18 May 2026 at 02:36:03

Long Trade on CL (BosPullback)

With 9.25 CL at 103.291$ per unit. Take profit: 105.4532 (2.09 %) & Stop Loss: 102.4261 (0.84 %)

Long BosPullback on CL (18 May 2026 at 02:36:03 to 03:20:00 - 43 minutes )

With 9.2499 CL at 103.291$ per unit.

Position size of 955.4282 $
Take profit at 105.4532 (2.09 %) and Stop Loss at 102.4261 (0.84 %)

That's a 2.5 RR Trade
Duration: 43 minutes

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.03
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_medium

rules_regime_5m : bear_low

Score : 0

ml_regime : range_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

18/05 02:02

BTC Correlation Coin Market Regime

1H_regime : bull_medium

15m_regime : bull_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range moderate grind compression bull_high
80%
17/05 16:00
1h ↑ up transition bullish_transition strong explosive volatile_reversal bull_medium
70%
18/05 02:00
15m ↔ neutral range range moderate fading compression range_low
48%
18/05 02:15
5m ↔ neutral range range moderate balanced expansion range_low
47%
18/05 02:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=5|retests=1|break_atr=0.51|prog=0.47|zone=invalid
  4. stop_price: 102.42612286
  5. tp_price: 105.45319286
  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 : 0.947
  12. trend_strength : 0.19
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.3971
  15. low_delta_atr : 1.0103
  16. current_swing_amp_atr : 3.1874
  17. current_swing_speed : 0.79685
  18. current_swing_efficiency : 0.479
  19. retracement_ratio : 0.7575
  20. extension_ratio : 1.7841
  21. compression_score : 1.1992
  22. swing_entropy : 1
  23. breakout_strength : -2.4871
  24. distance_to_last_high_atr : -1.6785
  25. distance_to_last_low_atr : 1.4768
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    102.49
  31. last_pivot_index:
    148
  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 : low
  41. momentum_type : balanced
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.618
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7535
  49. scores_strength_score:
    0.5886
  50. scores_quality_score:
    0.4128
  51. scores_cleanliness_score:
    0.2473
  52. scores_structural_quality:
    0.5483
  53. scores_pullback_score:
    0.7575
  54. scores_exhaustion_score:
    0.329
  55. scores_continuation_score:
    0.5777
  56. scores_structure_score:
    0.7183
  57. scores_volatility_expansion:
    0.94
  58. scores_momentum_type_score:
    0.673
  59. scores_risk_score:
    0.8981
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1332
  62. features_ema50_slope:
    0.0952
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.3719
  65. features_price_vs_ema50:
    2.498
  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:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5055
  72. features_trend_efficiency:
    0.479
  73. features_impulse_strength:
    4.0765
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.7575
  76. features_pullback_depth_atr:
    3.088
  77. features_extension_from_mean:
    2.498
  78. features_impulse_decay_score:
    0.108
  79. features_opposing_wick_pressure:
    0.2689
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    1.2312
  82. features_body_ratio:
    0.6142
  83. features_closes_position_ratio:
    0.5761
  84. features_slope_consistency:
    0.742
  85. features_range_position:
    0.8981
  86. features_distance_to_recent_high:
    -1.4627
  87. features_distance_to_recent_low:
    12.8851
  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 : 0.0682
  99. obi_top10 : 0.0682
  100. micro_price : 103.28816304
  101. spread_pct : 0.002905
  102. mid_price : 103.2895
  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 : 0.066
  111. obi_top5_std : 0.0028
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7187
  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] => 2026-05-13 10:00:00
        [price] => 99.6
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-13 21:00:00
        [price] => 96.409
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-14 01:00:00
        [price] => 97.434
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-14 02:00:00
        [price] => 95.5
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-14 04:00:00
        [price] => 98.075
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-14 08:00:00
        [price] => 95.1
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-14 10:00:00
        [price] => 97.477
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 96
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-15 05:00:00
        [price] => 100.838
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-15 06:00:00
        [price] => 98.559
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 101.913
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 100.976
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 101.856
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 04:00:00
        [price] => 101.201
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 102.018
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 15:00:00
        [price] => 101.5
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 18:00:00
        [price] => 102.911
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 101.929
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 104.242
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 01:00:00
        [price] => 102.49
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 03:00:00
        [price] => 101.685
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 04:15:00
        [price] => 101.201
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 04:30:00
        [price] => 101.592
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-17 06:45:00
        [price] => 101.238
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 101.948
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 101.719
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 11:30:00
        [price] => 101.713
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 102.003
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 12:45:00
        [price] => 101.609
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 15:00:00
        [price] => 101.959
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 101.5
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 101.996
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 17:45:00
        [price] => 101.392
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 18:00:00
        [price] => 102.911
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 102.696
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 101.929
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 21:15:00
        [price] => 104.242
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 01:45:00
        [price] => 102.49
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 102.911
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    102.49
  165. levels_hl_timestamp: 2026-05-18 01:00:00
  166. levels_hh_price:
    104.242
  167. levels_lh_price:
    104.242
  168. levels_lh_timestamp: 2026-05-17 21:00:00
  169. levels_ll_price:
    102.49
  170. demand_zone :
  171. supply_zone :
  172. ¸
  173. regimes
  174. 1H : bull_medium
  175. 15m : bull_low
  176. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 95%

Trend

Trend Strength
0.190
Persistence
0.500
High Δ ATR
2.397
Low Δ ATR
1.010

Current Swing

Amp ATR
3.187
Speed
0.797
Efficiency
0.479

Structure

Retracement
0.758
Extension
1.784
Compression
1.199
Entropy
1.000
Breakout Str.
-2.487
Dist High ATR
-1.679
Dist Low ATR
1.477
24 pivots · 23 swings · Last pivot: ↓ 102.4900 @ bar 148

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 62%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk approaching_resistance
htf unknown
Scores
Direction Score 0.754
Strength Score 0.589
Quality Score 0.413
Cleanliness Score 0.247
Structural Quality 0.548
Pullback Score 0.758
Exhaustion Score 0.329
Continuation Score 0.578
Structure Score 0.718
Volatility Expansion 0.940
Momentum Type Score 0.673
Risk Score 0.898
Features
Ema20 Slope
0.133
Ema50 Slope
0.095
Ema Alignment Score
1.000
Price Vs Ema20
1.372
Price Vs Ema50
2.498
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.506
Trend Efficiency
0.479
Impulse Strength
4.077
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.758
Pullback Depth Atr
3.088
Extension From Mean
2.498
Impulse Decay Score
0.108
Opposing Wick Pressure
0.269
Volatility Percentile
0.900
Volatility Delta
1.231
Body Ratio
0.614
Closes Position Ratio
0.576
Slope Consistency
0.742
Range Position
0.898
Distance To Recent High
-1.463
Distance To Recent Low
12.885
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7187ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.068
avg 0.066 ± 0.003
OBI Top 10 0.068

Microstructure

Mid Price
103.2895
Micro Price
103.2882
Spread
0.0029%

📌 Time Data

Start at Closed at Duration
18 May 2026
02:36:03
18 May 2026
03:20:00
43 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
103.291 102.4261 105.4532 2.5 76.086
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 103.291
  • Stop Loss: 102.4261
  • Take Profit: 105.4532

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 102.4261 - 103.291 = -0.86489999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 103.291 - 105.4532 = -2.1622

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.1622 / -0.86489999999999 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
955.4282 100 9.2499 9.55
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 -0.86489999999999

Taille de position = 8 / -0.86489999999999 = -9.25

Taille de position USD = -9.25 x 103.291 = -955.44

Donc, tu peux acheter -9.25 avec un stoploss a 102.4261

Avec un position size USD de -955.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -9.25 x -0.86489999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -9.25 x -2.1622 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -9.25
  • Taille de position USD -955.44
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
2.09 % 20 $
SL % Target SL $ Target
0.84 % 8 $
PNL PNL %
-8 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9265 % 110.65 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 105.4532
            [entry_price] => 103.291
            [stop_loss] => 102.33961
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-18 03:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 105.4532
            [entry_price] => 103.291
            [stop_loss] => 102.25312
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-18 03:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 105.4532
            [entry_price] => 103.291
            [stop_loss] => 102.16663
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-18 03:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 105.4532
            [entry_price] => 103.291
            [stop_loss] => 101.99365
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-18 03:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.051000000000002
            [max_drawdown] => 1.782
            [rr_ratio] => -0.03
            [high] => 103.24000000
            [low] => 101.50900000
            [mfe_pct] => -0.05
            [mae_pct] => 1.73
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T02:36:03-04:00
            [end_at] => 2026-05-18T04:36:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.051000000000002
            [max_drawdown] => 4.745
            [rr_ratio] => -0.01
            [high] => 103.24000000
            [low] => 98.54600000
            [mfe_pct] => -0.05
            [mae_pct] => 4.59
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T02:36:03-04:00
            [end_at] => 2026-05-18T09:36:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 103.36100000
            [high_after] => 103.24000000
            [low_before] => 102.49000000
            [low_after] => 99.83700000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#13 / n/a OK
seuil : top 15 · score du 18/05/2026 02:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime