18 May 2026 at 13:22:42

Long Trade on BTC (BosPullback)

With 0.012 BTC at 76636.8$ per unit. Take profit: 78318.75 (2.19 %) & Stop Loss: 75955.2116 (0.89 %)

Long BosPullback on BTC (18 May 2026 at 13:22:42 to 15:30:00 - 4 days )

With 0.01174 BTC at 76636.8$ per unit.

Position size of 899.5083 $
Take profit at 78318.75 (2.19 %) and Stop Loss at 75955.2116 (0.89 %)

That's a 2.47 RR Trade
Duration: 4 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.67
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 : range_low

Score : 0

ml_regime : range_medium

rules_regime : bear_medium_confirmed

rules_regime_5m : range_low

tf_aligned :

18/05 13:02

BTC Correlation Coin Market Regime

1H_regime : bear_medium_confirmed

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate grind normal bear_high
72%
18/05 08:00
1h ↓ down range range moderate balanced volatile_reversal bear_medium_confirmed
58%
18/05 12:00
15m ↓ down range range moderate grind volatile_reversal bear_low
41%
18/05 12:45
5m ↓ down range range strong grind compression range_low
48%
18/05 13:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.62
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=5|retests=1|break_atr=0.38|prog=0.34|zone=invalid|ob:ask_pressure(-0.10)
  4. stop_price: 75955.21159899
  5. tp_price: 78318.75
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : range
  11. confidence : 0.635
  12. trend_strength : -0.1825
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.7303
  15. low_delta_atr : -1.2628
  16. current_swing_amp_atr : 4.0035
  17. current_swing_speed : 1.3345
  18. current_swing_efficiency : 0.6595
  19. retracement_ratio : 1.4504
  20. extension_ratio : 1.9613
  21. compression_score : 0.974
  22. swing_entropy : 1
  23. breakout_strength : -0.1138
  24. distance_to_last_high_atr : -2.6898
  25. distance_to_last_low_atr : 1.3765
  26. pivot_count : 22
  27. swing_count : 21
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    76010
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.533
  46. state : down_range_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2614
  49. scores_strength_score:
    0.6669
  50. scores_quality_score:
    0.3221
  51. scores_cleanliness_score:
    0.225
  52. scores_structural_quality:
    0.4015
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2914
  55. scores_continuation_score:
    0.3921
  56. scores_structure_score:
    0.3115
  57. scores_volatility_expansion:
    0.94
  58. scores_momentum_type_score:
    0.7324
  59. scores_risk_score:
    0.0992
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1364
  62. features_ema50_slope:
    -0.1022
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.8877
  65. features_price_vs_ema50:
    -2.1583
  66. features_recent_hh_hl_score:
    0.4211
  67. features_recent_lh_ll_score:
    0.5789
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5499
  72. features_trend_efficiency:
    0.6595
  73. features_impulse_strength:
    4.0035
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.4504
  76. features_pullback_depth_atr:
    4.7168
  77. features_extension_from_mean:
    -2.1583
  78. features_impulse_decay_score:
    0.0193
  79. features_opposing_wick_pressure:
    0.3795
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    0.9853
  82. features_body_ratio:
    0.5683
  83. features_closes_position_ratio:
    0.5467
  84. features_slope_consistency:
    0.8538
  85. features_range_position:
    0.0992
  86. features_distance_to_recent_high:
    -11.3584
  87. features_distance_to_recent_low:
    1.251
  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 : -0.0692
  99. obi_top10 : -0.0692
  100. micro_price : 76619.96911296
  101. spread_pct : 0.000131
  102. mid_price : 76619.95
  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 : -0.1981
  111. obi_top5_std : 0.0869
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7314
  115. aggregation_tick : 100
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 81280
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-13 12:00:00
        [price] => 78755.1
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-13 14:00:00
        [price] => 79789.6
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-13 23:00:00
        [price] => 78865.6
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-14 01:00:00
        [price] => 79950.3
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-14 07:00:00
        [price] => 79193.8
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 81998.4
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 78600.7
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 79540.5
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 77625.8
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 12:00:00
        [price] => 78355.6
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 77700
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 78569.9
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 77800
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 78457.3
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 76685.3
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 77449.8
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 76555
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 77765
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 76010
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 12:30:00
        [price] => 78160
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 13:15:00
        [price] => 77816.4
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 78217.9
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-17 14:15:00
        [price] => 77971.4
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 78447.4
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 78203.2
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 17:30:00
        [price] => 78457.3
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 76685.3
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 19:45:00
        [price] => 77514.2
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 76716.4
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 77196.8
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 22:45:00
        [price] => 76676.4
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 01:00:00
        [price] => 77060
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 76555
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 04:00:00
        [price] => 77170
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 76641.5
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 77765
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 76010
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 77449.8
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    76010
  165. levels_hl_timestamp: 2026-05-18 11:00:00
  166. levels_hh_price:
    77765
  167. levels_lh_price:
    77765
  168. levels_lh_timestamp: 2026-05-18 08:00:00
  169. levels_ll_price:
    76010
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    78457.3
  173. supply_zone_bottom:
    78180.2
  174. supply_zone_mid:
    78318.75
  175. supply_zone_freshness: tested
  176. supply_zone_strength:
    0.986
  177. ¸
  178. regimes
  179. 1H : bear_medium_confirmed
  180. 15m : range_low
  181. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 13:22 76636.80000000 0%
2 13:28 76636.80000000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 64%

Trend

Trend Strength
-0.183
Persistence
0.500
High Δ ATR
0.730
Low Δ ATR
-1.263

Current Swing

Amp ATR
4.004
Speed
1.335
Efficiency
0.660

Structure

Retracement
1.450
Extension
1.961
Compression
0.974
Entropy
1.000
Breakout Str.
-0.114
Dist High ATR
-2.690
Dist Low ATR
1.377
22 pivots · 21 swings · Last pivot: ↓ 76,010.0000 @ bar 147

Trend Analyzer 1H

1H ↓ down down_range_explosive
Confidence 53%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion_after_compression
risk approaching_support
htf unknown
Scores
Direction Score 0.261
Strength Score 0.667
Quality Score 0.322
Cleanliness Score 0.225
Structural Quality 0.402
Pullback Score 1.000
Exhaustion Score 0.291
Continuation Score 0.392
Structure Score 0.312
Volatility Expansion 0.940
Momentum Type Score 0.732
Risk Score 0.099
Features
Ema20 Slope
-0.136
Ema50 Slope
-0.102
Ema Alignment Score
0.000
Price Vs Ema20
-0.888
Price Vs Ema50
-2.158
Recent Hh Hl Score
0.421
Recent Lh Ll Score
0.579
Last Bos Direction
-1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.550
Trend Efficiency
0.660
Impulse Strength
4.004
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.450
Pullback Depth Atr
4.717
Extension From Mean
-2.158
Impulse Decay Score
0.019
Opposing Wick Pressure
0.380
Volatility Percentile
0.900
Volatility Delta
0.985
Body Ratio
0.568
Closes Position Ratio
0.547
Slope Consistency
0.854
Range Position
0.099
Distance To Recent High
-11.358
Distance To Recent Low
1.251
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7314ms Confidence avant OB : 72%62%

Order Book Imbalance

OBI Top 5 -0.069
avg -0.198 ± 0.087
OBI Top 10 -0.069

Microstructure

Mid Price
76,619.9500
Micro Price
76,619.9691
Spread
0.0001%

📌 Time Data

Start at Closed at Duration
18 May 2026
13:22:42
22 May 2026
15:30:00
4 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
76636.8 75955.2116 78318.75 2.47 74864.4
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 76636.8
  • Stop Loss: 75955.2116
  • Take Profit: 78318.75

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 75955.2116 - 76636.8 = -681.58840000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 76636.8 - 78318.75 = -1681.95

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1681.95 / -681.58840000001 = 2.4677

📌 Position Size

Amount Margin Quantity Leverage
899.5083 100 0.01174 9.00
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 -681.58840000001

Taille de position = 8 / -681.58840000001 = -0.01

Taille de position USD = -0.01 x 76636.8 = -766.37

Donc, tu peux acheter -0.01 avec un stoploss a 75955.2116

Avec un position size USD de -766.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.01 x -681.58840000001 = 6.82

Si Stop Loss atteint, tu perdras 6.82$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.01 x -1681.95 = 16.82

Si Take Profit atteint, tu gagneras 16.82$

Résumé

  • Taille de position -0.01
  • Taille de position USD -766.37
  • Perte potentielle 6.82
  • Gain potentiel 16.82
  • Risk-Reward Ratio 2.4677

📌 Peformances

TP % Target TP $ Target
2.19 % 19.74 $
SL % Target SL $ Target
0.89 % 8 $
PNL PNL %
-8 $ -0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.352 % 152.01 % 57

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 728.09999999999
            [max_drawdown] => 596.3
            [rr_ratio] => 1.22
            [high] => 77364.90000000
            [low] => 76040.50000000
            [mfe_pct] => 0.95
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T13:22:42-04:00
            [end_at] => 2026-05-18T15:22:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 728.09999999999
            [max_drawdown] => 626.8
            [rr_ratio] => 1.16
            [high] => 77364.90000000
            [low] => 76010.00000000
            [mfe_pct] => 0.95
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 1.16
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T13:22:42-04:00
            [end_at] => 2026-05-18T20:22:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 77765.00000000
            [high_after] => 77364.90000000
            [low_before] => 76641.50000000
            [low_after] => 76010.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#22 / n/a OUT
seuil : top 15 · score du 18/05/2026 13:00
Signal Confidence
62 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime