05 Aug 2026 at 09:48:20

Long Trade on SNXX (BosPullback)

With 12.2 SNXX at 12.813$ per unit. Take profit: 14.4527 (12.8 %) & Stop Loss: 12.1571 (5.12 %)

Long BosPullback on SNXX (05 Aug 2026 at 09:48:20 to 10:20:00 - 31 minutes )

With 12.1973 SNXX at 12.813$ per unit.

Position size of 156.2846 $
Take profit at 14.4527 (12.8 %) and Stop Loss at 12.1571 (5.12 %)

That's a 2.5 RR Trade
Duration: 31 minutes

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.14
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_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_low

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

05/08 09:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_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 transition bullish_transition strong grind compression bull_high
69%
05/08 13:00
15m ↓ down range range moderate grind expansion_after_compression bear_high
71%
05/08 13:30
5m ↓ down early_expansion bearish_transition strong explosive expansion_after_compression bear_high
75%
05/08 13:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=8|retests=1|break_atr=0.70|prog=0.41|zone=tested
  4. stop_price: 12.15711943
  5. tp_price: 14.45270141
  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 : pullback_up
  11. confidence : 0.619
  12. trend_strength : 0.3128
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2267
  15. low_delta_atr : 0.6243
  16. current_swing_amp_atr : 3.039
  17. current_swing_speed : 0.75976
  18. current_swing_efficiency : 0.7199
  19. retracement_ratio : 1.8608
  20. extension_ratio : 1.294
  21. compression_score : 0.6445
  22. swing_entropy : 1
  23. breakout_strength : -0.344
  24. distance_to_last_high_atr : -1.5707
  25. distance_to_last_low_atr : 1.0811
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    13.676
  31. last_pivot_index:
    141
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : none
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.576
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.751
  49. scores_strength_score:
    0.6555
  50. scores_quality_score:
    0.3274
  51. scores_cleanliness_score:
    0.2152
  52. scores_structural_quality:
    0.4192
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3591
  55. scores_continuation_score:
    0.5677
  56. scores_structure_score:
    0.7397
  57. scores_volatility_expansion:
    0.8627
  58. scores_momentum_type_score:
    0.6647
  59. scores_risk_score:
    0.8504
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0062
  62. features_ema50_slope:
    0.0496
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.5567
  65. features_price_vs_ema50:
    1.743
  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:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5695
  72. features_trend_efficiency:
    0.7199
  73. features_impulse_strength:
    3.039
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.8608
  76. features_pullback_depth_atr:
    2.859
  77. features_extension_from_mean:
    1.743
  78. features_impulse_decay_score:
    0.353
  79. features_opposing_wick_pressure:
    0.2615
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    0.184
  82. features_body_ratio:
    0.452
  83. features_closes_position_ratio:
    0.5486
  84. features_slope_consistency:
    0.5814
  85. features_range_position:
    0.8504
  86. features_distance_to_recent_high:
    -1.4502
  87. features_distance_to_recent_low:
    8.2422
  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 : -0.0127
  99. obi_top10 : -0.0071
  100. micro_price : 12.86519309
  101. spread_pct : 0.046653
  102. mid_price : 12.864
  103. bid_wall_price : 12.8
  104. bid_wall_size : 30072.846
  105. bid_wall_dist_atr :
  106. ask_wall_price : 13
  107. ask_wall_size : 30652.576
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0368
  111. obi_top5_std : 0.1272
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7012
  115. aggregation_tick : 0.1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_up
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-07-31 14:00:00
        [price] => 8.94
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-31 17:00:00
        [price] => 10.355
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-08-01 00:00:00
        [price] => 9.011
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-08-01 11:00:00
        [price] => 9.552
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-08-01 16:00:00
        [price] => 8.956
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-08-02 02:00:00
        [price] => 9.803
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-08-02 12:00:00
        [price] => 9.414
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-08-02 17:00:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-08-02 22:00:00
        [price] => 9.503
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-08-03 01:00:00
        [price] => 10.13
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-08-03 08:00:00
        [price] => 9.121
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-08-03 09:00:00
        [price] => 9.593
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-03 13:00:00
        [price] => 7.908
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-04 00:00:00
        [price] => 11.175
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-04 01:00:00
        [price] => 10.076
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-04 17:00:00
        [price] => 13.039
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-04 20:00:00
        [price] => 11.876
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-05 00:00:00
        [price] => 13.002
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-05 01:00:00
        [price] => 12.219
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-05 05:00:00
        [price] => 13.676
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-04 13:45:00
        [price] => 12.523
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-04 14:15:00
        [price] => 11.8
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-04 17:30:00
        [price] => 13.039
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-04 19:30:00
        [price] => 12.512
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-04 20:00:00
        [price] => 13.011
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-04 21:30:00
        [price] => 12.792
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-04 22:00:00
        [price] => 12.309
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-05 00:00:00
        [price] => 13.002
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-05 01:15:00
        [price] => 12.219
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-05 05:00:00
        [price] => 13.676
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-05 07:30:00
        [price] => 12.769
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-05 08:00:00
        [price] => 13.194
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-05 08:30:00
        [price] => 12.208
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-05 09:45:00
        [price] => 12.664
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-05 10:45:00
        [price] => 11.91
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-05 11:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-05 12:00:00
        [price] => 12.109
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-05 12:30:00
        [price] => 12.544
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-05 13:30:00
        [price] => 11.755
        [kind] => low
        [label] => LL
    )
    
  162. bos_level_long : 13.002
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    12.219
  166. levels_hl_timestamp: 2026-08-05 01:00:00
  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:
    12.219
  171. strategy_details
  172. demand_zone_top:
    13.002
  173. demand_zone_bottom:
    12.16
  174. demand_zone_mid:
    12.581
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8731
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 62%

Trend

Trend Strength
0.313
Persistence
0.500
High Δ ATR
1.227
Low Δ ATR
0.624

Current Swing

Amp ATR
3.039
Speed
0.760
Efficiency
0.720

Structure

Retracement
1.861
Extension
1.294
Compression
0.645
Entropy
1.000
Breakout Str.
-0.344
Dist High ATR
-1.571
Dist Low ATR
1.081
25 pivots · 24 swings · Last pivot: ↑ 13.6760 @ bar 141

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 58%

Context

phase transition
structure bullish_transition
breakout none
quality volatile
strength strong
exhaustion low
momentum balanced
volatility expansion_after_compression
risk approaching_resistance
htf unknown
Scores
Direction Score 0.751
Strength Score 0.656
Quality Score 0.327
Cleanliness Score 0.215
Structural Quality 0.419
Pullback Score 1.000
Exhaustion Score 0.359
Continuation Score 0.568
Structure Score 0.740
Volatility Expansion 0.863
Momentum Type Score 0.665
Risk Score 0.850
Features
Ema20 Slope
-0.006
Ema50 Slope
0.050
Ema Alignment Score
1.000
Price Vs Ema20
0.557
Price Vs Ema50
1.743
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.570
Trend Efficiency
0.720
Impulse Strength
3.039
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.861
Pullback Depth Atr
2.859
Extension From Mean
1.743
Impulse Decay Score
0.353
Opposing Wick Pressure
0.262
Volatility Percentile
0.900
Volatility Delta
0.184
Body Ratio
0.452
Closes Position Ratio
0.549
Slope Consistency
0.581
Range Position
0.850
Distance To Recent High
-1.450
Distance To Recent Low
8.242
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7012ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.013
avg 0.037 ± 0.127
OBI Top 10 -0.007

Microstructure

Mid Price
12.8640
Micro Price
12.8652
Spread
0.0467%

↑ Bid Wall (Support)

Price
12.8000
Size
30,072.85

↓ Ask Wall (Resistance)

Price
13.0000
Size
30,652.58

📌 Time Data

Start at Closed at Duration
05 Aug 2026
09:48:20
05 Aug 2026
10:20:00
31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.813 12.1571 14.4527 2.5 14.277
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 12.813
  • Stop Loss: 12.1571
  • Take Profit: 14.4527

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 12.1571 - 12.813 = -0.6559

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.813 - 14.4527 = -1.6397

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.6397 / -0.6559 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
156.2846 100 12.1973 1.56
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 -0.6559

Taille de position = 8 / -0.6559 = -12.2

Taille de position USD = -12.2 x 12.813 = -156.32

Donc, tu peux acheter -12.2 avec un stoploss a 12.1571

Avec un position size USD de -156.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -12.2 x -0.6559 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -12.2 x -1.6397 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -12.2
  • Taille de position USD -156.32
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
12.8 % 20 $
SL % Target SL $ Target
5.12 % 8 $
PNL PNL %
-8 $ -5.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.8925 % 115.11 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 14.4527
            [entry_price] => 12.813
            [stop_loss] => 12.09151
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-05 14:20:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 14.4527
            [entry_price] => 12.813
            [stop_loss] => 12.02592
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-05 14:30:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 14.4527
            [entry_price] => 12.813
            [stop_loss] => 11.96033
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-05 14:30:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 14.4527
            [entry_price] => 12.813
            [stop_loss] => 11.82915
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-05 14:35:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.17
            [max_drawdown] => 1.214
            [rr_ratio] => 0.14
            [high] => 12.98300000
            [low] => 11.59900000
            [mfe_pct] => 1.33
            [mae_pct] => 9.47
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2026-08-05T09:48:20-04:00
            [end_at] => 2026-08-05T11:48:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.17
            [max_drawdown] => 3.459
            [rr_ratio] => 0.05
            [high] => 12.98300000
            [low] => 9.35400000
            [mfe_pct] => 1.33
            [mae_pct] => 27
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2026-08-05T09:48:20-04:00
            [end_at] => 2026-08-05T16:48:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.97400000
            [high_after] => 12.98300000
            [low_before] => 11.75500000
            [low_after] => 11.59900000
            [is_new_high] => 1
            [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 09:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime