19 May 2026 at 15:33:00

Long Trade on AVAX (BosPullback)

With 64.82 AVAX at 9.129$ per unit. Take profit: 9.4376 (3.38 %) & Stop Loss: 9.0056 (1.35 %)

Long BosPullback on AVAX (19 May 2026 at 15:33:00 to 03:45:00 - 1 day )

With 64.8166 AVAX at 9.129$ per unit.

Position size of 591.711 $
Take profit at 9.4376 (3.38 %) and Stop Loss at 9.0056 (1.35 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 0.3
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 : 0

ml_regime : range_low

rules_regime : range_medium

rules_regime_5m : range_low

tf_aligned : 1

19/05 15:02

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind compression bear_high
75%
19/05 08:00
1h ↓ down range range moderate grind compression bear_high
74%
19/05 14:00
15m ↔ neutral range range moderate grind compression range_low
48%
19/05 15:15
5m ↔ neutral transition bullish_transition moderate balanced compression range_low
44%
19/05 15:25

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=19|retests=1|break_atr=1.92|prog=0.39|zone=tested
  4. stop_price: 9.00557488
  5. tp_price: 9.43756279
  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 : 0.936
  12. trend_strength : -0.0318
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.456
  15. low_delta_atr : 0.0282
  16. current_swing_amp_atr : 4.0211
  17. current_swing_speed : 0.28722
  18. current_swing_efficiency : 0.2942
  19. retracement_ratio : 0.9934
  20. extension_ratio : 2.3333
  21. compression_score : 1.374
  22. swing_entropy : 1
  23. breakout_strength : -1.6797
  24. distance_to_last_high_atr : -2.5971
  25. distance_to_last_low_atr : 1.6514
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    9.012
  31. last_pivot_index:
    144
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  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 : 0.541
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3733
  49. scores_strength_score:
    0.4857
  50. scores_quality_score:
    0.3884
  51. scores_cleanliness_score:
    0.2275
  52. scores_structural_quality:
    0.52
  53. scores_pullback_score:
    0.9934
  54. scores_exhaustion_score:
    0.1608
  55. scores_continuation_score:
    0.4761
  56. scores_structure_score:
    0.5394
  57. scores_volatility_expansion:
    0.1687
  58. scores_momentum_type_score:
    0.5129
  59. scores_risk_score:
    0.1728
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.046
  62. features_ema50_slope:
    -0.0426
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.3947
  65. features_price_vs_ema50:
    -0.9986
  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:
    19
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.545
  72. features_trend_efficiency:
    0.2942
  73. features_impulse_strength:
    4.0211
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.9934
  76. features_pullback_depth_atr:
    3.6179
  77. features_extension_from_mean:
    -0.9986
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2936
  80. features_volatility_percentile:
    0.16
  81. features_volatility_delta:
    -0.191
  82. features_body_ratio:
    0.4328
  83. features_closes_position_ratio:
    0.4903
  84. features_slope_consistency:
    0.7137
  85. features_range_position:
    0.1728
  86. features_distance_to_recent_high:
    -13.2293
  87. features_distance_to_recent_low:
    2.7641
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : 0.0172
  99. obi_top10 : 0.0577
  100. micro_price : 9.13311888
  101. spread_pct : 0.010949
  102. mid_price : 9.1335
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 9.15
  107. ask_wall_size : 60276.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.019
  111. obi_top5_std : 0.0017
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7078
  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] => 2026-05-15 01:00:00
        [price] => 9.672
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 9.849
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 9.389
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 9.61
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 9.218
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 9.37
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 13:00:00
        [price] => 9.367
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 9.172
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 9.412
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 9.22
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 9.338
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 8.942
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 9.231
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 9.04
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 9.225
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 8.999
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 9.139
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 9.01
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 9.313
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 9.012
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 9.313
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 9.196
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-18 22:15:00
        [price] => 9.269
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 23:00:00
        [price] => 9.188
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 00:00:00
        [price] => 9.27
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 01:15:00
        [price] => 9.192
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 03:45:00
        [price] => 9.288
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-19 04:15:00
        [price] => 9.211
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-19 07:30:00
        [price] => 9.079
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-19 09:00:00
        [price] => 9.149
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-19 09:15:00
        [price] => 9.093
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-19 10:45:00
        [price] => 9.012
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-19 13:15:00
        [price] => 9.18
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-19 14:30:00
        [price] => 9.103
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-19 15:15:00
        [price] => 9.171
        [kind] => high
        [label] => LH
    )
    
  158. bos_level_long : 9.139
  159. bos_level_short : 0
  160. strategy_details
  161. levels_hl_price:
    9.012
  162. levels_hl_timestamp: 2026-05-19 10:00:00
  163. levels_hh_price:
    9.313
  164. levels_lh_price:
    9.313
  165. levels_lh_timestamp: 2026-05-18 20:00:00
  166. levels_ll_price:
    9.012
  167. strategy_details
  168. demand_zone_top:
    9.139
  169. demand_zone_bottom:
    8.999
  170. demand_zone_mid:
    9.069
  171. demand_zone_freshness: tested
  172. demand_zone_strength:
    0.8201
  173. strategy_details
  174. supply_zone_top:
    9.338
  175. supply_zone_bottom:
    9.268
  176. supply_zone_mid:
    9.303
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    1.1485
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 94%

Trend

Trend Strength
-0.032
Persistence
0.500
High Δ ATR
2.456
Low Δ ATR
0.028

Current Swing

Amp ATR
4.021
Speed
0.287
Efficiency
0.294

Structure

Retracement
0.993
Extension
2.333
Compression
1.374
Entropy
1.000
Breakout Str.
-1.680
Dist High ATR
-2.597
Dist Low ATR
1.651
29 pivots · 28 swings · Last pivot: ↓ 9.0120 @ bar 144

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 54%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.373
Strength Score 0.486
Quality Score 0.388
Cleanliness Score 0.228
Structural Quality 0.520
Pullback Score 0.993
Exhaustion Score 0.161
Continuation Score 0.476
Structure Score 0.539
Volatility Expansion 0.169
Momentum Type Score 0.513
Risk Score 0.173
Features
Ema20 Slope
-0.046
Ema50 Slope
-0.043
Ema Alignment Score
0.000
Price Vs Ema20
-0.395
Price Vs Ema50
-0.999
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
1.000
Bars Since Last Bos
19.000
Candle Overlap Ratio
1.000
Wick Ratio
0.545
Trend Efficiency
0.294
Impulse Strength
4.021
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.993
Pullback Depth Atr
3.618
Extension From Mean
-0.999
Impulse Decay Score
0.000
Opposing Wick Pressure
0.294
Volatility Percentile
0.160
Volatility Delta
-0.191
Body Ratio
0.433
Closes Position Ratio
0.490
Slope Consistency
0.714
Range Position
0.173
Distance To Recent High
-13.229
Distance To Recent Low
2.764
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7078ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.017
avg 0.019 ± 0.002
OBI Top 10 0.058

Microstructure

Mid Price
9.1335
Micro Price
9.1331
Spread
0.0109%

↓ Ask Wall (Resistance)

Price
9.1500
Size
60,276.60

📌 Time Data

Start at Closed at Duration
19 May 2026
15:33:00
21 May 2026
03:45:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.129 9.0056 9.4376 2.5 6.369
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 9.129
  • Stop Loss: 9.0056
  • Take Profit: 9.4376

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.0056 - 9.129 = -0.1234

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.129 - 9.4376 = -0.3086

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.3086 / -0.1234 = 2.5008

📌 Position Size

Amount Margin Quantity Leverage
591.711 100 64.8166 5.92
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 -0.1234

Taille de position = 8 / -0.1234 = -64.83

Taille de position USD = -64.83 x 9.129 = -591.83

Donc, tu peux acheter -64.83 avec un stoploss a 9.0056

Avec un position size USD de -591.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -64.83 x -0.1234 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -64.83 x -0.3086 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -64.83
  • Taille de position USD -591.83
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5008

📌 Peformances

TP % Target TP $ Target
3.38 % 20 $
SL % Target SL $ Target
1.35 % 8 $
PNL PNL %
20 $ 3.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8544 % 63.21 % 19

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0080000000000009
            [max_drawdown] => 0.029
            [rr_ratio] => 0.28
            [high] => 9.13700000
            [low] => 9.10000000
            [mfe_pct] => 0.09
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 24
            [start_at] => 2026-05-19T15:33:00-04:00
            [end_at] => 2026-05-19T17:33:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0099999999999998
            [max_drawdown] => 0.077999999999999
            [rr_ratio] => 0.13
            [high] => 9.13900000
            [low] => 9.05100000
            [mfe_pct] => 0.11
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2026-05-19T15:33:00-04:00
            [end_at] => 2026-05-19T22:33:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.18000000
            [high_after] => 9.13900000
            [low_before] => 9.08000000
            [low_after] => 9.05100000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#45 / n/a OUT
seuil : top 15 · score du 19/05/2026 15:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime