31 May 2026 at 20:18:35

Short Trade on ETH (BosPullback)

With 0.57 ETH at 2009.63$ per unit. Take profit: 1974.3426 (1.76 %) & Stop Loss: 2023.745 (0.7 %)

Short BosPullback on ETH (31 May 2026 at 20:18:35 to 03:45:00 - 7 hours )

With 0.5668 ETH at 2009.63$ per unit.

Position size of 1139.0057 $
Take profit at 1974.3426 (1.76 %) and Stop Loss at 2023.745 (0.7 %)

That's a 2.5 RR Trade
Duration: 7 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 4.95
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_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

31/05 20:01

BTC Correlation Coin Market Regime

1H_regime : range_medium

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
76%
31/05 20:00
1h ↓ down transition bearish_transition moderate grind volatile_reversal range_medium
43%
01/06 00:00
15m ↔ neutral range range strong explosive volatile_reversal range_low
41%
01/06 00:00
5m ↔ neutral range range moderate grind expansion range_low
50%
01/06 00:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.93
  3. reason: bos_pullback_short|score=4|shallow|bars_since_bos=5|retests=1|break_atr=1.59|prog=0.44|zone=tested
  4. stop_price: 2023.74497741
  5. tp_price: 1974.34255647
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 0.688
  12. trend_strength : -0.1065
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.323
  15. low_delta_atr : -2.2175
  16. current_swing_amp_atr : 3.0765
  17. current_swing_speed : 0.76911
  18. current_swing_efficiency : 0.4838
  19. retracement_ratio : 0.9049
  20. extension_ratio : 2.6046
  21. compression_score : 1.2465
  22. swing_entropy : 1
  23. breakout_strength : -1.6756
  24. distance_to_last_high_atr : -1.3526
  25. distance_to_last_low_atr : 1.7225
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    2022.61
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.609
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2732
  49. scores_strength_score:
    0.5678
  50. scores_quality_score:
    0.3986
  51. scores_cleanliness_score:
    0.2157
  52. scores_structural_quality:
    0.5483
  53. scores_pullback_score:
    0.9049
  54. scores_exhaustion_score:
    0.1376
  55. scores_continuation_score:
    0.443
  56. scores_structure_score:
    0.2964
  57. scores_volatility_expansion:
    0.868
  58. scores_momentum_type_score:
    0.6313
  59. scores_risk_score:
    0.3339
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.039
  62. features_ema50_slope:
    -0.0314
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.2619
  65. features_price_vs_ema50:
    -0.67
  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:
    5
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5686
  72. features_trend_efficiency:
    0.4838
  73. features_impulse_strength:
    3.9397
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.9049
  76. features_pullback_depth_atr:
    3.565
  77. features_extension_from_mean:
    -0.67
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.3161
  80. features_volatility_percentile:
    0.78
  81. features_volatility_delta:
    0.66
  82. features_body_ratio:
    0.5139
  83. features_closes_position_ratio:
    0.4924
  84. features_slope_consistency:
    0.8314
  85. features_range_position:
    0.3339
  86. features_distance_to_recent_high:
    -8.0574
  87. features_distance_to_recent_low:
    4.0384
  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 : -0.1582
  99. obi_top10 : -0.1582
  100. micro_price : 2008.80001309
  101. spread_pct : 0.000498
  102. mid_price : 2008.805
  103. bid_wall_price :
  104. bid_wall_size :
  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 : -0.1093
  111. obi_top5_std : 0.0618
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7271
  115. aggregation_tick : 10
  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] => 2026-05-27 13:00:00
        [price] => 2050.58
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 2079.1
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 2042.27
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 2065.71
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 1966.08
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-28 10:00:00
        [price] => 1997.62
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 1966.3
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 2029.2
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-29 02:00:00
        [price] => 1996.22
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-29 06:00:00
        [price] => 2020.74
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-29 14:00:00
        [price] => 1975.61
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-29 15:00:00
        [price] => 2045.81
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-30 04:00:00
        [price] => 2000.94
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-30 15:00:00
        [price] => 2031.15
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-30 23:00:00
        [price] => 2019.1
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-31 02:00:00
        [price] => 2037.14
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-31 10:00:00
        [price] => 2014.38
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-31 13:00:00
        [price] => 2025.71
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-31 19:00:00
        [price] => 1993.1
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 2022.61
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-31 02:15:00
        [price] => 2037.14
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-31 02:30:00
        [price] => 2026.81
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-31 03:15:00
        [price] => 2035.84
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-31 07:30:00
        [price] => 2021.62
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 2027.61
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-31 08:30:00
        [price] => 2022
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-31 10:15:00
        [price] => 2014.38
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-31 13:15:00
        [price] => 2025.71
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-31 14:15:00
        [price] => 2004.58
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-31 14:30:00
        [price] => 2012.78
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-31 17:00:00
        [price] => 1996.25
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-31 17:45:00
        [price] => 2007.3
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-31 19:30:00
        [price] => 1993.1
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-31 21:45:00
        [price] => 2013.81
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-31 22:00:00
        [price] => 2003.89
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-31 23:00:00
        [price] => 2022.61
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-31 23:30:00
        [price] => 1999.13
        [kind] => low
        [label] => LL
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 2014.38
  162. strategy_details
  163. levels_hl_price:
    1993.1
  164. levels_hl_timestamp: 2026-05-31 19:00:00
  165. levels_hh_price:
    2022.61
  166. levels_lh_price:
    2022.61
  167. levels_lh_timestamp: 2026-05-31 23:00:00
  168. levels_ll_price:
    1993.1
  169. strategy_details
  170. demand_zone_top:
    2007.3
  171. demand_zone_bottom:
    1993.1
  172. demand_zone_mid:
    2000.2
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.8935
  175. strategy_details
  176. supply_zone_top:
    2037.14
  177. supply_zone_bottom:
    2025.53
  178. supply_zone_mid:
    2031.335
  179. supply_zone_freshness: tested
  180. supply_zone_strength:
    0.7704
  181. ¸
  182. regimes
  183. 1H : range_medium
  184. 15m : range_low
  185. ¸

Signaux confirmants (4)

# Heure Entry Δ
1 20:18 2009.63000000 0%
2 20:26 2008.12000000 -0.075%
3 20:34 2012.11000000 +0.123%
4 21:13 2006.92000000 -0.135%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 69%

Trend

Trend Strength
-0.107
Persistence
0.500
High Δ ATR
-0.323
Low Δ ATR
-2.218

Current Swing

Amp ATR
3.077
Speed
0.769
Efficiency
0.484

Structure

Retracement
0.905
Extension
2.605
Compression
1.247
Entropy
1.000
Breakout Str.
-1.676
Dist High ATR
-1.353
Dist Low ATR
1.723
27 pivots · 26 swings · Last pivot: ↑ 2,022.6100 @ bar 148

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 61%

Context

phase transition
structure bearish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility volatile_reversal
risk discount
htf unknown
Scores
Direction Score 0.273
Strength Score 0.568
Quality Score 0.399
Cleanliness Score 0.216
Structural Quality 0.548
Pullback Score 0.905
Exhaustion Score 0.138
Continuation Score 0.443
Structure Score 0.296
Volatility Expansion 0.868
Momentum Type Score 0.631
Risk Score 0.334
Features
Ema20 Slope
-0.039
Ema50 Slope
-0.031
Ema Alignment Score
0.000
Price Vs Ema20
-0.262
Price Vs Ema50
-0.670
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
5.000
Candle Overlap Ratio
1.000
Wick Ratio
0.569
Trend Efficiency
0.484
Impulse Strength
3.940
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.905
Pullback Depth Atr
3.565
Extension From Mean
-0.670
Impulse Decay Score
0.000
Opposing Wick Pressure
0.316
Volatility Percentile
0.780
Volatility Delta
0.660
Body Ratio
0.514
Closes Position Ratio
0.492
Slope Consistency
0.831
Range Position
0.334
Distance To Recent High
-8.057
Distance To Recent Low
4.038
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7271ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.158
avg -0.109 ± 0.062
OBI Top 10 -0.158

Microstructure

Mid Price
2,008.8050
Micro Price
2,008.8000
Spread
0.0005%

📌 Time Data

Start at Closed at Duration
31 May 2026
20:18:35
01 Jun 2026
03:45:00
7 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2009.63 2023.745 1974.3426 2.5 1891.57
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 2009.63
  • Stop Loss: 2023.745
  • Take Profit: 1974.3426

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2023.745 - 2009.63 = 14.115

  • Récompense (distance jusqu'au take profit):

    E - TP = 2009.63 - 1974.3426 = 35.2874

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 35.2874 / 14.115 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
1139.0057 100 0.5668 11.39
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 14.115

Taille de position = 8 / 14.115 = 0.57

Taille de position USD = 0.57 x 2009.63 = 1145.49

Donc, tu peux acheter 0.57 avec un stoploss a 2023.745

Avec un position size USD de 1145.49$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.57 x 14.115 = 8.05

Si Stop Loss atteint, tu perdras 8.05$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.57 x 35.2874 = 20.11

Si Take Profit atteint, tu gagneras 20.11$

Résumé

  • Taille de position 0.57
  • Taille de position USD 1145.49
  • Perte potentielle 8.05
  • Gain potentiel 20.11
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
1.76 % 20 $
SL % Target SL $ Target
0.7 % 8 $
PNL PNL %
20 $ 1.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5653 % 80.48 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 19.17
            [max_drawdown] => 11.36
            [rr_ratio] => 1.69
            [high] => 2020.99000000
            [low] => 1990.46000000
            [mfe_pct] => 0.95
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 24
            [start_at] => 2026-05-31T20:18:35-04:00
            [end_at] => 2026-05-31T22:18:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 30.3
            [max_drawdown] => 11.36
            [rr_ratio] => 2.67
            [high] => 2020.99000000
            [low] => 1979.33000000
            [mfe_pct] => 1.51
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 2.67
            [candles_analyzed] => 84
            [start_at] => 2026-05-31T20:18:35-04:00
            [end_at] => 2026-06-01T03:18:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2022.61000000
            [high_after] => 2020.99000000
            [low_before] => 1999.13000000
            [low_after] => 1987.30000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#52 / n/a OK
seuil : top 15 · score du 31/05/2026 20:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime