22 May 2026 at 08:21:41

Long Trade on XAU (BosPullback)

With 0.28 XAU at 4537.5$ per unit. Take profit: 4609.4878 (1.59 %) & Stop Loss: 4508.7049 (0.63 %)

Long BosPullback on XAU (22 May 2026 at 08:21:41 to 10:10:00 - 1 hour )

With 0.2778 XAU at 4537.5$ per unit.

Position size of 1260.6296 $
Take profit at 4609.4878 (1.59 %) and Stop Loss at 4508.7049 (0.63 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.14
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 : range_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bear_medium

tf_aligned :

22/05 08:01

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 ↓ down transition bearish_transition moderate fading normal bear_medium
71%
22/05 04:00
1h ↔ neutral transition bullish_transition moderate grind compression range_low
45%
22/05 07:00
15m ↔ neutral range range strong balanced compression range_low
50%
22/05 08:00
5m ↔ neutral range range strong balanced compression range_low
49%
22/05 08:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=19|retests=1|break_atr=0.56|prog=0.47|zone=weak
  4. stop_price: 4508.7048635
  5. tp_price: 4609.48784125
  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 : 0.595
  12. trend_strength : 0.1151
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.0673
  15. low_delta_atr : 1.0812
  16. current_swing_amp_atr : 3.3304
  17. current_swing_speed : 0.27754
  18. current_swing_efficiency : 0.271
  19. retracement_ratio : 0.7512
  20. extension_ratio : 0.9958
  21. compression_score : 0.8351
  22. swing_entropy : 1
  23. breakout_strength : -2.6162
  24. distance_to_last_high_atr : -1.7288
  25. distance_to_last_low_atr : 1.535
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    4510.19
  31. last_pivot_index:
    142
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.524
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7008
  49. scores_strength_score:
    0.4533
  50. scores_quality_score:
    0.3443
  51. scores_cleanliness_score:
    0.2395
  52. scores_structural_quality:
    0.43
  53. scores_pullback_score:
    0.7512
  54. scores_exhaustion_score:
    0.3043
  55. scores_continuation_score:
    0.564
  56. scores_structure_score:
    0.6651
  57. scores_volatility_expansion:
    0.3391
  58. scores_momentum_type_score:
    0.5481
  59. scores_risk_score:
    0.565
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.01
  62. features_ema50_slope:
    -0.0008
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.3236
  65. features_price_vs_ema50:
    0.3904
  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:
    19
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.521
  72. features_trend_efficiency:
    0.271
  73. features_impulse_strength:
    3.4719
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.7512
  76. features_pullback_depth_atr:
    2.6081
  77. features_extension_from_mean:
    0.3904
  78. features_impulse_decay_score:
    0.5021
  79. features_opposing_wick_pressure:
    0.2772
  80. features_volatility_percentile:
    0.36
  81. features_volatility_delta:
    -0.1153
  82. features_body_ratio:
    0.4985
  83. features_closes_position_ratio:
    0.494
  84. features_slope_consistency:
    0.8135
  85. features_range_position:
    0.565
  86. features_distance_to_recent_high:
    -3.7531
  87. features_distance_to_recent_low:
    4.8754
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : 0.0406
  99. obi_top10 : 0.0406
  100. micro_price : 4532.26613112
  101. spread_pct : 0.000221
  102. mid_price : 4532.265
  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 : 0.0238
  111. obi_top5_std : 0.0193
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7070
  115. aggregation_tick : 10
  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] => 2026-05-17 18:00:00
        [price] => 4559.99
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 4483.11
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-18 03:00:00
        [price] => 4563.99
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 4535.31
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 4587.36
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 4536.62
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 4593.4
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-19 01:00:00
        [price] => 4534.15
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-19 04:00:00
        [price] => 4563.78
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-19 09:00:00
        [price] => 4471.06
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 4519.03
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-19 18:00:00
        [price] => 4482.35
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 4512.99
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-19 23:00:00
        [price] => 4458.01
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-20 21:00:00
        [price] => 4571.83
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-21 03:00:00
        [price] => 4515.04
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-21 05:00:00
        [price] => 4544.99
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-21 09:00:00
        [price] => 4493.06
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-21 13:00:00
        [price] => 4561.9
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-22 01:00:00
        [price] => 4510.19
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-21 08:00:00
        [price] => 4522.36
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-21 09:30:00
        [price] => 4493.06
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-21 09:45:00
        [price] => 4524.5
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-21 11:00:00
        [price] => 4501.5
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-21 13:45:00
        [price] => 4561.9
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-21 14:45:00
        [price] => 4530.6
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-21 18:00:00
        [price] => 4547.99
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-21 20:15:00
        [price] => 4533.34
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-21 20:30:00
        [price] => 4544.45
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-21 21:30:00
        [price] => 4525.06
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-21 21:45:00
        [price] => 4535.39
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-21 22:30:00
        [price] => 4523.5
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-22 01:45:00
        [price] => 4538.1
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-22 02:00:00
        [price] => 4514.47
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-22 02:45:00
        [price] => 4532.24
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-22 03:30:00
        [price] => 4520.6
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-22 04:15:00
        [price] => 4534.09
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-22 05:30:00
        [price] => 4518.84
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-22 06:00:00
        [price] => 4539.85
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-22 06:45:00
        [price] => 4515.57
        [kind] => low
        [label] => LL
    )
    
  163. bos_level_long : 4544.99
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    4510.19
  167. levels_hl_timestamp: 2026-05-22 01:00:00
  168. levels_hh_price:
    4561.9
  169. levels_lh_price:
    4561.9
  170. levels_lh_timestamp: 2026-05-21 13:00:00
  171. levels_ll_price:
    4510.19
  172. strategy_details
  173. demand_zone_top:
    4524.5
  174. demand_zone_bottom:
    4493.06
  175. demand_zone_mid:
    4508.78
  176. demand_zone_freshness: weak
  177. demand_zone_strength:
    0.8742
  178. strategy_details
  179. supply_zone_top:
    4593.4
  180. supply_zone_bottom:
    4562.74
  181. supply_zone_mid:
    4578.07
  182. supply_zone_freshness: weak
  183. supply_zone_strength:
    1.0247
  184. ¸
  185. regimes
  186. 1H : range_low
  187. 15m : range_low
  188. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 60%

Trend

Trend Strength
0.115
Persistence
0.500
High Δ ATR
1.067
Low Δ ATR
1.081

Current Swing

Amp ATR
3.330
Speed
0.278
Efficiency
0.271

Structure

Retracement
0.751
Extension
0.996
Compression
0.835
Entropy
1.000
Breakout Str.
-2.616
Dist High ATR
-1.729
Dist Low ATR
1.535
27 pivots · 26 swings · Last pivot: ↓ 4,510.1900 @ bar 142

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 52%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.701
Strength Score 0.453
Quality Score 0.344
Cleanliness Score 0.240
Structural Quality 0.430
Pullback Score 0.751
Exhaustion Score 0.304
Continuation Score 0.564
Structure Score 0.665
Volatility Expansion 0.339
Momentum Type Score 0.548
Risk Score 0.565
Features
Ema20 Slope
-0.010
Ema50 Slope
-0.001
Ema Alignment Score
1.000
Price Vs Ema20
0.324
Price Vs Ema50
0.390
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
19.000
Candle Overlap Ratio
1.000
Wick Ratio
0.521
Trend Efficiency
0.271
Impulse Strength
3.472
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.751
Pullback Depth Atr
2.608
Extension From Mean
0.390
Impulse Decay Score
0.502
Opposing Wick Pressure
0.277
Volatility Percentile
0.360
Volatility Delta
-0.115
Body Ratio
0.499
Closes Position Ratio
0.494
Slope Consistency
0.814
Range Position
0.565
Distance To Recent High
-3.753
Distance To Recent Low
4.875
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7070ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.041
avg 0.024 ± 0.019
OBI Top 10 0.041

Microstructure

Mid Price
4,532.2650
Micro Price
4,532.2661
Spread
0.0002%

📌 Time Data

Start at Closed at Duration
22 May 2026
08:21:41
22 May 2026
10:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4537.5 4508.7049 4609.4878 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 4537.5
  • Stop Loss: 4508.7049
  • Take Profit: 4609.4878

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4508.7049 - 4537.5 = -28.7951

  • Récompense (distance jusqu'au take profit):

    E - TP = 4537.5 - 4609.4878 = -71.9878

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -71.9878 / -28.7951 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1260.6296 100 0.2778 12.61
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 -28.7951

Taille de position = 8 / -28.7951 = -0.28

Taille de position USD = -0.28 x 4537.5 = -1270.5

Donc, tu peux acheter -0.28 avec un stoploss a 4508.7049

Avec un position size USD de -1270.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.28 x -28.7951 = 8.06

Si Stop Loss atteint, tu perdras 8.06$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.28 x -71.9878 = 20.16

Si Take Profit atteint, tu gagneras 20.16$

Résumé

  • Taille de position -0.28
  • Taille de position USD -1270.5
  • Perte potentielle 8.06
  • Gain potentiel 20.16
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.59 % 20 $
SL % Target SL $ Target
0.63 % 8 $
PNL PNL %
-8 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8848 % 139.43 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4609.4878
            [entry_price] => 4537.5
            [stop_loss] => 4505.82539
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-22 10:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4609.4878
            [entry_price] => 4537.5
            [stop_loss] => 4502.94588
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-22 10:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4609.4878
            [entry_price] => 4537.5
            [stop_loss] => 4500.06637
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-22 10:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.3500000000004
            [max_drawdown] => 18.66
            [rr_ratio] => 0.13
            [high] => 4539.85000000
            [low] => 4518.84000000
            [mfe_pct] => 0.05
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2026-05-22T08:21:41-04:00
            [end_at] => 2026-05-22T10:21:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.4899999999998
            [max_drawdown] => 42.09
            [rr_ratio] => 0.06
            [high] => 4539.99000000
            [low] => 4495.41000000
            [mfe_pct] => 0.05
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 84
            [start_at] => 2026-05-22T08:21:41-04:00
            [end_at] => 2026-05-22T15:21:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4538.10000000
            [high_after] => 4539.99000000
            [low_before] => 4510.19000000
            [low_after] => 4495.41000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#53 / n/a OUT
seuil : top 15 · score du 22/05/2026 08:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime