07 Jun 2026 at 15:23:10

Long Trade on SPCX (BosPullback)

With 1.94 SPCX at 171.87$ per unit. Take profit: 182.2013 (6.01 %) & Stop Loss: 167.7375 (2.4 %)

Long BosPullback on SPCX (07 Jun 2026 at 15:23:10 to 00:30:00 - 9 hours )

With 1.9359 SPCX at 171.87$ per unit.

Position size of 332.7183 $
Take profit at 182.2013 (6.01 %) and Stop Loss at 167.7375 (2.4 %)

That's a 2.5 RR Trade
Duration: 9 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 6.28
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_high

rules_regime_5m : bear_low

Score : 0

ml_regime : range_low

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high

tf_aligned : 1

07/06 15:01

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
52%
07/06 16:00
1h ↑ up transition bullish_transition strong explosive volatile_reversal bear_high
64%
07/06 19:00
15m ↔ neutral transition bullish_transition strong balanced volatile_reversal range_high
42%
07/06 19:00
5m ↓ down transition bearish_transition moderate grind normal range_medium
46%
07/06 19:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=3|retests=1|break_atr=1.09|prog=0.30|zone=tested
  4. stop_price: 167.73749511
  5. tp_price: 182.20126222
  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_up
  11. confidence : 0.871
  12. trend_strength : 0.253
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.4273
  15. low_delta_atr : 0.5504
  16. current_swing_amp_atr : 4.6553
  17. current_swing_speed : 1.16382
  18. current_swing_efficiency : 0.7124
  19. retracement_ratio : 2.2788
  20. extension_ratio : 1.7666
  21. compression_score : 1.4082
  22. swing_entropy : 1
  23. breakout_strength : -0.5857
  24. distance_to_last_high_atr : -3.013
  25. distance_to_last_low_atr : 1.3124
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    180.39
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.639
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7069
  49. scores_strength_score:
    0.6818
  50. scores_quality_score:
    0.3151
  51. scores_cleanliness_score:
    0.1992
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1543
  55. scores_continuation_score:
    0.6115
  56. scores_structure_score:
    0.6293
  57. scores_volatility_expansion:
    0.868
  58. scores_momentum_type_score:
    0.7266
  59. scores_risk_score:
    0.2769
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0928
  62. features_ema50_slope:
    0.0416
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.2694
  65. features_price_vs_ema50:
    0.4594
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6016
  72. features_trend_efficiency:
    0.7124
  73. features_impulse_strength:
    4.6553
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    2.2788
  76. features_pullback_depth_atr:
    5.5211
  77. features_extension_from_mean:
    0.4594
  78. features_impulse_decay_score:
    0.1167
  79. features_opposing_wick_pressure:
    0.2697
  80. features_volatility_percentile:
    0.78
  81. features_volatility_delta:
    0.7423
  82. features_body_ratio:
    0.5004
  83. features_closes_position_ratio:
    0.5681
  84. features_slope_consistency:
    0.8448
  85. features_range_position:
    0.2769
  86. features_distance_to_recent_high:
    -8.552
  87. features_distance_to_recent_low:
    3.2753
  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 : -0.0852
  99. obi_top10 : -0.0824
  100. micro_price : 171.82355039
  101. spread_pct : 0.017462
  102. mid_price : 171.815
  103. bid_wall_price : 169
  104. bid_wall_size : 7289.94
  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 : -0.0912
  111. obi_top5_std : 0.0038
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7255
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-03 12:00:00
        [price] => 187.63
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-03 14:00:00
        [price] => 192.81
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-03 23:00:00
        [price] => 186.3
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-04 04:00:00
        [price] => 190.51
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-04 11:00:00
        [price] => 180.69
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-04 13:00:00
        [price] => 188.73
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-04 19:00:00
        [price] => 170.44
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-05 00:00:00
        [price] => 180
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-05 14:00:00
        [price] => 161.54
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-05 22:00:00
        [price] => 173
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-06 04:00:00
        [price] => 162.57
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-06 06:00:00
        [price] => 168.02
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-06 10:00:00
        [price] => 163.85
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-06 11:00:00
        [price] => 168.25
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-06 20:00:00
        [price] => 163.27
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-07 01:00:00
        [price] => 170.16
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-07 02:00:00
        [price] => 166.57
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-07 06:00:00
        [price] => 173.51
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 168.13
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-07 16:00:00
        [price] => 180.39
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-06 18:30:00
        [price] => 164.33
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-06 18:45:00
        [price] => 163.35
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-06 19:45:00
        [price] => 164.04
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-06 20:30:00
        [price] => 163.27
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-06 23:00:00
        [price] => 168.54
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-06 23:15:00
        [price] => 166.62
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-07 00:45:00
        [price] => 169.48
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-07 01:00:00
        [price] => 167.78
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-07 02:30:00
        [price] => 166.57
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-07 03:30:00
        [price] => 170.34
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-07 04:00:00
        [price] => 168.53
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-07 05:30:00
        [price] => 173.5
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-07 06:00:00
        [price] => 171.19
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-07 07:30:00
        [price] => 169.04
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-07 09:45:00
        [price] => 172.07
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-07 12:15:00
        [price] => 168.13
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-07 15:15:00
        [price] => 175.23
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-07 15:30:00
        [price] => 173.37
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-07 16:30:00
        [price] => 180.39
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 173.51
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    168.13
  166. levels_hl_timestamp: 2026-06-07 12:00:00
  167. levels_hh_price:
    180.39
  168. levels_lh_price:
    180.39
  169. levels_lh_timestamp: 2026-06-07 16:00:00
  170. levels_ll_price:
    168.13
  171. strategy_details
  172. demand_zone_top:
    172.07
  173. demand_zone_bottom:
    168.13
  174. demand_zone_mid:
    170.1
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8752
  177. strategy_details
  178. supply_zone_top:
    180
  179. supply_zone_bottom:
    173.51
  180. supply_zone_mid:
    176.755
  181. supply_zone_freshness: weak
  182. supply_zone_strength:
    0.707
  183. ¸
  184. regimes
  185. 1H : range_high
  186. 15m : range_high
  187. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 15:23 171.87000000 0%
2 15:29 171.87000000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 87%

Trend

Trend Strength
0.253
Persistence
0.500
High Δ ATR
2.427
Low Δ ATR
0.550

Current Swing

Amp ATR
4.655
Speed
1.164
Efficiency
0.712

Structure

Retracement
2.279
Extension
1.767
Compression
1.408
Entropy
1.000
Breakout Str.
-0.586
Dist High ATR
-3.013
Dist Low ATR
1.312
29 pivots · 28 swings · Last pivot: ↑ 180.3900 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 64%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion low
momentum explosive
volatility volatile_reversal
risk discount
htf unknown
Scores
Direction Score 0.707
Strength Score 0.682
Quality Score 0.315
Cleanliness Score 0.199
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.154
Continuation Score 0.612
Structure Score 0.629
Volatility Expansion 0.868
Momentum Type Score 0.727
Risk Score 0.277
Features
Ema20 Slope
0.093
Ema50 Slope
0.042
Ema Alignment Score
1.000
Price Vs Ema20
0.269
Price Vs Ema50
0.459
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.602
Trend Efficiency
0.712
Impulse Strength
4.655
Directional Candle Ratio
0.500
Pullback Depth Ratio
2.279
Pullback Depth Atr
5.521
Extension From Mean
0.459
Impulse Decay Score
0.117
Opposing Wick Pressure
0.270
Volatility Percentile
0.780
Volatility Delta
0.742
Body Ratio
0.500
Closes Position Ratio
0.568
Slope Consistency
0.845
Range Position
0.277
Distance To Recent High
-8.552
Distance To Recent Low
3.275
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7255ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.085
avg -0.091 ± 0.004
OBI Top 10 -0.082

Microstructure

Mid Price
171.8150
Micro Price
171.8236
Spread
0.0175%

↑ Bid Wall (Support)

Price
169.0000
Size
7,289.94

📌 Time Data

Start at Closed at Duration
07 Jun 2026
15:23:10
08 Jun 2026
00:30:00
9 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
171.87 167.7375 182.2013 2.5 192.59
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 171.87
  • Stop Loss: 167.7375
  • Take Profit: 182.2013

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 167.7375 - 171.87 = -4.1325

  • Récompense (distance jusqu'au take profit):

    E - TP = 171.87 - 182.2013 = -10.3313

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -10.3313 / -4.1325 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
332.7183 100 1.9359 3.33
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 -4.1325

Taille de position = 8 / -4.1325 = -1.94

Taille de position USD = -1.94 x 171.87 = -333.43

Donc, tu peux acheter -1.94 avec un stoploss a 167.7375

Avec un position size USD de -333.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1.94 x -4.1325 = 8.02

Si Stop Loss atteint, tu perdras 8.02$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1.94 x -10.3313 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position -1.94
  • Taille de position USD -333.43
  • Perte potentielle 8.02
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
6.01 % 20 $
SL % Target SL $ Target
2.4 % 8 $
PNL PNL %
-8 $ -2.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8568 % 118.82 % 37

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.77
            [max_drawdown] => 0.43000000000001
            [rr_ratio] => 4.12
            [high] => 173.64000000
            [low] => 171.44000000
            [mfe_pct] => 1.03
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 4.12
            [candles_analyzed] => 24
            [start_at] => 2026-06-07T15:23:10-04:00
            [end_at] => 2026-06-07T17:23:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.63
            [max_drawdown] => 0.73000000000002
            [rr_ratio] => 4.97
            [high] => 175.50000000
            [low] => 171.14000000
            [mfe_pct] => 2.11
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 4.97
            [candles_analyzed] => 84
            [start_at] => 2026-06-07T15:23:10-04:00
            [end_at] => 2026-06-07T22:23:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 180.39000000
            [high_after] => 175.50000000
            [low_before] => 170.05000000
            [low_after] => 171.23000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#13 / n/a OK
seuil : top 15 · score du 07/06/2026 15:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime