05 Jun 2026 at 18:13:22

Short Trade on AVAX (BosPullback)

With 30.27 AVAX at 6.858$ per unit. Take profit: 6.1973 (9.63 %) & Stop Loss: 7.1223 (3.85 %)

Short BosPullback on AVAX (05 Jun 2026 at 18:13:22 to 23:15:00 - 1 week )

With 30.2701 AVAX at 6.858$ per unit.

Position size of 207.5923 $
Take profit at 6.1973 (9.63 %) and Stop Loss at 7.1223 (3.85 %)

That's a 2.5 RR Trade
Duration: 1 week

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 9.86
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_high

rules_regime_5m : bull_medium

Score : 2

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

05/06 18:02

BTC Correlation Coin Market Regime

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 ↓ down transition bearish_transition strong balanced volatile_reversal bear_high_confirmed
58%
05/06 20:00
1h ↓ down early_expansion bearish_transition strong explosive expansion_after_compression bear_high
73%
05/06 21:00
15m ↓ down transition bearish_transition moderate balanced compression bear_high
75%
05/06 21:45
5m ↔ neutral range range moderate grind compression bear_high
68%
05/06 22:05

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=3|retests=1|break_atr=0.47|prog=0.46|zone=tested
  4. stop_price: 7.12228731
  5. tp_price: 6.19728172
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
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 : 0.706
  12. trend_strength : -0.3075
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.1167
  15. low_delta_atr : -1.0904
  16. current_swing_amp_atr : 2.7992
  17. current_swing_speed : 1.3996
  18. current_swing_efficiency : 0.8273
  19. retracement_ratio : 1.6469
  20. extension_ratio : 0.9906
  21. compression_score : 0.8041
  22. swing_entropy : 1
  23. breakout_strength : -0.3951
  24. distance_to_last_high_atr : -1.2905
  25. distance_to_last_low_atr : 1.4854
  26. pivot_count : 34
  27. swing_count : 33
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    6.576
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : early_expansion
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : choppy
  39. strength : strong
  40. exhaustion : medium
  41. momentum_type : explosive
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.638
  46. state : down_early_expansion_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.1762
  49. scores_strength_score:
    0.6995
  50. scores_quality_score:
    0.4569
  51. scores_cleanliness_score:
    0.2942
  52. scores_structural_quality:
    0.59
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.5168
  55. scores_continuation_score:
    0.2904
  56. scores_structure_score:
    0.1612
  57. scores_volatility_expansion:
    0.952
  58. scores_momentum_type_score:
    0.7962
  59. scores_risk_score:
    0.1131
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1513
  62. features_ema50_slope:
    -0.1315
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -1.1318
  65. features_price_vs_ema50:
    -2.9161
  66. features_recent_hh_hl_score:
    0.1
  67. features_recent_lh_ll_score:
    0.9
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4116
  72. features_trend_efficiency:
    0.8273
  73. features_impulse_strength:
    2.9305
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.6469
  76. features_pullback_depth_atr:
    2.9643
  77. features_extension_from_mean:
    -2.9161
  78. features_impulse_decay_score:
    0.5047
  79. features_opposing_wick_pressure:
    0.2391
  80. features_volatility_percentile:
    0.92
  81. features_volatility_delta:
    0.4841
  82. features_body_ratio:
    0.6558
  83. features_closes_position_ratio:
    0.4437
  84. features_slope_consistency:
    0.9716
  85. features_range_position:
    0.1131
  86. features_distance_to_recent_high:
    -10.9885
  87. features_distance_to_recent_low:
    1.4015
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.1457
  99. obi_top10 : 0.0157
  100. micro_price : 6.8551559
  101. spread_pct : 0.014588
  102. mid_price : 6.8555
  103. bid_wall_price : 6.84
  104. bid_wall_size : 60382.1
  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 : -0.0315
  111. obi_top5_std : 0.1535
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7470
  115. aggregation_tick : 0.01
  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] => 2026-06-02 03:00:00
        [price] => 8.889
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-02 15:00:00
        [price] => 8.26
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-02 16:00:00
        [price] => 8.503
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-02 19:00:00
        [price] => 8.168
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-02 21:00:00
        [price] => 8.385
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-02 23:00:00
        [price] => 8.02
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-03 01:00:00
        [price] => 8.26
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-03 03:00:00
        [price] => 7.988
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-03 11:00:00
        [price] => 8.366
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-03 20:00:00
        [price] => 7.902
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-03 22:00:00
        [price] => 8.187
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 7.508
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 8.072
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-04 10:00:00
        [price] => 7.538
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-04 15:00:00
        [price] => 7.853
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-05 06:00:00
        [price] => 6.995
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-05 07:00:00
        [price] => 7.315
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 6.783
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 7.103
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 6.576
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-04 21:15:00
        [price] => 7.732
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-04 21:30:00
        [price] => 7.561
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-05 00:15:00
        [price] => 7.719
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-05 01:00:00
        [price] => 7.557
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-05 01:30:00
        [price] => 7.678
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-05 04:00:00
        [price] => 7.287
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-05 05:00:00
        [price] => 7.503
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-05 06:15:00
        [price] => 6.995
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-05 06:30:00
        [price] => 7.226
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-05 07:45:00
        [price] => 7.315
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-05 08:30:00
        [price] => 7.119
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-05 09:15:00
        [price] => 7.276
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-05 12:30:00
        [price] => 7.011
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-05 13:30:00
        [price] => 7.217
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-05 14:00:00
        [price] => 6.884
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-05 14:45:00
        [price] => 7.121
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-05 16:00:00
        [price] => 6.783
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 7.103
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-05 19:30:00
        [price] => 6.576
        [kind] => low
        [label] => LL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-05 21:45:00
        [price] => 7.005
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 6.783
  165. strategy_details
  166. levels_hl_price:
    6.576
  167. levels_hl_timestamp: 2026-06-05 19:00:00
  168. levels_hh_price:
    7.103
  169. levels_lh_price:
    7.103
  170. levels_lh_timestamp: 2026-06-05 17:00:00
  171. levels_ll_price:
    6.576
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    7.121
  175. supply_zone_bottom:
    6.783
  176. supply_zone_mid:
    6.952
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    0.8472
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : bear_high
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 71%

Trend

Trend Strength
-0.308
Persistence
0.500
High Δ ATR
-1.117
Low Δ ATR
-1.090

Current Swing

Amp ATR
2.799
Speed
1.400
Efficiency
0.827

Structure

Retracement
1.647
Extension
0.991
Compression
0.804
Entropy
1.000
Breakout Str.
-0.395
Dist High ATR
-1.291
Dist Low ATR
1.485
34 pivots · 33 swings · Last pivot: ↓ 6.5760 @ bar 146

Trend Analyzer 1H

1H ↓ down down_early_expansion_explosive
Confidence 64%

Context

phase early_expansion
structure bearish_transition
breakout fresh_breakout
quality choppy
strength strong
exhaustion medium
momentum explosive
volatility expansion_after_compression
risk approaching_support
htf unknown
Scores
Direction Score 0.176
Strength Score 0.700
Quality Score 0.457
Cleanliness Score 0.294
Structural Quality 0.590
Pullback Score 1.000
Exhaustion Score 0.517
Continuation Score 0.290
Structure Score 0.161
Volatility Expansion 0.952
Momentum Type Score 0.796
Risk Score 0.113
Features
Ema20 Slope
-0.151
Ema50 Slope
-0.132
Ema Alignment Score
0.000
Price Vs Ema20
-1.132
Price Vs Ema50
-2.916
Recent Hh Hl Score
0.100
Recent Lh Ll Score
0.900
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.412
Trend Efficiency
0.827
Impulse Strength
2.931
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.647
Pullback Depth Atr
2.964
Extension From Mean
-2.916
Impulse Decay Score
0.505
Opposing Wick Pressure
0.239
Volatility Percentile
0.920
Volatility Delta
0.484
Body Ratio
0.656
Closes Position Ratio
0.444
Slope Consistency
0.972
Range Position
0.113
Distance To Recent High
-10.989
Distance To Recent Low
1.402
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7470ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.146
avg -0.032 ± 0.154
OBI Top 10 0.016

Microstructure

Mid Price
6.8555
Micro Price
6.8552
Spread
0.0146%

↑ Bid Wall (Support)

Price
6.8400
Size
60,382.10

📌 Time Data

Start at Closed at Duration
05 Jun 2026
18:13:22
18 Jun 2026
23:15:00
1 week

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.858 7.1223 6.1973 2.5 6.596
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 6.858
  • Stop Loss: 7.1223
  • Take Profit: 6.1973

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.1223 - 6.858 = 0.2643

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.858 - 6.1973 = 0.6607

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.6607 / 0.2643 = 2.4998

📌 Position Size

Amount Margin Quantity Leverage
207.5923 100 30.2701 2.08
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 0.2643

Taille de position = 8 / 0.2643 = 30.27

Taille de position USD = 30.27 x 6.858 = 207.59

Donc, tu peux acheter 30.27 avec un stoploss a 7.1223

Avec un position size USD de 207.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 30.27 x 0.2643 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 30.27 x 0.6607 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position 30.27
  • Taille de position USD 207.59
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.4998

📌 Peformances

TP % Target TP $ Target
9.63 % 20 $
SL % Target SL $ Target
3.85 % 8 $
PNL PNL %
20 $ 9.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3185 % 60.16 % 63

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.23
            [max_drawdown] => 0.025
            [rr_ratio] => 9.2
            [high] => 6.88300000
            [low] => 6.62800000
            [mfe_pct] => 3.35
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 9.2
            [candles_analyzed] => 24
            [start_at] => 2026-06-05T18:13:22-04:00
            [end_at] => 2026-06-05T20:13:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.641
            [max_drawdown] => 0.069
            [rr_ratio] => 9.29
            [high] => 6.92700000
            [low] => 6.21700000
            [mfe_pct] => 9.35
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 9.29
            [candles_analyzed] => 84
            [start_at] => 2026-06-05T18:13:22-04:00
            [end_at] => 2026-06-06T01:13:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.00500000
            [high_after] => 6.92700000
            [low_before] => 6.57600000
            [low_after] => 6.33800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#62 / 126 OUT
seuil : top 15 · score du 05/06/2026 18:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime