03 Jun 2026 at 15:06:50

Long Trade on WLD (BosPullback)

With 170.71 WLD at 0.528$ per unit. Take profit: 0.6448 (22.21 %) & Stop Loss: 0.4807 (8.89 %)

Long BosPullback on WLD (03 Jun 2026 at 15:06:50 to 22:00:00 - 6 hours )

With 170.7136 WLD at 0.5276$ per unit.

Position size of 90.0685 $
Take profit at 0.6448 (22.21 %) and Stop Loss at 0.4807 (8.89 %)

That's a 2.5 RR Trade
Duration: 6 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.77
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

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

03/06 15:04

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 12:00
1h ↑ up transition bullish_transition moderate fading volatile_reversal bull_high_confirmed
71%
03/06 18:00
15m ↔ neutral transition bearish_transition moderate grind compression bull_high
66%
03/06 18:30
5m ↑ up transition bullish_transition moderate fading compression bull_high
75%
03/06 19:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=3|retests=1|break_atr=0.66|prog=0.74|zone=tested
  4. stop_price: 0.4807379
  5. tp_price: 0.64475524
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 0.0659
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.8122
  15. low_delta_atr : 4.7149
  16. current_swing_amp_atr : 2.5366
  17. current_swing_speed : 0.63415
  18. current_swing_efficiency : 0.4444
  19. retracement_ratio : 1.4501
  20. extension_ratio : 0.4013
  21. compression_score : 1.1929
  22. swing_entropy : 1
  23. breakout_strength : 0.1317
  24. distance_to_last_high_atr : -0.6805
  25. distance_to_last_low_atr : 1.936
  26. pivot_count : 28
  27. swing_count : 27
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.5431
  31. last_pivot_index:
    146
  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 : high
  41. momentum_type : fading
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.509
  46. state : up_bullish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7293
  49. scores_strength_score:
    0.645
  50. scores_quality_score:
    0.3073
  51. scores_cleanliness_score:
    0.2183
  52. scores_structural_quality:
    0.38
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.6813
  55. scores_continuation_score:
    0.4623
  56. scores_structure_score:
    0.6565
  57. scores_volatility_expansion:
    0.88
  58. scores_momentum_type_score:
    0.6917
  59. scores_risk_score:
    0.94
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.2294
  62. features_ema50_slope:
    0.1536
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.7502
  65. features_price_vs_ema50:
    3.4424
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5633
  72. features_trend_efficiency:
    0.4444
  73. features_impulse_strength:
    6.7873
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    1.4501
  76. features_pullback_depth_atr:
    2.7372
  77. features_extension_from_mean:
    3.4424
  78. features_impulse_decay_score:
    0.7994
  79. features_opposing_wick_pressure:
    0.2413
  80. features_volatility_percentile:
    0.8
  81. features_volatility_delta:
    0.4244
  82. features_body_ratio:
    0.5419
  83. features_closes_position_ratio:
    0.671
  84. features_slope_consistency:
    0.9506
  85. features_range_position:
    0.94
  86. features_distance_to_recent_high:
    -0.6502
  87. features_distance_to_recent_low:
    10.1892
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : 0.0999
  99. obi_top10 : 0.0529
  100. micro_price : 0.5283867
  101. spread_pct : 0.018929
  102. mid_price : 0.52835
  103. bid_wall_price : 0.517
  104. bid_wall_size : 625206
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0705
  111. obi_top5_std : 0.0433
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7122
  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 01:00:00
        [price] => 0.2847
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-30 02:00:00
        [price] => 0.3003
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 0.2851
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 16:00:00
        [price] => 0.3597
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-30 17:00:00
        [price] => 0.3383
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-30 20:00:00
        [price] => 0.3809
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 0.3304
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 0.3498
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 0.316
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 0.3388
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 0.4065
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-01 06:00:00
        [price] => 0.3748
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-01 12:00:00
        [price] => 0.3641
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-02 05:00:00
        [price] => 0.4831
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-02 15:00:00
        [price] => 0.3944
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-02 17:00:00
        [price] => 0.4244
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-02 23:00:00
        [price] => 0.3761
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-03 11:00:00
        [price] => 0.5246
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-03 12:00:00
        [price] => 0.4835
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-03 16:00:00
        [price] => 0.5431
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-02 18:15:00
        [price] => 0.4197
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-02 19:30:00
        [price] => 0.3952
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-02 19:45:00
        [price] => 0.4077
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-02 21:30:00
        [price] => 0.4131
        [kind] => high
        [label] => HH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-02 23:15:00
        [price] => 0.3761
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-03 01:15:00
        [price] => 0.4065
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-03 02:00:00
        [price] => 0.3877
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-03 03:00:00
        [price] => 0.3994
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-03 03:45:00
        [price] => 0.3818
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-03 07:45:00
        [price] => 0.4586
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-03 08:15:00
        [price] => 0.4416
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-03 10:30:00
        [price] => 0.5187
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-03 10:45:00
        [price] => 0.4921
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-03 12:00:00
        [price] => 0.4835
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-03 13:30:00
        [price] => 0.5396
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-03 14:15:00
        [price] => 0.5125
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-03 15:30:00
        [price] => 0.5379
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-03 16:00:00
        [price] => 0.5044
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-03 16:45:00
        [price] => 0.5431
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-03 18:15:00
        [price] => 0.5062
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 0.5246
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.4835
  167. levels_hl_timestamp: 2026-06-03 12:00:00
  168. levels_hh_price:
    0.5431
  169. levels_lh_price:
    0.5431
  170. levels_lh_timestamp: 2026-06-03 16:00:00
  171. levels_ll_price:
    0.4835
  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 100%

Trend

Trend Strength
0.066
Persistence
0.500
High Δ ATR
0.812
Low Δ ATR
4.715

Current Swing

Amp ATR
2.537
Speed
0.634
Efficiency
0.444

Structure

Retracement
1.450
Extension
0.401
Compression
1.193
Entropy
1.000
Breakout Str.
0.132
Dist High ATR
-0.681
Dist Low ATR
1.936
28 pivots · 27 swings · Last pivot: ↑ 0.5431 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_fading
Confidence 51%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion high
momentum fading
volatility volatile_reversal
risk approaching_resistance
htf unknown
Scores
Direction Score 0.729
Strength Score 0.645
Quality Score 0.307
Cleanliness Score 0.218
Structural Quality 0.380
Pullback Score 1.000
Exhaustion Score 0.681
Continuation Score 0.462
Structure Score 0.657
Volatility Expansion 0.880
Momentum Type Score 0.692
Risk Score 0.940
Features
Ema20 Slope
0.229
Ema50 Slope
0.154
Ema Alignment Score
1.000
Price Vs Ema20
1.750
Price Vs Ema50
3.442
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.563
Trend Efficiency
0.444
Impulse Strength
6.787
Directional Candle Ratio
0.700
Pullback Depth Ratio
1.450
Pullback Depth Atr
2.737
Extension From Mean
3.442
Impulse Decay Score
0.799
Opposing Wick Pressure
0.241
Volatility Percentile
0.800
Volatility Delta
0.424
Body Ratio
0.542
Closes Position Ratio
0.671
Slope Consistency
0.951
Range Position
0.940
Distance To Recent High
-0.650
Distance To Recent Low
10.189
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7122ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.100
avg 0.071 ± 0.043
OBI Top 10 0.053

Microstructure

Mid Price
0.5284
Micro Price
0.5284
Spread
0.0189%

↑ Bid Wall (Support)

Price
0.5170
Size
625,206.00

📌 Time Data

Start at Closed at Duration
03 Jun 2026
15:06:50
03 Jun 2026
22:00:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5276 0.4807 0.6448 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 0.5276
  • Stop Loss: 0.4807
  • Take Profit: 0.6448

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4807 - 0.5276 = -0.0469

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5276 - 0.6448 = -0.1172

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1172 / -0.0469 = 2.4989

📌 Position Size

Amount Margin Quantity Leverage
90.0685 90.0685 170.7136 1.00
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 -0.0469

Taille de position = 8 / -0.0469 = -170.58

Taille de position USD = -170.58 x 0.5276 = -90

Donc, tu peux acheter -170.58 avec un stoploss a 0.4807

Avec un position size USD de -90$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -170.58 x -0.0469 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -170.58 x -0.1172 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -170.58
  • Taille de position USD -90
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4989

📌 Peformances

TP % Target TP $ Target
22.21 % 20.01 $
SL % Target SL $ Target
8.89 % 8.01 $
PNL PNL %
-8.01 $ -8.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-10.9174 % 122.82 % 25

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0094000000000001
            [max_drawdown] => 0.0199
            [rr_ratio] => 0.47
            [high] => 0.53700000
            [low] => 0.50770000
            [mfe_pct] => 1.78
            [mae_pct] => 3.77
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 24
            [start_at] => 2026-06-03T15:06:50-04:00
            [end_at] => 2026-06-03T17:06:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0383
            [max_drawdown] => 0.0576
            [rr_ratio] => 0.66
            [high] => 0.56590000
            [low] => 0.47000000
            [mfe_pct] => 7.26
            [mae_pct] => 10.92
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 84
            [start_at] => 2026-06-03T15:06:50-04:00
            [end_at] => 2026-06-03T22:06:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.54310000
            [high_after] => 0.56590000
            [low_before] => 0.50440000
            [low_after] => 0.50770000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#26 / n/a OUT
seuil : top 15 · score du 03/06/2026 14:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime