05 Aug 2026 at 13:48:20

Long Trade on SNXX (BosPullback)

With 7.47 SNXX at 12.611$ per unit. Take profit: 15.2884 (21.23 %) & Stop Loss: 11.5401 (8.49 %)

Long BosPullback on SNXX (05 Aug 2026 at 13:48:20 to 15:55:00 - 2 hours )

With 7.47 SNXX at 12.611$ per unit.

Position size of 94.2045 $
Take profit at 15.2884 (21.23 %) and Stop Loss at 11.5401 (8.49 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.05
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 : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_low

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

05/08 13:01

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 ↑ up range range strong balanced volatile_reversal bull_high_confirmed
71%
05/08 16:00
1h ↑ up range range moderate fading expansion_after_compression bull_high
71%
05/08 17:00
15m ↔ neutral range range moderate balanced expansion bull_high
72%
05/08 17:30
5m ↔ neutral range range moderate grind compression range_high
47%
05/08 17:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=12|retests=1|break_atr=0.66|prog=0.49|zone=invalid
  4. stop_price: 11.5400538
  5. tp_price: 15.2883655
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 0.551
  12. trend_strength : 0.2246
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.1609
  15. low_delta_atr : -1.0679
  16. current_swing_amp_atr : 3.4017
  17. current_swing_speed : 0.37797
  18. current_swing_efficiency : 0.2937
  19. retracement_ratio : 1.4255
  20. extension_ratio : 2.6526
  21. compression_score : 0.754
  22. swing_entropy : 1
  23. breakout_strength : -0.6752
  24. distance_to_last_high_atr : -1.8344
  25. distance_to_last_low_atr : 1.7431
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    11.599
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : fading
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.444
  46. state : up_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6401
  49. scores_strength_score:
    0.4782
  50. scores_quality_score:
    0.3388
  51. scores_cleanliness_score:
    0.2152
  52. scores_structural_quality:
    0.44
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1651
  55. scores_continuation_score:
    0.5815
  56. scores_structure_score:
    0.4743
  57. scores_volatility_expansion:
    0.8085
  58. scores_momentum_type_score:
    0.4399
  59. scores_risk_score:
    0.8154
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0096
  62. features_ema50_slope:
    0.0463
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.219
  65. features_price_vs_ema50:
    1.1897
  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:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5696
  72. features_trend_efficiency:
    0.2937
  73. features_impulse_strength:
    3.4017
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.4255
  76. features_pullback_depth_atr:
    4.3321
  77. features_extension_from_mean:
    1.1897
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.244
  80. features_volatility_percentile:
    0.92
  81. features_volatility_delta:
    0.0848
  82. features_body_ratio:
    0.4573
  83. features_closes_position_ratio:
    0.5864
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.8154
  86. features_distance_to_recent_high:
    -1.7313
  87. features_distance_to_recent_low:
    7.6455
  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 : -0.0078
  99. obi_top10 : -0.0078
  100. micro_price : 12.61110763
  101. spread_pct : 0.023793
  102. mid_price : 12.6105
  103. bid_wall_price : 12.6
  104. bid_wall_size : 48079.702
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0346
  111. obi_top5_std : 0.0177
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6929
  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] => 2026-07-31 17:00:00
        [price] => 10.355
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-08-01 00:00:00
        [price] => 9.011
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-08-01 11:00:00
        [price] => 9.552
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-08-01 16:00:00
        [price] => 8.956
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-08-02 02:00:00
        [price] => 9.803
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-08-02 12:00:00
        [price] => 9.414
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-08-02 17:00:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-08-02 22:00:00
        [price] => 9.503
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-08-03 01:00:00
        [price] => 10.13
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-08-03 08:00:00
        [price] => 9.121
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-08-03 09:00:00
        [price] => 9.593
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-08-03 13:00:00
        [price] => 7.908
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-04 00:00:00
        [price] => 11.175
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-04 01:00:00
        [price] => 10.076
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-04 17:00:00
        [price] => 13.039
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-04 20:00:00
        [price] => 11.876
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-05 00:00:00
        [price] => 13.002
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-05 01:00:00
        [price] => 12.219
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-05 05:00:00
        [price] => 13.676
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-05 14:00:00
        [price] => 11.599
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-04 17:30:00
        [price] => 13.039
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-04 19:30:00
        [price] => 12.512
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-04 20:00:00
        [price] => 13.011
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-04 21:30:00
        [price] => 12.792
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-04 22:00:00
        [price] => 12.309
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-05 00:00:00
        [price] => 13.002
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-05 01:15:00
        [price] => 12.219
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-05 05:00:00
        [price] => 13.676
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-05 07:30:00
        [price] => 12.769
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-05 08:00:00
        [price] => 13.194
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-05 08:30:00
        [price] => 12.208
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-05 09:45:00
        [price] => 12.664
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-05 10:45:00
        [price] => 11.91
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-05 11:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-05 12:00:00
        [price] => 12.109
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-05 12:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-05 13:30:00
        [price] => 11.755
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-05 13:45:00
        [price] => 12.983
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-05 14:30:00
        [price] => 11.599
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 13.002
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    11.599
  166. levels_hl_timestamp: 2026-08-05 14:00:00
  167. levels_hh_price:
    13.676
  168. levels_lh_price:
    13.676
  169. levels_lh_timestamp: 2026-08-05 05:00:00
  170. levels_ll_price:
    11.599
  171. demand_zone :
  172. supply_zone :
  173. ¸
  174. regimes
  175. 1H : bull_high
  176. 15m : range_high
  177. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 55%

Trend

Trend Strength
0.225
Persistence
0.500
High Δ ATR
1.161
Low Δ ATR
-1.068

Current Swing

Amp ATR
3.402
Speed
0.378
Efficiency
0.294

Structure

Retracement
1.426
Extension
2.653
Compression
0.754
Entropy
1.000
Breakout Str.
-0.675
Dist High ATR
-1.834
Dist Low ATR
1.743
24 pivots · 23 swings · Last pivot: ↓ 11.5990 @ bar 146

Trend Analyzer 1H

1H ↑ up up_range_fading
Confidence 44%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum fading
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.640
Strength Score 0.478
Quality Score 0.339
Cleanliness Score 0.215
Structural Quality 0.440
Pullback Score 1.000
Exhaustion Score 0.165
Continuation Score 0.582
Structure Score 0.474
Volatility Expansion 0.809
Momentum Type Score 0.440
Risk Score 0.815
Features
Ema20 Slope
0.010
Ema50 Slope
0.046
Ema Alignment Score
1.000
Price Vs Ema20
0.219
Price Vs Ema50
1.190
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.570
Trend Efficiency
0.294
Impulse Strength
3.402
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.426
Pullback Depth Atr
4.332
Extension From Mean
1.190
Impulse Decay Score
0.000
Opposing Wick Pressure
0.244
Volatility Percentile
0.920
Volatility Delta
0.085
Body Ratio
0.457
Closes Position Ratio
0.586
Slope Consistency
0.000
Range Position
0.815
Distance To Recent High
-1.731
Distance To Recent Low
7.646
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6929ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.008
avg -0.035 ± 0.018
OBI Top 10 -0.008

Microstructure

Mid Price
12.6105
Micro Price
12.6111
Spread
0.0238%

↑ Bid Wall (Support)

Price
12.6000
Size
48,079.70

📌 Time Data

Start at Closed at Duration
05 Aug 2026
13:48:20
05 Aug 2026
15:55:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.611 11.5401 15.2884 2.5 14.2
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 12.611
  • Stop Loss: 11.5401
  • Take Profit: 15.2884

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 11.5401 - 12.611 = -1.0709

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.611 - 15.2884 = -2.6774

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.6774 / -1.0709 = 2.5001

📌 Position Size

Amount Margin Quantity Leverage
94.2045 94.2045 7.47 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 -1.0709

Taille de position = 8 / -1.0709 = -7.47

Taille de position USD = -7.47 x 12.611 = -94.2

Donc, tu peux acheter -7.47 avec un stoploss a 11.5401

Avec un position size USD de -94.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7.47 x -1.0709 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7.47 x -2.6774 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -7.47
  • Taille de position USD -94.2
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5001

📌 Peformances

TP % Target TP $ Target
21.23 % 20 $
SL % Target SL $ Target
8.49 % 8 $
PNL PNL %
-8 $ -8.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.9992 % 117.75 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 15.2884
            [entry_price] => 12.611
            [stop_loss] => 11.43301
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-05 19:55:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 15.2884
            [entry_price] => 12.611
            [stop_loss] => 11.32592
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-05 20:00:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 15.2884
            [entry_price] => 12.611
            [stop_loss] => 11.21883
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-05 20:00:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 15.2884
            [entry_price] => 12.611
            [stop_loss] => 11.00465
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-05 20:00:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.042999999999999
            [max_drawdown] => 0.831
            [rr_ratio] => 0.05
            [high] => 12.65400000
            [low] => 11.78000000
            [mfe_pct] => 0.34
            [mae_pct] => 6.59
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2026-08-05T13:48:20-04:00
            [end_at] => 2026-08-05T15:48:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.042999999999999
            [max_drawdown] => 3.257
            [rr_ratio] => 0.01
            [high] => 12.65400000
            [low] => 9.35400000
            [mfe_pct] => 0.34
            [mae_pct] => 25.83
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2026-08-05T13:48:20-04:00
            [end_at] => 2026-08-05T20:48:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.98300000
            [high_after] => 12.65400000
            [low_before] => 11.59900000
            [low_after] => 9.35400000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#3 / n/a OK
seuil : top 15 · score du 05/08/2026 13:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime