28 May 2026 at 18:14:37

Short Trade on PENGU (BosPullback)

With 46582.04 PENGU at 0.00775$ per unit. Take profit: 0.007324 (5.53 %) & Stop Loss: 0.007925 (2.22 %)

Short BosPullback on PENGU (28 May 2026 at 18:14:37 to 11:25:00 - 17 hours )

With 46582.0426 PENGU at 0.007753$ per unit.

Position size of 361.1506 $
Take profit at 0.007324 (5.53 %) and Stop Loss at 0.007925 (2.22 %)

That's a 2.49 RR Trade
Duration: 17 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 8.38
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 : range_low

Score : 1

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

28/05 18:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bear_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind compression bear_high
71%
26/05 20:00
1h ↓ down range range moderate balanced expansion bear_high
72%
26/05 21:00
15m ↓ down range range moderate fading compression bear_medium
67%
26/05 21:15
5m ↓ down range range moderate grind normal bear_low_confirmed
52%
26/05 21:15

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=8|retests=1|break_atr=0.38|prog=0.50|zone=tested
  4. stop_price: 0.00792474
  5. tp_price: 0.00732365
  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_down
  11. confidence : 0.599
  12. trend_strength : -0.2691
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.316
  15. low_delta_atr : -1.543
  16. current_swing_amp_atr : 2.7874
  17. current_swing_speed : 0.69684
  18. current_swing_efficiency : 0.516
  19. retracement_ratio : 0.9048
  20. extension_ratio : 1.6911
  21. compression_score : 0.6633
  22. swing_entropy : 1
  23. breakout_strength : -1.8219
  24. distance_to_last_high_atr : -1.5058
  25. distance_to_last_low_atr : 1.4965
  26. pivot_count : 23
  27. swing_count : 22
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.007915
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.567
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2291
  49. scores_strength_score:
    0.5273
  50. scores_quality_score:
    0.4121
  51. scores_cleanliness_score:
    0.2241
  52. scores_structural_quality:
    0.5658
  53. scores_pullback_score:
    0.9048
  54. scores_exhaustion_score:
    0.4443
  55. scores_continuation_score:
    0.3333
  56. scores_structure_score:
    0.2479
  57. scores_volatility_expansion:
    0.2606
  58. scores_momentum_type_score:
    0.6171
  59. scores_risk_score:
    0.0973
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1039
  62. features_ema50_slope:
    -0.1415
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.1083
  65. features_price_vs_ema50:
    -3.5217
  66. features_recent_hh_hl_score:
    0.3
  67. features_recent_lh_ll_score:
    0.7
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5518
  72. features_trend_efficiency:
    0.516
  73. features_impulse_strength:
    3.0034
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.9048
  76. features_pullback_depth_atr:
    2.7175
  77. features_extension_from_mean:
    -3.5217
  78. features_impulse_decay_score:
    0.1544
  79. features_opposing_wick_pressure:
    0.2976
  80. features_volatility_percentile:
    0.14
  81. features_volatility_delta:
    -0.0351
  82. features_body_ratio:
    0.4618
  83. features_closes_position_ratio:
    0.4671
  84. features_slope_consistency:
    0.8484
  85. features_range_position:
    0.0973
  86. features_distance_to_recent_high:
    -14.7114
  87. features_distance_to_recent_low:
    1.5854
  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 : -0.0731
  99. obi_top10 : 0.03
  100. micro_price : 0.00775846
  101. spread_pct : 0.01289
  102. mid_price : 0.0077585
  103. bid_wall_price : 0.00773
  104. bid_wall_size : 27136321
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.00777
  107. ask_wall_size : 33764753.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0708
  111. obi_top5_std : 0.0029
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6961
  115. aggregation_tick : 1.0E-5
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-23 07:00:00
        [price] => 0.008355
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-23 20:00:00
        [price] => 0.009357
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-23 22:00:00
        [price] => 0.008948
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-24 09:00:00
        [price] => 0.009247
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 0.008772
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-24 18:00:00
        [price] => 0.009076
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 0.008729
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 0.009147
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-26 02:00:00
        [price] => 0.008536
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 0.008734
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 0.008583
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 0.009019
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-27 04:00:00
        [price] => 0.008277
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 0.00854
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 0.008275
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 0.008538
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-28 05:00:00
        [price] => 0.007758
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-28 08:00:00
        [price] => 0.007949
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.007592
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 0.007915
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-27 21:15:00
        [price] => 0.008359
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-27 23:15:00
        [price] => 0.008084
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-28 00:00:00
        [price] => 0.008187
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-28 01:15:00
        [price] => 0.00803
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-28 02:15:00
        [price] => 0.008128
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 0.007788
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-28 04:30:00
        [price] => 0.007935
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-28 05:15:00
        [price] => 0.007758
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-28 08:00:00
        [price] => 0.007949
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-28 12:15:00
        [price] => 0.007765
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-28 13:00:00
        [price] => 0.007893
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.007592
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-28 14:15:00
        [price] => 0.007788
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-28 15:15:00
        [price] => 0.007646
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-28 18:15:00
        [price] => 0.007915
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 0.007706
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-28 20:30:00
        [price] => 0.007829
        [kind] => high
        [label] => LH
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 0.007758
  162. strategy_details
  163. levels_hl_price:
    0.007592
  164. levels_hl_timestamp: 2026-05-28 14:00:00
  165. levels_hh_price:
    0.007915
  166. levels_lh_price:
    0.007915
  167. levels_lh_timestamp: 2026-05-28 18:00:00
  168. levels_ll_price:
    0.007592
  169. demand_zone :
  170. strategy_details
  171. supply_zone_top:
    0.007949
  172. supply_zone_bottom:
    0.007758
  173. supply_zone_mid:
    0.0078535
  174. supply_zone_freshness: tested
  175. supply_zone_strength:
    0.8326
  176. ¸
  177. regimes
  178. 1H : bear_high
  179. 15m : bear_medium
  180. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 60%

Trend

Trend Strength
-0.269
Persistence
0.500
High Δ ATR
-0.316
Low Δ ATR
-1.543

Current Swing

Amp ATR
2.787
Speed
0.697
Efficiency
0.516

Structure

Retracement
0.905
Extension
1.691
Compression
0.663
Entropy
1.000
Breakout Str.
-1.822
Dist High ATR
-1.506
Dist Low ATR
1.497
23 pivots · 22 swings · Last pivot: ↑ 0.0079 @ bar 145

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 57%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.229
Strength Score 0.527
Quality Score 0.412
Cleanliness Score 0.224
Structural Quality 0.566
Pullback Score 0.905
Exhaustion Score 0.444
Continuation Score 0.333
Structure Score 0.248
Volatility Expansion 0.261
Momentum Type Score 0.617
Risk Score 0.097
Features
Ema20 Slope
-0.104
Ema50 Slope
-0.142
Ema Alignment Score
0.000
Price Vs Ema20
-1.108
Price Vs Ema50
-3.522
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.552
Trend Efficiency
0.516
Impulse Strength
3.003
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.905
Pullback Depth Atr
2.718
Extension From Mean
-3.522
Impulse Decay Score
0.154
Opposing Wick Pressure
0.298
Volatility Percentile
0.140
Volatility Delta
-0.035
Body Ratio
0.462
Closes Position Ratio
0.467
Slope Consistency
0.848
Range Position
0.097
Distance To Recent High
-14.711
Distance To Recent Low
1.585
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6961ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.073
avg -0.071 ± 0.003
OBI Top 10 0.030

Microstructure

Mid Price
0.0078
Micro Price
0.0078
Spread
0.0129%

↑ Bid Wall (Support)

Price
0.0077
Size
27,136,321.00

↓ Ask Wall (Resistance)

Price
0.0078
Size
33,764,753.60

📌 Time Data

Start at Closed at Duration
28 May 2026
18:14:37
29 May 2026
11:25:00
17 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.007753 0.007925 0.007324 2.49 0.006757
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 0.007753
  • Stop Loss: 0.007925
  • Take Profit: 0.007324

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.007925 - 0.007753 = 0.000172

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.007753 - 0.007324 = 0.000429

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000429 / 0.000172 = 2.4942

📌 Position Size

Amount Margin Quantity Leverage
361.1506 100 46582.0426 3.61
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 0.000172

Taille de position = 8 / 0.000172 = 46511.63

Taille de position USD = 46511.63 x 0.007753 = 360.6

Donc, tu peux acheter 46511.63 avec un stoploss a 0.007925

Avec un position size USD de 360.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 46511.63 x 0.000172 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 46511.63 x 0.000429 = 19.95

Si Take Profit atteint, tu gagneras 19.95$

Résumé

  • Taille de position 46511.63
  • Taille de position USD 360.6
  • Perte potentielle 8
  • Gain potentiel 19.95
  • Risk-Reward Ratio 2.4942

📌 Peformances

TP % Target TP $ Target
5.53 % 19.98 $
SL % Target SL $ Target
2.22 % 8.01 $
PNL PNL %
-8.01 $ -2.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.4757 % 201.74 % 22

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.8E-5
            [max_drawdown] => 1.3E-5
            [rr_ratio] => 6
            [high] => 0.00776600
            [low] => 0.00767500
            [mfe_pct] => 1.01
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 6
            [candles_analyzed] => 24
            [start_at] => 2026-05-28T18:14:37-04:00
            [end_at] => 2026-05-28T20:14:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000151
            [max_drawdown] => 3.8E-5
            [rr_ratio] => 3.97
            [high] => 0.00779100
            [low] => 0.00760200
            [mfe_pct] => 1.95
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 3.97
            [candles_analyzed] => 84
            [start_at] => 2026-05-28T18:14:37-04:00
            [end_at] => 2026-05-29T01:14:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00791500
            [high_after] => 0.00779100
            [low_before] => 0.00770600
            [low_after] => 0.00760200
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#80 / n/a OUT
seuil : top 15 · score du 28/05/2026 18:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime