18 May 2026 at 21:07:52

Short Trade on XRP (BosPullback)

With 624.71 XRP at 1.39$ per unit. Take profit: 1.3584 (2.3 %) & Stop Loss: 1.4032 (0.92 %)

Short BosPullback on XRP (18 May 2026 at 21:07:52 to 15:20:00 - 18 hours )

With 624.7052 XRP at 1.3904$ per unit.

Position size of 868.5901 $
Take profit at 1.3584 (2.3 %) and Stop Loss at 1.4032 (0.92 %)

That's a 2.5 RR Trade
Duration: 18 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 9.79
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 : bear_medium

rules_regime_5m : range_low

tf_aligned :

18/05 21:01

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 ↔ neutral range range moderate grind compression bear_high
72%
18/05 20:00
1h ↓ down range range moderate grind normal bear_high
72%
18/05 20:00
15m ↑ up transition bullish_transition moderate grind compression range_low
50%
18/05 20:45
5m ↑ up transition bullish_transition moderate grind compression range_low
52%
18/05 21:00

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.65
  3. reason: bos_pullback_short|score=0|shallow|bars_since_bos=7|retests=1|break_atr=0.76|prog=0.30|zone=invalid
  4. stop_price: 1.40320604
  5. tp_price: 1.35838491
  6. atr:
  7. score: 0.65
  8. confidence_pre_ob: 0.65
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 : 0.72
  12. trend_strength : -0.1401
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.1563
  15. low_delta_atr : -1.1127
  16. current_swing_amp_atr : 3.3097
  17. current_swing_speed : 0.55162
  18. current_swing_efficiency : 0.4105
  19. retracement_ratio : 1.4465
  20. extension_ratio : 1.5433
  21. compression_score : 0.6893
  22. swing_entropy : 1
  23. breakout_strength : -1.3977
  24. distance_to_last_high_atr : -1.0943
  25. distance_to_last_low_atr : 2.5104
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.3631
  31. last_pivot_index:
    142
  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 : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.489
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3724
  49. scores_strength_score:
    0.5271
  50. scores_quality_score:
    0.32
  51. scores_cleanliness_score:
    0.2303
  52. scores_structural_quality:
    0.3933
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2397
  55. scores_continuation_score:
    0.4521
  56. scores_structure_score:
    0.3105
  57. scores_volatility_expansion:
    0.3941
  58. scores_momentum_type_score:
    0.5276
  59. scores_risk_score:
    0.1465
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.034
  62. features_ema50_slope:
    -0.0312
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.1743
  65. features_price_vs_ema50:
    -0.7963
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5394
  72. features_trend_efficiency:
    0.4105
  73. features_impulse_strength:
    3.3097
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.4465
  76. features_pullback_depth_atr:
    3.5906
  77. features_extension_from_mean:
    -0.7963
  78. features_impulse_decay_score:
    0.2284
  79. features_opposing_wick_pressure:
    0.3146
  80. features_volatility_percentile:
    0.48
  81. features_volatility_delta:
    -0.1408
  82. features_body_ratio:
    0.4535
  83. features_closes_position_ratio:
    0.5009
  84. features_slope_consistency:
    0.4649
  85. features_range_position:
    0.1465
  86. features_distance_to_recent_high:
    -15.5869
  87. features_distance_to_recent_low:
    2.6746
  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 : 0.0177
  99. obi_top10 : 0.0177
  100. micro_price : 1.39137683
  101. spread_pct : 0.007188
  102. mid_price : 1.39135
  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 : 0.0173
  111. obi_top5_std : 0.0006
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7258
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-13 14:00:00
        [price] => 1.4337
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-13 18:00:00
        [price] => 1.4145
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-13 21:00:00
        [price] => 1.435
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-13 23:00:00
        [price] => 1.4201
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-14 15:00:00
        [price] => 1.5495
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 1.4522
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-15 06:00:00
        [price] => 1.4763
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 1.4263
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-15 13:00:00
        [price] => 1.4505
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 1.3953
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 12:00:00
        [price] => 1.4196
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 1.4015
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 1.4287
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 1.4055
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 1.4256
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 1.3685
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 1.4006
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 1.3752
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 1.4023
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 1.3631
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 20:15:00
        [price] => 1.3969
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 1.3838
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 22:15:00
        [price] => 1.402
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 00:15:00
        [price] => 1.3863
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-18 00:45:00
        [price] => 1.3986
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 1.3759
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 03:00:00
        [price] => 1.3905
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 1.3752
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 1.4023
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 1.3756
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 1.3892
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 1.3675
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 13:15:00
        [price] => 1.3828
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 14:15:00
        [price] => 1.3631
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 1.3919
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 17:00:00
        [price] => 1.3815
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 1.3973
        [kind] => high
        [label] => HH
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 1.3752
  162. strategy_details
  163. levels_hl_price:
    1.3631
  164. levels_hl_timestamp: 2026-05-18 14:00:00
  165. levels_hh_price:
    1.4023
  166. levels_lh_price:
    1.4023
  167. levels_lh_timestamp: 2026-05-18 08:00:00
  168. levels_ll_price:
    1.3631
  169. demand_zone :
  170. supply_zone :
  171. ¸
  172. regimes
  173. 1H : bear_high
  174. 15m : range_low
  175. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 21:07 1.39040000 0%
2 21:17 1.38960000 -0.058%
3 21:27 1.38880000 -0.115%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 72%

Trend

Trend Strength
-0.140
Persistence
0.500
High Δ ATR
0.156
Low Δ ATR
-1.113

Current Swing

Amp ATR
3.310
Speed
0.552
Efficiency
0.411

Structure

Retracement
1.447
Extension
1.543
Compression
0.689
Entropy
1.000
Breakout Str.
-1.398
Dist High ATR
-1.094
Dist Low ATR
2.510
24 pivots · 23 swings · Last pivot: ↓ 1.3631 @ bar 142

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 49%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.372
Strength Score 0.527
Quality Score 0.320
Cleanliness Score 0.230
Structural Quality 0.393
Pullback Score 1.000
Exhaustion Score 0.240
Continuation Score 0.452
Structure Score 0.311
Volatility Expansion 0.394
Momentum Type Score 0.528
Risk Score 0.147
Features
Ema20 Slope
0.034
Ema50 Slope
-0.031
Ema Alignment Score
0.333
Price Vs Ema20
0.174
Price Vs Ema50
-0.796
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.539
Trend Efficiency
0.411
Impulse Strength
3.310
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.447
Pullback Depth Atr
3.591
Extension From Mean
-0.796
Impulse Decay Score
0.228
Opposing Wick Pressure
0.315
Volatility Percentile
0.480
Volatility Delta
-0.141
Body Ratio
0.454
Closes Position Ratio
0.501
Slope Consistency
0.465
Range Position
0.147
Distance To Recent High
-15.587
Distance To Recent Low
2.675
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7258ms Confidence avant OB : 65%65%

Order Book Imbalance

OBI Top 5 0.018
avg 0.017 ± 0.001
OBI Top 10 0.018

Microstructure

Mid Price
1.3914
Micro Price
1.3914
Spread
0.0072%

📌 Time Data

Start at Closed at Duration
18 May 2026
21:07:52
19 May 2026
15:20:00
18 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.3904 1.4032 1.3584 2.5 1.0055
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 1.3904
  • Stop Loss: 1.4032
  • Take Profit: 1.3584

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4032 - 1.3904 = 0.0128

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.3904 - 1.3584 = 0.032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.032 / 0.0128 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
868.5901 100 624.7052 8.69
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 0.0128

Taille de position = 8 / 0.0128 = 625

Taille de position USD = 625 x 1.3904 = 869

Donc, tu peux acheter 625 avec un stoploss a 1.4032

Avec un position size USD de 869$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 625 x 0.0128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 625 x 0.032 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position 625
  • Taille de position USD 869
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
2.3 % 19.99 $
SL % Target SL $ Target
0.92 % 8 $
PNL PNL %
19.99 $ 2.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1079 % 11.72 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0134
            [max_drawdown] => 0.0014999999999998
            [rr_ratio] => 8.93
            [high] => 1.39190000
            [low] => 1.37700000
            [mfe_pct] => 0.96
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 8.93
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T21:07:52-04:00
            [end_at] => 2026-05-18T23:07:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0134
            [max_drawdown] => 0.0014999999999998
            [rr_ratio] => 8.93
            [high] => 1.39190000
            [low] => 1.37700000
            [mfe_pct] => 0.96
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 8.93
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T21:07:52-04:00
            [end_at] => 2026-05-19T04:07:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.39730000
            [high_after] => 1.39190000
            [low_before] => 1.38300000
            [low_after] => 1.37700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#58 / 95 OUT
seuil : top 15 · score du 18/05/2026 21:00
Signal Confidence
65 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime