01 Jun 2026 at 18:37:01

Short Trade on ZEC (WedgePullback)

With 0.35 ZEC at 545.5$ per unit. Take profit: 475.9931 (12.74 %) & Stop Loss: 568.669 (4.25 %)

Short WedgePullback on ZEC (01 Jun 2026 at 18:37:01 to 23:30:00 - 4 hours )

With 0.3453 ZEC at 545.5$ per unit.

Position size of 188.3554 $
Take profit at 475.9931 (12.74 %) and Stop Loss at 568.669 (4.25 %)

That's a 3 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.51
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

rules_regime_5m : range_low

Score : 2

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

01/06 18:01

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : range_high

15m_regime : bear_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range moderate grind normal bear_high
78%
01/06 20:00
1h ↔ neutral range range moderate grind compression range_high
46%
01/06 21:00
15m ↔ neutral range range moderate grind normal range_high
48%
01/06 22:00
5m ↓ down transition bearish_transition strong explosive compression range_medium
51%
01/06 22:20

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: 568.66897114
  5. tp_price: 475.99308659
  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 : range
  11. confidence : 0.779
  12. trend_strength : 0.1106
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.4217
  15. low_delta_atr : -2.8882
  16. current_swing_amp_atr : 3.2425
  17. current_swing_speed : 0.64849
  18. current_swing_efficiency : 0.518
  19. retracement_ratio : 1.1694
  20. extension_ratio : 0.7026
  21. compression_score : 1.0671
  22. swing_entropy : 1
  23. breakout_strength : -4.2484
  24. distance_to_last_high_atr : -1.8267
  25. distance_to_last_low_atr : 1.5507
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    567.81
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.482
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.419
  49. scores_strength_score:
    0.6078
  50. scores_quality_score:
    0.3686
  51. scores_cleanliness_score:
    0.2324
  52. scores_structural_quality:
    0.48
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3489
  55. scores_continuation_score:
    0.4379
  56. scores_structure_score:
    0.3744
  57. scores_volatility_expansion:
    0.288
  58. scores_momentum_type_score:
    0.5104
  59. scores_risk_score:
    0.455
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0271
  62. features_ema50_slope:
    0.0157
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    -0.3897
  65. features_price_vs_ema50:
    -0.2794
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5352
  72. features_trend_efficiency:
    0.518
  73. features_impulse_strength:
    3.2425
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    1.1694
  76. features_pullback_depth_atr:
    3.3418
  77. features_extension_from_mean:
    -0.2794
  78. features_impulse_decay_score:
    0.6487
  79. features_opposing_wick_pressure:
    0.2599
  80. features_volatility_percentile:
    0.48
  81. features_volatility_delta:
    -0.3669
  82. features_body_ratio:
    0.4072
  83. features_closes_position_ratio:
    0.4155
  84. features_slope_consistency:
    0.3703
  85. features_range_position:
    0.455
  86. features_distance_to_recent_high:
    -4.4311
  87. features_distance_to_recent_low:
    3.6992
  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 : 0.3022
  99. obi_top10 : 0.3022
  100. micro_price : 545.3395858
  101. spread_pct : 0.001834
  102. mid_price : 545.335
  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 : 0.1669
  111. obi_top5_std : 0.0899
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7097
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : range
  121. ms_state_1h : range
  122. strategy_details
  123. wedge_4h_type: ascending_wedge
  124. wedge_4h_strength:
    0.615
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.615
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                [value] => 523.56020416
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        [62] => Array
            (
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        [63] => Array
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                [value] => 523.91892298
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        [64] => Array
            (
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                [value] => 524.0982824
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        [65] => Array
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        [66] => Array
            (
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        [67] => Array
            (
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        [68] => Array
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        [69] => Array
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        [70] => Array
            (
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                [value] => 525.17443888
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        [71] => Array
            (
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        [72] => Array
            (
                [time] => 1779955200
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        [73] => Array
            (
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        [74] => Array
            (
                [time] => 1779984000
                [value] => 525.89187653
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        [75] => Array
            (
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                [value] => 526.07123594
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        [76] => Array
            (
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                [value] => 526.25059535
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        [77] => Array
            (
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        [78] => Array
            (
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                [value] => 526.60931418
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        [79] => Array
            (
                [time] => 1780056000
                [value] => 526.78867359
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        [80] => Array
            (
                [time] => 1780070400
                [value] => 526.96803301
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        [81] => Array
            (
                [time] => 1780084800
                [value] => 527.14739242
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        [82] => Array
            (
                [time] => 1780099200
                [value] => 527.32675183
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        [83] => Array
            (
                [time] => 1780113600
                [value] => 527.50611125
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        [84] => Array
            (
                [time] => 1780128000
                [value] => 527.68547066
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        [85] => Array
            (
                [time] => 1780142400
                [value] => 527.86483007
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        [86] => Array
            (
                [time] => 1780156800
                [value] => 528.04418949
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        [87] => Array
            (
                [time] => 1780171200
                [value] => 528.2235489
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        [88] => Array
            (
                [time] => 1780185600
                [value] => 528.40290831
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        [89] => Array
            (
                [time] => 1780200000
                [value] => 528.58226773
            )
    
        [90] => Array
            (
                [time] => 1780214400
                [value] => 528.76162714
            )
    
        [91] => Array
            (
                [time] => 1780228800
                [value] => 528.94098655
            )
    
        [92] => Array
            (
                [time] => 1780243200
                [value] => 529.12034597
            )
    
        [93] => Array
            (
                [time] => 1780257600
                [value] => 529.29970538
            )
    
        [94] => Array
            (
                [time] => 1780272000
                [value] => 529.47906479
            )
    
        [95] => Array
            (
                [time] => 1780286400
                [value] => 529.65842421
            )
    
        [96] => Array
            (
                [time] => 1780300800
                [value] => 529.83778362
            )
    
        [97] => Array
            (
                [time] => 1780315200
                [value] => 530.01714303
            )
    
        [98] => Array
            (
                [time] => 1780329600
                [value] => 530.19650244
            )
    
        [99] => Array
            (
                [time] => 1780344000
                [value] => 530.37586186
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1780315200
        [price] => 529.11
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-05-02 12:00:00
        [price] => 371.16
        [kind] => low
        [label] => 
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-05-04 00:00:00
        [price] => 428.66
        [kind] => high
        [label] => 
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-05-04 08:00:00
        [price] => 399.41
        [kind] => low
        [label] => HL
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-05 20:00:00
        [price] => 554.38
        [kind] => high
        [label] => HH
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-06 00:00:00
        [price] => 502.84
        [kind] => low
        [label] => HL
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-06 08:00:00
        [price] => 606.71
        [kind] => high
        [label] => HH
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-07 04:00:00
        [price] => 533.01
        [kind] => low
        [label] => HL
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-09 04:00:00
        [price] => 644.13
        [kind] => high
        [label] => HH
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-12 08:00:00
        [price] => 541.49
        [kind] => low
        [label] => HL
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-13 00:00:00
        [price] => 592.52
        [kind] => high
        [label] => LH
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 514.1
        [kind] => low
        [label] => LL
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 569.45
        [kind] => high
        [label] => LH
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-16 08:00:00
        [price] => 485.87
        [kind] => low
        [label] => LL
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 554.92
        [kind] => high
        [label] => LH
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 515.36
        [kind] => low
        [label] => HL
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-20 16:00:00
        [price] => 688.84
        [kind] => high
        [label] => HH
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-23 04:00:00
        [price] => 571.84
        [kind] => low
        [label] => HL
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-24 16:00:00
        [price] => 686.84
        [kind] => high
        [label] => LH
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 501.8
        [kind] => low
        [label] => LL
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 597.56
        [kind] => high
        [label] => LH
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 543.73
        [kind] => low
        [label] => HL
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 562.01
        [kind] => high
        [label] => LH
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 563.55
        [kind] => high
        [label] => LH
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-29 03:00:00
        [price] => 528.04
        [kind] => low
        [label] => LL
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-29 09:00:00
        [price] => 545.72
        [kind] => high
        [label] => LH
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 521.87
        [kind] => low
        [label] => LL
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-29 17:00:00
        [price] => 558.71
        [kind] => high
        [label] => HH
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 501.8
        [kind] => low
        [label] => LL
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-30 17:00:00
        [price] => 542.1
        [kind] => high
        [label] => LH
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-30 22:00:00
        [price] => 524.8
        [kind] => low
        [label] => HL
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-31 06:00:00
        [price] => 557.84
        [kind] => high
        [label] => HH
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 543.37
        [kind] => low
        [label] => HL
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-31 09:00:00
        [price] => 562.09
        [kind] => high
        [label] => HH
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-31 11:00:00
        [price] => 544
        [kind] => low
        [label] => HL
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 558.45
        [kind] => high
        [label] => LH
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 14:00:00
        [price] => 538.51
        [kind] => low
        [label] => LL
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 597.56
        [kind] => high
        [label] => HH
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-06-01 01:00:00
        [price] => 561.8
        [kind] => low
        [label] => HL
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-06-01 15:00:00
        [price] => 526.32
        [kind] => low
        [label] => LL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 20:00:00
        [price] => 567.81
        [kind] => high
        [label] => LH
    )
    
  173. strategy_details
  174. levels_hl_price:
    526.32
  175. levels_hl_timestamp: 2026-06-01 15:00:00
  176. levels_hh_price:
    567.81
  177. levels_lh_price:
    567.81
  178. levels_lh_timestamp: 2026-06-01 20:00:00
  179. levels_ll_price:
    526.32
  180. ¸
  181. regimes
  182. 4H : bear_high
  183. 1H : range_high
  184. 15m : bear_high
  185. ¸
  186. trend_analyzer_4h
  187. direction : down
  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 : expansion
  196. htf_context : unknown
  197. risk_state : discount
  198. confidence : 0.521
  199. state : down_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.3389
  202. scores_strength_score:
    0.5889
  203. scores_quality_score:
    0.3396
  204. scores_cleanliness_score:
    0.2098
  205. scores_structural_quality:
    0.4459
  206. scores_pullback_score:
    0.5175
  207. scores_exhaustion_score:
    0.3807
  208. scores_continuation_score:
    0.6214
  209. scores_structure_score:
    0.4021
  210. scores_volatility_expansion:
    0.7262
  211. scores_momentum_type_score:
    0.5009
  212. scores_risk_score:
    0.2931
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.0092
  215. features_ema50_slope:
    -0.0263
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -0.1045
  218. features_price_vs_ema50:
    -0.6213
  219. features_recent_hh_hl_score:
    0.5556
  220. features_recent_lh_ll_score:
    0.4444
  221. features_last_bos_direction:
    -1
  222. features_bars_since_last_bos:
    16
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.5804
  225. features_trend_efficiency:
    0.3976
  226. features_impulse_strength:
    8.1023
  227. features_directional_candle_ratio:
    0.6
  228. features_pullback_depth_ratio:
    0.5175
  229. features_pullback_depth_atr:
    4.1929
  230. features_extension_from_mean:
    -0.6213
  231. features_impulse_decay_score:
    0.5836
  232. features_opposing_wick_pressure:
    0.3717
  233. features_volatility_percentile:
    0.78
  234. features_volatility_delta:
    0.0873
  235. features_body_ratio:
    0.4475
  236. features_closes_position_ratio:
    0.4128
  237. features_slope_consistency:
    0.4807
  238. features_range_position:
    0.2931
  239. features_distance_to_recent_high:
    -5.8796
  240. features_distance_to_recent_low:
    2.4384
  241. features_had_recent_range:
    1
  242. features_had_recent_compression:
    0
  243. features_post_break_hl_count:
    1
  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 (10)

# Heure Entry Δ
1 18:37 545.50000000 0%
2 18:44 545.50000000 0%
3 18:53 544.20000000 -0.238%
4 19:09 546.79000000 +0.236%
5 19:19 546.67000000 +0.214%
6 19:27 548.18000000 +0.491%
7 19:35 544.10000000 -0.257%
8 19:44 543.71000000 -0.328%
9 19:53 546.73000000 +0.225%
10 20:01 544.54000000 -0.176%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 78%

Trend

Trend Strength
0.111
Persistence
0.500
High Δ ATR
-2.422
Low Δ ATR
-2.888

Current Swing

Amp ATR
3.243
Speed
0.648
Efficiency
0.518

Structure

Retracement
1.169
Extension
0.703
Compression
1.067
Entropy
1.000
Breakout Str.
-4.248
Dist High ATR
-1.827
Dist Low ATR
1.551
31 pivots · 30 swings · Last pivot: ↑ 567.8100 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.419
Strength Score 0.608
Quality Score 0.369
Cleanliness Score 0.232
Structural Quality 0.480
Pullback Score 1.000
Exhaustion Score 0.349
Continuation Score 0.438
Structure Score 0.374
Volatility Expansion 0.288
Momentum Type Score 0.510
Risk Score 0.455
Features
Ema20 Slope
0.027
Ema50 Slope
0.016
Ema Alignment Score
0.333
Price Vs Ema20
-0.390
Price Vs Ema50
-0.279
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.535
Trend Efficiency
0.518
Impulse Strength
3.243
Directional Candle Ratio
0.700
Pullback Depth Ratio
1.169
Pullback Depth Atr
3.342
Extension From Mean
-0.279
Impulse Decay Score
0.649
Opposing Wick Pressure
0.260
Volatility Percentile
0.480
Volatility Delta
-0.367
Body Ratio
0.407
Closes Position Ratio
0.416
Slope Consistency
0.370
Range Position
0.455
Distance To Recent High
-4.431
Distance To Recent Low
3.699
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Trend Analyzer 4H

1H ↓ down down_range_grind
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.339
Strength Score 0.589
Quality Score 0.340
Cleanliness Score 0.210
Structural Quality 0.446
Pullback Score 0.518
Exhaustion Score 0.381
Continuation Score 0.621
Structure Score 0.402
Volatility Expansion 0.726
Momentum Type Score 0.501
Risk Score 0.293
Features
Ema20 Slope
-0.009
Ema50 Slope
-0.026
Ema Alignment Score
0.000
Price Vs Ema20
-0.105
Price Vs Ema50
-0.621
Recent Hh Hl Score
0.556
Recent Lh Ll Score
0.444
Last Bos Direction
-1.000
Bars Since Last Bos
16.000
Candle Overlap Ratio
1.000
Wick Ratio
0.580
Trend Efficiency
0.398
Impulse Strength
8.102
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.518
Pullback Depth Atr
4.193
Extension From Mean
-0.621
Impulse Decay Score
0.584
Opposing Wick Pressure
0.372
Volatility Percentile
0.780
Volatility Delta
0.087
Body Ratio
0.448
Closes Position Ratio
0.413
Slope Consistency
0.481
Range Position
0.293
Distance To Recent High
-5.880
Distance To Recent Low
2.438
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7097ms Confidence avant OB : 80%70%

Order Book Imbalance

OBI Top 5 0.302
avg 0.167 ± 0.090
OBI Top 10 0.302

Microstructure

Mid Price
545.3350
Micro Price
545.3396
Spread
0.0018%

📌 Time Data

Start at Closed at Duration
01 Jun 2026
18:37:01
01 Jun 2026
23:30:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
545.5 568.669 475.9931 3 523.94
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 545.5
  • Stop Loss: 568.669
  • Take Profit: 475.9931

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 568.669 - 545.5 = 23.169

  • Récompense (distance jusqu'au take profit):

    E - TP = 545.5 - 475.9931 = 69.5069

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 69.5069 / 23.169 = 3

📌 Position Size

Amount Margin Quantity Leverage
188.3554 100 0.3453 1.88
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 23.169

Taille de position = 8 / 23.169 = 0.35

Taille de position USD = 0.35 x 545.5 = 190.93

Donc, tu peux acheter 0.35 avec un stoploss a 568.669

Avec un position size USD de 190.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.35 x 23.169 = 8.11

Si Stop Loss atteint, tu perdras 8.11$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.35 x 69.5069 = 24.33

Si Take Profit atteint, tu gagneras 24.33$

Résumé

  • Taille de position 0.35
  • Taille de position USD 190.93
  • Perte potentielle 8.11
  • Gain potentiel 24.33
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
12.74 % 24 $
SL % Target SL $ Target
4.25 % 8 $
PNL PNL %
-8 $ -4.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.4638 % 105.1 % 23

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 475.9931
            [entry_price] => 545.5
            [stop_loss] => 570.9859
            [rr_ratio] => 2.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-02 03:45:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 475.9931
            [entry_price] => 545.5
            [stop_loss] => 573.3028
            [rr_ratio] => 2.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-02 03:45:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 475.9931
            [entry_price] => 545.5
            [stop_loss] => 575.6197
            [rr_ratio] => 2.31
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-02 03:50:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 8.9299999999999
            [max_drawdown] => 5.6900000000001
            [rr_ratio] => 1.57
            [high] => 551.19000000
            [low] => 536.57000000
            [mfe_pct] => 1.64
            [mae_pct] => 1.04
            [mfe_mae_ratio] => 1.57
            [candles_analyzed] => 24
            [start_at] => 2026-06-01T18:37:01-04:00
            [end_at] => 2026-06-01T20:37:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 14.43
            [max_drawdown] => 33.24
            [rr_ratio] => 0.43
            [high] => 578.74000000
            [low] => 531.07000000
            [mfe_pct] => 2.65
            [mae_pct] => 6.09
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 84
            [start_at] => 2026-06-01T18:37:01-04:00
            [end_at] => 2026-06-02T01:37:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 567.81000000
            [high_after] => 578.74000000
            [low_before] => 536.57000000
            [low_after] => 531.07000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#84 / n/a OUT
seuil : top 15 · score du 01/06/2026 18:00
Signal Confidence
70 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime