28 May 2026 at 15:08:59

Short Trade on PENGU (BosPullback)

With 53479.51 PENGU at 0.00781$ per unit. Take profit: 0.007436 (4.79 %) & Stop Loss: 0.00796 (1.92 %)

Short BosPullback on PENGU (28 May 2026 at 15:08:59 open - 3 hours )

With 53479.5107 PENGU at 0.00781$ per unit.

Position size of 417.675 $
Take profit at 0.007436 (4.79 %) and Stop Loss at 0.00796 (1.92 %)

That's a 2.49 RR Trade
Duration: 3 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 : 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 15:01

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: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=5|retests=1|break_atr=0.37|prog=0.39|zone=tested
  4. stop_price: 0.00795959
  5. tp_price: 0.00743603
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 1
  12. trend_strength : -0.2796
  13. trend_persistence : 0.5
  14. high_delta_atr : -5.3082
  15. low_delta_atr : -1.496
  16. current_swing_amp_atr : 3.0034
  17. current_swing_speed : 0.50056
  18. current_swing_efficiency : 0.4685
  19. retracement_ratio : 1.8691
  20. extension_ratio : 0.4577
  21. compression_score : 1.4574
  22. swing_entropy : 1
  23. breakout_strength : -0.4686
  24. distance_to_last_high_atr : -1.2527
  25. distance_to_last_low_atr : 1.9647
  26. pivot_count : 22
  27. swing_count : 21
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.007592
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : high
  41. momentum_type : fading
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.557
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2268
  49. scores_strength_score:
    0.6033
  50. scores_quality_score:
    0.3484
  51. scores_cleanliness_score:
    0.2216
  52. scores_structural_quality:
    0.4522
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.6708
  55. scores_continuation_score:
    0.2645
  56. scores_structure_score:
    0.2524
  57. scores_volatility_expansion:
    0.3149
  58. scores_momentum_type_score:
    0.6127
  59. scores_risk_score:
    0.1235
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1296
  62. features_ema50_slope:
    -0.1504
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.8568
  65. features_price_vs_ema50:
    -3.2235
  66. features_recent_hh_hl_score:
    0.3158
  67. features_recent_lh_ll_score:
    0.6842
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5569
  72. features_trend_efficiency:
    0.4685
  73. features_impulse_strength:
    6.3107
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.8691
  76. features_pullback_depth_atr:
    3.039
  77. features_extension_from_mean:
    -3.2235
  78. features_impulse_decay_score:
    0.7712
  79. features_opposing_wick_pressure:
    0.3211
  80. features_volatility_percentile:
    0.3
  81. features_volatility_delta:
    -0.0976
  82. features_body_ratio:
    0.449
  83. features_closes_position_ratio:
    0.4913
  84. features_slope_consistency:
    0.9253
  85. features_range_position:
    0.1235
  86. features_distance_to_recent_high:
    -14.4419
  87. features_distance_to_recent_low:
    2.0351
  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 : 0.0429
  99. obi_top10 : 0.1513
  100. micro_price : 0.00781425
  101. spread_pct : 0.012798
  102. mid_price : 0.0078145
  103. bid_wall_price : 0.0078
  104. bid_wall_size : 28053954.6
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.00784
  107. ask_wall_size : 31387221
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0947
  111. obi_top5_std : 0.0402
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7108
  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 03:00:00
        [price] => 0.008885
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-23 07:00:00
        [price] => 0.008355
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-23 20:00:00
        [price] => 0.009357
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-23 22:00:00
        [price] => 0.008948
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-24 09:00:00
        [price] => 0.009247
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 0.008772
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-24 18:00:00
        [price] => 0.009076
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 0.008729
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 0.009147
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 02:00:00
        [price] => 0.008536
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 0.008734
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 0.008583
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 0.009019
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 04:00:00
        [price] => 0.008277
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 0.00854
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 0.008275
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 0.008538
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-28 05:00:00
        [price] => 0.007758
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-28 08:00:00
        [price] => 0.007949
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.007592
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-27 19:00:00
        [price] => 0.008419
        [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:
    0.007949
  166. levels_lh_price:
    0.007949
  167. levels_lh_timestamp: 2026-05-28 08:00:00
  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 100%

Trend

Trend Strength
-0.280
Persistence
0.500
High Δ ATR
-5.308
Low Δ ATR
-1.496

Current Swing

Amp ATR
3.003
Speed
0.501
Efficiency
0.469

Structure

Retracement
1.869
Extension
0.458
Compression
1.457
Entropy
1.000
Breakout Str.
-0.469
Dist High ATR
-1.253
Dist Low ATR
1.965
22 pivots · 21 swings · Last pivot: ↓ 0.0076 @ bar 144

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 56%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion high
momentum fading
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.227
Strength Score 0.603
Quality Score 0.348
Cleanliness Score 0.222
Structural Quality 0.452
Pullback Score 1.000
Exhaustion Score 0.671
Continuation Score 0.265
Structure Score 0.252
Volatility Expansion 0.315
Momentum Type Score 0.613
Risk Score 0.124
Features
Ema20 Slope
-0.130
Ema50 Slope
-0.150
Ema Alignment Score
0.000
Price Vs Ema20
-0.857
Price Vs Ema50
-3.224
Recent Hh Hl Score
0.316
Recent Lh Ll Score
0.684
Last Bos Direction
-1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.557
Trend Efficiency
0.469
Impulse Strength
6.311
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.869
Pullback Depth Atr
3.039
Extension From Mean
-3.224
Impulse Decay Score
0.771
Opposing Wick Pressure
0.321
Volatility Percentile
0.300
Volatility Delta
-0.098
Body Ratio
0.449
Closes Position Ratio
0.491
Slope Consistency
0.925
Range Position
0.124
Distance To Recent High
-14.442
Distance To Recent Low
2.035
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7108ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.043
avg 0.095 ± 0.040
OBI Top 10 0.151

Microstructure

Mid Price
0.0078
Micro Price
0.0078
Spread
0.0128%

↑ Bid Wall (Support)

Price
0.0078
Size
28,053,954.60

↓ Ask Wall (Resistance)

Price
0.0078
Size
31,387,221.00

📌 Time Data

Start at Closed at Duration
28 May 2026
15:08:59

3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.00781 0.00796 0.007436 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 0.00781
  • Stop Loss: 0.00796
  • Take Profit: 0.007436

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.00796 - 0.00781 = 0.00015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.00781 - 0.007436 = 0.000374

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000374 / 0.00015 = 2.4933

📌 Position Size

Amount Margin Quantity Leverage
417.675 100 53479.5107 4.18
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 0.00015

Taille de position = 8 / 0.00015 = 53333.33

Taille de position USD = 53333.33 x 0.00781 = 416.53

Donc, tu peux acheter 53333.33 avec un stoploss a 0.00796

Avec un position size USD de 416.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 53333.33 x 0.00015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 53333.33 x 0.000374 = 19.95

Si Take Profit atteint, tu gagneras 19.95$

Résumé

  • Taille de position 53333.33
  • Taille de position USD 416.53
  • Perte potentielle 8
  • Gain potentiel 19.95
  • Risk-Reward Ratio 2.4933

📌 Peformances

TP % Target TP $ Target
4.79 % 20 $
SL % Target SL $ Target
1.92 % 8.02 $
PNL PNL %
0 $ 1.14
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 / 104 OUT
seuil : top 15 · score du 28/05/2026 15:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime