16 May 2026 at 15:21:07

Short Trade on BILL (WedgePullback)

With 591.17 BILL at 0.148$ per unit. Take profit: 0.1071 (27.49 %) & Stop Loss: 0.1612 (9.14 %)

Short WedgePullback on BILL (16 May 2026 at 15:21:07 to 14:50:00 - 23 hours )

With 591.1698 BILL at 0.1477$ per unit.

Position size of 87.2981 $
Take profit at 0.1071 (27.49 %) and Stop Loss at 0.1612 (9.14 %)

That's a 3.01 RR Trade
Duration: 23 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.28
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 : range_low

Score : 2

ml_regime : bear_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

16/05 15:02

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : bear_high

15m_regime : bear_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
45%
16/05 12:00
1h ↓ down transition bearish_transition strong grind compression bear_high
65%
16/05 14:00
15m ↓ down range range moderate grind compression bear_high
70%
16/05 14:15
5m ↑ up transition bullish_transition moderate grind compression bull_high
76%
16/05 14:50

Signal

WedgePullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.813
  3. reason: ascending_wedge_lh_anticipation
  4. stop_price: 0.16120249
  5. tp_price: 0.10707253
  6. atr:
  7. score: 0.813
  8. confidence_pre_ob: 0.813
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 : -0.2838
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.5788
  15. low_delta_atr : -2.8921
  16. current_swing_amp_atr : 1.5952
  17. current_swing_speed : 0.79761
  18. current_swing_efficiency : 0.6045
  19. retracement_ratio : 0.4287
  20. extension_ratio : 1.1932
  21. compression_score : 0.5608
  22. swing_entropy : 1
  23. breakout_strength : -3.9656
  24. distance_to_last_high_atr : -1.3868
  25. distance_to_last_low_atr : 0.5484
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.16064
  31. last_pivot_index:
    142
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.608
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2744
  49. scores_strength_score:
    0.6627
  50. scores_quality_score:
    0.3614
  51. scores_cleanliness_score:
    0.19
  52. scores_structural_quality:
    0.5017
  53. scores_pullback_score:
    0.4287
  54. scores_exhaustion_score:
    0.4797
  55. scores_continuation_score:
    0.5658
  56. scores_structure_score:
    0.3653
  57. scores_volatility_expansion:
    0.1337
  58. scores_momentum_type_score:
    0.6019
  59. scores_risk_score:
    0.1233
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1868
  62. features_ema50_slope:
    -0.1448
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.1661
  65. features_price_vs_ema50:
    -2.9744
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6199
  72. features_trend_efficiency:
    0.6045
  73. features_impulse_strength:
    3.6414
  74. features_directional_candle_ratio:
    0.7
  75. features_pullback_depth_ratio:
    0.4287
  76. features_pullback_depth_atr:
    1.5611
  77. features_extension_from_mean:
    -2.9744
  78. features_impulse_decay_score:
    0.4034
  79. features_opposing_wick_pressure:
    0.2325
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.0994
  82. features_body_ratio:
    0.3839
  83. features_closes_position_ratio:
    0.3484
  84. features_slope_consistency:
    0.9551
  85. features_range_position:
    0.1233
  86. features_distance_to_recent_high:
    -10.7234
  87. features_distance_to_recent_low:
    1.5081
  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 : 0.1249
  99. obi_top10 : 0.1249
  100. micro_price : 0.1473729
  101. spread_pct : 0.061096
  102. mid_price : 0.147355
  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 : 0.1256
  111. obi_top5_std : 0.0099
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7149
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : range
  121. ms_state_1h : impulse_down
  122. strategy_details
  123. wedge_4h_type: ascending_wedge
  124. wedge_4h_strength:
    0.066
  125. wedge_4h_bias: bearish_breakout
  126. wedge_4h_breakout_type: ascending_wedge
  127. wedge_4h_breakout_strength:
    0.066
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        [53] => Array
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    )
    
  129. wedge_4h_lower_line:
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        [2] => Array
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        [3] => Array
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        [5] => Array
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        [6] => Array
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        [7] => Array
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        [9] => Array
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        [10] => Array
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        [11] => Array
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  130. wedge_4h_breakout_bar:
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    (
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  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-05-07 12:00:00
        [price] => 0.08913
        [kind] => high
        [label] => 
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  133. pivots_4h_1:
    Array
    (
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        [kind] => low
        [label] => 
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  134. pivots_4h_2:
    Array
    (
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        [kind] => high
        [label] => 
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  135. pivots_4h_3:
    Array
    (
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  136. pivots_4h_4:
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    (
        [time] => 2026-05-12 16:00:00
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        [kind] => high
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  137. pivots_4h_5:
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    (
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  138. pivots_4h_6:
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    (
        [time] => 2026-05-13 04:00:00
        [price] => 0.22669
        [kind] => high
        [label] => HH
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  139. pivots_4h_7:
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    (
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        [price] => 0.16037
        [kind] => low
        [label] => LL
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  140. pivots_4h_8:
    Array
    (
        [time] => 2026-05-15 04:00:00
        [price] => 0.23742
        [kind] => high
        [label] => HH
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  141. strategy_details
  142. pivots_1h_0:
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    (
        [time] => 2026-05-11 13:00:00
        [price] => 0.1321
        [kind] => low
        [label] => HL
    )
    
  143. pivots_1h_1:
    Array
    (
        [time] => 2026-05-11 15:00:00
        [price] => 0.15485
        [kind] => high
        [label] => HH
    )
    
  144. pivots_1h_2:
    Array
    (
        [time] => 2026-05-11 22:00:00
        [price] => 0.1349
        [kind] => low
        [label] => HL
    )
    
  145. pivots_1h_3:
    Array
    (
        [time] => 2026-05-12 01:00:00
        [price] => 0.16237
        [kind] => high
        [label] => HH
    )
    
  146. pivots_1h_4:
    Array
    (
        [time] => 2026-05-12 03:00:00
        [price] => 0.13722
        [kind] => low
        [label] => HL
    )
    
  147. pivots_1h_5:
    Array
    (
        [time] => 2026-05-12 18:00:00
        [price] => 0.20381
        [kind] => high
        [label] => HH
    )
    
  148. pivots_1h_6:
    Array
    (
        [time] => 2026-05-12 22:00:00
        [price] => 0.17534
        [kind] => low
        [label] => HL
    )
    
  149. pivots_1h_7:
    Array
    (
        [time] => 2026-05-13 00:00:00
        [price] => 0.19441
        [kind] => high
        [label] => LH
    )
    
  150. pivots_1h_8:
    Array
    (
        [time] => 2026-05-13 03:00:00
        [price] => 0.16589
        [kind] => low
        [label] => LL
    )
    
  151. pivots_1h_9:
    Array
    (
        [time] => 2026-05-13 06:00:00
        [price] => 0.22669
        [kind] => high
        [label] => HH
    )
    
  152. pivots_1h_10:
    Array
    (
        [time] => 2026-05-13 12:00:00
        [price] => 0.16761
        [kind] => low
        [label] => HL
    )
    
  153. pivots_1h_11:
    Array
    (
        [time] => 2026-05-13 22:00:00
        [price] => 0.19998
        [kind] => high
        [label] => LH
    )
    
  154. pivots_1h_12:
    Array
    (
        [time] => 2026-05-14 04:00:00
        [price] => 0.16037
        [kind] => low
        [label] => LL
    )
    
  155. pivots_1h_13:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.21616
        [kind] => high
        [label] => HH
    )
    
  156. pivots_1h_14:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 0.19669
        [kind] => low
        [label] => HL
    )
    
  157. pivots_1h_15:
    Array
    (
        [time] => 2026-05-15 04:00:00
        [price] => 0.23742
        [kind] => high
        [label] => HH
    )
    
  158. pivots_1h_16:
    Array
    (
        [time] => 2026-05-15 21:00:00
        [price] => 0.16968
        [kind] => low
        [label] => LL
    )
    
  159. pivots_1h_17:
    Array
    (
        [time] => 2026-05-15 22:00:00
        [price] => 0.185
        [kind] => high
        [label] => LH
    )
    
  160. pivots_1h_18:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 0.14236
        [kind] => low
        [label] => LL
    )
    
  161. pivots_1h_19:
    Array
    (
        [time] => 2026-05-16 08:00:00
        [price] => 0.16064
        [kind] => high
        [label] => LH
    )
    
  162. strategy_details
  163. levels_hl_price:
    0.14236
  164. levels_hl_timestamp: 2026-05-16 06:00:00
  165. levels_hh_price:
    0.16064
  166. levels_lh_price:
    0.16064
  167. levels_lh_timestamp: 2026-05-16 08:00:00
  168. levels_ll_price:
    0.14236
  169. ¸
  170. regimes
  171. 4H : bear_high
  172. 1H : bear_high
  173. 15m : bear_high
  174. ¸
  175. trend_analyzer_4h
  176. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 100%

Trend

Trend Strength
-0.284
Persistence
0.500
High Δ ATR
-2.579
Low Δ ATR
-2.892

Current Swing

Amp ATR
1.595
Speed
0.798
Efficiency
0.605

Structure

Retracement
0.429
Extension
1.193
Compression
0.561
Entropy
1.000
Breakout Str.
-3.966
Dist High ATR
-1.387
Dist Low ATR
0.548
27 pivots · 26 swings · Last pivot: ↑ 0.1606 @ bar 142

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 61%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength strong
exhaustion medium
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.274
Strength Score 0.663
Quality Score 0.361
Cleanliness Score 0.190
Structural Quality 0.502
Pullback Score 0.429
Exhaustion Score 0.480
Continuation Score 0.566
Structure Score 0.365
Volatility Expansion 0.134
Momentum Type Score 0.602
Risk Score 0.123
Features
Ema20 Slope
-0.187
Ema50 Slope
-0.145
Ema Alignment Score
0.000
Price Vs Ema20
-1.166
Price Vs Ema50
-2.974
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
-1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.620
Trend Efficiency
0.605
Impulse Strength
3.641
Directional Candle Ratio
0.700
Pullback Depth Ratio
0.429
Pullback Depth Atr
1.561
Extension From Mean
-2.974
Impulse Decay Score
0.403
Opposing Wick Pressure
0.233
Volatility Percentile
0.000
Volatility Delta
-0.099
Body Ratio
0.384
Closes Position Ratio
0.348
Slope Consistency
0.955
Range Position
0.123
Distance To Recent High
-10.723
Distance To Recent Low
1.508
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7149ms Confidence avant OB : 81%81%

Order Book Imbalance

OBI Top 5 0.125
avg 0.126 ± 0.010
OBI Top 10 0.125

Microstructure

Mid Price
0.1474
Micro Price
0.1474
Spread
0.0611%

📌 Time Data

Start at Closed at Duration
16 May 2026
15:21:07
17 May 2026
14:50:00
23 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1477 0.1612 0.1071 3.01 0.0721
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 0.1477
  • Stop Loss: 0.1612
  • Take Profit: 0.1071

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1612 - 0.1477 = 0.0135

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1477 - 0.1071 = 0.0406

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0406 / 0.0135 = 3.0074

📌 Position Size

Amount Margin Quantity Leverage
87.2981 87.2981 591.1698 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 0.0135

Taille de position = 8 / 0.0135 = 592.59

Taille de position USD = 592.59 x 0.1477 = 87.53

Donc, tu peux acheter 592.59 avec un stoploss a 0.1612

Avec un position size USD de 87.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 592.59 x 0.0135 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 592.59 x 0.0406 = 24.06

Si Take Profit atteint, tu gagneras 24.06$

Résumé

  • Taille de position 592.59
  • Taille de position USD 87.53
  • Perte potentielle 8
  • Gain potentiel 24.06
  • Risk-Reward Ratio 3.0074

📌 Peformances

TP % Target TP $ Target
27.49 % 24 $
SL % Target SL $ Target
9.14 % 7.98 $
PNL PNL %
-7.98 $ -9.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.5261 % 104.22 % 27

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00507
            [max_drawdown] => 0.00257
            [rr_ratio] => 1.97
            [high] => 0.15027000
            [low] => 0.14263000
            [mfe_pct] => 3.43
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 24
            [start_at] => 2026-05-16T15:21:07-04:00
            [end_at] => 2026-05-16T17:21:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01157
            [max_drawdown] => 0.00257
            [rr_ratio] => 4.5
            [high] => 0.15027000
            [low] => 0.13613000
            [mfe_pct] => 7.83
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 4.5
            [candles_analyzed] => 84
            [start_at] => 2026-05-16T15:21:07-04:00
            [end_at] => 2026-05-16T22:21:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15170000
            [high_after] => 0.15027000
            [low_before] => 0.14133000
            [low_after] => 0.13652000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#60 / n/a OK
seuil : top 15 · score du 16/05/2026 15:00
Signal Confidence
81 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime