29 May 2026 at 09:27:50

Long Trade on XAG (WedgePullback)

With 11.78 XAG at 75.67$ per unit. Take profit: 77.7077 (2.69 %) & Stop Loss: 74.9908 (0.9 %)

Long WedgePullback on XAG (29 May 2026 at 09:27:50 to 10:25:00 - 57 minutes )

With 11.7781 XAG at 75.67$ per unit.

Position size of 891.2498 $
Take profit at 77.7077 (2.69 %) and Stop Loss at 74.9908 (0.9 %)

That's a 3 RR Trade
Duration: 57 minutes

Results

Status:
loss
Trade Type:
buy
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_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low_confirmed

Score : 0

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

29/05 09:01

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : range_medium

15m_regime : range_low

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
75%
29/05 08:00
1h ↑ up transition bullish_transition moderate grind compression range_high
50%
29/05 11:00
15m ↔ neutral range range moderate balanced expansion_after_compression range_low
47%
29/05 13:00
5m ↔ neutral range range moderate balanced volatile_reversal range_low
40%
29/05 13:15

Signal

WedgePullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.8
  3. reason: descending_wedge_hl_anticipation
  4. stop_price: 74.99077401
  5. tp_price: 77.70767797
  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_up
  11. confidence : 1
  12. trend_strength : 0.0594
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.3161
  15. low_delta_atr : 5.8181
  16. current_swing_amp_atr : 2.6498
  17. current_swing_speed : 0.37854
  18. current_swing_efficiency : 0.3311
  19. retracement_ratio : 0.3233
  20. extension_ratio : 0.4425
  21. compression_score : 2.1405
  22. swing_entropy : 1
  23. breakout_strength : -7.3189
  24. distance_to_last_high_atr : -1.2785
  25. distance_to_last_low_atr : 1.5008
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    75.03
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.567
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6928
  49. scores_strength_score:
    0.5415
  50. scores_quality_score:
    0.3293
  51. scores_cleanliness_score:
    0.2072
  52. scores_structural_quality:
    0.4292
  53. scores_pullback_score:
    0.3233
  54. scores_exhaustion_score:
    0.4618
  55. scores_continuation_score:
    0.7386
  56. scores_structure_score:
    0.6354
  57. scores_volatility_expansion:
    0.072
  58. scores_momentum_type_score:
    0.52
  59. scores_risk_score:
    0.5643
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0595
  62. features_ema50_slope:
    0.0389
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.5867
  65. features_price_vs_ema50:
    1.0117
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    12
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5857
  72. features_trend_efficiency:
    0.3311
  73. features_impulse_strength:
    7.8844
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.3233
  76. features_pullback_depth_atr:
    2.549
  77. features_extension_from_mean:
    1.0117
  78. features_impulse_decay_score:
    0.7788
  79. features_opposing_wick_pressure:
    0.2472
  80. features_volatility_percentile:
    0.12
  81. features_volatility_delta:
    -0.3811
  82. features_body_ratio:
    0.3704
  83. features_closes_position_ratio:
    0.5421
  84. features_slope_consistency:
    0.7617
  85. features_range_position:
    0.5643
  86. features_distance_to_recent_high:
    -6.0431
  87. features_distance_to_recent_low:
    7.8263
  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 : -0.1144
  99. obi_top10 : -0.0733
  100. micro_price : 75.8104465
  101. spread_pct : 0.013191
  102. mid_price : 75.815
  103. bid_wall_price : 75.6
  104. bid_wall_size : 11002.66
  105. bid_wall_dist_atr :
  106. ask_wall_price : 76
  107. ask_wall_size : 14551.988
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.1193
  111. obi_top5_std : 0.0096
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7209
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : range
  121. ms_state_1h : impulse_up
  122. strategy_details
  123. wedge_4h_type: descending_wedge
  124. wedge_4h_strength:
    0.905
  125. wedge_4h_bias: bullish_breakout
  126. wedge_4h_breakout_type: descending_wedge
  127. wedge_4h_breakout_strength:
    0.905
  128. wedge_4h_upper_line:
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        [37] => Array
            (
                [time] => 1779220800
                [value] => 73.90897567
            )
    
        [38] => Array
            (
                [time] => 1779235200
                [value] => 73.89426947
            )
    
        [39] => Array
            (
                [time] => 1779249600
                [value] => 73.87956328
            )
    
        [40] => Array
            (
                [time] => 1779264000
                [value] => 73.86485708
            )
    
        [41] => Array
            (
                [time] => 1779278400
                [value] => 73.85015089
            )
    
        [42] => Array
            (
                [time] => 1779292800
                [value] => 73.83544469
            )
    
        [43] => Array
            (
                [time] => 1779307200
                [value] => 73.8207385
            )
    
        [44] => Array
            (
                [time] => 1779321600
                [value] => 73.8060323
            )
    
        [45] => Array
            (
                [time] => 1779336000
                [value] => 73.79132611
            )
    
        [46] => Array
            (
                [time] => 1779350400
                [value] => 73.77661991
            )
    
        [47] => Array
            (
                [time] => 1779364800
                [value] => 73.76191372
            )
    
        [48] => Array
            (
                [time] => 1779379200
                [value] => 73.74720752
            )
    
        [49] => Array
            (
                [time] => 1779393600
                [value] => 73.73250133
            )
    
        [50] => Array
            (
                [time] => 1779408000
                [value] => 73.71779513
            )
    
        [51] => Array
            (
                [time] => 1779422400
                [value] => 73.70308894
            )
    
        [52] => Array
            (
                [time] => 1779436800
                [value] => 73.68838274
            )
    
        [53] => Array
            (
                [time] => 1779451200
                [value] => 73.67367655
            )
    
        [54] => Array
            (
                [time] => 1779465600
                [value] => 73.65897035
            )
    
        [55] => Array
            (
                [time] => 1779480000
                [value] => 73.64426416
            )
    
        [56] => Array
            (
                [time] => 1779494400
                [value] => 73.62955796
            )
    
        [57] => Array
            (
                [time] => 1779508800
                [value] => 73.61485177
            )
    
        [58] => Array
            (
                [time] => 1779523200
                [value] => 73.60014557
            )
    
        [59] => Array
            (
                [time] => 1779537600
                [value] => 73.58543938
            )
    
        [60] => Array
            (
                [time] => 1779552000
                [value] => 73.57073318
            )
    
        [61] => Array
            (
                [time] => 1779566400
                [value] => 73.55602699
            )
    
        [62] => Array
            (
                [time] => 1779580800
                [value] => 73.54132079
            )
    
        [63] => Array
            (
                [time] => 1779595200
                [value] => 73.5266146
            )
    
        [64] => Array
            (
                [time] => 1779609600
                [value] => 73.51190841
            )
    
        [65] => Array
            (
                [time] => 1779624000
                [value] => 73.49720221
            )
    
        [66] => Array
            (
                [time] => 1779638400
                [value] => 73.48249602
            )
    
        [67] => Array
            (
                [time] => 1779652800
                [value] => 73.46778982
            )
    
        [68] => Array
            (
                [time] => 1779667200
                [value] => 73.45308363
            )
    
        [69] => Array
            (
                [time] => 1779681600
                [value] => 73.43837743
            )
    
        [70] => Array
            (
                [time] => 1779696000
                [value] => 73.42367124
            )
    
        [71] => Array
            (
                [time] => 1779710400
                [value] => 73.40896504
            )
    
        [72] => Array
            (
                [time] => 1779724800
                [value] => 73.39425885
            )
    
        [73] => Array
            (
                [time] => 1779739200
                [value] => 73.37955265
            )
    
        [74] => Array
            (
                [time] => 1779753600
                [value] => 73.36484646
            )
    
        [75] => Array
            (
                [time] => 1779768000
                [value] => 73.35014026
            )
    
        [76] => Array
            (
                [time] => 1779782400
                [value] => 73.33543407
            )
    
        [77] => Array
            (
                [time] => 1779796800
                [value] => 73.32072787
            )
    
        [78] => Array
            (
                [time] => 1779811200
                [value] => 73.30602168
            )
    
        [79] => Array
            (
                [time] => 1779825600
                [value] => 73.29131548
            )
    
        [80] => Array
            (
                [time] => 1779840000
                [value] => 73.27660929
            )
    
        [81] => Array
            (
                [time] => 1779854400
                [value] => 73.26190309
            )
    
        [82] => Array
            (
                [time] => 1779868800
                [value] => 73.2471969
            )
    
        [83] => Array
            (
                [time] => 1779883200
                [value] => 73.2324907
            )
    
        [84] => Array
            (
                [time] => 1779897600
                [value] => 73.21778451
            )
    
        [85] => Array
            (
                [time] => 1779912000
                [value] => 73.20307831
            )
    
        [86] => Array
            (
                [time] => 1779926400
                [value] => 73.18837212
            )
    
        [87] => Array
            (
                [time] => 1779940800
                [value] => 73.17366592
            )
    
        [88] => Array
            (
                [time] => 1779955200
                [value] => 73.15895973
            )
    
        [89] => Array
            (
                [time] => 1779969600
                [value] => 73.14425353
            )
    
        [90] => Array
            (
                [time] => 1779984000
                [value] => 73.12954734
            )
    
        [91] => Array
            (
                [time] => 1779998400
                [value] => 73.11484114
            )
    
        [92] => Array
            (
                [time] => 1780012800
                [value] => 73.10013495
            )
    
        [93] => Array
            (
                [time] => 1780027200
                [value] => 73.08542875
            )
    
        [94] => Array
            (
                [time] => 1780041600
                [value] => 73.07072256
            )
    
        [95] => Array
            (
                [time] => 1780056000
                [value] => 73.05601636
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1779969600
        [price] => 75.15
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-05-02 20:00:00
        [price] => 75.35
        [kind] => low
        [label] => HL
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-05-03 20:00:00
        [price] => 76.57
        [kind] => high
        [label] => LH
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-05-04 08:00:00
        [price] => 72.21
        [kind] => low
        [label] => LL
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-04 12:00:00
        [price] => 74.65
        [kind] => high
        [label] => LH
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-05 00:00:00
        [price] => 72.42
        [kind] => low
        [label] => HL
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-07 12:00:00
        [price] => 82.13
        [kind] => high
        [label] => HH
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-07 20:00:00
        [price] => 78.22
        [kind] => low
        [label] => HL
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-10 12:00:00
        [price] => 81.7
        [kind] => high
        [label] => LH
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-10 20:00:00
        [price] => 79.02
        [kind] => low
        [label] => HL
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-11 00:00:00
        [price] => 81.59
        [kind] => high
        [label] => LH
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-11 20:00:00
        [price] => 87.21
        [kind] => high
        [label] => HH
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 83.02
        [kind] => low
        [label] => HL
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-13 16:00:00
        [price] => 89.36
        [kind] => high
        [label] => HH
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-18 00:00:00
        [price] => 73.93
        [kind] => low
        [label] => LL
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 78.96
        [kind] => high
        [label] => LH
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-19 12:00:00
        [price] => 73.18
        [kind] => low
        [label] => LL
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-23 20:00:00
        [price] => 77.8
        [kind] => high
        [label] => LH
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-24 12:00:00
        [price] => 75.68
        [kind] => low
        [label] => HL
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-24 20:00:00
        [price] => 78.89
        [kind] => high
        [label] => HH
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 71.89
        [kind] => low
        [label] => LL
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-24 16:00:00
        [price] => 76.69
        [kind] => high
        [label] => LH
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 75.97
        [kind] => low
        [label] => HL
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-24 23:00:00
        [price] => 78.89
        [kind] => high
        [label] => HH
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-25 03:00:00
        [price] => 77.37
        [kind] => low
        [label] => HL
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-25 11:00:00
        [price] => 78.32
        [kind] => high
        [label] => LH
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-25 13:00:00
        [price] => 77.4
        [kind] => low
        [label] => HL
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-25 17:00:00
        [price] => 78.53
        [kind] => high
        [label] => HH
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-26 01:00:00
        [price] => 75.78
        [kind] => low
        [label] => LL
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 77.09
        [kind] => high
        [label] => LH
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 09:00:00
        [price] => 75.72
        [kind] => low
        [label] => HL
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 76.68
        [kind] => high
        [label] => LH
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 75.6
        [kind] => low
        [label] => HL
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-27 00:00:00
        [price] => 77.61
        [kind] => high
        [label] => HH
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 07:00:00
        [price] => 74.74
        [kind] => low
        [label] => LL
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 09:00:00
        [price] => 75.62
        [kind] => high
        [label] => LH
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-27 11:00:00
        [price] => 73.53
        [kind] => low
        [label] => LL
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 75.28
        [kind] => high
        [label] => LH
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-28 05:00:00
        [price] => 71.89
        [kind] => low
        [label] => LL
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 76.53
        [kind] => high
        [label] => HH
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-05-29 08:00:00
        [price] => 75.03
        [kind] => low
        [label] => HL
    )
    
  173. strategy_details
  174. levels_hl_price:
    75.03
  175. levels_hl_timestamp: 2026-05-29 08:00:00
  176. levels_hh_price:
    76.53
  177. levels_lh_price:
    76.53
  178. levels_lh_timestamp: 2026-05-29 01:00:00
  179. levels_ll_price:
    75.03
  180. ¸
  181. regimes
  182. 4H : bear_high
  183. 1H : range_medium
  184. 15m : range_low
  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 : low
  194. momentum_type : grind
  195. volatility_regime : normal
  196. htf_context : unknown
  197. risk_state : discount
  198. confidence : 0.527
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4135
  202. scores_strength_score:
    0.5062
  203. scores_quality_score:
    0.2812
  204. scores_cleanliness_score:
    0.2227
  205. scores_structural_quality:
    0.3292
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.0856
  208. scores_continuation_score:
    0.5147
  209. scores_structure_score:
    0.3751
  210. scores_volatility_expansion:
    0.4448
  211. scores_momentum_type_score:
    0.4987
  212. scores_risk_score:
    0.2261
  213. trend_analyzer_4h
  214. features_ema20_slope:
    0.0341
  215. features_ema50_slope:
    -0.0119
  216. features_ema_alignment_score:
    0.3333
  217. features_price_vs_ema20:
    0.3667
  218. features_price_vs_ema50:
    -0.1597
  219. features_recent_hh_hl_score:
    0.5
  220. features_recent_lh_ll_score:
    0.5
  221. features_last_bos_direction:
    -1
  222. features_bars_since_last_bos:
    8
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.5547
  225. features_trend_efficiency:
    0.2527
  226. features_impulse_strength:
    5.4975
  227. features_directional_candle_ratio:
    0.55
  228. features_pullback_depth_ratio:
    2.1807
  229. features_pullback_depth_atr:
    6.7828
  230. features_extension_from_mean:
    -0.1597
  231. features_impulse_decay_score:
    0
  232. features_opposing_wick_pressure:
    0.2867
  233. features_volatility_percentile:
    0.42
  234. features_volatility_delta:
    -0.0108
  235. features_body_ratio:
    0.516
  236. features_closes_position_ratio:
    0.5045
  237. features_slope_consistency:
    0.461
  238. features_range_position:
    0.2261
  239. features_distance_to_recent_high:
    -12.6346
  240. features_distance_to_recent_low:
    3.6913
  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_up
Confidence 100%

Trend

Trend Strength
0.059
Persistence
0.500
High Δ ATR
2.316
Low Δ ATR
5.818

Current Swing

Amp ATR
2.650
Speed
0.379
Efficiency
0.331

Structure

Retracement
0.323
Extension
0.443
Compression
2.141
Entropy
1.000
Breakout Str.
-7.319
Dist High ATR
-1.279
Dist Low ATR
1.501
24 pivots · 23 swings · Last pivot: ↓ 75.0300 @ bar 144

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 57%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.693
Strength Score 0.542
Quality Score 0.329
Cleanliness Score 0.207
Structural Quality 0.429
Pullback Score 0.323
Exhaustion Score 0.462
Continuation Score 0.739
Structure Score 0.635
Volatility Expansion 0.072
Momentum Type Score 0.520
Risk Score 0.564
Features
Ema20 Slope
0.060
Ema50 Slope
0.039
Ema Alignment Score
1.000
Price Vs Ema20
0.587
Price Vs Ema50
1.012
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.586
Trend Efficiency
0.331
Impulse Strength
7.884
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.323
Pullback Depth Atr
2.549
Extension From Mean
1.012
Impulse Decay Score
0.779
Opposing Wick Pressure
0.247
Volatility Percentile
0.120
Volatility Delta
-0.381
Body Ratio
0.370
Closes Position Ratio
0.542
Slope Consistency
0.762
Range Position
0.564
Distance To Recent High
-6.043
Distance To Recent Low
7.826
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 53%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.414
Strength Score 0.506
Quality Score 0.281
Cleanliness Score 0.223
Structural Quality 0.329
Pullback Score 1.000
Exhaustion Score 0.086
Continuation Score 0.515
Structure Score 0.375
Volatility Expansion 0.445
Momentum Type Score 0.499
Risk Score 0.226
Features
Ema20 Slope
0.034
Ema50 Slope
-0.012
Ema Alignment Score
0.333
Price Vs Ema20
0.367
Price Vs Ema50
-0.160
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.555
Trend Efficiency
0.253
Impulse Strength
5.498
Directional Candle Ratio
0.550
Pullback Depth Ratio
2.181
Pullback Depth Atr
6.783
Extension From Mean
-0.160
Impulse Decay Score
0.000
Opposing Wick Pressure
0.287
Volatility Percentile
0.420
Volatility Delta
-0.011
Body Ratio
0.516
Closes Position Ratio
0.505
Slope Consistency
0.461
Range Position
0.226
Distance To Recent High
-12.635
Distance To Recent Low
3.691
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7209ms Confidence avant OB : 80%80%

Order Book Imbalance

OBI Top 5 -0.114
avg -0.119 ± 0.010
OBI Top 10 -0.073

Microstructure

Mid Price
75.8150
Micro Price
75.8104
Spread
0.0132%

↑ Bid Wall (Support)

Price
75.6000
Size
11,002.66

↓ Ask Wall (Resistance)

Price
76.0000
Size
14,551.99

📌 Time Data

Start at Closed at Duration
29 May 2026
09:27:50
29 May 2026
10:25:00
57 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
75.67 74.9908 77.7077 3 64.83
Details
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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 75.67
  • Stop Loss: 74.9908
  • Take Profit: 77.7077

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 74.9908 - 75.67 = -0.67920000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 75.67 - 77.7077 = -2.0377

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.0377 / -0.67920000000001 = 3.0001

📌 Position Size

Amount Margin Quantity Leverage
891.2498 100 11.7781 8.91
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.67920000000001

Taille de position = 8 / -0.67920000000001 = -11.78

Taille de position USD = -11.78 x 75.67 = -891.39

Donc, tu peux acheter -11.78 avec un stoploss a 74.9908

Avec un position size USD de -891.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11.78 x -0.67920000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11.78 x -2.0377 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position -11.78
  • Taille de position USD -891.39
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 3.0001

📌 Peformances

TP % Target TP $ Target
2.69 % 24 $
SL % Target SL $ Target
0.9 % 8 $
PNL PNL %
-8 $ -0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9251 % 103.06 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 77.7077
            [entry_price] => 75.67
            [stop_loss] => 74.92288
            [rr_ratio] => 2.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-29 14:25:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 77.7077
            [entry_price] => 75.67
            [stop_loss] => 74.85496
            [rr_ratio] => 2.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-29 14:25:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 77.7077
            [entry_price] => 75.67
            [stop_loss] => 74.78704
            [rr_ratio] => 2.31
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-29 14:30:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.07
            [max_drawdown] => 0.98999999999999
            [rr_ratio] => 1.08
            [high] => 76.74000000
            [low] => 74.68000000
            [mfe_pct] => 1.41
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 24
            [start_at] => 2026-05-29T09:27:50-04:00
            [end_at] => 2026-05-29T11:27:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.07
            [max_drawdown] => 0.98999999999999
            [rr_ratio] => 1.08
            [high] => 76.74000000
            [low] => 74.68000000
            [mfe_pct] => 1.41
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 84
            [start_at] => 2026-05-29T09:27:50-04:00
            [end_at] => 2026-05-29T16:27:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 75.88000000
            [high_after] => 76.74000000
            [low_before] => 75.19000000
            [low_after] => 74.68000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#26 / n/a OUT
seuil : top 15 · score du 29/05/2026 09:00
Signal Confidence
80 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime