth_atr:
    3.6405
  77. features_extension_from_mean:
    0.5972
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.252
  80. features_volatility_percentile:
    0.4
  81. features_volatility_delta:
    -0.0911
  82. features_body_ratio:
    0.4152
  83. features_closes_position_ratio:
    0.5675
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.5225
  86. features_distance_to_recent_high:
    -5.4046
  87. features_distance_to_recent_low:
    5.9129
  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 : 0.1106
  99. obi_top10 : 0.1106
  100. micro_price : 62.45160976
  101. spread_pct : 0.001601
  102. mid_price : 62.4515
  103. bid_wall_price : 62.4
  104. bid_wall_size : 25158.316
  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 : 0.1203
  111. obi_top5_std : 0.0133
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7138
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 75.057
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-04 10:00:00
        [price] => 64.783
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-04 16:00:00
        [price] => 68.902
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-05 07:00:00
        [price] => 58.908
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-05 14:00:00
        [price] => 63.453
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-05 18:00:00
        [price] => 56.636
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-06 01:00:00
        [price] => 61.18
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-06 04:00:00
        [price] => 57.36
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-06 08:00:00
        [price] => 60.985
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-06 20:00:00
        [price] => 55.454
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-07 09:00:00
        [price] => 60.432
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 56.62
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-07 18:00:00
        [price] => 59.46
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-07 19:00:00
        [price] => 56.84
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-08 00:00:00
        [price] => 61.926
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-08 01:00:00
        [price] => 59.278
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-08 07:00:00
        [price] => 63.409
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-08 09:00:00
        [price] => 61.001
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-08 15:00:00
        [price] => 65.746
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-09 04:00:00
        [price] => 60.833
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-08 07:45:00
        [price] => 63.29
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-08 09:30:00
        [price] => 61.001
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-08 11:30:00
        [price] => 62.399
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-08 12:15:00
        [price] => 61.251
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-08 15:45:00
        [price] => 65.746
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-08 17:00:00
        [price] => 63.293
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-08 18:45:00
        [price] => 64.699
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-08 20:15:00
        [price] => 63.209
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-08 21:45:00
        [price] => 64.505
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-08 22:15:00
        [price] => 62.75
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-09 00:00:00
        [price] => 64.005
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-09 01:15:00
        [price] => 61.888
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-09 01:45:00
        [price] => 62.924
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-09 02:45:00
        [price] => 61.449
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-09 03:15:00
        [price] => 62.76
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-09 04:30:00
        [price] => 60.833
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-09 05:30:00
        [price] => 62.573
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-09 06:45:00
        [price] => 61.429
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 63.409
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    60.833
  165. levels_hl_timestamp: 2026-06-09 04:00:00
  166. levels_hh_price:
    65.746
  167. levels_lh_price:
    65.746
  168. levels_lh_timestamp: 2026-06-08 15:00:00
  169. levels_ll_price:
    60.833
  170. strategy_details
  171. demand_zone_top:
    63.409
  172. demand_zone_bottom:
    61.001
  173. demand_zone_mid:
    62.205
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.8322
  176. strategy_details
  177. supply_zone_top:
    65.746
  178. supply_zone_bottom:
    64.11
  179. supply_zone_mid:
    64.928
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.7154
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : range_high
  186. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 04:44 62.50000000 0%
2 05:23 62.78500000 +0.456%
3 05:28 62.78500000 +0.456%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 67%

Trend

Trend Strength
0.165
Persistence
0.500
High Δ ATR
1.910
Low Δ ATR
-0.137

Current Swing

Amp ATR
3.846
Speed
0.296
Efficiency
0.288

Structure

Retracement
1.035
Extension
2.040
Compression
0.986
Entropy
1.000
Breakout Str.
-1.209
Dist High ATR
-2.669
Dist Low ATR
1.346
26 pivots · 25 swings · Last pivot: ↓ 60.8330 @ bar 145

Trend Analyzer 1H

1H ↑ up up_range_fading
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum fading
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.684
Strength Score 0.511
Quality Score 0.334
Cleanliness Score 0.206
Structural Quality 0.438
Pullback Score 1.000
Exhaustion Score 0.115
Continuation Score 0.614
Structure Score 0.634
Volatility Expansion 0.379
Momentum Type Score 0.416
Risk Score 0.523
Features
Ema20 Slope
-0.040
Ema50 Slope
0.012
Ema Alignment Score
1.000
Price Vs Ema20
0.009
Price Vs Ema50
0.597
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
17.000
Candle Overlap Ratio
1.000
Wick Ratio
0.589
Trend Efficiency
0.288
Impulse Strength
3.846
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.035
Pullback Depth Atr
3.641
Extension From Mean
0.597
Impulse Decay Score
0.000
Opposing Wick Pressure
0.252
Volatility Percentile
0.400
Volatility Delta
-0.091
Body Ratio
0.415
Closes Position Ratio
0.568
Slope Consistency
0.000
Range Position
0.523
Distance To Recent High
-5.405
Distance To Recent Low
5.913
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7138ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.111
avg 0.120 ± 0.013
OBI Top 10 0.111

Microstructure

Mid Price
62.4515
Micro Price
62.4516
Spread
0.0016%

↑ Bid Wall (Support)

Price
62.4000
Size
25,158.32

📌 Time Data

Start at Closed at Duration
09 Jun 2026
04:44:34
09 Jun 2026
09:20:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
62.5 60.7159 66.9602 2.5 59.765
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 62.5
  • Stop Loss: 60.7159
  • Take Profit: 66.9602

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 60.7159 - 62.5 = -1.7841

  • Récompense (distance jusqu'au take profit):

    E - TP = 62.5 - 66.9602 = -4.4602

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -4.4602 / -1.7841 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
280.2578 100 4.4841 2.80
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 -1.7841

Taille de position = 8 / -1.7841 = -4.48

Taille de position USD = -4.48 x 62.5 = -280

Donc, tu peux acheter -4.48 avec un stoploss a 60.7159

Avec un position size USD de -280$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.48 x -1.7841 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.48 x -4.4602 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position -4.48
  • Taille de position USD -280
  • Perte potentielle 7.99
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
7.14 % 20 $
SL % Target SL $ Target
2.85 % 8 $
PNL PNL %
-8 $ -2.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.968 % 103.97 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 66.9602
            [entry_price] => 62.5
            [stop_loss] => 60.53749
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-09 14:00:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 66.9602
            [entry_price] => 62.5
            [stop_loss] => 60.35908
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-09 14:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 66.9602
            [entry_price] => 62.5
            [stop_loss] => 60.18067
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-09 14:05:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 66.9602
            [entry_price] => 62.5
            [stop_loss] => 59.82385
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-06-09 14:10:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.396
            [max_drawdown] => 0.72
            [rr_ratio] => 0.55
            [high] => 62.89600000
            [low] => 61.78000000
            [mfe_pct] => 0.63
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 24
            [start_at] => 2026-06-09T04:44:34-04:00
            [end_at] => 2026-06-09T06:44:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.396
            [max_drawdown] => 3.758
            [rr_ratio] => 0.11
            [high] => 62.89600000
            [low] => 58.74200000
            [mfe_pct] => 0.63
            [mae_pct] => 6.01
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2026-06-09T04:44:34-04:00
            [end_at] => 2026-06-09T11:44:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 62.71500000
            [high_after] => 62.89600000
            [low_before] => 61.18500000
            [low_after] => 59.32800000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#73 / n/a OUT
seuil : top 15 · score du 09/06/2026 04:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime