19 Jun 2026 at 01:08:03

Long Trade on WLD (BosPullback)

With 279.64 WLD at 0.63$ per unit. Take profit: 0.7014 (11.35 %) & Stop Loss: 0.6013 (4.54 %)

Long BosPullback on WLD (19 Jun 2026 at 01:08:03 to 06:30:00 - 5 hours )

With 279.6389 WLD at 0.6299$ per unit.

Position size of 176.1446 $
Take profit at 0.7014 (11.35 %) and Stop Loss at 0.6013 (4.54 %)

That's a 2.5 RR Trade
Duration: 5 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 6.61
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 : bear_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

19/06 01:01

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 bear_high
68%
19/06 04:45
5m ↓ down transition bearish_transition moderate grind compression bear_high
73%
19/06 05:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=5|retests=1|break_atr=1.05|prog=0.44|zone=weak
  4. stop_price: 0.60129168
  5. tp_price: 0.7014208
  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 : range
  11. confidence : 0.961
  12. trend_strength : -0.0193
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.4026
  15. low_delta_atr : -0.5143
  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 : -0.5844
  24. distance_to_last_high_atr : -1.9871
  25. distance_to_last_low_atr : 1.5663
  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 : -0.196
  37. obi_top10 : -0.1937
  38. micro_price : 0.62971472
  39. spread_pct : 0.015881
  40. mid_price : 0.62975
  41. bid_wall_price : 0.617
  42. bid_wall_size : 569486
  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 : -0.1458
  49. obi_top5_std : 0.0282
  50. pressure_side : neutral
  51. collection_mode : ws_rolling
  52. collection_ms : 7108
  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 04:15:00
        [price] => 0.6443
        [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. bos_level_long : 0.6399
  90. bos_level_short : 0
  91. strategy_details
  92. levels_hl_price:
    0.6031
  93. levels_hl_timestamp: 2026-06-18 16:00:00
  94. levels_hh_price:
    0.6639
  95. levels_lh_price:
    0.6639
  96. levels_lh_timestamp: 2026-06-19 00:00:00
  97. levels_ll_price:
    0.6031
  98. strategy_details
  99. demand_zone_top:
    0.6349
  100. demand_zone_bottom:
    0.6031
  101. demand_zone_mid:
    0.619
  102. demand_zone_freshness: weak
  103. demand_zone_strength:
    0.7421
  104. strategy_details
  105. supply_zone_top:
    0.6718
  106. supply_zone_bottom:
    0.6486
  107. supply_zone_mid:
    0.6602
  108. supply_zone_freshness: weak
  109. supply_zone_strength:
    0.9162
  110. ¸
  111. regimes
  112. 1H : bear_high
  113. 15m : range_high
  114. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 96%

Trend

Trend Strength
-0.019
Persistence
0.500
High Δ ATR
1.403
Low Δ ATR
-0.514

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.
-0.584
Dist High ATR
-1.987
Dist Low ATR
1.566
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 7108ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.196
avg -0.146 ± 0.028
OBI Top 10 -0.194

Microstructure

Mid Price
0.6298
Micro Price
0.6297
Spread
0.0159%

↑ Bid Wall (Support)

Price
0.6170
Size
569,486.00

📌 Time Data

Start at Closed at Duration
19 Jun 2026
01:08:03
19 Jun 2026
06:30:00
5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6299 0.6013 0.7014 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 0.6299
  • Stop Loss: 0.6013
  • Take Profit: 0.7014

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6013 - 0.6299 = -0.0286

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6299 - 0.7014 = -0.0715

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0715 / -0.0286 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
176.1446 100 279.6389 1.76
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 -0.0286

Taille de position = 8 / -0.0286 = -279.72

Taille de position USD = -279.72 x 0.6299 = -176.2

Donc, tu peux acheter -279.72 avec un stoploss a 0.6013

Avec un position size USD de -176.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -279.72 x -0.0286 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -279.72 x -0.0715 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -279.72
  • Taille de position USD -176.2
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
11.35 % 19.99 $
SL % Target SL $ Target
4.54 % 8 $
PNL PNL %
-8 $ -4.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.4771 % 120.63 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7014
            [entry_price] => 0.6299
            [stop_loss] => 0.59844
            [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] => 0.7014
            [entry_price] => 0.6299
            [stop_loss] => 0.59558
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-19 10:30:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0376
            [max_drawdown] => 0.0039
            [rr_ratio] => 9.64
            [high] => 0.66750000
            [low] => 0.62600000
            [mfe_pct] => 5.97
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 9.64
            [candles_analyzed] => 24
            [start_at] => 2026-06-19T01:08:03-04:00
            [end_at] => 2026-06-19T03:08:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0376
            [max_drawdown] => 0.0367
            [rr_ratio] => 1.02
            [high] => 0.66750000
            [low] => 0.59320000
            [mfe_pct] => 5.97
            [mae_pct] => 5.83
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 81
            [start_at] => 2026-06-19T01:08:03-04:00
            [end_at] => 2026-06-19T08:08:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.65540000
            [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
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime