03 Jun 2026 at 21:03:35

Long Trade on WLD (BosPullback)

With 369.6 WLD at 0.525$ per unit. Take profit: 0.5789 (10.31 %) & Stop Loss: 0.5032 (4.12 %)

Long BosPullback on WLD (03 Jun 2026 at 21:03:35 to 22:00:00 - 56 minutes )

With 369.604 WLD at 0.5248$ per unit.

Position size of 193.9682 $
Take profit at 0.5789 (10.31 %) and Stop Loss at 0.5032 (4.12 %)

That's a 2.5 RR Trade
Duration: 56 minutes

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1
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 : bear_low_vol

rules_regime : bear_high_confirmed

rules_regime_5m : bear_medium

Score : 0

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

03/06 20:04

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 ↑ up transition bullish_transition strong explosive volatile_reversal bull_high_confirmed
74%
03/06 20:00
1h ↑ up transition bullish_transition moderate balanced expansion_after_compression bull_high
85%
04/06 00:00
15m ↑ up range range moderate grind normal bull_high
79%
04/06 00:30
5m ↓ down early_expansion bearish_transition moderate grind expansion bear_high
72%
04/06 01:00

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=0.34|prog=0.31|zone=tested
  4. stop_price: 0.50315521
  5. tp_price: 0.57891197
  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 : 0.618
  12. trend_strength : 0.3006
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.9365
  15. low_delta_atr : 0.9324
  16. current_swing_amp_atr : 2.288
  17. current_swing_speed : 0.76267
  18. current_swing_efficiency : 0.4803
  19. retracement_ratio : 1.6179
  20. extension_ratio : 1.0017
  21. compression_score : 0.5565
  22. swing_entropy : 1
  23. breakout_strength : -0.7517
  24. distance_to_last_high_atr : -1.6882
  25. distance_to_last_low_atr : 0.764
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.5659
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.571
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7725
  49. scores_strength_score:
    0.5276
  50. scores_quality_score:
    0.3322
  51. scores_cleanliness_score:
    0.2056
  52. scores_structural_quality:
    0.4358
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4697
  55. scores_continuation_score:
    0.5431
  56. scores_structure_score:
    0.7376
  57. scores_volatility_expansion:
    0.868
  58. scores_momentum_type_score:
    0.6747
  59. scores_risk_score:
    0.8536
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1497
  62. features_ema50_slope:
    0.1282
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.7386
  65. features_price_vs_ema50:
    2.4449
  66. features_recent_hh_hl_score:
    0.65
  67. features_recent_lh_ll_score:
    0.35
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5889
  72. features_trend_efficiency:
    0.4803
  73. features_impulse_strength:
    2.5366
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.6179
  76. features_pullback_depth_atr:
    2.523
  77. features_extension_from_mean:
    2.4449
  78. features_impulse_decay_score:
    0.4992
  79. features_opposing_wick_pressure:
    0.2242
  80. features_volatility_percentile:
    0.78
  81. features_volatility_delta:
    0.4516
  82. features_body_ratio:
    0.5044
  83. features_closes_position_ratio:
    0.6526
  84. features_slope_consistency:
    0.8884
  85. features_range_position:
    0.8536
  86. features_distance_to_recent_high:
    -1.6483
  87. features_distance_to_recent_low:
    9.6133
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  90. features_post_break_hl_count:
    0
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : -0.0147
  99. obi_top10 : -0.0611
  100. micro_price : 0.52598076
  101. spread_pct : 0.019015
  102. mid_price : 0.52595
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.529
  107. ask_wall_size : 485312.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0384
  111. obi_top5_std : 0.0444
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7900
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 0.2851
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-30 16:00:00
        [price] => 0.3597
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-30 17:00:00
        [price] => 0.3383
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 20:00:00
        [price] => 0.3809
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 0.3304
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 0.3498
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 0.316
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 0.3388
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 0.4065
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-01 06:00:00
        [price] => 0.3748
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 0.3641
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-02 05:00:00
        [price] => 0.4831
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-02 15:00:00
        [price] => 0.3944
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-02 17:00:00
        [price] => 0.4244
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-02 23:00:00
        [price] => 0.3761
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-03 11:00:00
        [price] => 0.5246
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-03 12:00:00
        [price] => 0.4835
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-03 16:00:00
        [price] => 0.5431
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-03 18:00:00
        [price] => 0.5062
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-03 21:00:00
        [price] => 0.5659
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-03 01:15:00
        [price] => 0.4065
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-03 02:00:00
        [price] => 0.3877
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-03 03:00:00
        [price] => 0.3994
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-03 03:45:00
        [price] => 0.3818
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-03 07:45:00
        [price] => 0.4586
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-03 08:15:00
        [price] => 0.4416
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-03 10:30:00
        [price] => 0.5187
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-03 10:45:00
        [price] => 0.4921
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-03 12:00:00
        [price] => 0.4835
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-03 13:30:00
        [price] => 0.5396
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-03 14:15:00
        [price] => 0.5125
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-03 15:30:00
        [price] => 0.5379
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-03 16:00:00
        [price] => 0.5044
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-03 16:45:00
        [price] => 0.5431
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-03 18:15:00
        [price] => 0.5062
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-03 20:00:00
        [price] => 0.537
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-03 20:45:00
        [price] => 0.5077
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-03 21:45:00
        [price] => 0.5659
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-03 23:15:00
        [price] => 0.5244
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-04 00:00:00
        [price] => 0.5508
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0.5431
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.5062
  167. levels_hl_timestamp: 2026-06-03 18:00:00
  168. levels_hh_price:
    0.5659
  169. levels_lh_price:
    0.5659
  170. levels_lh_timestamp: 2026-06-03 21:00:00
  171. levels_ll_price:
    0.5062
  172. strategy_details
  173. demand_zone_top:
    0.5246
  174. demand_zone_bottom:
    0.4835
  175. demand_zone_mid:
    0.50405
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.8056
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : bull_high
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 62%

Trend

Trend Strength
0.301
Persistence
0.500
High Δ ATR
0.937
Low Δ ATR
0.932

Current Swing

Amp ATR
2.288
Speed
0.763
Efficiency
0.480

Structure

Retracement
1.618
Extension
1.002
Compression
0.557
Entropy
1.000
Breakout Str.
-0.752
Dist High ATR
-1.688
Dist Low ATR
0.764
30 pivots · 29 swings · Last pivot: ↑ 0.5659 @ bar 145

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 57%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.773
Strength Score 0.528
Quality Score 0.332
Cleanliness Score 0.206
Structural Quality 0.436
Pullback Score 1.000
Exhaustion Score 0.470
Continuation Score 0.543
Structure Score 0.738
Volatility Expansion 0.868
Momentum Type Score 0.675
Risk Score 0.854
Features
Ema20 Slope
0.150
Ema50 Slope
0.128
Ema Alignment Score
1.000
Price Vs Ema20
0.739
Price Vs Ema50
2.445
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.589
Trend Efficiency
0.480
Impulse Strength
2.537
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.618
Pullback Depth Atr
2.523
Extension From Mean
2.445
Impulse Decay Score
0.499
Opposing Wick Pressure
0.224
Volatility Percentile
0.780
Volatility Delta
0.452
Body Ratio
0.504
Closes Position Ratio
0.653
Slope Consistency
0.888
Range Position
0.854
Distance To Recent High
-1.648
Distance To Recent Low
9.613
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7900ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.015
avg -0.038 ± 0.044
OBI Top 10 -0.061

Microstructure

Mid Price
0.5260
Micro Price
0.5260
Spread
0.0190%

↓ Ask Wall (Resistance)

Price
0.5290
Size
485,312.40

📌 Time Data

Start at Closed at Duration
03 Jun 2026
21:03:35
03 Jun 2026
22:00:00
56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5248 0.5032 0.5789 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 0.5248
  • Stop Loss: 0.5032
  • Take Profit: 0.5789

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5032 - 0.5248 = -0.0216

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5248 - 0.5789 = -0.0541

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0541 / -0.0216 = 2.5046

📌 Position Size

Amount Margin Quantity Leverage
193.9682 100 369.604 1.94
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 -0.0216

Taille de position = 8 / -0.0216 = -370.37

Taille de position USD = -370.37 x 0.5248 = -194.37

Donc, tu peux acheter -370.37 avec un stoploss a 0.5032

Avec un position size USD de -194.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -370.37 x -0.0216 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -370.37 x -0.0541 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position -370.37
  • Taille de position USD -194.37
  • Perte potentielle 8
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5046

📌 Peformances

TP % Target TP $ Target
10.31 % 20 $
SL % Target SL $ Target
4.12 % 7.98 $
PNL PNL %
-7.98 $ -4.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-10.4421 % 253.7 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5789
            [entry_price] => 0.5248
            [stop_loss] => 0.50104
            [rr_ratio] => 2.28
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5789
            [entry_price] => 0.5248
            [stop_loss] => 0.49888
            [rr_ratio] => 2.09
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5789
            [entry_price] => 0.5248
            [stop_loss] => 0.49672
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5789
            [entry_price] => 0.5248
            [stop_loss] => 0.4924
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0376
            [max_drawdown] => 0.0548
            [rr_ratio] => 0.69
            [high] => 0.56240000
            [low] => 0.47000000
            [mfe_pct] => 7.16
            [mae_pct] => 10.44
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 24
            [start_at] => 2026-06-03T21:03:35-04:00
            [end_at] => 2026-06-03T23:03:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0407
            [max_drawdown] => 0.0548
            [rr_ratio] => 0.74
            [high] => 0.56550000
            [low] => 0.47000000
            [mfe_pct] => 7.76
            [mae_pct] => 10.44
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 84
            [start_at] => 2026-06-03T21:03:35-04:00
            [end_at] => 2026-06-04T04:03:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56590000
            [high_after] => 0.56550000
            [low_before] => 0.51560000
            [low_after] => 0.47000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#36 / 109 OUT
seuil : top 15 · score du 03/06/2026 20:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime