26 May 2026 at 10:04:57

Long Trade on AAVE (BosPullback)

With 6.59 AAVE at 87.83$ per unit. Take profit: 90.8656 (3.46 %) & Stop Loss: 86.6158 (1.38 %)

Long BosPullback on AAVE (26 May 2026 at 10:04:57 to 11:30:00 - 1 hour )

With 6.5886 AAVE at 87.83$ per unit.

Position size of 578.6739 $
Take profit at 90.8656 (3.46 %) and Stop Loss at 86.6158 (1.38 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.47
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 : bull_moderate

rules_regime : range_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_high

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

26/05 10:01

BTC Correlation Coin Market Regime

1H_regime : bull_high_confirmed

15m_regime : bull_medium_confirmed

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate balanced compression bear_high
73%
26/05 12:00
1h ↑ up early_expansion bullish_transition moderate balanced expansion bull_high
75%
26/05 13:00
15m ↔ neutral range range moderate explosive expansion bull_medium_confirmed
72%
26/05 13:45
5m ↔ neutral range range moderate grind expansion_after_compression range_low
48%
26/05 13:55

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=4|retests=1|break_atr=0.84|prog=0.68|zone=invalid
  4. stop_price: 86.6157756
  5. tp_price: 90.865561
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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_up
  11. confidence : 1
  12. trend_strength : 0.1703
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.4482
  15. low_delta_atr : 2.4909
  16. current_swing_amp_atr : 2.2692
  17. current_swing_speed : 0.75641
  18. current_swing_efficiency : 0.3902
  19. retracement_ratio : 0.4926
  20. extension_ratio : 0.6987
  21. compression_score : 0.9592
  22. swing_entropy : 1
  23. breakout_strength : -4.1419
  24. distance_to_last_high_atr : -0.7676
  25. distance_to_last_low_atr : 1.651
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    86.69
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : balanced
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.593
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7149
  49. scores_strength_score:
    0.5756
  50. scores_quality_score:
    0.3712
  51. scores_cleanliness_score:
    0.2231
  52. scores_structural_quality:
    0.4925
  53. scores_pullback_score:
    0.4926
  54. scores_exhaustion_score:
    0.4627
  55. scores_continuation_score:
    0.7472
  56. scores_structure_score:
    0.6348
  57. scores_volatility_expansion:
    0.76
  58. scores_momentum_type_score:
    0.5451
  59. scores_risk_score:
    0.7216
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1624
  62. features_ema50_slope:
    0.0736
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.4003
  65. features_price_vs_ema50:
    1.8138
  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:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5539
  72. features_trend_efficiency:
    0.3902
  73. features_impulse_strength:
    4.7491
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.4926
  76. features_pullback_depth_atr:
    2.3394
  77. features_extension_from_mean:
    1.8138
  78. features_impulse_decay_score:
    0.6506
  79. features_opposing_wick_pressure:
    0.1749
  80. features_volatility_percentile:
    0.6
  81. features_volatility_delta:
    0.4448
  82. features_body_ratio:
    0.5184
  83. features_closes_position_ratio:
    0.6357
  84. features_slope_consistency:
    0.2243
  85. features_range_position:
    0.7216
  86. features_distance_to_recent_high:
    -2.6579
  87. features_distance_to_recent_low:
    6.8909
  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 : 0.0084
  99. obi_top10 : -0.0412
  100. micro_price : 87.79418605
  101. spread_pct : 0.011391
  102. mid_price : 87.795
  103. bid_wall_price : 87.6
  104. bid_wall_size : 4754.88
  105. bid_wall_dist_atr :
  106. ask_wall_price : 88
  107. ask_wall_size : 6779.28
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0251
  111. obi_top5_std : 0.0373
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7302
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-21 17:00:00
        [price] => 89.72
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-22 01:00:00
        [price] => 87.38
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-22 05:00:00
        [price] => 88.46
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-22 07:00:00
        [price] => 87.27
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-22 13:00:00
        [price] => 89.59
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-22 15:00:00
        [price] => 87.34
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-22 17:00:00
        [price] => 88.49
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-22 18:00:00
        [price] => 84.96
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-22 23:00:00
        [price] => 86.83
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-23 08:00:00
        [price] => 82.93
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-23 21:00:00
        [price] => 88.94
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-24 03:00:00
        [price] => 85.92
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-24 12:00:00
        [price] => 87.9
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 84.52
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-24 17:00:00
        [price] => 86.27
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 83.84
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-25 20:00:00
        [price] => 87.36
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 84.97
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 88.36
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-26 13:00:00
        [price] => 86.69
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 87.16
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-25 15:30:00
        [price] => 86.48
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 86.99
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-25 16:30:00
        [price] => 86.54
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-25 18:00:00
        [price] => 87.26
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-25 19:00:00
        [price] => 86.66
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-25 20:00:00
        [price] => 87.36
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-25 22:30:00
        [price] => 85.69
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-26 00:00:00
        [price] => 86.44
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-26 00:45:00
        [price] => 85.29
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-26 01:00:00
        [price] => 85.83
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-26 02:45:00
        [price] => 85.57
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 84.97
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-26 06:00:00
        [price] => 86.61
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-26 06:15:00
        [price] => 85.97
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-26 07:30:00
        [price] => 85.75
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-26 10:30:00
        [price] => 88.36
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 86.9
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-26 12:45:00
        [price] => 87.64
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-26 13:30:00
        [price] => 86.69
        [kind] => low
        [label] => LL
    )
    
  163. bos_level_long : 87.36
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    86.69
  167. levels_hl_timestamp: 2026-05-26 13:00:00
  168. levels_hh_price:
    88.36
  169. levels_lh_price:
    88.36
  170. levels_lh_timestamp: 2026-05-26 10:00:00
  171. levels_ll_price:
    86.69
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    88.86
  175. supply_zone_bottom:
    87.34
  176. supply_zone_mid:
    88.1
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.9333
  179. ¸
  180. regimes
  181. 1H : bull_high_confirmed
  182. 15m : bull_medium_confirmed
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ impulse_up
Confidence 100%

Trend

Trend Strength
0.170
Persistence
0.500
High Δ ATR
1.448
Low Δ ATR
2.491

Current Swing

Amp ATR
2.269
Speed
0.756
Efficiency
0.390

Structure

Retracement
0.493
Extension
0.699
Compression
0.959
Entropy
1.000
Breakout Str.
-4.142
Dist High ATR
-0.768
Dist Low ATR
1.651
26 pivots · 25 swings · Last pivot: ↓ 86.6900 @ bar 148

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 59%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility volatile_reversal
risk premium
htf unknown
Scores
Direction Score 0.715
Strength Score 0.576
Quality Score 0.371
Cleanliness Score 0.223
Structural Quality 0.493
Pullback Score 0.493
Exhaustion Score 0.463
Continuation Score 0.747
Structure Score 0.635
Volatility Expansion 0.760
Momentum Type Score 0.545
Risk Score 0.722
Features
Ema20 Slope
0.162
Ema50 Slope
0.074
Ema Alignment Score
1.000
Price Vs Ema20
1.400
Price Vs Ema50
1.814
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.554
Trend Efficiency
0.390
Impulse Strength
4.749
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.493
Pullback Depth Atr
2.339
Extension From Mean
1.814
Impulse Decay Score
0.651
Opposing Wick Pressure
0.175
Volatility Percentile
0.600
Volatility Delta
0.445
Body Ratio
0.518
Closes Position Ratio
0.636
Slope Consistency
0.224
Range Position
0.722
Distance To Recent High
-2.658
Distance To Recent Low
6.891
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7302ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.008
avg -0.025 ± 0.037
OBI Top 10 -0.041

Microstructure

Mid Price
87.7950
Micro Price
87.7942
Spread
0.0114%

↑ Bid Wall (Support)

Price
87.6000
Size
4,754.88

↓ Ask Wall (Resistance)

Price
88.0000
Size
6,779.28

📌 Time Data

Start at Closed at Duration
26 May 2026
10:04:57
26 May 2026
11:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
87.83 86.6158 90.8656 2.5 90.52
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 87.83
  • Stop Loss: 86.6158
  • Take Profit: 90.8656

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 86.6158 - 87.83 = -1.2142

  • Récompense (distance jusqu'au take profit):

    E - TP = 87.83 - 90.8656 = -3.0356

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.0356 / -1.2142 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
578.6739 100 6.5886 5.79
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 -1.2142

Taille de position = 8 / -1.2142 = -6.59

Taille de position USD = -6.59 x 87.83 = -578.8

Donc, tu peux acheter -6.59 avec un stoploss a 86.6158

Avec un position size USD de -578.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6.59 x -1.2142 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6.59 x -3.0356 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -6.59
  • Taille de position USD -578.8
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
3.46 % 20 $
SL % Target SL $ Target
1.38 % 8 $
PNL PNL %
-8 $ -1.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5484 % 112.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 90.8656
            [entry_price] => 87.83
            [stop_loss] => 86.49438
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-26 15:30:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 90.8656
            [entry_price] => 87.83
            [stop_loss] => 86.37296
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 90.8656
            [entry_price] => 87.83
            [stop_loss] => 86.25154
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 90.8656
            [entry_price] => 87.83
            [stop_loss] => 86.0087
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-26 16:10:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.67
            [max_drawdown] => 1.71
            [rr_ratio] => 0.39
            [high] => 88.50000000
            [low] => 86.12000000
            [mfe_pct] => 0.76
            [mae_pct] => 1.95
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2026-05-26T10:04:57-04:00
            [end_at] => 2026-05-26T12:04:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.67
            [max_drawdown] => 2.45
            [rr_ratio] => 0.27
            [high] => 88.50000000
            [low] => 85.38000000
            [mfe_pct] => 0.76
            [mae_pct] => 2.79
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2026-05-26T10:04:57-04:00
            [end_at] => 2026-05-26T17:04:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 88.36000000
            [high_after] => 88.50000000
            [low_before] => 86.52000000
            [low_after] => 85.38000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#22 / 81 OUT
seuil : top 15 · score du 26/05/2026 10:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime