28 May 2026 at 16:06:25

Short Trade on PENGU (BosPullback)

With 40918.62 PENGU at 0.00773$ per unit. Take profit: 0.007241 (6.33 %) & Stop Loss: 0.007926 (2.54 %)

Short BosPullback on PENGU (28 May 2026 at 16:06:25 open - 2 hours )

With 40918.6231 PENGU at 0.00773$ per unit.

Position size of 316.301 $
Take profit at 0.007241 (6.33 %) and Stop Loss at 0.007926 (2.54 %)

That's a 2.49 RR Trade
Duration: 2 hours

Results

Status:
open
Trade Type:
sell
ML Trade Score: 0
ML Pullback Score:
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 : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 2

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

28/05 16:01

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=6|retests=1|break_atr=0.37|prog=0.57|zone=tested
  4. stop_price: 0.00792551
  5. tp_price: 0.00724122
  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 : 0.59
  12. trend_strength : -0.2691
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.31
  15. low_delta_atr : -1.5135
  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 : -1.9967
  24. distance_to_last_high_atr : -1.6867
  25. distance_to_last_low_atr : 1.2582
  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:
    147
  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 : normal
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.547
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2266
  49. scores_strength_score:
    0.5448
  50. scores_quality_score:
    0.4233
  51. scores_cleanliness_score:
    0.2389
  52. scores_structural_quality:
    0.5742
  53. scores_pullback_score:
    0.9048
  54. scores_exhaustion_score:
    0.4773
  55. scores_continuation_score:
    0.3224
  56. scores_structure_score:
    0.2479
  57. scores_volatility_expansion:
    0.2977
  58. scores_momentum_type_score:
    0.6352
  59. scores_risk_score:
    0.0793
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1203
  62. features_ema50_slope:
    -0.1479
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.4495
  65. features_price_vs_ema50:
    -3.8808
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5221
  72. features_trend_efficiency:
    0.516
  73. features_impulse_strength:
    3.0034
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.9048
  76. features_pullback_depth_atr:
    2.7175
  77. features_extension_from_mean:
    -3.8808
  78. features_impulse_decay_score:
    0.1544
  79. features_opposing_wick_pressure:
    0.304
  80. features_volatility_percentile:
    0.24
  81. features_volatility_delta:
    -0.0695
  82. features_body_ratio:
    0.4806
  83. features_closes_position_ratio:
    0.4743
  84. features_slope_consistency:
    0.9053
  85. features_range_position:
    0.0793
  86. features_distance_to_recent_high:
    -15.2801
  87. features_distance_to_recent_low:
    1.3154
  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 : 0.1184
  99. obi_top10 : 0.1108
  100. micro_price : 0.00772423
  101. spread_pct : 0.012947
  102. mid_price : 0.0077245
  103. bid_wall_price : 0.0077
  104. bid_wall_size : 24188284.8
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.00775
  107. ask_wall_size : 22661198.2
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0876
  111. obi_top5_std : 0.0209
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7183
  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 19:15:00
        [price] => 0.008417
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-27 21:45:00
        [price] => 0.008133
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-27 22:00:00
        [price] => 0.008221
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-27 23:15:00
        [price] => 0.008084
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-28 00:00:00
        [price] => 0.008187
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-28 01:15:00
        [price] => 0.00803
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-28 02:15:00
        [price] => 0.008128
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 0.007788
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-28 04:30:00
        [price] => 0.007935
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-28 05:15:00
        [price] => 0.007758
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-28 08:00:00
        [price] => 0.007949
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-28 12:15:00
        [price] => 0.007765
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-28 13:00:00
        [price] => 0.007893
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.007592
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-28 14:15:00
        [price] => 0.007788
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-28 15:15:00
        [price] => 0.007646
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-28 18:15:00
        [price] => 0.007915
        [kind] => high
        [label] => HH
    )
    
  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 59%

Trend

Trend Strength
-0.269
Persistence
0.500
High Δ ATR
-0.310
Low Δ ATR
-1.514

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.
-1.997
Dist High ATR
-1.687
Dist Low ATR
1.258
23 pivots · 22 swings · Last pivot: ↑ 0.0079 @ bar 147

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 55%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk approaching_support
htf unknown
Scores
Direction Score 0.227
Strength Score 0.545
Quality Score 0.423
Cleanliness Score 0.239
Structural Quality 0.574
Pullback Score 0.905
Exhaustion Score 0.477
Continuation Score 0.322
Structure Score 0.248
Volatility Expansion 0.298
Momentum Type Score 0.635
Risk Score 0.079
Features
Ema20 Slope
-0.120
Ema50 Slope
-0.148
Ema Alignment Score
0.000
Price Vs Ema20
-1.450
Price Vs Ema50
-3.881
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
-1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.522
Trend Efficiency
0.516
Impulse Strength
3.003
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.905
Pullback Depth Atr
2.718
Extension From Mean
-3.881
Impulse Decay Score
0.154
Opposing Wick Pressure
0.304
Volatility Percentile
0.240
Volatility Delta
-0.070
Body Ratio
0.481
Closes Position Ratio
0.474
Slope Consistency
0.905
Range Position
0.079
Distance To Recent High
-15.280
Distance To Recent Low
1.315
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7183ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 0.118
avg 0.088 ± 0.021
OBI Top 10 0.111

Microstructure

Mid Price
0.0077
Micro Price
0.0077
Spread
0.0129%

↑ Bid Wall (Support)

Price
0.0077
Size
24,188,284.80

↓ Ask Wall (Resistance)

Price
0.0078
Size
22,661,198.20

📌 Time Data

Start at Closed at Duration
28 May 2026
16:06:25

2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.00773 0.007926 0.007241 2.49 0.007721
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 0.00773
  • Stop Loss: 0.007926
  • Take Profit: 0.007241

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.007926 - 0.00773 = 0.000196

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.00773 - 0.007241 = 0.000489

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000489 / 0.000196 = 2.4949

📌 Position Size

Amount Margin Quantity Leverage
316.301 100 40918.6231 3.16
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 0.000196

Taille de position = 8 / 0.000196 = 40816.33

Taille de position USD = 40816.33 x 0.00773 = 315.51

Donc, tu peux acheter 40816.33 avec un stoploss a 0.007926

Avec un position size USD de 315.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 40816.33 x 0.000196 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 40816.33 x 0.000489 = 19.96

Si Take Profit atteint, tu gagneras 19.96$

Résumé

  • Taille de position 40816.33
  • Taille de position USD 315.51
  • Perte potentielle 8
  • Gain potentiel 19.96
  • Risk-Reward Ratio 2.4949

📌 Peformances

TP % Target TP $ Target
6.33 % 20.01 $
SL % Target SL $ Target
2.54 % 8.02 $
PNL PNL %
0 $ 0.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)

V2 Shadow Analysis

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

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