19 May 2026 at 02:41:07

Long Trade on SOL (BosPullback)

With 7.81 SOL at 85.375$ per unit. Take profit: 87.936 (3 %) & Stop Loss: 84.3506 (1.2 %)

Long BosPullback on SOL (19 May 2026 at 02:41:07 to 06:45:00 - 4 hours )

With 7.8093 SOL at 85.375$ per unit.

Position size of 666.7216 $
Take profit at 87.936 (3 %) and Stop Loss at 84.3506 (1.2 %)

That's a 2.5 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.58
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_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_medium

rules_regime : bear_medium

rules_regime_5m : range_low

tf_aligned :

19/05 02:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate grind compression bear_high
70%
18/05 20:00
1h ↔ neutral range range moderate balanced normal bear_high
73%
19/05 01:00
15m ↓ down range range moderate grind normal range_low
48%
19/05 01:30
5m ↔ neutral transition bearish_transition moderate balanced volatile_reversal range_low
37%
19/05 01:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=1.24|prog=0.68|zone=weak
  4. stop_price: 84.35058439
  5. tp_price: 87.93603903
  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 : 0.822
  12. trend_strength : 0.0499
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.7982
  15. low_delta_atr : 1.3897
  16. current_swing_amp_atr : 2.115
  17. current_swing_speed : 0.423
  18. current_swing_efficiency : 0.3843
  19. retracement_ratio : 0.6114
  20. extension_ratio : 1.2298
  21. compression_score : 1.0056
  22. swing_entropy : 1
  23. breakout_strength : -2.8829
  24. distance_to_last_high_atr : -0.6934
  25. distance_to_last_low_atr : 1.4933
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    84.409
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_confirmed
  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 : 0.433
  46. state : neutral_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5184
  49. scores_strength_score:
    0.5167
  50. scores_quality_score:
    0.353
  51. scores_cleanliness_score:
    0.2293
  52. scores_structural_quality:
    0.4542
  53. scores_pullback_score:
    0.6114
  54. scores_exhaustion_score:
    0.2427
  55. scores_continuation_score:
    0.5095
  56. scores_structure_score:
    0.6337
  57. scores_volatility_expansion:
    0.4714
  58. scores_momentum_type_score:
    0.5454
  59. scores_risk_score:
    0.2075
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0174
  62. features_ema50_slope:
    -0.0304
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.5965
  65. features_price_vs_ema50:
    -0.1993
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5414
  72. features_trend_efficiency:
    0.3843
  73. features_impulse_strength:
    3.3433
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.6114
  76. features_pullback_depth_atr:
    2.0441
  77. features_extension_from_mean:
    -0.1993
  78. features_impulse_decay_score:
    0.3851
  79. features_opposing_wick_pressure:
    0.285
  80. features_volatility_percentile:
    0.38
  81. features_volatility_delta:
    0.0651
  82. features_body_ratio:
    0.52
  83. features_closes_position_ratio:
    0.5165
  84. features_slope_consistency:
    0.4339
  85. features_range_position:
    0.2075
  86. features_distance_to_recent_high:
    -12.3737
  87. features_distance_to_recent_low:
    3.2389
  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 : 0.061
  99. obi_top10 : 0.061
  100. micro_price : 85.44917079
  101. spread_pct : 0.00117
  102. mid_price : 85.4495
  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 : 0.0616
  111. obi_top5_std : 0.0011
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7044
  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] => 2026-05-15 03:00:00
        [price] => 91.691
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 88.457
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 90.075
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 85.443
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 86.937
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 85.526
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 87.268
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 85.901
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 86.66
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 85.953
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 86.953
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 83.299
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 85.44
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 84.02
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 85.773
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 83.549
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 84.679
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 83.443
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 85.929
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 01:00:00
        [price] => 84.409
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 84.939
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 84.242
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-18 04:00:00
        [price] => 84.977
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 84.02
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 85.773
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 84.26
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 84.985
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 83.549
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 84.679
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 14:15:00
        [price] => 83.443
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 18:15:00
        [price] => 85.75
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 19:45:00
        [price] => 85.217
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 85.929
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 84.556
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 22:15:00
        [price] => 85.268
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 23:00:00
        [price] => 84.681
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-19 00:00:00
        [price] => 85.283
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-19 01:15:00
        [price] => 84.409
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 84.679
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    84.409
  165. levels_hl_timestamp: 2026-05-19 01:00:00
  166. levels_hh_price:
    85.929
  167. levels_lh_price:
    85.929
  168. levels_lh_timestamp: 2026-05-18 20:00:00
  169. levels_ll_price:
    84.409
  170. strategy_details
  171. demand_zone_top:
    84.679
  172. demand_zone_bottom:
    83.443
  173. demand_zone_mid:
    84.061
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.7904
  176. strategy_details
  177. supply_zone_top:
    86.953
  178. supply_zone_bottom:
    86.391
  179. supply_zone_mid:
    86.672
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.9994
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : range_low
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 82%

Trend

Trend Strength
0.050
Persistence
0.500
High Δ ATR
1.798
Low Δ ATR
1.390

Current Swing

Amp ATR
2.115
Speed
0.423
Efficiency
0.384

Structure

Retracement
0.611
Extension
1.230
Compression
1.006
Entropy
1.000
Breakout Str.
-2.883
Dist High ATR
-0.693
Dist Low ATR
1.493
29 pivots · 28 swings · Last pivot: ↓ 84.4090 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_transition_grind
Confidence 43%

Context

phase transition
structure bullish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.518
Strength Score 0.517
Quality Score 0.353
Cleanliness Score 0.229
Structural Quality 0.454
Pullback Score 0.611
Exhaustion Score 0.243
Continuation Score 0.510
Structure Score 0.634
Volatility Expansion 0.471
Momentum Type Score 0.545
Risk Score 0.208
Features
Ema20 Slope
0.017
Ema50 Slope
-0.030
Ema Alignment Score
0.333
Price Vs Ema20
0.597
Price Vs Ema50
-0.199
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.541
Trend Efficiency
0.384
Impulse Strength
3.343
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.611
Pullback Depth Atr
2.044
Extension From Mean
-0.199
Impulse Decay Score
0.385
Opposing Wick Pressure
0.285
Volatility Percentile
0.380
Volatility Delta
0.065
Body Ratio
0.520
Closes Position Ratio
0.517
Slope Consistency
0.434
Range Position
0.208
Distance To Recent High
-12.374
Distance To Recent Low
3.239
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7044ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.061
avg 0.062 ± 0.001
OBI Top 10 0.061

Microstructure

Mid Price
85.4495
Micro Price
85.4492
Spread
0.0012%

📌 Time Data

Start at Closed at Duration
19 May 2026
02:41:07
19 May 2026
06:45:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
85.375 84.3506 87.936 2.5 76.061
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 85.375
  • Stop Loss: 84.3506
  • Take Profit: 87.936

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 84.3506 - 85.375 = -1.0244

  • Récompense (distance jusqu'au take profit):

    E - TP = 85.375 - 87.936 = -2.561

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.561 / -1.0244 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
666.7216 100 7.8093 6.67
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 -1.0244

Taille de position = 8 / -1.0244 = -7.81

Taille de position USD = -7.81 x 85.375 = -666.78

Donc, tu peux acheter -7.81 avec un stoploss a 84.3506

Avec un position size USD de -666.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7.81 x -1.0244 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7.81 x -2.561 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -7.81
  • Taille de position USD -666.78
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
3 % 20 $
SL % Target SL $ Target
1.2 % 8 $
PNL PNL %
-8 $ -1.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3189 % 109.92 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 87.936
            [entry_price] => 85.375
            [stop_loss] => 84.24816
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-19 07:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.22499999999999
            [max_drawdown] => 0.39100000000001
            [rr_ratio] => 0.58
            [high] => 85.60000000
            [low] => 84.98400000
            [mfe_pct] => 0.26
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 24
            [start_at] => 2026-05-19T02:41:07-04:00
            [end_at] => 2026-05-19T04:41:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.22499999999999
            [max_drawdown] => 1.164
            [rr_ratio] => 0.19
            [high] => 85.60000000
            [low] => 84.21100000
            [mfe_pct] => 0.26
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2026-05-19T02:41:07-04:00
            [end_at] => 2026-05-19T09:41:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 85.56800000
            [high_after] => 85.60000000
            [low_before] => 84.40900000
            [low_after] => 84.21100000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#53 / n/a OUT
seuil : top 15 · score du 19/05/2026 02:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime