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Long Trade on ENA

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18 Jun 2026 at 01:21:26

Long Trade on ENA (BosPullback)

With 2370.25 ENA at 0.0923$ per unit. Take profit: 0.1008 (9.15 %) & Stop Loss: 0.08897 (3.66 %)

Long BosPullback on ENA (18 Jun 2026 at 01:21:26 to 13:10:00 - 11 hours )

With 2370.251 ENA at 0.09235$ per unit.

Position size of 218.8927 $
Take profit at 0.1008 (9.15 %) and Stop Loss at 0.08897 (3.66 %)

That's a 2.5 RR Trade
Duration: 11 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.54
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 : bear_low

Score : 0

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : bear_high

tf_aligned : 1

18/06 01:01
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 ↔ neutral transition bearish_transition moderate grind expansion bull_high
80%
18/06 00:00
1h ↑ up transition bullish_transition strong explosive volatile_reversal bull_high
68%
18/06 04:00
15m ↔ neutral transition bullish_transition moderate fading compression range_high
40%
18/06 05:00
5m ↔ neutral transition bullish_transition moderate fading compression bear_high
63%
18/06 05:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=3|retests=1|break_atr=0.52|prog=0.32|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 0.08897483
  5. tp_price: 0.10078793
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
    5. ¸
  5. market_structures
    6. ¸
  6. market_structure_v2
  7. timeframe : 1h
  8. state : pullback_up
  9. confidence : 0.348
  10. trend_strength : 0.3484
  11. trend_persistence : 0.5
  12. high_delta_atr : 1.0786
  13. low_delta_atr : -1.1492
  14. current_swing_amp_atr : 3.3531
  15. current_swing_speed : 0.83826
  16. current_swing_efficiency : 0.5713
  17. retracement_ratio : 3.0751
  18. extension_ratio : 0.8358
  19. compression_score : 0.6706
  20. swing_entropy : 1
  21. breakout_strength : -1.3413
  22. distance_to_last_high_atr : -2.4199
  23. distance_to_last_low_atr : 1.1139
  24. pivot_count : 12
  25. swing_count : 11
  26. market_structure_v2
  27. last_pivot_kind: high
  28. last_pivot_price: 
    0.09824
  29. last_pivot_index: 
    55
    30. ¸
  30. trend_analyzer_1h
    31. ¸
  31. orderbook_context
  32. obi_top5 : 0.2155
  33. obi_top10 : 0.1748
  34. micro_price : 0.09205016
  35. spread_pct : 0.010864
  36. mid_price : 0.092055
  37. bid_wall_price : 0.0911
  38. bid_wall_size : 2357695.8
  39. bid_wall_dist_atr :
  40. ask_wall_price :
  41. ask_wall_size :
  42. ask_wall_dist_atr :
  43. snapshots_count : 5
  44. obi_top5_mean : 0.2461
  45. obi_top5_std : 0.078
  46. pressure_side : bid
  47. collection_mode : ws_rolling
  48. collection_ms : 6925
  49. aggregation_tick : 0.0001
  50. error :
    51. ¸
  51. strategy_details
  52. strategy : bos_pullback
  53. ms_state_1h : pullback_up
  54. strategy_details
  55. pivots_1h_0: 
    Array
(
    [time] => 2026-06-12 04:00:00
    [price] => 0.08071
    [kind] => high
    [label] => 
)
  56. pivots_1h_1: 
    Array
(
    [time] => 2026-06-12 06:00:00
    [price] => 0.07713
    [kind] => low
    [label] => 
)
  57. pivots_1h_2: 
    Array
(
    [time] => 2026-06-12 13:00:00
    [price] => 0.08288
    [kind] => high
    [label] => 
)
  58. pivots_1h_3: 
    Array
(
    [time] => 2026-06-12 16:00:00
    [price] => 0.07741
    [kind] => low
    [label] => HL
)
  59. pivots_1h_4: 
    Array
(
    [time] => 2026-06-16 20:00:00
    [price] => 0.08881
    [kind] => high
    [label] => HH
)
  60. pivots_1h_5: 
    Array
(
    [time] => 2026-06-16 23:00:00
    [price] => 0.0857
    [kind] => low
    [label] => HL
)
  61. pivots_1h_6: 
    Array
(
    [time] => 2026-06-17 02:00:00
    [price] => 0.08886
    [kind] => high
    [label] => LH
)
  62. pivots_1h_7: 
    Array
(
    [time] => 2026-06-17 08:00:00
    [price] => 0.08471
    [kind] => low
    [label] => LL
)
  63. pivots_1h_8: 
    Array
(
    [time] => 2026-06-17 16:00:00
    [price] => 0.09549
    [kind] => high
    [label] => HH
)
  64. pivots_1h_9: 
    Array
(
    [time] => 2026-06-17 17:00:00
    [price] => 0.09216
    [kind] => low
    [label] => HL
)
  65. pivots_1h_10: 
    Array
(
    [time] => 2026-06-17 22:00:00
    [price] => 0.08923
    [kind] => low
    [label] => LL
)
  66. pivots_1h_11: 
    Array
(
    [time] => 2026-06-18 02:00:00
    [price] => 0.09824
    [kind] => high
    [label] => HH
)
  67. strategy_details
  68. pivots_15m_0: 
    Array
(
    [time] => 2026-06-17 04:45:00
    [price] => 0.08745
    [kind] => high
    [label] => 
)
  69. pivots_15m_1: 
    Array
(
    [time] => 2026-06-17 05:15:00
    [price] => 0.08538
    [kind] => low
    [label] => 
)
  70. pivots_15m_2: 
    Array
(
    [time] => 2026-06-17 06:15:00
    [price] => 0.0878
    [kind] => high
    [label] => 
)
  71. pivots_15m_3: 
    Array
(
    [time] => 2026-06-17 08:30:00
    [price] => 0.08471
    [kind] => low
    [label] => LL
)
  72. pivots_15m_4: 
    Array
(
    [time] => 2026-06-17 12:00:00
    [price] => 0.09011
    [kind] => high
    [label] => HH
)
  73. pivots_15m_5: 
    Array
(
    [time] => 2026-06-17 12:15:00
    [price] => 0.08684
    [kind] => low
    [label] => HL
)
  74. pivots_15m_6: 
    Array
(
    [time] => 2026-06-17 13:45:00
    [price] => 0.09207
    [kind] => high
    [label] => HH
)
  75. pivots_15m_7: 
    Array
(
    [time] => 2026-06-17 14:00:00
    [price] => 0.0895
    [kind] => low
    [label] => HL
)
  76. pivots_15m_8: 
    Array
(
    [time] => 2026-06-17 16:30:00
    [price] => 0.09549
    [kind] => high
    [label] => HH
)
  77. pivots_15m_9: 
    Array
(
    [time] => 2026-06-17 17:00:00
    [price] => 0.09216
    [kind] => low
    [label] => HL
)
  78. pivots_15m_10: 
    Array
(
    [time] => 2026-06-17 17:45:00
    [price] => 0.09541
    [kind] => high
    [label] => LH
)
  79. pivots_15m_11: 
    Array
(
    [time] => 2026-06-17 18:00:00
    [price] => 0.09235
    [kind] => low
    [label] => HL
)
  80. pivots_15m_12: 
    Array
(
    [time] => 2026-06-17 19:30:00
    [price] => 0.09014
    [kind] => low
    [label] => LL
)
  81. pivots_15m_13: 
    Array
(
    [time] => 2026-06-17 20:45:00
    [price] => 0.09282
    [kind] => high
    [label] => LH
)
  82. pivots_15m_14: 
    Array
(
    [time] => 2026-06-17 22:00:00
    [price] => 0.08923
    [kind] => low
    [label] => LL
)
  83. pivots_15m_15: 
    Array
(
    [time] => 2026-06-18 00:00:00
    [price] => 0.09741
    [kind] => high
    [label] => HH
)
  84. pivots_15m_16: 
    Array
(
    [time] => 2026-06-18 00:15:00
    [price] => 0.09455
    [kind] => low
    [label] => HL
)
  85. pivots_15m_17: 
    Array
(
    [time] => 2026-06-18 01:15:00
    [price] => 0.09793
    [kind] => high
    [label] => LH
)
  86. pivots_15m_18: 
    Array
(
    [time] => 2026-06-18 01:45:00
    [price] => 0.09516
    [kind] => low
    [label] => HL
)
  87. pivots_15m_19: 
    Array
(
    [time] => 2026-06-18 02:45:00
    [price] => 0.09824
    [kind] => high
    [label] => LH
)
  88. bos_level_long : 0.09549
  89. bos_level_short : 0
  90. strategy_details
  91. levels_hl_price: 
    0.08923
  92. levels_hl_timestamp: 2026-06-17 22:00:00
  93. levels_hh_price: 
    0.09824
  94. levels_lh_price: 
    0.09824
  95. levels_lh_timestamp: 2026-06-18 02:00:00
  96. levels_ll_price: 
    0.08923
  97. strategy_details
  98. demand_zone_top: 
    0.09432
  99. demand_zone_bottom: 
    0.08923
  100. demand_zone_mid: 
    0.091775
  101. demand_zone_freshness: tested
  102. demand_zone_strength: 
    0.9713
  103. supply_zone :
    104. ¸
  104. regimes
  105. 1H : bull_high
  106. 15m : range_high
    107. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 01:21 0.09235000 0%
2 02:04 0.09253000 +0.195%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 35%

Trend

Trend Strength
0.348
Persistence
0.500
High Δ ATR
1.079
Low Δ ATR
-1.149

Current Swing

Amp ATR
3.353
Speed
0.838
Efficiency
0.571

Structure

Retracement
3.075
Extension
0.836
Compression
0.671
Entropy
1.000
Breakout Str.
-1.341
Dist High ATR
-2.420
Dist Low ATR
1.114
12 pivots · 11 swings · Last pivot: ↑ 0.0982 @ bar 55

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

↑ bid ws_rolling 5 snapshots 6925ms Confidence avant OB : 86% → 93%

Order Book Imbalance

OBI Top 5 0.216
avg 0.246 ± 0.078
OBI Top 10 0.175

Microstructure

Mid Price
0.0921
Micro Price
0.0921
Spread
0.0109%

↑ Bid Wall (Support)

Price
0.0911
Size
2,357,695.80

📌 Time Data

Start at Closed at Duration
18 Jun 2026
01:21:26		 18 Jun 2026
13:10:00		 11 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09235 0.08897 0.1008 2.5 0.08713
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 0.09235
  • Stop Loss: 0.08897
  • Take Profit: 0.1008

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08897 - 0.09235 = -0.00338

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09235 - 0.1008 = -0.00845

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00845 / -0.00338 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
218.8927 100 2370.251 2.19
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 -0.00338

Taille de position = 8 / -0.00338 = -2366.86

Taille de position USD = -2366.86 x 0.09235 = -218.58

Donc, tu peux acheter -2366.86 avec un stoploss a 0.08897

Avec un position size USD de -218.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2366.86 x -0.00338 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2366.86 x -0.00845 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -2366.86
  • Taille de position USD -218.58
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
9.15 % 20.03 $
SL % Target SL $ Target
3.66 % 8.01 $
PNL PNL %
-8.01 $ -3.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.9307 % 107.4 % 24

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00331
            [max_drawdown] => 0.00138
            [rr_ratio] => 2.4
            [high] => 0.09566000
            [low] => 0.09097000
            [mfe_pct] => 3.58
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 2.4
            [candles_analyzed] => 24
            [start_at] => 2026-06-18T01:21:26-04:00
            [end_at] => 2026-06-18T03:21:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00373
            [max_drawdown] => 0.00138
            [rr_ratio] => 2.7
            [high] => 0.09608000
            [low] => 0.09097000
            [mfe_pct] => 4.04
            [mae_pct] => 1.49
            [mfe_mae_ratio] => 2.7
            [candles_analyzed] => 84
            [start_at] => 2026-06-18T01:21:26-04:00
            [end_at] => 2026-06-18T08:21:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09824000
            [high_after] => 0.09608000
            [low_before] => 0.09142000
            [low_after] => 0.09097000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#80 / 105 OUT
seuil : top 15
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime