20 May 2026 at 08:47:20

Short Trade on RIVER (WedgePullback)

With 46.85 RIVER at 6.217$ per unit. Take profit: 5.7047 (8.24 %) & Stop Loss: 6.3878 (2.75 %)

Short WedgePullback on RIVER (20 May 2026 at 08:47:20 to 10:15:00 - 1 day )

With 46.8481 RIVER at 6.217$ per unit.

Position size of 291.2545 $
Take profit at 5.7047 (8.24 %) and Stop Loss at 6.3878 (2.75 %)

That's a 3 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.92
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

20/05 08:06

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : bear_high

15m_regime : bear_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate fading compression bear_high
61%
19/05 20:00
1h ↓ down transition bearish_transition moderate fading compression bear_high
67%
20/05 05:00
15m ↓ down range range moderate grind compression bear_high
73%
20/05 06:15
5m ↓ down range range moderate grind compression bear_medium
68%
20/05 06:55

Signal

WedgePullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.7
  3. reason: ascending_wedge_lh_anticipation|ob:bid_pressure(-0.10)
  4. stop_price: 6.38776477
  5. tp_price: 5.70470569
  6. atr:
  7. score: 0.8
  8. confidence_pre_ob: 0.8
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : impulse_down
  11. confidence : 1
  12. trend_strength : -0.2673
  13. trend_persistence : 0.5
  14. high_delta_atr : -12.1907
  15. low_delta_atr : -6.9147
  16. current_swing_amp_atr : 1.869
  17. current_swing_speed : 0.20767
  18. current_swing_efficiency : 0.2235
  19. retracement_ratio : 0.1536
  20. extension_ratio : 0.2954
  21. compression_score : 2.0556
  22. swing_entropy : 1
  23. breakout_strength : -13.3811
  24. distance_to_last_high_atr : -1.1904
  25. distance_to_last_low_atr : 1.0214
  26. pivot_count : 23
  27. swing_count : 22
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    6.379
  31. last_pivot_index:
    138
  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 : high
  41. momentum_type : fading
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.501
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2334
  49. scores_strength_score:
    0.5106
  50. scores_quality_score:
    0.3131
  51. scores_cleanliness_score:
    0.1783
  52. scores_structural_quality:
    0.4233
  53. scores_pullback_score:
    0.1536
  54. scores_exhaustion_score:
    0.7329
  55. scores_continuation_score:
    0.2485
  56. scores_structure_score:
    0.2682
  57. scores_volatility_expansion:
    0.012
  58. scores_momentum_type_score:
    0.4507
  59. scores_risk_score:
    0.0766
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1432
  62. features_ema50_slope:
    -0.172
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.8725
  65. features_price_vs_ema50:
    -3.6615
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    20
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6434
  72. features_trend_efficiency:
    0.2235
  73. features_impulse_strength:
    10.3064
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.1536
  76. features_pullback_depth_atr:
    1.5831
  77. features_extension_from_mean:
    -3.6615
  78. features_impulse_decay_score:
    0.8523
  79. features_opposing_wick_pressure:
    0.2864
  80. features_volatility_percentile:
    0.02
  81. features_volatility_delta:
    -0.4034
  82. features_body_ratio:
    0.3188
  83. features_closes_position_ratio:
    0.4171
  84. features_slope_consistency:
    0.9023
  85. features_range_position:
    0.0766
  86. features_distance_to_recent_high:
    -14.7354
  87. features_distance_to_recent_low:
    1.2219
  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. orderbook_context
  98. obi_top5 : 0.1839
  99. obi_top10 : 0.2699
  100. micro_price : 6.2159561
  101. spread_pct : 0.032185
  102. mid_price : 6.215
  103. bid_wall_price : 6.16
  104. bid_wall_size : 10171
  105. bid_wall_dist_atr :
  106. ask_wall_price : 6.22
  107. ask_wall_size : 3819.8
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1794
  111. obi_top5_std : 0.024
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7037
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : range
  121. ms_state_1h : impulse_down
  122. strategy_details
  123. wedge_4h_type: ascending_wedge
  124. wedge_4h_strength:
    0.802
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.802
  128. wedge_4h_upper_line:
    Array
    (
        [0] => Array
            (
                [time] => 1778572800
                [value] => 7.801
            )
    
        [1] => Array
            (
                [time] => 1778587200
                [value] => 7.8073
            )
    
        [2] => Array
            (
                [time] => 1778601600
                [value] => 7.8136
            )
    
        [3] => Array
            (
                [time] => 1778616000
                [value] => 7.8199
            )
    
        [4] => Array
            (
                [time] => 1778630400
                [value] => 7.8262
            )
    
        [5] => Array
            (
                [time] => 1778644800
                [value] => 7.8325
            )
    
        [6] => Array
            (
                [time] => 1778659200
                [value] => 7.8388
            )
    
        [7] => Array
            (
                [time] => 1778673600
                [value] => 7.8451
            )
    
        [8] => Array
            (
                [time] => 1778688000
                [value] => 7.8514
            )
    
        [9] => Array
            (
                [time] => 1778702400
                [value] => 7.8577
            )
    
        [10] => Array
            (
                [time] => 1778716800
                [value] => 7.864
            )
    
        [11] => Array
            (
                [time] => 1778731200
                [value] => 7.8703
            )
    
        [12] => Array
            (
                [time] => 1778745600
                [value] => 7.8766
            )
    
        [13] => Array
            (
                [time] => 1778760000
                [value] => 7.8829
            )
    
        [14] => Array
            (
                [time] => 1778774400
                [value] => 7.8892
            )
    
        [15] => Array
            (
                [time] => 1778788800
                [value] => 7.8955
            )
    
        [16] => Array
            (
                [time] => 1778803200
                [value] => 7.9018
            )
    
        [17] => Array
            (
                [time] => 1778817600
                [value] => 7.9081
            )
    
        [18] => Array
            (
                [time] => 1778832000
                [value] => 7.9144
            )
    
        [19] => Array
            (
                [time] => 1778846400
                [value] => 7.9207
            )
    
        [20] => Array
            (
                [time] => 1778860800
                [value] => 7.927
            )
    
        [21] => Array
            (
                [time] => 1778875200
                [value] => 7.9333
            )
    
        [22] => Array
            (
                [time] => 1778889600
                [value] => 7.9396
            )
    
        [23] => Array
            (
                [time] => 1778904000
                [value] => 7.9459
            )
    
        [24] => Array
            (
                [time] => 1778918400
                [value] => 7.9522
            )
    
        [25] => Array
            (
                [time] => 1778932800
                [value] => 7.9585
            )
    
        [26] => Array
            (
                [time] => 1778947200
                [value] => 7.9648
            )
    
        [27] => Array
            (
                [time] => 1778961600
                [value] => 7.9711
            )
    
        [28] => Array
            (
                [time] => 1778976000
                [value] => 7.9774
            )
    
        [29] => Array
            (
                [time] => 1778990400
                [value] => 7.9837
            )
    
        [30] => Array
            (
                [time] => 1779004800
                [value] => 7.99
            )
    
        [31] => Array
            (
                [time] => 1779019200
                [value] => 7.9963
            )
    
        [32] => Array
            (
                [time] => 1779033600
                [value] => 8.0026
            )
    
        [33] => Array
            (
                [time] => 1779048000
                [value] => 8.0089
            )
    
        [34] => Array
            (
                [time] => 1779062400
                [value] => 8.0152
            )
    
        [35] => Array
            (
                [time] => 1779076800
                [value] => 8.0215
            )
    
        [36] => Array
            (
                [time] => 1779091200
                [value] => 8.0278
            )
    
        [37] => Array
            (
                [time] => 1779105600
                [value] => 8.0341
            )
    
        [38] => Array
            (
                [time] => 1779120000
                [value] => 8.0404
            )
    
        [39] => Array
            (
                [time] => 1779134400
                [value] => 8.0467
            )
    
        [40] => Array
            (
                [time] => 1779148800
                [value] => 8.053
            )
    
        [41] => Array
            (
                [time] => 1779163200
                [value] => 8.0593
            )
    
        [42] => Array
            (
                [time] => 1779177600
                [value] => 8.0656
            )
    
        [43] => Array
            (
                [time] => 1779192000
                [value] => 8.0719
            )
    
        [44] => Array
            (
                [time] => 1779206400
                [value] => 8.0782
            )
    
        [45] => Array
            (
                [time] => 1779220800
                [value] => 8.0845
            )
    
    )
    
  129. wedge_4h_lower_line:
    Array
    (
        [0] => Array
            (
                [time] => 1778572800
                [value] => 6.14396545
            )
    
        [1] => Array
            (
                [time] => 1778587200
                [value] => 6.17570659
            )
    
        [2] => Array
            (
                [time] => 1778601600
                [value] => 6.20744772
            )
    
        [3] => Array
            (
                [time] => 1778616000
                [value] => 6.23918885
            )
    
        [4] => Array
            (
                [time] => 1778630400
                [value] => 6.27092999
            )
    
        [5] => Array
            (
                [time] => 1778644800
                [value] => 6.30267112
            )
    
        [6] => Array
            (
                [time] => 1778659200
                [value] => 6.33441225
            )
    
        [7] => Array
            (
                [time] => 1778673600
                [value] => 6.36615339
            )
    
        [8] => Array
            (
                [time] => 1778688000
                [value] => 6.39789452
            )
    
        [9] => Array
            (
                [time] => 1778702400
                [value] => 6.42963565
            )
    
        [10] => Array
            (
                [time] => 1778716800
                [value] => 6.46137678
            )
    
        [11] => Array
            (
                [time] => 1778731200
                [value] => 6.49311792
            )
    
        [12] => Array
            (
                [time] => 1778745600
                [value] => 6.52485905
            )
    
        [13] => Array
            (
                [time] => 1778760000
                [value] => 6.55660018
            )
    
        [14] => Array
            (
                [time] => 1778774400
                [value] => 6.58834132
            )
    
        [15] => Array
            (
                [time] => 1778788800
                [value] => 6.62008245
            )
    
        [16] => Array
            (
                [time] => 1778803200
                [value] => 6.65182358
            )
    
        [17] => Array
            (
                [time] => 1778817600
                [value] => 6.68356472
            )
    
        [18] => Array
            (
                [time] => 1778832000
                [value] => 6.71530585
            )
    
        [19] => Array
            (
                [time] => 1778846400
                [value] => 6.74704698
            )
    
        [20] => Array
            (
                [time] => 1778860800
                [value] => 6.77878812
            )
    
        [21] => Array
            (
                [time] => 1778875200
                [value] => 6.81052925
            )
    
        [22] => Array
            (
                [time] => 1778889600
                [value] => 6.84227038
            )
    
        [23] => Array
            (
                [time] => 1778904000
                [value] => 6.87401152
            )
    
        [24] => Array
            (
                [time] => 1778918400
                [value] => 6.90575265
            )
    
        [25] => Array
            (
                [time] => 1778932800
                [value] => 6.93749378
            )
    
        [26] => Array
            (
                [time] => 1778947200
                [value] => 6.96923491
            )
    
        [27] => Array
            (
                [time] => 1778961600
                [value] => 7.00097605
            )
    
        [28] => Array
            (
                [time] => 1778976000
                [value] => 7.03271718
            )
    
        [29] => Array
            (
                [time] => 1778990400
                [value] => 7.06445831
            )
    
        [30] => Array
            (
                [time] => 1779004800
                [value] => 7.09619945
            )
    
        [31] => Array
            (
                [time] => 1779019200
                [value] => 7.12794058
            )
    
        [32] => Array
            (
                [time] => 1779033600
                [value] => 7.15968171
            )
    
        [33] => Array
            (
                [time] => 1779048000
                [value] => 7.19142285
            )
    
        [34] => Array
            (
                [time] => 1779062400
                [value] => 7.22316398
            )
    
        [35] => Array
            (
                [time] => 1779076800
                [value] => 7.25490511
            )
    
        [36] => Array
            (
                [time] => 1779091200
                [value] => 7.28664625
            )
    
        [37] => Array
            (
                [time] => 1779105600
                [value] => 7.31838738
            )
    
        [38] => Array
            (
                [time] => 1779120000
                [value] => 7.35012851
            )
    
        [39] => Array
            (
                [time] => 1779134400
                [value] => 7.38186965
            )
    
        [40] => Array
            (
                [time] => 1779148800
                [value] => 7.41361078
            )
    
        [41] => Array
            (
                [time] => 1779163200
                [value] => 7.44535191
            )
    
        [42] => Array
            (
                [time] => 1779177600
                [value] => 7.47709304
            )
    
        [43] => Array
            (
                [time] => 1779192000
                [value] => 7.50883418
            )
    
        [44] => Array
            (
                [time] => 1779206400
                [value] => 7.54057531
            )
    
        [45] => Array
            (
                [time] => 1779220800
                [value] => 7.57231644
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1779120000
        [price] => 7.37
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-04-20 04:00:00
        [price] => 4.313
        [kind] => low
        [label] => 
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-04-22 12:00:00
        [price] => 6.791
        [kind] => high
        [label] => 
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-04-23 08:00:00
        [price] => 5.66
        [kind] => low
        [label] => HL
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-04-24 12:00:00
        [price] => 7.227
        [kind] => high
        [label] => HH
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-04-25 12:00:00
        [price] => 6.024
        [kind] => low
        [label] => HL
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-04-26 20:00:00
        [price] => 6.875
        [kind] => high
        [label] => LH
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-04-29 08:00:00
        [price] => 5.952
        [kind] => low
        [label] => LL
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-04-30 08:00:00
        [price] => 7.339
        [kind] => high
        [label] => HH
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-04-30 12:00:00
        [price] => 5.965
        [kind] => low
        [label] => HL
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-02 12:00:00
        [price] => 6.865
        [kind] => high
        [label] => LH
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-06 00:00:00
        [price] => 5.631
        [kind] => low
        [label] => LL
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-09 04:00:00
        [price] => 6.865
        [kind] => high
        [label] => LH
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-12 08:00:00
        [price] => 6.011
        [kind] => low
        [label] => HL
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-14 08:00:00
        [price] => 7.869
        [kind] => high
        [label] => HH
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 6.837
        [kind] => low
        [label] => HL
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-15 08:00:00
        [price] => 7.95
        [kind] => high
        [label] => LH
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-16 00:00:00
        [price] => 6.899
        [kind] => low
        [label] => HL
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-16 08:00:00
        [price] => 7.914
        [kind] => high
        [label] => LH
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-17 16:00:00
        [price] => 7.019
        [kind] => low
        [label] => HL
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 8.038
        [kind] => high
        [label] => HH
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 7.155
        [kind] => low
        [label] => HL
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 7.568
        [kind] => high
        [label] => LH
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-14 21:00:00
        [price] => 6.837
        [kind] => low
        [label] => LL
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 00:00:00
        [price] => 7.811
        [kind] => high
        [label] => HH
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 02:00:00
        [price] => 7.189
        [kind] => low
        [label] => HL
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 09:00:00
        [price] => 7.95
        [kind] => high
        [label] => HH
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 02:00:00
        [price] => 6.899
        [kind] => low
        [label] => LL
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 08:00:00
        [price] => 7.914
        [kind] => high
        [label] => LH
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-16 11:00:00
        [price] => 7.275
        [kind] => low
        [label] => HL
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 16:00:00
        [price] => 7.85
        [kind] => high
        [label] => LH
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 7.221
        [kind] => low
        [label] => LL
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 02:00:00
        [price] => 7.733
        [kind] => high
        [label] => LH
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 05:00:00
        [price] => 7.323
        [kind] => low
        [label] => HL
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 07:00:00
        [price] => 7.714
        [kind] => high
        [label] => LH
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 7.24
        [kind] => low
        [label] => LL
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 7.678
        [kind] => high
        [label] => LH
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 7.019
        [kind] => low
        [label] => LL
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 8.038
        [kind] => high
        [label] => HH
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-19 12:00:00
        [price] => 6.078
        [kind] => low
        [label] => LL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 21:00:00
        [price] => 6.379
        [kind] => high
        [label] => LH
    )
    
  173. strategy_details
  174. levels_hl_price:
    6.078
  175. levels_hl_timestamp: 2026-05-19 12:00:00
  176. levels_hh_price:
    6.379
  177. levels_lh_price:
    6.379
  178. levels_lh_timestamp: 2026-05-19 21:00:00
  179. levels_ll_price:
    6.078
  180. ¸
  181. regimes
  182. 4H : bear_high
  183. 1H : bear_high
  184. 15m : bear_high
  185. ¸
  186. trend_analyzer_4h
  187. direction : neutral
  188. phase : range
  189. structure : range
  190. breakout_state : none
  191. quality : volatile
  192. strength : moderate
  193. exhaustion : medium
  194. momentum_type : grind
  195. volatility_regime : compression
  196. htf_context : unknown
  197. risk_state : discount
  198. confidence : 0.472
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4102
  202. scores_strength_score:
    0.5118
  203. scores_quality_score:
    0.3046
  204. scores_cleanliness_score:
    0.2134
  205. scores_structural_quality:
    0.3792
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.4598
  208. scores_continuation_score:
    0.4011
  209. scores_structure_score:
    0.6681
  210. scores_volatility_expansion:
    0.12
  211. scores_momentum_type_score:
    0.5273
  212. scores_risk_score:
    0.2435
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.2391
  215. features_ema50_slope:
    -0.1002
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -1.8741
  218. features_price_vs_ema50:
    -2.309
  219. features_recent_hh_hl_score:
    0.6111
  220. features_recent_lh_ll_score:
    0.3889
  221. features_last_bos_direction:
    1
  222. features_bars_since_last_bos:
    12
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.5732
  225. features_trend_efficiency:
    0.4521
  226. features_impulse_strength:
    2.4577
  227. features_directional_candle_ratio:
    0.6
  228. features_pullback_depth_ratio:
    1.1385
  229. features_pullback_depth_atr:
    2.4382
  230. features_extension_from_mean:
    -2.309
  231. features_impulse_decay_score:
    0.498
  232. features_opposing_wick_pressure:
    0.2342
  233. features_volatility_percentile:
    0.2
  234. features_volatility_delta:
    -0.3351
  235. features_body_ratio:
    0.4024
  236. features_closes_position_ratio:
    0.4016
  237. features_slope_consistency:
    0.6734
  238. features_range_position:
    0.2435
  239. features_distance_to_recent_high:
    -6.2536
  240. features_distance_to_recent_low:
    2.0124
  241. features_had_recent_range:
    1
  242. features_had_recent_compression:
    1
  243. features_post_break_hl_count:
    0
  244. features_htf_trend_strength:
    
                                                                                                                                
  245. features_htf_compression_score:
    
                                                                                                                                
  246. features_htf_entropy_score:
    
                                                                                                                                
  247. features_htf_hh_hl_score:
    
                                                                                                                                
  248. features_htf_state_str:
    
                                                                                                                                
  249. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 100%

Trend

Trend Strength
-0.267
Persistence
0.500
High Δ ATR
-12.191
Low Δ ATR
-6.915

Current Swing

Amp ATR
1.869
Speed
0.208
Efficiency
0.224

Structure

Retracement
0.154
Extension
0.295
Compression
2.056
Entropy
1.000
Breakout Str.
-13.381
Dist High ATR
-1.190
Dist Low ATR
1.021
23 pivots · 22 swings · Last pivot: ↑ 6.3790 @ bar 138

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 50%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion high
momentum fading
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.233
Strength Score 0.511
Quality Score 0.313
Cleanliness Score 0.178
Structural Quality 0.423
Pullback Score 0.154
Exhaustion Score 0.733
Continuation Score 0.249
Structure Score 0.268
Volatility Expansion 0.012
Momentum Type Score 0.451
Risk Score 0.077
Features
Ema20 Slope
-0.143
Ema50 Slope
-0.172
Ema Alignment Score
0.000
Price Vs Ema20
-0.873
Price Vs Ema50
-3.662
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
20.000
Candle Overlap Ratio
1.000
Wick Ratio
0.643
Trend Efficiency
0.224
Impulse Strength
10.306
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.154
Pullback Depth Atr
1.583
Extension From Mean
-3.662
Impulse Decay Score
0.852
Opposing Wick Pressure
0.286
Volatility Percentile
0.020
Volatility Delta
-0.403
Body Ratio
0.319
Closes Position Ratio
0.417
Slope Consistency
0.902
Range Position
0.077
Distance To Recent High
-14.735
Distance To Recent Low
1.222
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 47%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.410
Strength Score 0.512
Quality Score 0.305
Cleanliness Score 0.213
Structural Quality 0.379
Pullback Score 1.000
Exhaustion Score 0.460
Continuation Score 0.401
Structure Score 0.668
Volatility Expansion 0.120
Momentum Type Score 0.527
Risk Score 0.244
Features
Ema20 Slope
-0.239
Ema50 Slope
-0.100
Ema Alignment Score
0.000
Price Vs Ema20
-1.874
Price Vs Ema50
-2.309
Recent Hh Hl Score
0.611
Recent Lh Ll Score
0.389
Last Bos Direction
1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.573
Trend Efficiency
0.452
Impulse Strength
2.458
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.139
Pullback Depth Atr
2.438
Extension From Mean
-2.309
Impulse Decay Score
0.498
Opposing Wick Pressure
0.234
Volatility Percentile
0.200
Volatility Delta
-0.335
Body Ratio
0.402
Closes Position Ratio
0.402
Slope Consistency
0.673
Range Position
0.244
Distance To Recent High
-6.254
Distance To Recent Low
2.012
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7037ms Confidence avant OB : 80%70%

Order Book Imbalance

OBI Top 5 0.184
avg 0.179 ± 0.024
OBI Top 10 0.270

Microstructure

Mid Price
6.2150
Micro Price
6.2160
Spread
0.0322%

↑ Bid Wall (Support)

Price
6.1600
Size
10,171.00

↓ Ask Wall (Resistance)

Price
6.2200
Size
3,819.80

📌 Time Data

Start at Closed at Duration
20 May 2026
08:47:20
21 May 2026
10:15:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.217 6.3878 5.7047 3 4.991
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 6.217
  • Stop Loss: 6.3878
  • Take Profit: 5.7047

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.3878 - 6.217 = 0.1708

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.217 - 5.7047 = 0.5123

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.5123 / 0.1708 = 2.9994

📌 Position Size

Amount Margin Quantity Leverage
291.2545 100 46.8481 2.91
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 0.1708

Taille de position = 8 / 0.1708 = 46.84

Taille de position USD = 46.84 x 6.217 = 291.2

Donc, tu peux acheter 46.84 avec un stoploss a 6.3878

Avec un position size USD de 291.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 46.84 x 0.1708 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 46.84 x 0.5123 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position 46.84
  • Taille de position USD 291.2
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 2.9994

📌 Peformances

TP % Target TP $ Target
8.24 % 24 $
SL % Target SL $ Target
2.75 % 8 $
PNL PNL %
-8 $ -2.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.7827 % 101.29 % 70

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.034000000000001
            [rr_ratio] => 2.79
            [high] => 6.25100000
            [low] => 6.12200000
            [mfe_pct] => 1.53
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 2.79
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T08:47:20-04:00
            [end_at] => 2026-05-20T10:47:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.083
            [rr_ratio] => 1.14
            [high] => 6.30000000
            [low] => 6.12200000
            [mfe_pct] => 1.53
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T08:47:20-04:00
            [end_at] => 2026-05-20T15:47:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.27600000
            [high_after] => 6.30000000
            [low_before] => 6.06600000
            [low_after] => 6.12200000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#60 / n/a OK
seuil : top 15 · score du 20/05/2026 08:00
Signal Confidence
70 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime