15 May 2026 at 03:34:14

Short Trade on SIREN (WedgePullback)

With 109.52 SIREN at 0.518$ per unit. Take profit: 0.2985 (42.33 %) & Stop Loss: 0.5907 (14.12 %)

Short WedgePullback on SIREN (15 May 2026 at 03:34:14 to 09:20:00 - 2 weeks )

With 109.5203 SIREN at 0.5176$ per unit.

Position size of 56.6888 $
Take profit at 0.2985 (42.33 %) and Stop Loss at 0.5907 (14.12 %)

That's a 3 RR Trade
Duration: 2 weeks

Results

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

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : bear_medium

rules_regime : range_medium

rules_regime_5m : range_low

tf_aligned : 1

15/05 03:01

BTC Correlation Coin Market Regime

4H_regime : bear_high_confirmed

1H_regime : bear_high

15m_regime : bear_high

Signal

WedgePullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.896
  3. reason: ascending_wedge_lh_anticipation
  4. stop_price: 0.5906558
  5. tp_price: 0.2984726
  6. atr:
  7. score: 0.896
  8. confidence_pre_ob: 0.896
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : impulse_down
  11. confidence : 1
  12. trend_strength : -0.2709
  13. trend_persistence : 0.5
  14. high_delta_atr : -13.3081
  15. low_delta_atr : -6.9353
  16. current_swing_amp_atr : 1.8192
  17. current_swing_speed : 0.10107
  18. current_swing_efficiency : 0.1251
  19. retracement_ratio : 0.1307
  20. extension_ratio : 0.2389
  21. compression_score : 1.1886
  22. swing_entropy : 1
  23. breakout_strength : -14.9355
  24. distance_to_last_high_atr : -1.6274
  25. distance_to_last_low_atr : 0.3734
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.58831
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : high
  41. momentum_type : fading
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.483
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2363
  49. scores_strength_score:
    0.4488
  50. scores_quality_score:
    0.315
  51. scores_cleanliness_score:
    0.2294
  52. scores_structural_quality:
    0.385
  53. scores_pullback_score:
    0.1307
  54. scores_exhaustion_score:
    0.7803
  55. scores_continuation_score:
    0.2354
  56. scores_structure_score:
    0.2876
  57. scores_volatility_expansion:
    0.168
  58. scores_momentum_type_score:
    0.4226
  59. scores_risk_score:
    0.046
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1869
  62. features_ema50_slope:
    -0.2831
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.8473
  65. features_price_vs_ema50:
    -6.8349
  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:
    22
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5412
  72. features_trend_efficiency:
    0.1251
  73. features_impulse_strength:
    7.2796
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.1307
  76. features_pullback_depth_atr:
    0.9514
  77. features_extension_from_mean:
    -6.8349
  78. features_impulse_decay_score:
    0.8806
  79. features_opposing_wick_pressure:
    0.3123
  80. features_volatility_percentile:
    0.28
  81. features_volatility_delta:
    -0.6618
  82. features_body_ratio:
    0.2593
  83. features_closes_position_ratio:
    0.5456
  84. features_slope_consistency:
    0.8955
  85. features_range_position:
    0.046
  86. features_distance_to_recent_high:
    -21.4674
  87. features_distance_to_recent_low:
    1.035
  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 : -0.1287
  99. obi_top10 : 0.1544
  100. micro_price : 0.51788563
  101. spread_pct : 0.083077
  102. mid_price : 0.517805
  103. bid_wall_price : 0.513
  104. bid_wall_size : 86570
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.52
  107. ask_wall_size : 38346
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.149
  111. obi_top5_std : 0.2249
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6972
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : compression
  121. ms_state_1h : impulse_down
  122. strategy_details
  123. wedge_4h_type: ascending_wedge
  124. wedge_4h_strength:
    0.478
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.478
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  129. wedge_4h_lower_line:
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  130. wedge_4h_breakout_bar:
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    (
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        [price] => 1.1338
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  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-04-12 04:00:00
        [price] => 0.85255
        [kind] => high
        [label] => 
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-04-14 12:00:00
        [price] => 0.60954
        [kind] => low
        [label] => 
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-04-16 20:00:00
        [price] => 2.24855
        [kind] => high
        [label] => 
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-04-17 04:00:00
        [price] => 0.26206
        [kind] => low
        [label] => LL
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-04-18 04:00:00
        [price] => 0.90206
        [kind] => high
        [label] => LH
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-04-22 20:00:00
        [price] => 0.60651
        [kind] => low
        [label] => HL
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-04-25 12:00:00
        [price] => 0.80728
        [kind] => high
        [label] => LH
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-04-27 00:00:00
        [price] => 0.53358
        [kind] => low
        [label] => LL
    )
    
  140. pivots_4h_8:
    Array
    (
        [time] => 2026-04-28 08:00:00
        [price] => 0.73896
        [kind] => high
        [label] => LH
    )
    
  141. pivots_4h_9:
    Array
    (
        [time] => 2026-04-30 08:00:00
        [price] => 0.63508
        [kind] => low
        [label] => HL
    )
    
  142. pivots_4h_10:
    Array
    (
        [time] => 2026-05-01 08:00:00
        [price] => 0.7632
        [kind] => high
        [label] => HH
    )
    
  143. pivots_4h_11:
    Array
    (
        [time] => 2026-05-02 16:00:00
        [price] => 0.67132
        [kind] => low
        [label] => HL
    )
    
  144. pivots_4h_12:
    Array
    (
        [time] => 2026-05-04 00:00:00
        [price] => 0.88153
        [kind] => high
        [label] => HH
    )
    
  145. pivots_4h_13:
    Array
    (
        [time] => 2026-05-05 00:00:00
        [price] => 0.71571
        [kind] => low
        [label] => HL
    )
    
  146. pivots_4h_14:
    Array
    (
        [time] => 2026-05-07 04:00:00
        [price] => 1.21604
        [kind] => high
        [label] => HH
    )
    
  147. pivots_4h_15:
    Array
    (
        [time] => 2026-05-07 16:00:00
        [price] => 0.89043
        [kind] => low
        [label] => HL
    )
    
  148. pivots_4h_16:
    Array
    (
        [time] => 2026-05-08 12:00:00
        [price] => 1.29588
        [kind] => high
        [label] => HH
    )
    
  149. pivots_4h_17:
    Array
    (
        [time] => 2026-05-08 16:00:00
        [price] => 1.07271
        [kind] => low
        [label] => HL
    )
    
  150. pivots_4h_18:
    Array
    (
        [time] => 2026-05-11 00:00:00
        [price] => 1.08118
        [kind] => low
        [label] => HL
    )
    
  151. pivots_4h_19:
    Array
    (
        [time] => 2026-05-13 12:00:00
        [price] => 1.2418
        [kind] => high
        [label] => LH
    )
    
  152. strategy_details
  153. pivots_1h_0:
    Array
    (
        [time] => 2026-05-09 18:00:00
        [price] => 1.3481
        [kind] => high
        [label] => LH
    )
    
  154. pivots_1h_1:
    Array
    (
        [time] => 2026-05-10 02:00:00
        [price] => 1.13238
        [kind] => low
        [label] => LL
    )
    
  155. pivots_1h_2:
    Array
    (
        [time] => 2026-05-10 03:00:00
        [price] => 1.26665
        [kind] => high
        [label] => LH
    )
    
  156. pivots_1h_3:
    Array
    (
        [time] => 2026-05-10 16:00:00
        [price] => 1.09618
        [kind] => low
        [label] => LL
    )
    
  157. pivots_1h_4:
    Array
    (
        [time] => 2026-05-10 21:00:00
        [price] => 1.179
        [kind] => high
        [label] => LH
    )
    
  158. pivots_1h_5:
    Array
    (
        [time] => 2026-05-11 02:00:00
        [price] => 1.08118
        [kind] => low
        [label] => LL
    )
    
  159. pivots_1h_6:
    Array
    (
        [time] => 2026-05-11 03:00:00
        [price] => 1.24913
        [kind] => high
        [label] => HH
    )
    
  160. pivots_1h_7:
    Array
    (
        [time] => 2026-05-11 06:00:00
        [price] => 1.11954
        [kind] => low
        [label] => HL
    )
    
  161. pivots_1h_8:
    Array
    (
        [time] => 2026-05-11 08:00:00
        [price] => 1.19218
        [kind] => high
        [label] => LH
    )
    
  162. pivots_1h_9:
    Array
    (
        [time] => 2026-05-11 17:00:00
        [price] => 1.12164
        [kind] => low
        [label] => HL
    )
    
  163. pivots_1h_10:
    Array
    (
        [time] => 2026-05-12 01:00:00
        [price] => 1.22341
        [kind] => high
        [label] => HH
    )
    
  164. pivots_1h_11:
    Array
    (
        [time] => 2026-05-12 02:00:00
        [price] => 1.17088
        [kind] => low
        [label] => HL
    )
    
  165. pivots_1h_12:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 1.15201
        [kind] => low
        [label] => LL
    )
    
  166. pivots_1h_13:
    Array
    (
        [time] => 2026-05-13 07:00:00
        [price] => 1.23567
        [kind] => high
        [label] => HH
    )
    
  167. pivots_1h_14:
    Array
    (
        [time] => 2026-05-13 08:00:00
        [price] => 1.18822
        [kind] => low
        [label] => HL
    )
    
  168. pivots_1h_15:
    Array
    (
        [time] => 2026-05-13 13:00:00
        [price] => 1.2418
        [kind] => high
        [label] => HH
    )
    
  169. pivots_1h_16:
    Array
    (
        [time] => 2026-05-13 16:00:00
        [price] => 0.80268
        [kind] => low
        [label] => LL
    )
    
  170. pivots_1h_17:
    Array
    (
        [time] => 2026-05-13 19:00:00
        [price] => 1.16645
        [kind] => high
        [label] => LH
    )
    
  171. pivots_1h_18:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.50139
        [kind] => low
        [label] => LL
    )
    
  172. pivots_1h_19:
    Array
    (
        [time] => 2026-05-14 23:00:00
        [price] => 0.58831
        [kind] => high
        [label] => LH
    )
    
  173. strategy_details
  174. levels_hl_price:
    0.50139
  175. levels_hl_timestamp: 2026-05-14 05:00:00
  176. levels_hh_price:
    0.58831
  177. levels_lh_price:
    0.58831
  178. levels_lh_timestamp: 2026-05-14 23:00:00
  179. levels_ll_price:
    0.50139
  180. ¸
  181. regimes
  182. 4H : bear_high_confirmed
  183. 1H : bear_high
  184. 15m : bear_high
  185. ¸
  186. trend_analyzer_4h
  187. direction : neutral
  188. phase : range
  189. structure : range
  190. breakout_state : none
  191. quality : volatile
  192. strength : moderate
  193. exhaustion : medium
  194. momentum_type : grind
  195. volatility_regime : expansion
  196. htf_context : unknown
  197. risk_state : approaching_support
  198. confidence : 0.29
  199. state : neutral_range_grind
  200. trend_analyzer_4h
  201. scores_direction_score:
    0.4607
  202. scores_strength_score:
    0.4043
  203. scores_quality_score:
    0.3093
  204. scores_cleanliness_score:
    0.1874
  205. scores_structural_quality:
    0.4091
  206. scores_pullback_score:
    0
  207. scores_exhaustion_score:
    0.4335
  208. scores_continuation_score:
    0.4293
  209. scores_structure_score:
    0.7544
  210. scores_volatility_expansion:
    0.712
  211. scores_momentum_type_score:
    0.4613
  212. scores_risk_score:
    0.039
  213. trend_analyzer_4h
  214. features_ema20_slope:
    -0.3614
  215. features_ema50_slope:
    -0.1681
  216. features_ema_alignment_score:
    0
  217. features_price_vs_ema20:
    -3.0443
  218. features_price_vs_ema50:
    -4.0646
  219. features_recent_hh_hl_score:
    0.6471
  220. features_recent_lh_ll_score:
    0.3529
  221. features_last_bos_direction:
    1
  222. features_bars_since_last_bos:
    39
  223. features_candle_overlap_ratio:
    1
  224. features_wick_ratio:
    0.6253
  225. features_trend_efficiency:
    0.1973
  226. features_impulse_strength:
    2.6383
  227. features_directional_candle_ratio:
    0.6
  228. features_pullback_depth_ratio:
    0
  229. features_pullback_depth_atr:
    0
  230. features_extension_from_mean:
    -4.0646
  231. features_impulse_decay_score:
    0
  232. features_opposing_wick_pressure:
    0.3338
  233. features_volatility_percentile:
    0.52
  234. features_volatility_delta:
    0.3744
  235. features_body_ratio:
    0.4386
  236. features_closes_position_ratio:
    0.4554
  237. features_slope_consistency:
    0.6375
  238. features_range_position:
    0.039
  239. features_distance_to_recent_high:
    -8.2119
  240. features_distance_to_recent_low:
    0.3336
  241. features_had_recent_range:
    1
  242. features_had_recent_compression:
    0
  243. features_post_break_hl_count:
    2
  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_down
Confidence 100%

Trend

Trend Strength
-0.271
Persistence
0.500
High Δ ATR
-13.308
Low Δ ATR
-6.935

Current Swing

Amp ATR
1.819
Speed
0.101
Efficiency
0.125

Structure

Retracement
0.131
Extension
0.239
Compression
1.189
Entropy
1.000
Breakout Str.
-14.936
Dist High ATR
-1.627
Dist Low ATR
0.373
25 pivots · 24 swings · Last pivot: ↑ 0.5883 @ bar 145

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 48%

Context

phase transition
structure bearish_transition
breakout none
quality volatile
strength moderate
exhaustion high
momentum fading
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.236
Strength Score 0.449
Quality Score 0.315
Cleanliness Score 0.229
Structural Quality 0.385
Pullback Score 0.131
Exhaustion Score 0.780
Continuation Score 0.235
Structure Score 0.288
Volatility Expansion 0.168
Momentum Type Score 0.423
Risk Score 0.046
Features
Ema20 Slope
-0.187
Ema50 Slope
-0.283
Ema Alignment Score
0.000
Price Vs Ema20
-1.847
Price Vs Ema50
-6.835
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
22.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.125
Impulse Strength
7.280
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.131
Pullback Depth Atr
0.951
Extension From Mean
-6.835
Impulse Decay Score
0.881
Opposing Wick Pressure
0.312
Volatility Percentile
0.280
Volatility Delta
-0.662
Body Ratio
0.259
Closes Position Ratio
0.546
Slope Consistency
0.896
Range Position
0.046
Distance To Recent High
-21.467
Distance To Recent Low
1.035
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 29%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility expansion
risk approaching_support
htf unknown
Scores
Direction Score 0.461
Strength Score 0.404
Quality Score 0.309
Cleanliness Score 0.187
Structural Quality 0.409
Pullback Score 0.000
Exhaustion Score 0.434
Continuation Score 0.429
Structure Score 0.754
Volatility Expansion 0.712
Momentum Type Score 0.461
Risk Score 0.039
Features
Ema20 Slope
-0.361
Ema50 Slope
-0.168
Ema Alignment Score
0.000
Price Vs Ema20
-3.044
Price Vs Ema50
-4.065
Recent Hh Hl Score
0.647
Recent Lh Ll Score
0.353
Last Bos Direction
1.000
Bars Since Last Bos
39.000
Candle Overlap Ratio
1.000
Wick Ratio
0.625
Trend Efficiency
0.197
Impulse Strength
2.638
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.000
Pullback Depth Atr
0.000
Extension From Mean
-4.065
Impulse Decay Score
0.000
Opposing Wick Pressure
0.334
Volatility Percentile
0.520
Volatility Delta
0.374
Body Ratio
0.439
Closes Position Ratio
0.455
Slope Consistency
0.638
Range Position
0.039
Distance To Recent High
-8.212
Distance To Recent Low
0.334
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
2.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6972ms Confidence avant OB : 90%90%

Order Book Imbalance

OBI Top 5 -0.129
avg 0.149 ± 0.225
OBI Top 10 0.154

Microstructure

Mid Price
0.5178
Micro Price
0.5179
Spread
0.0831%

↑ Bid Wall (Support)

Price
0.5130
Size
86,570.00

↓ Ask Wall (Resistance)

Price
0.5200
Size
38,346.00

📌 Time Data

Start at Closed at Duration
15 May 2026
03:34:14
01 Jun 2026
09:20:00
2 weeks

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5176 0.5907 0.2985 3 0.4902
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 0.5176
  • Stop Loss: 0.5907
  • Take Profit: 0.2985

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5907 - 0.5176 = 0.0731

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5176 - 0.2985 = 0.2191

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2191 / 0.0731 = 2.9973

📌 Position Size

Amount Margin Quantity Leverage
56.6888 56.6888 109.5203 1.00
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 0.0731

Taille de position = 8 / 0.0731 = 109.44

Taille de position USD = 109.44 x 0.5176 = 56.65

Donc, tu peux acheter 109.44 avec un stoploss a 0.5907

Avec un position size USD de 56.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 109.44 x 0.0731 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 109.44 x 0.2191 = 23.98

Si Take Profit atteint, tu gagneras 23.98$

Résumé

  • Taille de position 109.44
  • Taille de position USD 56.65
  • Perte potentielle 8
  • Gain potentiel 23.98
  • Risk-Reward Ratio 2.9973

📌 Peformances

TP % Target TP $ Target
42.33 % 24 $
SL % Target SL $ Target
14.12 % 8.01 $
PNL PNL %
-8.01 $ -14.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-14.772 % 104.6 % 87

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)

V2 Shadow Analysis

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

Quality Rank
#80 / n/a OK
seuil : top 15 · score du 15/05/2026 03:00
Signal Confidence
90 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime