20 May 2026 at 00:21:54

Short Trade on SOL (BosPullback)

With 8.37 SOL at 84.091$ per unit. Take profit: 81.7028 (2.84 %) & Stop Loss: 85.0463 (1.14 %)

Short BosPullback on SOL (20 May 2026 at 00:21:54 to 03:20:00 - 2 hours )

With 8.3745 SOL at 84.091$ per unit.

Position size of 704.2208 $
Take profit at 81.7028 (2.84 %) and Stop Loss at 85.0463 (1.14 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.36
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 : bear_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

20/05 00:01

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range strong fading compression bear_high
69%
19/05 20:00
1h ↓ down range range moderate grind compression bear_medium
72%
19/05 23:00
15m ↓ down transition bearish_transition moderate explosive normal range_low
48%
20/05 00:00
5m ↔ neutral range range moderate balanced compression range_low
47%
20/05 00:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.72
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=14|retests=1|break_atr=0.61|prog=0.67|zone=tested
  4. stop_price: 85.04627999
  5. tp_price: 81.70280003
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 0.931
  12. trend_strength : 0.0346
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.0669
  15. low_delta_atr : -1.3771
  16. current_swing_amp_atr : 1.9636
  17. current_swing_speed : 0.65453
  18. current_swing_efficiency : 0.4312
  19. retracement_ratio : 0.6941
  20. extension_ratio : 1.1469
  21. compression_score : 0.9044
  22. swing_entropy : 1
  23. breakout_strength : -2.6922
  24. distance_to_last_high_atr : -1.6252
  25. distance_to_last_low_atr : 0.7958
  26. pivot_count : 32
  27. swing_count : 31
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    84.998
  31. last_pivot_index:
    138
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.523
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3198
  49. scores_strength_score:
    0.4972
  50. scores_quality_score:
    0.3197
  51. scores_cleanliness_score:
    0.1961
  52. scores_structural_quality:
    0.4208
  53. scores_pullback_score:
    0.6941
  54. scores_exhaustion_score:
    0.3831
  55. scores_continuation_score:
    0.388
  56. scores_structure_score:
    0.3811
  57. scores_volatility_expansion:
    0.0541
  58. scores_momentum_type_score:
    0.563
  59. scores_risk_score:
    0.0932
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0694
  62. features_ema50_slope:
    -0.0662
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.6111
  65. features_price_vs_ema50:
    -1.5841
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    14
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6077
  72. features_trend_efficiency:
    0.4312
  73. features_impulse_strength:
    2.7666
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.6941
  76. features_pullback_depth_atr:
    1.9203
  77. features_extension_from_mean:
    -1.5841
  78. features_impulse_decay_score:
    0.4266
  79. features_opposing_wick_pressure:
    0.2955
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.2189
  82. features_body_ratio:
    0.3654
  83. features_closes_position_ratio:
    0.4818
  84. features_slope_consistency:
    0.929
  85. features_range_position:
    0.0932
  86. features_distance_to_recent_high:
    -15.1443
  87. features_distance_to_recent_low:
    1.5562
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  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 : -0.0518
  99. obi_top10 : -0.0518
  100. micro_price : 84.09299964
  101. spread_pct : 0.001189
  102. mid_price : 84.0925
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0516
  111. obi_top5_std : 0.0002
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7109
  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] => 2026-05-16 06:00:00
        [price] => 85.443
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 86.937
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 85.526
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 87.268
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 85.901
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 86.66
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 85.953
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 86.953
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 83.299
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 85.44
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 84.02
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 85.773
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 83.549
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 84.679
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 83.443
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 85.929
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-19 01:00:00
        [price] => 84.409
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-19 03:00:00
        [price] => 85.6
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-19 10:00:00
        [price] => 83.632
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 84.998
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-19 00:00:00
        [price] => 85.283
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-19 01:15:00
        [price] => 84.409
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-19 03:45:00
        [price] => 85.6
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-19 04:00:00
        [price] => 84.984
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 06:45:00
        [price] => 84.249
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 07:00:00
        [price] => 84.783
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 09:00:00
        [price] => 84.869
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-19 09:15:00
        [price] => 84.34
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-19 10:45:00
        [price] => 83.632
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-19 13:15:00
        [price] => 84.998
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-19 15:30:00
        [price] => 84.182
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-19 17:00:00
        [price] => 84.639
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-19 18:30:00
        [price] => 83.966
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-19 19:30:00
        [price] => 84.569
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-19 20:15:00
        [price] => 83.887
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-19 21:00:00
        [price] => 84.44
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-19 21:15:00
        [price] => 83.8
        [kind] => low
        [label] => HL
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 84.409
  162. strategy_details
  163. levels_hl_price:
    83.632
  164. levels_hl_timestamp: 2026-05-19 10:00:00
  165. levels_hh_price:
    84.998
  166. levels_lh_price:
    84.998
  167. levels_lh_timestamp: 2026-05-19 13:00:00
  168. levels_ll_price:
    83.632
  169. strategy_details
  170. demand_zone_top:
    84.679
  171. demand_zone_bottom:
    83.443
  172. demand_zone_mid:
    84.061
  173. demand_zone_freshness: weak
  174. demand_zone_strength:
    0.7904
  175. strategy_details
  176. supply_zone_top:
    85.6
  177. supply_zone_bottom:
    84.409
  178. supply_zone_mid:
    85.0045
  179. supply_zone_freshness: tested
  180. supply_zone_strength:
    0.6809
  181. ¸
  182. regimes
  183. 1H : bear_medium
  184. 15m : range_low
  185. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 00:21 84.09100000 0%
2 00:27 84.09100000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 93%

Trend

Trend Strength
0.035
Persistence
0.500
High Δ ATR
-1.067
Low Δ ATR
-1.377

Current Swing

Amp ATR
1.964
Speed
0.655
Efficiency
0.431

Structure

Retracement
0.694
Extension
1.147
Compression
0.904
Entropy
1.000
Breakout Str.
-2.692
Dist High ATR
-1.625
Dist Low ATR
0.796
32 pivots · 31 swings · Last pivot: ↑ 84.9980 @ bar 138

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.320
Strength Score 0.497
Quality Score 0.320
Cleanliness Score 0.196
Structural Quality 0.421
Pullback Score 0.694
Exhaustion Score 0.383
Continuation Score 0.388
Structure Score 0.381
Volatility Expansion 0.054
Momentum Type Score 0.563
Risk Score 0.093
Features
Ema20 Slope
-0.069
Ema50 Slope
-0.066
Ema Alignment Score
0.000
Price Vs Ema20
-0.611
Price Vs Ema50
-1.584
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
14.000
Candle Overlap Ratio
1.000
Wick Ratio
0.608
Trend Efficiency
0.431
Impulse Strength
2.767
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.694
Pullback Depth Atr
1.920
Extension From Mean
-1.584
Impulse Decay Score
0.427
Opposing Wick Pressure
0.296
Volatility Percentile
0.000
Volatility Delta
-0.219
Body Ratio
0.365
Closes Position Ratio
0.482
Slope Consistency
0.929
Range Position
0.093
Distance To Recent High
-15.144
Distance To Recent Low
1.556
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7109ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 -0.052
avg -0.052 ± 0.000
OBI Top 10 -0.052

Microstructure

Mid Price
84.0925
Micro Price
84.0930
Spread
0.0012%

📌 Time Data

Start at Closed at Duration
20 May 2026
00:21:54
20 May 2026
03:20:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
84.091 85.0463 81.7028 2.5 75.249
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 84.091
  • Stop Loss: 85.0463
  • Take Profit: 81.7028

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 85.0463 - 84.091 = 0.95530000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 84.091 - 81.7028 = 2.3882

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.3882 / 0.95530000000001 = 2.4999

📌 Position Size

Amount Margin Quantity Leverage
704.2208 100 8.3745 7.04
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 0.95530000000001

Taille de position = 8 / 0.95530000000001 = 8.37

Taille de position USD = 8.37 x 84.091 = 703.84

Donc, tu peux acheter 8.37 avec un stoploss a 85.0463

Avec un position size USD de 703.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8.37 x 0.95530000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8.37 x 2.3882 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position 8.37
  • Taille de position USD 703.84
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4999

📌 Peformances

TP % Target TP $ Target
2.84 % 20 $
SL % Target SL $ Target
1.14 % 8 $
PNL PNL %
-8 $ -1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2094 % 106.46 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 81.7028
            [entry_price] => 84.091
            [stop_loss] => 85.14183
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-20 04:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.244
            [max_drawdown] => 0.88200000000001
            [rr_ratio] => 0.28
            [high] => 84.97300000
            [low] => 83.84700000
            [mfe_pct] => 0.29
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T00:21:54-04:00
            [end_at] => 2026-05-20T02:21:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.244
            [max_drawdown] => 1.083
            [rr_ratio] => 0.23
            [high] => 85.17400000
            [low] => 83.84700000
            [mfe_pct] => 0.29
            [mae_pct] => 1.29
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T00:21:54-04:00
            [end_at] => 2026-05-20T07:21:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 84.54000000
            [high_after] => 85.15000000
            [low_before] => 83.80000000
            [low_after] => 83.84700000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#61 / n/a OUT
seuil : top 15 · score du 20/05/2026 00:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime