20 May 2026 at 06:41:02

Short Trade on RIVER (WedgePullback)

With 49.29 RIVER at 6.225$ per unit. Take profit: 5.7381 (7.82 %) & Stop Loss: 6.3873 (2.61 %)

Short WedgePullback on RIVER (20 May 2026 at 06:41:02 to 10:15:00 - 1 day )

With 49.2931 RIVER at 6.225$ per unit.

Position size of 306.8492 $
Take profit at 5.7381 (7.82 %) and Stop Loss at 6.3873 (2.61 %)

That's a 3 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 9.22
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 : range

rules_regime : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

20/05 06:08

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 fading compression range_medium
46%
20/05 06:20

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: 6.38729468
  5. tp_price: 5.73811595
  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 : -12.1553
  15. low_delta_atr : -6.8946
  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 : 2.0552
  22. swing_entropy : 1
  23. breakout_strength : -13.5034
  24. distance_to_last_high_atr : -1.3481
  25. distance_to_last_low_atr : 0.8572
  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:
    140
  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 : 0.503
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2327
  49. scores_strength_score:
    0.5106
  50. scores_quality_score:
    0.3477
  51. scores_cleanliness_score:
    0.1687
  52. scores_structural_quality:
    0.4942
  53. scores_pullback_score:
    0.1536
  54. scores_exhaustion_score:
    0.767
  55. scores_continuation_score:
    0.238
  56. scores_structure_score:
    0.2682
  57. scores_volatility_expansion:
    0
  58. scores_momentum_type_score:
    0.4387
  59. scores_risk_score:
    0.0597
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1483
  62. features_ema50_slope:
    -0.179
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.3727
  65. features_price_vs_ema50:
    -4.2909
  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:
    18
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6626
  72. features_trend_efficiency:
    0.2235
  73. features_impulse_strength:
    10.3065
  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:
    -4.2909
  78. features_impulse_decay_score:
    0.8523
  79. features_opposing_wick_pressure:
    0.3042
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.4143
  82. features_body_ratio:
    0.2997
  83. features_closes_position_ratio:
    0.4313
  84. features_slope_consistency:
    0.852
  85. features_range_position:
    0.0597
  86. features_distance_to_recent_high:
    -15.3157
  87. features_distance_to_recent_low:
    0.9723
  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 : 0.1699
  99. obi_top10 : -0.0946
  100. micro_price : 6.20081366
  101. spread_pct : 0.064527
  102. mid_price : 6.201
  103. bid_wall_price : 6.15
  104. bid_wall_size : 8377
  105. bid_wall_dist_atr :
  106. ask_wall_price : 6.26
  107. ask_wall_size : 18002.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1659
  111. obi_top5_std : 0.0233
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6996
  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 : 0.471
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4097
  202. scores_strength_score:
    0.5118
  203. scores_quality_score:
    0.2977
  204. scores_cleanliness_score:
    0.193
  205. scores_structural_quality:
    0.3833
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.4626
  208. scores_continuation_score:
    0.4001
  209. scores_structure_score:
    0.6681
  210. scores_volatility_expansion:
    0.144
  211. scores_momentum_type_score:
    0.4943
  212. scores_risk_score:
    0.2343
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.2421
  215. features_ema50_slope:
    -0.0955
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -2.0325
  218. features_price_vs_ema50:
    -2.3316
  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:
    11
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.614
  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:
    -2.3316
  231. features_impulse_decay_score:
    0.498
  232. features_opposing_wick_pressure:
    0.2377
  233. features_volatility_percentile:
    0.24
  234. features_volatility_delta:
    -0.3003
  235. features_body_ratio:
    0.3812
  236. features_closes_position_ratio:
    0.3813
  237. features_slope_consistency:
    0.546
  238. features_range_position:
    0.2343
  239. features_distance_to_recent_high:
    -5.9314
  240. features_distance_to_recent_low:
    1.8152
  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
-12.155
Low Δ ATR
-6.895

Current Swing

Amp ATR
1.869
Speed
0.208
Efficiency
0.224

Structure

Retracement
0.154
Extension
0.295
Compression
2.055
Entropy
1.000
Breakout Str.
-13.503
Dist High ATR
-1.348
Dist Low ATR
0.857
23 pivots · 22 swings · Last pivot: ↑ 6.3790 @ bar 140

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 0.348
Cleanliness Score 0.169
Structural Quality 0.494
Pullback Score 0.154
Exhaustion Score 0.767
Continuation Score 0.238
Structure Score 0.268
Volatility Expansion 0.000
Momentum Type Score 0.439
Risk Score 0.060
Features
Ema20 Slope
-0.148
Ema50 Slope
-0.179
Ema Alignment Score
0.000
Price Vs Ema20
-1.373
Price Vs Ema50
-4.291
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
18.000
Candle Overlap Ratio
1.000
Wick Ratio
0.663
Trend Efficiency
0.224
Impulse Strength
10.307
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.154
Pullback Depth Atr
1.583
Extension From Mean
-4.291
Impulse Decay Score
0.852
Opposing Wick Pressure
0.304
Volatility Percentile
0.000
Volatility Delta
-0.414
Body Ratio
0.300
Closes Position Ratio
0.431
Slope Consistency
0.852
Range Position
0.060
Distance To Recent High
-15.316
Distance To Recent Low
0.972
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 0.298
Cleanliness Score 0.193
Structural Quality 0.383
Pullback Score 1.000
Exhaustion Score 0.463
Continuation Score 0.400
Structure Score 0.668
Volatility Expansion 0.144
Momentum Type Score 0.494
Risk Score 0.234
Features
Ema20 Slope
-0.242
Ema50 Slope
-0.096
Ema Alignment Score
0.000
Price Vs Ema20
-2.033
Price Vs Ema50
-2.332
Recent Hh Hl Score
0.611
Recent Lh Ll Score
0.389
Last Bos Direction
1.000
Bars Since Last Bos
11.000
Candle Overlap Ratio
1.000
Wick Ratio
0.614
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
-2.332
Impulse Decay Score
0.498
Opposing Wick Pressure
0.238
Volatility Percentile
0.240
Volatility Delta
-0.300
Body Ratio
0.381
Closes Position Ratio
0.381
Slope Consistency
0.546
Range Position
0.234
Distance To Recent High
-5.931
Distance To Recent Low
1.815
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6996ms Confidence avant OB : 80%70%

Order Book Imbalance

OBI Top 5 0.170
avg 0.166 ± 0.023
OBI Top 10 -0.095

Microstructure

Mid Price
6.2010
Micro Price
6.2008
Spread
0.0645%

↑ Bid Wall (Support)

Price
6.1500
Size
8,377.00

↓ Ask Wall (Resistance)

Price
6.2600
Size
18,002.40

📌 Time Data

Start at Closed at Duration
20 May 2026
06:41:02
21 May 2026
10:15:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.225 6.3873 5.7381 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 6.225
  • Stop Loss: 6.3873
  • Take Profit: 5.7381

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.3873 - 6.225 = 0.1623

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.225 - 5.7381 = 0.4869

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.4869 / 0.1623 = 3

📌 Position Size

Amount Margin Quantity Leverage
306.8492 100 49.2931 3.07
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 0.1623

Taille de position = 8 / 0.1623 = 49.29

Taille de position USD = 49.29 x 6.225 = 306.83

Donc, tu peux acheter 49.29 avec un stoploss a 6.3873

Avec un position size USD de 306.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 49.29 x 0.1623 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 49.29 x 0.4869 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position 49.29
  • Taille de position USD 306.83
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
7.82 % 24 $
SL % Target SL $ Target
2.61 % 8 $
PNL PNL %
-8 $ -2.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6506 % 101.66 % 56

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.159
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.21200000
            [low] => 6.06600000
            [mfe_pct] => 2.55
            [mae_pct] => -0.21
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T06:41:02-04:00
            [end_at] => 2026-05-20T08:41:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.159
            [max_drawdown] => 0.026000000000001
            [rr_ratio] => 6.12
            [high] => 6.25100000
            [low] => 6.06600000
            [mfe_pct] => 2.55
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 6.12
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T06:41:02-04:00
            [end_at] => 2026-05-20T13:41:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.32300000
            [high_after] => 6.25100000
            [low_before] => 6.13800000
            [low_after] => 6.06600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#62 / n/a OK
seuil : top 15 · score du 20/05/2026 06:00
Signal Confidence
70 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime