19 Jun 2026 at 02:09:37

Long Trade on WLD (BosPullback)

With 227.17 WLD at 0.636$ per unit. Take profit: 0.7245 (13.83 %) & Stop Loss: 0.6013 (5.53 %)

Long BosPullback on WLD (19 Jun 2026 at 02:09:37 to 06:30:00 - 4 hours )

With 227.1657 WLD at 0.6365$ per unit.

Position size of 144.591 $
Take profit at 0.7245 (13.83 %) and Stop Loss at 0.6013 (5.53 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 6.43
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 : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate grind compression bull_high
87%
19/06 04:00
1h ↔ neutral range range moderate fading normal bull_high
76%
19/06 04:00
15m ↔ neutral range range strong balanced expansion_after_compression range_high
45%
19/06 05:00
5m ↓ down transition bearish_transition moderate grind compression bear_high
72%
19/06 05:20

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=6|retests=1|break_atr=1.06|prog=0.55|zone=weak
  4. stop_price: 0.60128342
  5. tp_price: 0.72454146
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : range
  11. confidence : 0.961
  12. trend_strength : -0.0193
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.4152
  15. low_delta_atr : -0.5189
  16. current_swing_amp_atr : 3.6235
  17. current_swing_speed : 0.45294
  18. current_swing_efficiency : 0.3969
  19. retracement_ratio : 1.6522
  20. extension_ratio : 2.1714
  21. compression_score : 1.071
  22. swing_entropy : 1
  23. breakout_strength : -0.2005
  24. distance_to_last_high_atr : -1.6156
  25. distance_to_last_low_atr : 1.9694
  26. pivot_count : 13
  27. swing_count : 12
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.6639
  31. last_pivot_index:
    55
  32. ¸
  33. trend_analyzer_1h
  34. ¸
  35. orderbook_context
  36. obi_top5 : -0.089
  37. obi_top10 : -0.0189
  38. micro_price : 0.63661537
  39. spread_pct : 0.015708
  40. mid_price : 0.63665
  41. bid_wall_price : 0.632
  42. bid_wall_size : 434089
  43. bid_wall_dist_atr :
  44. ask_wall_price : 0.638
  45. ask_wall_size : 430608
  46. ask_wall_dist_atr :
  47. snapshots_count : 5
  48. obi_top5_mean : -0.0939
  49. obi_top5_std : 0.0175
  50. pressure_side : neutral
  51. collection_mode : ws_rolling
  52. collection_ms : 6998
  53. aggregation_tick : 0.001
  54. error :
  55. ¸
  56. strategy_details
  57. strategy : bos_pullback
  58. ms_state_1h : range
  59. strategy_details
  60. pivots_1h_0:
    Array
    (
        [time] => 2026-06-17 01:00:00
        [price] => 0.7235
        [kind] => high
        [label] => 
    )
    
  61. pivots_1h_1:
    Array
    (
        [time] => 2026-06-17 03:00:00
        [price] => 0.6672
        [kind] => low
        [label] => 
    )
    
  62. pivots_1h_2:
    Array
    (
        [time] => 2026-06-17 06:00:00
        [price] => 0.7003
        [kind] => high
        [label] => 
    )
    
  63. pivots_1h_3:
    Array
    (
        [time] => 2026-06-17 09:00:00
        [price] => 0.64
        [kind] => low
        [label] => LL
    )
    
  64. pivots_1h_4:
    Array
    (
        [time] => 2026-06-17 17:00:00
        [price] => 0.6858
        [kind] => high
        [label] => LH
    )
    
  65. pivots_1h_5:
    Array
    (
        [time] => 2026-06-17 22:00:00
        [price] => 0.6337
        [kind] => low
        [label] => LL
    )
    
  66. pivots_1h_6:
    Array
    (
        [time] => 2026-06-18 01:00:00
        [price] => 0.6718
        [kind] => high
        [label] => LH
    )
    
  67. pivots_1h_7:
    Array
    (
        [time] => 2026-06-18 06:00:00
        [price] => 0.6068
        [kind] => low
        [label] => LL
    )
    
  68. pivots_1h_8:
    Array
    (
        [time] => 2026-06-18 08:00:00
        [price] => 0.6384
        [kind] => high
        [label] => LH
    )
    
  69. pivots_1h_9:
    Array
    (
        [time] => 2026-06-18 11:00:00
        [price] => 0.6119
        [kind] => low
        [label] => HL
    )
    
  70. pivots_1h_10:
    Array
    (
        [time] => 2026-06-18 12:00:00
        [price] => 0.6399
        [kind] => high
        [label] => LH
    )
    
  71. pivots_1h_11:
    Array
    (
        [time] => 2026-06-18 16:00:00
        [price] => 0.6031
        [kind] => low
        [label] => LL
    )
    
  72. pivots_1h_12:
    Array
    (
        [time] => 2026-06-19 00:00:00
        [price] => 0.6639
        [kind] => high
        [label] => HH
    )
    
  73. strategy_details
  74. pivots_15m_0:
    Array
    (
        [time] => 2026-06-18 05:15:00
        [price] => 0.6264
        [kind] => high
        [label] => 
    )
    
  75. pivots_15m_1:
    Array
    (
        [time] => 2026-06-18 06:15:00
        [price] => 0.6068
        [kind] => low
        [label] => 
    )
    
  76. pivots_15m_2:
    Array
    (
        [time] => 2026-06-18 08:30:00
        [price] => 0.6384
        [kind] => high
        [label] => 
    )
    
  77. pivots_15m_3:
    Array
    (
        [time] => 2026-06-18 11:15:00
        [price] => 0.6119
        [kind] => low
        [label] => HL
    )
    
  78. pivots_15m_4:
    Array
    (
        [time] => 2026-06-18 12:45:00
        [price] => 0.6399
        [kind] => high
        [label] => LH
    )
    
  79. pivots_15m_5:
    Array
    (
        [time] => 2026-06-18 16:30:00
        [price] => 0.6031
        [kind] => low
        [label] => LL
    )
    
  80. pivots_15m_6:
    Array
    (
        [time] => 2026-06-18 16:45:00
        [price] => 0.6264
        [kind] => high
        [label] => LH
    )
    
  81. pivots_15m_7:
    Array
    (
        [time] => 2026-06-18 18:00:00
        [price] => 0.6093
        [kind] => low
        [label] => HL
    )
    
  82. pivots_15m_8:
    Array
    (
        [time] => 2026-06-18 20:45:00
        [price] => 0.6491
        [kind] => high
        [label] => HH
    )
    
  83. pivots_15m_9:
    Array
    (
        [time] => 2026-06-18 21:15:00
        [price] => 0.6304
        [kind] => low
        [label] => HL
    )
    
  84. pivots_15m_10:
    Array
    (
        [time] => 2026-06-18 22:15:00
        [price] => 0.6466
        [kind] => high
        [label] => LH
    )
    
  85. pivots_15m_11:
    Array
    (
        [time] => 2026-06-18 23:30:00
        [price] => 0.6321
        [kind] => low
        [label] => HL
    )
    
  86. pivots_15m_12:
    Array
    (
        [time] => 2026-06-19 00:15:00
        [price] => 0.6639
        [kind] => high
        [label] => HH
    )
    
  87. pivots_15m_13:
    Array
    (
        [time] => 2026-06-19 02:30:00
        [price] => 0.6362
        [kind] => low
        [label] => HL
    )
    
  88. pivots_15m_14:
    Array
    (
        [time] => 2026-06-19 03:00:00
        [price] => 0.6541
        [kind] => high
        [label] => LH
    )
    
  89. pivots_15m_15:
    Array
    (
        [time] => 2026-06-19 04:45:00
        [price] => 0.6212
        [kind] => low
        [label] => LL
    )
    
  90. bos_level_long : 0.6399
  91. bos_level_short : 0
  92. strategy_details
  93. levels_hl_price:
    0.6031
  94. levels_hl_timestamp: 2026-06-18 16:00:00
  95. levels_hh_price:
    0.6639
  96. levels_lh_price:
    0.6639
  97. levels_lh_timestamp: 2026-06-19 00:00:00
  98. levels_ll_price:
    0.6031
  99. strategy_details
  100. demand_zone_top:
    0.6349
  101. demand_zone_bottom:
    0.6031
  102. demand_zone_mid:
    0.619
  103. demand_zone_freshness: weak
  104. demand_zone_strength:
    0.7421
  105. strategy_details
  106. supply_zone_top:
    0.6718
  107. supply_zone_bottom:
    0.6486
  108. supply_zone_mid:
    0.6602
  109. supply_zone_freshness: weak
  110. supply_zone_strength:
    0.9162
  111. ¸
  112. regimes
  113. 1H : bear_high
  114. 15m : range_high
  115. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 96%

Trend

Trend Strength
-0.019
Persistence
0.500
High Δ ATR
1.415
Low Δ ATR
-0.519

Current Swing

Amp ATR
3.624
Speed
0.453
Efficiency
0.397

Structure

Retracement
1.652
Extension
2.171
Compression
1.071
Entropy
1.000
Breakout Str.
-0.201
Dist High ATR
-1.616
Dist Low ATR
1.969
13 pivots · 12 swings · Last pivot: ↑ 0.6639 @ bar 55

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

→ neutral ws_rolling 5 snapshots 6998ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.089
avg -0.094 ± 0.018
OBI Top 10 -0.019

Microstructure

Mid Price
0.6367
Micro Price
0.6366
Spread
0.0157%

↑ Bid Wall (Support)

Price
0.6320
Size
434,089.00

↓ Ask Wall (Resistance)

Price
0.6380
Size
430,608.00

📌 Time Data

Start at Closed at Duration
19 Jun 2026
02:09:37
19 Jun 2026
06:30:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6365 0.6013 0.7245 2.5 0.6049
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 0.6365
  • Stop Loss: 0.6013
  • Take Profit: 0.7245

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6013 - 0.6365 = -0.0352

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6365 - 0.7245 = -0.088

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.088 / -0.0352 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
144.591 100 227.1657 1.45
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 -0.0352

Taille de position = 8 / -0.0352 = -227.27

Taille de position USD = -227.27 x 0.6365 = -144.66

Donc, tu peux acheter -227.27 avec un stoploss a 0.6013

Avec un position size USD de -144.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -227.27 x -0.0352 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -227.27 x -0.088 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -227.27
  • Taille de position USD -144.66
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
13.83 % 19.99 $
SL % Target SL $ Target
5.53 % 8 $
PNL PNL %
-8 $ -5.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.4572 % 116.76 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7245
            [entry_price] => 0.6365
            [stop_loss] => 0.59778
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-19 10:30:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7245
            [entry_price] => 0.6365
            [stop_loss] => 0.59426
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-19 10:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.0014999999999999
            [rr_ratio] => 20.67
            [high] => 0.66750000
            [low] => 0.63500000
            [mfe_pct] => 4.87
            [mae_pct] => 0.24
            [mfe_mae_ratio] => 20.67
            [candles_analyzed] => 24
            [start_at] => 2026-06-19T02:09:37-04:00
            [end_at] => 2026-06-19T04:09:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.0433
            [rr_ratio] => 0.72
            [high] => 0.66750000
            [low] => 0.59320000
            [mfe_pct] => 4.87
            [mae_pct] => 6.8
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 69
            [start_at] => 2026-06-19T02:09:37-04:00
            [end_at] => 2026-06-19T09:09:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.65410000
            [high_after] => 0.66750000
            [low_before] => 0.62120000
            [low_after] => 0.59320000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#95 / 105 OUT
seuil : top 15
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime