06 Jun 2026 at 00:39:03

Short Trade on BZ (BosPullback)

With 6.46 BZ at 93.91$ per unit. Take profit: 90.8129 (3.3 %) & Stop Loss: 95.1489 (1.32 %)

Short BosPullback on BZ (06 Jun 2026 at 00:39:03 to 09:10:00 - 1 day )

With 6.4576 BZ at 93.91$ per unit.

Position size of 606.4316 $
Take profit at 90.8129 (3.3 %) and Stop Loss at 95.1489 (1.32 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.8
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 : bear_low_confirmed

Score : 3

ml_regime : range_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

06/06 00:02

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 bullish_transition strong grind normal bear_high
79%
06/06 00:00
1h ↔ neutral transition bearish_transition moderate fading normal range_medium
50%
06/06 04:00
15m ↔ neutral transition bullish_transition moderate grind compression range_low
46%
06/06 04:30
5m ↔ neutral range range moderate grind expansion_after_compression range_low
48%
06/06 04:35

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=7|retests=1|break_atr=1.44|prog=0.47|zone=weak
  4. stop_price: 95.14885355
  5. tp_price: 90.81286614
  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_down
  11. confidence : 0.54
  12. trend_strength : -0.0365
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.4203
  15. low_delta_atr : -1.6677
  16. current_swing_amp_atr : 3.593
  17. current_swing_speed : 0.71859
  18. current_swing_efficiency : 0.4944
  19. retracement_ratio : 0.8953
  20. extension_ratio : 1.5318
  21. compression_score : 1.3763
  22. swing_entropy : 1
  23. breakout_strength : -2.1152
  24. distance_to_last_high_atr : -1.6948
  25. distance_to_last_low_atr : 1.8982
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    95.08
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : early_expansion
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.544
  46. state : down_early_expansion_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3189
  49. scores_strength_score:
    0.6249
  50. scores_quality_score:
    0.3371
  51. scores_cleanliness_score:
    0.1623
  52. scores_structural_quality:
    0.48
  53. scores_pullback_score:
    0.8953
  54. scores_exhaustion_score:
    0.2725
  55. scores_continuation_score:
    0.4208
  56. scores_structure_score:
    0.3486
  57. scores_volatility_expansion:
    0.6975
  58. scores_momentum_type_score:
    0.4602
  59. scores_risk_score:
    0.2071
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0622
  62. features_ema50_slope:
    -0.0149
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.339
  65. features_price_vs_ema50:
    -1.1777
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6753
  72. features_trend_efficiency:
    0.4944
  73. features_impulse_strength:
    4.3735
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.8953
  76. features_pullback_depth_atr:
    3.9156
  77. features_extension_from_mean:
    -1.1777
  78. features_impulse_decay_score:
    0.2341
  79. features_opposing_wick_pressure:
    0.3031
  80. features_volatility_percentile:
    0.62
  81. features_volatility_delta:
    0.1883
  82. features_body_ratio:
    0.3524
  83. features_closes_position_ratio:
    0.418
  84. features_slope_consistency:
    0.2387
  85. features_range_position:
    0.2071
  86. features_distance_to_recent_high:
    -7.1327
  87. features_distance_to_recent_low:
    1.863
  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 : -0.1503
  99. obi_top10 : 0.1753
  100. micro_price : 93.90583149
  101. spread_pct : 0.031949
  102. mid_price : 93.915
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 95.3
  107. ask_wall_size : 1041.46
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.1473
  111. obi_top5_std : 0.0122
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7278
  115. aggregation_tick : 0.1
  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] => 2026-06-01 12:00:00
        [price] => 92.78
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-01 15:00:00
        [price] => 98.03
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-01 17:00:00
        [price] => 94.38
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-01 21:00:00
        [price] => 96.03
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-02 09:00:00
        [price] => 93.04
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-02 23:00:00
        [price] => 98.3
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-03 01:00:00
        [price] => 96.65
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-03 10:00:00
        [price] => 99.19
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-03 14:00:00
        [price] => 96.94
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-03 17:00:00
        [price] => 98.45
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 95.65
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-04 10:00:00
        [price] => 96.89
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-04 12:00:00
        [price] => 94
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-04 15:00:00
        [price] => 95.54
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-04 18:00:00
        [price] => 94.25
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-05 02:00:00
        [price] => 95.88
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-05 08:00:00
        [price] => 93.66
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-05 11:00:00
        [price] => 95.39
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-05 21:00:00
        [price] => 92.43
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-06 02:00:00
        [price] => 95.08
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-05 05:30:00
        [price] => 95.57
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-05 07:30:00
        [price] => 94.35
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-05 08:00:00
        [price] => 95.05
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-05 09:00:00
        [price] => 95.16
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-05 09:15:00
        [price] => 94.15
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-05 11:15:00
        [price] => 95.39
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-05 13:00:00
        [price] => 93.79
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-05 13:15:00
        [price] => 94.53
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-05 14:00:00
        [price] => 92.93
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-05 14:15:00
        [price] => 94.09
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-05 16:45:00
        [price] => 92.52
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-05 18:30:00
        [price] => 93.15
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-05 21:15:00
        [price] => 92.43
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-05 21:45:00
        [price] => 93.08
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-05 22:45:00
        [price] => 93.64
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-06 00:00:00
        [price] => 94.97
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-06 00:45:00
        [price] => 94.19
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-06 02:15:00
        [price] => 95.08
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 93.66
  163. strategy_details
  164. levels_hl_price:
    92.43
  165. levels_hl_timestamp: 2026-06-05 21:00:00
  166. levels_hh_price:
    95.08
  167. levels_lh_price:
    95.08
  168. levels_lh_timestamp: 2026-06-06 02:00:00
  169. levels_ll_price:
    92.43
  170. strategy_details
  171. demand_zone_top:
    93.72
  172. demand_zone_bottom:
    92.58
  173. demand_zone_mid:
    93.15
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.8752
  176. strategy_details
  177. supply_zone_top:
    95.88
  178. supply_zone_bottom:
    94.81
  179. supply_zone_mid:
    95.345
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.976
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : range_low
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 54%

Trend

Trend Strength
-0.037
Persistence
0.500
High Δ ATR
-0.420
Low Δ ATR
-1.668

Current Swing

Amp ATR
3.593
Speed
0.719
Efficiency
0.494

Structure

Retracement
0.895
Extension
1.532
Compression
1.376
Entropy
1.000
Breakout Str.
-2.115
Dist High ATR
-1.695
Dist Low ATR
1.898
29 pivots · 28 swings · Last pivot: ↑ 95.0800 @ bar 147

Trend Analyzer 1H

1H ↓ down down_early_expansion_balanced
Confidence 54%

Context

phase early_expansion
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.319
Strength Score 0.625
Quality Score 0.337
Cleanliness Score 0.162
Structural Quality 0.480
Pullback Score 0.895
Exhaustion Score 0.273
Continuation Score 0.421
Structure Score 0.349
Volatility Expansion 0.698
Momentum Type Score 0.460
Risk Score 0.207
Features
Ema20 Slope
0.062
Ema50 Slope
-0.015
Ema Alignment Score
0.000
Price Vs Ema20
-0.339
Price Vs Ema50
-1.178
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.675
Trend Efficiency
0.494
Impulse Strength
4.374
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.895
Pullback Depth Atr
3.916
Extension From Mean
-1.178
Impulse Decay Score
0.234
Opposing Wick Pressure
0.303
Volatility Percentile
0.620
Volatility Delta
0.188
Body Ratio
0.352
Closes Position Ratio
0.418
Slope Consistency
0.239
Range Position
0.207
Distance To Recent High
-7.133
Distance To Recent Low
1.863
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7278ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.150
avg -0.147 ± 0.012
OBI Top 10 0.175

Microstructure

Mid Price
93.9150
Micro Price
93.9058
Spread
0.0319%

↓ Ask Wall (Resistance)

Price
95.3000
Size
1,041.46

📌 Time Data

Start at Closed at Duration
06 Jun 2026
00:39:03
07 Jun 2026
09:10:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
93.91 95.1489 90.8129 2.5 79.42
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 93.91
  • Stop Loss: 95.1489
  • Take Profit: 90.8129

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 95.1489 - 93.91 = 1.2389

  • Récompense (distance jusqu'au take profit):

    E - TP = 93.91 - 90.8129 = 3.0971

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.0971 / 1.2389 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
606.4316 100 6.4576 6.06
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 1.2389

Taille de position = 8 / 1.2389 = 6.46

Taille de position USD = 6.46 x 93.91 = 606.66

Donc, tu peux acheter 6.46 avec un stoploss a 95.1489

Avec un position size USD de 606.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6.46 x 1.2389 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6.46 x 3.0971 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position 6.46
  • Taille de position USD 606.66
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
3.3 % 20 $
SL % Target SL $ Target
1.32 % 8 $
PNL PNL %
-8 $ -1.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4056 % 106.55 % 48

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.61999999999999
            [max_drawdown] => 0.56
            [rr_ratio] => 1.11
            [high] => 94.47000000
            [low] => 93.29000000
            [mfe_pct] => 0.66
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 24
            [start_at] => 2026-06-06T00:39:03-04:00
            [end_at] => 2026-06-06T02:39:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.84999999999999
            [max_drawdown] => 0.56
            [rr_ratio] => 1.52
            [high] => 94.47000000
            [low] => 93.06000000
            [mfe_pct] => 0.91
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 1.52
            [candles_analyzed] => 84
            [start_at] => 2026-06-06T00:39:03-04:00
            [end_at] => 2026-06-06T07:39:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 95.08000000
            [high_after] => 94.47000000
            [low_before] => 93.76000000
            [low_after] => 93.06000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

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