20 May 2026 at 12:36:37

Short Trade on RIVER (WedgePullback)

With 33.39 RIVER at 6.147$ per unit. Take profit: 5.4282 (11.69 %) & Stop Loss: 6.3866 (3.9 %)

Short WedgePullback on RIVER (20 May 2026 at 12:36:37 to 10:15:00 - 21 hours )

With 33.3897 RIVER at 6.147$ per unit.

Position size of 205.2464 $
Take profit at 5.4282 (11.69 %) and Stop Loss at 6.3866 (3.9 %)

That's a 3 RR Trade
Duration: 21 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.11
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 12:07

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: 0.8
  3. reason: ascending_wedge_lh_anticipation|ob:bid_pressure(-0.10)
  4. stop_price: 6.38659492
  5. tp_price: 5.42821525
  6. atr:
  7. score: 0.9
  8. confidence_pre_ob: 0.9
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 : -13.4038
  15. low_delta_atr : -7.6027
  16. current_swing_amp_atr : 1.8691
  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 : 2.0538
  22. swing_entropy : 1
  23. breakout_strength : -15.2943
  24. distance_to_last_high_atr : -1.8906
  25. distance_to_last_low_atr : 0.5413
  26. pivot_count : 21
  27. swing_count : 20
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    6.379
  31. last_pivot_index:
    134
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : none
  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 : 0.497
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2353
  49. scores_strength_score:
    0.5281
  50. scores_quality_score:
    0.308
  51. scores_cleanliness_score:
    0.1752
  52. scores_structural_quality:
    0.4167
  53. scores_pullback_score:
    0.1536
  54. scores_exhaustion_score:
    0.7663
  55. scores_continuation_score:
    0.2392
  56. scores_structure_score:
    0.2615
  57. scores_volatility_expansion:
    0
  58. scores_momentum_type_score:
    0.4534
  59. scores_risk_score:
    0.0401
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1083
  62. features_ema50_slope:
    -0.1679
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.232
  65. features_price_vs_ema50:
    -4.1971
  66. features_recent_hh_hl_score:
    0.3333
  67. features_recent_lh_ll_score:
    0.6667
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    24
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6496
  72. features_trend_efficiency:
    0.2235
  73. features_impulse_strength:
    10.3068
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.1536
  76. features_pullback_depth_atr:
    1.5831
  77. features_extension_from_mean:
    -4.1971
  78. features_impulse_decay_score:
    0.8523
  79. features_opposing_wick_pressure:
    0.3014
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.3593
  82. features_body_ratio:
    0.3208
  83. features_closes_position_ratio:
    0.4087
  84. features_slope_consistency:
    0.9291
  85. features_range_position:
    0.0401
  86. features_distance_to_recent_high:
    -17.5623
  87. features_distance_to_recent_low:
    0.7329
  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 : 0.2525
  99. obi_top10 : 0.3053
  100. micro_price : 6.16194776
  101. spread_pct : 0.048701
  102. mid_price : 6.1615
  103. bid_wall_price : 6.11
  104. bid_wall_size : 6555
  105. bid_wall_dist_atr :
  106. ask_wall_price : 6.18
  107. ask_wall_size : 3939.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.2552
  111. obi_top5_std : 0.0016
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6991
  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] => 
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 7.568
        [kind] => high
        [label] => 
    )
    
  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 : 0.469
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4091
  202. scores_strength_score:
    0.5118
  203. scores_quality_score:
    0.3071
  204. scores_cleanliness_score:
    0.2242
  205. scores_structural_quality:
    0.375
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.4876
  208. scores_continuation_score:
    0.3924
  209. scores_structure_score:
    0.6681
  210. scores_volatility_expansion:
    0.108
  211. scores_momentum_type_score:
    0.54
  212. scores_risk_score:
    0.2135
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.2461
  215. features_ema50_slope:
    -0.1092
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -2.079
  218. features_price_vs_ema50:
    -2.6643
  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:
    13
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.5516
  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:
    -2.6643
  231. features_impulse_decay_score:
    0.498
  232. features_opposing_wick_pressure:
    0.221
  233. features_volatility_percentile:
    0.18
  234. features_volatility_delta:
    -0.3787
  235. features_body_ratio:
    0.4097
  236. features_closes_position_ratio:
    0.3793
  237. features_slope_consistency:
    0.7746
  238. features_range_position:
    0.2135
  239. features_distance_to_recent_high:
    -7.0583
  240. features_distance_to_recent_low:
    1.9165
  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
-13.404
Low Δ ATR
-7.603

Current Swing

Amp ATR
1.869
Speed
0.208
Efficiency
0.224

Structure

Retracement
0.154
Extension
0.295
Compression
2.054
Entropy
1.000
Breakout Str.
-15.294
Dist High ATR
-1.891
Dist Low ATR
0.541
21 pivots · 20 swings · Last pivot: ↑ 6.3790 @ bar 134

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 50%

Context

phase transition
structure bearish_transition
breakout none
quality volatile
strength moderate
exhaustion high
momentum fading
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.235
Strength Score 0.528
Quality Score 0.308
Cleanliness Score 0.175
Structural Quality 0.417
Pullback Score 0.154
Exhaustion Score 0.766
Continuation Score 0.239
Structure Score 0.262
Volatility Expansion 0.000
Momentum Type Score 0.453
Risk Score 0.040
Features
Ema20 Slope
-0.108
Ema50 Slope
-0.168
Ema Alignment Score
0.000
Price Vs Ema20
-1.232
Price Vs Ema50
-4.197
Recent Hh Hl Score
0.333
Recent Lh Ll Score
0.667
Last Bos Direction
-1.000
Bars Since Last Bos
24.000
Candle Overlap Ratio
1.000
Wick Ratio
0.650
Trend Efficiency
0.224
Impulse Strength
10.307
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.154
Pullback Depth Atr
1.583
Extension From Mean
-4.197
Impulse Decay Score
0.852
Opposing Wick Pressure
0.301
Volatility Percentile
0.000
Volatility Delta
-0.359
Body Ratio
0.321
Closes Position Ratio
0.409
Slope Consistency
0.929
Range Position
0.040
Distance To Recent High
-17.562
Distance To Recent Low
0.733
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 0.409
Strength Score 0.512
Quality Score 0.307
Cleanliness Score 0.224
Structural Quality 0.375
Pullback Score 1.000
Exhaustion Score 0.488
Continuation Score 0.392
Structure Score 0.668
Volatility Expansion 0.108
Momentum Type Score 0.540
Risk Score 0.214
Features
Ema20 Slope
-0.246
Ema50 Slope
-0.109
Ema Alignment Score
0.000
Price Vs Ema20
-2.079
Price Vs Ema50
-2.664
Recent Hh Hl Score
0.611
Recent Lh Ll Score
0.389
Last Bos Direction
1.000
Bars Since Last Bos
13.000
Candle Overlap Ratio
1.000
Wick Ratio
0.552
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
-2.664
Impulse Decay Score
0.498
Opposing Wick Pressure
0.221
Volatility Percentile
0.180
Volatility Delta
-0.379
Body Ratio
0.410
Closes Position Ratio
0.379
Slope Consistency
0.775
Range Position
0.214
Distance To Recent High
-7.058
Distance To Recent Low
1.917
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6991ms Confidence avant OB : 90%80%

Order Book Imbalance

OBI Top 5 0.253
avg 0.255 ± 0.002
OBI Top 10 0.305

Microstructure

Mid Price
6.1615
Micro Price
6.1619
Spread
0.0487%

↑ Bid Wall (Support)

Price
6.1100
Size
6,555.00

↓ Ask Wall (Resistance)

Price
6.1800
Size
3,939.60

📌 Time Data

Start at Closed at Duration
20 May 2026
12:36:37
21 May 2026
10:15:00
21 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.147 6.3866 5.4282 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 6.147
  • Stop Loss: 6.3866
  • Take Profit: 5.4282

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.3866 - 6.147 = 0.2396

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.147 - 5.4282 = 0.7188

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.7188 / 0.2396 = 3

📌 Position Size

Amount Margin Quantity Leverage
205.2464 100 33.3897 2.05
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 0.2396

Taille de position = 8 / 0.2396 = 33.39

Taille de position USD = 33.39 x 6.147 = 205.25

Donc, tu peux acheter 33.39 avec un stoploss a 6.3866

Avec un position size USD de 205.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 33.39 x 0.2396 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 33.39 x 0.7188 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position 33.39
  • Taille de position USD 205.25
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
11.69 % 24 $
SL % Target SL $ Target
3.9 % 8 $
PNL PNL %
-8 $ -3.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.9531 % 101.42 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.029999999999999
            [max_drawdown] => 0.153
            [rr_ratio] => -0.2
            [high] => 6.30000000
            [low] => 6.17700000
            [mfe_pct] => -0.49
            [mae_pct] => 2.49
            [mfe_mae_ratio] => -0.2
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T12:36:37-04:00
            [end_at] => 2026-05-20T14:36:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.153
            [rr_ratio] => 0.08
            [high] => 6.30000000
            [low] => 6.13500000
            [mfe_pct] => 0.2
            [mae_pct] => 2.49
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T12:36:37-04:00
            [end_at] => 2026-05-20T19:36:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.25100000
            [high_after] => 6.30000000
            [low_before] => 6.12200000
            [low_after] => 6.16200000
            [is_new_high] => 
            [is_new_low] => 
        )

)

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 20/05/2026 12:00
Signal Confidence
80 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime