07 Jun 2026 at 21:40:58

Long Trade on PENGU (BosPullback)

With 28049.51 PENGU at 0.0068$ per unit. Take profit: 0.007517 (10.48 %) & Stop Loss: 0.006519 (4.19 %)

Long BosPullback on PENGU (07 Jun 2026 at 21:40:58 to 20:35:00 - 22 hours )

With 28049.5074 PENGU at 0.006804$ per unit.

Position size of 190.8488 $
Take profit at 0.007517 (10.48 %) and Stop Loss at 0.006519 (4.19 %)

That's a 2.5 RR Trade
Duration: 22 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.6
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_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

07/06 21:02

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 ↓ down transition bearish_transition moderate fading normal bear_high
75%
08/06 00:00
1h ↑ up range range moderate balanced normal bull_high
71%
08/06 01:00
15m ↔ neutral transition bullish_transition strong explosive volatile_reversal bull_high
58%
08/06 01:15
5m ↔ neutral range range moderate balanced compression range_medium
45%
08/06 01:25

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=3|retests=1|break_atr=0.31|prog=0.50|zone=invalid
  4. stop_price: 0.00651879
  5. tp_price: 0.00751703
  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 : range
  11. confidence : 0.556
  12. trend_strength : 0.2221
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.5896
  15. low_delta_atr : -0.2111
  16. current_swing_amp_atr : 3.6245
  17. current_swing_speed : 1.20818
  18. current_swing_efficiency : 0.6822
  19. retracement_ratio : 1.886
  20. extension_ratio : 2.1375
  21. compression_score : 0.7877
  22. swing_entropy : 1
  23. breakout_strength : -0.1055
  24. distance_to_last_high_atr : -1.6951
  25. distance_to_last_low_atr : 1.6885
  26. pivot_count : 39
  27. swing_count : 38
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.007049
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.539
  46. state : up_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.683
  49. scores_strength_score:
    0.662
  50. scores_quality_score:
    0.3586
  51. scores_cleanliness_score:
    0.2224
  52. scores_structural_quality:
    0.47
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1562
  55. scores_continuation_score:
    0.6013
  56. scores_structure_score:
    0.5839
  57. scores_volatility_expansion:
    0.7227
  58. scores_momentum_type_score:
    0.6759
  59. scores_risk_score:
    0.6619
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0976
  62. features_ema50_slope:
    0.0614
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.3637
  65. features_price_vs_ema50:
    1.0203
  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:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5552
  72. features_trend_efficiency:
    0.6822
  73. features_impulse_strength:
    3.6245
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.886
  76. features_pullback_depth_atr:
    4.0719
  77. features_extension_from_mean:
    1.0203
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2676
  80. features_volatility_percentile:
    0.64
  81. features_volatility_delta:
    0.2081
  82. features_body_ratio:
    0.4865
  83. features_closes_position_ratio:
    0.4764
  84. features_slope_consistency:
    0.7689
  85. features_range_position:
    0.6619
  86. features_distance_to_recent_high:
    -3.0037
  87. features_distance_to_recent_low:
    5.8802
  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 : -0.1639
  99. obi_top10 : -0.0442
  100. micro_price : 0.00678608
  101. spread_pct : 0.029472
  102. mid_price : 0.006787
  103. bid_wall_price : 0.00676
  104. bid_wall_size : 16612944
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.00693
  107. ask_wall_size : 32718323
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.1498
  111. obi_top5_std : 0.009
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7191
  115. aggregation_tick : 1.0E-5
  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 02:00:00
        [price] => 0.006409
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 0.007122
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 0.006574
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-04 15:00:00
        [price] => 0.00699
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-05 06:00:00
        [price] => 0.006202
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-05 13:00:00
        [price] => 0.00661
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 0.006144
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 0.006558
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 0.006076
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-05 21:00:00
        [price] => 0.006512
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-06 05:00:00
        [price] => 0.005821
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-06 09:00:00
        [price] => 0.006472
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-06 10:00:00
        [price] => 0.006094
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-06 14:00:00
        [price] => 0.0065
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-06 20:00:00
        [price] => 0.006176
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-07 08:00:00
        [price] => 0.006927
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 0.006568
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-07 17:00:00
        [price] => 0.006808
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-07 19:00:00
        [price] => 0.006536
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-07 22:00:00
        [price] => 0.007049
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-07 02:15:00
        [price] => 0.0067
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-07 04:15:00
        [price] => 0.006563
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-07 05:15:00
        [price] => 0.00689
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-07 06:00:00
        [price] => 0.006706
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-07 07:45:00
        [price] => 0.006874
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-07 08:00:00
        [price] => 0.006705
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-07 08:45:00
        [price] => 0.006927
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-07 12:30:00
        [price] => 0.006568
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-07 14:30:00
        [price] => 0.006786
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-07 15:15:00
        [price] => 0.006654
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-07 17:15:00
        [price] => 0.006808
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-07 19:15:00
        [price] => 0.006536
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-07 21:15:00
        [price] => 0.006723
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-07 21:45:00
        [price] => 0.006637
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-07 22:15:00
        [price] => 0.007049
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-07 23:00:00
        [price] => 0.006812
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-08 00:00:00
        [price] => 0.007024
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-08 00:15:00
        [price] => 0.006869
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0.006808
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.006536
  165. levels_hl_timestamp: 2026-06-07 19:00:00
  166. levels_hh_price:
    0.007049
  167. levels_lh_price:
    0.007049
  168. levels_lh_timestamp: 2026-06-07 22:00:00
  169. levels_ll_price:
    0.006536
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    0.007122
  173. supply_zone_bottom:
    0.006859
  174. supply_zone_mid:
    0.0069905
  175. supply_zone_freshness: weak
  176. supply_zone_strength:
    0.9121
  177. ¸
  178. regimes
  179. 1H : bull_high
  180. 15m : range_high
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 56%

Trend

Trend Strength
0.222
Persistence
0.500
High Δ ATR
1.590
Low Δ ATR
-0.211

Current Swing

Amp ATR
3.625
Speed
1.208
Efficiency
0.682

Structure

Retracement
1.886
Extension
2.138
Compression
0.788
Entropy
1.000
Breakout Str.
-0.106
Dist High ATR
-1.695
Dist Low ATR
1.689
39 pivots · 38 swings · Last pivot: ↑ 0.0070 @ bar 146

Trend Analyzer 1H

1H ↑ up up_range_balanced
Confidence 54%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum balanced
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.683
Strength Score 0.662
Quality Score 0.359
Cleanliness Score 0.222
Structural Quality 0.470
Pullback Score 1.000
Exhaustion Score 0.156
Continuation Score 0.601
Structure Score 0.584
Volatility Expansion 0.723
Momentum Type Score 0.676
Risk Score 0.662
Features
Ema20 Slope
0.098
Ema50 Slope
0.061
Ema Alignment Score
1.000
Price Vs Ema20
0.364
Price Vs Ema50
1.020
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.555
Trend Efficiency
0.682
Impulse Strength
3.625
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.886
Pullback Depth Atr
4.072
Extension From Mean
1.020
Impulse Decay Score
0.000
Opposing Wick Pressure
0.268
Volatility Percentile
0.640
Volatility Delta
0.208
Body Ratio
0.487
Closes Position Ratio
0.476
Slope Consistency
0.769
Range Position
0.662
Distance To Recent High
-3.004
Distance To Recent Low
5.880
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7191ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.164
avg -0.150 ± 0.009
OBI Top 10 -0.044

Microstructure

Mid Price
0.0068
Micro Price
0.0068
Spread
0.0295%

↑ Bid Wall (Support)

Price
0.0068
Size
16,612,944.00

↓ Ask Wall (Resistance)

Price
0.0069
Size
32,718,323.00

📌 Time Data

Start at Closed at Duration
07 Jun 2026
21:40:58
08 Jun 2026
20:35:00
22 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.006804 0.006519 0.007517 2.5 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 0.006804
  • Stop Loss: 0.006519
  • Take Profit: 0.007517

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.006519 - 0.006804 = -0.000285

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.006804 - 0.007517 = -0.000713

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.000713 / -0.000285 = 2.5018

📌 Position Size

Amount Margin Quantity Leverage
190.8488 100 28049.5074 1.91
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 -0.000285

Taille de position = 8 / -0.000285 = -28070.18

Taille de position USD = -28070.18 x 0.006804 = -190.99

Donc, tu peux acheter -28070.18 avec un stoploss a 0.006519

Avec un position size USD de -190.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -28070.18 x -0.000285 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -28070.18 x -0.000713 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -28070.18
  • Taille de position USD -190.99
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5018

📌 Peformances

TP % Target TP $ Target
10.48 % 20 $
SL % Target SL $ Target
4.19 % 7.99 $
PNL PNL %
-7.99 $ -4.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.8942 % 116.84 % 36

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.8E-5
            [max_drawdown] => 5.1E-5
            [rr_ratio] => 0.55
            [high] => 0.00683200
            [low] => 0.00675300
            [mfe_pct] => 0.41
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 24
            [start_at] => 2026-06-07T21:40:58-04:00
            [end_at] => 2026-06-07T23:40:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.2E-5
            [max_drawdown] => 0.000159
            [rr_ratio] => 0.26
            [high] => 0.00684600
            [low] => 0.00664500
            [mfe_pct] => 0.62
            [mae_pct] => 2.34
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2026-06-07T21:40:58-04:00
            [end_at] => 2026-06-08T04:40:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00704900
            [high_after] => 0.00683400
            [low_before] => 0.00663700
            [low_after] => 0.00664500
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#16 / n/a OUT
seuil : top 15 · score du 07/06/2026 21:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime