18 May 2026 at 15:07:01

Long Trade on VIRTUAL (BosPullback)

With 558.99 VIRTUAL at 0.699$ per unit. Take profit: 0.7307 (4.46 %) & Stop Loss: 0.6852 (2.04 %)

Long BosPullback on VIRTUAL (18 May 2026 at 15:07:01 to 03:45:00 - 12 hours )

With 558.9871 VIRTUAL at 0.6995$ per unit.

Position size of 391.0115 $
Take profit at 0.7307 (4.46 %) and Stop Loss at 0.6852 (2.04 %)

That's a 2.18 RR Trade
Duration: 12 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 40
ML Pullback Score: 8.65
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 : bear_low

Score : 0

ml_regime : range_medium

rules_regime : bear_medium

rules_regime_5m : range_low

tf_aligned :

18/05 15:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate fading compression bear_high
69%
18/05 08:00
1h ↓ down range bullish_transition strong explosive expansion_after_compression bear_high_confirmed
68%
18/05 11:00
15m ↔ neutral range range strong balanced expansion bear_medium
73%
18/05 11:15
5m ↓ down range range moderate fading compression bear_medium
68%
18/05 11:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=7|retests=1|break_atr=0.49|prog=0.49|zone=invalid
  4. stop_price: 0.6851884
  5. tp_price: 0.7307
  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 : 0.812
  12. trend_strength : 0.0939
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.8686
  15. low_delta_atr : -0.1121
  16. current_swing_amp_atr : 2.6351
  17. current_swing_speed : 0.43918
  18. current_swing_efficiency : 0.3619
  19. retracement_ratio : 1.0465
  20. extension_ratio : 1.6364
  21. compression_score : 0.9257
  22. swing_entropy : 1
  23. breakout_strength : -1.1207
  24. distance_to_last_high_atr : -1.2888
  25. distance_to_last_low_atr : 1.2328
  26. pivot_count : 34
  27. swing_count : 33
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.6863
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.477
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4302
  49. scores_strength_score:
    0.4608
  50. scores_quality_score:
    0.3652
  51. scores_cleanliness_score:
    0.2615
  52. scores_structural_quality:
    0.45
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2247
  55. scores_continuation_score:
    0.4797
  56. scores_structure_score:
    0.6414
  57. scores_volatility_expansion:
    0.6413
  58. scores_momentum_type_score:
    0.5975
  59. scores_risk_score:
    0.1997
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0594
  62. features_ema50_slope:
    -0.0661
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.1644
  65. features_price_vs_ema50:
    -1.202
  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:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.477
  72. features_trend_efficiency:
    0.3619
  73. features_impulse_strength:
    2.6351
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.0465
  76. features_pullback_depth_atr:
    2.6349
  77. features_extension_from_mean:
    -1.202
  78. features_impulse_decay_score:
    0.1818
  79. features_opposing_wick_pressure:
    0.1873
  80. features_volatility_percentile:
    0.86
  81. features_volatility_delta:
    -0.112
  82. features_body_ratio:
    0.5286
  83. features_closes_position_ratio:
    0.5375
  84. features_slope_consistency:
    0.7749
  85. features_range_position:
    0.1997
  86. features_distance_to_recent_high:
    -9.0119
  87. features_distance_to_recent_low:
    2.2486
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.0155
  99. obi_top10 : -0.0266
  100. micro_price : 0.69688761
  101. spread_pct : 0.057414
  102. mid_price : 0.6969
  103. bid_wall_price : 0.693
  104. bid_wall_size : 158142.6
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.7
  107. ask_wall_size : 137265
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0345
  111. obi_top5_std : 0.0168
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7170
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-15 06:00:00
        [price] => 0.7894
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 09:00:00
        [price] => 0.7373
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 0.7661
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 0.7092
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 0.7258
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 0.707
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 12:00:00
        [price] => 0.7315
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 0.7095
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.7349
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 0.719
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 0.7283
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.7161
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.7354
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.6738
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 01:00:00
        [price] => 0.7085
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 03:00:00
        [price] => 0.6881
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 05:00:00
        [price] => 0.704
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 0.6875
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 0.7133
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 0.6863
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 0.7307
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 16:15:00
        [price] => 0.726
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 17:45:00
        [price] => 0.7354
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 0.6738
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 0.7046
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 0.6926
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 23:00:00
        [price] => 0.7064
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 23:30:00
        [price] => 0.6974
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 01:00:00
        [price] => 0.7085
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 03:15:00
        [price] => 0.6881
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 05:00:00
        [price] => 0.704
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 0.6875
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 0.7133
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 0.6986
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 0.7094
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 0.6888
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 13:45:00
        [price] => 0.7017
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 14:45:00
        [price] => 0.6863
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0.704
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.6863
  165. levels_hl_timestamp: 2026-05-18 14:00:00
  166. levels_hh_price:
    0.7133
  167. levels_lh_price:
    0.7133
  168. levels_lh_timestamp: 2026-05-18 08:00:00
  169. levels_ll_price:
    0.6863
  170. demand_zone :
  171. supply_zone :
  172. ¸
  173. regimes
  174. 1H : bear_high
  175. 15m : range_high
  176. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 81%

Trend

Trend Strength
0.094
Persistence
0.500
High Δ ATR
0.869
Low Δ ATR
-0.112

Current Swing

Amp ATR
2.635
Speed
0.439
Efficiency
0.362

Structure

Retracement
1.047
Extension
1.636
Compression
0.926
Entropy
1.000
Breakout Str.
-1.121
Dist High ATR
-1.289
Dist Low ATR
1.233
34 pivots · 33 swings · Last pivot: ↓ 0.6863 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 48%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion_after_compression
risk discount
htf unknown
Scores
Direction Score 0.430
Strength Score 0.461
Quality Score 0.365
Cleanliness Score 0.262
Structural Quality 0.450
Pullback Score 1.000
Exhaustion Score 0.225
Continuation Score 0.480
Structure Score 0.641
Volatility Expansion 0.641
Momentum Type Score 0.598
Risk Score 0.200
Features
Ema20 Slope
-0.059
Ema50 Slope
-0.066
Ema Alignment Score
0.000
Price Vs Ema20
-0.164
Price Vs Ema50
-1.202
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.477
Trend Efficiency
0.362
Impulse Strength
2.635
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.047
Pullback Depth Atr
2.635
Extension From Mean
-1.202
Impulse Decay Score
0.182
Opposing Wick Pressure
0.187
Volatility Percentile
0.860
Volatility Delta
-0.112
Body Ratio
0.529
Closes Position Ratio
0.538
Slope Consistency
0.775
Range Position
0.200
Distance To Recent High
-9.012
Distance To Recent Low
2.249
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7170ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 -0.016
avg -0.035 ± 0.017
OBI Top 10 -0.027

Microstructure

Mid Price
0.6969
Micro Price
0.6969
Spread
0.0574%

↑ Bid Wall (Support)

Price
0.6930
Size
158,142.60

↓ Ask Wall (Resistance)

Price
0.7000
Size
137,265.00

📌 Time Data

Start at Closed at Duration
18 May 2026
15:07:01
19 May 2026
03:45:00
12 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6995 0.6852 0.7307 2.18 0.6106
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 0.6995
  • Stop Loss: 0.6852
  • Take Profit: 0.7307

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6852 - 0.6995 = -0.0143

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6995 - 0.7307 = -0.0312

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0312 / -0.0143 = 2.1818

📌 Position Size

Amount Margin Quantity Leverage
391.0115 100 558.9871 3.91
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 -0.0143

Taille de position = 8 / -0.0143 = -559.44

Taille de position USD = -559.44 x 0.6995 = -391.33

Donc, tu peux acheter -559.44 avec un stoploss a 0.6852

Avec un position size USD de -391.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -559.44 x -0.0143 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -559.44 x -0.0312 = 17.45

Si Take Profit atteint, tu gagneras 17.45$

Résumé

  • Taille de position -559.44
  • Taille de position USD -391.33
  • Perte potentielle 8
  • Gain potentiel 17.45
  • Risk-Reward Ratio 2.1818

📌 Peformances

TP % Target TP $ Target
4.46 % 17.44 $
SL % Target SL $ Target
2.04 % 7.99 $
PNL PNL %
17.44 $ 4.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5004 % 24.48 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7281
            [stop_loss] => 0.6852
            [rr_ratio] => 2
            [closed_at] => 2026-05-18 18:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0127
            [max_drawdown] => 0.0035000000000001
            [rr_ratio] => 3.63
            [high] => 0.71220000
            [low] => 0.69600000
            [mfe_pct] => 1.82
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 3.63
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T15:07:01-04:00
            [end_at] => 2026-05-18T17:07:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0305
            [max_drawdown] => 0.0035000000000001
            [rr_ratio] => 8.71
            [high] => 0.73000000
            [low] => 0.69600000
            [mfe_pct] => 4.36
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 8.71
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T15:07:01-04:00
            [end_at] => 2026-05-18T22:07:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.70430000
            [high_after] => 0.73000000
            [low_before] => 0.68630000
            [low_after] => 0.69600000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#77 / n/a OUT
seuil : top 15 · score du 18/05/2026 14:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime