22 May 2026 at 11:31:19

Long Trade on AAVE (BosPullback)

With 8.18 AAVE at 88.16$ per unit. Take profit: 90.6056 (2.77 %) & Stop Loss: 87.1818 (1.11 %)

Long BosPullback on AAVE (22 May 2026 at 11:31:19 to 14:30:00 - 2 hours )

With 8.178 AAVE at 88.16$ per unit.

Position size of 720.9758 $
Take profit at 90.6056 (2.77 %) and Stop Loss at 87.1818 (1.11 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 7.04
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

1H_regime : range_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate grind compression bear_high
68%
22/05 00:00
1h ↓ down transition bearish_transition moderate balanced compression bear_high
70%
22/05 01:00
15m ↔ neutral transition bullish_transition moderate balanced expansion_after_compression bear_medium
72%
22/05 11:15
5m ↓ down range range strong balanced expansion bear_low
56%
22/05 11:20

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=2|retests=1|break_atr=0.53|prog=0.38|zone=weak
  4. stop_price: 87.18177028
  5. tp_price: 90.6055743
  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 : range
  11. confidence : 0.91
  12. trend_strength : -0.0451
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.4901
  15. low_delta_atr : -0.1451
  16. current_swing_amp_atr : 3.2861
  17. current_swing_speed : 0.54768
  18. current_swing_efficiency : 0.4234
  19. retracement_ratio : 1.9496
  20. extension_ratio : 2.1481
  21. compression_score : 0.7512
  22. swing_entropy : 1
  23. breakout_strength : -0.3956
  24. distance_to_last_high_atr : -1.8857
  25. distance_to_last_low_atr : 1.1736
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    89.59
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.494
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4229
  49. scores_strength_score:
    0.497
  50. scores_quality_score:
    0.2919
  51. scores_cleanliness_score:
    0.2159
  52. scores_structural_quality:
    0.3542
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1014
  55. scores_continuation_score:
    0.5137
  56. scores_structure_score:
    0.6171
  57. scores_volatility_expansion:
    0.6805
  58. scores_momentum_type_score:
    0.4564
  59. scores_risk_score:
    0.3796
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0309
  62. features_ema50_slope:
    0.0082
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.184
  65. features_price_vs_ema50:
    -0.2726
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5682
  72. features_trend_efficiency:
    0.4234
  73. features_impulse_strength:
    3.2861
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.9496
  76. features_pullback_depth_atr:
    3.4983
  77. features_extension_from_mean:
    -0.2726
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.3102
  80. features_volatility_percentile:
    0.82
  81. features_volatility_delta:
    -0.0172
  82. features_body_ratio:
    0.4428
  83. features_closes_position_ratio:
    0.495
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.3796
  86. features_distance_to_recent_high:
    -3.287
  87. features_distance_to_recent_low:
    2.0115
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : -0.1122
  99. obi_top10 : -0.0461
  100. micro_price : 88.3123516
  101. spread_pct : 0.011324
  102. mid_price : 88.315
  103. bid_wall_price : 88
  104. bid_wall_size : 5174.22
  105. bid_wall_dist_atr :
  106. ask_wall_price : 88.5
  107. ask_wall_size : 8027.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.1176
  111. obi_top5_std : 0.0084
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7049
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 87.78
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 89.93
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 87.03
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 90.12
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 87.39
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 89.13
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-19 21:00:00
        [price] => 86.61
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-20 02:00:00
        [price] => 88.29
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-20 10:00:00
        [price] => 86.89
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-20 13:00:00
        [price] => 89.19
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-20 19:00:00
        [price] => 87.61
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-21 00:00:00
        [price] => 90.18
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-21 03:00:00
        [price] => 88.45
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-21 04:00:00
        [price] => 89.92
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-21 08:00:00
        [price] => 87.63
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-21 13:00:00
        [price] => 89.72
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-21 21:00:00
        [price] => 87.38
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-22 01:00:00
        [price] => 88.46
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-22 03:00:00
        [price] => 87.27
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-22 09:00:00
        [price] => 89.59
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-21 11:15:00
        [price] => 89
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-21 12:45:00
        [price] => 87.97
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-21 13:45:00
        [price] => 89.72
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-21 14:45:00
        [price] => 88.45
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-21 15:00:00
        [price] => 89.21
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-21 21:00:00
        [price] => 87.38
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-22 00:15:00
        [price] => 88.43
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-22 01:00:00
        [price] => 87.78
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-22 01:45:00
        [price] => 88.46
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-22 03:00:00
        [price] => 87.27
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-22 04:30:00
        [price] => 88.41
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-22 06:15:00
        [price] => 87.75
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-22 07:00:00
        [price] => 88.51
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-22 07:15:00
        [price] => 87.93
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-22 09:15:00
        [price] => 89.59
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-22 11:15:00
        [price] => 87.34
        [kind] => low
        [label] => LL
    )
    
  159. bos_level_long : 88.46
  160. bos_level_short : 0
  161. strategy_details
  162. levels_hl_price:
    87.27
  163. levels_hl_timestamp: 2026-05-22 03:00:00
  164. levels_hh_price:
    89.59
  165. levels_lh_price:
    89.59
  166. levels_lh_timestamp: 2026-05-22 09:00:00
  167. levels_ll_price:
    87.27
  168. strategy_details
  169. demand_zone_top:
    88.95
  170. demand_zone_bottom:
    87.61
  171. demand_zone_mid:
    88.28
  172. demand_zone_freshness: weak
  173. demand_zone_strength:
    0.8107
  174. strategy_details
  175. supply_zone_top:
    90.84
  176. supply_zone_bottom:
    90
  177. supply_zone_mid:
    90.42
  178. supply_zone_freshness: weak
  179. supply_zone_strength:
    1.058
  180. ¸
  181. regimes
  182. 1H : range_high
  183. 15m : range_medium
  184. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 91%

Trend

Trend Strength
-0.045
Persistence
0.500
High Δ ATR
1.490
Low Δ ATR
-0.145

Current Swing

Amp ATR
3.286
Speed
0.548
Efficiency
0.423

Structure

Retracement
1.950
Extension
2.148
Compression
0.751
Entropy
1.000
Breakout Str.
-0.396
Dist High ATR
-1.886
Dist Low ATR
1.174
29 pivots · 28 swings · Last pivot: ↑ 89.5900 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 49%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk mid_range
htf unknown
Scores
Direction Score 0.423
Strength Score 0.497
Quality Score 0.292
Cleanliness Score 0.216
Structural Quality 0.354
Pullback Score 1.000
Exhaustion Score 0.101
Continuation Score 0.514
Structure Score 0.617
Volatility Expansion 0.681
Momentum Type Score 0.456
Risk Score 0.380
Features
Ema20 Slope
0.031
Ema50 Slope
0.008
Ema Alignment Score
0.000
Price Vs Ema20
-0.184
Price Vs Ema50
-0.273
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.568
Trend Efficiency
0.423
Impulse Strength
3.286
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.950
Pullback Depth Atr
3.498
Extension From Mean
-0.273
Impulse Decay Score
0.000
Opposing Wick Pressure
0.310
Volatility Percentile
0.820
Volatility Delta
-0.017
Body Ratio
0.443
Closes Position Ratio
0.495
Slope Consistency
0.000
Range Position
0.380
Distance To Recent High
-3.287
Distance To Recent Low
2.012
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7049ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.112
avg -0.118 ± 0.008
OBI Top 10 -0.046

Microstructure

Mid Price
88.3150
Micro Price
88.3124
Spread
0.0113%

↑ Bid Wall (Support)

Price
88.0000
Size
5,174.22

↓ Ask Wall (Resistance)

Price
88.5000
Size
8,027.60

📌 Time Data

Start at Closed at Duration
22 May 2026
11:31:19
22 May 2026
14:30:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
88.16 87.1818 90.6056 2.5 91.8
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 88.16
  • Stop Loss: 87.1818
  • Take Profit: 90.6056

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 87.1818 - 88.16 = -0.9782

  • Récompense (distance jusqu'au take profit):

    E - TP = 88.16 - 90.6056 = -2.4456

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.4456 / -0.9782 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
720.9758 100 8.178 7.21
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 -0.9782

Taille de position = 8 / -0.9782 = -8.18

Taille de position USD = -8.18 x 88.16 = -721.15

Donc, tu peux acheter -8.18 avec un stoploss a 87.1818

Avec un position size USD de -721.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.18 x -0.9782 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.18 x -2.4456 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -8.18
  • Taille de position USD -721.15
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
2.77 % 20 $
SL % Target SL $ Target
1.11 % 8 $
PNL PNL %
-8 $ -1.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.191 % 107.34 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 90.6056
            [entry_price] => 88.16
            [stop_loss] => 87.08398
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-22 18:35:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 90.6056
            [entry_price] => 88.16
            [stop_loss] => 86.98616
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-22 18:35:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 90.6056
            [entry_price] => 88.16
            [stop_loss] => 86.88834
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-22 18:35:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 90.6056
            [entry_price] => 88.16
            [stop_loss] => 86.6927
            [rr_ratio] => 1.67
            [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] => 1.43
            [max_drawdown] => 0.019999999999996
            [rr_ratio] => 71.5
            [high] => 89.59000000
            [low] => 88.14000000
            [mfe_pct] => 1.62
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 71.5
            [candles_analyzed] => 24
            [start_at] => 2026-05-22T11:31:19-04:00
            [end_at] => 2026-05-22T13:31:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.43
            [max_drawdown] => 0.81999999999999
            [rr_ratio] => 1.74
            [high] => 89.59000000
            [low] => 87.34000000
            [mfe_pct] => 1.62
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 1.74
            [candles_analyzed] => 84
            [start_at] => 2026-05-22T11:31:19-04:00
            [end_at] => 2026-05-22T18:31:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 88.51000000
            [high_after] => 89.59000000
            [low_before] => 87.69000000
            [low_after] => 87.34000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#48 / n/a OUT
seuil : top 15 · score du 22/05/2026 11:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime