03 Jun 2026 at 20:06:36

Long Trade on WLD (BosPullback)

With 193.8 WLD at 0.545$ per unit. Take profit: 0.6479 (18.95 %) & Stop Loss: 0.5034 (7.58 %)

Long BosPullback on WLD (03 Jun 2026 at 20:06:36 to 22:00:00 - 1 hour )

With 193.8029 WLD at 0.5447$ per unit.

Position size of 105.5644 $
Take profit at 0.6479 (18.95 %) and Stop Loss at 0.5034 (7.58 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.18
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_low

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%
03/06 23:00
15m ↑ up transition bullish_transition moderate grind compression bull_high
80%
03/06 23:45
5m ↔ neutral range range moderate fading compression bull_high
75%
04/06 00:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=0.34|prog=0.64|zone=tested
  4. stop_price: 0.50342095
  5. tp_price: 0.64789763
  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 : 0.62
  12. trend_strength : 0.3006
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.9406
  15. low_delta_atr : 0.9364
  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 : 0.066
  24. distance_to_last_high_atr : -0.8746
  25. distance_to_last_low_atr : 1.5882
  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:
    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 : medium
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.543
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7757
  49. scores_strength_score:
    0.5451
  50. scores_quality_score:
    0.3318
  51. scores_cleanliness_score:
    0.1996
  52. scores_structural_quality:
    0.44
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.5507
  55. scores_continuation_score:
    0.52
  56. scores_structure_score:
    0.7376
  57. scores_volatility_expansion:
    0.892
  58. scores_momentum_type_score:
    0.6743
  59. scores_risk_score:
    0.9246
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1705
  62. features_ema50_slope:
    0.1356
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.5204
  65. features_price_vs_ema50:
    3.2938
  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:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6008
  72. features_trend_efficiency:
    0.4803
  73. features_impulse_strength:
    2.5366
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.6179
  76. features_pullback_depth_atr:
    2.5231
  77. features_extension_from_mean:
    3.2938
  78. features_impulse_decay_score:
    0.4992
  79. features_opposing_wick_pressure:
    0.2514
  80. features_volatility_percentile:
    0.82
  81. features_volatility_delta:
    0.4231
  82. features_body_ratio:
    0.4985
  83. features_closes_position_ratio:
    0.6559
  84. features_slope_consistency:
    0.8965
  85. features_range_position:
    0.9246
  86. features_distance_to_recent_high:
    -0.847
  87. features_distance_to_recent_low:
    10.3876
  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 : 0.0784
  99. obi_top10 : 0.0552
  100. micro_price : 0.5408746
  101. spread_pct : 0.018491
  102. mid_price : 0.54085
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.544
  107. ask_wall_size : 547578.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0609
  111. obi_top5_std : 0.036
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7074
  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] => 2026-06-02 23:15:00
        [price] => 0.3942
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-02 23:30:00
        [price] => 0.3786
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-03 01:15:00
        [price] => 0.4065
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-03 03:45:00
        [price] => 0.3818
        [kind] => low
        [label] => HL
    )
    
  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. bos_level_long : 0.5431
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    0.5062
  166. levels_hl_timestamp: 2026-06-03 18:00:00
  167. levels_hh_price:
    0.5659
  168. levels_lh_price:
    0.5659
  169. levels_lh_timestamp: 2026-06-03 21:00:00
  170. levels_ll_price:
    0.5062
  171. strategy_details
  172. demand_zone_top:
    0.5246
  173. demand_zone_bottom:
    0.4835
  174. demand_zone_mid:
    0.50405
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8056
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

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
0.941
Low Δ ATR
0.936

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.
0.066
Dist High ATR
-0.875
Dist Low ATR
1.588
30 pivots · 29 swings · Last pivot: ↑ 0.5659 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 54%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility expansion_after_compression
risk approaching_resistance
htf unknown
Scores
Direction Score 0.776
Strength Score 0.545
Quality Score 0.332
Cleanliness Score 0.200
Structural Quality 0.440
Pullback Score 1.000
Exhaustion Score 0.551
Continuation Score 0.520
Structure Score 0.738
Volatility Expansion 0.892
Momentum Type Score 0.674
Risk Score 0.925
Features
Ema20 Slope
0.171
Ema50 Slope
0.136
Ema Alignment Score
1.000
Price Vs Ema20
1.520
Price Vs Ema50
3.294
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.601
Trend Efficiency
0.480
Impulse Strength
2.537
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.618
Pullback Depth Atr
2.523
Extension From Mean
3.294
Impulse Decay Score
0.499
Opposing Wick Pressure
0.251
Volatility Percentile
0.820
Volatility Delta
0.423
Body Ratio
0.499
Closes Position Ratio
0.656
Slope Consistency
0.897
Range Position
0.925
Distance To Recent High
-0.847
Distance To Recent Low
10.388
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7074ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 0.078
avg 0.061 ± 0.036
OBI Top 10 0.055

Microstructure

Mid Price
0.5409
Micro Price
0.5409
Spread
0.0185%

↓ Ask Wall (Resistance)

Price
0.5440
Size
547,578.60

📌 Time Data

Start at Closed at Duration
03 Jun 2026
20:06:36
03 Jun 2026
22:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5447 0.5034 0.6479 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 0.5447
  • Stop Loss: 0.5034
  • Take Profit: 0.6479

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5034 - 0.5447 = -0.0413

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5447 - 0.6479 = -0.1032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1032 / -0.0413 = 2.4988

📌 Position Size

Amount Margin Quantity Leverage
105.5644 100 193.8029 1.06
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 -0.0413

Taille de position = 8 / -0.0413 = -193.7

Taille de position USD = -193.7 x 0.5447 = -105.51

Donc, tu peux acheter -193.7 avec un stoploss a 0.5034

Avec un position size USD de -105.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -193.7 x -0.0413 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -193.7 x -0.1032 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -193.7
  • Taille de position USD -105.51
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4988

📌 Peformances

TP % Target TP $ Target
18.95 % 20 $
SL % Target SL $ Target
7.58 % 8 $
PNL PNL %
-8 $ -7.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-13.714 % 180.87 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6479
            [entry_price] => 0.5447
            [stop_loss] => 0.49927
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6479
            [entry_price] => 0.5447
            [stop_loss] => 0.49514
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6479
            [entry_price] => 0.5447
            [stop_loss] => 0.49101
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-04 02:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6479
            [entry_price] => 0.5447
            [stop_loss] => 0.48275
            [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] => 0.0015000000000001
            [max_drawdown] => 0.0747
            [rr_ratio] => 0.02
            [high] => 0.54620000
            [low] => 0.47000000
            [mfe_pct] => 0.28
            [mae_pct] => 13.71
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2026-06-03T20:06:36-04:00
            [end_at] => 2026-06-03T22:06:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0208
            [max_drawdown] => 0.0747
            [rr_ratio] => 0.28
            [high] => 0.56550000
            [low] => 0.47000000
            [mfe_pct] => 3.82
            [mae_pct] => 13.71
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 84
            [start_at] => 2026-06-03T20:06:36-04:00
            [end_at] => 2026-06-04T03:06:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56590000
            [high_after] => 0.56550000
            [low_before] => 0.50770000
            [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
N/A
seuil : top 15 · score du 03/06/2026 19:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime