22 May 2026 at 11:36:00

Long Trade on TRUMP (WedgePullback)

With 181.55 TRUMP at 2.109$ per unit. Take profit: 2.2412 (6.27 %) & Stop Loss: 2.0649 (2.09 %)

Long WedgePullback on TRUMP (22 May 2026 at 11:36:00 to 14:35:00 - 2 hours )

With 181.5507 TRUMP at 2.109$ per unit.

Position size of 382.8904 $
Take profit at 2.2412 (6.27 %) and Stop Loss at 2.0649 (2.09 %)

That's a 3 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 6.65
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_confirmed

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : bear_medium

tf_aligned :

22/05 11:01

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : bull_high

15m_regime : bull_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate fading normal bear_high
68%
22/05 08:00
1h ↑ up early_expansion bullish_transition moderate grind expansion_after_compression range_high
52%
22/05 10:00
15m ↔ neutral transition bullish_transition moderate grind expansion range_medium
44%
22/05 10:45
5m ↓ down range range moderate grind normal range_low
46%
22/05 11:05

Signal

WedgePullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.748
  3. reason: descending_wedge_hl_anticipation
  4. stop_price: 2.06493517
  5. tp_price: 2.24119448
  6. atr:
  7. score: 0.748
  8. confidence_pre_ob: 0.748
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : pullback_up
  11. confidence : 0.764
  12. trend_strength : 0.1627
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.1343
  15. low_delta_atr : 0.5976
  16. current_swing_amp_atr : 3.6284
  17. current_swing_speed : 0.60473
  18. current_swing_efficiency : 0.4475
  19. retracement_ratio : 2.6129
  20. extension_ratio : 1.8
  21. compression_score : 0.6495
  22. swing_entropy : 1
  23. breakout_strength : 0.4269
  24. distance_to_last_high_atr : -1.7074
  25. distance_to_last_low_atr : 1.7501
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    2.148
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.593
  46. state : up_early_expansion_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7037
  49. scores_strength_score:
    0.5215
  50. scores_quality_score:
    0.3331
  51. scores_cleanliness_score:
    0.2707
  52. scores_structural_quality:
    0.3842
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2211
  55. scores_continuation_score:
    0.5901
  56. scores_structure_score:
    0.6335
  57. scores_volatility_expansion:
    0.7818
  58. scores_momentum_type_score:
    0.6372
  59. scores_risk_score:
    0.68
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0952
  62. features_ema50_slope:
    0.0657
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.621
  65. features_price_vs_ema50:
    1.3478
  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:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4586
  72. features_trend_efficiency:
    0.4475
  73. features_impulse_strength:
    3.6284
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    2.6129
  76. features_pullback_depth_atr:
    4.0407
  77. features_extension_from_mean:
    1.3478
  78. features_impulse_decay_score:
    0.1
  79. features_opposing_wick_pressure:
    0.2526
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.0087
  82. features_body_ratio:
    0.5482
  83. features_closes_position_ratio:
    0.487
  84. features_slope_consistency:
    0.8693
  85. features_range_position:
    0.68
  86. features_distance_to_recent_high:
    -2.5243
  87. features_distance_to_recent_low:
    5.3641
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.0329
  99. obi_top10 : 0.0892
  100. micro_price : 2.1069829
  101. spread_pct : 0.047483
  102. mid_price : 2.1065
  103. bid_wall_price : 2.1
  104. bid_wall_size : 487694.76
  105. bid_wall_dist_atr :
  106. ask_wall_price : 2.12
  107. ask_wall_size : 401991.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0292
  111. obi_top5_std : 0.0022
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7139
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : compression
  121. ms_state_1h : pullback_up
  122. strategy_details
  123. wedge_4h_type: descending_wedge
  124. wedge_4h_strength:
    0.24
  125. wedge_4h_bias: bullish_breakout
  126. wedge_4h_breakout_type: descending_wedge
  127. wedge_4h_breakout_strength:
    0.24
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            )
    
        [61] => Array
            (
                [time] => 1779292800
                [value] => 1.91324291
            )
    
        [62] => Array
            (
                [time] => 1779307200
                [value] => 1.90507452
            )
    
        [63] => Array
            (
                [time] => 1779321600
                [value] => 1.89690613
            )
    
        [64] => Array
            (
                [time] => 1779336000
                [value] => 1.88873774
            )
    
        [65] => Array
            (
                [time] => 1779350400
                [value] => 1.88056934
            )
    
        [66] => Array
            (
                [time] => 1779364800
                [value] => 1.87240095
            )
    
        [67] => Array
            (
                [time] => 1779379200
                [value] => 1.86423256
            )
    
        [68] => Array
            (
                [time] => 1779393600
                [value] => 1.85606417
            )
    
        [69] => Array
            (
                [time] => 1779408000
                [value] => 1.84789577
            )
    
        [70] => Array
            (
                [time] => 1779422400
                [value] => 1.83972738
            )
    
        [71] => Array
            (
                [time] => 1779436800
                [value] => 1.83155899
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1779278400
        [price] => 2.047
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-04-26 04:00:00
        [price] => 2.704
        [kind] => high
        [label] => LH
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-04-29 12:00:00
        [price] => 2.292
        [kind] => low
        [label] => LL
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-04-30 20:00:00
        [price] => 2.403
        [kind] => high
        [label] => LH
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-01 04:00:00
        [price] => 2.237
        [kind] => low
        [label] => LL
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-01 08:00:00
        [price] => 2.351
        [kind] => high
        [label] => LH
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-02 00:00:00
        [price] => 2.24
        [kind] => low
        [label] => HL
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-02 16:00:00
        [price] => 2.379
        [kind] => high
        [label] => HH
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-04 04:00:00
        [price] => 2.285
        [kind] => low
        [label] => HL
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-05 04:00:00
        [price] => 2.463
        [kind] => high
        [label] => HH
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-05-05 08:00:00
        [price] => 2.339
        [kind] => low
        [label] => HL
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-06 04:00:00
        [price] => 2.455
        [kind] => high
        [label] => LH
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-06 20:00:00
        [price] => 2.314
        [kind] => low
        [label] => LL
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-10 12:00:00
        [price] => 2.555
        [kind] => high
        [label] => HH
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 2.294
        [kind] => low
        [label] => LL
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-12 16:00:00
        [price] => 2.583
        [kind] => high
        [label] => HH
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-13 08:00:00
        [price] => 2.322
        [kind] => low
        [label] => HL
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-14 16:00:00
        [price] => 2.445
        [kind] => high
        [label] => LH
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-17 16:00:00
        [price] => 1.988
        [kind] => low
        [label] => LL
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 2.105
        [kind] => high
        [label] => LH
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-20 08:00:00
        [price] => 1.972
        [kind] => low
        [label] => LL
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 1.988
        [kind] => low
        [label] => LL
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 23:00:00
        [price] => 2.105
        [kind] => high
        [label] => LH
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 2.037
        [kind] => low
        [label] => HL
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 2.088
        [kind] => high
        [label] => LH
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 2.013
        [kind] => low
        [label] => LL
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 2.052
        [kind] => high
        [label] => LH
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 2.008
        [kind] => low
        [label] => HL
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 2.092
        [kind] => high
        [label] => HH
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-19 23:00:00
        [price] => 2.003
        [kind] => low
        [label] => LL
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-20 03:00:00
        [price] => 2.046
        [kind] => high
        [label] => LH
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-20 09:00:00
        [price] => 1.972
        [kind] => low
        [label] => LL
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-20 13:00:00
        [price] => 2.064
        [kind] => high
        [label] => HH
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-20 19:00:00
        [price] => 2.019
        [kind] => low
        [label] => HL
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-21 01:00:00
        [price] => 2.066
        [kind] => high
        [label] => LH
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-21 06:00:00
        [price] => 2.006
        [kind] => low
        [label] => LL
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-21 14:00:00
        [price] => 2.121
        [kind] => high
        [label] => HH
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-21 20:00:00
        [price] => 2.053
        [kind] => low
        [label] => HL
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-22 00:00:00
        [price] => 2.098
        [kind] => high
        [label] => LH
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-22 03:00:00
        [price] => 2.067
        [kind] => low
        [label] => HL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-05-22 09:00:00
        [price] => 2.148
        [kind] => high
        [label] => HH
    )
    
  173. strategy_details
  174. levels_hl_price:
    2.067
  175. levels_hl_timestamp: 2026-05-22 03:00:00
  176. levels_hh_price:
    2.148
  177. levels_lh_price:
    2.148
  178. levels_lh_timestamp: 2026-05-22 09:00:00
  179. levels_ll_price:
    2.067
  180. ¸
  181. regimes
  182. 4H : bear_high
  183. 1H : bull_high
  184. 15m : bull_medium
  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 : fading
  195. volatility_regime : normal
  196. htf_context : unknown
  197. risk_state : discount
  198. confidence : 0.315
  199. state : down_range_fading
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.3588
  202. scores_strength_score:
    0.4951
  203. scores_quality_score:
    0.3032
  204. scores_cleanliness_score:
    0.2185
  205. scores_structural_quality:
    0.3725
  206. scores_pullback_score:
    1
  207. scores_exhaustion_score:
    0.4683
  208. scores_continuation_score:
    0.378
  209. scores_structure_score:
    0.2908
  210. scores_volatility_expansion:
    0.3977
  211. scores_momentum_type_score:
    0.3836
  212. scores_risk_score:
    0.2226
  213. trend_analyzer_4h
  214. features_ema20_slope:
    0.0556
  215. features_ema50_slope:
    -0.0412
  216. features_ema_alignment_score:
    0.3333
  217. features_price_vs_ema20:
    0.6935
  218. features_price_vs_ema50:
    -0.6422
  219. features_recent_hh_hl_score:
    0.4
  220. features_recent_lh_ll_score:
    0.6
  221. features_last_bos_direction:
    -1
  222. features_bars_since_last_bos:
    12
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.563
  225. features_trend_efficiency:
    0.1892
  226. features_impulse_strength:
    8.4154
  227. features_directional_candle_ratio:
    0.6
  228. features_pullback_depth_ratio:
    1.1368
  229. features_pullback_depth_atr:
    2.4763
  230. features_extension_from_mean:
    -0.6422
  231. features_impulse_decay_score:
    0.8545
  232. features_opposing_wick_pressure:
    0.2812
  233. features_volatility_percentile:
    0.36
  234. features_volatility_delta:
    -0.0275
  235. features_body_ratio:
    0.4613
  236. features_closes_position_ratio:
    0.5008
  237. features_slope_consistency:
    0
  238. features_range_position:
    0.2226
  239. features_distance_to_recent_high:
    -10.3922
  240. features_distance_to_recent_low:
    2.9754
  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 (3)

# Heure Entry Δ
1 11:35 2.10900000 0%
2 12:56 2.10400000 -0.237%
3 13:04 2.11000000 +0.047%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 76%

Trend

Trend Strength
0.163
Persistence
0.500
High Δ ATR
2.134
Low Δ ATR
0.598

Current Swing

Amp ATR
3.628
Speed
0.605
Efficiency
0.448

Structure

Retracement
2.613
Extension
1.800
Compression
0.650
Entropy
1.000
Breakout Str.
0.427
Dist High ATR
-1.707
Dist Low ATR
1.750
25 pivots · 24 swings · Last pivot: ↑ 2.1480 @ bar 147

Trend Analyzer 1H

1H ↑ up up_early_expansion_grind
Confidence 59%

Context

phase early_expansion
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.704
Strength Score 0.522
Quality Score 0.333
Cleanliness Score 0.271
Structural Quality 0.384
Pullback Score 1.000
Exhaustion Score 0.221
Continuation Score 0.590
Structure Score 0.634
Volatility Expansion 0.782
Momentum Type Score 0.637
Risk Score 0.680
Features
Ema20 Slope
0.095
Ema50 Slope
0.066
Ema Alignment Score
1.000
Price Vs Ema20
0.621
Price Vs Ema50
1.348
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.459
Trend Efficiency
0.448
Impulse Strength
3.628
Directional Candle Ratio
0.500
Pullback Depth Ratio
2.613
Pullback Depth Atr
4.041
Extension From Mean
1.348
Impulse Decay Score
0.100
Opposing Wick Pressure
0.253
Volatility Percentile
0.960
Volatility Delta
0.009
Body Ratio
0.548
Closes Position Ratio
0.487
Slope Consistency
0.869
Range Position
0.680
Distance To Recent High
-2.524
Distance To Recent Low
5.364
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Trend Analyzer 4H

1H ↓ down down_range_fading
Confidence 32%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum fading
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.359
Strength Score 0.495
Quality Score 0.303
Cleanliness Score 0.219
Structural Quality 0.373
Pullback Score 1.000
Exhaustion Score 0.468
Continuation Score 0.378
Structure Score 0.291
Volatility Expansion 0.398
Momentum Type Score 0.384
Risk Score 0.223
Features
Ema20 Slope
0.056
Ema50 Slope
-0.041
Ema Alignment Score
0.333
Price Vs Ema20
0.694
Price Vs Ema50
-0.642
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.563
Trend Efficiency
0.189
Impulse Strength
8.415
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.137
Pullback Depth Atr
2.476
Extension From Mean
-0.642
Impulse Decay Score
0.855
Opposing Wick Pressure
0.281
Volatility Percentile
0.360
Volatility Delta
-0.028
Body Ratio
0.461
Closes Position Ratio
0.501
Slope Consistency
0.000
Range Position
0.223
Distance To Recent High
-10.392
Distance To Recent Low
2.975
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7139ms Confidence avant OB : 75%75%

Order Book Imbalance

OBI Top 5 -0.033
avg -0.029 ± 0.002
OBI Top 10 0.089

Microstructure

Mid Price
2.1065
Micro Price
2.1070
Spread
0.0475%

↑ Bid Wall (Support)

Price
2.1000
Size
487,694.76

↓ Ask Wall (Resistance)

Price
2.1200
Size
401,991.60

📌 Time Data

Start at Closed at Duration
22 May 2026
11:36:00
22 May 2026
14:35:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.109 2.0649 2.2412 3 1.841
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 2.109
  • Stop Loss: 2.0649
  • Take Profit: 2.2412

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0649 - 2.109 = -0.0441

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.109 - 2.2412 = -0.1322

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1322 / -0.0441 = 2.9977

📌 Position Size

Amount Margin Quantity Leverage
382.8904 100 181.5507 3.83
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 -0.0441

Taille de position = 8 / -0.0441 = -181.41

Taille de position USD = -181.41 x 2.109 = -382.59

Donc, tu peux acheter -181.41 avec un stoploss a 2.0649

Avec un position size USD de -382.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -181.41 x -0.0441 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -181.41 x -0.1322 = 23.98

Si Take Profit atteint, tu gagneras 23.98$

Résumé

  • Taille de position -181.41
  • Taille de position USD -382.59
  • Perte potentielle 8
  • Gain potentiel 23.98
  • Risk-Reward Ratio 2.9977

📌 Peformances

TP % Target TP $ Target
6.27 % 24 $
SL % Target SL $ Target
2.09 % 8.01 $
PNL PNL %
-8.01 $ -2.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1811 % 104.31 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2412
            [entry_price] => 2.109
            [stop_loss] => 2.06049
            [rr_ratio] => 2.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-22 18:45:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2412
            [entry_price] => 2.109
            [stop_loss] => 2.05608
            [rr_ratio] => 2.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-22 18:45:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2412
            [entry_price] => 2.109
            [stop_loss] => 2.05167
            [rr_ratio] => 2.31
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-22 18:45:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2412
            [entry_price] => 2.109
            [stop_loss] => 2.04285
            [rr_ratio] => 2
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-22 18:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.0070000000000001
            [rr_ratio] => 5.57
            [high] => 2.14800000
            [low] => 2.10200000
            [mfe_pct] => 1.85
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 5.57
            [candles_analyzed] => 24
            [start_at] => 2026-05-22T11:36:00-04:00
            [end_at] => 2026-05-22T13:36:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.036
            [rr_ratio] => 1.08
            [high] => 2.14800000
            [low] => 2.07300000
            [mfe_pct] => 1.85
            [mae_pct] => 1.71
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 84
            [start_at] => 2026-05-22T11:36:00-04:00
            [end_at] => 2026-05-22T18:36:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.11700000
            [high_after] => 2.14800000
            [low_before] => 2.08600000
            [low_after] => 2.08400000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#27 / n/a OUT
seuil : top 15 · score du 22/05/2026 11:00
Signal Confidence
75 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime