17 Jun 2026 at 20:06:20

Long Trade on SKHYNIX (BosPullback)

With 0.13 SKHYNIX at 1722.53$ per unit. Take profit: 1872.2481 (8.69 %) & Stop Loss: 1662.6428 (3.48 %)

Long BosPullback on SKHYNIX (17 Jun 2026 at 20:06:20 to 17:55:00 - 21 hours )

With 0.1336 SKHYNIX at 1722.53$ per unit.

Position size of 230.1032 $
Take profit at 1872.2481 (8.69 %) and Stop Loss at 1662.6428 (3.48 %)

That's a 2.5 RR Trade
Duration: 21 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 10
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 : bull_high

rules_regime_5m : range_low

Score : 1

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : bear_high

tf_aligned : 1

17/06 20:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

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: 0.69
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.07|prog=0.65|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 1662.64277993
  5. tp_price: 1872.24805017
  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_up
  11. confidence : 0.99
  12. trend_strength : 0.4068
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.9963
  15. low_delta_atr : 1.1517
  16. current_swing_amp_atr : 2.3
  17. current_swing_speed : 2.30001
  18. current_swing_efficiency : 0.649
  19. retracement_ratio : 0.6885
  20. extension_ratio : 1.4967
  21. compression_score : 0.6671
  22. swing_entropy : 1
  23. breakout_strength : -2.8177
  24. distance_to_last_high_atr : -0.8792
  25. distance_to_last_low_atr : 1.666
  26. pivot_count : 8
  27. swing_count : 7
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1666.04
  31. last_pivot_index:
    49
  32. ¸
  33. trend_analyzer_1h
  34. ¸
  35. orderbook_context
  36. obi_top5 : -0.3207
  37. obi_top10 : -0.4386
  38. micro_price : 1724.008
  39. spread_pct : 0.040617
  40. mid_price : 1723.77
  41. bid_wall_price :
  42. bid_wall_size :
  43. bid_wall_dist_atr :
  44. ask_wall_price : 2400
  45. ask_wall_size : 210.08
  46. ask_wall_dist_atr :
  47. snapshots_count : 5
  48. obi_top5_mean : -0.2562
  49. obi_top5_std : 0.0595
  50. pressure_side : ask
  51. collection_mode : ws_rolling
  52. collection_ms : 7257
  53. aggregation_tick : 10
  54. error :
  55. ¸
  56. strategy_details
  57. strategy : bos_pullback
  58. ms_state_1h : pullback_up
  59. strategy_details
  60. pivots_1h_0:
    Array
    (
        [time] => 2026-06-11 19:00:00
        [price] => 1556.39
        [kind] => high
        [label] => 
    )
    
  61. pivots_1h_1:
    Array
    (
        [time] => 2026-06-12 06:00:00
        [price] => 1402.02
        [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. strategy_details
  69. pivots_15m_0:
    Array
    (
        [time] => 2026-06-17 01:00:00
        [price] => 1576.9
        [kind] => low
        [label] => 
    )
    
  70. pivots_15m_1:
    Array
    (
        [time] => 2026-06-17 02:15:00
        [price] => 1618.5
        [kind] => high
        [label] => 
    )
    
  71. pivots_15m_2:
    Array
    (
        [time] => 2026-06-17 03:15:00
        [price] => 1591.72
        [kind] => low
        [label] => HL
    )
    
  72. pivots_15m_3:
    Array
    (
        [time] => 2026-06-17 05:30:00
        [price] => 1684.65
        [kind] => high
        [label] => HH
    )
    
  73. pivots_15m_4:
    Array
    (
        [time] => 2026-06-17 06:30:00
        [price] => 1653.44
        [kind] => low
        [label] => HL
    )
    
  74. pivots_15m_5:
    Array
    (
        [time] => 2026-06-17 06:45:00
        [price] => 1677.7
        [kind] => high
        [label] => LH
    )
    
  75. pivots_15m_6:
    Array
    (
        [time] => 2026-06-17 08:00:00
        [price] => 1677.55
        [kind] => high
        [label] => LH
    )
    
  76. pivots_15m_7:
    Array
    (
        [time] => 2026-06-17 10:00:00
        [price] => 1648.94
        [kind] => low
        [label] => LL
    )
    
  77. pivots_15m_8:
    Array
    (
        [time] => 2026-06-17 10:45:00
        [price] => 1669.66
        [kind] => high
        [label] => LH
    )
    
  78. pivots_15m_9:
    Array
    (
        [time] => 2026-06-17 12:00:00
        [price] => 1631.46
        [kind] => low
        [label] => LL
    )
    
  79. pivots_15m_10:
    Array
    (
        [time] => 2026-06-17 13:30:00
        [price] => 1675.34
        [kind] => high
        [label] => HH
    )
    
  80. pivots_15m_11:
    Array
    (
        [time] => 2026-06-17 14:00:00
        [price] => 1626.99
        [kind] => low
        [label] => HL
    )
    
  81. pivots_15m_12:
    Array
    (
        [time] => 2026-06-17 16:00:00
        [price] => 1727.85
        [kind] => high
        [label] => HH
    )
    
  82. pivots_15m_13:
    Array
    (
        [time] => 2026-06-17 17:00:00
        [price] => 1684.49
        [kind] => low
        [label] => HL
    )
    
  83. pivots_15m_14:
    Array
    (
        [time] => 2026-06-17 17:15:00
        [price] => 1717.03
        [kind] => high
        [label] => LH
    )
    
  84. pivots_15m_15:
    Array
    (
        [time] => 2026-06-17 18:15:00
        [price] => 1682.94
        [kind] => low
        [label] => HL
    )
    
  85. pivots_15m_16:
    Array
    (
        [time] => 2026-06-17 18:45:00
        [price] => 1752.34
        [kind] => high
        [label] => HH
    )
    
  86. pivots_15m_17:
    Array
    (
        [time] => 2026-06-17 19:45:00
        [price] => 1666.04
        [kind] => low
        [label] => LL
    )
    
  87. pivots_15m_18:
    Array
    (
        [time] => 2026-06-17 22:30:00
        [price] => 1700
        [kind] => high
        [label] => LH
    )
    
  88. pivots_15m_19:
    Array
    (
        [time] => 2026-06-17 23:00:00
        [price] => 1669.09
        [kind] => low
        [label] => HL
    )
    
  89. bos_level_long : 1684.65
  90. bos_level_short : 0
  91. strategy_details
  92. levels_hl_price:
    1666.04
  93. levels_hl_timestamp: 2026-06-17 19:00:00
  94. levels_hh_price:
    1752.34
  95. levels_lh_price:
    1752.34
  96. levels_lh_timestamp: 2026-06-17 18:00:00
  97. levels_ll_price:
    1666.04
  98. strategy_details
  99. demand_zone_top:
    1684.65
  100. demand_zone_bottom:
    1626.99
  101. demand_zone_mid:
    1655.82
  102. demand_zone_freshness: tested
  103. demand_zone_strength:
    0.8792
  104. supply_zone :
  105. ¸
  106. regimes
  107. 1H : bull_high
  108. 15m : bull_high
  109. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 99%

Trend

Trend Strength
0.407
Persistence
0.500
High Δ ATR
1.996
Low Δ ATR
1.152

Current Swing

Amp ATR
2.300
Speed
2.300
Efficiency
0.649

Structure

Retracement
0.689
Extension
1.497
Compression
0.667
Entropy
1.000
Breakout Str.
-2.818
Dist High ATR
-0.879
Dist Low ATR
1.666
8 pivots · 7 swings · Last pivot: ↓ 1,666.0400 @ bar 49

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

↓ ask ws_rolling 5 snapshots 7257ms Confidence avant OB : 79%69%

Order Book Imbalance

OBI Top 5 -0.321
avg -0.256 ± 0.060
OBI Top 10 -0.439

Microstructure

Mid Price
1,723.7700
Micro Price
1,724.0080
Spread
0.0406%

↓ Ask Wall (Resistance)

Price
2,400.0000
Size
210.08

📌 Time Data

Start at Closed at Duration
17 Jun 2026
20:06:20
18 Jun 2026
17:55:00
21 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1722.53 1662.6428 1872.2481 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 1722.53
  • Stop Loss: 1662.6428
  • Take Profit: 1872.2481

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1662.6428 - 1722.53 = -59.8872

  • Récompense (distance jusqu'au take profit):

    E - TP = 1722.53 - 1872.2481 = -149.7181

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -149.7181 / -59.8872 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
230.1032 100 0.1336 2.30
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 -59.8872

Taille de position = 8 / -59.8872 = -0.13

Taille de position USD = -0.13 x 1722.53 = -223.93

Donc, tu peux acheter -0.13 avec un stoploss a 1662.6428

Avec un position size USD de -223.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.13 x -59.8872 = 7.79

Si Stop Loss atteint, tu perdras 7.79$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.13 x -149.7181 = 19.46

Si Take Profit atteint, tu gagneras 19.46$

Résumé

  • Taille de position -0.13
  • Taille de position USD -223.93
  • Perte potentielle 7.79
  • Gain potentiel 19.46
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
8.69 % 20 $
SL % Target SL $ Target
3.48 % 8 $
PNL PNL %
20 $ 8.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3147 % 9.05 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 32.74
            [max_drawdown] => 5.4200000000001
            [rr_ratio] => 6.04
            [high] => 1755.27000000
            [low] => 1717.11000000
            [mfe_pct] => 1.9
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 6.04
            [candles_analyzed] => 24
            [start_at] => 2026-06-17T20:06:20-04:00
            [end_at] => 2026-06-17T22:06:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 82.71
            [max_drawdown] => 5.4200000000001
            [rr_ratio] => 15.26
            [high] => 1805.24000000
            [low] => 1717.11000000
            [mfe_pct] => 4.8
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 15.26
            [candles_analyzed] => 84
            [start_at] => 2026-06-17T20:06:20-04:00
            [end_at] => 2026-06-18T03:06:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1743.42000000
            [high_after] => 1805.24000000
            [low_before] => 1669.09000000
            [low_after] => 1717.11000000
            [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
69 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime