29 May 2026 at 00:51:09

Long Trade on WLFI (BosPullback)

With 7180.62 WLFI at 0.0591$ per unit. Take profit: 0.0614 (3.89 %) & Stop Loss: 0.05799 (1.88 %)

Long BosPullback on WLFI (29 May 2026 at 00:51:09 to 07:05:00 - 6 hours )

With 7180.6195 WLFI at 0.0591$ per unit.

Position size of 424.3746 $
Take profit at 0.0614 (3.89 %) and Stop Loss at 0.05799 (1.88 %)

That's a 2.07 RR Trade
Duration: 6 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.29
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 : 0

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

29/05 00:01

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral transition bullish_transition moderate fading normal bear_high
67%
15/05 12:00
1h ↓ down range range moderate grind compression bear_high
69%
15/05 17:00
15m ↓ down range range moderate fading compression bear_medium
73%
15/05 18:30
5m ↓ down transition bearish_transition moderate explosive compression range_low
52%
15/05 18:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=13|retests=1|break_atr=0.49|prog=0.50|zone=weak|ob:bid_pressure(+0.07)
  4. stop_price: 0.05798589
  5. tp_price: 0.0614
  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 : pullback_up
  11. confidence : 0.473
  12. trend_strength : 0.0232
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.7932
  15. low_delta_atr : 1.0532
  16. current_swing_amp_atr : 2.4323
  17. current_swing_speed : 2.43226
  18. current_swing_efficiency : 0.8636
  19. retracement_ratio : 1.4122
  20. extension_ratio : 0.9127
  21. compression_score : 1.0541
  22. swing_entropy : 1
  23. breakout_strength : -0.5591
  24. distance_to_last_high_atr : -1.3523
  25. distance_to_last_low_atr : 1.3653
  26. pivot_count : 21
  27. swing_count : 20
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.06014
  31. last_pivot_index:
    136
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_retest
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.417
  46. state : neutral_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5807
  49. scores_strength_score:
    0.669
  50. scores_quality_score:
    0.2848
  51. scores_cleanliness_score:
    0.2153
  52. scores_structural_quality:
    0.3417
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.303
  55. scores_continuation_score:
    0.5164
  56. scores_structure_score:
    0.6068
  57. scores_volatility_expansion:
    0.1043
  58. scores_momentum_type_score:
    0.6123
  59. scores_risk_score:
    0.6324
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0224
  62. features_ema50_slope:
    -0.0122
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.2351
  65. features_price_vs_ema50:
    0.1383
  66. features_recent_hh_hl_score:
    0.4444
  67. features_recent_lh_ll_score:
    0.5556
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    13
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5693
  72. features_trend_efficiency:
    0.8636
  73. features_impulse_strength:
    2.6349
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.4122
  76. features_pullback_depth_atr:
    2.3918
  77. features_extension_from_mean:
    0.1383
  78. features_impulse_decay_score:
    0.5436
  79. features_opposing_wick_pressure:
    0.2937
  80. features_volatility_percentile:
    0.02
  81. features_volatility_delta:
    -0.1615
  82. features_body_ratio:
    0.4499
  83. features_closes_position_ratio:
    0.4904
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.6324
  86. features_distance_to_recent_high:
    -5.428
  87. features_distance_to_recent_low:
    9.3389
  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 : 0.1649
  99. obi_top10 : 0.0405
  100. micro_price : 0.05910606
  101. spread_pct : 0.01692
  102. mid_price : 0.059105
  103. bid_wall_price : 0.0588
  104. bid_wall_size : 1482121
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0596
  107. ask_wall_size : 1549316
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1648
  111. obi_top5_std : 0.0003
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7286
  115. aggregation_tick : 0.0001
  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] => 2026-05-23 00:00:00
        [price] => 0.0595
        [kind] => low
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-23 03:00:00
        [price] => 0.0625
        [kind] => high
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-23 07:00:00
        [price] => 0.059
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-23 20:00:00
        [price] => 0.0633
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 0.06
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-25 00:00:00
        [price] => 0.0615
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-25 01:00:00
        [price] => 0.0602
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 0.063
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-26 09:00:00
        [price] => 0.05965
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 0.06202
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 17:00:00
        [price] => 0.05239
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 0.0599
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-27 14:00:00
        [price] => 0.05832
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 0.06027
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 21:00:00
        [price] => 0.05806
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-28 00:00:00
        [price] => 0.05961
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 0.05724
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-28 09:00:00
        [price] => 0.05953
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.05805
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-28 15:00:00
        [price] => 0.06014
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 0.05815
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-28 05:15:00
        [price] => 0.05727
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-28 09:45:00
        [price] => 0.05953
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-28 11:30:00
        [price] => 0.05855
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-28 11:45:00
        [price] => 0.05916
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 0.05805
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-28 15:30:00
        [price] => 0.06014
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-28 17:15:00
        [price] => 0.0589
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-28 18:15:00
        [price] => 0.06001
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 0.05882
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 0.05981
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-28 23:00:00
        [price] => 0.05824
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 0.05908
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-29 01:30:00
        [price] => 0.05831
        [kind] => low
        [label] => HL
    )
    
  157. bos_level_long : 0.05953
  158. bos_level_short : 0
  159. strategy_details
  160. levels_hl_price:
    0.05805
  161. levels_hl_timestamp: 2026-05-28 14:00:00
  162. levels_hh_price:
    0.06014
  163. levels_lh_price:
    0.06014
  164. levels_lh_timestamp: 2026-05-28 15:00:00
  165. levels_ll_price:
    0.05805
  166. strategy_details
  167. demand_zone_top:
    0.05883
  168. demand_zone_bottom:
    0.05724
  169. demand_zone_mid:
    0.058035
  170. demand_zone_freshness: weak
  171. demand_zone_strength:
    0.7566
  172. strategy_details
  173. supply_zone_top:
    0.06027
  174. supply_zone_bottom:
    0.05887
  175. supply_zone_mid:
    0.05957
  176. supply_zone_freshness: weak
  177. supply_zone_strength:
    0.7743
  178. ¸
  179. regimes
  180. 1H : range_high
  181. 15m : range_medium
  182. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 00:51 0.05910000 0%
2 00:59 0.05910000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 47%

Trend

Trend Strength
0.023
Persistence
0.500
High Δ ATR
0.793
Low Δ ATR
1.053

Current Swing

Amp ATR
2.432
Speed
2.432
Efficiency
0.864

Structure

Retracement
1.412
Extension
0.913
Compression
1.054
Entropy
1.000
Breakout Str.
-0.559
Dist High ATR
-1.352
Dist Low ATR
1.365
21 pivots · 20 swings · Last pivot: ↑ 0.0601 @ bar 136

Trend Analyzer 1H

1H ↔ neutral neutral_transition_balanced
Confidence 42%

Context

phase transition
structure bullish_transition
breakout breakout_retest
quality volatile
strength strong
exhaustion low
momentum balanced
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.581
Strength Score 0.669
Quality Score 0.285
Cleanliness Score 0.215
Structural Quality 0.342
Pullback Score 1.000
Exhaustion Score 0.303
Continuation Score 0.516
Structure Score 0.607
Volatility Expansion 0.104
Momentum Type Score 0.612
Risk Score 0.632
Features
Ema20 Slope
-0.022
Ema50 Slope
-0.012
Ema Alignment Score
0.667
Price Vs Ema20
0.235
Price Vs Ema50
0.138
Recent Hh Hl Score
0.444
Recent Lh Ll Score
0.556
Last Bos Direction
1.000
Bars Since Last Bos
13.000
Candle Overlap Ratio
1.000
Wick Ratio
0.569
Trend Efficiency
0.864
Impulse Strength
2.635
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.412
Pullback Depth Atr
2.392
Extension From Mean
0.138
Impulse Decay Score
0.544
Opposing Wick Pressure
0.294
Volatility Percentile
0.020
Volatility Delta
-0.162
Body Ratio
0.450
Closes Position Ratio
0.490
Slope Consistency
0.000
Range Position
0.632
Distance To Recent High
-5.428
Distance To Recent Low
9.339
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7286ms Confidence avant OB : 86%93%

Order Book Imbalance

OBI Top 5 0.165
avg 0.165 ± 0.000
OBI Top 10 0.041

Microstructure

Mid Price
0.0591
Micro Price
0.0591
Spread
0.0169%

↑ Bid Wall (Support)

Price
0.0588
Size
1,482,121.00

↓ Ask Wall (Resistance)

Price
0.0596
Size
1,549,316.00

📌 Time Data

Start at Closed at Duration
29 May 2026
00:51:09
29 May 2026
07:05:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0591 0.05799 0.0614 2.07 0.05805
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 0.0591
  • Stop Loss: 0.05799
  • Take Profit: 0.0614

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05799 - 0.0591 = -0.00111

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0591 - 0.0614 = -0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0023 / -0.00111 = 2.0721

📌 Position Size

Amount Margin Quantity Leverage
424.3746 100 7180.6195 4.24
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 -0.00111

Taille de position = 8 / -0.00111 = -7207.21

Taille de position USD = -7207.21 x 0.0591 = -425.95

Donc, tu peux acheter -7207.21 avec un stoploss a 0.05799

Avec un position size USD de -425.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7207.21 x -0.00111 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7207.21 x -0.0023 = 16.58

Si Take Profit atteint, tu gagneras 16.58$

Résumé

  • Taille de position -7207.21
  • Taille de position USD -425.95
  • Perte potentielle 8
  • Gain potentiel 16.58
  • Risk-Reward Ratio 2.0721

📌 Peformances

TP % Target TP $ Target
3.89 % 16.52 $
SL % Target SL $ Target
1.88 % 7.97 $
PNL PNL %
-7.97 $ -1.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1827 % 116.21 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.00046
            [rr_ratio] => 0.3
            [high] => 0.05924000
            [low] => 0.05864000
            [mfe_pct] => 0.24
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2026-05-29T00:51:09-04:00
            [end_at] => 2026-05-29T02:51:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.0015
            [rr_ratio] => 0.09
            [high] => 0.05924000
            [low] => 0.05760000
            [mfe_pct] => 0.24
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2026-05-29T00:51:09-04:00
            [end_at] => 2026-05-29T07:51:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05924000
            [high_after] => 0.05924000
            [low_before] => 0.05827000
            [low_after] => 0.05811000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#47 / n/a OUT
seuil : top 15 · score du 29/05/2026 00:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime