12 May 2026 at 09:07:09

Short Trade on INTC (BosPullback)

With 2.36 INTC at 123.71$ per unit. Take profit: 115.2479 (6.84 %) & Stop Loss: 127.0948 (2.74 %)

Short BosPullback on INTC (12 May 2026 at 09:07:09 to 09:35:00 - 27 minutes )

With 2.3635 INTC at 123.71$ per unit.

Position size of 292.3861 $
Take profit at 115.2479 (6.84 %) and Stop Loss at 127.0948 (2.74 %)

That's a 2.5 RR Trade
Duration: 27 minutes

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 4.4
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_medium

rules_regime_5m : range_low

Score : 0

ml_regime : bear_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

12/05 09:00

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bear_high

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=12|retests=1|break_atr=0.31|prog=0.41|zone=tested
  4. stop_price: 127.09483923
  5. tp_price: 115.24790193
  6. atr:
  7. score: 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 : range
  11. confidence : 0.798
  12. trend_strength : 0.1009
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.516
  15. low_delta_atr : -2.3987
  16. current_swing_amp_atr : 3.5322
  17. current_swing_speed : 0.5046
  18. current_swing_efficiency : 0.3602
  19. retracement_ratio : 0.7101
  20. extension_ratio : 1.3119
  21. compression_score : 0.9074
  22. swing_entropy : 1
  23. breakout_strength : -3.0463
  24. distance_to_last_high_atr : -1.5303
  25. distance_to_last_low_atr : 2.1828
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    126.9
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.52
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3279
  49. scores_strength_score:
    0.5134
  50. scores_quality_score:
    0.3532
  51. scores_cleanliness_score:
    0.2604
  52. scores_structural_quality:
    0.4292
  53. scores_pullback_score:
    0.7101
  54. scores_exhaustion_score:
    0.3043
  55. scores_continuation_score:
    0.4149
  56. scores_structure_score:
    0.3927
  57. scores_volatility_expansion:
    0.3
  58. scores_momentum_type_score:
    0.5384
  59. scores_risk_score:
    0.6007
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0818
  62. features_ema50_slope:
    -0.0368
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.0152
  65. features_price_vs_ema50:
    -1.2419
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    12
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4791
  72. features_trend_efficiency:
    0.3602
  73. features_impulse_strength:
    3.5322
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.7101
  76. features_pullback_depth_atr:
    3.1572
  77. features_extension_from_mean:
    -1.2419
  78. features_impulse_decay_score:
    0.344
  79. features_opposing_wick_pressure:
    0.232
  80. features_volatility_percentile:
    0.5
  81. features_volatility_delta:
    -0.3138
  82. features_body_ratio:
    0.4354
  83. features_closes_position_ratio:
    0.4281
  84. features_slope_consistency:
    0.8258
  85. features_range_position:
    0.6007
  86. features_distance_to_recent_high:
    -5.5568
  87. features_distance_to_recent_low:
    8.3598
  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. strategy_details
  98. strategy : bos_pullback
  99. ms_state_1h : range
  100. strategy_details
  101. pivots_1h_0:
    Array
    (
        [time] => 2026-05-07 03:00:00
        [price] => 113.08
        [kind] => high
        [label] => LH
    )
    
  102. pivots_1h_1:
    Array
    (
        [time] => 2026-05-07 09:00:00
        [price] => 108.87
        [kind] => low
        [label] => LL
    )
    
  103. pivots_1h_2:
    Array
    (
        [time] => 2026-05-07 10:00:00
        [price] => 114.59
        [kind] => high
        [label] => HH
    )
    
  104. pivots_1h_3:
    Array
    (
        [time] => 2026-05-07 17:00:00
        [price] => 106.74
        [kind] => low
        [label] => LL
    )
    
  105. pivots_1h_4:
    Array
    (
        [time] => 2026-05-08 05:00:00
        [price] => 112.75
        [kind] => high
        [label] => LH
    )
    
  106. pivots_1h_5:
    Array
    (
        [time] => 2026-05-08 08:00:00
        [price] => 110.72
        [kind] => low
        [label] => HL
    )
    
  107. pivots_1h_6:
    Array
    (
        [time] => 2026-05-08 13:00:00
        [price] => 130.72
        [kind] => high
        [label] => HH
    )
    
  108. pivots_1h_7:
    Array
    (
        [time] => 2026-05-08 14:00:00
        [price] => 123.34
        [kind] => low
        [label] => HL
    )
    
  109. pivots_1h_8:
    Array
    (
        [time] => 2026-05-08 18:00:00
        [price] => 126.91
        [kind] => high
        [label] => LH
    )
    
  110. pivots_1h_9:
    Array
    (
        [time] => 2026-05-09 18:00:00
        [price] => 125.94
        [kind] => low
        [label] => HL
    )
    
  111. pivots_1h_10:
    Array
    (
        [time] => 2026-05-10 13:00:00
        [price] => 127.8
        [kind] => high
        [label] => HH
    )
    
  112. pivots_1h_11:
    Array
    (
        [time] => 2026-05-10 18:00:00
        [price] => 125.67
        [kind] => low
        [label] => LL
    )
    
  113. pivots_1h_12:
    Array
    (
        [time] => 2026-05-10 20:00:00
        [price] => 129.71
        [kind] => high
        [label] => HH
    )
    
  114. pivots_1h_13:
    Array
    (
        [time] => 2026-05-11 00:00:00
        [price] => 125.79
        [kind] => low
        [label] => HL
    )
    
  115. pivots_1h_14:
    Array
    (
        [time] => 2026-05-11 05:00:00
        [price] => 134.99
        [kind] => high
        [label] => HH
    )
    
  116. pivots_1h_15:
    Array
    (
        [time] => 2026-05-11 06:00:00
        [price] => 131.09
        [kind] => low
        [label] => HL
    )
    
  117. pivots_1h_16:
    Array
    (
        [time] => 2026-05-11 10:00:00
        [price] => 124.16
        [kind] => low
        [label] => LL
    )
    
  118. pivots_1h_17:
    Array
    (
        [time] => 2026-05-11 15:00:00
        [price] => 130.06
        [kind] => high
        [label] => LH
    )
    
  119. pivots_1h_18:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 119.16
        [kind] => low
        [label] => LL
    )
    
  120. pivots_1h_19:
    Array
    (
        [time] => 2026-05-12 04:00:00
        [price] => 126.9
        [kind] => high
        [label] => LH
    )
    
  121. strategy_details
  122. pivots_15m_0:
    Array
    (
        [time] => 2026-05-11 09:30:00
        [price] => 133.07
        [kind] => high
        [label] => 
    )
    
  123. pivots_15m_1:
    Array
    (
        [time] => 2026-05-11 10:30:00
        [price] => 124.16
        [kind] => low
        [label] => 
    )
    
  124. pivots_15m_2:
    Array
    (
        [time] => 2026-05-11 12:00:00
        [price] => 128.85
        [kind] => high
        [label] => 
    )
    
  125. pivots_15m_3:
    Array
    (
        [time] => 2026-05-11 13:15:00
        [price] => 125.51
        [kind] => low
        [label] => HL
    )
    
  126. pivots_15m_4:
    Array
    (
        [time] => 2026-05-11 14:15:00
        [price] => 129.25
        [kind] => high
        [label] => LH
    )
    
  127. pivots_15m_5:
    Array
    (
        [time] => 2026-05-11 15:30:00
        [price] => 126.53
        [kind] => low
        [label] => HL
    )
    
  128. pivots_15m_6:
    Array
    (
        [time] => 2026-05-11 15:45:00
        [price] => 130.06
        [kind] => high
        [label] => HH
    )
    
  129. pivots_15m_7:
    Array
    (
        [time] => 2026-05-11 21:30:00
        [price] => 119.16
        [kind] => low
        [label] => LL
    )
    
  130. pivots_15m_8:
    Array
    (
        [time] => 2026-05-11 23:00:00
        [price] => 126
        [kind] => high
        [label] => LH
    )
    
  131. pivots_15m_9:
    Array
    (
        [time] => 2026-05-12 00:45:00
        [price] => 123.66
        [kind] => low
        [label] => HL
    )
    
  132. pivots_15m_10:
    Array
    (
        [time] => 2026-05-12 01:15:00
        [price] => 125.35
        [kind] => high
        [label] => LH
    )
    
  133. pivots_15m_11:
    Array
    (
        [time] => 2026-05-12 03:00:00
        [price] => 123.48
        [kind] => low
        [label] => HL
    )
    
  134. pivots_15m_12:
    Array
    (
        [time] => 2026-05-12 03:45:00
        [price] => 126.02
        [kind] => high
        [label] => HH
    )
    
  135. pivots_15m_13:
    Array
    (
        [time] => 2026-05-12 04:15:00
        [price] => 124.57
        [kind] => low
        [label] => HL
    )
    
  136. pivots_15m_14:
    Array
    (
        [time] => 2026-05-12 04:45:00
        [price] => 126.9
        [kind] => high
        [label] => HH
    )
    
  137. pivots_15m_15:
    Array
    (
        [time] => 2026-05-12 08:00:00
        [price] => 122.54
        [kind] => low
        [label] => LL
    )
    
  138. pivots_15m_16:
    Array
    (
        [time] => 2026-05-12 08:30:00
        [price] => 125.82
        [kind] => high
        [label] => LH
    )
    
  139. bos_level_long : 0
  140. bos_level_short : 124.16
  141. strategy_details
  142. levels_hl_price:
    119.16
  143. levels_hl_timestamp: 2026-05-11 21:00:00
  144. levels_hh_price:
    126.9
  145. levels_lh_price:
    126.9
  146. levels_lh_timestamp: 2026-05-12 04:00:00
  147. levels_ll_price:
    119.16
  148. demand_zone :
  149. strategy_details
  150. supply_zone_top:
    130.06
  151. supply_zone_bottom:
    124.16
  152. supply_zone_mid:
    127.11
  153. supply_zone_freshness: tested
  154. supply_zone_strength:
    0.8748
  155. ¸
  156. regimes
  157. 1H : bear_high
  158. 15m : bear_high
  159. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 80%

Trend

Trend Strength
0.101
Persistence
0.500
High Δ ATR
-1.516
Low Δ ATR
-2.399

Current Swing

Amp ATR
3.532
Speed
0.505
Efficiency
0.360

Structure

Retracement
0.710
Extension
1.312
Compression
0.907
Entropy
1.000
Breakout Str.
-3.046
Dist High ATR
-1.530
Dist Low ATR
2.183
24 pivots · 23 swings · Last pivot: ↑ 126.9000 @ bar 144

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.328
Strength Score 0.513
Quality Score 0.353
Cleanliness Score 0.260
Structural Quality 0.429
Pullback Score 0.710
Exhaustion Score 0.304
Continuation Score 0.415
Structure Score 0.393
Volatility Expansion 0.300
Momentum Type Score 0.538
Risk Score 0.601
Features
Ema20 Slope
-0.082
Ema50 Slope
-0.037
Ema Alignment Score
0.000
Price Vs Ema20
-1.015
Price Vs Ema50
-1.242
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.479
Trend Efficiency
0.360
Impulse Strength
3.532
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.710
Pullback Depth Atr
3.157
Extension From Mean
-1.242
Impulse Decay Score
0.344
Opposing Wick Pressure
0.232
Volatility Percentile
0.500
Volatility Delta
-0.314
Body Ratio
0.435
Closes Position Ratio
0.428
Slope Consistency
0.826
Range Position
0.601
Distance To Recent High
-5.557
Distance To Recent Low
8.360
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

📌 Time Data

Start at Closed at Duration
12 May 2026
09:07:09
12 May 2026
09:35:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
123.71 127.0948 115.2479 2.5 133.55
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 123.71
  • Stop Loss: 127.0948
  • Take Profit: 115.2479

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 127.0948 - 123.71 = 3.3848

  • Récompense (distance jusqu'au take profit):

    E - TP = 123.71 - 115.2479 = 8.4621

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.4621 / 3.3848 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
292.3861 100 2.3635 2.92
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 3.3848

Taille de position = 8 / 3.3848 = 2.36

Taille de position USD = 2.36 x 123.71 = 291.96

Donc, tu peux acheter 2.36 avec un stoploss a 127.0948

Avec un position size USD de 291.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.36 x 3.3848 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.36 x 8.4621 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position 2.36
  • Taille de position USD 291.96
  • Perte potentielle 7.99
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
6.84 % 20 $
SL % Target SL $ Target
2.74 % 8 $
PNL PNL %
-8 $ -2.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8534 % 104.29 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 115.2479
            [entry_price] => 123.71
            [stop_loss] => 127.43328
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-12 09:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 115.2479
            [entry_price] => 123.71
            [stop_loss] => 127.77176
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-12 09:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 115.2479
            [entry_price] => 123.71
            [stop_loss] => 128.11024
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-12 12:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 115.2479
            [entry_price] => 123.71
            [stop_loss] => 128.7872
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-12 12:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.09
            [max_drawdown] => 4.18
            [rr_ratio] => 1.46
            [high] => 127.89000000
            [low] => 117.62000000
            [mfe_pct] => 4.92
            [mae_pct] => 3.38
            [mfe_mae_ratio] => 1.46
            [candles_analyzed] => 24
            [start_at] => 2026-05-12T09:07:09-04:00
            [end_at] => 2026-05-12T11:07:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.56
            [max_drawdown] => 4.18
            [rr_ratio] => 2.05
            [high] => 127.89000000
            [low] => 115.15000000
            [mfe_pct] => 6.92
            [mae_pct] => 3.38
            [mfe_mae_ratio] => 2.05
            [candles_analyzed] => 84
            [start_at] => 2026-05-12T09:07:09-04:00
            [end_at] => 2026-05-12T16:07:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 126.51000000
            [high_after] => 127.89000000
            [low_before] => 122.54000000
            [low_after] => 115.15000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#45 / n/a OUT
seuil : top 15 · score du 12/05/2026 09:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime