19 Jun 2026 at 02:05:20

Long Trade on NVDA (BosPullback)

With 6.87 NVDA at 209.15$ per unit. Take profit: 212.062 (1.39 %) & Stop Loss: 207.9852 (0.56 %)

Long BosPullback on NVDA (19 Jun 2026 at 02:05:20 open - 4 weeks )

With 6.8682 NVDA at 209.15$ per unit.

Position size of 1436.4826 $
Take profit at 212.062 (1.39 %) and Stop Loss at 207.9852 (0.56 %)

That's a 2.5 RR Trade
Duration: 4 weeks

Results

Status:
open
Trade Type:
buy
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 : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

19/06 02:01

BTC Correlation Coin Market Regime

1H_regime : range_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range moderate grind compression range_high
48%
18/06 20:00
1h ↑ up transition bullish_transition moderate grind compression bull_medium
79%
19/06 04:00
15m ↔ neutral range range moderate grind volatile_reversal range_low
34%
19/06 05:45
5m ↓ down range range moderate explosive normal range_low
50%
19/06 05:55

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.87
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=11|retests=1|break_atr=0.42|prog=0.31|zone=weak|ob:bid_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 207.98521037
  5. tp_price: 212.06197408
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 1
  12. trend_strength : 0.1579
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.6218
  15. low_delta_atr : 2.954
  16. current_swing_amp_atr : 3.0006
  17. current_swing_speed : 0.75014
  18. current_swing_efficiency : 0.4624
  19. retracement_ratio : 1.6667
  20. extension_ratio : 0.7527
  21. compression_score : 0.9082
  22. swing_entropy : 1
  23. breakout_strength : -1.17
  24. distance_to_last_high_atr : -2.7918
  25. distance_to_last_low_atr : 1.2627
  26. pivot_count : 13
  27. swing_count : 12
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    211.56
  31. last_pivot_index:
    50
  32. ¸
  33. trend_analyzer_1h
  34. ¸
  35. orderbook_context
  36. obi_top5 : 0.7933
  37. obi_top10 : 0.7933
  38. micro_price : 209.19202479
  39. spread_pct : 0.00478
  40. mid_price : 209.195
  41. bid_wall_price :
  42. bid_wall_size :
  43. bid_wall_dist_atr :
  44. ask_wall_price :
  45. ask_wall_size :
  46. ask_wall_dist_atr :
  47. snapshots_count : 5
  48. obi_top5_mean : 0.7934
  49. obi_top5_std : 0.0001
  50. pressure_side : bid
  51. collection_mode : ws_rolling
  52. collection_ms : 6997
  53. aggregation_tick : 1
  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] => 2026-06-16 18:00:00
        [price] => 210.01
        [kind] => high
        [label] => 
    )
    
  61. pivots_1h_1:
    Array
    (
        [time] => 2026-06-16 20:00:00
        [price] => 207.25
        [kind] => low
        [label] => 
    )
    
  62. pivots_1h_2:
    Array
    (
        [time] => 2026-06-17 07:00:00
        [price] => 209.37
        [kind] => high
        [label] => 
    )
    
  63. pivots_1h_3:
    Array
    (
        [time] => 2026-06-17 11:00:00
        [price] => 208.02
        [kind] => low
        [label] => HL
    )
    
  64. pivots_1h_4:
    Array
    (
        [time] => 2026-06-17 13:00:00
        [price] => 209.43
        [kind] => high
        [label] => LH
    )
    
  65. pivots_1h_5:
    Array
    (
        [time] => 2026-06-17 15:00:00
        [price] => 206.28
        [kind] => low
        [label] => LL
    )
    
  66. pivots_1h_6:
    Array
    (
        [time] => 2026-06-17 17:00:00
        [price] => 208.28
        [kind] => high
        [label] => LH
    )
    
  67. pivots_1h_7:
    Array
    (
        [time] => 2026-06-17 19:00:00
        [price] => 203.8
        [kind] => low
        [label] => LL
    )
    
  68. pivots_1h_8:
    Array
    (
        [time] => 2026-06-18 00:00:00
        [price] => 207.94
        [kind] => high
        [label] => LH
    )
    
  69. pivots_1h_9:
    Array
    (
        [time] => 2026-06-18 04:00:00
        [price] => 205.51
        [kind] => low
        [label] => HL
    )
    
  70. pivots_1h_10:
    Array
    (
        [time] => 2026-06-18 14:00:00
        [price] => 210.16
        [kind] => high
        [label] => HH
    )
    
  71. pivots_1h_11:
    Array
    (
        [time] => 2026-06-18 15:00:00
        [price] => 208.06
        [kind] => low
        [label] => HL
    )
    
  72. pivots_1h_12:
    Array
    (
        [time] => 2026-06-18 19:00:00
        [price] => 211.56
        [kind] => high
        [label] => HH
    )
    
  73. strategy_details
  74. pivots_15m_0:
    Array
    (
        [time] => 2026-06-18 08:00:00
        [price] => 207.6
        [kind] => high
        [label] => 
    )
    
  75. pivots_15m_1:
    Array
    (
        [time] => 2026-06-18 09:00:00
        [price] => 206.75
        [kind] => low
        [label] => 
    )
    
  76. pivots_15m_2:
    Array
    (
        [time] => 2026-06-18 10:30:00
        [price] => 207.66
        [kind] => high
        [label] => 
    )
    
  77. pivots_15m_3:
    Array
    (
        [time] => 2026-06-18 11:30:00
        [price] => 206.82
        [kind] => low
        [label] => HL
    )
    
  78. pivots_15m_4:
    Array
    (
        [time] => 2026-06-18 13:15:00
        [price] => 208.47
        [kind] => high
        [label] => HH
    )
    
  79. pivots_15m_5:
    Array
    (
        [time] => 2026-06-18 13:30:00
        [price] => 206.91
        [kind] => low
        [label] => HL
    )
    
  80. pivots_15m_6:
    Array
    (
        [time] => 2026-06-18 14:15:00
        [price] => 210.16
        [kind] => high
        [label] => HH
    )
    
  81. pivots_15m_7:
    Array
    (
        [time] => 2026-06-18 14:30:00
        [price] => 209.02
        [kind] => low
        [label] => HL
    )
    
  82. pivots_15m_8:
    Array
    (
        [time] => 2026-06-18 15:45:00
        [price] => 208.06
        [kind] => low
        [label] => LL
    )
    
  83. pivots_15m_9:
    Array
    (
        [time] => 2026-06-18 16:30:00
        [price] => 211.42
        [kind] => high
        [label] => HH
    )
    
  84. pivots_15m_10:
    Array
    (
        [time] => 2026-06-18 19:00:00
        [price] => 209.41
        [kind] => low
        [label] => HL
    )
    
  85. pivots_15m_11:
    Array
    (
        [time] => 2026-06-18 19:45:00
        [price] => 211.56
        [kind] => high
        [label] => LH
    )
    
  86. pivots_15m_12:
    Array
    (
        [time] => 2026-06-18 20:15:00
        [price] => 210.2
        [kind] => low
        [label] => HL
    )
    
  87. pivots_15m_13:
    Array
    (
        [time] => 2026-06-18 21:45:00
        [price] => 211.04
        [kind] => high
        [label] => LH
    )
    
  88. pivots_15m_14:
    Array
    (
        [time] => 2026-06-18 22:30:00
        [price] => 210.15
        [kind] => low
        [label] => HL
    )
    
  89. pivots_15m_15:
    Array
    (
        [time] => 2026-06-19 00:00:00
        [price] => 210.8
        [kind] => high
        [label] => LH
    )
    
  90. pivots_15m_16:
    Array
    (
        [time] => 2026-06-19 05:30:00
        [price] => 208.48
        [kind] => low
        [label] => LL
    )
    
  91. bos_level_long : 210.16
  92. bos_level_short : 0
  93. strategy_details
  94. levels_hl_price:
    208.06
  95. levels_hl_timestamp: 2026-06-18 15:00:00
  96. levels_hh_price:
    211.56
  97. levels_lh_price:
    211.56
  98. levels_lh_timestamp: 2026-06-18 19:00:00
  99. levels_ll_price:
    208.06
  100. strategy_details
  101. demand_zone_top:
    210.16
  102. demand_zone_bottom:
    207.92
  103. demand_zone_mid:
    209.04
  104. demand_zone_freshness: weak
  105. demand_zone_strength:
    0.9459
  106. supply_zone :
  107. ¸
  108. regimes
  109. 1H : range_medium
  110. 15m : range_low
  111. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.158
Persistence
0.500
High Δ ATR
1.622
Low Δ ATR
2.954

Current Swing

Amp ATR
3.001
Speed
0.750
Efficiency
0.462

Structure

Retracement
1.667
Extension
0.753
Compression
0.908
Entropy
1.000
Breakout Str.
-1.170
Dist High ATR
-2.792
Dist Low ATR
1.263
13 pivots · 12 swings · Last pivot: ↑ 211.5600 @ bar 50

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

↑ bid ws_rolling 5 snapshots 6997ms Confidence avant OB : 72%87%

Order Book Imbalance

OBI Top 5 0.793
avg 0.793 ± 0.000
OBI Top 10 0.793

Microstructure

Mid Price
209.1950
Micro Price
209.1920
Spread
0.0048%

📌 Time Data

Start at Closed at Duration
19 Jun 2026
02:05:20

4 weeks

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
209.15 207.9852 212.062 2.5 209.38
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 209.15
  • Stop Loss: 207.9852
  • Take Profit: 212.062

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 207.9852 - 209.15 = -1.1648

  • Récompense (distance jusqu'au take profit):

    E - TP = 209.15 - 212.062 = -2.912

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.912 / -1.1648 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1436.4826 100 6.8682 14.36
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 -1.1648

Taille de position = 8 / -1.1648 = -6.87

Taille de position USD = -6.87 x 209.15 = -1436.86

Donc, tu peux acheter -6.87 avec un stoploss a 207.9852

Avec un position size USD de -1436.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6.87 x -1.1648 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6.87 x -2.912 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -6.87
  • Taille de position USD -1436.86
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.39 % 20 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
0 $ 0.11
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
#76 / 105 OUT
seuil : top 15
Signal Confidence
87 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime