12 Jun 2026 at 04:28:08

Long Trade on XRP (BosPullback)

With 498.75 XRP at 1.142$ per unit. Take profit: 1.1689 (2.36 %) & Stop Loss: 1.1259 (1.4 %)

Long BosPullback on XRP (12 Jun 2026 at 04:28:08 to 09:40:00 - 5 hours )

With 498.745 XRP at 1.1419$ per unit.

Position size of 569.517 $
Take profit at 1.1689 (2.36 %) and Stop Loss at 1.1259 (1.4 %)

That's a 1.69 RR Trade
Duration: 5 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.9
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 : bull_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

12/06 04:22

BTC Correlation Coin Market Regime

1H_regime : bull_high

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 grind compression bear_high
70%
11/06 20:00
1h ↔ neutral range range moderate grind compression bull_high
71%
12/06 05:00
15m ↔ neutral range range strong grind compression range_low
49%
12/06 08:00
5m ↔ neutral transition bearish_transition moderate grind normal range_low
46%
12/06 08:05

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=4|retests=1|break_atr=1.99|prog=0.64|zone=invalid
  4. stop_price: 1.12585974
  5. tp_price: 1.1689
  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 : pullback_up
  11. confidence : 1
  12. trend_strength : 0.1721
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.4641
  15. low_delta_atr : 2.2499
  16. current_swing_amp_atr : 2.279
  17. current_swing_speed : 1.13951
  18. current_swing_efficiency : 0.771
  19. retracement_ratio : 0.5085
  20. extension_ratio : 1.1014
  21. compression_score : 0.81
  22. swing_entropy : 1
  23. breakout_strength : -3.7498
  24. distance_to_last_high_atr : -0.8279
  25. distance_to_last_low_atr : 1.4999
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    1.1267
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : strong
  40. exhaustion : low
  41. momentum_type : explosive
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.623
  46. state : up_bullish_transition_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7076
  49. scores_strength_score:
    0.7203
  50. scores_quality_score:
    0.3509
  51. scores_cleanliness_score:
    0.2146
  52. scores_structural_quality:
    0.4625
  53. scores_pullback_score:
    0.5085
  54. scores_exhaustion_score:
    0.3683
  55. scores_continuation_score:
    0.7725
  56. scores_structure_score:
    0.6551
  57. scores_volatility_expansion:
    0.2782
  58. scores_momentum_type_score:
    0.7145
  59. scores_risk_score:
    0.553
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.045
  62. features_ema50_slope:
    0.0402
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.8003
  65. features_price_vs_ema50:
    1.348
  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:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5709
  72. features_trend_efficiency:
    0.771
  73. features_impulse_strength:
    4.5217
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5085
  76. features_pullback_depth_atr:
    2.2993
  77. features_extension_from_mean:
    1.348
  78. features_impulse_decay_score:
    0.4493
  79. features_opposing_wick_pressure:
    0.2826
  80. features_volatility_percentile:
    0.16
  81. features_volatility_delta:
    -0.0267
  82. features_body_ratio:
    0.4644
  83. features_closes_position_ratio:
    0.5147
  84. features_slope_consistency:
    0.8164
  85. features_range_position:
    0.553
  86. features_distance_to_recent_high:
    -4.5264
  87. features_distance_to_recent_low:
    5.5987
  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 : 0.0505
  99. obi_top10 : 0.0505
  100. micro_price : 1.14241317
  101. spread_pct : 0.008754
  102. mid_price : 1.14245
  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 : 0.0502
  111. obi_top5_std : 0.013
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7267
  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] => 2026-06-07 09:00:00
        [price] => 1.1695
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-07 12:00:00
        [price] => 1.1175
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-07 18:00:00
        [price] => 1.1507
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-07 19:00:00
        [price] => 1.1196
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-07 22:00:00
        [price] => 1.1718
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-08 05:00:00
        [price] => 1.1312
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-08 15:00:00
        [price] => 1.1845
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-08 17:00:00
        [price] => 1.1574
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-08 19:00:00
        [price] => 1.186
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-09 02:00:00
        [price] => 1.1425
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-09 06:00:00
        [price] => 1.1761
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-09 16:00:00
        [price] => 1.1179
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-09 17:00:00
        [price] => 1.1467
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-10 09:00:00
        [price] => 1.1005
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-10 13:00:00
        [price] => 1.1369
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-10 21:00:00
        [price] => 1.0878
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-11 11:00:00
        [price] => 1.1253
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-11 17:00:00
        [price] => 1.1036
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-12 04:00:00
        [price] => 1.1506
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-12 06:00:00
        [price] => 1.1267
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-11 08:30:00
        [price] => 1.1232
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-11 10:15:00
        [price] => 1.1139
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-11 10:45:00
        [price] => 1.125
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-11 11:45:00
        [price] => 1.1253
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-11 12:30:00
        [price] => 1.1081
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-11 13:15:00
        [price] => 1.1162
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-11 13:30:00
        [price] => 1.1073
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-11 14:45:00
        [price] => 1.1183
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-11 15:00:00
        [price] => 1.1061
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-11 17:15:00
        [price] => 1.1036
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-11 18:15:00
        [price] => 1.1453
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-11 19:00:00
        [price] => 1.1334
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-11 19:30:00
        [price] => 1.1498
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-11 20:30:00
        [price] => 1.1314
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-11 22:30:00
        [price] => 1.146
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-12 01:15:00
        [price] => 1.1349
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-12 02:00:00
        [price] => 1.1495
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-12 03:15:00
        [price] => 1.14
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-12 04:30:00
        [price] => 1.1506
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-06-12 06:30:00
        [price] => 1.1267
        [kind] => low
        [label] => LL
    )
    
  163. bos_level_long : 1.1253
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    1.1267
  167. levels_hl_timestamp: 2026-06-12 06:00:00
  168. levels_hh_price:
    1.1506
  169. levels_lh_price:
    1.1506
  170. levels_lh_timestamp: 2026-06-12 04:00:00
  171. levels_ll_price:
    1.1267
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    1.1506
  175. supply_zone_bottom:
    1.1349
  176. supply_zone_mid:
    1.14275
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    0.7692
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : range_low
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.172
Persistence
0.500
High Δ ATR
2.464
Low Δ ATR
2.250

Current Swing

Amp ATR
2.279
Speed
1.140
Efficiency
0.771

Structure

Retracement
0.509
Extension
1.101
Compression
0.810
Entropy
1.000
Breakout Str.
-3.750
Dist High ATR
-0.828
Dist Low ATR
1.500
26 pivots · 25 swings · Last pivot: ↓ 1.1267 @ bar 147

Trend Analyzer 1H

1H ↑ up up_bullish_transition_explosive
Confidence 62%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion low
momentum explosive
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.708
Strength Score 0.720
Quality Score 0.351
Cleanliness Score 0.215
Structural Quality 0.463
Pullback Score 0.509
Exhaustion Score 0.368
Continuation Score 0.773
Structure Score 0.655
Volatility Expansion 0.278
Momentum Type Score 0.715
Risk Score 0.553
Features
Ema20 Slope
0.045
Ema50 Slope
0.040
Ema Alignment Score
1.000
Price Vs Ema20
0.800
Price Vs Ema50
1.348
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.571
Trend Efficiency
0.771
Impulse Strength
4.522
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.509
Pullback Depth Atr
2.299
Extension From Mean
1.348
Impulse Decay Score
0.449
Opposing Wick Pressure
0.283
Volatility Percentile
0.160
Volatility Delta
-0.027
Body Ratio
0.464
Closes Position Ratio
0.515
Slope Consistency
0.816
Range Position
0.553
Distance To Recent High
-4.526
Distance To Recent Low
5.599
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7267ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.051
avg 0.050 ± 0.013
OBI Top 10 0.051

Microstructure

Mid Price
1.1425
Micro Price
1.1424
Spread
0.0088%

📌 Time Data

Start at Closed at Duration
12 Jun 2026
04:28:08
12 Jun 2026
09:40:00
5 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1419 1.1259 1.1689 1.69 1.0862
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 1.1419
  • Stop Loss: 1.1259
  • Take Profit: 1.1689

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1259 - 1.1419 = -0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1419 - 1.1689 = -0.027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.027 / -0.016 = 1.6875

📌 Position Size

Amount Margin Quantity Leverage
569.517 100 498.745 5.70
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 -0.016

Taille de position = 8 / -0.016 = -500

Taille de position USD = -500 x 1.1419 = -570.95

Donc, tu peux acheter -500 avec un stoploss a 1.1259

Avec un position size USD de -570.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -500 x -0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -500 x -0.027 = 13.5

Si Take Profit atteint, tu gagneras 13.5$

Résumé

  • Taille de position -500
  • Taille de position USD -570.95
  • Perte potentielle 8
  • Gain potentiel 13.5
  • Risk-Reward Ratio 1.6875

📌 Peformances

TP % Target TP $ Target
2.36 % 13.47 $
SL % Target SL $ Target
1.4 % 7.98 $
PNL PNL %
-7.98 $ -1.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4537 % 103.75 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0094000000000001
            [max_drawdown] => 0.0031999999999999
            [rr_ratio] => 2.94
            [high] => 1.15130000
            [low] => 1.13870000
            [mfe_pct] => 0.82
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 2.94
            [candles_analyzed] => 24
            [start_at] => 2026-06-12T04:28:08-04:00
            [end_at] => 2026-06-12T06:28:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0153
            [max_drawdown] => 0.0166
            [rr_ratio] => 0.92
            [high] => 1.15720000
            [low] => 1.12530000
            [mfe_pct] => 1.34
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 84
            [start_at] => 2026-06-12T04:28:08-04:00
            [end_at] => 2026-06-12T11:28:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.15060000
            [high_after] => 1.15130000
            [low_before] => 1.12670000
            [low_after] => 1.12530000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#19 / n/a OUT
seuil : top 15 · score du 12/06/2026 03:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime