25 Aug 2026 at 15:12:14

Long Trade on MUU (BosPullback)

With 8.81 MUU at 29.106$ per unit. Take profit: 31.377 (7.8 %) & Stop Loss: 28.1976 (3.12 %)

Long BosPullback on MUU (25 Aug 2026 at 15:12:14 to 17:35:00 - 1 day )

With 8.8066 MUU at 29.106$ per unit.

Position size of 256.3235 $
Take profit at 31.377 (7.8 %) and Stop Loss at 28.1976 (3.12 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 3.16
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 15:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_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 normal bear_high
77%
25/08 19:00
15m ↔ neutral range range moderate grind compression range_high
47%
25/08 19:00
5m ↔ neutral transition bearish_transition moderate fading compression range_medium
47%
25/08 19:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=6|retests=1|break_atr=0.78|prog=0.46|zone=tested
  4. stop_price: 28.19758553
  5. tp_price: 31.37703617
  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 : 2.4432
  15. low_delta_atr : 2.3795
  16. current_swing_amp_atr : 2.812
  17. current_swing_speed : 2.81196
  18. current_swing_efficiency : 0.7487
  19. retracement_ratio : 0.5712
  20. extension_ratio : 1.0205
  21. compression_score : 0.9726
  22. swing_entropy : 1
  23. breakout_strength : -3.8481
  24. distance_to_last_high_atr : -1.7011
  25. distance_to_last_low_atr : 1.4686
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    28.253
  31. last_pivot_index:
    144
  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 : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.512
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5343
  49. scores_strength_score:
    0.7294
  50. scores_quality_score:
    0.3834
  51. scores_cleanliness_score:
    0.187
  52. scores_structural_quality:
    0.5442
  53. scores_pullback_score:
    0.5712
  54. scores_exhaustion_score:
    0.2787
  55. scores_continuation_score:
    0.7301
  56. scores_structure_score:
    0.6785
  57. scores_volatility_expansion:
    0.4675
  58. scores_momentum_type_score:
    0.6435
  59. scores_risk_score:
    0.3957
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0102
  62. features_ema50_slope:
    -0.0257
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.4794
  65. features_price_vs_ema50:
    -0.1644
  66. features_recent_hh_hl_score:
    0.65
  67. features_recent_lh_ll_score:
    0.35
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6261
  72. features_trend_efficiency:
    0.7487
  73. features_impulse_strength:
    5.1664
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5712
  76. features_pullback_depth_atr:
    2.9511
  77. features_extension_from_mean:
    -0.1644
  78. features_impulse_decay_score:
    0.4898
  79. features_opposing_wick_pressure:
    0.2735
  80. features_volatility_percentile:
    0.42
  81. features_volatility_delta:
    0.0233
  82. features_body_ratio:
    0.3445
  83. features_closes_position_ratio:
    0.5339
  84. features_slope_consistency:
    0.6961
  85. features_range_position:
    0.3957
  86. features_distance_to_recent_high:
    -7.2487
  87. features_distance_to_recent_low:
    4.746
  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 : -0.0322
  99. obi_top10 : -0.1277
  100. micro_price : 29.11236893
  101. spread_pct : 0.024049
  102. mid_price : 29.1105
  103. bid_wall_price : 28.8
  104. bid_wall_size : 23523.86
  105. bid_wall_dist_atr :
  106. ask_wall_price : 29.2
  107. ask_wall_size : 27253.478
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0001
  111. obi_top5_std : 0.0273
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6961
  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 15:00:00
        [price] => 31.535
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-08-20 18:00:00
        [price] => 30.415
        [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 18:30:00
        [price] => 28.675
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-25 00:15:00
        [price] => 26.871
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-25 00:45:00
        [price] => 27.73
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-25 01:15:00
        [price] => 27.239
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-25 02:30:00
        [price] => 28.175
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-25 02:45:00
        [price] => 27.649
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-25 06:15:00
        [price] => 29.107
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-25 08:00:00
        [price] => 28.387
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-25 10:00:00
        [price] => 29.707
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-25 11:00:00
        [price] => 28.934
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-25 12:15:00
        [price] => 29.495
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-25 13:00:00
        [price] => 28.872
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-25 13:30:00
        [price] => 30.094
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-25 14:15:00
        [price] => 28.253
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-25 15:30:00
        [price] => 29.408
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-25 18:30:00
        [price] => 28.526
        [kind] => low
        [label] => HL
    )
    
  159. bos_level_long : 28.675
  160. bos_level_short : 0
  161. strategy_details
  162. levels_hl_price:
    28.253
  163. levels_hl_timestamp: 2026-08-25 14:00:00
  164. levels_hh_price:
    30.094
  165. levels_lh_price:
    30.094
  166. levels_lh_timestamp: 2026-08-25 13:00:00
  167. levels_ll_price:
    28.253
  168. strategy_details
  169. demand_zone_top:
    27.969
  170. demand_zone_bottom:
    26.871
  171. demand_zone_mid:
    27.42
  172. demand_zone_freshness: tested
  173. demand_zone_strength:
    0.7317
  174. strategy_details
  175. supply_zone_top:
    30.042
  176. supply_zone_bottom:
    29.172
  177. supply_zone_mid:
    29.607
  178. supply_zone_freshness: tested
  179. supply_zone_strength:
    0.8126
  180. ¸
  181. regimes
  182. 1H : bear_high
  183. 15m : bull_high
  184. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 93%

Trend

Trend Strength
-0.037
Persistence
0.500
High Δ ATR
2.443
Low Δ ATR
2.380

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.
-3.848
Dist High ATR
-1.701
Dist Low ATR
1.469
24 pivots · 23 swings · Last pivot: ↓ 28.2530 @ bar 144

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 51%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum grind
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.534
Strength Score 0.729
Quality Score 0.383
Cleanliness Score 0.187
Structural Quality 0.544
Pullback Score 0.571
Exhaustion Score 0.279
Continuation Score 0.730
Structure Score 0.679
Volatility Expansion 0.468
Momentum Type Score 0.644
Risk Score 0.396
Features
Ema20 Slope
0.010
Ema50 Slope
-0.026
Ema Alignment Score
0.333
Price Vs Ema20
0.479
Price Vs Ema50
-0.164
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.626
Trend Efficiency
0.749
Impulse Strength
5.166
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.571
Pullback Depth Atr
2.951
Extension From Mean
-0.164
Impulse Decay Score
0.490
Opposing Wick Pressure
0.274
Volatility Percentile
0.420
Volatility Delta
0.023
Body Ratio
0.345
Closes Position Ratio
0.534
Slope Consistency
0.696
Range Position
0.396
Distance To Recent High
-7.249
Distance To Recent Low
4.746
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6961ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.032
avg 0.000 ± 0.027
OBI Top 10 -0.128

Microstructure

Mid Price
29.1105
Micro Price
29.1124
Spread
0.0240%

↑ Bid Wall (Support)

Price
28.8000
Size
23,523.86

↓ Ask Wall (Resistance)

Price
29.2000
Size
27,253.48

📌 Time Data

Start at Closed at Duration
25 Aug 2026
15:12:14
26 Aug 2026
17:35:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
29.106 28.1976 31.377 2.5 30.375
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 29.106
  • Stop Loss: 28.1976
  • Take Profit: 31.377

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 28.1976 - 29.106 = -0.9084

  • Récompense (distance jusqu'au take profit):

    E - TP = 29.106 - 31.377 = -2.271

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.271 / -0.9084 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
256.3235 100 8.8066 2.56
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 -0.9084

Taille de position = 8 / -0.9084 = -8.81

Taille de position USD = -8.81 x 29.106 = -256.42

Donc, tu peux acheter -8.81 avec un stoploss a 28.1976

Avec un position size USD de -256.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.81 x -0.9084 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.81 x -2.271 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -8.81
  • Taille de position USD -256.42
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
7.8 % 20 $
SL % Target SL $ Target
3.12 % 8 $
PNL PNL %
20 $ 7.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6386 % 84.54 % 32

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.335
            [max_drawdown] => 0.351
            [rr_ratio] => 0.95
            [high] => 29.44100000
            [low] => 28.75500000
            [mfe_pct] => 1.15
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.95
            [candles_analyzed] => 24
            [start_at] => 2026-08-25T15:12:14-04:00
            [end_at] => 2026-08-25T17:12:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.354
            [max_drawdown] => 0.537
            [rr_ratio] => 0.66
            [high] => 29.46000000
            [low] => 28.56900000
            [mfe_pct] => 1.22
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 84
            [start_at] => 2026-08-25T15:12:14-04:00
            [end_at] => 2026-08-25T22:12:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 29.40800000
            [high_after] => 29.46000000
            [low_before] => 28.52600000
            [low_after] => 28.61200000
            [is_new_high] => 1
            [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 25/08/2026 15:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime