18 Jun 2026 at 07:07:32

Long Trade on SKHYNIX (BosPullback)

With 0.21 SKHYNIX at 1783.11$ per unit. Take profit: 1878.8696 (5.37 %) & Stop Loss: 1744.8061 (2.15 %)

Long BosPullback on SKHYNIX (18 Jun 2026 at 07:07:32 to 21:15:00 - 14 hours )

With 0.2089 SKHYNIX at 1783.11$ per unit.

Position size of 372.4137 $
Take profit at 1878.8696 (5.37 %) and Stop Loss at 1744.8061 (2.15 %)

That's a 2.5 RR Trade
Duration: 14 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 9.78
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_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

18/06 07:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — range_high
34%
09/06 00:00
1h ↑ up transition bullish_transition moderate fading normal bull_high
76%
09/06 05:00
15m ↑ up early_expansion bullish_transition moderate balanced expansion_after_compression bull_high
76%
12/06 17:00
5m ↑ up transition bullish_transition moderate grind compression bull_medium
73%
12/06 17:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.61|prog=0.62|zone=invalid
  4. stop_price: 1744.80614902
  5. tp_price: 1878.86962746
  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 : impulse_up
  11. confidence : 1
  12. trend_strength : 0.3702
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.7615
  15. low_delta_atr : 2.6979
  16. current_swing_amp_atr : 1.7088
  17. current_swing_speed : 0.8544
  18. current_swing_efficiency : 0.4877
  19. retracement_ratio : 0.418
  20. extension_ratio : 0.6742
  21. compression_score : 0.754
  22. swing_entropy : 1
  23. breakout_strength : -3.8984
  24. distance_to_last_high_atr : -0.7369
  25. distance_to_last_low_atr : 1.2004
  26. pivot_count : 10
  27. swing_count : 9
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1747.06
  31. last_pivot_index:
    50
  32. ¸
  33. trend_analyzer_1h
  34. ¸
  35. orderbook_context
  36. obi_top5 : -0.0449
  37. obi_top10 : -0.151
  38. micro_price : 1783.745
  39. spread_pct : 0.021867
  40. mid_price : 1783.745
  41. bid_wall_price :
  42. bid_wall_size :
  43. bid_wall_dist_atr :
  44. ask_wall_price : 2460
  45. ask_wall_size : 220
  46. ask_wall_dist_atr :
  47. snapshots_count : 5
  48. obi_top5_mean : -0.0406
  49. obi_top5_std : 0.0223
  50. pressure_side : neutral
  51. collection_mode : ws_rolling
  52. collection_ms : 7061
  53. aggregation_tick : 10
  54. error :
  55. ¸
  56. strategy_details
  57. strategy : bos_pullback
  58. ms_state_1h : impulse_up
  59. strategy_details
  60. pivots_1h_0:
    Array
    (
        [time] => 2026-06-12 06:00:00
        [price] => 1460.31
        [kind] => high
        [label] => 
    )
    
  61. pivots_1h_1:
    Array
    (
        [time] => 2026-06-12 07:00:00
        [price] => 1404.31
        [kind] => low
        [label] => 
    )
    
  62. pivots_1h_2:
    Array
    (
        [time] => 2026-06-16 18:00:00
        [price] => 1569.15
        [kind] => high
        [label] => 
    )
    
  63. pivots_1h_3:
    Array
    (
        [time] => 2026-06-16 20:00:00
        [price] => 1517.88
        [kind] => low
        [label] => HL
    )
    
  64. pivots_1h_4:
    Array
    (
        [time] => 2026-06-17 05:00:00
        [price] => 1684.65
        [kind] => high
        [label] => HH
    )
    
  65. pivots_1h_5:
    Array
    (
        [time] => 2026-06-17 14:00:00
        [price] => 1626.99
        [kind] => low
        [label] => HL
    )
    
  66. pivots_1h_6:
    Array
    (
        [time] => 2026-06-17 18:00:00
        [price] => 1752.34
        [kind] => high
        [label] => HH
    )
    
  67. pivots_1h_7:
    Array
    (
        [time] => 2026-06-17 19:00:00
        [price] => 1666.04
        [kind] => low
        [label] => HL
    )
    
  68. pivots_1h_8:
    Array
    (
        [time] => 2026-06-18 05:00:00
        [price] => 1805.24
        [kind] => high
        [label] => HH
    )
    
  69. pivots_1h_9:
    Array
    (
        [time] => 2026-06-18 07:00:00
        [price] => 1747.06
        [kind] => low
        [label] => HL
    )
    
  70. strategy_details
  71. pivots_15m_0:
    Array
    (
        [time] => 2026-06-17 10:45:00
        [price] => 1669.66
        [kind] => high
        [label] => 
    )
    
  72. pivots_15m_1:
    Array
    (
        [time] => 2026-06-17 12:00:00
        [price] => 1631.46
        [kind] => low
        [label] => 
    )
    
  73. pivots_15m_2:
    Array
    (
        [time] => 2026-06-17 13:30:00
        [price] => 1675.34
        [kind] => high
        [label] => 
    )
    
  74. pivots_15m_3:
    Array
    (
        [time] => 2026-06-17 14:00:00
        [price] => 1626.99
        [kind] => low
        [label] => HL
    )
    
  75. pivots_15m_4:
    Array
    (
        [time] => 2026-06-17 16:00:00
        [price] => 1727.85
        [kind] => high
        [label] => HH
    )
    
  76. pivots_15m_5:
    Array
    (
        [time] => 2026-06-17 17:00:00
        [price] => 1684.49
        [kind] => low
        [label] => HL
    )
    
  77. pivots_15m_6:
    Array
    (
        [time] => 2026-06-17 17:15:00
        [price] => 1717.03
        [kind] => high
        [label] => LH
    )
    
  78. pivots_15m_7:
    Array
    (
        [time] => 2026-06-17 18:15:00
        [price] => 1682.94
        [kind] => low
        [label] => HL
    )
    
  79. pivots_15m_8:
    Array
    (
        [time] => 2026-06-17 18:45:00
        [price] => 1752.34
        [kind] => high
        [label] => HH
    )
    
  80. pivots_15m_9:
    Array
    (
        [time] => 2026-06-17 19:45:00
        [price] => 1666.04
        [kind] => low
        [label] => LL
    )
    
  81. pivots_15m_10:
    Array
    (
        [time] => 2026-06-17 22:30:00
        [price] => 1700
        [kind] => high
        [label] => LH
    )
    
  82. pivots_15m_11:
    Array
    (
        [time] => 2026-06-17 23:00:00
        [price] => 1669.09
        [kind] => low
        [label] => HL
    )
    
  83. pivots_15m_12:
    Array
    (
        [time] => 2026-06-18 00:30:00
        [price] => 1755.27
        [kind] => high
        [label] => HH
    )
    
  84. pivots_15m_13:
    Array
    (
        [time] => 2026-06-18 01:45:00
        [price] => 1717.11
        [kind] => low
        [label] => HL
    )
    
  85. pivots_15m_14:
    Array
    (
        [time] => 2026-06-18 04:30:00
        [price] => 1785.46
        [kind] => high
        [label] => HH
    )
    
  86. pivots_15m_15:
    Array
    (
        [time] => 2026-06-18 05:00:00
        [price] => 1752.81
        [kind] => low
        [label] => HL
    )
    
  87. pivots_15m_16:
    Array
    (
        [time] => 2026-06-18 05:45:00
        [price] => 1805.24
        [kind] => high
        [label] => HH
    )
    
  88. pivots_15m_17:
    Array
    (
        [time] => 2026-06-18 07:30:00
        [price] => 1747.06
        [kind] => low
        [label] => LL
    )
    
  89. bos_level_long : 1752.34
  90. bos_level_short : 0
  91. strategy_details
  92. levels_hl_price:
    1747.06
  93. levels_hl_timestamp: 2026-06-18 07:00:00
  94. levels_hh_price:
    1805.24
  95. levels_lh_price:
    1805.24
  96. levels_lh_timestamp: 2026-06-18 05:00:00
  97. levels_ll_price:
    1747.06
  98. demand_zone :
  99. supply_zone :
  100. ¸
  101. regimes
  102. 1H : bull_high
  103. 15m : bull_medium
  104. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 07:07 1783.11000000 0%
2 07:11 1786.70000000 +0.201%
3 08:05 1785.22000000 +0.118%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ impulse_up
Confidence 100%

Trend

Trend Strength
0.370
Persistence
0.500
High Δ ATR
1.762
Low Δ ATR
2.698

Current Swing

Amp ATR
1.709
Speed
0.854
Efficiency
0.488

Structure

Retracement
0.418
Extension
0.674
Compression
0.754
Entropy
1.000
Breakout Str.
-3.898
Dist High ATR
-0.737
Dist Low ATR
1.200
10 pivots · 9 swings · Last pivot: ↓ 1,747.0600 @ bar 50

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

→ neutral ws_rolling 5 snapshots 7061ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.045
avg -0.041 ± 0.022
OBI Top 10 -0.151

Microstructure

Mid Price
1,783.7450
Micro Price
1,783.7450
Spread
0.0219%

↓ Ask Wall (Resistance)

Price
2,460.0000
Size
220.00

📌 Time Data

Start at Closed at Duration
18 Jun 2026
07:07:32
18 Jun 2026
21:15:00
14 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1783.11 1744.8061 1878.8696 2.5 1830.21
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 1783.11
  • Stop Loss: 1744.8061
  • Take Profit: 1878.8696

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1744.8061 - 1783.11 = -38.3039

  • Récompense (distance jusqu'au take profit):

    E - TP = 1783.11 - 1878.8696 = -95.7596

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -95.7596 / -38.3039 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
372.4137 100 0.2089 3.72
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 -38.3039

Taille de position = 8 / -38.3039 = -0.21

Taille de position USD = -0.21 x 1783.11 = -374.45

Donc, tu peux acheter -0.21 avec un stoploss a 1744.8061

Avec un position size USD de -374.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.21 x -38.3039 = 8.04

Si Stop Loss atteint, tu perdras 8.04$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.21 x -95.7596 = 20.11

Si Take Profit atteint, tu gagneras 20.11$

Résumé

  • Taille de position -0.21
  • Taille de position USD -374.45
  • Perte potentielle 8.04
  • Gain potentiel 20.11
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.37 % 20 $
SL % Target SL $ Target
2.15 % 8 $
PNL PNL %
20 $ 5.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2636 % 12.27 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 22.24
            [max_drawdown] => 4.6999999999998
            [rr_ratio] => 4.73
            [high] => 1805.35000000
            [low] => 1778.41000000
            [mfe_pct] => 1.25
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 4.73
            [candles_analyzed] => 24
            [start_at] => 2026-06-18T07:07:32-04:00
            [end_at] => 2026-06-18T09:07:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 72.74
            [max_drawdown] => 4.6999999999998
            [rr_ratio] => 15.48
            [high] => 1855.85000000
            [low] => 1778.41000000
            [mfe_pct] => 4.08
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 15.48
            [candles_analyzed] => 84
            [start_at] => 2026-06-18T07:07:32-04:00
            [end_at] => 2026-06-18T14:07:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1794.65000000
            [high_after] => 1846.68000000
            [low_before] => 1747.06000000
            [low_after] => 1778.41000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#45 / 105 OUT
seuil : top 15
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime