28 May 2026 at 10:35:14

Short Trade on TAO (WedgePullback)

With 1.45 TAO at 257.59$ per unit. Take profit: 241.0597 (6.42 %) & Stop Loss: 263.1001 (2.14 %)

Short WedgePullback on TAO (28 May 2026 at 10:35:14 to 14:00:00 - 3 hours )

With 1.4519 TAO at 257.59$ per unit.

Position size of 373.9888 $
Take profit at 241.0597 (6.42 %) and Stop Loss at 263.1001 (2.14 %)

That's a 3 RR Trade
Duration: 3 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score:
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : bear

rules_regime : bear_medium_confirmed

rules_regime_5m : bear_low

Score : 3

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

28/05 10:01

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : bear_high_confirmed

15m_regime : bear_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up range range moderate grind normal range_high
51%
26/05 20:00
1h ↔ neutral range range weak fading expansion range_high
43%
26/05 21:00
15m ↓ down transition bearish_transition moderate grind compression bear_high
72%
26/05 21:15
5m ↓ down range range moderate fading compression bear_medium
70%
26/05 21:15

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: 263.10011181
  5. tp_price: 241.05966456
  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 : -0.2628
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.799
  15. low_delta_atr : -2.9603
  16. current_swing_amp_atr : 1.9692
  17. current_swing_speed : 0.65642
  18. current_swing_efficiency : 0.6702
  19. retracement_ratio : 0.4073
  20. extension_ratio : 1.0915
  21. compression_score : 1.2227
  22. swing_entropy : 1
  23. breakout_strength : -4.0348
  24. distance_to_last_high_atr : -1.2358
  25. distance_to_last_low_atr : 0.6879
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    262.8
  31. last_pivot_index:
    144
  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 : strong
  40. exhaustion : medium
  41. momentum_type : explosive
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.608
  46. state : down_bearish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2458
  49. scores_strength_score:
    0.6752
  50. scores_quality_score:
    0.3862
  51. scores_cleanliness_score:
    0.24
  52. scores_structural_quality:
    0.5058
  53. scores_pullback_score:
    0.4073
  54. scores_exhaustion_score:
    0.4957
  55. scores_continuation_score:
    0.5496
  56. scores_structure_score:
    0.289
  57. scores_volatility_expansion:
    0.2271
  58. scores_momentum_type_score:
    0.6865
  59. scores_risk_score:
    0.1081
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1319
  62. features_ema50_slope:
    -0.1129
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.1692
  65. features_price_vs_ema50:
    -2.7158
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5199
  72. features_trend_efficiency:
    0.6702
  73. features_impulse_strength:
    4.5272
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.4073
  76. features_pullback_depth_atr:
    1.8439
  77. features_extension_from_mean:
    -2.7158
  78. features_impulse_decay_score:
    0.4542
  79. features_opposing_wick_pressure:
    0.3057
  80. features_volatility_percentile:
    0.24
  81. features_volatility_delta:
    -0.1753
  82. features_body_ratio:
    0.4756
  83. features_closes_position_ratio:
    0.5029
  84. features_slope_consistency:
    0.8537
  85. features_range_position:
    0.1081
  86. features_distance_to_recent_high:
    -8.0996
  87. features_distance_to_recent_low:
    0.9816
  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 : 0.1478
  99. obi_top10 : 0.1318
  100. micro_price : 257.30486364
  101. spread_pct : 0.003887
  102. mid_price : 257.305
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1587
  111. obi_top5_std : 0.0217
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7044
  115. aggregation_tick : 1
  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:
    0.9
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.9
  128. wedge_4h_upper_line:
    Array
    (
        [0] => Array
            (
                [time] => 1779120000
                [value] => 289.85552792
            )
    
        [1] => Array
            (
                [time] => 1779134400
                [value] => 289.87704833
            )
    
        [2] => Array
            (
                [time] => 1779148800
                [value] => 289.89856875
            )
    
        [3] => Array
            (
                [time] => 1779163200
                [value] => 289.92008916
            )
    
        [4] => Array
            (
                [time] => 1779177600
                [value] => 289.94160957
            )
    
        [5] => Array
            (
                [time] => 1779192000
                [value] => 289.96312999
            )
    
        [6] => Array
            (
                [time] => 1779206400
                [value] => 289.9846504
            )
    
        [7] => Array
            (
                [time] => 1779220800
                [value] => 290.00617081
            )
    
        [8] => Array
            (
                [time] => 1779235200
                [value] => 290.02769122
            )
    
        [9] => Array
            (
                [time] => 1779249600
                [value] => 290.04921164
            )
    
        [10] => Array
            (
                [time] => 1779264000
                [value] => 290.07073205
            )
    
        [11] => Array
            (
                [time] => 1779278400
                [value] => 290.09225246
            )
    
        [12] => Array
            (
                [time] => 1779292800
                [value] => 290.11377288
            )
    
        [13] => Array
            (
                [time] => 1779307200
                [value] => 290.13529329
            )
    
        [14] => Array
            (
                [time] => 1779321600
                [value] => 290.1568137
            )
    
        [15] => Array
            (
                [time] => 1779336000
                [value] => 290.17833412
            )
    
        [16] => Array
            (
                [time] => 1779350400
                [value] => 290.19985453
            )
    
        [17] => Array
            (
                [time] => 1779364800
                [value] => 290.22137494
            )
    
        [18] => Array
            (
                [time] => 1779379200
                [value] => 290.24289535
            )
    
        [19] => Array
            (
                [time] => 1779393600
                [value] => 290.26441577
            )
    
        [20] => Array
            (
                [time] => 1779408000
                [value] => 290.28593618
            )
    
        [21] => Array
            (
                [time] => 1779422400
                [value] => 290.30745659
            )
    
        [22] => Array
            (
                [time] => 1779436800
                [value] => 290.32897701
            )
    
        [23] => Array
            (
                [time] => 1779451200
                [value] => 290.35049742
            )
    
        [24] => Array
            (
                [time] => 1779465600
                [value] => 290.37201783
            )
    
        [25] => Array
            (
                [time] => 1779480000
                [value] => 290.39353824
            )
    
        [26] => Array
            (
                [time] => 1779494400
                [value] => 290.41505866
            )
    
        [27] => Array
            (
                [time] => 1779508800
                [value] => 290.43657907
            )
    
        [28] => Array
            (
                [time] => 1779523200
                [value] => 290.45809948
            )
    
        [29] => Array
            (
                [time] => 1779537600
                [value] => 290.4796199
            )
    
        [30] => Array
            (
                [time] => 1779552000
                [value] => 290.50114031
            )
    
        [31] => Array
            (
                [time] => 1779566400
                [value] => 290.52266072
            )
    
        [32] => Array
            (
                [time] => 1779580800
                [value] => 290.54418114
            )
    
        [33] => Array
            (
                [time] => 1779595200
                [value] => 290.56570155
            )
    
        [34] => Array
            (
                [time] => 1779609600
                [value] => 290.58722196
            )
    
        [35] => Array
            (
                [time] => 1779624000
                [value] => 290.60874237
            )
    
        [36] => Array
            (
                [time] => 1779638400
                [value] => 290.63026279
            )
    
        [37] => Array
            (
                [time] => 1779652800
                [value] => 290.6517832
            )
    
        [38] => Array
            (
                [time] => 1779667200
                [value] => 290.67330361
            )
    
        [39] => Array
            (
                [time] => 1779681600
                [value] => 290.69482403
            )
    
        [40] => Array
            (
                [time] => 1779696000
                [value] => 290.71634444
            )
    
        [41] => Array
            (
                [time] => 1779710400
                [value] => 290.73786485
            )
    
        [42] => Array
            (
                [time] => 1779724800
                [value] => 290.75938527
            )
    
        [43] => Array
            (
                [time] => 1779739200
                [value] => 290.78090568
            )
    
        [44] => Array
            (
                [time] => 1779753600
                [value] => 290.80242609
            )
    
        [45] => Array
            (
                [time] => 1779768000
                [value] => 290.8239465
            )
    
        [46] => Array
            (
                [time] => 1779782400
                [value] => 290.84546692
            )
    
        [47] => Array
            (
                [time] => 1779796800
                [value] => 290.86698733
            )
    
        [48] => Array
            (
                [time] => 1779811200
                [value] => 290.88850774
            )
    
        [49] => Array
            (
                [time] => 1779825600
                [value] => 290.91002816
            )
    
        [50] => Array
            (
                [time] => 1779840000
                [value] => 290.93154857
            )
    
        [51] => Array
            (
                [time] => 1779854400
                [value] => 290.95306898
            )
    
        [52] => Array
            (
                [time] => 1779868800
                [value] => 290.97458939
            )
    
        [53] => Array
            (
                [time] => 1779883200
                [value] => 290.99610981
            )
    
        [54] => Array
            (
                [time] => 1779897600
                [value] => 291.01763022
            )
    
        [55] => Array
            (
                [time] => 1779912000
                [value] => 291.03915063
            )
    
        [56] => Array
            (
                [time] => 1779926400
                [value] => 291.06067105
            )
    
        [57] => Array
            (
                [time] => 1779940800
                [value] => 291.08219146
            )
    
        [58] => Array
            (
                [time] => 1779955200
                [value] => 291.10371187
            )
    
    )
    
  129. wedge_4h_lower_line:
    Array
    (
        [0] => Array
            (
                [time] => 1779120000
                [value] => 258.11494476
            )
    
        [1] => Array
            (
                [time] => 1779134400
                [value] => 258.3297623
            )
    
        [2] => Array
            (
                [time] => 1779148800
                [value] => 258.54457985
            )
    
        [3] => Array
            (
                [time] => 1779163200
                [value] => 258.75939739
            )
    
        [4] => Array
            (
                [time] => 1779177600
                [value] => 258.97421493
            )
    
        [5] => Array
            (
                [time] => 1779192000
                [value] => 259.18903247
            )
    
        [6] => Array
            (
                [time] => 1779206400
                [value] => 259.40385002
            )
    
        [7] => Array
            (
                [time] => 1779220800
                [value] => 259.61866756
            )
    
        [8] => Array
            (
                [time] => 1779235200
                [value] => 259.8334851
            )
    
        [9] => Array
            (
                [time] => 1779249600
                [value] => 260.04830264
            )
    
        [10] => Array
            (
                [time] => 1779264000
                [value] => 260.26312019
            )
    
        [11] => Array
            (
                [time] => 1779278400
                [value] => 260.47793773
            )
    
        [12] => Array
            (
                [time] => 1779292800
                [value] => 260.69275527
            )
    
        [13] => Array
            (
                [time] => 1779307200
                [value] => 260.90757282
            )
    
        [14] => Array
            (
                [time] => 1779321600
                [value] => 261.12239036
            )
    
        [15] => Array
            (
                [time] => 1779336000
                [value] => 261.3372079
            )
    
        [16] => Array
            (
                [time] => 1779350400
                [value] => 261.55202544
            )
    
        [17] => Array
            (
                [time] => 1779364800
                [value] => 261.76684299
            )
    
        [18] => Array
            (
                [time] => 1779379200
                [value] => 261.98166053
            )
    
        [19] => Array
            (
                [time] => 1779393600
                [value] => 262.19647807
            )
    
        [20] => Array
            (
                [time] => 1779408000
                [value] => 262.41129561
            )
    
        [21] => Array
            (
                [time] => 1779422400
                [value] => 262.62611316
            )
    
        [22] => Array
            (
                [time] => 1779436800
                [value] => 262.8409307
            )
    
        [23] => Array
            (
                [time] => 1779451200
                [value] => 263.05574824
            )
    
        [24] => Array
            (
                [time] => 1779465600
                [value] => 263.27056579
            )
    
        [25] => Array
            (
                [time] => 1779480000
                [value] => 263.48538333
            )
    
        [26] => Array
            (
                [time] => 1779494400
                [value] => 263.70020087
            )
    
        [27] => Array
            (
                [time] => 1779508800
                [value] => 263.91501841
            )
    
        [28] => Array
            (
                [time] => 1779523200
                [value] => 264.12983596
            )
    
        [29] => Array
            (
                [time] => 1779537600
                [value] => 264.3446535
            )
    
        [30] => Array
            (
                [time] => 1779552000
                [value] => 264.55947104
            )
    
        [31] => Array
            (
                [time] => 1779566400
                [value] => 264.77428858
            )
    
        [32] => Array
            (
                [time] => 1779580800
                [value] => 264.98910613
            )
    
        [33] => Array
            (
                [time] => 1779595200
                [value] => 265.20392367
            )
    
        [34] => Array
            (
                [time] => 1779609600
                [value] => 265.41874121
            )
    
        [35] => Array
            (
                [time] => 1779624000
                [value] => 265.63355875
            )
    
        [36] => Array
            (
                [time] => 1779638400
                [value] => 265.8483763
            )
    
        [37] => Array
            (
                [time] => 1779652800
                [value] => 266.06319384
            )
    
        [38] => Array
            (
                [time] => 1779667200
                [value] => 266.27801138
            )
    
        [39] => Array
            (
                [time] => 1779681600
                [value] => 266.49282893
            )
    
        [40] => Array
            (
                [time] => 1779696000
                [value] => 266.70764647
            )
    
        [41] => Array
            (
                [time] => 1779710400
                [value] => 266.92246401
            )
    
        [42] => Array
            (
                [time] => 1779724800
                [value] => 267.13728155
            )
    
        [43] => Array
            (
                [time] => 1779739200
                [value] => 267.3520991
            )
    
        [44] => Array
            (
                [time] => 1779753600
                [value] => 267.56691664
            )
    
        [45] => Array
            (
                [time] => 1779768000
                [value] => 267.78173418
            )
    
        [46] => Array
            (
                [time] => 1779782400
                [value] => 267.99655172
            )
    
        [47] => Array
            (
                [time] => 1779796800
                [value] => 268.21136927
            )
    
        [48] => Array
            (
                [time] => 1779811200
                [value] => 268.42618681
            )
    
        [49] => Array
            (
                [time] => 1779825600
                [value] => 268.64100435
            )
    
        [50] => Array
            (
                [time] => 1779840000
                [value] => 268.85582189
            )
    
        [51] => Array
            (
                [time] => 1779854400
                [value] => 269.07063944
            )
    
        [52] => Array
            (
                [time] => 1779868800
                [value] => 269.28545698
            )
    
        [53] => Array
            (
                [time] => 1779883200
                [value] => 269.50027452
            )
    
        [54] => Array
            (
                [time] => 1779897600
                [value] => 269.71509207
            )
    
        [55] => Array
            (
                [time] => 1779912000
                [value] => 269.92990961
            )
    
        [56] => Array
            (
                [time] => 1779926400
                [value] => 270.14472715
            )
    
        [57] => Array
            (
                [time] => 1779940800
                [value] => 270.35954469
            )
    
        [58] => Array
            (
                [time] => 1779955200
                [value] => 270.57436224
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1779912000
        [price] => 266.64
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-04-27 12:00:00
        [price] => 244.06
        [kind] => low
        [label] => HL
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-04-29 04:00:00
        [price] => 266.31
        [kind] => high
        [label] => HH
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-04-30 12:00:00
        [price] => 246.8
        [kind] => low
        [label] => HL
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-03 20:00:00
        [price] => 295.87
        [kind] => high
        [label] => HH
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-04 12:00:00
        [price] => 276.33
        [kind] => low
        [label] => HL
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-05 20:00:00
        [price] => 305.25
        [kind] => high
        [label] => HH
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-06 00:00:00
        [price] => 283.66
        [kind] => low
        [label] => HL
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-06 12:00:00
        [price] => 323.68
        [kind] => high
        [label] => HH
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-07 20:00:00
        [price] => 296.28
        [kind] => low
        [label] => HL
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-10 16:00:00
        [price] => 333.23
        [kind] => high
        [label] => HH
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-13 12:00:00
        [price] => 290.51
        [kind] => low
        [label] => LL
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 309.28
        [kind] => high
        [label] => LH
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 254.22
        [kind] => low
        [label] => LL
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-21 08:00:00
        [price] => 289.19
        [kind] => high
        [label] => LH
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-21 12:00:00
        [price] => 274.46
        [kind] => low
        [label] => HL
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-22 12:00:00
        [price] => 293.35
        [kind] => high
        [label] => HH
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-23 04:00:00
        [price] => 252.94
        [kind] => low
        [label] => LL
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-23 20:00:00
        [price] => 287.98
        [kind] => high
        [label] => LH
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-24 20:00:00
        [price] => 268.24
        [kind] => low
        [label] => HL
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 291.42
        [kind] => high
        [label] => HH
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-25 10:00:00
        [price] => 280.71
        [kind] => high
        [label] => HH
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 275.57
        [kind] => low
        [label] => HL
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-25 20:00:00
        [price] => 285.86
        [kind] => high
        [label] => HH
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 273.31
        [kind] => low
        [label] => LL
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 288.99
        [kind] => high
        [label] => HH
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 277.77
        [kind] => low
        [label] => HL
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 290.49
        [kind] => high
        [label] => HH
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-26 13:00:00
        [price] => 282.59
        [kind] => low
        [label] => HL
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 291.42
        [kind] => high
        [label] => LH
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 17:00:00
        [price] => 289.66
        [kind] => high
        [label] => LH
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 23:00:00
        [price] => 277.62
        [kind] => low
        [label] => LL
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-27 00:00:00
        [price] => 286.69
        [kind] => high
        [label] => LH
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-27 04:00:00
        [price] => 270.17
        [kind] => low
        [label] => LL
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 281.35
        [kind] => high
        [label] => LH
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 14:00:00
        [price] => 271.56
        [kind] => low
        [label] => HL
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 280.11
        [kind] => high
        [label] => LH
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 267.17
        [kind] => low
        [label] => LL
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 274.6
        [kind] => high
        [label] => LH
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-28 06:00:00
        [price] => 254.69
        [kind] => low
        [label] => LL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 262.8
        [kind] => high
        [label] => LH
    )
    
  173. strategy_details
  174. levels_hl_price:
    254.69
  175. levels_hl_timestamp: 2026-05-28 06:00:00
  176. levels_hh_price:
    262.8
  177. levels_lh_price:
    262.8
  178. levels_lh_timestamp: 2026-05-28 09:00:00
  179. levels_ll_price:
    254.69
  180. ¸
  181. regimes
  182. 4H : bear_high
  183. 1H : bear_high_confirmed
  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 : normal
  196. htf_context : unknown
  197. risk_state : approaching_support
  198. confidence : 0.442
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4375
  202. scores_strength_score:
    0.4677
  203. scores_quality_score:
    0.317
  204. scores_cleanliness_score:
    0.1758
  205. scores_structural_quality:
    0.4325
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.5188
  208. scores_continuation_score:
    0.3944
  209. scores_structure_score:
    0.703
  210. scores_volatility_expansion:
    0.5223
  211. scores_momentum_type_score:
    0.4159
  212. scores_risk_score:
    0.0579
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.1717
  215. features_ema50_slope:
    -0.0764
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -1.5845
  218. features_price_vs_ema50:
    -2.0144
  219. features_recent_hh_hl_score:
    0.7
  220. features_recent_lh_ll_score:
    0.3
  221. features_last_bos_direction:
    1
  222. features_bars_since_last_bos:
    12
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.6484
  225. features_trend_efficiency:
    0.2643
  226. features_impulse_strength:
    3.9073
  227. features_directional_candle_ratio:
    0.55
  228. features_pullback_depth_ratio:
    1.1743
  229. features_pullback_depth_atr:
    2.8608
  230. features_extension_from_mean:
    -2.0144
  231. features_impulse_decay_score:
    0.6692
  232. features_opposing_wick_pressure:
    0.2995
  233. features_volatility_percentile:
    0.46
  234. features_volatility_delta:
    0.0695
  235. features_body_ratio:
    0.3655
  236. features_closes_position_ratio:
    0.4224
  237. features_slope_consistency:
    0.4367
  238. features_range_position:
    0.0579
  239. features_distance_to_recent_high:
    -9.2813
  240. features_distance_to_recent_low:
    0.5706
  241. features_had_recent_range:
    1
  242. features_had_recent_compression:
    0
  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. ¸

Signaux confirmants (5)

# Heure Entry Δ
1 10:35 257.59000000 0%
2 10:42 257.52000000 -0.027%
3 10:51 256.83000000 -0.295%
4 10:58 256.83000000 -0.295%
5 11:10 256.62000000 -0.377%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 100%

Trend

Trend Strength
-0.263
Persistence
0.500
High Δ ATR
-2.799
Low Δ ATR
-2.960

Current Swing

Amp ATR
1.969
Speed
0.656
Efficiency
0.670

Structure

Retracement
0.407
Extension
1.092
Compression
1.223
Entropy
1.000
Breakout Str.
-4.035
Dist High ATR
-1.236
Dist Low ATR
0.688
30 pivots · 29 swings · Last pivot: ↑ 262.8000 @ bar 144

Trend Analyzer 1H

1H ↓ down down_bearish_transition_explosive
Confidence 61%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength strong
exhaustion medium
momentum explosive
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.246
Strength Score 0.675
Quality Score 0.386
Cleanliness Score 0.240
Structural Quality 0.506
Pullback Score 0.407
Exhaustion Score 0.496
Continuation Score 0.550
Structure Score 0.289
Volatility Expansion 0.227
Momentum Type Score 0.687
Risk Score 0.108
Features
Ema20 Slope
-0.132
Ema50 Slope
-0.113
Ema Alignment Score
0.000
Price Vs Ema20
-1.169
Price Vs Ema50
-2.716
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.520
Trend Efficiency
0.670
Impulse Strength
4.527
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.407
Pullback Depth Atr
1.844
Extension From Mean
-2.716
Impulse Decay Score
0.454
Opposing Wick Pressure
0.306
Volatility Percentile
0.240
Volatility Delta
-0.175
Body Ratio
0.476
Closes Position Ratio
0.503
Slope Consistency
0.854
Range Position
0.108
Distance To Recent High
-8.100
Distance To Recent Low
0.982
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 44%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk approaching_support
htf unknown
Scores
Direction Score 0.438
Strength Score 0.468
Quality Score 0.317
Cleanliness Score 0.176
Structural Quality 0.433
Pullback Score 1.000
Exhaustion Score 0.519
Continuation Score 0.394
Structure Score 0.703
Volatility Expansion 0.522
Momentum Type Score 0.416
Risk Score 0.058
Features
Ema20 Slope
-0.172
Ema50 Slope
-0.076
Ema Alignment Score
0.000
Price Vs Ema20
-1.585
Price Vs Ema50
-2.014
Recent Hh Hl Score
0.700
Recent Lh Ll Score
0.300
Last Bos Direction
1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.648
Trend Efficiency
0.264
Impulse Strength
3.907
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.174
Pullback Depth Atr
2.861
Extension From Mean
-2.014
Impulse Decay Score
0.669
Opposing Wick Pressure
0.300
Volatility Percentile
0.460
Volatility Delta
0.070
Body Ratio
0.366
Closes Position Ratio
0.422
Slope Consistency
0.437
Range Position
0.058
Distance To Recent High
-9.281
Distance To Recent Low
0.571
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7044ms Confidence avant OB : 80%70%

Order Book Imbalance

OBI Top 5 0.148
avg 0.159 ± 0.022
OBI Top 10 0.132

Microstructure

Mid Price
257.3050
Micro Price
257.3049
Spread
0.0039%

📌 Time Data

Start at Closed at Duration
28 May 2026
10:35:14
28 May 2026
14:00:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
257.59 263.1001 241.0597 3 261.01
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 257.59
  • Stop Loss: 263.1001
  • Take Profit: 241.0597

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 263.1001 - 257.59 = 5.5101

  • Récompense (distance jusqu'au take profit):

    E - TP = 257.59 - 241.0597 = 16.5303

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 16.5303 / 5.5101 = 3

📌 Position Size

Amount Margin Quantity Leverage
373.9888 100 1.4519 3.74
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 5.5101

Taille de position = 8 / 5.5101 = 1.45

Taille de position USD = 1.45 x 257.59 = 373.51

Donc, tu peux acheter 1.45 avec un stoploss a 263.1001

Avec un position size USD de 373.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.45 x 5.5101 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.45 x 16.5303 = 23.97

Si Take Profit atteint, tu gagneras 23.97$

Résumé

  • Taille de position 1.45
  • Taille de position USD 373.51
  • Perte potentielle 7.99
  • Gain potentiel 23.97
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
6.42 % 24 $
SL % Target SL $ Target
2.14 % 8 $
PNL PNL %
-8 $ -2.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1973 % 102.72 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 241.0597
            [entry_price] => 257.59
            [stop_loss] => 263.65111
            [rr_ratio] => 2.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-28 18:05:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 241.0597
            [entry_price] => 257.59
            [stop_loss] => 264.20212
            [rr_ratio] => 2.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-28 18:10:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
)

V2 Shadow Analysis

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

Quality Rank
#58 / n/a OUT
seuil : top 15 · score du 28/05/2026 10:00
Signal Confidence
70 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime