03 Jun 2026 at 23:44:51

Long Trade on XMR (BosPullback)

With 0.67 XMR at 364$ per unit. Take profit: 394.0618 (8.26 %) & Stop Loss: 351.9753 (3.3 %)

Long BosPullback on XMR (03 Jun 2026 at 23:44:51 to 04:20:00 - 4 hours )

With 0.6653 XMR at 364$ per unit.

Position size of 242.168 $
Take profit at 394.0618 (8.26 %) and Stop Loss at 351.9753 (3.3 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.54
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 : range_medium

Score : 0

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

03/06 23:01

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 ↔ — bear_high
54%
03/06 04:00
1h ↑ up early_expansion bullish_transition strong grind expansion bull_high
83%
04/06 03:00
15m ↑ up range range moderate balanced normal bull_high
77%
04/06 03:30
5m ↔ neutral range range moderate balanced compression bull_medium
69%
04/06 03:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=3|retests=1|break_atr=0.58|prog=0.67|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 351.97528744
  5. tp_price: 394.0617814
  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 : 0.61
  12. trend_strength : 0.2844
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2977
  15. low_delta_atr : 0.572
  16. current_swing_amp_atr : 2.332
  17. current_swing_speed : 1.16598
  18. current_swing_efficiency : 0.67
  19. retracement_ratio : 0.7988
  20. extension_ratio : 1.4699
  21. compression_score : 0.7517
  22. swing_entropy : 1
  23. breakout_strength : -2.0923
  24. distance_to_last_high_atr : -0.75
  25. distance_to_last_low_atr : 1.5203
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    352.79
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.581
  46. state : up_early_expansion_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7135
  49. scores_strength_score:
    0.6678
  50. scores_quality_score:
    0.3783
  51. scores_cleanliness_score:
    0.1969
  52. scores_structural_quality:
    0.5267
  53. scores_pullback_score:
    0.7988
  54. scores_exhaustion_score:
    0.3101
  55. scores_continuation_score:
    0.5673
  56. scores_structure_score:
    0.6348
  57. scores_volatility_expansion:
    0.988
  58. scores_momentum_type_score:
    0.7171
  59. scores_risk_score:
    0.4704
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1053
  62. features_ema50_slope:
    0.0574
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.1927
  65. features_price_vs_ema50:
    1.6674
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6062
  72. features_trend_efficiency:
    0.67
  73. features_impulse_strength:
    3.0335
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    0.7988
  76. features_pullback_depth_atr:
    2.4231
  77. features_extension_from_mean:
    1.6674
  78. features_impulse_decay_score:
    0.265
  79. features_opposing_wick_pressure:
    0.233
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    0.3127
  82. features_body_ratio:
    0.4361
  83. features_closes_position_ratio:
    0.6371
  84. features_slope_consistency:
    0.9444
  85. features_range_position:
    0.4704
  86. features_distance_to_recent_high:
    -5.9407
  87. features_distance_to_recent_low:
    5.2759
  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 : 0.2641
  99. obi_top10 : 0.2151
  100. micro_price : 363.24741935
  101. spread_pct : 0.068857
  102. mid_price : 363.195
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 365
  107. ask_wall_size : 428.802
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.2498
  111. obi_top5_std : 0.0581
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7325
  115. aggregation_tick : 1
  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 08:00:00
        [price] => 403.29
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-30 17:00:00
        [price] => 371.92
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-30 20:00:00
        [price] => 382.54
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-31 00:00:00
        [price] => 365.53
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 377.35
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 359.26
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 368.59
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-01 04:00:00
        [price] => 356.65
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-01 07:00:00
        [price] => 371.96
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-01 09:00:00
        [price] => 358.87
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-01 10:00:00
        [price] => 373.53
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-02 02:00:00
        [price] => 339.09
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-02 08:00:00
        [price] => 355.13
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-02 22:00:00
        [price] => 322
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-03 02:00:00
        [price] => 339.29
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-03 03:00:00
        [price] => 327.5
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-03 17:00:00
        [price] => 360
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-03 19:00:00
        [price] => 348.55
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-04 00:00:00
        [price] => 369.62
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 352.79
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-03 02:45:00
        [price] => 337.39
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-03 03:30:00
        [price] => 327.5
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-03 05:00:00
        [price] => 337.48
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-03 07:00:00
        [price] => 332.35
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-03 11:45:00
        [price] => 347.51
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-03 12:15:00
        [price] => 341.92
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-03 14:00:00
        [price] => 357.99
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-03 14:30:00
        [price] => 348.51
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-03 16:15:00
        [price] => 359.69
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-03 17:00:00
        [price] => 349.51
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-03 17:30:00
        [price] => 360
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-03 19:15:00
        [price] => 348.55
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-03 21:00:00
        [price] => 363.74
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-03 23:00:00
        [price] => 356.08
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-04 00:15:00
        [price] => 369.62
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 352.79
        [kind] => low
        [label] => LL
    )
    
  159. bos_level_long : 360
  160. bos_level_short : 0
  161. strategy_details
  162. levels_hl_price:
    352.79
  163. levels_hl_timestamp: 2026-06-04 02:00:00
  164. levels_hh_price:
    369.62
  165. levels_lh_price:
    369.62
  166. levels_lh_timestamp: 2026-06-04 00:00:00
  167. levels_ll_price:
    352.79
  168. strategy_details
  169. demand_zone_top:
    360
  170. demand_zone_bottom:
    347.34
  171. demand_zone_mid:
    353.67
  172. demand_zone_freshness: tested
  173. demand_zone_strength:
    0.8944
  174. strategy_details
  175. supply_zone_top:
    377.35
  176. supply_zone_bottom:
    366.14
  177. supply_zone_mid:
    371.745
  178. supply_zone_freshness: weak
  179. supply_zone_strength:
    0.7753
  180. ¸
  181. regimes
  182. 1H : bull_high
  183. 15m : bull_high
  184. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 61%

Trend

Trend Strength
0.284
Persistence
0.500
High Δ ATR
1.298
Low Δ ATR
0.572

Current Swing

Amp ATR
2.332
Speed
1.166
Efficiency
0.670

Structure

Retracement
0.799
Extension
1.470
Compression
0.752
Entropy
1.000
Breakout Str.
-2.092
Dist High ATR
-0.750
Dist Low ATR
1.520
26 pivots · 25 swings · Last pivot: ↓ 352.7900 @ bar 148

Trend Analyzer 1H

1H ↑ up up_early_expansion_explosive
Confidence 58%

Context

phase early_expansion
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion
risk mid_range
htf unknown
Scores
Direction Score 0.714
Strength Score 0.668
Quality Score 0.378
Cleanliness Score 0.197
Structural Quality 0.527
Pullback Score 0.799
Exhaustion Score 0.310
Continuation Score 0.567
Structure Score 0.635
Volatility Expansion 0.988
Momentum Type Score 0.717
Risk Score 0.470
Features
Ema20 Slope
0.105
Ema50 Slope
0.057
Ema Alignment Score
1.000
Price Vs Ema20
1.193
Price Vs Ema50
1.667
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.606
Trend Efficiency
0.670
Impulse Strength
3.034
Directional Candle Ratio
0.700
Pullback Depth Ratio
0.799
Pullback Depth Atr
2.423
Extension From Mean
1.667
Impulse Decay Score
0.265
Opposing Wick Pressure
0.233
Volatility Percentile
0.980
Volatility Delta
0.313
Body Ratio
0.436
Closes Position Ratio
0.637
Slope Consistency
0.944
Range Position
0.470
Distance To Recent High
-5.941
Distance To Recent Low
5.276
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7325ms Confidence avant OB : 79%86%

Order Book Imbalance

OBI Top 5 0.264
avg 0.250 ± 0.058
OBI Top 10 0.215

Microstructure

Mid Price
363.1950
Micro Price
363.2474
Spread
0.0689%

↓ Ask Wall (Resistance)

Price
365.0000
Size
428.80

📌 Time Data

Start at Closed at Duration
03 Jun 2026
23:44:51
04 Jun 2026
04:20:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
364 351.9753 394.0618 2.5 324.37
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 364
  • Stop Loss: 351.9753
  • Take Profit: 394.0618

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 351.9753 - 364 = -12.0247

  • Récompense (distance jusqu'au take profit):

    E - TP = 364 - 394.0618 = -30.0618

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -30.0618 / -12.0247 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
242.168 100 0.6653 2.42
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 -12.0247

Taille de position = 8 / -12.0247 = -0.67

Taille de position USD = -0.67 x 364 = -243.88

Donc, tu peux acheter -0.67 avec un stoploss a 351.9753

Avec un position size USD de -243.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.67 x -12.0247 = 8.06

Si Stop Loss atteint, tu perdras 8.06$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.67 x -30.0618 = 20.14

Si Take Profit atteint, tu gagneras 20.14$

Résumé

  • Taille de position -0.67
  • Taille de position USD -243.88
  • Perte potentielle 8.06
  • Gain potentiel 20.14
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
8.26 % 20 $
SL % Target SL $ Target
3.3 % 8 $
PNL PNL %
-8 $ -3.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.3434 % 101.21 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 394.0618
            [entry_price] => 364
            [stop_loss] => 350.77283
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-04 08:40:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 394.0618
            [entry_price] => 364
            [stop_loss] => 349.57036
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-04 08:40:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 394.0618
            [entry_price] => 364
            [stop_loss] => 348.36789
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-04 08:40:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 394.0618
            [entry_price] => 364
            [stop_loss] => 345.96295
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-06-04 08:40:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.8
            [max_drawdown] => 9.2
            [rr_ratio] => 0.52
            [high] => 368.80000000
            [low] => 354.80000000
            [mfe_pct] => 1.32
            [mae_pct] => 2.53
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2026-06-03T23:44:51-04:00
            [end_at] => 2026-06-04T01:44:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.8
            [max_drawdown] => 24.54
            [rr_ratio] => 0.2
            [high] => 368.80000000
            [low] => 339.46000000
            [mfe_pct] => 1.32
            [mae_pct] => 6.74
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2026-06-03T23:44:51-04:00
            [end_at] => 2026-06-04T06:44:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 369.62000000
            [high_after] => 368.80000000
            [low_before] => 352.79000000
            [low_after] => 339.46000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#41 / n/a OUT
seuil : top 15 · score du 03/06/2026 23:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime