21 May 2026 at 13:55:21

Long Trade on HYPE (BosPullback)

With 2.74 HYPE at 59.427$ per unit. Take profit: 66.7149 (12.26 %) & Stop Loss: 56.5119 (4.91 %)

Long BosPullback on HYPE (21 May 2026 at 13:55:21 to 16:50:00 - 2 hours )

With 2.7443 HYPE at 59.427$ per unit.

Position size of 163.0849 $
Take profit at 66.7149 (12.26 %) and Stop Loss at 56.5119 (4.91 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.02
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 : range

rules_regime : range_medium

rules_regime_5m : bull_low

Score : 1

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bear_medium

tf_aligned :

21/05 13:02

BTC Correlation Coin Market Regime

1H_regime : bull_high_confirmed

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range moderate balanced volatile_reversal bull_high_confirmed
71%
21/05 12:00
1h ↑ up transition bullish_transition strong explosive expansion_after_compression bull_high_confirmed
87%
21/05 13:00
15m ↔ neutral range range moderate balanced volatile_reversal bull_high
60%
21/05 13:45
5m ↓ down transition bearish_transition moderate balanced compression range_high
49%
21/05 13:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=2|retests=1|break_atr=1.21|prog=0.39|zone=tested
  4. stop_price: 56.51185625
  5. tp_price: 66.71485938
  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_up
  11. confidence : 0.97
  12. trend_strength : 0.3925
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.2147
  15. low_delta_atr : 0.8814
  16. current_swing_amp_atr : 4.0979
  17. current_swing_speed : 1.02448
  18. current_swing_efficiency : 0.5994
  19. retracement_ratio : 2.3315
  20. extension_ratio : 1.5239
  21. compression_score : 1.1861
  22. swing_entropy : 1
  23. breakout_strength : -0.1614
  24. distance_to_last_high_atr : -2.3761
  25. distance_to_last_low_atr : 1.5018
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    62.663
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : explosive
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.687
  46. state : up_early_expansion_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.8112
  49. scores_strength_score:
    0.6786
  50. scores_quality_score:
    0.3857
  51. scores_cleanliness_score:
    0.2409
  52. scores_structural_quality:
    0.5042
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.426
  55. scores_continuation_score:
    0.5717
  56. scores_structure_score:
    0.7937
  57. scores_volatility_expansion:
    0.976
  58. scores_momentum_type_score:
    0.7364
  59. scores_risk_score:
    0.8327
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1821
  62. features_ema50_slope:
    0.1483
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.9902
  65. features_price_vs_ema50:
    2.9153
  66. features_recent_hh_hl_score:
    0.75
  67. features_recent_lh_ll_score:
    0.25
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5181
  72. features_trend_efficiency:
    0.5994
  73. features_impulse_strength:
    4.0979
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    2.3315
  76. features_pullback_depth_atr:
    5.0836
  77. features_extension_from_mean:
    2.9153
  78. features_impulse_decay_score:
    0.238
  79. features_opposing_wick_pressure:
    0.3028
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.6523
  82. features_body_ratio:
    0.5985
  83. features_closes_position_ratio:
    0.5353
  84. features_slope_consistency:
    0.956
  85. features_range_position:
    0.8327
  86. features_distance_to_recent_high:
    -2.0372
  87. features_distance_to_recent_low:
    10.1364
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.0191
  99. obi_top10 : -0.0191
  100. micro_price : 59.01028212
  101. spread_pct : 0.001695
  102. mid_price : 59.0105
  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 : 0.0092
  111. obi_top5_std : 0.0227
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6980
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 42.481
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 47.245
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 44.605
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 46.96
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 05:00:00
        [price] => 44.782
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 46.252
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 44.204
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 48.529
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 46.827
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-19 07:00:00
        [price] => 48.726
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-19 08:00:00
        [price] => 47.253
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 48.914
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 47.068
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-20 16:00:00
        [price] => 53.22
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-20 17:00:00
        [price] => 51.7
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-20 21:00:00
        [price] => 57.143
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-20 22:00:00
        [price] => 55.352
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-21 05:00:00
        [price] => 59.261
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-21 07:00:00
        [price] => 56.706
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-21 11:00:00
        [price] => 62.663
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-20 13:45:00
        [price] => 52.394
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-20 14:45:00
        [price] => 51.376
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-20 16:00:00
        [price] => 53.22
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-20 16:45:00
        [price] => 51.662
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-20 18:30:00
        [price] => 54.534
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-20 18:45:00
        [price] => 53.562
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-20 21:15:00
        [price] => 57.143
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-20 22:15:00
        [price] => 55.352
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-20 23:45:00
        [price] => 56.86
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-21 01:15:00
        [price] => 55.725
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-21 02:15:00
        [price] => 56.88
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-21 02:45:00
        [price] => 56.042
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-21 05:30:00
        [price] => 59.261
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-21 06:15:00
        [price] => 57.21
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-21 06:30:00
        [price] => 58.614
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-21 07:30:00
        [price] => 56.706
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-21 10:30:00
        [price] => 62.195
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-21 10:45:00
        [price] => 60.225
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-21 12:45:00
        [price] => 58.623
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 59.261
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    56.706
  166. levels_hl_timestamp: 2026-05-21 07:00:00
  167. levels_hh_price:
    62.663
  168. levels_lh_price:
    62.663
  169. levels_lh_timestamp: 2026-05-21 11:00:00
  170. levels_ll_price:
    56.706
  171. strategy_details
  172. demand_zone_top:
    58.614
  173. demand_zone_bottom:
    56.706
  174. demand_zone_mid:
    57.66
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8874
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high_confirmed
  181. 15m : bull_high
  182. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 13:55 59.42700000 0%
2 13:58 59.42700000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 97%

Trend

Trend Strength
0.393
Persistence
0.500
High Δ ATR
2.215
Low Δ ATR
0.881

Current Swing

Amp ATR
4.098
Speed
1.024
Efficiency
0.599

Structure

Retracement
2.332
Extension
1.524
Compression
1.186
Entropy
1.000
Breakout Str.
-0.161
Dist High ATR
-2.376
Dist Low ATR
1.502
27 pivots · 26 swings · Last pivot: ↑ 62.6630 @ bar 147

Trend Analyzer 1H

1H ↑ up up_early_expansion_explosive
Confidence 69%

Context

phase early_expansion
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.811
Strength Score 0.679
Quality Score 0.386
Cleanliness Score 0.241
Structural Quality 0.504
Pullback Score 1.000
Exhaustion Score 0.426
Continuation Score 0.572
Structure Score 0.794
Volatility Expansion 0.976
Momentum Type Score 0.736
Risk Score 0.833
Features
Ema20 Slope
0.182
Ema50 Slope
0.148
Ema Alignment Score
1.000
Price Vs Ema20
0.990
Price Vs Ema50
2.915
Recent Hh Hl Score
0.750
Recent Lh Ll Score
0.250
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.518
Trend Efficiency
0.599
Impulse Strength
4.098
Directional Candle Ratio
0.700
Pullback Depth Ratio
2.332
Pullback Depth Atr
5.084
Extension From Mean
2.915
Impulse Decay Score
0.238
Opposing Wick Pressure
0.303
Volatility Percentile
0.960
Volatility Delta
0.652
Body Ratio
0.599
Closes Position Ratio
0.535
Slope Consistency
0.956
Range Position
0.833
Distance To Recent High
-2.037
Distance To Recent Low
10.136
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6980ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.019
avg 0.009 ± 0.023
OBI Top 10 -0.019

Microstructure

Mid Price
59.0105
Micro Price
59.0103
Spread
0.0017%

📌 Time Data

Start at Closed at Duration
21 May 2026
13:55:21
21 May 2026
16:50:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
59.427 56.5119 66.7149 2.5 56.053
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 59.427
  • Stop Loss: 56.5119
  • Take Profit: 66.7149

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 56.5119 - 59.427 = -2.9151

  • Récompense (distance jusqu'au take profit):

    E - TP = 59.427 - 66.7149 = -7.2879

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -7.2879 / -2.9151 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
163.0849 100 2.7443 1.63
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 -2.9151

Taille de position = 8 / -2.9151 = -2.74

Taille de position USD = -2.74 x 59.427 = -162.83

Donc, tu peux acheter -2.74 avec un stoploss a 56.5119

Avec un position size USD de -162.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2.74 x -2.9151 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2.74 x -7.2879 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position -2.74
  • Taille de position USD -162.83
  • Perte potentielle 7.99
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
12.26 % 20 $
SL % Target SL $ Target
4.91 % 8 $
PNL PNL %
-8 $ -4.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.3292 % 108.64 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.042999999999999
            [max_drawdown] => 2.146
            [rr_ratio] => 0.02
            [high] => 59.47000000
            [low] => 57.28100000
            [mfe_pct] => 0.07
            [mae_pct] => 3.61
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2026-05-21T13:55:21-04:00
            [end_at] => 2026-05-21T15:55:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.042999999999999
            [max_drawdown] => 3.167
            [rr_ratio] => 0.01
            [high] => 59.47000000
            [low] => 56.26000000
            [mfe_pct] => 0.07
            [mae_pct] => 5.33
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2026-05-21T13:55:21-04:00
            [end_at] => 2026-05-21T20:55:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 62.66300000
            [high_after] => 59.47000000
            [low_before] => 58.62300000
            [low_after] => 56.26000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#2 / n/a OK
seuil : top 15 · score du 21/05/2026 13:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime