04 Jun 2026 at 10:14:13

Long Trade on H (BosPullback)

With 158.74 H at 0.605$ per unit. Take profit: 0.7315 (20.81 %) & Stop Loss: 0.5551 (8.32 %)

Long BosPullback on H (04 Jun 2026 at 10:14:13 to 16:25:00 - 6 hours )

With 158.7439 H at 0.6055$ per unit.

Position size of 96.1194 $
Take profit at 0.7315 (20.81 %) and Stop Loss at 0.5551 (8.32 %)

That's a 2.5 RR Trade
Duration: 6 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.1
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 : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bull_medium

Score : 1

ml_regime : range_high

rules_regime : bear_high_confirmed

rules_regime_4h : bear_high_confirmed

tf_aligned : 1

04/06 10:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bull_high
65%
04/06 04:00
1h ↔ neutral range range strong balanced normal range_high
48%
04/06 11:00
15m ↔ neutral range range moderate fading compression bear_high
71%
04/06 13:15
5m ↔ neutral transition bullish_transition moderate grind expansion bear_high
66%
04/06 13:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=8|retests=1|break_atr=0.38|prog=0.52|zone=tested|ob:bid_pressure(+0.07)|ob:obi_moderate(+0.05)
  4. stop_price: 0.55510435
  5. tp_price: 0.73148912
  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 : 0.513
  12. trend_strength : -0.2437
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.9211
  15. low_delta_atr : 0.3635
  16. current_swing_amp_atr : 2.376
  17. current_swing_speed : 2.37599
  18. current_swing_efficiency : 0.8068
  19. retracement_ratio : 1.5691
  20. extension_ratio : 1.2813
  21. compression_score : 0.6245
  22. swing_entropy : 1
  23. breakout_strength : -0.3035
  24. distance_to_last_high_atr : -1.2246
  25. distance_to_last_low_atr : 1.3152
  26. pivot_count : 21
  27. swing_count : 20
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.64916
  31. last_pivot_index:
    141
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.432
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.515
  49. scores_strength_score:
    0.6856
  50. scores_quality_score:
    0.3373
  51. scores_cleanliness_score:
    0.1843
  52. scores_structural_quality:
    0.4625
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2203
  55. scores_continuation_score:
    0.5149
  56. scores_structure_score:
    0.6712
  57. scores_volatility_expansion:
    0.2772
  58. scores_momentum_type_score:
    0.5587
  59. scores_risk_score:
    0.5012
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0078
  62. features_ema50_slope:
    -0.0192
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.3024
  65. features_price_vs_ema50:
    -0.0568
  66. features_recent_hh_hl_score:
    0.7222
  67. features_recent_lh_ll_score:
    0.2778
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6314
  72. features_trend_efficiency:
    0.8068
  73. features_impulse_strength:
    2.376
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.5691
  76. features_pullback_depth_atr:
    2.6509
  77. features_extension_from_mean:
    -0.0568
  78. features_impulse_decay_score:
    0.3593
  79. features_opposing_wick_pressure:
    0.2864
  80. features_volatility_percentile:
    0.2
  81. features_volatility_delta:
    -0.0642
  82. features_body_ratio:
    0.4087
  83. features_closes_position_ratio:
    0.4243
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.5012
  86. features_distance_to_recent_high:
    -7.665
  87. features_distance_to_recent_low:
    7.703
  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 : 0.3152
  99. obi_top10 : 0.303
  100. micro_price : 0.60524756
  101. spread_pct : 0.071084
  102. mid_price : 0.605135
  103. bid_wall_price : 0.601
  104. bid_wall_size : 134911.4
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.608
  107. ask_wall_size : 90858.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.3222
  111. obi_top5_std : 0.0183
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7109
  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] => 2026-05-29 19:00:00
        [price] => 0.25396
        [kind] => low
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-30 11:00:00
        [price] => 0.35226
        [kind] => high
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-30 12:00:00
        [price] => 0.30994
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-30 19:00:00
        [price] => 0.40323
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-31 03:00:00
        [price] => 0.34553
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-31 08:00:00
        [price] => 0.41128
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-31 12:00:00
        [price] => 0.36677
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-01 01:00:00
        [price] => 0.76971
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-01 03:00:00
        [price] => 0.59402
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-01 10:00:00
        [price] => 0.79685
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-01 11:00:00
        [price] => 0.69201
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-01 13:00:00
        [price] => 0.86541
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-01 16:00:00
        [price] => 0.51789
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-02 07:00:00
        [price] => 0.85991
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-02 15:00:00
        [price] => 0.60778
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-03 00:00:00
        [price] => 0.69831
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 0.54565
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-04 03:00:00
        [price] => 0.61632
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-04 05:00:00
        [price] => 0.55861
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-04 06:00:00
        [price] => 0.64916
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-03 14:15:00
        [price] => 0.62103
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-03 14:45:00
        [price] => 0.59
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-03 16:30:00
        [price] => 0.62787
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-03 17:45:00
        [price] => 0.58439
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-03 18:45:00
        [price] => 0.61868
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-03 22:00:00
        [price] => 0.57438
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-03 23:15:00
        [price] => 0.59467
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-04 00:45:00
        [price] => 0.55494
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-04 01:15:00
        [price] => 0.57792
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-04 02:00:00
        [price] => 0.54565
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-04 03:00:00
        [price] => 0.58693
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-04 03:30:00
        [price] => 0.56159
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-04 05:45:00
        [price] => 0.55861
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-04 06:45:00
        [price] => 0.64916
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-04 08:30:00
        [price] => 0.56325
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-04 09:00:00
        [price] => 0.60745
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-04 10:45:00
        [price] => 0.57487
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-04 13:30:00
        [price] => 0.613
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 0.61632
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.55861
  165. levels_hl_timestamp: 2026-06-04 05:00:00
  166. levels_hh_price:
    0.64916
  167. levels_lh_price:
    0.64916
  168. levels_lh_timestamp: 2026-06-04 06:00:00
  169. levels_ll_price:
    0.55861
  170. strategy_details
  171. demand_zone_top:
    0.59467
  172. demand_zone_bottom:
    0.54565
  173. demand_zone_mid:
    0.57016
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8378
  176. strategy_details
  177. supply_zone_top:
    0.70531
  178. supply_zone_bottom:
    0.60778
  179. supply_zone_mid:
    0.656545
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.5466
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 51%

Trend

Trend Strength
-0.244
Persistence
0.500
High Δ ATR
0.921
Low Δ ATR
0.364

Current Swing

Amp ATR
2.376
Speed
2.376
Efficiency
0.807

Structure

Retracement
1.569
Extension
1.281
Compression
0.625
Entropy
1.000
Breakout Str.
-0.304
Dist High ATR
-1.225
Dist Low ATR
1.315
21 pivots · 20 swings · Last pivot: ↑ 0.6492 @ bar 141

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 43%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum balanced
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.515
Strength Score 0.686
Quality Score 0.337
Cleanliness Score 0.184
Structural Quality 0.463
Pullback Score 1.000
Exhaustion Score 0.220
Continuation Score 0.515
Structure Score 0.671
Volatility Expansion 0.277
Momentum Type Score 0.559
Risk Score 0.501
Features
Ema20 Slope
-0.008
Ema50 Slope
-0.019
Ema Alignment Score
0.333
Price Vs Ema20
0.302
Price Vs Ema50
-0.057
Recent Hh Hl Score
0.722
Recent Lh Ll Score
0.278
Last Bos Direction
1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.631
Trend Efficiency
0.807
Impulse Strength
2.376
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.569
Pullback Depth Atr
2.651
Extension From Mean
-0.057
Impulse Decay Score
0.359
Opposing Wick Pressure
0.286
Volatility Percentile
0.200
Volatility Delta
-0.064
Body Ratio
0.409
Closes Position Ratio
0.424
Slope Consistency
0.000
Range Position
0.501
Distance To Recent High
-7.665
Distance To Recent Low
7.703
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7109ms Confidence avant OB : 93%100%

Order Book Imbalance

OBI Top 5 0.315
avg 0.322 ± 0.018
OBI Top 10 0.303

Microstructure

Mid Price
0.6051
Micro Price
0.6052
Spread
0.0711%

↑ Bid Wall (Support)

Price
0.6010
Size
134,911.40

↓ Ask Wall (Resistance)

Price
0.6080
Size
90,858.40

📌 Time Data

Start at Closed at Duration
04 Jun 2026
10:14:13
04 Jun 2026
16:25:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6055 0.5551 0.7315 2.5 0.2152
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 0.6055
  • Stop Loss: 0.5551
  • Take Profit: 0.7315

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5551 - 0.6055 = -0.0504

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6055 - 0.7315 = -0.126

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.126 / -0.0504 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
96.1194 96.1194 158.7439 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 -0.0504

Taille de position = 8 / -0.0504 = -158.73

Taille de position USD = -158.73 x 0.6055 = -96.11

Donc, tu peux acheter -158.73 avec un stoploss a 0.5551

Avec un position size USD de -96.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -158.73 x -0.0504 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -158.73 x -0.126 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -158.73
  • Taille de position USD -96.11
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
20.81 % 20 $
SL % Target SL $ Target
8.32 % 8 $
PNL PNL %
-8 $ -8.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-8.943 % 107.44 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00263
            [max_drawdown] => 0.02774
            [rr_ratio] => -0.09
            [high] => 0.60287000
            [low] => 0.57776000
            [mfe_pct] => -0.43
            [mae_pct] => 4.58
            [mfe_mae_ratio] => -0.09
            [candles_analyzed] => 24
            [start_at] => 2026-06-04T10:14:13-04:00
            [end_at] => 2026-06-04T12:14:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00263
            [max_drawdown] => 0.05415
            [rr_ratio] => -0.05
            [high] => 0.60287000
            [low] => 0.55135000
            [mfe_pct] => -0.43
            [mae_pct] => 8.94
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 84
            [start_at] => 2026-06-04T10:14:13-04:00
            [end_at] => 2026-06-04T17:14:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.61300000
            [high_after] => 0.60287000
            [low_before] => 0.57487000
            [low_after] => 0.56314000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#110 / 117 OUT
seuil : top 15 · score du 04/06/2026 10:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime