07 Jun 2026 at 10:40:39

Long Trade on AAVE (BosPullback)

With 4.68 AAVE at 63.43$ per unit. Take profit: 67.835 (6.94 %) & Stop Loss: 61.7218 (2.69 %)

Long BosPullback on AAVE (07 Jun 2026 at 10:40:39 to 15:00:00 - 4 hours )

With 4.6834 AAVE at 63.43$ per unit.

Position size of 297.065 $
Take profit at 67.835 (6.94 %) and Stop Loss at 61.7218 (2.69 %)

That's a 2.58 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.05
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 : range

rules_regime : bear_high

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

07/06 10:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down early_expansion bearish_transition moderate grind expansion bear_high
67%
06/06 20:00
1h ↓ down transition bearish_transition moderate grind compression bear_high
79%
07/06 00:00
15m ↔ neutral range range strong balanced compression range_medium
49%
07/06 00:30
5m ↑ up transition bullish_transition moderate fading normal bull_low_confirmed
59%
07/06 00:35

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.43|prog=0.59|zone=tested
  4. stop_price: 61.72182172
  5. tp_price: 67.835
  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_up
  11. confidence : 1
  12. trend_strength : 0.1209
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.7395
  15. low_delta_atr : 2.1768
  16. current_swing_amp_atr : 2.3117
  17. current_swing_speed : 0.57793
  18. current_swing_efficiency : 0.4766
  19. retracement_ratio : 0.5214
  20. extension_ratio : 0.8443
  21. compression_score : 1.0352
  22. swing_entropy : 1
  23. breakout_strength : -3.5762
  24. distance_to_last_high_atr : -0.9718
  25. distance_to_last_low_atr : 1.3994
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    61.81
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.512
  46. state : neutral_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5785
  49. scores_strength_score:
    0.6145
  50. scores_quality_score:
    0.417
  51. scores_cleanliness_score:
    0.2248
  52. scores_structural_quality:
    0.5742
  53. scores_pullback_score:
    0.5214
  54. scores_exhaustion_score:
    0.3027
  55. scores_continuation_score:
    0.7406
  56. scores_structure_score:
    0.5662
  57. scores_volatility_expansion:
    0.1879
  58. scores_momentum_type_score:
    0.6238
  59. scores_risk_score:
    0.2739
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0576
  62. features_ema50_slope:
    -0.0151
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.8704
  65. features_price_vs_ema50:
    0.0821
  66. features_recent_hh_hl_score:
    0.3
  67. features_recent_lh_ll_score:
    0.7
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5503
  72. features_trend_efficiency:
    0.4766
  73. features_impulse_strength:
    4.3128
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.5214
  76. features_pullback_depth_atr:
    2.2487
  77. features_extension_from_mean:
    0.0821
  78. features_impulse_decay_score:
    0.5778
  79. features_opposing_wick_pressure:
    0.2577
  80. features_volatility_percentile:
    0.24
  81. features_volatility_delta:
    -0.2342
  82. features_body_ratio:
    0.4405
  83. features_closes_position_ratio:
    0.5777
  84. features_slope_consistency:
    0.8602
  85. features_range_position:
    0.2739
  86. features_distance_to_recent_high:
    -15.2381
  87. features_distance_to_recent_low:
    5.7469
  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 : 0.1589
  99. obi_top10 : 0.1547
  100. micro_price : 63.13291667
  101. spread_pct : 0.01584
  102. mid_price : 63.135
  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 : 0.0424
  111. obi_top5_std : 0.1114
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7205
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-03 11:00:00
        [price] => 76.92
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-03 20:00:00
        [price] => 73.3
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-03 22:00:00
        [price] => 75.94
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 68.11
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 73.25
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 69.44
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-04 15:00:00
        [price] => 72.81
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-04 22:00:00
        [price] => 69.78
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-05 00:00:00
        [price] => 71.68
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-05 06:00:00
        [price] => 64.07
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-05 08:00:00
        [price] => 69.37
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-05 15:00:00
        [price] => 60.4
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 63.58
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 59.22
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-05 21:00:00
        [price] => 63.63
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-06 05:00:00
        [price] => 57.74
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-06 09:00:00
        [price] => 62.46
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-06 15:00:00
        [price] => 59.57
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-07 08:00:00
        [price] => 64.25
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 61.81
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-06 14:15:00
        [price] => 61.53
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-06 15:15:00
        [price] => 59.57
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-06 16:00:00
        [price] => 60.73
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-06 16:30:00
        [price] => 59.88
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-06 18:15:00
        [price] => 60.99
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-06 20:30:00
        [price] => 59.71
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-06 21:30:00
        [price] => 60.94
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-06 22:00:00
        [price] => 60.07
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-07 02:00:00
        [price] => 62.47
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-07 02:15:00
        [price] => 61.72
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-07 04:15:00
        [price] => 61.69
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-07 05:30:00
        [price] => 62.7
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-07 06:00:00
        [price] => 61.94
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-07 07:45:00
        [price] => 63.8
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-07 08:00:00
        [price] => 62.93
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-07 08:45:00
        [price] => 64.25
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-07 11:00:00
        [price] => 62.76
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-07 11:30:00
        [price] => 63.47
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-07 12:30:00
        [price] => 61.81
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 62.46
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    61.81
  166. levels_hl_timestamp: 2026-06-07 12:00:00
  167. levels_hh_price:
    64.25
  168. levels_lh_price:
    64.25
  169. levels_lh_timestamp: 2026-06-07 08:00:00
  170. levels_ll_price:
    61.81
  171. strategy_details
  172. demand_zone_top:
    62.46
  173. demand_zone_bottom:
    59.57
  174. demand_zone_mid:
    61.015
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.6214
  177. strategy_details
  178. supply_zone_top:
    64.25
  179. supply_zone_bottom:
    62.61
  180. supply_zone_mid:
    63.43
  181. supply_zone_freshness: tested
  182. supply_zone_strength:
    0.7141
  183. ¸
  184. regimes
  185. 1H : bear_high
  186. 15m : bull_medium
  187. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.121
Persistence
0.500
High Δ ATR
1.740
Low Δ ATR
2.177

Current Swing

Amp ATR
2.312
Speed
0.578
Efficiency
0.477

Structure

Retracement
0.521
Extension
0.844
Compression
1.035
Entropy
1.000
Breakout Str.
-3.576
Dist High ATR
-0.972
Dist Low ATR
1.399
29 pivots · 28 swings · Last pivot: ↓ 61.8100 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_transition_grind
Confidence 51%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.579
Strength Score 0.615
Quality Score 0.417
Cleanliness Score 0.225
Structural Quality 0.574
Pullback Score 0.521
Exhaustion Score 0.303
Continuation Score 0.741
Structure Score 0.566
Volatility Expansion 0.188
Momentum Type Score 0.624
Risk Score 0.274
Features
Ema20 Slope
0.058
Ema50 Slope
-0.015
Ema Alignment Score
0.667
Price Vs Ema20
0.870
Price Vs Ema50
0.082
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.550
Trend Efficiency
0.477
Impulse Strength
4.313
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.521
Pullback Depth Atr
2.249
Extension From Mean
0.082
Impulse Decay Score
0.578
Opposing Wick Pressure
0.258
Volatility Percentile
0.240
Volatility Delta
-0.234
Body Ratio
0.441
Closes Position Ratio
0.578
Slope Consistency
0.860
Range Position
0.274
Distance To Recent High
-15.238
Distance To Recent Low
5.747
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7205ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.159
avg 0.042 ± 0.111
OBI Top 10 0.155

Microstructure

Mid Price
63.1350
Micro Price
63.1329
Spread
0.0158%

📌 Time Data

Start at Closed at Duration
07 Jun 2026
10:40:39
07 Jun 2026
15:00:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
63.43 61.7218 67.835 2.58 99.8
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 63.43
  • Stop Loss: 61.7218
  • Take Profit: 67.835

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 61.7218 - 63.43 = -1.7082

  • Récompense (distance jusqu'au take profit):

    E - TP = 63.43 - 67.835 = -4.405

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -4.405 / -1.7082 = 2.5787

📌 Position Size

Amount Margin Quantity Leverage
297.065 100 4.6834 2.97
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 -1.7082

Taille de position = 8 / -1.7082 = -4.68

Taille de position USD = -4.68 x 63.43 = -296.85

Donc, tu peux acheter -4.68 avec un stoploss a 61.7218

Avec un position size USD de -296.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.68 x -1.7082 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.68 x -4.405 = 20.62

Si Take Profit atteint, tu gagneras 20.62$

Résumé

  • Taille de position -4.68
  • Taille de position USD -296.85
  • Perte potentielle 7.99
  • Gain potentiel 20.62
  • Risk-Reward Ratio 2.5787

📌 Peformances

TP % Target TP $ Target
6.94 % 20.63 $
SL % Target SL $ Target
2.69 % 8 $
PNL PNL %
-8 $ -2.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8693 % 106.55 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 67.835
            [entry_price] => 63.43
            [stop_loss] => 61.55098
            [rr_ratio] => 2.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-07 19:05:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 67.835
            [entry_price] => 63.43
            [stop_loss] => 61.38016
            [rr_ratio] => 2.15
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-07 19:15:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 67.835
            [entry_price] => 63.43
            [stop_loss] => 61.20934
            [rr_ratio] => 1.98
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-06-07 19:15:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.039999999999999
            [max_drawdown] => 0.8
            [rr_ratio] => -0.05
            [high] => 63.39000000
            [low] => 62.63000000
            [mfe_pct] => -0.06
            [mae_pct] => 1.26
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 24
            [start_at] => 2026-06-07T10:40:39-04:00
            [end_at] => 2026-06-07T12:40:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.039999999999999
            [max_drawdown] => 2.4
            [rr_ratio] => -0.02
            [high] => 63.39000000
            [low] => 61.03000000
            [mfe_pct] => -0.06
            [mae_pct] => 3.78
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 84
            [start_at] => 2026-06-07T10:40:39-04:00
            [end_at] => 2026-06-07T17:40:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 63.50000000
            [high_after] => 63.39000000
            [low_before] => 61.81000000
            [low_after] => 61.03000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#61 / n/a OUT
seuil : top 15 · score du 07/06/2026 10:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime