06 Jun 2026 at 13:42:27

Short Trade on TSLA (BosPullback)

With 2.53 TSLA at 391.79$ per unit. Take profit: 383.8811 (2.02 %) & Stop Loss: 394.9535 (0.81 %)

Short BosPullback on TSLA (06 Jun 2026 at 13:42:27 to 21:55:00 - 8 hours )

With 2.5288 TSLA at 391.79$ per unit.

Position size of 990.7611 $
Take profit at 383.8811 (2.02 %) and Stop Loss at 394.9535 (0.81 %)

That's a 2.5 RR Trade
Duration: 8 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.56
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 : range_low

Score : 2

ml_regime : range_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

06/06 13:02

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
58%
06/06 12:00
1h ↓ down transition bearish_transition strong fading compression bear_medium
77%
06/06 16:00
15m ↑ up transition bullish_transition moderate grind compression range_low
48%
06/06 17:15
5m ↑ up transition bullish_transition moderate explosive compression range_low
53%
06/06 17:25

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.87
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=15|retests=1|break_atr=0.77|prog=0.30|zone=weak|ob:ask_pressure(+0.07)|ob:obi_strong(+0.08)
  4. stop_price: 394.95354783
  5. tp_price: 383.88113043
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 1
  12. trend_strength : -0.3458
  13. trend_persistence : 0.5
  14. high_delta_atr : -11.239
  15. low_delta_atr : -1.4403
  16. current_swing_amp_atr : 2.7306
  17. current_swing_speed : 2.7306
  18. current_swing_efficiency : 0.9278
  19. retracement_ratio : 1.6266
  20. extension_ratio : 0.2762
  21. compression_score : 1.1205
  22. swing_entropy : 1
  23. breakout_strength : -1.1679
  24. distance_to_last_high_atr : -1.1306
  25. distance_to_last_low_atr : 2.6082
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    384.77
  31. last_pivot_index:
    134
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_retest
  38. quality : choppy
  39. strength : strong
  40. exhaustion : high
  41. momentum_type : fading
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.579
  46. state : down_bearish_transition_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.239
  49. scores_strength_score:
    0.81
  50. scores_quality_score:
    0.3585
  51. scores_cleanliness_score:
    0.3201
  52. scores_structural_quality:
    0.39
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.7075
  55. scores_continuation_score:
    0.2583
  56. scores_structure_score:
    0.2545
  57. scores_volatility_expansion:
    0.024
  58. scores_momentum_type_score:
    0.7768
  59. scores_risk_score:
    0.142
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0278
  62. features_ema50_slope:
    -0.1654
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2058
  65. features_price_vs_ema50:
    -3.7155
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    15
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.3598
  72. features_trend_efficiency:
    0.9278
  73. features_impulse_strength:
    9.0667
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.6266
  76. features_pullback_depth_atr:
    2.8174
  77. features_extension_from_mean:
    -3.7155
  78. features_impulse_decay_score:
    0.8619
  79. features_opposing_wick_pressure:
    0.1505
  80. features_volatility_percentile:
    0.04
  81. features_volatility_delta:
    -0.422
  82. features_body_ratio:
    0.5561
  83. features_closes_position_ratio:
    0.4949
  84. features_slope_consistency:
    0.6445
  85. features_range_position:
    0.142
  86. features_distance_to_recent_high:
    -18.678
  87. features_distance_to_recent_low:
    3.0916
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : -0.5243
  99. obi_top10 : -0.2674
  100. micro_price : 391.64894366
  101. spread_pct : 0.002553
  102. mid_price : 391.645
  103. bid_wall_price : 384
  104. bid_wall_size : 426.31
  105. bid_wall_dist_atr :
  106. ask_wall_price : 396
  107. ask_wall_size : 1218.3
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.5239
  111. obi_top5_std : 0.0004
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7191
  115. aggregation_tick : 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 11:00:00
        [price] => 431.7
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-01 14:00:00
        [price] => 419.45
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-01 15:00:00
        [price] => 424.54
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-02 00:00:00
        [price] => 411.4
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-02 08:00:00
        [price] => 419.74
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-02 13:00:00
        [price] => 414.47
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-02 19:00:00
        [price] => 424.55
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-03 10:00:00
        [price] => 417.79
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-03 14:00:00
        [price] => 433.99
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-03 17:00:00
        [price] => 419.14
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-03 18:00:00
        [price] => 425.29
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-03 23:00:00
        [price] => 419.91
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-04 01:00:00
        [price] => 425.95
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 418.6
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-04 13:00:00
        [price] => 426.73
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-05 01:00:00
        [price] => 412.18
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-05 13:00:00
        [price] => 424.91
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-05 19:00:00
        [price] => 388.63
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-06 01:00:00
        [price] => 394.79
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-06 02:00:00
        [price] => 384.77
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-05 17:00:00
        [price] => 398.07
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-05 19:15:00
        [price] => 388.63
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-05 19:45:00
        [price] => 393.51
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-05 20:15:00
        [price] => 389.64
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-05 22:30:00
        [price] => 393.2
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-05 23:45:00
        [price] => 390.81
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-06 01:00:00
        [price] => 394.79
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-06 02:45:00
        [price] => 384.77
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-06 04:00:00
        [price] => 389.83
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-06 04:45:00
        [price] => 385.31
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-06 06:15:00
        [price] => 388.89
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-06 08:00:00
        [price] => 385.37
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-06 09:15:00
        [price] => 389.54
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-06 10:30:00
        [price] => 387.08
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-06 13:00:00
        [price] => 393.24
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-06 13:30:00
        [price] => 390.75
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-06 14:15:00
        [price] => 392.67
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-06 15:15:00
        [price] => 390.99
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 388.63
  163. strategy_details
  164. levels_hl_price:
    384.77
  165. levels_hl_timestamp: 2026-06-06 02:00:00
  166. levels_hh_price:
    394.79
  167. levels_lh_price:
    394.79
  168. levels_lh_timestamp: 2026-06-06 01:00:00
  169. levels_ll_price:
    384.77
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    394.79
  173. supply_zone_bottom:
    388.63
  174. supply_zone_mid:
    391.71
  175. supply_zone_freshness: weak
  176. supply_zone_strength:
    1.0801
  177. ¸
  178. regimes
  179. 1H : bear_medium
  180. 15m : range_low
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 100%

Trend

Trend Strength
-0.346
Persistence
0.500
High Δ ATR
-11.239
Low Δ ATR
-1.440

Current Swing

Amp ATR
2.731
Speed
2.731
Efficiency
0.928

Structure

Retracement
1.627
Extension
0.276
Compression
1.121
Entropy
1.000
Breakout Str.
-1.168
Dist High ATR
-1.131
Dist Low ATR
2.608
24 pivots · 23 swings · Last pivot: ↓ 384.7700 @ bar 134

Trend Analyzer 1H

1H ↓ down down_bearish_transition_fading
Confidence 58%

Context

phase transition
structure bearish_transition
breakout breakout_retest
quality choppy
strength strong
exhaustion high
momentum fading
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.239
Strength Score 0.810
Quality Score 0.359
Cleanliness Score 0.320
Structural Quality 0.390
Pullback Score 1.000
Exhaustion Score 0.708
Continuation Score 0.258
Structure Score 0.255
Volatility Expansion 0.024
Momentum Type Score 0.777
Risk Score 0.142
Features
Ema20 Slope
-0.028
Ema50 Slope
-0.165
Ema Alignment Score
0.000
Price Vs Ema20
-0.206
Price Vs Ema50
-3.716
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
15.000
Candle Overlap Ratio
1.000
Wick Ratio
0.360
Trend Efficiency
0.928
Impulse Strength
9.067
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.627
Pullback Depth Atr
2.817
Extension From Mean
-3.716
Impulse Decay Score
0.862
Opposing Wick Pressure
0.151
Volatility Percentile
0.040
Volatility Delta
-0.422
Body Ratio
0.556
Closes Position Ratio
0.495
Slope Consistency
0.645
Range Position
0.142
Distance To Recent High
-18.678
Distance To Recent Low
3.092
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7191ms Confidence avant OB : 72%87%

Order Book Imbalance

OBI Top 5 -0.524
avg -0.524 ± 0.000
OBI Top 10 -0.267

Microstructure

Mid Price
391.6450
Micro Price
391.6489
Spread
0.0026%

↑ Bid Wall (Support)

Price
384.0000
Size
426.31

↓ Ask Wall (Resistance)

Price
396.0000
Size
1,218.30

📌 Time Data

Start at Closed at Duration
06 Jun 2026
13:42:27
06 Jun 2026
21:55:00
8 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
391.79 394.9535 383.8811 2.5 399.3
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 391.79
  • Stop Loss: 394.9535
  • Take Profit: 383.8811

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 394.9535 - 391.79 = 3.1635

  • Récompense (distance jusqu'au take profit):

    E - TP = 391.79 - 383.8811 = 7.9089

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 7.9089 / 3.1635 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
990.7611 100 2.5288 9.91
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 3.1635

Taille de position = 8 / 3.1635 = 2.53

Taille de position USD = 2.53 x 391.79 = 991.23

Donc, tu peux acheter 2.53 avec un stoploss a 394.9535

Avec un position size USD de 991.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.53 x 3.1635 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.53 x 7.9089 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position 2.53
  • Taille de position USD 991.23
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
2.02 % 20 $
SL % Target SL $ Target
0.81 % 8 $
PNL PNL %
-8 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8168 % 101.16 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.55000000000001
            [max_drawdown] => 1.09
            [rr_ratio] => 0.5
            [high] => 392.88000000
            [low] => 391.24000000
            [mfe_pct] => 0.14
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 24
            [start_at] => 2026-06-06T13:42:27-04:00
            [end_at] => 2026-06-06T15:42:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.55000000000001
            [max_drawdown] => 2.07
            [rr_ratio] => 0.27
            [high] => 393.86000000
            [low] => 391.24000000
            [mfe_pct] => 0.14
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2026-06-06T13:42:27-04:00
            [end_at] => 2026-06-06T20:42:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 392.91000000
            [high_after] => 393.42000000
            [low_before] => 390.82000000
            [low_after] => 391.24000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#23 / n/a OUT
seuil : top 15 · score du 06/06/2026 13:00
Signal Confidence
87 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime