29 May 2026 at 14:50:41

Short Trade on AVAX (BosPullback)

With 47.82 AVAX at 8.846$ per unit. Take profit: 8.4277 (4.73 %) & Stop Loss: 9.0133 (1.89 %)

Short BosPullback on AVAX (29 May 2026 at 14:50:41 to 22:55:00 - 8 hours )

With 47.8175 AVAX at 8.846$ per unit.

Position size of 422.9932 $
Take profit at 8.4277 (4.73 %) and Stop Loss at 9.0133 (1.89 %)

That's a 2.5 RR Trade
Duration: 8 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.73
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 : bear_medium

rules_regime_5m : range_low

Score : 1

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium_confirmed

tf_aligned : 1

29/05 14:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_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_after_compression bear_high
77%
29/05 16:00
1h ↔ neutral range range strong balanced expansion range_high
49%
29/05 17:00
15m ↔ neutral range range moderate grind volatile_reversal range_medium
37%
29/05 18:30
5m ↔ neutral transition bullish_transition moderate grind compression range_low
44%
29/05 18:35

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=4|retests=1|break_atr=1.23|prog=0.44|zone=tested
  4. stop_price: 9.01330293
  5. tp_price: 8.42774267
  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 : range
  11. confidence : 0.999
  12. trend_strength : -0.0004
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.2463
  15. low_delta_atr : -1.8574
  16. current_swing_amp_atr : 3.6923
  17. current_swing_speed : 3.69234
  18. current_swing_efficiency : 0.7305
  19. retracement_ratio : 1.0725
  20. extension_ratio : 2.3667
  21. compression_score : 1.2591
  22. swing_entropy : 1
  23. breakout_strength : -1.3545
  24. distance_to_last_high_atr : -1.6008
  25. distance_to_last_low_atr : 2.0421
  26. pivot_count : 21
  27. swing_count : 20
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    9.002
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.603
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3108
  49. scores_strength_score:
    0.6678
  50. scores_quality_score:
    0.3771
  51. scores_cleanliness_score:
    0.2319
  52. scores_structural_quality:
    0.4959
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1422
  55. scores_continuation_score:
    0.4567
  56. scores_structure_score:
    0.3527
  57. scores_volatility_expansion:
    0.8783
  58. scores_momentum_type_score:
    0.6492
  59. scores_risk_score:
    0.233
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.02
  62. features_ema50_slope:
    -0.0302
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.4122
  65. features_price_vs_ema50:
    -0.915
  66. features_recent_hh_hl_score:
    0.4444
  67. features_recent_lh_ll_score:
    0.5556
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5361
  72. features_trend_efficiency:
    0.7305
  73. features_impulse_strength:
    4.1019
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.0725
  76. features_pullback_depth_atr:
    4.3993
  77. features_extension_from_mean:
    -0.915
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2487
  80. features_volatility_percentile:
    0.94
  81. features_volatility_delta:
    0.1714
  82. features_body_ratio:
    0.5042
  83. features_closes_position_ratio:
    0.4628
  84. features_slope_consistency:
    0.4519
  85. features_range_position:
    0.233
  86. features_distance_to_recent_high:
    -6.0259
  87. features_distance_to_recent_low:
    1.8308
  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 : -0.0434
  99. obi_top10 : -0.0042
  100. micro_price : 8.8557074
  101. spread_pct : 0.011293
  102. mid_price : 8.8555
  103. bid_wall_price : 8.74
  104. bid_wall_size : 97809.7
  105. bid_wall_dist_atr :
  106. ask_wall_price : 8.88
  107. ask_wall_size : 82999.58
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0049
  111. obi_top5_std : 0.0383
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7207
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 9.129
        [kind] => low
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-24 17:00:00
        [price] => 9.265
        [kind] => high
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 9.06
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 9.501
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 9.158
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 9.462
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-27 04:00:00
        [price] => 9.03
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-27 08:00:00
        [price] => 9.222
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 9.073
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 9.287
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 9.074
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 9.217
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-28 05:00:00
        [price] => 8.707
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 8.923
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-28 15:00:00
        [price] => 8.775
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 9.074
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 8.828
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 8.978
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 8.647
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 9.002
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-28 18:15:00
        [price] => 9.074
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 8.883
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-28 21:30:00
        [price] => 8.989
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-28 22:30:00
        [price] => 8.896
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 8.972
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-29 02:45:00
        [price] => 8.864
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-29 03:00:00
        [price] => 8.947
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 8.828
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-29 06:15:00
        [price] => 8.978
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-29 06:30:00
        [price] => 8.921
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-29 07:15:00
        [price] => 8.972
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-29 07:30:00
        [price] => 8.885
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-29 09:15:00
        [price] => 8.974
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-29 13:30:00
        [price] => 8.783
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-29 13:45:00
        [price] => 8.845
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-29 14:30:00
        [price] => 8.647
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-29 15:30:00
        [price] => 9.002
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-29 16:15:00
        [price] => 8.853
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-29 17:30:00
        [price] => 8.983
        [kind] => high
        [label] => LH
    )
    
  162. bos_level_long : 0
  163. bos_level_short : 8.828
  164. strategy_details
  165. levels_hl_price:
    8.647
  166. levels_hl_timestamp: 2026-05-29 14:00:00
  167. levels_hh_price:
    9.002
  168. levels_lh_price:
    9.002
  169. levels_lh_timestamp: 2026-05-29 15:00:00
  170. levels_ll_price:
    8.647
  171. demand_zone :
  172. strategy_details
  173. supply_zone_top:
    8.978
  174. supply_zone_bottom:
    8.896
  175. supply_zone_mid:
    8.937
  176. supply_zone_freshness: tested
  177. supply_zone_strength:
    0.863
  178. ¸
  179. regimes
  180. 1H : bear_high
  181. 15m : range_medium
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 100%

Trend

Trend Strength
0.000
Persistence
0.500
High Δ ATR
0.246
Low Δ ATR
-1.857

Current Swing

Amp ATR
3.692
Speed
3.692
Efficiency
0.731

Structure

Retracement
1.073
Extension
2.367
Compression
1.259
Entropy
1.000
Breakout Str.
-1.355
Dist High ATR
-1.601
Dist Low ATR
2.042
21 pivots · 20 swings · Last pivot: ↑ 9.0020 @ bar 146

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 60%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum grind
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.311
Strength Score 0.668
Quality Score 0.377
Cleanliness Score 0.232
Structural Quality 0.496
Pullback Score 1.000
Exhaustion Score 0.142
Continuation Score 0.457
Structure Score 0.353
Volatility Expansion 0.878
Momentum Type Score 0.649
Risk Score 0.233
Features
Ema20 Slope
-0.020
Ema50 Slope
-0.030
Ema Alignment Score
0.000
Price Vs Ema20
-0.412
Price Vs Ema50
-0.915
Recent Hh Hl Score
0.444
Recent Lh Ll Score
0.556
Last Bos Direction
-1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.536
Trend Efficiency
0.731
Impulse Strength
4.102
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.073
Pullback Depth Atr
4.399
Extension From Mean
-0.915
Impulse Decay Score
0.000
Opposing Wick Pressure
0.249
Volatility Percentile
0.940
Volatility Delta
0.171
Body Ratio
0.504
Closes Position Ratio
0.463
Slope Consistency
0.452
Range Position
0.233
Distance To Recent High
-6.026
Distance To Recent Low
1.831
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7207ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.043
avg -0.005 ± 0.038
OBI Top 10 -0.004

Microstructure

Mid Price
8.8555
Micro Price
8.8557
Spread
0.0113%

↑ Bid Wall (Support)

Price
8.7400
Size
97,809.70

↓ Ask Wall (Resistance)

Price
8.8800
Size
82,999.58

📌 Time Data

Start at Closed at Duration
29 May 2026
14:50:41
29 May 2026
22:55:00
8 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.846 9.0133 8.4277 2.5 6.616
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 8.846
  • Stop Loss: 9.0133
  • Take Profit: 8.4277

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.0133 - 8.846 = 0.1673

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.846 - 8.4277 = 0.4183

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.4183 / 0.1673 = 2.5003

📌 Position Size

Amount Margin Quantity Leverage
422.9932 100 47.8175 4.23
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 0.1673

Taille de position = 8 / 0.1673 = 47.82

Taille de position USD = 47.82 x 8.846 = 423.02

Donc, tu peux acheter 47.82 avec un stoploss a 9.0133

Avec un position size USD de 423.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 47.82 x 0.1673 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 47.82 x 0.4183 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position 47.82
  • Taille de position USD 423.02
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5003

📌 Peformances

TP % Target TP $ Target
4.73 % 20 $
SL % Target SL $ Target
1.89 % 8 $
PNL PNL %
-8 $ -1.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9105 % 101.02 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.085000000000001
            [max_drawdown] => 0.029999999999999
            [rr_ratio] => 2.83
            [high] => 8.87600000
            [low] => 8.76100000
            [mfe_pct] => 0.96
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 2.83
            [candles_analyzed] => 24
            [start_at] => 2026-05-29T14:50:41-04:00
            [end_at] => 2026-05-29T16:50:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.085000000000001
            [max_drawdown] => 0.11
            [rr_ratio] => 0.77
            [high] => 8.95600000
            [low] => 8.76100000
            [mfe_pct] => 0.96
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 0.77
            [candles_analyzed] => 84
            [start_at] => 2026-05-29T14:50:41-04:00
            [end_at] => 2026-05-29T21:50:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.00200000
            [high_after] => 8.87600000
            [low_before] => 8.70500000
            [low_after] => 8.76100000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#52 / n/a OUT
seuil : top 15 · score du 29/05/2026 14:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime