12 May 2026 at 07:34:54

Short Trade on INTC (BosPullback)

With 2.57 INTC at 123.95$ per unit. Take profit: 116.1808 (6.27 %) & Stop Loss: 127.0577 (2.51 %)

Short BosPullback on INTC (12 May 2026 at 07:34:54 to 09:35:00 - 2 hours )

With 2.5743 INTC at 123.95$ per unit.

Position size of 319.079 $
Take profit at 116.1808 (6.27 %) and Stop Loss at 127.0577 (2.51 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 3.94
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 : range_medium

rules_regime_5m : range_low

Score : 1

ml_regime : bear_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

12/05 07:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bear_medium

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=10|retests=1|break_atr=0.32|prog=0.38|zone=tested
  4. stop_price: 127.05769428
  5. tp_price: 116.18076429
  6. atr:
  7. score: 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 : range
  11. confidence : 0.798
  12. trend_strength : 0.1009
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.5427
  15. low_delta_atr : -2.4409
  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 : 0.9073
  22. swing_entropy : 1
  23. breakout_strength : -2.9828
  24. distance_to_last_high_atr : -1.4401
  25. distance_to_last_low_atr : 2.3384
  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:
    146
  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 : 0.518
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3319
  49. scores_strength_score:
    0.5134
  50. scores_quality_score:
    0.3576
  51. scores_cleanliness_score:
    0.26
  52. scores_structural_quality:
    0.4375
  53. scores_pullback_score:
    0.7101
  54. scores_exhaustion_score:
    0.3064
  55. scores_continuation_score:
    0.4158
  56. scores_structure_score:
    0.3927
  57. scores_volatility_expansion:
    0.3
  58. scores_momentum_type_score:
    0.538
  59. scores_risk_score:
    0.6092
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0551
  62. features_ema50_slope:
    -0.0232
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.1298
  65. features_price_vs_ema50:
    -1.2604
  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:
    10
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.48
  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:
    -1.2604
  78. features_impulse_decay_score:
    0.344
  79. features_opposing_wick_pressure:
    0.2339
  80. features_volatility_percentile:
    0.5
  81. features_volatility_delta:
    -0.3757
  82. features_body_ratio:
    0.4327
  83. features_closes_position_ratio:
    0.4334
  84. features_slope_consistency:
    0.8219
  85. features_range_position:
    0.6092
  86. features_distance_to_recent_high:
    -5.6683
  87. features_distance_to_recent_low:
    8.8362
  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 07:15:00
        [price] => 133.76
        [kind] => high
        [label] => 
    )
    
  123. pivots_15m_1:
    Array
    (
        [time] => 2026-05-11 08:30:00
        [price] => 128.93
        [kind] => low
        [label] => 
    )
    
  124. pivots_15m_2:
    Array
    (
        [time] => 2026-05-11 09:30:00
        [price] => 133.07
        [kind] => high
        [label] => 
    )
    
  125. pivots_15m_3:
    Array
    (
        [time] => 2026-05-11 10:30:00
        [price] => 124.16
        [kind] => low
        [label] => LL
    )
    
  126. pivots_15m_4:
    Array
    (
        [time] => 2026-05-11 12:00:00
        [price] => 128.85
        [kind] => high
        [label] => LH
    )
    
  127. pivots_15m_5:
    Array
    (
        [time] => 2026-05-11 13:15:00
        [price] => 125.51
        [kind] => low
        [label] => HL
    )
    
  128. pivots_15m_6:
    Array
    (
        [time] => 2026-05-11 14:15:00
        [price] => 129.25
        [kind] => high
        [label] => LH
    )
    
  129. pivots_15m_7:
    Array
    (
        [time] => 2026-05-11 15:30:00
        [price] => 126.53
        [kind] => low
        [label] => HL
    )
    
  130. pivots_15m_8:
    Array
    (
        [time] => 2026-05-11 15:45:00
        [price] => 130.06
        [kind] => high
        [label] => HH
    )
    
  131. pivots_15m_9:
    Array
    (
        [time] => 2026-05-11 21:30:00
        [price] => 119.16
        [kind] => low
        [label] => LL
    )
    
  132. pivots_15m_10:
    Array
    (
        [time] => 2026-05-11 23:00:00
        [price] => 126
        [kind] => high
        [label] => LH
    )
    
  133. pivots_15m_11:
    Array
    (
        [time] => 2026-05-12 00:45:00
        [price] => 123.66
        [kind] => low
        [label] => HL
    )
    
  134. pivots_15m_12:
    Array
    (
        [time] => 2026-05-12 01:15:00
        [price] => 125.35
        [kind] => high
        [label] => LH
    )
    
  135. pivots_15m_13:
    Array
    (
        [time] => 2026-05-12 03:00:00
        [price] => 123.48
        [kind] => low
        [label] => HL
    )
    
  136. pivots_15m_14:
    Array
    (
        [time] => 2026-05-12 03:45:00
        [price] => 126.02
        [kind] => high
        [label] => HH
    )
    
  137. pivots_15m_15:
    Array
    (
        [time] => 2026-05-12 04:15:00
        [price] => 124.57
        [kind] => low
        [label] => HL
    )
    
  138. pivots_15m_16:
    Array
    (
        [time] => 2026-05-12 04:45:00
        [price] => 126.9
        [kind] => high
        [label] => HH
    )
    
  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_medium
  159. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 07:34 123.95000000 0%
2 07:41 123.92000000 -0.024%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 80%

Trend

Trend Strength
0.101
Persistence
0.500
High Δ ATR
-1.543
Low Δ ATR
-2.441

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.
-2.983
Dist High ATR
-1.440
Dist Low ATR
2.338
24 pivots · 23 swings · Last pivot: ↑ 126.9000 @ bar 146

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 0.332
Strength Score 0.513
Quality Score 0.358
Cleanliness Score 0.260
Structural Quality 0.438
Pullback Score 0.710
Exhaustion Score 0.306
Continuation Score 0.416
Structure Score 0.393
Volatility Expansion 0.300
Momentum Type Score 0.538
Risk Score 0.609
Features
Ema20 Slope
-0.055
Ema50 Slope
-0.023
Ema Alignment Score
0.000
Price Vs Ema20
-1.130
Price Vs Ema50
-1.260
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
10.000
Candle Overlap Ratio
1.000
Wick Ratio
0.480
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
-1.260
Impulse Decay Score
0.344
Opposing Wick Pressure
0.234
Volatility Percentile
0.500
Volatility Delta
-0.376
Body Ratio
0.433
Closes Position Ratio
0.433
Slope Consistency
0.822
Range Position
0.609
Distance To Recent High
-5.668
Distance To Recent Low
8.836
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
07:34:54
12 May 2026
09:35:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
123.95 127.0577 116.1808 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 123.95
  • Stop Loss: 127.0577
  • Take Profit: 116.1808

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 127.0577 - 123.95 = 3.1077

  • Récompense (distance jusqu'au take profit):

    E - TP = 123.95 - 116.1808 = 7.7692

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 7.7692 / 3.1077 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
319.079 100 2.5743 3.19
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 3.1077

Taille de position = 8 / 3.1077 = 2.57

Taille de position USD = 2.57 x 123.95 = 318.55

Donc, tu peux acheter 2.57 avec un stoploss a 127.0577

Avec un position size USD de 318.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.57 x 3.1077 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.57 x 7.7692 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position 2.57
  • Taille de position USD 318.55
  • Perte potentielle 7.99
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
6.27 % 20 $
SL % Target SL $ Target
2.51 % 8 $
PNL PNL %
-8 $ -2.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6543 % 105.87 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 116.1808
            [entry_price] => 123.95
            [stop_loss] => 127.36847
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-12 09:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 116.1808
            [entry_price] => 123.95
            [stop_loss] => 127.67924
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-12 09:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 116.1808
            [entry_price] => 123.95
            [stop_loss] => 127.99001
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-12 11:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 116.1808
            [entry_price] => 123.95
            [stop_loss] => 128.61155
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-12 11:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.41
            [max_drawdown] => 1.87
            [rr_ratio] => 0.75
            [high] => 125.82000000
            [low] => 122.54000000
            [mfe_pct] => 1.14
            [mae_pct] => 1.51
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2026-05-12T07:34:54-04:00
            [end_at] => 2026-05-12T09:34:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.8
            [max_drawdown] => 3.94
            [rr_ratio] => 2.23
            [high] => 127.89000000
            [low] => 115.15000000
            [mfe_pct] => 7.1
            [mae_pct] => 3.18
            [mfe_mae_ratio] => 2.23
            [candles_analyzed] => 84
            [start_at] => 2026-05-12T07:34:54-04:00
            [end_at] => 2026-05-12T14:34:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 126.90000000
            [high_after] => 127.89000000
            [low_before] => 123.70000000
            [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
#33 / n/a OUT
seuil : top 15 · score du 12/05/2026 07:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime