25 Aug 2026 at 13:18:13

Long Trade on MUU (BosPullback)

With 12.94 MUU at 28.806$ per unit. Take profit: 30.352 (5.37 %) & Stop Loss: 28.1876 (2.15 %)

Long BosPullback on MUU (25 Aug 2026 at 13:18:13 to 16:55:00 - 1 day )

With 12.9366 MUU at 28.806$ per unit.

Position size of 372.6531 $
Take profit at 30.352 (5.37 %) and Stop Loss at 28.1876 (2.15 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 2.39
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_high

rules_regime_5m : range_low

Score : 1

ml_regime : range_high

rules_regime : bull_high_confirmed

rules_regime_4h : bull_high

tf_aligned : 1

25/08 13:01

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 ↓ down range range moderate grind normal bear_high
65%
25/08 16:00
1h ↔ neutral range range strong grind expansion bear_high
75%
25/08 17:00
15m ↔ neutral transition bearish_transition moderate fading expansion range_high
46%
25/08 17:00
5m ↓ down range range moderate fading compression bear_medium
71%
25/08 17:10

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=4|retests=1|break_atr=0.74|prog=0.30|zone=tested
  4. stop_price: 28.18760175
  5. tp_price: 30.35199562
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
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 : 0.926
  12. trend_strength : -0.0369
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.3116
  15. low_delta_atr : 2.2514
  16. current_swing_amp_atr : 2.8119
  17. current_swing_speed : 2.8119
  18. current_swing_efficiency : 0.7487
  19. retracement_ratio : 0.5712
  20. extension_ratio : 1.0205
  21. compression_score : 0.9728
  22. swing_entropy : 1
  23. breakout_strength : -3.1522
  24. distance_to_last_high_atr : -2.0982
  25. distance_to_last_low_atr : 0.9009
  26. pivot_count : 22
  27. swing_count : 21
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    28.253
  31. last_pivot_index:
    146
  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 : expansion
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.499
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4487
  49. scores_strength_score:
    0.7119
  50. scores_quality_score:
    0.3833
  51. scores_cleanliness_score:
    0.19
  52. scores_structural_quality:
    0.5415
  53. scores_pullback_score:
    0.5712
  54. scores_exhaustion_score:
    0.324
  55. scores_continuation_score:
    0.6823
  56. scores_structure_score:
    0.6712
  57. scores_volatility_expansion:
    0.6238
  58. scores_momentum_type_score:
    0.6505
  59. scores_risk_score:
    0.3509
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0194
  62. features_ema50_slope:
    -0.0221
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.007
  65. features_price_vs_ema50:
    -0.6719
  66. features_recent_hh_hl_score:
    0.6316
  67. features_recent_lh_ll_score:
    0.3684
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6201
  72. features_trend_efficiency:
    0.7487
  73. features_impulse_strength:
    5.1663
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.5712
  76. features_pullback_depth_atr:
    2.951
  77. features_extension_from_mean:
    -0.6719
  78. features_impulse_decay_score:
    0.4898
  79. features_opposing_wick_pressure:
    0.2772
  80. features_volatility_percentile:
    0.72
  81. features_volatility_delta:
    -0.0123
  82. features_body_ratio:
    0.3436
  83. features_closes_position_ratio:
    0.488
  84. features_slope_consistency:
    0.8216
  85. features_range_position:
    0.3509
  86. features_distance_to_recent_high:
    -6.9993
  87. features_distance_to_recent_low:
    3.7843
  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 : -0.1067
  99. obi_top10 : -0.0723
  100. micro_price : 28.798
  101. spread_pct : 0.013891
  102. mid_price : 28.798
  103. bid_wall_price : 28.7
  104. bid_wall_size : 28287.41
  105. bid_wall_dist_atr :
  106. ask_wall_price : 28.9
  107. ask_wall_size : 36482.362
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0891
  111. obi_top5_std : 0.0151
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6925
  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] => 2026-08-20 06:00:00
        [price] => 31.242
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-08-20 12:00:00
        [price] => 28.688
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-08-21 07:00:00
        [price] => 32.972
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-08-21 08:00:00
        [price] => 31.815
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-08-21 13:00:00
        [price] => 33.158
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-08-22 05:00:00
        [price] => 30.357
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-08-22 10:00:00
        [price] => 31.309
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-08-22 15:00:00
        [price] => 30.889
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-08-23 04:00:00
        [price] => 31.388
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-08-23 06:00:00
        [price] => 31.072
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-08-23 19:00:00
        [price] => 31.883
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-08-23 22:00:00
        [price] => 31.252
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-24 00:00:00
        [price] => 31.791
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-24 08:00:00
        [price] => 29.046
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-24 11:00:00
        [price] => 30.042
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-24 14:00:00
        [price] => 26.453
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-24 18:00:00
        [price] => 28.675
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-25 00:00:00
        [price] => 26.871
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-25 13:00:00
        [price] => 30.094
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-25 14:00:00
        [price] => 28.253
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-24 16:30:00
        [price] => 28.536
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-24 17:30:00
        [price] => 27.715
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-24 18:30:00
        [price] => 28.675
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-25 00:15:00
        [price] => 26.871
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-25 00:45:00
        [price] => 27.73
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-25 01:15:00
        [price] => 27.239
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-25 02:30:00
        [price] => 28.175
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-25 02:45:00
        [price] => 27.649
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-25 06:15:00
        [price] => 29.107
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-25 08:00:00
        [price] => 28.387
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-25 10:00:00
        [price] => 29.707
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-25 11:00:00
        [price] => 28.934
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-25 12:15:00
        [price] => 29.495
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-25 13:00:00
        [price] => 28.872
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-25 13:30:00
        [price] => 30.094
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-25 14:15:00
        [price] => 28.253
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-25 15:30:00
        [price] => 29.408
        [kind] => high
        [label] => LH
    )
    
  160. bos_level_long : 28.675
  161. bos_level_short : 0
  162. strategy_details
  163. levels_hl_price:
    28.253
  164. levels_hl_timestamp: 2026-08-25 14:00:00
  165. levels_hh_price:
    30.094
  166. levels_lh_price:
    30.094
  167. levels_lh_timestamp: 2026-08-25 13:00:00
  168. levels_ll_price:
    28.253
  169. strategy_details
  170. demand_zone_top:
    27.969
  171. demand_zone_bottom:
    26.871
  172. demand_zone_mid:
    27.42
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.7317
  175. strategy_details
  176. supply_zone_top:
    30.042
  177. supply_zone_bottom:
    29.172
  178. supply_zone_mid:
    29.607
  179. supply_zone_freshness: tested
  180. supply_zone_strength:
    0.8126
  181. ¸
  182. regimes
  183. 1H : bear_high
  184. 15m : range_high
  185. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 93%

Trend

Trend Strength
-0.037
Persistence
0.500
High Δ ATR
2.312
Low Δ ATR
2.251

Current Swing

Amp ATR
2.812
Speed
2.812
Efficiency
0.749

Structure

Retracement
0.571
Extension
1.021
Compression
0.973
Entropy
1.000
Breakout Str.
-3.152
Dist High ATR
-2.098
Dist Low ATR
0.901
22 pivots · 21 swings · Last pivot: ↓ 28.2530 @ bar 146

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum balanced
volatility expansion
risk mid_range
htf unknown
Scores
Direction Score 0.449
Strength Score 0.712
Quality Score 0.383
Cleanliness Score 0.190
Structural Quality 0.542
Pullback Score 0.571
Exhaustion Score 0.324
Continuation Score 0.682
Structure Score 0.671
Volatility Expansion 0.624
Momentum Type Score 0.651
Risk Score 0.351
Features
Ema20 Slope
0.019
Ema50 Slope
-0.022
Ema Alignment Score
0.000
Price Vs Ema20
-0.007
Price Vs Ema50
-0.672
Recent Hh Hl Score
0.632
Recent Lh Ll Score
0.368
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.620
Trend Efficiency
0.749
Impulse Strength
5.166
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.571
Pullback Depth Atr
2.951
Extension From Mean
-0.672
Impulse Decay Score
0.490
Opposing Wick Pressure
0.277
Volatility Percentile
0.720
Volatility Delta
-0.012
Body Ratio
0.344
Closes Position Ratio
0.488
Slope Consistency
0.822
Range Position
0.351
Distance To Recent High
-6.999
Distance To Recent Low
3.784
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6925ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.107
avg -0.089 ± 0.015
OBI Top 10 -0.072

Microstructure

Mid Price
28.7980
Micro Price
28.7980
Spread
0.0139%

↑ Bid Wall (Support)

Price
28.7000
Size
28,287.41

↓ Ask Wall (Resistance)

Price
28.9000
Size
36,482.36

📌 Time Data

Start at Closed at Duration
25 Aug 2026
13:18:13
26 Aug 2026
16:55:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
28.806 28.1876 30.352 2.5 30.018
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 28.806
  • Stop Loss: 28.1876
  • Take Profit: 30.352

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 28.1876 - 28.806 = -0.6184

  • Récompense (distance jusqu'au take profit):

    E - TP = 28.806 - 30.352 = -1.546

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.546 / -0.6184 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
372.6531 100 12.9366 3.73
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 -0.6184

Taille de position = 8 / -0.6184 = -12.94

Taille de position USD = -12.94 x 28.806 = -372.75

Donc, tu peux acheter -12.94 avec un stoploss a 28.1876

Avec un position size USD de -372.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -12.94 x -0.6184 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -12.94 x -1.546 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -12.94
  • Taille de position USD -372.75
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.37 % 20 $
SL % Target SL $ Target
2.15 % 8 $
PNL PNL %
20 $ 5.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6247 % 75.68 % 46

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.344
            [max_drawdown] => 0.28
            [rr_ratio] => 1.23
            [high] => 29.15000000
            [low] => 28.52600000
            [mfe_pct] => 1.19
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 1.23
            [candles_analyzed] => 24
            [start_at] => 2026-08-25T13:18:13-04:00
            [end_at] => 2026-08-25T15:18:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.654
            [max_drawdown] => 0.28
            [rr_ratio] => 2.34
            [high] => 29.46000000
            [low] => 28.52600000
            [mfe_pct] => 2.27
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 2.34
            [candles_analyzed] => 84
            [start_at] => 2026-08-25T13:18:13-04:00
            [end_at] => 2026-08-25T20:18:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 30.09400000
            [high_after] => 29.44900000
            [low_before] => 28.25300000
            [low_after] => 28.52600000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#10 / n/a OK
seuil : top 15 · score du 25/08/2026 13:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime