05 Aug 2026 at 11:24:20

Long Trade on SNXX (BosPullback)

With 8.12 SNXX at 12.51$ per unit. Take profit: 14.9727 (19.69 %) & Stop Loss: 11.5249 (7.87 %)

Long BosPullback on SNXX (05 Aug 2026 at 11:24:20 to 15:55:00 - 4 hours )

With 8.1211 SNXX at 12.51$ per unit.

Position size of 101.5949 $
Take profit at 14.9727 (19.69 %) and Stop Loss at 11.5249 (7.87 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.69
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 : bull_low

Score : 3

ml_regime : range_low

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

05/08 11:00

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 ↔ neutral range range moderate grind normal bull_high
78%
05/08 12:00
1h ↑ up early_expansion bullish_transition strong balanced expansion_after_compression bull_high
69%
05/08 15:00
15m ↔ neutral range range moderate balanced volatile_reversal range_high
41%
05/08 15:00
5m ↔ neutral range range moderate grind expansion range_high
49%
05/08 15:15

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=10|retests=1|break_atr=0.64|prog=0.43|zone=invalid
  4. stop_price: 11.5249115
  5. tp_price: 14.97272125
  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 : 1.1158
  15. low_delta_atr : -1.0264
  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 : -0.4586
  24. distance_to_last_high_atr : -1.9535
  25. distance_to_last_low_atr : 1.485
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    11.599
  31. last_pivot_index:
    148
  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 : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.483
  46. state : up_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.6382
  49. scores_strength_score:
    0.4782
  50. scores_quality_score:
    0.35
  51. scores_cleanliness_score:
    0.2298
  52. scores_structural_quality:
    0.4483
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1466
  55. scores_continuation_score:
    0.5863
  56. scores_structure_score:
    0.4743
  57. scores_volatility_expansion:
    0.976
  58. scores_momentum_type_score:
    0.5104
  59. scores_risk_score:
    0.7954
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0032
  62. features_ema50_slope:
    0.0406
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.0513
  65. features_price_vs_ema50:
    0.9939
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5405
  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:
    0.9939
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2385
  80. features_volatility_percentile:
    0.96
  81. features_volatility_delta:
    0.4483
  82. features_body_ratio:
    0.5161
  83. features_closes_position_ratio:
    0.5705
  84. features_slope_consistency:
    0.3328
  85. features_range_position:
    0.7954
  86. features_distance_to_recent_high:
    -1.7403
  87. features_distance_to_recent_low:
    6.7667
  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 : -0.1286
  99. obi_top10 : -0.1325
  100. micro_price : 12.49901387
  101. spread_pct : 0.03201
  102. mid_price : 12.498
  103. bid_wall_price : 12.4
  104. bid_wall_size : 34342.706
  105. bid_wall_dist_atr :
  106. ask_wall_price : 12.5
  107. ask_wall_size : 39308.784
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0844
  111. obi_top5_std : 0.0327
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6908
  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 15:45:00
        [price] => 12.399
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-04 17:30:00
        [price] => 13.039
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-04 19:30:00
        [price] => 12.512
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-04 20:00:00
        [price] => 13.011
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-04 21:30:00
        [price] => 12.792
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-04 22:00:00
        [price] => 12.309
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-05 00:00:00
        [price] => 13.002
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-05 01:15:00
        [price] => 12.219
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-05 05:00:00
        [price] => 13.676
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-05 07:30:00
        [price] => 12.769
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-05 08:00:00
        [price] => 13.194
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-05 08:30:00
        [price] => 12.208
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-05 09:45:00
        [price] => 12.664
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-05 10:45:00
        [price] => 11.91
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-05 11:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-05 12:00:00
        [price] => 12.109
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-05 12:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-05 13:30:00
        [price] => 11.755
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-05 13:45:00
        [price] => 12.983
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-08-05 14:30:00
        [price] => 11.599
        [kind] => low
        [label] => LL
    )
    
  163. bos_level_long : 13.002
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    11.599
  167. levels_hl_timestamp: 2026-08-05 14:00:00
  168. levels_hh_price:
    13.676
  169. levels_lh_price:
    13.676
  170. levels_lh_timestamp: 2026-08-05 05:00:00
  171. levels_ll_price:
    11.599
  172. demand_zone :
  173. supply_zone :
  174. ¸
  175. regimes
  176. 1H : bull_high
  177. 15m : range_high
  178. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 55%

Trend

Trend Strength
0.225
Persistence
0.500
High Δ ATR
1.116
Low Δ ATR
-1.026

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.
-0.459
Dist High ATR
-1.954
Dist Low ATR
1.485
26 pivots · 25 swings · Last pivot: ↓ 11.5990 @ bar 148

Trend Analyzer 1H

1H ↑ up up_range_balanced
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion_after_compression
risk premium
htf unknown
Scores
Direction Score 0.638
Strength Score 0.478
Quality Score 0.350
Cleanliness Score 0.230
Structural Quality 0.448
Pullback Score 1.000
Exhaustion Score 0.147
Continuation Score 0.586
Structure Score 0.474
Volatility Expansion 0.976
Momentum Type Score 0.510
Risk Score 0.795
Features
Ema20 Slope
-0.003
Ema50 Slope
0.041
Ema Alignment Score
1.000
Price Vs Ema20
0.051
Price Vs Ema50
0.994
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
-1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
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
0.994
Impulse Decay Score
0.000
Opposing Wick Pressure
0.239
Volatility Percentile
0.960
Volatility Delta
0.448
Body Ratio
0.516
Closes Position Ratio
0.571
Slope Consistency
0.333
Range Position
0.795
Distance To Recent High
-1.740
Distance To Recent Low
6.767
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6908ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.129
avg -0.084 ± 0.033
OBI Top 10 -0.133

Microstructure

Mid Price
12.4980
Micro Price
12.4990
Spread
0.0320%

↑ Bid Wall (Support)

Price
12.4000
Size
34,342.71

↓ Ask Wall (Resistance)

Price
12.5000
Size
39,308.78

📌 Time Data

Start at Closed at Duration
05 Aug 2026
11:24:20
05 Aug 2026
15:55:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.51 11.5249 14.9727 2.5 14.26
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 12.51
  • Stop Loss: 11.5249
  • Take Profit: 14.9727

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 11.5249 - 12.51 = -0.9851

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.51 - 14.9727 = -2.4627

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.4627 / -0.9851 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
101.5949 100 8.1211 1.02
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 -0.9851

Taille de position = 8 / -0.9851 = -8.12

Taille de position USD = -8.12 x 12.51 = -101.58

Donc, tu peux acheter -8.12 avec un stoploss a 11.5249

Avec un position size USD de -101.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8.12 x -0.9851 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8.12 x -2.4627 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -8.12
  • Taille de position USD -101.58
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
19.69 % 20 $
SL % Target SL $ Target
7.87 % 8 $
PNL PNL %
-8 $ -7.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.2726 % 117.75 % 20

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 14.9727
            [entry_price] => 12.51
            [stop_loss] => 11.42639
            [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] => 14.9727
            [entry_price] => 12.51
            [stop_loss] => 11.32788
            [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] => 14.9727
            [entry_price] => 12.51
            [stop_loss] => 11.22937
            [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] => 14.9727
            [entry_price] => 12.51
            [stop_loss] => 11.03235
            [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] => 0.255
            [max_drawdown] => 0.317
            [rr_ratio] => 0.8
            [high] => 12.76500000
            [low] => 12.19300000
            [mfe_pct] => 2.04
            [mae_pct] => 2.53
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 24
            [start_at] => 2026-08-05T11:24:20-04:00
            [end_at] => 2026-08-05T13:24:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.255
            [max_drawdown] => 3.156
            [rr_ratio] => 0.08
            [high] => 12.76500000
            [low] => 9.35400000
            [mfe_pct] => 2.04
            [mae_pct] => 25.23
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2026-08-05T11:24:20-04:00
            [end_at] => 2026-08-05T18:24:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.98300000
            [high_after] => 12.76500000
            [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
#6 / n/a OK
seuil : top 15 · score du 05/08/2026 11:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
3 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime