26 May 2026 at 09:52:48

Long Trade on XRP (BosPullback)

With 704.28 XRP at 1.358$ per unit. Take profit: 1.3862 (2.09 %) & Stop Loss: 1.3464 (0.84 %)

Long BosPullback on XRP (26 May 2026 at 09:52:48 to 11:20:00 - 1 hour )

With 704.278 XRP at 1.3578$ per unit.

Position size of 956.2687 $
Take profit at 1.3862 (2.09 %) and Stop Loss at 1.3464 (0.84 %)

That's a 2.49 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.45
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 : range

rules_regime : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : range_high

rules_regime_4h : range_medium

tf_aligned : 1

26/05 09:01

BTC Correlation Coin Market Regime

1H_regime : range_medium

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 fading compression bear_high
70%
26/05 12:00
1h ↔ neutral transition bullish_transition moderate grind expansion range_medium
46%
26/05 13:00
15m ↑ up range range moderate grind expansion_after_compression range_low
51%
26/05 13:30
5m ↔ neutral range range strong balanced expansion_after_compression range_low
49%
26/05 13:40

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=3|retests=1|break_atr=0.84|prog=0.72|zone=tested
  4. stop_price: 1.34644085
  5. tp_price: 1.38619787
  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 : 0.592
  12. trend_strength : 0.0364
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.1869
  15. low_delta_atr : 1.1095
  16. current_swing_amp_atr : 1.6078
  17. current_swing_speed : 0.80389
  18. current_swing_efficiency : 0.3469
  19. retracement_ratio : 0.5805
  20. extension_ratio : 1.0531
  21. compression_score : 0.5771
  22. swing_entropy : 1
  23. breakout_strength : -2.2189
  24. distance_to_last_high_atr : -0.4257
  25. distance_to_last_low_atr : 1.1095
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.3472
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.422
  46. state : neutral_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5845
  49. scores_strength_score:
    0.4593
  50. scores_quality_score:
    0.3849
  51. scores_cleanliness_score:
    0.2117
  52. scores_structural_quality:
    0.5267
  53. scores_pullback_score:
    0.5805
  54. scores_exhaustion_score:
    0.3111
  55. scores_continuation_score:
    0.7404
  56. scores_structure_score:
    0.5914
  57. scores_volatility_expansion:
    0.94
  58. scores_momentum_type_score:
    0.529
  59. scores_risk_score:
    0.6164
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0488
  62. features_ema50_slope:
    0.0084
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.7619
  65. features_price_vs_ema50:
    0.6117
  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:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5766
  72. features_trend_efficiency:
    0.3469
  73. features_impulse_strength:
    2.7685
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5805
  76. features_pullback_depth_atr:
    1.6071
  77. features_extension_from_mean:
    0.6117
  78. features_impulse_decay_score:
    0.4734
  79. features_opposing_wick_pressure:
    0.273
  80. features_volatility_percentile:
    0.9
  81. features_volatility_delta:
    0.4346
  82. features_body_ratio:
    0.5147
  83. features_closes_position_ratio:
    0.4916
  84. features_slope_consistency:
    0.4681
  85. features_range_position:
    0.6164
  86. features_distance_to_recent_high:
    -3.541
  87. features_distance_to_recent_low:
    5.6892
  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 : 0.0092
  99. obi_top10 : 0.0092
  100. micro_price : 1.35550498
  101. spread_pct : 0.007377
  102. mid_price : 1.35555
  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 : 0.0105
  111. obi_top5_std : 0.0046
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6942
  115. aggregation_tick : 0.01
  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] => 2026-05-22 15:00:00
        [price] => 1.3464
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-22 17:00:00
        [price] => 1.3589
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-22 18:00:00
        [price] => 1.3332
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-23 00:00:00
        [price] => 1.3263
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-23 03:00:00
        [price] => 1.3411
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-23 08:00:00
        [price] => 1.3076
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-23 21:00:00
        [price] => 1.3721
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-23 22:00:00
        [price] => 1.3519
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-24 10:00:00
        [price] => 1.3705
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 1.3379
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-24 17:00:00
        [price] => 1.3538
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 1.3314
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-25 02:00:00
        [price] => 1.3562
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-25 03:00:00
        [price] => 1.3426
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 1.3652
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 1.3336
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 1.3499
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 1.3386
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 1.3591
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 1.3472
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 1.3652
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-25 15:15:00
        [price] => 1.3566
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-25 16:45:00
        [price] => 1.3634
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-25 19:30:00
        [price] => 1.3536
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-25 20:15:00
        [price] => 1.3588
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-25 20:30:00
        [price] => 1.3509
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-25 22:30:00
        [price] => 1.3461
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-25 22:45:00
        [price] => 1.3509
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-26 00:45:00
        [price] => 1.3344
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-26 01:15:00
        [price] => 1.344
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-26 03:15:00
        [price] => 1.3336
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-26 05:30:00
        [price] => 1.3499
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-26 06:15:00
        [price] => 1.3442
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-26 06:30:00
        [price] => 1.3491
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-26 07:30:00
        [price] => 1.3386
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-26 10:45:00
        [price] => 1.3591
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 1.3472
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-26 13:00:00
        [price] => 1.3556
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-26 13:30:00
        [price] => 1.3476
        [kind] => low
        [label] => HL
    )
    
  162. bos_level_long : 1.3499
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    1.3472
  166. levels_hl_timestamp: 2026-05-26 12:00:00
  167. levels_hh_price:
    1.3591
  168. levels_lh_price:
    1.3591
  169. levels_lh_timestamp: 2026-05-26 10:00:00
  170. levels_ll_price:
    1.3472
  171. strategy_details
  172. demand_zone_top:
    1.344
  173. demand_zone_bottom:
    1.3336
  174. demand_zone_mid:
    1.3388
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8968
  177. strategy_details
  178. supply_zone_top:
    1.3705
  179. supply_zone_bottom:
    1.3599
  180. supply_zone_mid:
    1.3652
  181. supply_zone_freshness: weak
  182. supply_zone_strength:
    0.9342
  183. ¸
  184. regimes
  185. 1H : range_medium
  186. 15m : range_low
  187. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 09:52 1.35780000 0%
2 10:55 1.35110000 -0.493%
3 10:59 1.35110000 -0.493%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 59%

Trend

Trend Strength
0.036
Persistence
0.500
High Δ ATR
1.187
Low Δ ATR
1.110

Current Swing

Amp ATR
1.608
Speed
0.804
Efficiency
0.347

Structure

Retracement
0.581
Extension
1.053
Compression
0.577
Entropy
1.000
Breakout Str.
-2.219
Dist High ATR
-0.426
Dist Low ATR
1.110
31 pivots · 30 swings · Last pivot: ↓ 1.3472 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_transition_grind
Confidence 42%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.585
Strength Score 0.459
Quality Score 0.385
Cleanliness Score 0.212
Structural Quality 0.527
Pullback Score 0.581
Exhaustion Score 0.311
Continuation Score 0.740
Structure Score 0.591
Volatility Expansion 0.940
Momentum Type Score 0.529
Risk Score 0.616
Features
Ema20 Slope
0.049
Ema50 Slope
0.008
Ema Alignment Score
0.667
Price Vs Ema20
0.762
Price Vs Ema50
0.612
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.577
Trend Efficiency
0.347
Impulse Strength
2.769
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.581
Pullback Depth Atr
1.607
Extension From Mean
0.612
Impulse Decay Score
0.473
Opposing Wick Pressure
0.273
Volatility Percentile
0.900
Volatility Delta
0.435
Body Ratio
0.515
Closes Position Ratio
0.492
Slope Consistency
0.468
Range Position
0.616
Distance To Recent High
-3.541
Distance To Recent Low
5.689
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6942ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 0.009
avg 0.011 ± 0.005
OBI Top 10 0.009

Microstructure

Mid Price
1.3556
Micro Price
1.3555
Spread
0.0074%

📌 Time Data

Start at Closed at Duration
26 May 2026
09:52:48
26 May 2026
11:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.3578 1.3464 1.3862 2.49 1.0893
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 1.3578
  • Stop Loss: 1.3464
  • Take Profit: 1.3862

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3464 - 1.3578 = -0.0114

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.3578 - 1.3862 = -0.0284

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0284 / -0.0114 = 2.4912

📌 Position Size

Amount Margin Quantity Leverage
956.2687 100 704.278 9.56
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 -0.0114

Taille de position = 8 / -0.0114 = -701.75

Taille de position USD = -701.75 x 1.3578 = -952.84

Donc, tu peux acheter -701.75 avec un stoploss a 1.3464

Avec un position size USD de -952.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -701.75 x -0.0114 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -701.75 x -0.0284 = 19.93

Si Take Profit atteint, tu gagneras 19.93$

Résumé

  • Taille de position -701.75
  • Taille de position USD -952.84
  • Perte potentielle 8
  • Gain potentiel 19.93
  • Risk-Reward Ratio 2.4912

📌 Peformances

TP % Target TP $ Target
2.09 % 20 $
SL % Target SL $ Target
0.84 % 8.03 $
PNL PNL %
-8.03 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0311 % 122.81 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.3862
            [entry_price] => 1.3578
            [stop_loss] => 1.34526
            [rr_ratio] => 2.26
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-26 15:20:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.3862
            [entry_price] => 1.3578
            [stop_loss] => 1.34412
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-26 15:20:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.3862
            [entry_price] => 1.3578
            [stop_loss] => 1.34298
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-26 15:30:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.3862
            [entry_price] => 1.3578
            [stop_loss] => 1.3407
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0074000000000001
            [max_drawdown] => 0.0189
            [rr_ratio] => 0.39
            [high] => 1.36520000
            [low] => 1.33890000
            [mfe_pct] => 0.54
            [mae_pct] => 1.39
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2026-05-26T09:52:48-04:00
            [end_at] => 2026-05-26T11:52:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074000000000001
            [max_drawdown] => 0.0315
            [rr_ratio] => 0.23
            [high] => 1.36520000
            [low] => 1.32630000
            [mfe_pct] => 0.54
            [mae_pct] => 2.32
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2026-05-26T09:52:48-04:00
            [end_at] => 2026-05-26T16:52:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.35990000
            [high_after] => 1.36520000
            [low_before] => 1.33950000
            [low_after] => 1.32630000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#39 / n/a OUT
seuil : top 15 · score du 26/05/2026 09:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime