15 May 2026 at 04:37:37

Long Trade on 1000XEC (BosPullback)

With 66225.17 1000XEC at 0.00799$ per unit. Take profit: 0.00859 (7.51 %) & Stop Loss: 0.007869 (1.51 %)

Long BosPullback on 1000XEC (15 May 2026 at 04:37:37 to 06:20:00 - 1 hour )

With 66225.1656 1000XEC at 0.00799$ per unit.

Position size of 529.1391 $
Take profit at 0.00859 (7.51 %) and Stop Loss at 0.007869 (1.51 %)

That's a 4.96 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.06
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 : bear_medium

rules_regime : range_medium

rules_regime_5m : range_low

tf_aligned : 1

15/05 04:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_medium

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.69
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=1|retests=1|break_atr=0.65|prog=0.33|zone=weak|ob:ask_pressure(-0.10)
  4. stop_price: 0.0078692
  5. tp_price: 0.00859
  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 : range
  11. confidence : 0.906
  12. trend_strength : -0.0471
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2978
  15. low_delta_atr : 0.9734
  16. current_swing_amp_atr : 3.8493
  17. current_swing_speed : 3.84929
  18. current_swing_efficiency : 0.7857
  19. retracement_ratio : 1.5714
  20. extension_ratio : 1.1
  21. compression_score : 0.7805
  22. swing_entropy : 1
  23. breakout_strength : -1.0815
  24. distance_to_last_high_atr : -2.3793
  25. distance_to_last_low_atr : 1.1897
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.00821
  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 : strong
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion_after_compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.509
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4182
  49. scores_strength_score:
    0.6825
  50. scores_quality_score:
    0.3086
  51. scores_cleanliness_score:
    0.2477
  52. scores_structural_quality:
    0.3583
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3059
  55. scores_continuation_score:
    0.4505
  56. scores_structure_score:
    0.6168
  57. scores_volatility_expansion:
    0.832
  58. scores_momentum_type_score:
    0.6513
  59. scores_risk_score:
    0.1397
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.002
  62. features_ema50_slope:
    -0.0181
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.1231
  65. features_price_vs_ema50:
    -0.5082
  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:
    1
  70. features_candle_overlap_ratio:
    0.9474
  71. features_wick_ratio:
    0.5571
  72. features_trend_efficiency:
    0.7857
  73. features_impulse_strength:
    3.8493
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.5714
  76. features_pullback_depth_atr:
    4.3323
  77. features_extension_from_mean:
    -0.5082
  78. features_impulse_decay_score:
    0.45
  79. features_opposing_wick_pressure:
    0.3259
  80. features_volatility_percentile:
    0.72
  81. features_volatility_delta:
    0.41
  82. features_body_ratio:
    0.5514
  83. features_closes_position_ratio:
    0.4958
  84. features_slope_consistency:
    0.1505
  85. features_range_position:
    0.1397
  86. features_distance_to_recent_high:
    -18.267
  87. features_distance_to_recent_low:
    2.9672
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : -0.0635
  99. obi_top10 : 0.2208
  100. micro_price : 0.00798539
  101. spread_pct : 0.125313
  102. mid_price : 0.007985
  103. bid_wall_price : 0.00788
  104. bid_wall_size : 2848576
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.00812
  107. ask_wall_size : 3175416
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.2034
  111. obi_top5_std : 0.0782
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6964
  115. aggregation_tick : 1.0E-5
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-09 15:00:00
        [price] => 0.00759
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-09 21:00:00
        [price] => 0.00753
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-10 01:00:00
        [price] => 0.00993
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-10 02:00:00
        [price] => 0.00894
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-10 05:00:00
        [price] => 0.00931
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-10 06:00:00
        [price] => 0.00991
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-10 16:00:00
        [price] => 0.00832
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-10 20:00:00
        [price] => 0.00891
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-10 21:00:00
        [price] => 0.00835
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-11 03:00:00
        [price] => 0.00883
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 0.00809
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-12 17:00:00
        [price] => 0.00829
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-12 19:00:00
        [price] => 0.00813
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-12 20:00:00
        [price] => 0.00858
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.00767
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 0.00809
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-14 00:00:00
        [price] => 0.00779
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-14 14:00:00
        [price] => 0.00809
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-15 02:00:00
        [price] => 0.00788
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 0.00821
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-14 05:30:00
        [price] => 0.00787
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-14 07:15:00
        [price] => 0.00803
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-14 09:30:00
        [price] => 0.00796
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-14 09:45:00
        [price] => 0.00803
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-14 11:00:00
        [price] => 0.00799
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.00807
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-14 12:45:00
        [price] => 0.00801
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 0.00807
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-14 14:45:00
        [price] => 0.00809
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-14 16:15:00
        [price] => 0.00802
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-14 18:30:00
        [price] => 0.00805
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-14 19:00:00
        [price] => 0.00801
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 0.00803
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-14 20:30:00
        [price] => 0.00796
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-14 21:00:00
        [price] => 0.00801
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-14 22:30:00
        [price] => 0.00791
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-14 23:00:00
        [price] => 0.008
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 0.00792
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-15 01:15:00
        [price] => 0.00798
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-15 03:45:00
        [price] => 0.00821
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 0.00809
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.00788
  167. levels_hl_timestamp: 2026-05-15 02:00:00
  168. levels_hh_price:
    0.00821
  169. levels_lh_price:
    0.00821
  170. levels_lh_timestamp: 2026-05-15 03:00:00
  171. levels_ll_price:
    0.00788
  172. strategy_details
  173. demand_zone_top:
    0.00799
  174. demand_zone_bottom:
    0.00779
  175. demand_zone_mid:
    0.00789
  176. demand_zone_freshness: weak
  177. demand_zone_strength:
    0.6428
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : bear_high
  182. 15m : range_medium
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 91%

Trend

Trend Strength
-0.047
Persistence
0.500
High Δ ATR
1.298
Low Δ ATR
0.973

Current Swing

Amp ATR
3.849
Speed
3.849
Efficiency
0.786

Structure

Retracement
1.571
Extension
1.100
Compression
0.781
Entropy
1.000
Breakout Str.
-1.082
Dist High ATR
-2.379
Dist Low ATR
1.190
24 pivots · 23 swings · Last pivot: ↑ 0.0082 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 51%

Context

phase range
structure range
breakout none
quality volatile
strength strong
exhaustion low
momentum balanced
volatility expansion_after_compression
risk discount
htf unknown
Scores
Direction Score 0.418
Strength Score 0.683
Quality Score 0.309
Cleanliness Score 0.248
Structural Quality 0.358
Pullback Score 1.000
Exhaustion Score 0.306
Continuation Score 0.451
Structure Score 0.617
Volatility Expansion 0.832
Momentum Type Score 0.651
Risk Score 0.140
Features
Ema20 Slope
0.002
Ema50 Slope
-0.018
Ema Alignment Score
0.000
Price Vs Ema20
-0.123
Price Vs Ema50
-0.508
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
0.947
Wick Ratio
0.557
Trend Efficiency
0.786
Impulse Strength
3.849
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.571
Pullback Depth Atr
4.332
Extension From Mean
-0.508
Impulse Decay Score
0.450
Opposing Wick Pressure
0.326
Volatility Percentile
0.720
Volatility Delta
0.410
Body Ratio
0.551
Closes Position Ratio
0.496
Slope Consistency
0.151
Range Position
0.140
Distance To Recent High
-18.267
Distance To Recent Low
2.967
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6964ms Confidence avant OB : 79%69%

Order Book Imbalance

OBI Top 5 -0.064
avg -0.203 ± 0.078
OBI Top 10 0.221

Microstructure

Mid Price
0.0080
Micro Price
0.0080
Spread
0.1253%

↑ Bid Wall (Support)

Price
0.0079
Size
2,848,576.00

↓ Ask Wall (Resistance)

Price
0.0081
Size
3,175,416.00

📌 Time Data

Start at Closed at Duration
15 May 2026
04:37:37
15 May 2026
06:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.00799 0.007869 0.00859 4.96 0.00547
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 0.00799
  • Stop Loss: 0.007869
  • Take Profit: 0.00859

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.007869 - 0.00799 = -0.000121

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.00799 - 0.00859 = -0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0006 / -0.000121 = 4.9587

📌 Position Size

Amount Margin Quantity Leverage
529.1391 100 66225.1656 5.29
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 -0.000121

Taille de position = 8 / -0.000121 = -66115.7

Taille de position USD = -66115.7 x 0.00799 = -528.26

Donc, tu peux acheter -66115.7 avec un stoploss a 0.007869

Avec un position size USD de -528.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -66115.7 x -0.000121 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -66115.7 x -0.0006 = 39.67

Si Take Profit atteint, tu gagneras 39.67$

Résumé

  • Taille de position -66115.7
  • Taille de position USD -528.26
  • Perte potentielle 8
  • Gain potentiel 39.67
  • Risk-Reward Ratio 4.9587

📌 Peformances

TP % Target TP $ Target
7.51 % 39.74 $
SL % Target SL $ Target
1.51 % 8.01 $
PNL PNL %
-8.01 $ -1.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.0025 % 132.23 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.00859
            [entry_price] => 0.00799
            [stop_loss] => 0.0078569
            [rr_ratio] => 4.51
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-15 06:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.00859
            [entry_price] => 0.00799
            [stop_loss] => 0.0078448
            [rr_ratio] => 4.13
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-15 06:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.00859
            [entry_price] => 0.00799
            [stop_loss] => 0.0078327
            [rr_ratio] => 3.81
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-15 06:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.00859
            [entry_price] => 0.00799
            [stop_loss] => 0.0078085
            [rr_ratio] => 3.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-15 08:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.9999999999996E-6
            [max_drawdown] => 0.00016
            [rr_ratio] => 0.06
            [high] => 0.00800000
            [low] => 0.00783000
            [mfe_pct] => 0.13
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2026-05-15T04:37:37-04:00
            [end_at] => 2026-05-15T06:37:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 9.9999999999996E-6
            [max_drawdown] => 0.0006
            [rr_ratio] => 0.02
            [high] => 0.00800000
            [low] => 0.00739000
            [mfe_pct] => 0.13
            [mae_pct] => 7.51
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 84
            [start_at] => 2026-05-15T04:37:37-04:00
            [end_at] => 2026-05-15T11:37:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00821000
            [high_after] => 0.00800000
            [low_before] => 0.00788000
            [low_after] => 0.00739000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#46 / 92 OUT
seuil : top 15
Signal Confidence
69 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime