17 May 2026 at 20:32:37

Long Trade on CL (BosPullback)

With 9.81 CL at 102.264$ per unit. Take profit: 104.3036 (1.99 %) & Stop Loss: 101.4482 (0.8 %)

Long BosPullback on CL (17 May 2026 at 20:32:37 to 07:30:00 - 10 hours )

With 9.806 CL at 102.264$ per unit.

Position size of 1002.8013 $
Take profit at 104.3036 (1.99 %) and Stop Loss at 101.4482 (0.8 %)

That's a 2.5 RR Trade
Duration: 10 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 7.57
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_confirmed

rules_regime_5m : bear_low

tf_aligned : 1

17/05 20:01

BTC Correlation Coin Market Regime

1H_regime : bull_medium

15m_regime : range_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 moderate grind normal bull_low
58%
17/05 17:00
15m ↑ up range range strong explosive volatile_reversal range_low
45%
17/05 19:45
5m ↔ neutral range range strong balanced normal range_low
49%
17/05 20:25

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=2|retests=1|break_atr=0.49|prog=0.54|zone=invalid
  4. stop_price: 101.44817341
  5. tp_price: 104.30356649
  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_up
  11. confidence : 0.778
  12. trend_strength : 0.1641
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.0844
  15. low_delta_atr : 0.6979
  16. current_swing_amp_atr : 3.3773
  17. current_swing_speed : 1.12577
  18. current_swing_efficiency : 0.4773
  19. retracement_ratio : 2.7239
  20. extension_ratio : 1.7271
  21. compression_score : 1.2538
  22. swing_entropy : 1
  23. breakout_strength : 0.5742
  24. distance_to_last_high_atr : -1.5102
  25. distance_to_last_low_atr : 1.7833
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    102.911
  31. last_pivot_index:
    147
  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 : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.581
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7205
  49. scores_strength_score:
    0.5599
  50. scores_quality_score:
    0.3253
  51. scores_cleanliness_score:
    0.2533
  52. scores_structural_quality:
    0.3842
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2727
  55. scores_continuation_score:
    0.5814
  56. scores_structure_score:
    0.6737
  57. scores_volatility_expansion:
    0.928
  58. scores_momentum_type_score:
    0.6987
  59. scores_risk_score:
    0.9172
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0725
  62. features_ema50_slope:
    0.0683
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.8797
  65. features_price_vs_ema50:
    1.9006
  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:
    0.4934
  72. features_trend_efficiency:
    0.4773
  73. features_impulse_strength:
    3.3773
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.7239
  76. features_pullback_depth_atr:
    4.5841
  77. features_extension_from_mean:
    1.9006
  78. features_impulse_decay_score:
    0.1364
  79. features_opposing_wick_pressure:
    0.2075
  80. features_volatility_percentile:
    0.88
  81. features_volatility_delta:
    0.6935
  82. features_body_ratio:
    0.6015
  83. features_closes_position_ratio:
    0.6081
  84. features_slope_consistency:
    0.8641
  85. features_range_position:
    0.9172
  86. features_distance_to_recent_high:
    -1.2967
  87. features_distance_to_recent_low:
    14.3579
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : 0.0549
  99. obi_top10 : 0.0549
  100. micro_price : 102.22478529
  101. spread_pct : 0.000978
  102. mid_price : 102.2245
  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 : 0.0592
  111. obi_top5_std : 0.0032
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7099
  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] => 2026-05-12 13:00:00
        [price] => 98.723
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-12 14:00:00
        [price] => 99.921
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-13 01:00:00
        [price] => 97.413
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-13 10:00:00
        [price] => 99.6
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-13 21:00:00
        [price] => 96.409
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-14 01:00:00
        [price] => 97.434
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-14 02:00:00
        [price] => 95.5
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-14 04:00:00
        [price] => 98.075
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-14 08:00:00
        [price] => 95.1
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-14 10:00:00
        [price] => 97.477
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 96
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-15 05:00:00
        [price] => 100.838
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-15 06:00:00
        [price] => 98.559
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 101.913
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 100.976
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 101.856
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 04:00:00
        [price] => 101.201
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 102.018
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-17 15:00:00
        [price] => 101.5
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-17 18:00:00
        [price] => 102.911
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 20:30:00
        [price] => 101.492
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 101.729
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 101.347
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 22:15:00
        [price] => 101.78
        [kind] => high
        [label] => HH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 101.225
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 03:00:00
        [price] => 101.685
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 04:15:00
        [price] => 101.201
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 04:30:00
        [price] => 101.592
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 06:45:00
        [price] => 101.238
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 101.948
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 101.719
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 11:30:00
        [price] => 101.713
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 102.003
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 12:45:00
        [price] => 101.609
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 15:00:00
        [price] => 101.959
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 101.5
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 101.996
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 17:45:00
        [price] => 101.392
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 18:00:00
        [price] => 102.911
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 102.696
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 102.018
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    101.5
  167. levels_hl_timestamp: 2026-05-17 15:00:00
  168. levels_hh_price:
    102.911
  169. levels_lh_price:
    102.911
  170. levels_lh_timestamp: 2026-05-17 18:00:00
  171. levels_ll_price:
    101.5
  172. demand_zone :
  173. supply_zone :
  174. ¸
  175. regimes
  176. 1H : bull_medium
  177. 15m : range_low
  178. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 78%

Trend

Trend Strength
0.164
Persistence
0.500
High Δ ATR
2.084
Low Δ ATR
0.698

Current Swing

Amp ATR
3.377
Speed
1.126
Efficiency
0.477

Structure

Retracement
2.724
Extension
1.727
Compression
1.254
Entropy
1.000
Breakout Str.
0.574
Dist High ATR
-1.510
Dist Low ATR
1.783
25 pivots · 24 swings · Last pivot: ↑ 102.9110 @ bar 147

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 58%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion_after_compression
risk approaching_resistance
htf unknown
Scores
Direction Score 0.721
Strength Score 0.560
Quality Score 0.325
Cleanliness Score 0.253
Structural Quality 0.384
Pullback Score 1.000
Exhaustion Score 0.273
Continuation Score 0.581
Structure Score 0.674
Volatility Expansion 0.928
Momentum Type Score 0.699
Risk Score 0.917
Features
Ema20 Slope
0.073
Ema50 Slope
0.068
Ema Alignment Score
1.000
Price Vs Ema20
0.880
Price Vs Ema50
1.901
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
0.493
Trend Efficiency
0.477
Impulse Strength
3.377
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.724
Pullback Depth Atr
4.584
Extension From Mean
1.901
Impulse Decay Score
0.136
Opposing Wick Pressure
0.208
Volatility Percentile
0.880
Volatility Delta
0.694
Body Ratio
0.602
Closes Position Ratio
0.608
Slope Consistency
0.864
Range Position
0.917
Distance To Recent High
-1.297
Distance To Recent Low
14.358
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7099ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 0.055
avg 0.059 ± 0.003
OBI Top 10 0.055

Microstructure

Mid Price
102.2245
Micro Price
102.2248
Spread
0.0010%

📌 Time Data

Start at Closed at Duration
17 May 2026
20:32:37
18 May 2026
07:30:00
10 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
102.264 101.4482 104.3036 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 102.264
  • Stop Loss: 101.4482
  • Take Profit: 104.3036

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 101.4482 - 102.264 = -0.8158

  • Récompense (distance jusqu'au take profit):

    E - TP = 102.264 - 104.3036 = -2.0396

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.0396 / -0.8158 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
1002.8013 100 9.806 10.03
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 -0.8158

Taille de position = 8 / -0.8158 = -9.81

Taille de position USD = -9.81 x 102.264 = -1003.21

Donc, tu peux acheter -9.81 avec un stoploss a 101.4482

Avec un position size USD de -1003.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -9.81 x -0.8158 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -9.81 x -2.0396 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -9.81
  • Taille de position USD -1003.21
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
1.99 % 20 $
SL % Target SL $ Target
0.8 % 8 $
PNL PNL %
-8 $ -0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8361 % 104.81 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.978
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 104.24200000
            [low] => 102.27600000
            [mfe_pct] => 1.93
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T20:32:37-04:00
            [end_at] => 2026-05-17T22:32:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.978
            [max_drawdown] => 0.755
            [rr_ratio] => 2.62
            [high] => 104.24200000
            [low] => 101.50900000
            [mfe_pct] => 1.93
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 2.62
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T20:32:37-04:00
            [end_at] => 2026-05-18T03:32:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 102.91100000
            [high_after] => 104.24200000
            [low_before] => 101.39200000
            [low_after] => 102.27600000
            [is_new_high] => 1
            [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 17/05/2026 20:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime