20 May 2026 at 05:12:47

Short Trade on AAVE (BosPullback)

With 7.95 AAVE at 87.34$ per unit. Take profit: 84.8251 (2.88 %) & Stop Loss: 88.346 (1.15 %)

Short BosPullback on AAVE (20 May 2026 at 05:12:47 to 10:45:00 - 5 hours )

With 7.9525 AAVE at 87.34$ per unit.

Position size of 694.5747 $
Take profit at 84.8251 (2.88 %) and Stop Loss at 88.346 (1.15 %)

That's a 2.5 RR Trade
Duration: 5 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.33
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 : range_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

20/05 05:06

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind compression bear_high
70%
20/05 00:00
1h ↓ down transition bearish_transition moderate grind compression bear_high
72%
20/05 04:00
15m ↔ neutral range range strong explosive normal range_low
47%
20/05 05:00
5m ↔ neutral range range strong explosive normal range_low
48%
20/05 05:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=8|retests=1|break_atr=0.56|prog=0.57|zone=tested
  4. stop_price: 88.34596807
  5. tp_price: 84.82507983
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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_down
  11. confidence : 0.683
  12. trend_strength : -0.1063
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.3054
  15. low_delta_atr : -1.2122
  16. current_swing_amp_atr : 2.4483
  17. current_swing_speed : 0.48965
  18. current_swing_efficiency : 0.4528
  19. retracement_ratio : 0.6667
  20. extension_ratio : 0.9655
  21. compression_score : 0.8008
  22. swing_entropy : 1
  23. breakout_strength : -2.7817
  24. distance_to_last_high_atr : -1.4763
  25. distance_to_last_low_atr : 1.1344
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    88.29
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : choppy
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.533
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.287
  49. scores_strength_score:
    0.5351
  50. scores_quality_score:
    0.4083
  51. scores_cleanliness_score:
    0.2892
  52. scores_structural_quality:
    0.5058
  53. scores_pullback_score:
    0.6667
  54. scores_exhaustion_score:
    0.4119
  55. scores_continuation_score:
    0.3662
  56. scores_structure_score:
    0.3164
  57. scores_volatility_expansion:
    0.0643
  58. scores_momentum_type_score:
    0.5722
  59. scores_risk_score:
    0.0824
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0137
  62. features_ema50_slope:
    -0.0519
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.7056
  65. features_price_vs_ema50:
    -1.811
  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:
    8
  70. features_candle_overlap_ratio:
    0.9474
  71. features_wick_ratio:
    0.4743
  72. features_trend_efficiency:
    0.4528
  73. features_impulse_strength:
    3.4711
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.6667
  76. features_pullback_depth_atr:
    2.3142
  77. features_extension_from_mean:
    -1.811
  78. features_impulse_decay_score:
    0.5172
  79. features_opposing_wick_pressure:
    0.1861
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.2035
  82. features_body_ratio:
    0.4966
  83. features_closes_position_ratio:
    0.4098
  84. features_slope_consistency:
    0.696
  85. features_range_position:
    0.0824
  86. features_distance_to_recent_high:
    -15.6803
  87. features_distance_to_recent_low:
    1.4083
  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 : 0.0454
  99. obi_top10 : -0.0155
  100. micro_price : 87.30951965
  101. spread_pct : 0.011455
  102. mid_price : 87.305
  103. bid_wall_price : 87.1
  104. bid_wall_size : 6362.98
  105. bid_wall_dist_atr :
  106. ask_wall_price : 87.5
  107. ask_wall_size : 6314.3
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0366
  111. obi_top5_std : 0.005
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7066
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-15 13:00:00
        [price] => 94.23
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 87.97
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 89.58
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-16 13:00:00
        [price] => 90.97
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 88.98
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 91.1
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-17 03:00:00
        [price] => 89.94
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 91.63
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 90
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 90.84
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 86.52
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 89.32
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 87.78
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 89.93
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 87.03
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 90.12
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 87.39
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 89.13
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-19 21:00:00
        [price] => 86.61
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-20 02:00:00
        [price] => 88.29
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-19 04:30:00
        [price] => 89.37
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-19 06:45:00
        [price] => 87.97
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-19 07:00:00
        [price] => 88.72
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-19 08:00:00
        [price] => 87.92
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 09:00:00
        [price] => 88.71
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 09:30:00
        [price] => 88.08
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 10:45:00
        [price] => 87.39
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-19 13:15:00
        [price] => 89.13
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-19 15:45:00
        [price] => 87.8
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-19 17:15:00
        [price] => 88.38
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-19 18:15:00
        [price] => 87.2
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-19 19:30:00
        [price] => 87.72
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-19 21:30:00
        [price] => 86.61
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-19 21:45:00
        [price] => 87.36
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-19 22:45:00
        [price] => 86.72
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-19 23:15:00
        [price] => 87.35
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-20 00:30:00
        [price] => 86.79
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-20 02:45:00
        [price] => 88.29
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-20 04:15:00
        [price] => 87.54
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-20 04:30:00
        [price] => 88.04
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 87.39
  165. strategy_details
  166. levels_hl_price:
    86.61
  167. levels_hl_timestamp: 2026-05-19 21:00:00
  168. levels_hh_price:
    88.29
  169. levels_lh_price:
    88.29
  170. levels_lh_timestamp: 2026-05-20 02:00:00
  171. levels_ll_price:
    86.61
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    89.13
  175. supply_zone_bottom:
    87.91
  176. supply_zone_mid:
    88.52
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    0.7421
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 68%

Trend

Trend Strength
-0.106
Persistence
0.500
High Δ ATR
-1.305
Low Δ ATR
-1.212

Current Swing

Amp ATR
2.448
Speed
0.490
Efficiency
0.453

Structure

Retracement
0.667
Extension
0.966
Compression
0.801
Entropy
1.000
Breakout Str.
-2.782
Dist High ATR
-1.476
Dist Low ATR
1.134
24 pivots · 23 swings · Last pivot: ↑ 88.2900 @ bar 146

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 53%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality choppy
strength moderate
exhaustion medium
momentum grind
volatility compression
risk approaching_support
htf unknown
Scores
Direction Score 0.287
Strength Score 0.535
Quality Score 0.408
Cleanliness Score 0.289
Structural Quality 0.506
Pullback Score 0.667
Exhaustion Score 0.412
Continuation Score 0.366
Structure Score 0.316
Volatility Expansion 0.064
Momentum Type Score 0.572
Risk Score 0.082
Features
Ema20 Slope
-0.014
Ema50 Slope
-0.052
Ema Alignment Score
0.000
Price Vs Ema20
-0.706
Price Vs Ema50
-1.811
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
0.947
Wick Ratio
0.474
Trend Efficiency
0.453
Impulse Strength
3.471
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.667
Pullback Depth Atr
2.314
Extension From Mean
-1.811
Impulse Decay Score
0.517
Opposing Wick Pressure
0.186
Volatility Percentile
0.000
Volatility Delta
-0.204
Body Ratio
0.497
Closes Position Ratio
0.410
Slope Consistency
0.696
Range Position
0.082
Distance To Recent High
-15.680
Distance To Recent Low
1.408
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7066ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.045
avg 0.037 ± 0.005
OBI Top 10 -0.016

Microstructure

Mid Price
87.3050
Micro Price
87.3095
Spread
0.0115%

↑ Bid Wall (Support)

Price
87.1000
Size
6,362.98

↓ Ask Wall (Resistance)

Price
87.5000
Size
6,314.30

📌 Time Data

Start at Closed at Duration
20 May 2026
05:12:47
20 May 2026
10:45:00
5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
87.34 88.346 84.8251 2.5 85.77
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 87.34
  • Stop Loss: 88.346
  • Take Profit: 84.8251

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 88.346 - 87.34 = 1.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 87.34 - 84.8251 = 2.5149

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.5149 / 1.006 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
694.5747 100 7.9525 6.95
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 1.006

Taille de position = 8 / 1.006 = 7.95

Taille de position USD = 7.95 x 87.34 = 694.35

Donc, tu peux acheter 7.95 avec un stoploss a 88.346

Avec un position size USD de 694.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7.95 x 1.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7.95 x 2.5149 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position 7.95
  • Taille de position USD 694.35
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
2.88 % 20 $
SL % Target SL $ Target
1.15 % 8 $
PNL PNL %
-8 $ -1.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2022 % 104.38 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 84.8251
            [entry_price] => 87.34
            [stop_loss] => 88.4466
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-20 10:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 84.8251
            [entry_price] => 87.34
            [stop_loss] => 88.5472
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-20 10:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.15000000000001
            [max_drawdown] => 0.72999999999999
            [rr_ratio] => 0.21
            [high] => 88.07000000
            [low] => 87.19000000
            [mfe_pct] => 0.17
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T05:12:47-04:00
            [end_at] => 2026-05-20T07:12:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.45
            [max_drawdown] => 1.66
            [rr_ratio] => 0.27
            [high] => 89.00000000
            [low] => 86.89000000
            [mfe_pct] => 0.52
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T05:12:47-04:00
            [end_at] => 2026-05-20T12:12:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 88.29000000
            [high_after] => 88.59000000
            [low_before] => 87.29000000
            [low_after] => 86.89000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#56 / 62 OK
seuil : top 15 · score du 20/05/2026 05:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime