31 May 2026 at 21:39:53

Short Trade on NEAR (WedgePullback)

With 99.12 NEAR at 2.288$ per unit. Take profit: 2.0462 (10.58 %) & Stop Loss: 2.369 (3.53 %)

Short WedgePullback on NEAR (31 May 2026 at 21:39:53 to 22:40:00 - 1 hour )

With 99.1238 NEAR at 2.2883$ per unit.

Position size of 226.8249 $
Take profit at 2.0462 (10.58 %) and Stop Loss at 2.369 (3.53 %)

That's a 3 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.35
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

Score : 1

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

31/05 21:01

BTC Correlation Coin Market Regime

4H_regime : bull_high

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range moderate grind compression bull_high
71%
31/05 20:00
1h ↓ down range range moderate balanced expansion_after_compression bear_high
73%
01/06 01:00
15m ↔ neutral transition bullish_transition moderate grind volatile_reversal range_high
35%
01/06 01:30
5m ↔ neutral range range moderate grind compression range_medium
42%
01/06 01:30

Signal

WedgePullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.6
  3. reason: ascending_wedge_lh_anticipation|ob:bid_pressure(-0.10)
  4. stop_price: 2.36900718
  5. tp_price: 2.04617845
  6. atr:
  7. score: 0.7
  8. confidence_pre_ob: 0.7
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 : 0.814
  12. trend_strength : -0.0931
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.2795
  15. low_delta_atr : -0.6258
  16. current_swing_amp_atr : 3.092
  17. current_swing_speed : 0.6184
  18. current_swing_efficiency : 0.4482
  19. retracement_ratio : 1.0979
  20. extension_ratio : 1.406
  21. compression_score : 0.911
  22. swing_entropy : 1
  23. breakout_strength : -1.358
  24. distance_to_last_high_atr : -1.6374
  25. distance_to_last_low_atr : 1.4977
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    2.3649
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  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 : expansion
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.455
  46. state : down_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3974
  49. scores_strength_score:
    0.5196
  50. scores_quality_score:
    0.3308
  51. scores_cleanliness_score:
    0.2239
  52. scores_structural_quality:
    0.4183
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2595
  55. scores_continuation_score:
    0.4561
  56. scores_structure_score:
    0.5687
  57. scores_volatility_expansion:
    0.856
  58. scores_momentum_type_score:
    0.4939
  59. scores_risk_score:
    0.1435
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0426
  62. features_ema50_slope:
    -0.0111
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2258
  65. features_price_vs_ema50:
    -0.8296
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5522
  72. features_trend_efficiency:
    0.4482
  73. features_impulse_strength:
    3.136
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.0979
  76. features_pullback_depth_atr:
    3.443
  77. features_extension_from_mean:
    -0.8296
  78. features_impulse_decay_score:
    0.297
  79. features_opposing_wick_pressure:
    0.2725
  80. features_volatility_percentile:
    0.76
  81. features_volatility_delta:
    0.3298
  82. features_body_ratio:
    0.514
  83. features_closes_position_ratio:
    0.4915
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.1435
  86. features_distance_to_recent_high:
    -8.4306
  87. features_distance_to_recent_low:
    1.4128
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  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 : 0.1762
  99. obi_top10 : 0.1762
  100. micro_price : 2.28130079
  101. spread_pct : 0.004383
  102. mid_price : 2.28135
  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 : 0.1836
  111. obi_top5_std : 0.0041
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7141
  115. aggregation_tick : 0.01
  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:
    0.5
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.5
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                [time] => 1780099200
                [value] => 2.54914561
            )
    
        [61] => Array
            (
                [time] => 1780113600
                [value] => 2.56430707
            )
    
        [62] => Array
            (
                [time] => 1780128000
                [value] => 2.57946853
            )
    
        [63] => Array
            (
                [time] => 1780142400
                [value] => 2.59462999
            )
    
        [64] => Array
            (
                [time] => 1780156800
                [value] => 2.60979145
            )
    
        [65] => Array
            (
                [time] => 1780171200
                [value] => 2.62495291
            )
    
        [66] => Array
            (
                [time] => 1780185600
                [value] => 2.64011436
            )
    
        [67] => Array
            (
                [time] => 1780200000
                [value] => 2.65527582
            )
    
        [68] => Array
            (
                [time] => 1780214400
                [value] => 2.67043728
            )
    
        [69] => Array
            (
                [time] => 1780228800
                [value] => 2.68559874
            )
    
        [70] => Array
            (
                [time] => 1780243200
                [value] => 2.7007602
            )
    
        [71] => Array
            (
                [time] => 1780257600
                [value] => 2.71592166
            )
    
        [72] => Array
            (
                [time] => 1780272000
                [value] => 2.73108312
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1780084800
        [price] => 2.3779
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-05-04 04:00:00
        [price] => 1.3109
        [kind] => high
        [label] => LH
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-05-06 20:00:00
        [price] => 1.5464
        [kind] => high
        [label] => HH
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-05-07 20:00:00
        [price] => 1.45
        [kind] => low
        [label] => HL
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-10 20:00:00
        [price] => 1.63
        [kind] => high
        [label] => HH
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-12 00:00:00
        [price] => 1.5017
        [kind] => low
        [label] => HL
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-12 08:00:00
        [price] => 1.6057
        [kind] => high
        [label] => LH
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 1.513
        [kind] => low
        [label] => HL
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-13 00:00:00
        [price] => 1.6907
        [kind] => high
        [label] => HH
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-17 00:00:00
        [price] => 1.4756
        [kind] => low
        [label] => LL
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-17 08:00:00
        [price] => 1.5584
        [kind] => high
        [label] => LH
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 1.4651
        [kind] => low
        [label] => LL
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-19 16:00:00
        [price] => 1.6864
        [kind] => high
        [label] => HH
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-20 00:00:00
        [price] => 1.5792
        [kind] => low
        [label] => HL
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-22 12:00:00
        [price] => 2.3347
        [kind] => high
        [label] => HH
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-23 08:00:00
        [price] => 2.0102
        [kind] => low
        [label] => HL
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-26 08:00:00
        [price] => 2.9767
        [kind] => high
        [label] => HH
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-27 08:00:00
        [price] => 2.4466
        [kind] => low
        [label] => HL
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-27 16:00:00
        [price] => 2.7358
        [kind] => high
        [label] => LH
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-28 12:00:00
        [price] => 2.2654
        [kind] => low
        [label] => LL
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-29 16:00:00
        [price] => 2.6317
        [kind] => high
        [label] => LH
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-27 02:00:00
        [price] => 2.4577
        [kind] => low
        [label] => LL
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 08:00:00
        [price] => 2.5783
        [kind] => high
        [label] => LH
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 10:00:00
        [price] => 2.4466
        [kind] => low
        [label] => HL
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 2.6227
        [kind] => high
        [label] => HH
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-27 17:00:00
        [price] => 2.5088
        [kind] => low
        [label] => HL
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-27 19:00:00
        [price] => 2.7358
        [kind] => high
        [label] => HH
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 2.2654
        [kind] => low
        [label] => LL
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 2.563
        [kind] => high
        [label] => LH
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 2.44
        [kind] => low
        [label] => HL
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 07:00:00
        [price] => 2.5751
        [kind] => high
        [label] => LH
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 13:00:00
        [price] => 2.405
        [kind] => low
        [label] => LL
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 16:00:00
        [price] => 2.6317
        [kind] => high
        [label] => HH
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 2.2455
        [kind] => low
        [label] => LL
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-30 10:00:00
        [price] => 2.4429
        [kind] => high
        [label] => LH
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 2.225
        [kind] => low
        [label] => LL
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 07:00:00
        [price] => 2.3457
        [kind] => high
        [label] => LH
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 10:00:00
        [price] => 2.2374
        [kind] => low
        [label] => HL
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-31 15:00:00
        [price] => 2.3507
        [kind] => high
        [label] => LH
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 2.2056
        [kind] => low
        [label] => LL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-06-01 00:00:00
        [price] => 2.3649
        [kind] => high
        [label] => HH
    )
    
  173. strategy_details
  174. levels_hl_price:
    2.2056
  175. levels_hl_timestamp: 2026-05-31 19:00:00
  176. levels_hh_price:
    2.3649
  177. levels_lh_price:
    2.3649
  178. levels_lh_timestamp: 2026-06-01 00:00:00
  179. levels_ll_price:
    2.2056
  180. ¸
  181. regimes
  182. 4H : bull_high
  183. 1H : bear_high
  184. 15m : range_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 : low
  194. momentum_type : grind
  195. volatility_regime : compression
  196. htf_context : unknown
  197. risk_state : mid_range
  198. confidence : 0.476
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4232
  202. scores_strength_score:
    0.472
  203. scores_quality_score:
    0.3072
  204. scores_cleanliness_score:
    0.2071
  205. scores_structural_quality:
    0.3892
  206. scores_pullback_score:
    0.7787
  207. scores_exhaustion_score:
    0.2824
  208. scores_continuation_score:
    0.4595
  209. scores_structure_score:
    0.4231
  210. scores_volatility_expansion:
    0.0689
  211. scores_momentum_type_score:
    0.5203
  212. scores_risk_score:
    0.5402
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.0804
  215. features_ema50_slope:
    -0.0203
  216. features_ema_alignment_score:
    0.3333
  217. features_price_vs_ema20:
    -0.6666
  218. features_price_vs_ema50:
    -0.5036
  219. features_recent_hh_hl_score:
    0.6
  220. features_recent_lh_ll_score:
    0.4
  221. features_last_bos_direction:
    -1
  222. features_bars_since_last_bos:
    21
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.5858
  225. features_trend_efficiency:
    0.3458
  226. features_impulse_strength:
    3.535
  227. features_directional_candle_ratio:
    0.5
  228. features_pullback_depth_ratio:
    0.7787
  229. features_pullback_depth_atr:
    2.7527
  230. features_extension_from_mean:
    -0.5036
  231. features_impulse_decay_score:
    0.3667
  232. features_opposing_wick_pressure:
    0.3667
  233. features_volatility_percentile:
    0.06
  234. features_volatility_delta:
    -0.2506
  235. features_body_ratio:
    0.3858
  236. features_closes_position_ratio:
    0.4012
  237. features_slope_consistency:
    0.9212
  238. features_range_position:
    0.5402
  239. features_distance_to_recent_high:
    -6.924
  240. features_distance_to_recent_low:
    8.1354
  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 (3)

# Heure Entry Δ
1 21:39 2.28830000 0%
2 21:50 2.28440000 -0.17%
3 21:58 2.28440000 -0.17%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 81%

Trend

Trend Strength
-0.093
Persistence
0.500
High Δ ATR
0.280
Low Δ ATR
-0.626

Current Swing

Amp ATR
3.092
Speed
0.618
Efficiency
0.448

Structure

Retracement
1.098
Extension
1.406
Compression
0.911
Entropy
1.000
Breakout Str.
-1.358
Dist High ATR
-1.637
Dist Low ATR
1.498
27 pivots · 26 swings · Last pivot: ↑ 2.3649 @ bar 148

Trend Analyzer 1H

1H ↓ down down_range_balanced
Confidence 46%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk approaching_support
htf unknown
Scores
Direction Score 0.397
Strength Score 0.520
Quality Score 0.331
Cleanliness Score 0.224
Structural Quality 0.418
Pullback Score 1.000
Exhaustion Score 0.260
Continuation Score 0.456
Structure Score 0.569
Volatility Expansion 0.856
Momentum Type Score 0.494
Risk Score 0.144
Features
Ema20 Slope
0.043
Ema50 Slope
-0.011
Ema Alignment Score
0.000
Price Vs Ema20
-0.226
Price Vs Ema50
-0.830
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.552
Trend Efficiency
0.448
Impulse Strength
3.136
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.098
Pullback Depth Atr
3.443
Extension From Mean
-0.830
Impulse Decay Score
0.297
Opposing Wick Pressure
0.273
Volatility Percentile
0.760
Volatility Delta
0.330
Body Ratio
0.514
Closes Position Ratio
0.492
Slope Consistency
0.000
Range Position
0.144
Distance To Recent High
-8.431
Distance To Recent Low
1.413
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Trend Analyzer 4H

1H ↔ neutral neutral_range_grind
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.423
Strength Score 0.472
Quality Score 0.307
Cleanliness Score 0.207
Structural Quality 0.389
Pullback Score 0.779
Exhaustion Score 0.282
Continuation Score 0.460
Structure Score 0.423
Volatility Expansion 0.069
Momentum Type Score 0.520
Risk Score 0.540
Features
Ema20 Slope
-0.080
Ema50 Slope
-0.020
Ema Alignment Score
0.333
Price Vs Ema20
-0.667
Price Vs Ema50
-0.504
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
-1.000
Bars Since Last Bos
21.000
Candle Overlap Ratio
1.000
Wick Ratio
0.586
Trend Efficiency
0.346
Impulse Strength
3.535
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.779
Pullback Depth Atr
2.753
Extension From Mean
-0.504
Impulse Decay Score
0.367
Opposing Wick Pressure
0.367
Volatility Percentile
0.060
Volatility Delta
-0.251
Body Ratio
0.386
Closes Position Ratio
0.401
Slope Consistency
0.921
Range Position
0.540
Distance To Recent High
-6.924
Distance To Recent Low
8.135
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7141ms Confidence avant OB : 70%60%

Order Book Imbalance

OBI Top 5 0.176
avg 0.184 ± 0.004
OBI Top 10 0.176

Microstructure

Mid Price
2.2814
Micro Price
2.2813
Spread
0.0044%

📌 Time Data

Start at Closed at Duration
31 May 2026
21:39:53
31 May 2026
22:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.2883 2.369 2.0462 3 2.0246
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 2.2883
  • Stop Loss: 2.369
  • Take Profit: 2.0462

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.369 - 2.2883 = 0.0807

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.2883 - 2.0462 = 0.2421

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2421 / 0.0807 = 3

📌 Position Size

Amount Margin Quantity Leverage
226.8249 100 99.1238 2.27
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 0.0807

Taille de position = 8 / 0.0807 = 99.13

Taille de position USD = 99.13 x 2.2883 = 226.84

Donc, tu peux acheter 99.13 avec un stoploss a 2.369

Avec un position size USD de 226.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 99.13 x 0.0807 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 99.13 x 0.2421 = 24

Si Take Profit atteint, tu gagneras 24$

Résumé

  • Taille de position 99.13
  • Taille de position USD 226.84
  • Perte potentielle 8
  • Gain potentiel 24
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
10.58 % 24 $
SL % Target SL $ Target
3.53 % 8 $
PNL PNL %
-8 $ -3.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.6577 % 103.72 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.0462
            [entry_price] => 2.2883
            [stop_loss] => 2.37707
            [rr_ratio] => 2.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-01 02:55:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.0462
            [entry_price] => 2.2883
            [stop_loss] => 2.38514
            [rr_ratio] => 2.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-01 03:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.0462
            [entry_price] => 2.2883
            [stop_loss] => 2.39321
            [rr_ratio] => 2.31
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-01 03:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.0462
            [entry_price] => 2.2883
            [stop_loss] => 2.40935
            [rr_ratio] => 2
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-06-01 03:05:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0329
            [max_drawdown] => 0.1296
            [rr_ratio] => 0.25
            [high] => 2.41790000
            [low] => 2.25540000
            [mfe_pct] => 1.44
            [mae_pct] => 5.66
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2026-05-31T21:39:53-04:00
            [end_at] => 2026-05-31T23:39:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0329
            [max_drawdown] => 0.1296
            [rr_ratio] => 0.25
            [high] => 2.41790000
            [low] => 2.25540000
            [mfe_pct] => 1.44
            [mae_pct] => 5.66
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2026-05-31T21:39:53-04:00
            [end_at] => 2026-06-01T04:39:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.36490000
            [high_after] => 2.41790000
            [low_before] => 2.27390000
            [low_after] => 2.25540000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#58 / n/a OK
seuil : top 15 · score du 31/05/2026 21:00
Signal Confidence
60 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime