03 Aug 2026 at 01:30:51

Long Trade on SNXX (BosPullback)

With 20.43 SNXX at 9.867$ per unit. Take profit: 10.846 (9.92 %) & Stop Loss: 9.4754 (3.97 %)

Long BosPullback on SNXX (03 Aug 2026 at 01:30:51 to 04:00:00 - 2 hours )

With 20.4298 SNXX at 9.867$ per unit.

Position size of 201.5807 $
Take profit at 10.846 (9.92 %) and Stop Loss at 9.4754 (3.97 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.49
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 : bear_low_vol

rules_regime : bear_low

rules_regime_5m : bear_low

Score : 0

ml_regime : range_high

rules_regime : range_high

rules_regime_4h : bear_medium

tf_aligned :

03/08 01:01

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 ↓ down transition bearish_transition strong balanced compression bear_high
68%
03/08 04:00
1h ↑ up transition bullish_transition moderate grind volatile_reversal bull_high
62%
03/08 05:00
15m ↑ up transition bullish_transition moderate balanced compression bull_high
78%
03/08 05:30
5m ↓ down transition bearish_transition strong explosive normal range_high
50%
03/08 05:20

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=4|retests=1|break_atr=0.45|prog=0.58|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 9.47541493
  5. tp_price: 10.84596268
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 0.457
  12. trend_strength : 0.1672
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.1204
  15. low_delta_atr : 0.3749
  16. current_swing_amp_atr : 2.5712
  17. current_swing_speed : 0.85708
  18. current_swing_efficiency : 0.3819
  19. retracement_ratio : 1.7368
  20. extension_ratio : 1.3933
  21. compression_score : 0.9499
  22. swing_entropy : 1
  23. breakout_strength : 0.0126
  24. distance_to_last_high_atr : -1.1078
  25. distance_to_last_low_atr : 1.5332
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    10.13
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.513
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7217
  49. scores_strength_score:
    0.4847
  50. scores_quality_score:
    0.2885
  51. scores_cleanliness_score:
    0.1816
  52. scores_structural_quality:
    0.3758
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2829
  55. scores_continuation_score:
    0.5788
  56. scores_structure_score:
    0.6743
  57. scores_volatility_expansion:
    0.868
  58. scores_momentum_type_score:
    0.5573
  59. scores_risk_score:
    0.5641
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0774
  62. features_ema50_slope:
    0.0473
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.459
  65. features_price_vs_ema50:
    0.9118
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6367
  72. features_trend_efficiency:
    0.3819
  73. features_impulse_strength:
    2.5712
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.7368
  76. features_pullback_depth_atr:
    3.3619
  77. features_extension_from_mean:
    0.9118
  78. features_impulse_decay_score:
    0.3034
  79. features_opposing_wick_pressure:
    0.3269
  80. features_volatility_percentile:
    0.78
  81. features_volatility_delta:
    0.4665
  82. features_body_ratio:
    0.4083
  83. features_closes_position_ratio:
    0.5054
  84. features_slope_consistency:
    0.8477
  85. features_range_position:
    0.5641
  86. features_distance_to_recent_high:
    -11.1308
  87. features_distance_to_recent_low:
    14.4034
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : 0.2039
  99. obi_top10 : -0.1673
  100. micro_price : 9.89995502
  101. spread_pct : 0.030312
  102. mid_price : 9.8985
  103. bid_wall_price : 9.79
  104. bid_wall_size : 8048.048
  105. bid_wall_dist_atr :
  106. ask_wall_price : 10
  107. ask_wall_size : 8369.696
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1898
  111. obi_top5_std : 0.0445
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7309
  115. aggregation_tick : 0.01
  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] => 2026-07-29 16:00:00
        [price] => 6.588
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-29 19:00:00
        [price] => 8.418
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-29 21:00:00
        [price] => 6.214
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-30 01:00:00
        [price] => 7.538
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-30 08:00:00
        [price] => 6.565
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-31 01:00:00
        [price] => 12.69
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-31 02:00:00
        [price] => 11.232
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-31 06:00:00
        [price] => 12.466
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-31 08:00:00
        [price] => 10.812
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-31 13:00:00
        [price] => 12.482
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-31 14:00:00
        [price] => 8.94
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-31 17:00:00
        [price] => 10.355
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-08-01 00:00:00
        [price] => 9.011
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-08-01 11:00:00
        [price] => 9.552
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-08-01 16:00:00
        [price] => 8.956
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-08-02 02:00:00
        [price] => 9.803
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-08-02 12:00:00
        [price] => 9.414
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-08-02 17:00:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-08-02 22:00:00
        [price] => 9.503
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-08-03 01:00:00
        [price] => 10.13
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-08-02 06:30:00
        [price] => 9.719
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-08-02 07:00:00
        [price] => 9.579
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-08-02 08:15:00
        [price] => 9.794
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-08-02 09:15:00
        [price] => 9.55
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-08-02 10:15:00
        [price] => 9.7
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-08-02 11:30:00
        [price] => 9.421
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-08-02 11:45:00
        [price] => 9.565
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-08-02 12:45:00
        [price] => 9.637
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-08-02 14:00:00
        [price] => 9.455
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-08-02 17:15:00
        [price] => 9.864
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-08-02 18:45:00
        [price] => 9.672
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-08-02 20:30:00
        [price] => 9.818
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-08-02 21:15:00
        [price] => 9.65
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-08-02 21:30:00
        [price] => 9.763
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-08-02 23:00:00
        [price] => 9.874
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-08-03 00:00:00
        [price] => 9.401
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-08-03 00:15:00
        [price] => 9.886
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-08-03 01:30:00
        [price] => 9.722
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-08-03 02:15:00
        [price] => 10.073
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 9.864
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    9.503
  166. levels_hl_timestamp: 2026-08-02 22:00:00
  167. levels_hh_price:
    10.13
  168. levels_lh_price:
    10.13
  169. levels_lh_timestamp: 2026-08-03 01:00:00
  170. levels_ll_price:
    9.503
  171. strategy_details
  172. demand_zone_top:
    9.722
  173. demand_zone_bottom:
    9.414
  174. demand_zone_mid:
    9.568
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8303
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 01:30 9.86700000 0%
2 02:24 9.91200000 +0.456%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 46%

Trend

Trend Strength
0.167
Persistence
0.500
High Δ ATR
1.120
Low Δ ATR
0.375

Current Swing

Amp ATR
2.571
Speed
0.857
Efficiency
0.382

Structure

Retracement
1.737
Extension
1.393
Compression
0.950
Entropy
1.000
Breakout Str.
0.013
Dist High ATR
-1.108
Dist Low ATR
1.533
29 pivots · 28 swings · Last pivot: ↑ 10.1300 @ bar 145

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 51%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.722
Strength Score 0.485
Quality Score 0.289
Cleanliness Score 0.182
Structural Quality 0.376
Pullback Score 1.000
Exhaustion Score 0.283
Continuation Score 0.579
Structure Score 0.674
Volatility Expansion 0.868
Momentum Type Score 0.557
Risk Score 0.564
Features
Ema20 Slope
0.077
Ema50 Slope
0.047
Ema Alignment Score
1.000
Price Vs Ema20
0.459
Price Vs Ema50
0.912
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.637
Trend Efficiency
0.382
Impulse Strength
2.571
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.737
Pullback Depth Atr
3.362
Extension From Mean
0.912
Impulse Decay Score
0.303
Opposing Wick Pressure
0.327
Volatility Percentile
0.780
Volatility Delta
0.467
Body Ratio
0.408
Closes Position Ratio
0.505
Slope Consistency
0.848
Range Position
0.564
Distance To Recent High
-11.131
Distance To Recent Low
14.403
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7309ms Confidence avant OB : 93%100%

Order Book Imbalance

OBI Top 5 0.204
avg 0.190 ± 0.045
OBI Top 10 -0.167

Microstructure

Mid Price
9.8985
Micro Price
9.9000
Spread
0.0303%

↑ Bid Wall (Support)

Price
9.7900
Size
8,048.05

↓ Ask Wall (Resistance)

Price
10.0000
Size
8,369.70

📌 Time Data

Start at Closed at Duration
03 Aug 2026
01:30:51
03 Aug 2026
04:00:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.867 9.4754 10.846 2.5 13.966
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 9.867
  • Stop Loss: 9.4754
  • Take Profit: 10.846

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.4754 - 9.867 = -0.3916

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.867 - 10.846 = -0.979

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.979 / -0.3916 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
201.5807 100 20.4298 2.02
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 -0.3916

Taille de position = 8 / -0.3916 = -20.43

Taille de position USD = -20.43 x 9.867 = -201.58

Donc, tu peux acheter -20.43 avec un stoploss a 9.4754

Avec un position size USD de -201.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20.43 x -0.3916 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20.43 x -0.979 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -20.43
  • Taille de position USD -201.58
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
9.92 % 20 $
SL % Target SL $ Target
3.97 % 8 $
PNL PNL %
-8 $ -3.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.3174 % 108.78 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 10.846
            [entry_price] => 9.867
            [stop_loss] => 9.43624
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-08-03 08:15:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 10.846
            [entry_price] => 9.867
            [stop_loss] => 9.39708
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-08-03 08:15:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 10.846
            [entry_price] => 9.867
            [stop_loss] => 9.35792
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-08-03 08:15:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 10.846
            [entry_price] => 9.867
            [stop_loss] => 9.2796
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-08-03 08:20:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.102
            [max_drawdown] => 0.183
            [rr_ratio] => 0.56
            [high] => 9.96900000
            [low] => 9.68400000
            [mfe_pct] => 1.03
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2026-08-03T01:30:51-04:00
            [end_at] => 2026-08-03T03:30:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.102
            [max_drawdown] => 1.531
            [rr_ratio] => 0.07
            [high] => 9.96900000
            [low] => 8.33600000
            [mfe_pct] => 1.03
            [mae_pct] => 15.52
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2026-08-03T01:30:51-04:00
            [end_at] => 2026-08-03T08:30:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 10.07300000
            [high_after] => 9.96900000
            [low_before] => 9.68900000
            [low_after] => 8.51700000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#5 / n/a OK
seuil : top 15 · score du 03/08/2026 01:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime