17 Jun 2026 at 18:12:03

Long Trade on MRVL (BosPullback)

With 0.62 MRVL at 296.1$ per unit. Take profit: 328.1269 (10.82 %) & Stop Loss: 283.2892 (4.33 %)

Long BosPullback on MRVL (17 Jun 2026 at 18:12:03 to 12:10:00 - 17 hours )

With 0.6245 MRVL at 296.1$ per unit.

Position size of 184.907 $
Take profit at 328.1269 (10.82 %) and Stop Loss at 283.2892 (4.33 %)

That's a 2.5 RR Trade
Duration: 17 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 8
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

17/06 18:01

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 ↔ — bull_high
62%
09/06 12:00
1h ↑ up transition bullish_transition moderate grind compression bull_high
78%
09/06 12:00
15m ↔ — bull_high
56%
17/06 18:30
5m ↓ down transition bearish_transition moderate grind normal range_high
51%
17/06 20:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=4|retests=1|break_atr=1.33|prog=0.50|zone=tested
  4. stop_price: 283.28923638
  5. tp_price: 328.12690906
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 0.947
  12. trend_strength : 0.2312
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.4893
  15. low_delta_atr : 0.8364
  16. current_swing_amp_atr : 4.1516
  17. current_swing_speed : 0.83033
  18. current_swing_efficiency : 0.4635
  19. retracement_ratio : 2.6495
  20. extension_ratio : 1.7047
  21. compression_score : 1.2441
  22. swing_entropy : 1
  23. breakout_strength : 0.4975
  24. distance_to_last_high_atr : -1.9918
  25. distance_to_last_low_atr : 2.0067
  26. pivot_count : 13
  27. swing_count : 12
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    308.15
  31. last_pivot_index:
    53
  32. ¸
  33. trend_analyzer_1h
  34. ¸
  35. orderbook_context
  36. obi_top5 : 0.0687
  37. obi_top10 : 0.0694
  38. micro_price : 296.3152
  39. spread_pct : 0.010125
  40. mid_price : 296.305
  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 : 0.0882
  49. obi_top5_std : 0.0174
  50. pressure_side : neutral
  51. collection_mode : ws_rolling
  52. collection_ms : 7036
  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] => 2026-06-11 19:00:00
        [price] => 282.74
        [kind] => high
        [label] => 
    )
    
  61. pivots_1h_1:
    Array
    (
        [time] => 2026-06-11 20:00:00
        [price] => 271.12
        [kind] => low
        [label] => 
    )
    
  62. pivots_1h_2:
    Array
    (
        [time] => 2026-06-12 00:00:00
        [price] => 287.67
        [kind] => high
        [label] => 
    )
    
  63. pivots_1h_3:
    Array
    (
        [time] => 2026-06-12 06:00:00
        [price] => 269.71
        [kind] => low
        [label] => HL
    )
    
  64. pivots_1h_4:
    Array
    (
        [time] => 2026-06-12 10:00:00
        [price] => 279.96
        [kind] => high
        [label] => LH
    )
    
  65. pivots_1h_5:
    Array
    (
        [time] => 2026-06-12 13:00:00
        [price] => 268.14
        [kind] => low
        [label] => LL
    )
    
  66. pivots_1h_6:
    Array
    (
        [time] => 2026-06-12 15:00:00
        [price] => 288.33
        [kind] => high
        [label] => HH
    )
    
  67. pivots_1h_7:
    Array
    (
        [time] => 2026-06-12 20:00:00
        [price] => 275.63
        [kind] => low
        [label] => HL
    )
    
  68. pivots_1h_8:
    Array
    (
        [time] => 2026-06-16 17:00:00
        [price] => 295.99
        [kind] => high
        [label] => HH
    )
    
  69. pivots_1h_9:
    Array
    (
        [time] => 2026-06-16 20:00:00
        [price] => 278.9
        [kind] => low
        [label] => HL
    )
    
  70. pivots_1h_10:
    Array
    (
        [time] => 2026-06-17 08:00:00
        [price] => 293.09
        [kind] => high
        [label] => LH
    )
    
  71. pivots_1h_11:
    Array
    (
        [time] => 2026-06-17 13:00:00
        [price] => 283.96
        [kind] => low
        [label] => HL
    )
    
  72. pivots_1h_12:
    Array
    (
        [time] => 2026-06-17 18:00:00
        [price] => 308.15
        [kind] => high
        [label] => HH
    )
    
  73. strategy_details
  74. pivots_15m_0:
    Array
    (
        [time] => 2026-06-16 22:15:00
        [price] => 286.02
        [kind] => high
        [label] => 
    )
    
  75. pivots_15m_1:
    Array
    (
        [time] => 2026-06-16 23:45:00
        [price] => 282.34
        [kind] => low
        [label] => 
    )
    
  76. pivots_15m_2:
    Array
    (
        [time] => 2026-06-17 00:30:00
        [price] => 288.69
        [kind] => high
        [label] => 
    )
    
  77. pivots_15m_3:
    Array
    (
        [time] => 2026-06-17 01:30:00
        [price] => 285.2
        [kind] => low
        [label] => HL
    )
    
  78. pivots_15m_4:
    Array
    (
        [time] => 2026-06-17 05:30:00
        [price] => 291.28
        [kind] => high
        [label] => HH
    )
    
  79. pivots_15m_5:
    Array
    (
        [time] => 2026-06-17 06:30:00
        [price] => 289.26
        [kind] => low
        [label] => HL
    )
    
  80. pivots_15m_6:
    Array
    (
        [time] => 2026-06-17 08:00:00
        [price] => 293.09
        [kind] => high
        [label] => HH
    )
    
  81. pivots_15m_7:
    Array
    (
        [time] => 2026-06-17 08:30:00
        [price] => 286.79
        [kind] => low
        [label] => LL
    )
    
  82. pivots_15m_8:
    Array
    (
        [time] => 2026-06-17 09:30:00
        [price] => 289.67
        [kind] => high
        [label] => LH
    )
    
  83. pivots_15m_9:
    Array
    (
        [time] => 2026-06-17 11:45:00
        [price] => 285.12
        [kind] => low
        [label] => LL
    )
    
  84. pivots_15m_10:
    Array
    (
        [time] => 2026-06-17 12:30:00
        [price] => 290.35
        [kind] => high
        [label] => HH
    )
    
  85. pivots_15m_11:
    Array
    (
        [time] => 2026-06-17 13:15:00
        [price] => 287.64
        [kind] => low
        [label] => HL
    )
    
  86. pivots_15m_12:
    Array
    (
        [time] => 2026-06-17 13:45:00
        [price] => 295.87
        [kind] => high
        [label] => HH
    )
    
  87. pivots_15m_13:
    Array
    (
        [time] => 2026-06-17 17:30:00
        [price] => 298.3
        [kind] => high
        [label] => HH
    )
    
  88. pivots_15m_14:
    Array
    (
        [time] => 2026-06-17 18:00:00
        [price] => 290.7
        [kind] => low
        [label] => HL
    )
    
  89. pivots_15m_15:
    Array
    (
        [time] => 2026-06-17 18:30:00
        [price] => 308.15
        [kind] => high
        [label] => HH
    )
    
  90. pivots_15m_16:
    Array
    (
        [time] => 2026-06-17 20:00:00
        [price] => 287.78
        [kind] => low
        [label] => LL
    )
    
  91. bos_level_long : 293.09
  92. bos_level_short : 0
  93. strategy_details
  94. levels_hl_price:
    283.96
  95. levels_hl_timestamp: 2026-06-17 13:00:00
  96. levels_hh_price:
    308.15
  97. levels_lh_price:
    308.15
  98. levels_lh_timestamp: 2026-06-17 18:00:00
  99. levels_ll_price:
    283.96
  100. strategy_details
  101. demand_zone_top:
    287.47
  102. demand_zone_bottom:
    275.63
  103. demand_zone_mid:
    281.55
  104. demand_zone_freshness: tested
  105. demand_zone_strength:
    0.8133
  106. supply_zone :
  107. ¸
  108. regimes
  109. 1H : bull_high
  110. 15m : bull_high
  111. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 95%

Trend

Trend Strength
0.231
Persistence
0.500
High Δ ATR
2.489
Low Δ ATR
0.836

Current Swing

Amp ATR
4.152
Speed
0.830
Efficiency
0.464

Structure

Retracement
2.650
Extension
1.705
Compression
1.244
Entropy
1.000
Breakout Str.
0.498
Dist High ATR
-1.992
Dist Low ATR
2.007
13 pivots · 12 swings · Last pivot: ↑ 308.1500 @ bar 53

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

→ neutral ws_rolling 5 snapshots 7036ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 0.069
avg 0.088 ± 0.017
OBI Top 10 0.069

Microstructure

Mid Price
296.3050
Micro Price
296.3152
Spread
0.0101%

📌 Time Data

Start at Closed at Duration
17 Jun 2026
18:12:03
18 Jun 2026
12:10:00
17 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
296.1 283.2892 328.1269 2.5 306.55
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 296.1
  • Stop Loss: 283.2892
  • Take Profit: 328.1269

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 283.2892 - 296.1 = -12.8108

  • Récompense (distance jusqu'au take profit):

    E - TP = 296.1 - 328.1269 = -32.0269

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -32.0269 / -12.8108 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
184.907 100 0.6245 1.85
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 -12.8108

Taille de position = 8 / -12.8108 = -0.62

Taille de position USD = -0.62 x 296.1 = -183.58

Donc, tu peux acheter -0.62 avec un stoploss a 283.2892

Avec un position size USD de -183.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.62 x -12.8108 = 7.94

Si Stop Loss atteint, tu perdras 7.94$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.62 x -32.0269 = 19.86

Si Take Profit atteint, tu gagneras 19.86$

Résumé

  • Taille de position -0.62
  • Taille de position USD -183.58
  • Perte potentielle 7.94
  • Gain potentiel 19.86
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
10.82 % 20 $
SL % Target SL $ Target
4.33 % 8 $
PNL PNL %
20 $ 10.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1554 % 3.59 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.83
            [max_drawdown] => 0.46000000000004
            [rr_ratio] => 12.67
            [high] => 301.93000000
            [low] => 295.64000000
            [mfe_pct] => 1.97
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 12.67
            [candles_analyzed] => 24
            [start_at] => 2026-06-17T18:12:03-04:00
            [end_at] => 2026-06-17T20:12:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.83
            [max_drawdown] => 0.46000000000004
            [rr_ratio] => 12.67
            [high] => 301.93000000
            [low] => 295.64000000
            [mfe_pct] => 1.97
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 12.67
            [candles_analyzed] => 84
            [start_at] => 2026-06-17T18:12:03-04:00
            [end_at] => 2026-06-18T01:12:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 308.15000000
            [high_after] => 301.93000000
            [low_before] => 287.78000000
            [low_after] => 295.64000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#59 / 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