13 Oct 2026 at 22:02:53

Long Trade on SNXX (BosPullback)

With 19.55 SNXX at 12.068$ per unit. Take profit: 13.687 (13.42 %) & Stop Loss: 11.6588 (3.39 %)

Long BosPullback on SNXX (13 Oct 2026 at 22:02:53 to 01:00:00 - 2 hours )

With 19.549 SNXX at 12.068$ per unit.

Position size of 235.9173 $
Take profit at 13.687 (13.42 %) and Stop Loss at 11.6588 (3.39 %)

That's a 3.96 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.07
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 : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : range_medium

tf_aligned :

13/10 21:04

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down early_expansion bearish_transition moderate balanced expansion_after_compression bear_high_confirmed
70%
14/10 00:00
1h ↔ neutral range range strong balanced normal bear_high
78%
14/10 01:00
15m ↑ up range range moderate balanced normal bull_high
74%
14/10 02:00
5m ↔ neutral range range moderate grind expansion bull_medium
71%
14/10 01:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=2|retests=1|break_atr=1.53|prog=0.59|zone=invalid
  4. stop_price: 11.65877182
  5. tp_price: 13.687
  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 : range
  11. confidence : 0.413
  12. trend_strength : 0.2937
  13. trend_persistence : 0.6667
  14. high_delta_atr : 2.3328
  15. low_delta_atr : -0.7487
  16. current_swing_amp_atr : 2.208
  17. current_swing_speed : 0.2208
  18. current_swing_efficiency : 0.192
  19. retracement_ratio :
  20. extension_ratio : 0.6482
  21. compression_score : 1.3356
  22. swing_entropy : 0.9183
  23. breakout_strength : 2.1809
  24. distance_to_last_high_atr : -0.9512
  25. distance_to_last_low_atr : 4.9803
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    12.331
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  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 : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.352
  46. state : neutral_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5447
  49. scores_strength_score:
    0.4234
  50. scores_quality_score:
    0.3455
  51. scores_cleanliness_score:
    0.2249
  52. scores_structural_quality:
    0.4442
  53. scores_pullback_score:
    0
  54. scores_exhaustion_score:
    0.3575
  55. scores_continuation_score:
    0.4856
  56. scores_structure_score:
    0.6164
  57. scores_volatility_expansion:
    0.392
  58. scores_momentum_type_score:
    0.4577
  59. scores_risk_score:
    0.3287
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1485
  62. features_ema50_slope:
    -0.0065
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    1.1123
  65. features_price_vs_ema50:
    -0.1845
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5502
  72. features_trend_efficiency:
    0.192
  73. features_impulse_strength:
    3.1756
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0
  76. features_pullback_depth_atr:
    0
  77. features_extension_from_mean:
    -0.1845
  78. features_impulse_decay_score:
    0.6759
  79. features_opposing_wick_pressure:
    0.284
  80. features_volatility_percentile:
    0.32
  81. features_volatility_delta:
    0
  82. features_body_ratio:
    0.4124
  83. features_closes_position_ratio:
    0.5359
  84. features_slope_consistency:
    0.5647
  85. features_range_position:
    0.3287
  86. features_distance_to_recent_high:
    -10.7396
  87. features_distance_to_recent_low:
    5.2591
  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 : -0.0895
  99. obi_top10 : -0.0858
  100. micro_price : 12.06960345
  101. spread_pct : 0.049718
  102. mid_price : 12.071
  103. bid_wall_price : 11.9
  104. bid_wall_size : 157346.915
  105. bid_wall_dist_atr :
  106. ask_wall_price : 12.2
  107. ask_wall_size : 183503.815
  108. ask_wall_dist_atr :
  109. snapshots_count : 4
  110. obi_top5_mean : -0.0765
  111. obi_top5_std : 0.0204
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6709
  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] => 2026-10-11 07:00:00
        [price] => 13.904
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-10-11 08:00:00
        [price] => 13.781
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-10-11 12:00:00
        [price] => 14.241
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-10-11 13:00:00
        [price] => 14.023
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-10-11 16:00:00
        [price] => 14.328
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-10-11 22:00:00
        [price] => 14.064
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-10-11 23:00:00
        [price] => 14.268
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-10-12 01:00:00
        [price] => 13.65
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-10-12 02:00:00
        [price] => 13.855
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-10-12 04:00:00
        [price] => 13.519
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-10-12 05:00:00
        [price] => 13.807
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-10-12 14:00:00
        [price] => 11.705
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-10-12 19:00:00
        [price] => 12.272
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-10-13 01:00:00
        [price] => 11.086
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-10-13 05:00:00
        [price] => 11.507
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-10-13 07:00:00
        [price] => 10.898
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-10-13 08:00:00
        [price] => 11.465
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-10-13 13:00:00
        [price] => 10.691
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-10-13 14:00:00
        [price] => 11.686
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-10-14 00:00:00
        [price] => 12.331
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-10-13 01:45:00
        [price] => 11.086
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-10-13 02:15:00
        [price] => 11.329
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-10-13 02:45:00
        [price] => 11.086
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-10-13 04:00:00
        [price] => 11.425
        [kind] => high
        [label] => HH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-10-13 04:30:00
        [price] => 11.183
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-10-13 05:15:00
        [price] => 11.507
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-10-13 07:00:00
        [price] => 10.898
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-10-13 08:45:00
        [price] => 11.465
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-10-13 11:00:00
        [price] => 10.794
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-10-13 12:15:00
        [price] => 11.095
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-10-13 12:45:00
        [price] => 10.848
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-10-13 13:30:00
        [price] => 11.351
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-10-13 13:45:00
        [price] => 11.029
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-10-13 14:45:00
        [price] => 11.137
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-10-13 16:30:00
        [price] => 11.709
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-10-13 17:30:00
        [price] => 11.334
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-10-13 20:00:00
        [price] => 12.219
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-10-13 21:00:00
        [price] => 11.888
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-10-14 00:30:00
        [price] => 12.331
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-10-14 01:45:00
        [price] => 11.81
        [kind] => low
        [label] => LL
    )
    
  163. bos_level_long : 11.686
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    11.686
  167. levels_hl_timestamp: 2026-10-13 14:00:00
  168. levels_hh_price:
    12.331
  169. levels_lh_price:
    12.331
  170. levels_lh_timestamp: 2026-10-14 00:00:00
  171. levels_ll_price:
    10.691
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    12.272
  175. supply_zone_bottom:
    11.705
  176. supply_zone_mid:
    11.9885
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.8055
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : bull_high
  183. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 22:02 12.06800000 0%
2 22:04 12.07000000 +0.017%
3 22:12 12.05700000 -0.091%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 41%

Trend

Trend Strength
0.294
Persistence
0.667
High Δ ATR
2.333
Low Δ ATR
-0.749

Current Swing

Amp ATR
2.208
Speed
0.221
Efficiency
0.192

Structure

Extension
0.648
Compression
1.336
Entropy
0.918
Breakout Str.
2.181
Dist High ATR
-0.951
Dist Low ATR
4.980
31 pivots · 30 swings · Last pivot: ↑ 12.3310 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_transition_grind
Confidence 35%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.545
Strength Score 0.423
Quality Score 0.346
Cleanliness Score 0.225
Structural Quality 0.444
Pullback Score 0.000
Exhaustion Score 0.358
Continuation Score 0.486
Structure Score 0.616
Volatility Expansion 0.392
Momentum Type Score 0.458
Risk Score 0.329
Features
Ema20 Slope
0.149
Ema50 Slope
-0.007
Ema Alignment Score
0.333
Price Vs Ema20
1.112
Price Vs Ema50
-0.185
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.550
Trend Efficiency
0.192
Impulse Strength
3.176
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.000
Pullback Depth Atr
0.000
Extension From Mean
-0.185
Impulse Decay Score
0.676
Opposing Wick Pressure
0.284
Volatility Percentile
0.320
Volatility Delta
0.000
Body Ratio
0.412
Closes Position Ratio
0.536
Slope Consistency
0.565
Range Position
0.329
Distance To Recent High
-10.740
Distance To Recent Low
5.259
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 4 snapshots 6709ms Confidence avant OB : 86% → 86%

Order Book Imbalance

OBI Top 5 -0.090
avg -0.077 ± 0.020
OBI Top 10 -0.086

Microstructure

Mid Price
12.0710
Micro Price
12.0696
Spread
0.0497%

↑ Bid Wall (Support)

Price
11.9000
Size
157,346.92

↓ Ask Wall (Resistance)

Price
12.2000
Size
183,503.82

📌 Time Data

Start at Closed at Duration
13 Oct 2026
22:02:53
14 Oct 2026
01:00:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.068 11.6588 13.687 3.96 10.056
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 12.068
  • Stop Loss: 11.6588
  • Take Profit: 13.687

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 11.6588 - 12.068 = -0.4092

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.068 - 13.687 = -1.619

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.619 / -0.4092 = 3.9565

📌 Position Size

Amount Margin Quantity Leverage
235.9173 100 19.549 2.36
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 -0.4092

Taille de position = 8 / -0.4092 = -19.55

Taille de position USD = -19.55 x 12.068 = -235.93

Donc, tu peux acheter -19.55 avec un stoploss a 11.6588

Avec un position size USD de -235.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -19.55 x -0.4092 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -19.55 x -1.619 = 31.65

Si Take Profit atteint, tu gagneras 31.65$

Résumé

  • Taille de position -19.55
  • Taille de position USD -235.93
  • Perte potentielle 8
  • Gain potentiel 31.65
  • Risk-Reward Ratio 3.9565

📌 Peformances

TP % Target TP $ Target
13.42 % 31.65 $
SL % Target SL $ Target
3.39 % 8 $
PNL PNL %
-8 $ -3.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.0023 % 118.03 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 13.687
            [entry_price] => 12.068
            [stop_loss] => 11.61788
            [rr_ratio] => 3.6
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-10-14 05:00:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 13.687
            [entry_price] => 12.068
            [stop_loss] => 11.57696
            [rr_ratio] => 3.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-10-14 05:05:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 13.687
            [entry_price] => 12.068
            [stop_loss] => 11.53604
            [rr_ratio] => 3.04
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-10-14 05:05:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 13.687
            [entry_price] => 12.068
            [stop_loss] => 11.4542
            [rr_ratio] => 2.64
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-10-14 05:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.017000000000001
            [max_drawdown] => 0.25
            [rr_ratio] => 0.07
            [high] => 12.08500000
            [low] => 11.81800000
            [mfe_pct] => 0.14
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2026-10-13T22:02:53-04:00
            [end_at] => 2026-10-14T00:02:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.017000000000001
            [max_drawdown] => 0.786
            [rr_ratio] => 0.02
            [high] => 12.08500000
            [low] => 11.28200000
            [mfe_pct] => 0.14
            [mae_pct] => 6.51
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 84
            [start_at] => 2026-10-13T22:02:53-04:00
            [end_at] => 2026-10-14T05:02:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 12.33100000
            [high_after] => 12.08500000
            [low_before] => 11.81000000
            [low_after] => 11.28200000
            [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 13/10/2026 21:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime