20 May 2026 at 18:04:06

Short Trade on GOOGL (BosPullback)

With 2.87 GOOGL at 388.27$ per unit. Take profit: 381.2929 (1.8 %) & Stop Loss: 391.0608 (0.72 %)

Short BosPullback on GOOGL (20 May 2026 at 18:04:06 to 00:05:00 - 6 hours )

With 2.8665 GOOGL at 388.27$ per unit.

Position size of 1112.9905 $
Take profit at 381.2929 (1.8 %) and Stop Loss at 391.0608 (0.72 %)

That's a 2.5 RR Trade
Duration: 6 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.31
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 : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

20/05 18:02

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 ↑ up range range strong grind compression bull_medium
75%
16/05 20:00
1h ↔ neutral transition bullish_transition moderate balanced compression range_low
44%
17/05 03:00
15m ↑ up range range strong balanced expansion_after_compression range_low
52%
17/05 03:15
5m ↔ neutral range bearish_transition strong explosive expansion_after_compression range_low
46%
17/05 03:25

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.84
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=8|retests=1|break_atr=0.47|prog=0.34|zone=tested|ob:ask_pressure(+0.07)|ob:obi_moderate(+0.05)
  4. stop_price: 391.06082336
  5. tp_price: 381.29294159
  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 : -0.4292
  13. trend_persistence : 0.6667
  14. high_delta_atr : -1.6398
  15. low_delta_atr : -1.6112
  16. current_swing_amp_atr : 3.2791
  17. current_swing_speed : 0.54651
  18. current_swing_efficiency : 0.41
  19. retracement_ratio : 1.8048
  20. extension_ratio : 0.9921
  21. compression_score : 1.1191
  22. swing_entropy : 0.9183
  23. breakout_strength : -0.7627
  24. distance_to_last_high_atr : -1.2394
  25. distance_to_last_low_atr : 2.3739
  26. pivot_count : 32
  27. swing_count : 31
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    383.29
  31. last_pivot_index:
    141
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_retest
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.591
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2613
  49. scores_strength_score:
    0.5082
  50. scores_quality_score:
    0.2887
  51. scores_cleanliness_score:
    0.2393
  52. scores_structural_quality:
    0.3292
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3872
  55. scores_continuation_score:
    0.3634
  56. scores_structure_score:
    0.2999
  57. scores_volatility_expansion:
    0.2923
  58. scores_momentum_type_score:
    0.5385
  59. scores_risk_score:
    0.1956
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0047
  62. features_ema50_slope:
    -0.0535
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.0887
  65. features_price_vs_ema50:
    -1.3337
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5215
  72. features_trend_efficiency:
    0.41
  73. features_impulse_strength:
    3.2791
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.8048
  76. features_pullback_depth_atr:
    3.9427
  77. features_extension_from_mean:
    -1.3337
  78. features_impulse_decay_score:
    0.504
  79. features_opposing_wick_pressure:
    0.2757
  80. features_volatility_percentile:
    0.22
  81. features_volatility_delta:
    -0.0596
  82. features_body_ratio:
    0.3823
  83. features_closes_position_ratio:
    0.5134
  84. features_slope_consistency:
    0.7159
  85. features_range_position:
    0.1956
  86. features_distance_to_recent_high:
    -10.3267
  87. features_distance_to_recent_low:
    2.5111
  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 : -0.3032
  99. obi_top10 : -0.2268
  100. micro_price : 388.38610619
  101. spread_pct : 0.018024
  102. mid_price : 388.405
  103. bid_wall_price : 382
  104. bid_wall_size : 902.35
  105. bid_wall_dist_atr :
  106. ask_wall_price : 394
  107. ask_wall_size : 1345.81
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.2956
  111. obi_top5_std : 0.007
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 7167
  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] => 2026-05-17 14:00:00
        [price] => 396.64
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 398.15
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 392.39
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 395.15
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 393.14
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 04:00:00
        [price] => 396.69
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 394.13
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-18 10:00:00
        [price] => 408.75
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-18 15:00:00
        [price] => 396.29
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 403.23
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 398.08
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-19 04:00:00
        [price] => 402.18
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-19 06:00:00
        [price] => 398.09
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-19 08:00:00
        [price] => 401.78
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-19 09:00:00
        [price] => 388.12
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-19 12:00:00
        [price] => 386.59
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 394.31
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 386.67
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-20 04:00:00
        [price] => 390.87
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-20 10:00:00
        [price] => 383.29
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-19 17:15:00
        [price] => 387.95
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-19 18:30:00
        [price] => 387.2
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 388.47
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-19 20:15:00
        [price] => 386.67
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 21:15:00
        [price] => 389.38
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 21:30:00
        [price] => 387.8
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 22:15:00
        [price] => 389.59
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-20 00:45:00
        [price] => 387.36
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-20 04:00:00
        [price] => 390.41
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-20 04:15:00
        [price] => 389.29
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-20 06:15:00
        [price] => 388.64
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-20 06:30:00
        [price] => 389.58
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-20 07:45:00
        [price] => 388
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-20 08:30:00
        [price] => 389.08
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-20 09:15:00
        [price] => 387.27
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-20 09:30:00
        [price] => 393.8
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-20 10:45:00
        [price] => 384.27
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-20 11:45:00
        [price] => 387.3
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-20 13:00:00
        [price] => 384.53
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-20 15:45:00
        [price] => 389.73
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 386.67
  165. strategy_details
  166. levels_hl_price:
    383.29
  167. levels_hl_timestamp: 2026-05-20 10:00:00
  168. levels_hh_price:
    390.87
  169. levels_lh_price:
    390.87
  170. levels_lh_timestamp: 2026-05-20 04:00:00
  171. levels_ll_price:
    383.29
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    390.87
  175. supply_zone_bottom:
    388.69
  176. supply_zone_mid:
    389.78
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    0.9324
  179. ¸
  180. regimes
  181. 1H : bear_medium
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 100%

Trend

Trend Strength
-0.429
Persistence
0.667
High Δ ATR
-1.640
Low Δ ATR
-1.611

Current Swing

Amp ATR
3.279
Speed
0.547
Efficiency
0.410

Structure

Retracement
1.805
Extension
0.992
Compression
1.119
Entropy
0.918
Breakout Str.
-0.763
Dist High ATR
-1.239
Dist Low ATR
2.374
32 pivots · 31 swings · Last pivot: ↓ 383.2900 @ bar 141

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 59%

Context

phase transition
structure bearish_transition
breakout breakout_retest
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.261
Strength Score 0.508
Quality Score 0.289
Cleanliness Score 0.239
Structural Quality 0.329
Pullback Score 1.000
Exhaustion Score 0.387
Continuation Score 0.363
Structure Score 0.300
Volatility Expansion 0.292
Momentum Type Score 0.539
Risk Score 0.196
Features
Ema20 Slope
0.005
Ema50 Slope
-0.054
Ema Alignment Score
0.000
Price Vs Ema20
-0.089
Price Vs Ema50
-1.334
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.522
Trend Efficiency
0.410
Impulse Strength
3.279
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.805
Pullback Depth Atr
3.943
Extension From Mean
-1.334
Impulse Decay Score
0.504
Opposing Wick Pressure
0.276
Volatility Percentile
0.220
Volatility Delta
-0.060
Body Ratio
0.382
Closes Position Ratio
0.513
Slope Consistency
0.716
Range Position
0.196
Distance To Recent High
-10.327
Distance To Recent Low
2.511
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 7167ms Confidence avant OB : 72%84%

Order Book Imbalance

OBI Top 5 -0.303
avg -0.296 ± 0.007
OBI Top 10 -0.227

Microstructure

Mid Price
388.4050
Micro Price
388.3861
Spread
0.0180%

↑ Bid Wall (Support)

Price
382.0000
Size
902.35

↓ Ask Wall (Resistance)

Price
394.0000
Size
1,345.81

📌 Time Data

Start at Closed at Duration
20 May 2026
18:04:06
21 May 2026
00:05:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
388.27 391.0608 381.2929 2.5 367.48
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 388.27
  • Stop Loss: 391.0608
  • Take Profit: 381.2929

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 391.0608 - 388.27 = 2.7908

  • Récompense (distance jusqu'au take profit):

    E - TP = 388.27 - 381.2929 = 6.9771

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.9771 / 2.7908 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1112.9905 100 2.8665 11.13
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 2.7908

Taille de position = 8 / 2.7908 = 2.87

Taille de position USD = 2.87 x 388.27 = 1114.33

Donc, tu peux acheter 2.87 avec un stoploss a 391.0608

Avec un position size USD de 1114.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.87 x 2.7908 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.87 x 6.9771 = 20.02

Si Take Profit atteint, tu gagneras 20.02$

Résumé

  • Taille de position 2.87
  • Taille de position USD 1114.33
  • Perte potentielle 8.01
  • Gain potentiel 20.02
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.8 % 20 $
SL % Target SL $ Target
0.72 % 8 $
PNL PNL %
-8 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7211 % 100.32 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.46
            [max_drawdown] => 0.090000000000032
            [rr_ratio] => 16.22
            [high] => 388.36000000
            [low] => 386.81000000
            [mfe_pct] => 0.38
            [mae_pct] => 0.02
            [mfe_mae_ratio] => 16.22
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T18:04:06-04:00
            [end_at] => 2026-05-20T20:04:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.46
            [max_drawdown] => 2.8
            [rr_ratio] => 0.52
            [high] => 391.07000000
            [low] => 386.81000000
            [mfe_pct] => 0.38
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T18:04:06-04:00
            [end_at] => 2026-05-21T01:04:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 389.73000000
            [high_after] => 390.22000000
            [low_before] => 386.78000000
            [low_after] => 386.81000000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#54 / n/a OUT
seuil : top 15 · score du 20/05/2026 17:00
Signal Confidence
84 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime