26 Jun 2026 at 05:24:12

Long Trade on RE (BosPullback)

With 165.39 RE at 0.578$ per unit. Take profit: 0.6612 (14.34 %) & Stop Loss: 0.5299 (8.37 %)

Long BosPullback on RE (26 Jun 2026 at 05:24:12 to 14:00:00 - 8 hours )

With 165.3923 RE at 0.5783$ per unit.

Position size of 95.643 $
Take profit at 0.6612 (14.34 %) and Stop Loss at 0.5299 (8.37 %)

That's a 1.71 RR Trade
Duration: 8 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.02
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 : range_low

Score : 0

ml_regime : bull_high

rules_regime : bear_high

rules_regime_4h : bear_high

tf_aligned : 1

26/06 05:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
45%
26/06 08:00
1h ↓ down range range moderate balanced expansion_after_compression bear_high
76%
26/06 09:00
15m ↔ neutral transition bullish_transition strong balanced compression bear_high
68%
26/06 09:00
5m ↓ down range range moderate fading compression bear_high
67%
26/06 09:15

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=4|retests=1|break_atr=0.74|prog=0.42|zone=tested
  4. stop_price: 0.52991014
  5. tp_price: 0.66119
  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 : range
  11. confidence : 0.674
  12. trend_strength : -0.163
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.8859
  15. low_delta_atr : -0.8595
  16. current_swing_amp_atr : 3.7822
  17. current_swing_speed : 1.26075
  18. current_swing_efficiency : 0.598
  19. retracement_ratio : 1.8305
  20. extension_ratio : 2.9452
  21. compression_score : 0.7352
  22. swing_entropy : 1
  23. breakout_strength : -0.5398
  24. distance_to_last_high_atr : -2.4257
  25. distance_to_last_low_atr : 1.7311
  26. pivot_count : 23
  27. swing_count : 22
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.63934
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.524
  46. state : down_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.354
  49. scores_strength_score:
    0.6304
  50. scores_quality_score:
    0.3778
  51. scores_cleanliness_score:
    0.2334
  52. scores_structural_quality:
    0.4958
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.219
  55. scores_continuation_score:
    0.4509
  56. scores_structure_score:
    0.4965
  57. scores_volatility_expansion:
    0.6744
  58. scores_momentum_type_score:
    0.5411
  59. scores_risk_score:
    0.0895
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0232
  62. features_ema50_slope:
    -0.0591
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.288
  65. features_price_vs_ema50:
    -1.8417
  66. features_recent_hh_hl_score:
    0.25
  67. features_recent_lh_ll_score:
    0.75
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5331
  72. features_trend_efficiency:
    0.598
  73. features_impulse_strength:
    3.7822
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.8305
  76. features_pullback_depth_atr:
    4.7478
  77. features_extension_from_mean:
    -1.8417
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2315
  80. features_volatility_percentile:
    0.62
  81. features_volatility_delta:
    0.1536
  82. features_body_ratio:
    0.5421
  83. features_closes_position_ratio:
    0.4235
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.0895
  86. features_distance_to_recent_high:
    -17.5457
  87. features_distance_to_recent_low:
    1.7256
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.1298
  99. obi_top10 : -0.096
  100. micro_price : 0.57654
  101. spread_pct : 0.006938
  102. mid_price : 0.57654
  103. bid_wall_price : 0.573
  104. bid_wall_size : 64515.2
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.581
  107. ask_wall_size : 67486.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0533
  111. obi_top5_std : 0.1226
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6930
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-06-21 05:00:00
        [price] => 0.88161
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-21 09:00:00
        [price] => 1.03166
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-21 18:00:00
        [price] => 0.83159
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-21 21:00:00
        [price] => 0.94045
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-22 15:00:00
        [price] => 0.75797
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-22 18:00:00
        [price] => 0.9797
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-23 02:00:00
        [price] => 0.78907
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-23 03:00:00
        [price] => 0.87043
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-23 11:00:00
        [price] => 0.78235
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-23 17:00:00
        [price] => 0.86485
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-24 04:00:00
        [price] => 0.69337
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-24 05:00:00
        [price] => 0.75495
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-24 17:00:00
        [price] => 0.62462
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-24 20:00:00
        [price] => 0.68256
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-25 13:00:00
        [price] => 0.54202
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-25 17:00:00
        [price] => 0.60722
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-25 21:00:00
        [price] => 0.55456
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-25 23:00:00
        [price] => 0.59085
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-26 02:00:00
        [price] => 0.53246
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-26 05:00:00
        [price] => 0.63934
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-25 08:30:00
        [price] => 0.59566
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-25 09:45:00
        [price] => 0.57243
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-25 10:45:00
        [price] => 0.58981
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-25 12:00:00
        [price] => 0.56121
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-25 13:15:00
        [price] => 0.589
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-25 13:45:00
        [price] => 0.54202
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-25 14:30:00
        [price] => 0.57725
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-25 15:00:00
        [price] => 0.55536
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-25 15:45:00
        [price] => 0.59049
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-25 17:00:00
        [price] => 0.55717
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-25 17:30:00
        [price] => 0.60722
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-25 21:00:00
        [price] => 0.55456
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-25 23:30:00
        [price] => 0.59085
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-26 02:15:00
        [price] => 0.53246
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-26 02:45:00
        [price] => 0.55644
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-26 04:00:00
        [price] => 0.61956
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-26 04:45:00
        [price] => 0.58106
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-26 05:15:00
        [price] => 0.63934
        [kind] => high
        [label] => HH
    )
    
  161. bos_level_long : 0.59085
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.53246
  165. levels_hl_timestamp: 2026-06-26 02:00:00
  166. levels_hh_price:
    0.63934
  167. levels_lh_price:
    0.63934
  168. levels_lh_timestamp: 2026-06-26 05:00:00
  169. levels_ll_price:
    0.53246
  170. strategy_details
  171. demand_zone_top:
    0.57215
  172. demand_zone_bottom:
    0.53246
  173. demand_zone_mid:
    0.552305
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.7955
  176. strategy_details
  177. supply_zone_top:
    0.68256
  178. supply_zone_bottom:
    0.63982
  179. supply_zone_mid:
    0.66119
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.7308
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : range_high
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 67%

Trend

Trend Strength
-0.163
Persistence
0.500
High Δ ATR
1.886
Low Δ ATR
-0.860

Current Swing

Amp ATR
3.782
Speed
1.261
Efficiency
0.598

Structure

Retracement
1.831
Extension
2.945
Compression
0.735
Entropy
1.000
Breakout Str.
-0.540
Dist High ATR
-2.426
Dist Low ATR
1.731
23 pivots · 22 swings · Last pivot: ↑ 0.6393 @ bar 145

Trend Analyzer 1H

1H ↓ down down_range_balanced
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion_after_compression
risk discount
htf unknown
Scores
Direction Score 0.354
Strength Score 0.630
Quality Score 0.378
Cleanliness Score 0.233
Structural Quality 0.496
Pullback Score 1.000
Exhaustion Score 0.219
Continuation Score 0.451
Structure Score 0.497
Volatility Expansion 0.674
Momentum Type Score 0.541
Risk Score 0.090
Features
Ema20 Slope
0.023
Ema50 Slope
-0.059
Ema Alignment Score
0.000
Price Vs Ema20
-0.288
Price Vs Ema50
-1.842
Recent Hh Hl Score
0.250
Recent Lh Ll Score
0.750
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.533
Trend Efficiency
0.598
Impulse Strength
3.782
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.831
Pullback Depth Atr
4.748
Extension From Mean
-1.842
Impulse Decay Score
0.000
Opposing Wick Pressure
0.232
Volatility Percentile
0.620
Volatility Delta
0.154
Body Ratio
0.542
Closes Position Ratio
0.424
Slope Consistency
0.000
Range Position
0.090
Distance To Recent High
-17.546
Distance To Recent Low
1.726
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6930ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.130
avg -0.053 ± 0.123
OBI Top 10 -0.096

Microstructure

Mid Price
0.5765
Micro Price
0.5765
Spread
0.0069%

↑ Bid Wall (Support)

Price
0.5730
Size
64,515.20

↓ Ask Wall (Resistance)

Price
0.5810
Size
67,486.60

📌 Time Data

Start at Closed at Duration
26 Jun 2026
05:24:12
26 Jun 2026
14:00:00
8 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5783 0.5299 0.6612 1.71 0.4899
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 0.5783
  • Stop Loss: 0.5299
  • Take Profit: 0.6612

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5299 - 0.5783 = -0.0484

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5783 - 0.6612 = -0.0829

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0829 / -0.0484 = 1.7128

📌 Position Size

Amount Margin Quantity Leverage
95.643 95.643 165.3923 1.00
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 -0.0484

Taille de position = 8 / -0.0484 = -165.29

Taille de position USD = -165.29 x 0.5783 = -95.59

Donc, tu peux acheter -165.29 avec un stoploss a 0.5299

Avec un position size USD de -95.59$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -165.29 x -0.0484 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -165.29 x -0.0829 = 13.7

Si Take Profit atteint, tu gagneras 13.7$

Résumé

  • Taille de position -165.29
  • Taille de position USD -95.59
  • Perte potentielle 8
  • Gain potentiel 13.7
  • Risk-Reward Ratio 1.7128

📌 Peformances

TP % Target TP $ Target
14.34 % 13.71 $
SL % Target SL $ Target
8.37 % 8 $
PNL PNL %
-8 $ -8.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.9049 % 118.35 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00038000000000005
            [max_drawdown] => 0.02024
            [rr_ratio] => -0.02
            [high] => 0.57792000
            [low] => 0.55806000
            [mfe_pct] => -0.07
            [mae_pct] => 3.5
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2026-06-26T05:24:12-04:00
            [end_at] => 2026-06-26T07:24:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00038000000000005
            [max_drawdown] => 0.04381
            [rr_ratio] => -0.01
            [high] => 0.57792000
            [low] => 0.53449000
            [mfe_pct] => -0.07
            [mae_pct] => 7.58
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 84
            [start_at] => 2026-06-26T05:24:12-04:00
            [end_at] => 2026-06-26T12:24:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63728000
            [high_after] => 0.57792000
            [low_before] => 0.57330000
            [low_after] => 0.53449000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#8 / n/a OK
seuil : top 15 · score du 26/06/2026 05:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime