02 Aug 2026 at 22:06:13

Long Trade on MUU (BosPullback)

With 11.46 MUU at 24.897$ per unit. Take profit: 26.6421 (7.01 %) & Stop Loss: 24.199 (2.8 %)

Long BosPullback on MUU (02 Aug 2026 at 22:06:13 to 02:55:00 - 4 hours )

With 11.4606 MUU at 24.897$ per unit.

Position size of 285.3333 $
Take profit at 26.6421 (7.01 %) and Stop Loss at 24.199 (2.8 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.27
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 : range

rules_regime : range_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : range_high

rules_regime_4h : bear_medium

tf_aligned :

02/08 22:00

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate balanced normal bear_high
68%
01/08 04:00
1h ↔ neutral range range strong explosive expansion_after_compression range_high
48%
03/08 01:00
15m ↓ down transition bearish_transition moderate grind volatile_reversal range_high
40%
03/08 01:45
5m ↓ down range range moderate grind compression bear_high
69%
03/08 02:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.62
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=3|retests=1|break_atr=0.50|prog=0.36|zone=invalid|ob:ask_pressure(-0.10)
  4. stop_price: 24.19895327
  5. tp_price: 26.64211683
  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 : range
  11. confidence : 0.612
  12. trend_strength : 0.1941
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.6054
  15. low_delta_atr : -0.2672
  16. current_swing_amp_atr : 4.045
  17. current_swing_speed : 4.045
  18. current_swing_efficiency : 0.8835
  19. retracement_ratio : 1.0693
  20. extension_ratio : 1.8314
  21. compression_score : 1.1858
  22. swing_entropy : 1
  23. breakout_strength : -1.2187
  24. distance_to_last_high_atr : -2.639
  25. distance_to_last_low_atr : 1.4859
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    24.263
  31. last_pivot_index:
    147
  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 : explosive
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.469
  46. state : neutral_range_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5081
  49. scores_strength_score:
    0.8033
  50. scores_quality_score:
    0.316
  51. scores_cleanliness_score:
    0.1961
  52. scores_structural_quality:
    0.4142
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1479
  55. scores_continuation_score:
    0.5339
  56. scores_structure_score:
    0.369
  57. scores_volatility_expansion:
    0.892
  58. scores_momentum_type_score:
    0.7649
  59. scores_risk_score:
    0.5632
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0487
  62. features_ema50_slope:
    0.0462
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    -0.1184
  65. features_price_vs_ema50:
    0.5005
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6079
  72. features_trend_efficiency:
    0.8835
  73. features_impulse_strength:
    4.4556
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.0693
  76. features_pullback_depth_atr:
    4.7644
  77. features_extension_from_mean:
    0.5005
  78. features_impulse_decay_score:
    0.0843
  79. features_opposing_wick_pressure:
    0.2817
  80. features_volatility_percentile:
    0.82
  81. features_volatility_delta:
    0.3022
  82. features_body_ratio:
    0.4237
  83. features_closes_position_ratio:
    0.5944
  84. features_slope_consistency:
    0.8701
  85. features_range_position:
    0.5632
  86. features_distance_to_recent_high:
    -11.7356
  87. features_distance_to_recent_low:
    15.1317
  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 : -0.2641
  99. obi_top10 : -0.089
  100. micro_price : 24.8973388
  101. spread_pct : 0.052221
  102. mid_price : 24.9005
  103. bid_wall_price : 24.4
  104. bid_wall_size : 27893.03
  105. bid_wall_dist_atr :
  106. ask_wall_price : 25.2
  107. ask_wall_size : 38176.25
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.2567
  111. obi_top5_std : 0.0178
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6970
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-07-28 20:00:00
        [price] => 25.665
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-28 22:00:00
        [price] => 21.586
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-29 00:00:00
        [price] => 26.692
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-29 04:00:00
        [price] => 20.748
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-29 13:00:00
        [price] => 25.867
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-29 21:00:00
        [price] => 17.857
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-30 01:00:00
        [price] => 21.145
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-30 08:00:00
        [price] => 18.391
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-31 00:00:00
        [price] => 30.267
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-31 02:00:00
        [price] => 27.712
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-31 13:00:00
        [price] => 30.357
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-31 15:00:00
        [price] => 23.404
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-31 17:00:00
        [price] => 25.645
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-01 18:00:00
        [price] => 22.774
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-02 02:00:00
        [price] => 25.2
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-02 03:00:00
        [price] => 24.435
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-02 08:00:00
        [price] => 25.338
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-02 11:00:00
        [price] => 24.377
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-02 23:00:00
        [price] => 26.023
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-03 00:00:00
        [price] => 24.263
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-02 02:15:00
        [price] => 25.2
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-02 02:30:00
        [price] => 24.659
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-02 03:45:00
        [price] => 24.435
        [kind] => low
        [label] => LL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-02 08:30:00
        [price] => 25.338
        [kind] => high
        [label] => 
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-02 09:00:00
        [price] => 24.905
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-02 10:15:00
        [price] => 25.218
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-02 11:30:00
        [price] => 24.377
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-02 12:45:00
        [price] => 24.845
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-02 13:30:00
        [price] => 24.569
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-02 17:15:00
        [price] => 25.33
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-02 17:45:00
        [price] => 25.09
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-02 20:30:00
        [price] => 25.523
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-02 21:00:00
        [price] => 25.323
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-02 21:30:00
        [price] => 25.733
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-02 22:15:00
        [price] => 25.224
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-02 23:00:00
        [price] => 26.023
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-03 00:00:00
        [price] => 24.263
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-03 00:15:00
        [price] => 25.105
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 25.338
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    24.263
  165. levels_hl_timestamp: 2026-08-03 00:00:00
  166. levels_hh_price:
    26.023
  167. levels_lh_price:
    26.023
  168. levels_lh_timestamp: 2026-08-02 23:00:00
  169. levels_ll_price:
    24.263
  170. demand_zone :
  171. supply_zone :
  172. ¸
  173. regimes
  174. 1H : bull_high
  175. 15m : range_high
  176. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 22:06 24.89700000 0%
2 22:24 24.95200000 +0.221%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 61%

Trend

Trend Strength
0.194
Persistence
0.500
High Δ ATR
1.605
Low Δ ATR
-0.267

Current Swing

Amp ATR
4.045
Speed
4.045
Efficiency
0.884

Structure

Retracement
1.069
Extension
1.831
Compression
1.186
Entropy
1.000
Breakout Str.
-1.219
Dist High ATR
-2.639
Dist Low ATR
1.486
24 pivots · 23 swings · Last pivot: ↓ 24.2630 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_explosive
Confidence 47%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion_after_compression
risk mid_range
htf unknown
Scores
Direction Score 0.508
Strength Score 0.803
Quality Score 0.316
Cleanliness Score 0.196
Structural Quality 0.414
Pullback Score 1.000
Exhaustion Score 0.148
Continuation Score 0.534
Structure Score 0.369
Volatility Expansion 0.892
Momentum Type Score 0.765
Risk Score 0.563
Features
Ema20 Slope
0.049
Ema50 Slope
0.046
Ema Alignment Score
0.667
Price Vs Ema20
-0.118
Price Vs Ema50
0.501
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.608
Trend Efficiency
0.884
Impulse Strength
4.456
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.069
Pullback Depth Atr
4.764
Extension From Mean
0.501
Impulse Decay Score
0.084
Opposing Wick Pressure
0.282
Volatility Percentile
0.820
Volatility Delta
0.302
Body Ratio
0.424
Closes Position Ratio
0.594
Slope Consistency
0.870
Range Position
0.563
Distance To Recent High
-11.736
Distance To Recent Low
15.132
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6970ms Confidence avant OB : 72%62%

Order Book Imbalance

OBI Top 5 -0.264
avg -0.257 ± 0.018
OBI Top 10 -0.089

Microstructure

Mid Price
24.9005
Micro Price
24.8973
Spread
0.0522%

↑ Bid Wall (Support)

Price
24.4000
Size
27,893.03

↓ Ask Wall (Resistance)

Price
25.2000
Size
38,176.25

📌 Time Data

Start at Closed at Duration
02 Aug 2026
22:06:13
03 Aug 2026
02:55:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
24.897 24.199 26.6421 2.5 28.275
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 24.897
  • Stop Loss: 24.199
  • Take Profit: 26.6421

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 24.199 - 24.897 = -0.698

  • Récompense (distance jusqu'au take profit):

    E - TP = 24.897 - 26.6421 = -1.7451

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.7451 / -0.698 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
285.3333 100 11.4606 2.85
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 -0.698

Taille de position = 8 / -0.698 = -11.46

Taille de position USD = -11.46 x 24.897 = -285.32

Donc, tu peux acheter -11.46 avec un stoploss a 24.199

Avec un position size USD de -285.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11.46 x -0.698 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11.46 x -1.7451 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -11.46
  • Taille de position USD -285.32
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
7.01 % 20 $
SL % Target SL $ Target
2.8 % 8 $
PNL PNL %
-8 $ -2.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8236 % 100.71 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 26.6421
            [entry_price] => 24.897
            [stop_loss] => 24.1292
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-03 07:40:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 26.6421
            [entry_price] => 24.897
            [stop_loss] => 24.0594
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-03 08:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 26.6421
            [entry_price] => 24.897
            [stop_loss] => 23.9896
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-03 08:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 26.6421
            [entry_price] => 24.897
            [stop_loss] => 23.85
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-03 08:00:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.077000000000002
            [max_drawdown] => 0.25
            [rr_ratio] => 0.31
            [high] => 24.97400000
            [low] => 24.64700000
            [mfe_pct] => 0.31
            [mae_pct] => 1
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2026-08-02T22:06:13-04:00
            [end_at] => 2026-08-03T00:06:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.077000000000002
            [max_drawdown] => 2.27
            [rr_ratio] => 0.03
            [high] => 24.97400000
            [low] => 22.62700000
            [mfe_pct] => 0.31
            [mae_pct] => 9.12
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2026-08-02T22:06:13-04:00
            [end_at] => 2026-08-03T05:06:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 26.02300000
            [high_after] => 24.97400000
            [low_before] => 24.26300000
            [low_after] => 23.57900000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#5 / n/a OK
seuil : top 15 · score du 02/08/2026 22:00
Signal Confidence
62 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime