12 Jun 2026 at 00:37:16

Long Trade on ETH (BosPullback)

With 0.37 ETH at 1678.91$ per unit. Take profit: 1732.9748 (3.22 %) & Stop Loss: 1657.2841 (1.29 %)

Long BosPullback on ETH (12 Jun 2026 at 00:37:16 to 02:30:00 - 1 hour )

With 0.3699 ETH at 1678.91$ per unit.

Position size of 621.0733 $
Take profit at 1732.9748 (3.22 %) and Stop Loss at 1657.2841 (1.29 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.13
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 : bull_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : bear_high

tf_aligned : 1

12/06 00:04

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down pullback bear_trend moderate fading compression bear_high
69%
11/06 20:00
1h ↑ up transition bullish_transition strong grind compression bull_high
74%
12/06 03:00
15m ↔ neutral transition bearish_transition moderate balanced compression range_low
45%
12/06 04:15
5m ↔ neutral range range moderate balanced normal range_low
46%
12/06 04:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=9|retests=1|break_atr=0.50|prog=0.59|zone=invalid|ob:bid_pressure(+0.07)
  4. stop_price: 1657.28408278
  5. tp_price: 1732.97479305
  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_up
  11. confidence : 0.871
  12. trend_strength : 0.1875
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.3263
  15. low_delta_atr : 1.7836
  16. current_swing_amp_atr : 2.1627
  17. current_swing_speed : 0.36045
  18. current_swing_efficiency : 0.4085
  19. retracement_ratio : 0.562
  20. extension_ratio : 0.8335
  21. compression_score : 0.6797
  22. swing_entropy : 1
  23. breakout_strength : -3.1279
  24. distance_to_last_high_atr : -0.944
  25. distance_to_last_low_atr : 1.3444
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1658.47
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.577
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7329
  49. scores_strength_score:
    0.5426
  50. scores_quality_score:
    0.3581
  51. scores_cleanliness_score:
    0.1825
  52. scores_structural_quality:
    0.5017
  53. scores_pullback_score:
    0.562
  54. scores_exhaustion_score:
    0.4517
  55. scores_continuation_score:
    0.7577
  56. scores_structure_score:
    0.6978
  57. scores_volatility_expansion:
    0.1741
  58. scores_momentum_type_score:
    0.5604
  59. scores_risk_score:
    0.6645
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0651
  62. features_ema50_slope:
    0.0532
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.8931
  65. features_price_vs_ema50:
    1.6108
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6349
  72. features_trend_efficiency:
    0.4085
  73. features_impulse_strength:
    3.2819
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.562
  76. features_pullback_depth_atr:
    1.8444
  77. features_extension_from_mean:
    1.6108
  78. features_impulse_decay_score:
    0.5833
  79. features_opposing_wick_pressure:
    0.3096
  80. features_volatility_percentile:
    0.06
  81. features_volatility_delta:
    -0.0928
  82. features_body_ratio:
    0.418
  83. features_closes_position_ratio:
    0.4808
  84. features_slope_consistency:
    0.8205
  85. features_range_position:
    0.6645
  86. features_distance_to_recent_high:
    -3.2151
  87. features_distance_to_recent_low:
    6.3675
  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 : 0.1153
  99. obi_top10 : 0.1153
  100. micro_price : 1677.89897887
  101. spread_pct : 0.000596
  102. mid_price : 1677.895
  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 : 4
  110. obi_top5_mean : 0.1543
  111. obi_top5_std : 0.0384
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6726
  115. aggregation_tick : 10
  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] => 2026-06-07 19:00:00
        [price] => 1602.39
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-07 22:00:00
        [price] => 1722.15
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-07 23:00:00
        [price] => 1670
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-08 05:00:00
        [price] => 1643.83
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-08 15:00:00
        [price] => 1705.6
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-08 17:00:00
        [price] => 1674.31
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-08 23:00:00
        [price] => 1713.74
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-09 02:00:00
        [price] => 1653.3
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-09 04:00:00
        [price] => 1696.31
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-09 16:00:00
        [price] => 1613
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-09 20:00:00
        [price] => 1663
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-10 05:00:00
        [price] => 1615.32
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-10 07:00:00
        [price] => 1642.97
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-10 09:00:00
        [price] => 1605
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-10 13:00:00
        [price] => 1667.3
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-10 21:00:00
        [price] => 1602.37
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-11 11:00:00
        [price] => 1672.84
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-11 17:00:00
        [price] => 1631.83
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-11 19:00:00
        [price] => 1692.65
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-12 01:00:00
        [price] => 1658.47
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-11 03:45:00
        [price] => 1661.3
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-11 06:00:00
        [price] => 1645.24
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-11 06:30:00
        [price] => 1662.73
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-11 07:30:00
        [price] => 1650.51
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-11 08:45:00
        [price] => 1663.53
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-11 10:15:00
        [price] => 1653.06
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-11 11:45:00
        [price] => 1672.84
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-11 12:30:00
        [price] => 1641.57
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-11 13:45:00
        [price] => 1658.84
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-11 14:15:00
        [price] => 1638.16
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-11 14:45:00
        [price] => 1654.79
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-11 17:15:00
        [price] => 1631.83
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-11 17:45:00
        [price] => 1692.99
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-11 19:00:00
        [price] => 1675.14
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-11 19:30:00
        [price] => 1692.65
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-11 20:30:00
        [price] => 1666.3
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-11 21:00:00
        [price] => 1682.7
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-12 01:15:00
        [price] => 1658.47
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-12 02:30:00
        [price] => 1677.8
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-12 04:00:00
        [price] => 1668.28
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 1672.84
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    1658.47
  167. levels_hl_timestamp: 2026-06-12 01:00:00
  168. levels_hh_price:
    1692.65
  169. levels_lh_price:
    1692.65
  170. levels_lh_timestamp: 2026-06-11 19:00:00
  171. levels_ll_price:
    1658.47
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    1713.74
  175. supply_zone_bottom:
    1677.52
  176. supply_zone_mid:
    1695.63
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.8768
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 87%

Trend

Trend Strength
0.188
Persistence
0.500
High Δ ATR
1.326
Low Δ ATR
1.784

Current Swing

Amp ATR
2.163
Speed
0.360
Efficiency
0.409

Structure

Retracement
0.562
Extension
0.834
Compression
0.680
Entropy
1.000
Breakout Str.
-3.128
Dist High ATR
-0.944
Dist Low ATR
1.344
27 pivots · 26 swings · Last pivot: ↓ 1,658.4700 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 58%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk premium
htf unknown
Scores
Direction Score 0.733
Strength Score 0.543
Quality Score 0.358
Cleanliness Score 0.183
Structural Quality 0.502
Pullback Score 0.562
Exhaustion Score 0.452
Continuation Score 0.758
Structure Score 0.698
Volatility Expansion 0.174
Momentum Type Score 0.560
Risk Score 0.665
Features
Ema20 Slope
0.065
Ema50 Slope
0.053
Ema Alignment Score
1.000
Price Vs Ema20
0.893
Price Vs Ema50
1.611
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.635
Trend Efficiency
0.409
Impulse Strength
3.282
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.562
Pullback Depth Atr
1.844
Extension From Mean
1.611
Impulse Decay Score
0.583
Opposing Wick Pressure
0.310
Volatility Percentile
0.060
Volatility Delta
-0.093
Body Ratio
0.418
Closes Position Ratio
0.481
Slope Consistency
0.821
Range Position
0.665
Distance To Recent High
-3.215
Distance To Recent Low
6.368
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 4 snapshots 6726ms Confidence avant OB : 72%79%

Order Book Imbalance

OBI Top 5 0.115
avg 0.154 ± 0.038
OBI Top 10 0.115

Microstructure

Mid Price
1,677.8950
Micro Price
1,677.8990
Spread
0.0006%

📌 Time Data

Start at Closed at Duration
12 Jun 2026
00:37:16
12 Jun 2026
02:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1678.91 1657.2841 1732.9748 2.5 1946.43
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 1678.91
  • Stop Loss: 1657.2841
  • Take Profit: 1732.9748

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1657.2841 - 1678.91 = -21.6259

  • Récompense (distance jusqu'au take profit):

    E - TP = 1678.91 - 1732.9748 = -54.0648

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -54.0648 / -21.6259 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
621.0733 100 0.3699 6.21
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 -21.6259

Taille de position = 8 / -21.6259 = -0.37

Taille de position USD = -0.37 x 1678.91 = -621.2

Donc, tu peux acheter -0.37 avec un stoploss a 1657.2841

Avec un position size USD de -621.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.37 x -21.6259 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.37 x -54.0648 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -0.37
  • Taille de position USD -621.2
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
3.22 % 20 $
SL % Target SL $ Target
1.29 % 8 $
PNL PNL %
-8 $ -1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6094 % 124.94 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1732.9748
            [entry_price] => 1678.91
            [stop_loss] => 1655.12151
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-06-12 06:30:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1732.9748
            [entry_price] => 1678.91
            [stop_loss] => 1652.95892
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-06-12 06:30:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.089999999999918
            [max_drawdown] => 27.54
            [rr_ratio] => 0
            [high] => 1679.00000000
            [low] => 1651.37000000
            [mfe_pct] => 0.01
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2026-06-12T00:37:16-04:00
            [end_at] => 2026-06-12T02:37:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.8399999999999
            [max_drawdown] => 27.54
            [rr_ratio] => 0.21
            [high] => 1684.75000000
            [low] => 1651.37000000
            [mfe_pct] => 0.35
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 84
            [start_at] => 2026-06-12T00:37:16-04:00
            [end_at] => 2026-06-12T07:37:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1682.84000000
            [high_after] => 1684.75000000
            [low_before] => 1658.47000000
            [low_after] => 1651.37000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#83 / n/a OUT
seuil : top 15 · score du 12/06/2026 00:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime