13 May 2026 at 07:53:59

Short Trade on ICP (WedgePullback)

With 104.04 ICP at 3.245$ per unit. Take profit: 3.0143 (7.11 %) & Stop Loss: 3.3219 (2.37 %)

Short WedgePullback on ICP (13 May 2026 at 07:53:59 to 18:05:00 - 10 hours )

With 104.0407 ICP at 3.245$ per unit.

Position size of 337.6121 $
Take profit at 3.0143 (7.11 %) and Stop Loss at 3.3219 (2.37 %)

That's a 3 RR Trade
Duration: 10 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 8
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 : range_low

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

13/05 07:00

BTC Correlation Coin Market Regime

4H_regime : bull_high

1H_regime : bear_high

15m_regime : range_medium

Signal

WedgePullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.762
  3. reason: ascending_wedge_lh_anticipation
  4. stop_price: 3.32189297
  5. tp_price: 3.0143211
  6. atr:
  7. score: 0.762
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_down
  11. confidence : 0.792
  12. trend_strength : -0.0657
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.452
  15. low_delta_atr : -2.5863
  16. current_swing_amp_atr : 4.6646
  17. current_swing_speed : 0.51829
  18. current_swing_efficiency : 0.4905
  19. retracement_ratio : 0.9095
  20. extension_ratio : 1.8854
  21. compression_score : 0.9242
  22. swing_entropy : 1
  23. breakout_strength : -2.7621
  24. distance_to_last_high_atr : -2.3101
  25. distance_to_last_low_atr : 2.2348
  26. pivot_count : 19
  27. swing_count : 18
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    3.319
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.582
  46. state : down_bearish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3295
  49. scores_strength_score:
    0.6173
  50. scores_quality_score:
    0.3429
  51. scores_cleanliness_score:
    0.2323
  52. scores_structural_quality:
    0.4333
  53. scores_pullback_score:
    0.9095
  54. scores_exhaustion_score:
    0.183
  55. scores_continuation_score:
    0.4519
  56. scores_structure_score:
    0.3635
  57. scores_volatility_expansion:
    0.2287
  58. scores_momentum_type_score:
    0.4831
  59. scores_risk_score:
    0.1401
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0955
  62. features_ema50_slope:
    -0.008
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2279
  65. features_price_vs_ema50:
    -1.182
  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:
    11
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5354
  72. features_trend_efficiency:
    0.4905
  73. features_impulse_strength:
    4.6646
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.9095
  76. features_pullback_depth_atr:
    4.2887
  77. features_extension_from_mean:
    -1.182
  78. features_impulse_decay_score:
    0.0573
  79. features_opposing_wick_pressure:
    0.2267
  80. features_volatility_percentile:
    0.28
  81. features_volatility_delta:
    -0.209
  82. features_body_ratio:
    0.4551
  83. features_closes_position_ratio:
    0.4873
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.1401
  86. features_distance_to_recent_high:
    -22.0989
  87. features_distance_to_recent_low:
    3.6017
  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. strategy_details
  98. strategy : wedge_pullback
  99. ms_state_4h : range
  100. ms_state_1h : pullback_down
  101. strategy_details
  102. wedge_4h_type: ascending_wedge
  103. wedge_4h_strength:
    0.31
  104. wedge_4h_bias: bearish_breakout
  105. wedge_4h_breakout_type: ascending_wedge
  106. wedge_4h_breakout_strength:
    0.31
  107. wedge_4h_upper_line:
    Array
    (
        [0] => Array
            (
                [time] => 1777982400
                [value] => 3.24334354
            )
    
        [1] => Array
            (
                [time] => 1777996800
                [value] => 3.25959524
            )
    
        [2] => Array
            (
                [time] => 1778011200
                [value] => 3.27584694
            )
    
        [3] => Array
            (
                [time] => 1778025600
                [value] => 3.29209864
            )
    
        [4] => Array
            (
                [time] => 1778040000
                [value] => 3.30835034
            )
    
        [5] => Array
            (
                [time] => 1778054400
                [value] => 3.32460204
            )
    
        [6] => Array
            (
                [time] => 1778068800
                [value] => 3.34085374
            )
    
        [7] => Array
            (
                [time] => 1778083200
                [value] => 3.35710544
            )
    
        [8] => Array
            (
                [time] => 1778097600
                [value] => 3.37335714
            )
    
        [9] => Array
            (
                [time] => 1778112000
                [value] => 3.38960884
            )
    
        [10] => Array
            (
                [time] => 1778126400
                [value] => 3.40586054
            )
    
        [11] => Array
            (
                [time] => 1778140800
                [value] => 3.42211224
            )
    
        [12] => Array
            (
                [time] => 1778155200
                [value] => 3.43836395
            )
    
        [13] => Array
            (
                [time] => 1778169600
                [value] => 3.45461565
            )
    
        [14] => Array
            (
                [time] => 1778184000
                [value] => 3.47086735
            )
    
        [15] => Array
            (
                [time] => 1778198400
                [value] => 3.48711905
            )
    
        [16] => Array
            (
                [time] => 1778212800
                [value] => 3.50337075
            )
    
        [17] => Array
            (
                [time] => 1778227200
                [value] => 3.51962245
            )
    
        [18] => Array
            (
                [time] => 1778241600
                [value] => 3.53587415
            )
    
        [19] => Array
            (
                [time] => 1778256000
                [value] => 3.55212585
            )
    
        [20] => Array
            (
                [time] => 1778270400
                [value] => 3.56837755
            )
    
        [21] => Array
            (
                [time] => 1778284800
                [value] => 3.58462925
            )
    
        [22] => Array
            (
                [time] => 1778299200
                [value] => 3.60088095
            )
    
        [23] => Array
            (
                [time] => 1778313600
                [value] => 3.61713265
            )
    
        [24] => Array
            (
                [time] => 1778328000
                [value] => 3.63338435
            )
    
        [25] => Array
            (
                [time] => 1778342400
                [value] => 3.64963605
            )
    
        [26] => Array
            (
                [time] => 1778356800
                [value] => 3.66588776
            )
    
        [27] => Array
            (
                [time] => 1778371200
                [value] => 3.68213946
            )
    
        [28] => Array
            (
                [time] => 1778385600
                [value] => 3.69839116
            )
    
        [29] => Array
            (
                [time] => 1778400000
                [value] => 3.71464286
            )
    
        [30] => Array
            (
                [time] => 1778414400
                [value] => 3.73089456
            )
    
        [31] => Array
            (
                [time] => 1778428800
                [value] => 3.74714626
            )
    
        [32] => Array
            (
                [time] => 1778443200
                [value] => 3.76339796
            )
    
        [33] => Array
            (
                [time] => 1778457600
                [value] => 3.77964966
            )
    
        [34] => Array
            (
                [time] => 1778472000
                [value] => 3.79590136
            )
    
        [35] => Array
            (
                [time] => 1778486400
                [value] => 3.81215306
            )
    
        [36] => Array
            (
                [time] => 1778500800
                [value] => 3.82840476
            )
    
        [37] => Array
            (
                [time] => 1778515200
                [value] => 3.84465646
            )
    
        [38] => Array
            (
                [time] => 1778529600
                [value] => 3.86090816
            )
    
        [39] => Array
            (
                [time] => 1778544000
                [value] => 3.87715986
            )
    
        [40] => Array
            (
                [time] => 1778558400
                [value] => 3.89341156
            )
    
        [41] => Array
            (
                [time] => 1778572800
                [value] => 3.90966327
            )
    
        [42] => Array
            (
                [time] => 1778587200
                [value] => 3.92591497
            )
    
        [43] => Array
            (
                [time] => 1778601600
                [value] => 3.94216667
            )
    
    )
    
  108. wedge_4h_lower_line:
    Array
    (
        [0] => Array
            (
                [time] => 1777982400
                [value] => 2.58515882
            )
    
        [1] => Array
            (
                [time] => 1777996800
                [value] => 2.60872353
            )
    
        [2] => Array
            (
                [time] => 1778011200
                [value] => 2.63228824
            )
    
        [3] => Array
            (
                [time] => 1778025600
                [value] => 2.65585294
            )
    
        [4] => Array
            (
                [time] => 1778040000
                [value] => 2.67941765
            )
    
        [5] => Array
            (
                [time] => 1778054400
                [value] => 2.70298235
            )
    
        [6] => Array
            (
                [time] => 1778068800
                [value] => 2.72654706
            )
    
        [7] => Array
            (
                [time] => 1778083200
                [value] => 2.75011176
            )
    
        [8] => Array
            (
                [time] => 1778097600
                [value] => 2.77367647
            )
    
        [9] => Array
            (
                [time] => 1778112000
                [value] => 2.79724118
            )
    
        [10] => Array
            (
                [time] => 1778126400
                [value] => 2.82080588
            )
    
        [11] => Array
            (
                [time] => 1778140800
                [value] => 2.84437059
            )
    
        [12] => Array
            (
                [time] => 1778155200
                [value] => 2.86793529
            )
    
        [13] => Array
            (
                [time] => 1778169600
                [value] => 2.8915
            )
    
        [14] => Array
            (
                [time] => 1778184000
                [value] => 2.91506471
            )
    
        [15] => Array
            (
                [time] => 1778198400
                [value] => 2.93862941
            )
    
        [16] => Array
            (
                [time] => 1778212800
                [value] => 2.96219412
            )
    
        [17] => Array
            (
                [time] => 1778227200
                [value] => 2.98575882
            )
    
        [18] => Array
            (
                [time] => 1778241600
                [value] => 3.00932353
            )
    
        [19] => Array
            (
                [time] => 1778256000
                [value] => 3.03288824
            )
    
        [20] => Array
            (
                [time] => 1778270400
                [value] => 3.05645294
            )
    
        [21] => Array
            (
                [time] => 1778284800
                [value] => 3.08001765
            )
    
        [22] => Array
            (
                [time] => 1778299200
                [value] => 3.10358235
            )
    
        [23] => Array
            (
                [time] => 1778313600
                [value] => 3.12714706
            )
    
        [24] => Array
            (
                [time] => 1778328000
                [value] => 3.15071176
            )
    
        [25] => Array
            (
                [time] => 1778342400
                [value] => 3.17427647
            )
    
        [26] => Array
            (
                [time] => 1778356800
                [value] => 3.19784118
            )
    
        [27] => Array
            (
                [time] => 1778371200
                [value] => 3.22140588
            )
    
        [28] => Array
            (
                [time] => 1778385600
                [value] => 3.24497059
            )
    
        [29] => Array
            (
                [time] => 1778400000
                [value] => 3.26853529
            )
    
        [30] => Array
            (
                [time] => 1778414400
                [value] => 3.2921
            )
    
        [31] => Array
            (
                [time] => 1778428800
                [value] => 3.31566471
            )
    
        [32] => Array
            (
                [time] => 1778443200
                [value] => 3.33922941
            )
    
        [33] => Array
            (
                [time] => 1778457600
                [value] => 3.36279412
            )
    
        [34] => Array
            (
                [time] => 1778472000
                [value] => 3.38635882
            )
    
        [35] => Array
            (
                [time] => 1778486400
                [value] => 3.40992353
            )
    
        [36] => Array
            (
                [time] => 1778500800
                [value] => 3.43348824
            )
    
        [37] => Array
            (
                [time] => 1778515200
                [value] => 3.45705294
            )
    
        [38] => Array
            (
                [time] => 1778529600
                [value] => 3.48061765
            )
    
        [39] => Array
            (
                [time] => 1778544000
                [value] => 3.50418235
            )
    
        [40] => Array
            (
                [time] => 1778558400
                [value] => 3.52774706
            )
    
        [41] => Array
            (
                [time] => 1778572800
                [value] => 3.55131176
            )
    
        [42] => Array
            (
                [time] => 1778587200
                [value] => 3.57487647
            )
    
        [43] => Array
            (
                [time] => 1778601600
                [value] => 3.59844118
            )
    
    )
    
  109. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1778500800
        [price] => 3.38
    )
    
  110. strategy_details
  111. pivots_4h_0:
    Array
    (
        [time] => 2026-04-19 16:00:00
        [price] => 2.396
        [kind] => low
        [label] => LL
    )
    
  112. pivots_4h_1:
    Array
    (
        [time] => 2026-04-21 04:00:00
        [price] => 2.503
        [kind] => high
        [label] => LH
    )
    
  113. pivots_4h_2:
    Array
    (
        [time] => 2026-04-21 12:00:00
        [price] => 2.408
        [kind] => low
        [label] => HL
    )
    
  114. pivots_4h_3:
    Array
    (
        [time] => 2026-04-22 08:00:00
        [price] => 2.563
        [kind] => high
        [label] => HH
    )
    
  115. pivots_4h_4:
    Array
    (
        [time] => 2026-04-25 12:00:00
        [price] => 2.409
        [kind] => low
        [label] => HL
    )
    
  116. pivots_4h_5:
    Array
    (
        [time] => 2026-04-27 00:00:00
        [price] => 2.488
        [kind] => high
        [label] => LH
    )
    
  117. pivots_4h_6:
    Array
    (
        [time] => 2026-04-27 12:00:00
        [price] => 2.373
        [kind] => low
        [label] => LL
    )
    
  118. pivots_4h_7:
    Array
    (
        [time] => 2026-04-29 04:00:00
        [price] => 2.466
        [kind] => high
        [label] => LH
    )
    
  119. pivots_4h_8:
    Array
    (
        [time] => 2026-04-29 12:00:00
        [price] => 2.314
        [kind] => low
        [label] => LL
    )
    
  120. pivots_4h_9:
    Array
    (
        [time] => 2026-04-30 08:00:00
        [price] => 2.43
        [kind] => high
        [label] => LH
    )
    
  121. pivots_4h_10:
    Array
    (
        [time] => 2026-05-02 00:00:00
        [price] => 2.313
        [kind] => low
        [label] => HL
    )
    
  122. pivots_4h_11:
    Array
    (
        [time] => 2026-05-05 08:00:00
        [price] => 2.613
        [kind] => high
        [label] => HH
    )
    
  123. pivots_4h_12:
    Array
    (
        [time] => 2026-05-05 12:00:00
        [price] => 2.48
        [kind] => low
        [label] => HL
    )
    
  124. pivots_4h_13:
    Array
    (
        [time] => 2026-05-06 20:00:00
        [price] => 3.269
        [kind] => high
        [label] => HH
    )
    
  125. pivots_4h_14:
    Array
    (
        [time] => 2026-05-07 00:00:00
        [price] => 2.916
        [kind] => low
        [label] => HL
    )
    
  126. pivots_4h_15:
    Array
    (
        [time] => 2026-05-07 08:00:00
        [price] => 3.216
        [kind] => high
        [label] => LH
    )
    
  127. pivots_4h_16:
    Array
    (
        [time] => 2026-05-07 12:00:00
        [price] => 2.902
        [kind] => low
        [label] => HL
    )
    
  128. pivots_4h_17:
    Array
    (
        [time] => 2026-05-08 20:00:00
        [price] => 4.086
        [kind] => high
        [label] => HH
    )
    
  129. pivots_4h_18:
    Array
    (
        [time] => 2026-05-10 16:00:00
        [price] => 3.268
        [kind] => low
        [label] => HL
    )
    
  130. pivots_4h_19:
    Array
    (
        [time] => 2026-05-11 08:00:00
        [price] => 3.605
        [kind] => high
        [label] => LH
    )
    
  131. strategy_details
  132. pivots_1h_0:
    Array
    (
        [time] => 2026-05-07 08:00:00
        [price] => 3.216
        [kind] => high
        [label] => 
    )
    
  133. pivots_1h_1:
    Array
    (
        [time] => 2026-05-07 13:00:00
        [price] => 2.902
        [kind] => low
        [label] => 
    )
    
  134. pivots_1h_2:
    Array
    (
        [time] => 2026-05-07 20:00:00
        [price] => 3.097
        [kind] => high
        [label] => 
    )
    
  135. pivots_1h_3:
    Array
    (
        [time] => 2026-05-07 22:00:00
        [price] => 2.97
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_4:
    Array
    (
        [time] => 2026-05-08 03:00:00
        [price] => 3.324
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_5:
    Array
    (
        [time] => 2026-05-08 10:00:00
        [price] => 3.087
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_6:
    Array
    (
        [time] => 2026-05-08 16:00:00
        [price] => 3.701
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_7:
    Array
    (
        [time] => 2026-05-08 17:00:00
        [price] => 3.439
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_8:
    Array
    (
        [time] => 2026-05-08 21:00:00
        [price] => 4.086
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_9:
    Array
    (
        [time] => 2026-05-10 10:00:00
        [price] => 3.363
        [kind] => low
        [label] => LL
    )
    
  142. pivots_1h_10:
    Array
    (
        [time] => 2026-05-10 12:00:00
        [price] => 3.452
        [kind] => high
        [label] => LH
    )
    
  143. pivots_1h_11:
    Array
    (
        [time] => 2026-05-10 16:00:00
        [price] => 3.268
        [kind] => low
        [label] => LL
    )
    
  144. pivots_1h_12:
    Array
    (
        [time] => 2026-05-10 18:00:00
        [price] => 3.383
        [kind] => high
        [label] => LH
    )
    
  145. pivots_1h_13:
    Array
    (
        [time] => 2026-05-10 23:00:00
        [price] => 3.275
        [kind] => low
        [label] => HL
    )
    
  146. pivots_1h_14:
    Array
    (
        [time] => 2026-05-11 09:00:00
        [price] => 3.605
        [kind] => high
        [label] => HH
    )
    
  147. pivots_1h_15:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 3.241
        [kind] => low
        [label] => LL
    )
    
  148. pivots_1h_16:
    Array
    (
        [time] => 2026-05-12 04:00:00
        [price] => 3.337
        [kind] => high
        [label] => LH
    )
    
  149. pivots_1h_17:
    Array
    (
        [time] => 2026-05-12 20:00:00
        [price] => 3.138
        [kind] => low
        [label] => LL
    )
    
  150. pivots_1h_18:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 3.319
        [kind] => high
        [label] => LH
    )
    
  151. strategy_details
  152. levels_hl_price:
    3.138
  153. levels_hl_timestamp: 2026-05-12 20:00:00
  154. levels_hh_price:
    3.319
  155. levels_lh_price:
    3.319
  156. levels_lh_timestamp: 2026-05-13 05:00:00
  157. levels_ll_price:
    3.138
  158. ¸
  159. regimes
  160. 4H : bull_high
  161. 1H : bear_high
  162. 15m : range_medium
  163. ¸
  164. trend_analyzer_4h
  165. direction : neutral
  166. phase : range
  167. structure : range
  168. breakout_state : none
  169. quality : volatile
  170. strength : moderate
  171. exhaustion : medium
  172. momentum_type : grind
  173. volatility_regime : compression
  174. htf_context : unknown
  175. risk_state : mid_range
  176. confidence : 0.453
  177. state : neutral_range_grind
  178. trend_analyzer_4h
  179. scores_direction_score:
    0.5865
  180. scores_strength_score:
    0.4621
  181. scores_quality_score:
    0.2854
  182. scores_cleanliness_score:
    0.2207
  183. scores_structural_quality:
    0.3383
  184. scores_pullback_score:
    0.412
  185. scores_exhaustion_score:
    0.4809
  186. scores_continuation_score:
    0.6903
  187. scores_structure_score:
    0.6425
  188. scores_volatility_expansion:
    0.072
  189. scores_momentum_type_score:
    0.5108
  190. scores_risk_score:
    0.5155
  191. trend_analyzer_4h
  192. features_ema20_slope:
    -0.087
  193. features_ema50_slope:
    0.03
  194. features_ema_alignment_score:
    0.6667
  195. features_price_vs_ema20:
    -0.6097
  196. features_price_vs_ema50:
    0.7555
  197. features_recent_hh_hl_score:
    0.55
  198. features_recent_lh_ll_score:
    0.45
  199. features_last_bos_direction:
    1
  200. features_bars_since_last_bos:
    26
  201. features_candle_overlap_ratio:
    1
  202. features_wick_ratio:
    0.5586
  203. features_trend_efficiency:
    0.4026
  204. features_impulse_strength:
    2.2104
  205. features_directional_candle_ratio:
    0.55
  206. features_pullback_depth_ratio:
    0.412
  207. features_pullback_depth_atr:
    2.3481
  208. features_extension_from_mean:
    0.7555
  209. features_impulse_decay_score:
    0.8577
  210. features_opposing_wick_pressure:
    0.2868
  211. features_volatility_percentile:
    0.12
  212. features_volatility_delta:
    -0.446
  213. features_body_ratio:
    0.3877
  214. features_closes_position_ratio:
    0.4519
  215. features_slope_consistency:
    0.6356
  216. features_range_position:
    0.5155
  217. features_distance_to_recent_high:
    -8.9378
  218. features_distance_to_recent_low:
    9.51
  219. features_had_recent_range:
    1
  220. features_had_recent_compression:
    1
  221. features_post_break_hl_count:
    1
  222. features_htf_trend_strength:
    
                                                                                                                                
  223. features_htf_compression_score:
    
                                                                                                                                
  224. features_htf_entropy_score:
    
                                                                                                                                
  225. features_htf_hh_hl_score:
    
                                                                                                                                
  226. features_htf_state_str:
    
                                                                                                                                
  227. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 07:53 3.24500000 0%
2 07:58 3.24500000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 79%

Trend

Trend Strength
-0.066
Persistence
0.500
High Δ ATR
-0.452
Low Δ ATR
-2.586

Current Swing

Amp ATR
4.665
Speed
0.518
Efficiency
0.491

Structure

Retracement
0.910
Extension
1.885
Compression
0.924
Entropy
1.000
Breakout Str.
-2.762
Dist High ATR
-2.310
Dist Low ATR
2.235
19 pivots · 18 swings · Last pivot: ↑ 3.3190 @ bar 147

Trend Analyzer 1H

1H ↓ down down_bearish_transition_balanced
Confidence 58%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.330
Strength Score 0.617
Quality Score 0.343
Cleanliness Score 0.232
Structural Quality 0.433
Pullback Score 0.910
Exhaustion Score 0.183
Continuation Score 0.452
Structure Score 0.364
Volatility Expansion 0.229
Momentum Type Score 0.483
Risk Score 0.140
Features
Ema20 Slope
0.096
Ema50 Slope
-0.008
Ema Alignment Score
0.000
Price Vs Ema20
-0.228
Price Vs Ema50
-1.182
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
11.000
Candle Overlap Ratio
1.000
Wick Ratio
0.535
Trend Efficiency
0.491
Impulse Strength
4.665
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.910
Pullback Depth Atr
4.289
Extension From Mean
-1.182
Impulse Decay Score
0.057
Opposing Wick Pressure
0.227
Volatility Percentile
0.280
Volatility Delta
-0.209
Body Ratio
0.455
Closes Position Ratio
0.487
Slope Consistency
0.000
Range Position
0.140
Distance To Recent High
-22.099
Distance To Recent Low
3.602
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Trend Analyzer 4H

1H ↔ neutral neutral_range_grind
Confidence 45%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.587
Strength Score 0.462
Quality Score 0.285
Cleanliness Score 0.221
Structural Quality 0.338
Pullback Score 0.412
Exhaustion Score 0.481
Continuation Score 0.690
Structure Score 0.643
Volatility Expansion 0.072
Momentum Type Score 0.511
Risk Score 0.516
Features
Ema20 Slope
-0.087
Ema50 Slope
0.030
Ema Alignment Score
0.667
Price Vs Ema20
-0.610
Price Vs Ema50
0.756
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
26.000
Candle Overlap Ratio
1.000
Wick Ratio
0.559
Trend Efficiency
0.403
Impulse Strength
2.210
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.412
Pullback Depth Atr
2.348
Extension From Mean
0.756
Impulse Decay Score
0.858
Opposing Wick Pressure
0.287
Volatility Percentile
0.120
Volatility Delta
-0.446
Body Ratio
0.388
Closes Position Ratio
0.452
Slope Consistency
0.636
Range Position
0.516
Distance To Recent High
-8.938
Distance To Recent Low
9.510
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

📌 Time Data

Start at Closed at Duration
13 May 2026
07:53:59
13 May 2026
18:05:00
10 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.245 3.3219 3.0143 3 2.277
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 3.245
  • Stop Loss: 3.3219
  • Take Profit: 3.0143

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.3219 - 3.245 = 0.0769

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.245 - 3.0143 = 0.2307

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2307 / 0.0769 = 3

📌 Position Size

Amount Margin Quantity Leverage
337.6121 100 104.0407 3.38
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 0.0769

Taille de position = 8 / 0.0769 = 104.03

Taille de position USD = 104.03 x 3.245 = 337.58

Donc, tu peux acheter 104.03 avec un stoploss a 3.3219

Avec un position size USD de 337.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 104.03 x 0.0769 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 104.03 x 0.2307 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position 104.03
  • Taille de position USD 337.58
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
7.11 % 24 $
SL % Target SL $ Target
2.37 % 8 $
PNL PNL %
24 $ 7.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.0912
            [stop_loss] => 3.3219
            [rr_ratio] => 2
            [closed_at] => 2026-05-13 11:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.05275
            [stop_loss] => 3.3219
            [rr_ratio] => 2.5
            [closed_at] => 2026-05-13 11:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.124
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.23300000
            [low] => 3.12100000
            [mfe_pct] => 3.82
            [mae_pct] => -0.37
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-05-13T07:53:59-04:00
            [end_at] => 2026-05-13T09:53:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.214
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.23300000
            [low] => 3.03100000
            [mfe_pct] => 6.59
            [mae_pct] => -0.37
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2026-05-13T07:53:59-04:00
            [end_at] => 2026-05-13T14:53:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.31900000
            [high_after] => 3.23300000
            [low_before] => 3.22600000
            [low_after] => 3.03100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#71 / n/a OK
seuil : top 15 · score du 13/05/2026 03:00
Signal Confidence
76 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime