05 Aug 2026 at 09:54:19

Long Trade on SNXX (BosPullback)

With 10.51 SNXX at 12.917$ per unit. Take profit: 14.8192 (14.73 %) & Stop Loss: 12.1561 (5.89 %)

Long BosPullback on SNXX (05 Aug 2026 at 09:54:19 to 10:20:00 - 25 minutes )

With 10.5141 SNXX at 12.917$ per unit.

Position size of 135.8111 $
Take profit at 14.8192 (14.73 %) and Stop Loss at 12.1561 (5.89 %)

That's a 2.5 RR Trade
Duration: 25 minutes

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.02
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_confirmed

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 ↔ neutral transition bearish_transition strong explosive expansion_after_compression bull_high_confirmed
73%
05/08 13:45

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=8|retests=1|break_atr=0.70|prog=0.38|zone=tested
  4. stop_price: 12.15611943
  5. tp_price: 14.81920141
  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 : pullback_up
  11. confidence : 0.614
  12. trend_strength : 0.3128
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2142
  15. low_delta_atr : 0.6179
  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 : -0.4035
  24. distance_to_last_high_atr : -1.6178
  25. distance_to_last_low_atr : 1.0071
  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 : early_expansion
  36. structure : bullish_transition
  37. breakout_state : breakout_retest
  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_early_expansion_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7508
  49. scores_strength_score:
    0.6555
  50. scores_quality_score:
    0.3268
  51. scores_cleanliness_score:
    0.2139
  52. scores_structural_quality:
    0.4192
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3527
  55. scores_continuation_score:
    0.5695
  56. scores_structure_score:
    0.7397
  57. scores_volatility_expansion:
    0.8887
  58. scores_momentum_type_score:
    0.6618
  59. scores_risk_score:
    0.8443
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0072
  62. features_ema50_slope:
    0.0483
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.4947
  65. features_price_vs_ema50:
    1.6572
  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:
    0.5721
  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:
    1.6572
  78. features_impulse_decay_score:
    0.353
  79. features_opposing_wick_pressure:
    0.2659
  80. features_volatility_percentile:
    0.92
  81. features_volatility_delta:
    0.205
  82. features_body_ratio:
    0.4485
  83. features_closes_position_ratio:
    0.5442
  84. features_slope_consistency:
    0.5795
  85. features_range_position:
    0.8443
  86. features_distance_to_recent_high:
    -1.4827
  87. features_distance_to_recent_low:
    8.041
  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 : -0.0843
  99. obi_top10 : -0.081
  100. micro_price : 12.75322355
  101. spread_pct : 0.039216
  102. mid_price : 12.7525
  103. bid_wall_price : 12.7
  104. bid_wall_size : 48007.982
  105. bid_wall_dist_atr :
  106. ask_wall_price : 12.8
  107. ask_wall_size : 51080.758
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0545
  111. obi_top5_std : 0.0263
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6980
  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_confirmed
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 61%

Trend

Trend Strength
0.313
Persistence
0.500
High Δ ATR
1.214
Low Δ ATR
0.618

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.
-0.404
Dist High ATR
-1.618
Dist Low ATR
1.007
25 pivots · 24 swings · Last pivot: ↑ 13.6760 @ bar 141

Trend Analyzer 1H

1H ↑ up up_early_expansion_balanced
Confidence 58%

Context

phase early_expansion
structure bullish_transition
breakout breakout_retest
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 0.214
Structural Quality 0.419
Pullback Score 1.000
Exhaustion Score 0.353
Continuation Score 0.570
Structure Score 0.740
Volatility Expansion 0.889
Momentum Type Score 0.662
Risk Score 0.844
Features
Ema20 Slope
-0.007
Ema50 Slope
0.048
Ema Alignment Score
1.000
Price Vs Ema20
0.495
Price Vs Ema50
1.657
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
0.572
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
1.657
Impulse Decay Score
0.353
Opposing Wick Pressure
0.266
Volatility Percentile
0.920
Volatility Delta
0.205
Body Ratio
0.449
Closes Position Ratio
0.544
Slope Consistency
0.580
Range Position
0.844
Distance To Recent High
-1.483
Distance To Recent Low
8.041
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6980ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.084
avg -0.055 ± 0.026
OBI Top 10 -0.081

Microstructure

Mid Price
12.7525
Micro Price
12.7532
Spread
0.0392%

↑ Bid Wall (Support)

Price
12.7000
Size
48,007.98

↓ Ask Wall (Resistance)

Price
12.8000
Size
51,080.76

📌 Time Data

Start at Closed at Duration
05 Aug 2026
09:54:19
05 Aug 2026
10:20:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.917 12.1561 14.8192 2.5 14.31
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 12.917
  • Stop Loss: 12.1561
  • Take Profit: 14.8192

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 12.1561 - 12.917 = -0.7609

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.917 - 14.8192 = -1.9022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.9022 / -0.7609 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
135.8111 100 10.5141 1.36
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 -0.7609

Taille de position = 8 / -0.7609 = -10.51

Taille de position USD = -10.51 x 12.917 = -135.76

Donc, tu peux acheter -10.51 avec un stoploss a 12.1561

Avec un position size USD de -135.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10.51 x -0.7609 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10.51 x -1.9022 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position -10.51
  • Taille de position USD -135.76
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
14.73 % 20 $
SL % Target SL $ Target
5.89 % 8 $
PNL PNL %
-8 $ -5.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.6502 % 112.89 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 14.8192
            [entry_price] => 12.917
            [stop_loss] => 12.08001
            [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] => 14.8192
            [entry_price] => 12.917
            [stop_loss] => 12.00392
            [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] => 14.8192
            [entry_price] => 12.917
            [stop_loss] => 11.92783
            [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] => 14.8192
            [entry_price] => 12.917
            [stop_loss] => 11.77565
            [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] => 0.028
            [max_drawdown] => 1.318
            [rr_ratio] => 0.02
            [high] => 12.94500000
            [low] => 11.59900000
            [mfe_pct] => 0.22
            [mae_pct] => 10.2
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2026-08-05T09:54:19-04:00
            [end_at] => 2026-08-05T11:54:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.028
            [max_drawdown] => 3.563
            [rr_ratio] => 0.01
            [high] => 12.94500000
            [low] => 9.35400000
            [mfe_pct] => 0.22
            [mae_pct] => 27.58
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2026-08-05T09:54:19-04:00
            [end_at] => 2026-08-05T16:54:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.98300000
            [high_after] => 12.94500000
            [low_before] => 11.75500000
            [low_after] => 11.54800000
            [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 09:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime