01 Jun 2026 at 02:30:44

Short Trade on XAU (BosPullback)

With 0.66 XAU at 4519.6$ per unit. Take profit: 4489.3263 (0.67 %) & Stop Loss: 4531.7095 (0.27 %)

Short BosPullback on XAU (01 Jun 2026 at 02:30:44 to 09:10:00 - 6 hours )

With 0.6606 XAU at 4519.6$ per unit.

Position size of 2985.8264 $
Take profit at 4489.3263 (0.67 %) and Stop Loss at 4531.7095 (0.27 %)

That's a 2.5 RR Trade
Duration: 6 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 8
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 : 1

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 02:01

BTC Correlation Coin Market Regime

1H_regime : range_low

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range strong grind compression range_medium
51%
31/05 20:00
1h ↔ neutral range range strong balanced volatile_reversal range_low
40%
01/06 02:00
15m ↓ down transition bearish_transition moderate grind normal range_low
52%
01/06 06:15
5m ↓ down transition bullish_transition moderate balanced volatile_reversal range_low
37%
01/06 06:20

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=2|retests=1|break_atr=0.50|prog=0.63|zone=invalid
  4. stop_price: 4531.70947837
  5. tp_price: 4489.32630408
  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 : impulse_down
  11. confidence : 1
  12. trend_strength : -0.1653
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.3774
  15. low_delta_atr : -1.298
  16. current_swing_amp_atr : 1.9528
  17. current_swing_speed : 1.95284
  18. current_swing_efficiency : 0.7048
  19. retracement_ratio : 0.4431
  20. extension_ratio : 0.6367
  21. compression_score : 1.3586
  22. swing_entropy : 1
  23. breakout_strength : -3.5644
  24. distance_to_last_high_atr : -1.187
  25. distance_to_last_low_atr : 0.7045
  26. pivot_count : 28
  27. swing_count : 27
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    4530.4
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.617
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2879
  49. scores_strength_score:
    0.6908
  50. scores_quality_score:
    0.3557
  51. scores_cleanliness_score:
    0.1783
  52. scores_structural_quality:
    0.5008
  53. scores_pullback_score:
    0.4431
  54. scores_exhaustion_score:
    0.4922
  55. scores_continuation_score:
    0.5675
  56. scores_structure_score:
    0.3661
  57. scores_volatility_expansion:
    0.988
  58. scores_momentum_type_score:
    0.625
  59. scores_risk_score:
    0.6503
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1487
  62. features_ema50_slope:
    -0.0571
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.3974
  65. features_price_vs_ema50:
    -1.5565
  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:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6435
  72. features_trend_efficiency:
    0.7048
  73. features_impulse_strength:
    4.5281
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.4431
  76. features_pullback_depth_atr:
    2.0064
  77. features_extension_from_mean:
    -1.5565
  78. features_impulse_decay_score:
    0.6816
  79. features_opposing_wick_pressure:
    0.3336
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    1.3347
  82. features_body_ratio:
    0.4075
  83. features_closes_position_ratio:
    0.4671
  84. features_slope_consistency:
    0.6118
  85. features_range_position:
    0.6503
  86. features_distance_to_recent_high:
    -7.0997
  87. features_distance_to_recent_low:
    13.205
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  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 : -0.1942
  99. obi_top10 : -0.1942
  100. micro_price : 4519.61464903
  101. spread_pct : 0.000221
  102. mid_price : 4519.615
  103. bid_wall_price :
  104. bid_wall_size :
  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 : -0.1188
  111. obi_top5_std : 0.0911
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7103
  115. aggregation_tick : 10
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 4471.06
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 22:00:00
        [price] => 4471.49
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 4373.54
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 4520.49
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-28 23:00:00
        [price] => 4494.51
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 4526.66
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-29 03:00:00
        [price] => 4501
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-29 10:00:00
        [price] => 4548.28
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 12:00:00
        [price] => 4519.16
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 4598.13
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 4536.01
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 01:00:00
        [price] => 4544.16
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 04:00:00
        [price] => 4536.62
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 05:00:00
        [price] => 4552.19
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 4542.69
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 4550.84
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 4525
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 4552.03
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 4513.19
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 4530.4
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 4548.13
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 06:45:00
        [price] => 4550.85
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 07:45:00
        [price] => 4546.16
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 08:15:00
        [price] => 4549.16
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 09:45:00
        [price] => 4542.69
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 10:00:00
        [price] => 4548.81
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 10:45:00
        [price] => 4543.71
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 4550.84
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 4544.2
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 14:30:00
        [price] => 4548.88
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 4548.79
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-31 20:15:00
        [price] => 4540.32
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-31 20:30:00
        [price] => 4543.19
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-31 21:30:00
        [price] => 4547
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 4525
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 4552.03
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 4529.37
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 02:15:00
        [price] => 4540.31
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 4513.19
        [kind] => low
        [label] => LL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-01 05:45:00
        [price] => 4530.4
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 4525
  165. strategy_details
  166. levels_hl_price:
    4513.19
  167. levels_hl_timestamp: 2026-06-01 04:00:00
  168. levels_hh_price:
    4530.4
  169. levels_lh_price:
    4530.4
  170. levels_lh_timestamp: 2026-06-01 05:00:00
  171. levels_ll_price:
    4513.19
  172. strategy_details
  173. demand_zone_top:
    4526.66
  174. demand_zone_bottom:
    4498.51
  175. demand_zone_mid:
    4512.585
  176. demand_zone_freshness: weak
  177. demand_zone_strength:
    0.677
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : range_low
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 100%

Trend

Trend Strength
-0.165
Persistence
0.500
High Δ ATR
-2.377
Low Δ ATR
-1.298

Current Swing

Amp ATR
1.953
Speed
1.953
Efficiency
0.705

Structure

Retracement
0.443
Extension
0.637
Compression
1.359
Entropy
1.000
Breakout Str.
-3.564
Dist High ATR
-1.187
Dist Low ATR
0.705
28 pivots · 27 swings · Last pivot: ↑ 4,530.4000 @ bar 148

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 62%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion medium
momentum grind
volatility volatile_reversal
risk premium
htf unknown
Scores
Direction Score 0.288
Strength Score 0.691
Quality Score 0.356
Cleanliness Score 0.178
Structural Quality 0.501
Pullback Score 0.443
Exhaustion Score 0.492
Continuation Score 0.568
Structure Score 0.366
Volatility Expansion 0.988
Momentum Type Score 0.625
Risk Score 0.650
Features
Ema20 Slope
-0.149
Ema50 Slope
-0.057
Ema Alignment Score
0.000
Price Vs Ema20
-1.397
Price Vs Ema50
-1.557
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
-1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.644
Trend Efficiency
0.705
Impulse Strength
4.528
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.443
Pullback Depth Atr
2.006
Extension From Mean
-1.557
Impulse Decay Score
0.682
Opposing Wick Pressure
0.334
Volatility Percentile
0.980
Volatility Delta
1.335
Body Ratio
0.408
Closes Position Ratio
0.467
Slope Consistency
0.612
Range Position
0.650
Distance To Recent High
-7.100
Distance To Recent Low
13.205
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7103ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.194
avg -0.119 ± 0.091
OBI Top 10 -0.194

Microstructure

Mid Price
4,519.6150
Micro Price
4,519.6146
Spread
0.0002%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
02:30:44
01 Jun 2026
09:10:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4519.6 4531.7095 4489.3263 2.5 4157.13
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 4519.6
  • Stop Loss: 4531.7095
  • Take Profit: 4489.3263

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4531.7095 - 4519.6 = 12.1095

  • Récompense (distance jusqu'au take profit):

    E - TP = 4519.6 - 4489.3263 = 30.273700000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 30.273700000001 / 12.1095 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
2985.8264 100 0.6606 29.86
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 12.1095

Taille de position = 8 / 12.1095 = 0.66

Taille de position USD = 0.66 x 4519.6 = 2982.94

Donc, tu peux acheter 0.66 avec un stoploss a 4531.7095

Avec un position size USD de 2982.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.66 x 12.1095 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.66 x 30.273700000001 = 19.98

Si Take Profit atteint, tu gagneras 19.98$

Résumé

  • Taille de position 0.66
  • Taille de position USD 2982.94
  • Perte potentielle 7.99
  • Gain potentiel 19.98
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
0.67 % 20 $
SL % Target SL $ Target
0.27 % 8 $
PNL PNL %
20 $ 0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 22.06
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4516.77000000
            [low] => 4497.54000000
            [mfe_pct] => 0.49
            [mae_pct] => -0.06
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T02:30:44-04:00
            [end_at] => 2026-06-01T04:30:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 52.870000000001
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4519.49000000
            [low] => 4466.73000000
            [mfe_pct] => 1.17
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T02:30:44-04:00
            [end_at] => 2026-06-01T09:30:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4536.47000000
            [high_after] => 4519.49000000
            [low_before] => 4511.51000000
            [low_after] => 4497.00000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#45 / n/a OUT
seuil : top 15 · score du 01/06/2026 02:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime