01 Jun 2026 at 07:07:50

Short Trade on XAU (BosPullback)

With 0.33 XAU at 4507.69$ per unit. Take profit: 4447.3999 (1.34 %) & Stop Loss: 4531.8061 (0.53 %)

Short BosPullback on XAU (01 Jun 2026 at 07:07:50 to 01:30:00 - 18 hours )

With 0.3317 XAU at 4507.69$ per unit.

Position size of 1495.3327 $
Take profit at 4447.3999 (1.34 %) and Stop Loss at 4531.8061 (0.53 %)

That's a 2.5 RR Trade
Duration: 18 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.97
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

rules_regime : bear_medium

rules_regime_5m : bear_low

Score : 3

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

01/06 07:01

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 ↔ neutral range range strong grind compression range_medium
49%
01/06 08:00
1h ↓ down transition bearish_transition strong grind volatile_reversal range_low
42%
01/06 10:00
15m ↓ down transition bearish_transition strong explosive normal range_low
51%
01/06 10:45
5m ↔ neutral range range strong explosive compression range_low
49%
01/06 10:55

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=1.04|prog=0.68|zone=tested
  4. stop_price: 4531.80605072
  5. tp_price: 4447.3998732
  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 : pullback_down
  11. confidence : 1
  12. trend_strength : -0.2221
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.0413
  15. low_delta_atr : -1.5279
  16. current_swing_amp_atr : 3.1425
  17. current_swing_speed : 0.78562
  18. current_swing_efficiency : 0.4405
  19. retracement_ratio : 1.9407
  20. extension_ratio : 0.8599
  21. compression_score : 0.9464
  22. swing_entropy : 1
  23. breakout_strength : 0.5191
  24. distance_to_last_high_atr : -2.1432
  25. distance_to_last_low_atr : 1.0089
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    4497
  31. last_pivot_index:
    147
  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 : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.594
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2556
  49. scores_strength_score:
    0.5893
  50. scores_quality_score:
    0.2894
  51. scores_cleanliness_score:
    0.1735
  52. scores_structural_quality:
    0.3842
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.47
  55. scores_continuation_score:
    0.3362
  56. scores_structure_score:
    0.3161
  57. scores_volatility_expansion:
    0.94
  58. scores_momentum_type_score:
    0.5526
  59. scores_risk_score:
    0.5973
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1736
  62. features_ema50_slope:
    -0.0872
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.2688
  65. features_price_vs_ema50:
    -1.895
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6529
  72. features_trend_efficiency:
    0.4405
  73. features_impulse_strength:
    4.528
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.9407
  76. features_pullback_depth_atr:
    3.7899
  77. features_extension_from_mean:
    -1.895
  78. features_impulse_decay_score:
    0.57
  79. features_opposing_wick_pressure:
    0.3049
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    1.8409
  82. features_body_ratio:
    0.4282
  83. features_closes_position_ratio:
    0.3833
  84. features_slope_consistency:
    0.8282
  85. features_range_position:
    0.5973
  86. features_distance_to_recent_high:
    -7.354
  87. features_distance_to_recent_low:
    10.9082
  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 : -0.1795
  99. obi_top10 : -0.1795
  100. micro_price : 4507.71977032
  101. spread_pct : 0.000222
  102. mid_price : 4507.715
  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 : -0.1334
  111. obi_top5_std : 0.0335
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7085
  115. aggregation_tick : 10
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 11:00:00
        [price] => 4431.26
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 4471.06
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 22:00:00
        [price] => 4471.49
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 4373.54
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 4526.66
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-29 03:00:00
        [price] => 4501
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-29 10:00:00
        [price] => 4548.28
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-29 12:00:00
        [price] => 4519.16
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 4598.13
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 4536.01
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 01:00:00
        [price] => 4544.16
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 04:00:00
        [price] => 4536.62
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 05:00:00
        [price] => 4552.19
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 4542.69
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 4550.84
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 4525
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 4552.03
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 4513.19
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 05:00:00
        [price] => 4530.4
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 09:00:00
        [price] => 4497
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 10:15:00
        [price] => 4547.35
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 10:45:00
        [price] => 4543.71
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 4550.84
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 4544.2
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 14:30:00
        [price] => 4548.88
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 4548.79
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 20:15:00
        [price] => 4540.32
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 20:30:00
        [price] => 4543.19
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 21:30:00
        [price] => 4547
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 4525
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 4552.03
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-01 01:45:00
        [price] => 4529.37
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-01 02:15:00
        [price] => 4540.31
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-01 04:45:00
        [price] => 4513.19
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-01 05:45:00
        [price] => 4530.4
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-01 08:15:00
        [price] => 4497.54
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-01 09:15:00
        [price] => 4512.99
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-01 09:30:00
        [price] => 4497
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 4513.19
  163. strategy_details
  164. levels_hl_price:
    4497
  165. levels_hl_timestamp: 2026-06-01 09:00:00
  166. levels_hh_price:
    4530.4
  167. levels_lh_price:
    4530.4
  168. levels_lh_timestamp: 2026-06-01 05:00:00
  169. levels_ll_price:
    4497
  170. strategy_details
  171. demand_zone_top:
    4526.66
  172. demand_zone_bottom:
    4498.51
  173. demand_zone_mid:
    4512.585
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.6768
  176. strategy_details
  177. supply_zone_top:
    4531.37
  178. supply_zone_bottom:
    4513.19
  179. supply_zone_mid:
    4522.28
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.8673
  182. ¸
  183. regimes
  184. 1H : range_low
  185. 15m : range_low
  186. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 07:07 4507.69000000 0%
2 08:24 4509.82000000 +0.047%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 100%

Trend

Trend Strength
-0.222
Persistence
0.500
High Δ ATR
-2.041
Low Δ ATR
-1.528

Current Swing

Amp ATR
3.143
Speed
0.786
Efficiency
0.441

Structure

Retracement
1.941
Extension
0.860
Compression
0.946
Entropy
1.000
Breakout Str.
0.519
Dist High ATR
-2.143
Dist Low ATR
1.009
27 pivots · 26 swings · Last pivot: ↓ 4,497.0000 @ bar 147

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 59%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.256
Strength Score 0.589
Quality Score 0.289
Cleanliness Score 0.174
Structural Quality 0.384
Pullback Score 1.000
Exhaustion Score 0.470
Continuation Score 0.336
Structure Score 0.316
Volatility Expansion 0.940
Momentum Type Score 0.553
Risk Score 0.597
Features
Ema20 Slope
-0.174
Ema50 Slope
-0.087
Ema Alignment Score
0.000
Price Vs Ema20
-1.269
Price Vs Ema50
-1.895
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.653
Trend Efficiency
0.441
Impulse Strength
4.528
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.941
Pullback Depth Atr
3.790
Extension From Mean
-1.895
Impulse Decay Score
0.570
Opposing Wick Pressure
0.305
Volatility Percentile
0.900
Volatility Delta
1.841
Body Ratio
0.428
Closes Position Ratio
0.383
Slope Consistency
0.828
Range Position
0.597
Distance To Recent High
-7.354
Distance To Recent Low
10.908
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7085ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.180
avg -0.133 ± 0.034
OBI Top 10 -0.180

Microstructure

Mid Price
4,507.7150
Micro Price
4,507.7198
Spread
0.0002%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
07:07:50
02 Jun 2026
01:30:00
18 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4507.69 4531.8061 4447.3999 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 4507.69
  • Stop Loss: 4531.8061
  • Take Profit: 4447.3999

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4531.8061 - 4507.69 = 24.1161

  • Récompense (distance jusqu'au take profit):

    E - TP = 4507.69 - 4447.3999 = 60.290099999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 60.290099999999 / 24.1161 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1495.3327 100 0.3317 14.95
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 24.1161

Taille de position = 8 / 24.1161 = 0.33

Taille de position USD = 0.33 x 4507.69 = 1487.54

Donc, tu peux acheter 0.33 avec un stoploss a 4531.8061

Avec un position size USD de 1487.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.33 x 24.1161 = 7.96

Si Stop Loss atteint, tu perdras 7.96$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.33 x 60.290099999999 = 19.9

Si Take Profit atteint, tu gagneras 19.9$

Résumé

  • Taille de position 0.33
  • Taille de position USD 1487.54
  • Perte potentielle 7.96
  • Gain potentiel 19.9
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.34 % 20 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
-8 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5837 % 109.1 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.79
            [max_drawdown] => 11.8
            [rr_ratio] => 0.41
            [high] => 4519.49000000
            [low] => 4502.90000000
            [mfe_pct] => 0.11
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T07:07:50-04:00
            [end_at] => 2026-06-01T09:07:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 51.969999999999
            [max_drawdown] => 11.8
            [rr_ratio] => 4.4
            [high] => 4519.49000000
            [low] => 4455.72000000
            [mfe_pct] => 1.15
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 4.4
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T07:07:50-04:00
            [end_at] => 2026-06-01T14:07:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4516.97000000
            [high_after] => 4519.49000000
            [low_before] => 4497.00000000
            [low_after] => 4455.72000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

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