19 May 2026 at 02:18:02

Short Trade on XLM (BosPullback)

With 4636.9 XLM at 0.147$ per unit. Take profit: 0.1424 (2.93 %) & Stop Loss: 0.1485 (1.23 %)

Short BosPullback on XLM (19 May 2026 at 02:18:02 to 20:20:00 - 18 hours )

With 4636.9016 XLM at 0.1467$ per unit.

Position size of 680.3726 $
Take profit at 0.1424 (2.93 %) and Stop Loss at 0.1485 (1.23 %)

That's a 2.39 RR Trade
Duration: 18 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 3.38
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 : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 2

ml_regime : range_medium

rules_regime : bear_medium

rules_regime_5m : range_low

tf_aligned :

19/05 02:01

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 ↓ down range range moderate grind compression bear_high
70%
19/05 00:00
1h ↓ down transition bearish_transition moderate grind normal bear_high
74%
19/05 01:00
15m ↓ down transition bearish_transition moderate grind compression range_low
52%
19/05 02:00
5m ↓ down transition bearish_transition strong explosive normal range_low
53%
19/05 02:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=12|retests=1|break_atr=1.38|prog=0.42|zone=weak
  4. stop_price: 0.14845529
  5. tp_price: 0.14241679
  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_down
  11. confidence : 0.67
  12. trend_strength : -0.1583
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.8346
  15. low_delta_atr : -1.5301
  16. current_swing_amp_atr : 2.9413
  17. current_swing_speed : 0.49022
  18. current_swing_efficiency : 0.3701
  19. retracement_ratio : 0.8008
  20. extension_ratio : 1.2614
  21. compression_score : 0.6854
  22. swing_entropy : 1
  23. breakout_strength : -2.2516
  24. distance_to_last_high_atr : -1.417
  25. distance_to_last_low_atr : 1.9386
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.14836
  31. last_pivot_index:
    143
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.545
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2832
  49. scores_strength_score:
    0.5139
  50. scores_quality_score:
    0.3607
  51. scores_cleanliness_score:
    0.2403
  52. scores_structural_quality:
    0.4592
  53. scores_pullback_score:
    0.8008
  54. scores_exhaustion_score:
    0.382
  55. scores_continuation_score:
    0.3737
  56. scores_structure_score:
    0.3273
  57. scores_volatility_expansion:
    0.3854
  58. scores_momentum_type_score:
    0.564
  59. scores_risk_score:
    0.0923
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0535
  62. features_ema50_slope:
    -0.0854
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.3906
  65. features_price_vs_ema50:
    -1.9026
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    12
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5195
  72. features_trend_efficiency:
    0.3701
  73. features_impulse_strength:
    3.8724
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.8008
  76. features_pullback_depth_atr:
    3.101
  77. features_extension_from_mean:
    -1.9026
  78. features_impulse_decay_score:
    0.3693
  79. features_opposing_wick_pressure:
    0.2711
  80. features_volatility_percentile:
    0.36
  81. features_volatility_delta:
    -0.0459
  82. features_body_ratio:
    0.5205
  83. features_closes_position_ratio:
    0.4865
  84. features_slope_consistency:
    0.64
  85. features_range_position:
    0.0923
  86. features_distance_to_recent_high:
    -20.7541
  87. features_distance_to_recent_low:
    2.1114
  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 : -0.1056
  99. obi_top10 : -0.0355
  100. micro_price : 0.14659404
  101. spread_pct : 0.006822
  102. mid_price : 0.146595
  103. bid_wall_price : 0.146
  104. bid_wall_size : 6936442.8
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.147
  107. ask_wall_size : 5943859.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0842
  111. obi_top5_std : 0.0129
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7158
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : pullback_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.15825
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-14 11:00:00
        [price] => 0.16471
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.16186
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-14 14:00:00
        [price] => 0.16865
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 0.15345
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 13:00:00
        [price] => 0.15604
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 0.15021
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 04:00:00
        [price] => 0.15239
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 0.15015
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 12:00:00
        [price] => 0.15294
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 0.15011
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.15286
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.15014
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.15191
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.1455
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 0.15035
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 0.14626
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 0.14932
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 0.1445
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 0.14836
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-18 01:30:00
        [price] => 0.1491
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 0.1472
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-18 03:00:00
        [price] => 0.14838
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 06:15:00
        [price] => 0.14626
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 0.14932
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 0.14676
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 0.148
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 0.14524
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 12:00:00
        [price] => 0.14656
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 14:15:00
        [price] => 0.1445
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 0.14768
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 17:00:00
        [price] => 0.14588
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 18:15:00
        [price] => 0.14787
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 19:45:00
        [price] => 0.14695
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 0.14836
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 23:00:00
        [price] => 0.14624
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-19 00:00:00
        [price] => 0.14721
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-19 01:15:00
        [price] => 0.14575
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 0.14626
  163. strategy_details
  164. levels_hl_price:
    0.1445
  165. levels_hl_timestamp: 2026-05-18 14:00:00
  166. levels_hh_price:
    0.14836
  167. levels_lh_price:
    0.14836
  168. levels_lh_timestamp: 2026-05-18 20:00:00
  169. levels_ll_price:
    0.1445
  170. strategy_details
  171. demand_zone_top:
    0.14656
  172. demand_zone_bottom:
    0.1445
  173. demand_zone_mid:
    0.14553
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.7416
  176. strategy_details
  177. supply_zone_top:
    0.15035
  178. supply_zone_bottom:
    0.14806
  179. supply_zone_mid:
    0.149205
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.8183
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : range_low
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 67%

Trend

Trend Strength
-0.158
Persistence
0.500
High Δ ATR
-0.835
Low Δ ATR
-1.530

Current Swing

Amp ATR
2.941
Speed
0.490
Efficiency
0.370

Structure

Retracement
0.801
Extension
1.261
Compression
0.685
Entropy
1.000
Breakout Str.
-2.252
Dist High ATR
-1.417
Dist Low ATR
1.939
25 pivots · 24 swings · Last pivot: ↑ 0.1484 @ bar 143

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 55%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.283
Strength Score 0.514
Quality Score 0.361
Cleanliness Score 0.240
Structural Quality 0.459
Pullback Score 0.801
Exhaustion Score 0.382
Continuation Score 0.374
Structure Score 0.327
Volatility Expansion 0.385
Momentum Type Score 0.564
Risk Score 0.092
Features
Ema20 Slope
-0.054
Ema50 Slope
-0.085
Ema Alignment Score
0.000
Price Vs Ema20
-0.391
Price Vs Ema50
-1.903
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
12.000
Candle Overlap Ratio
1.000
Wick Ratio
0.520
Trend Efficiency
0.370
Impulse Strength
3.872
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.801
Pullback Depth Atr
3.101
Extension From Mean
-1.903
Impulse Decay Score
0.369
Opposing Wick Pressure
0.271
Volatility Percentile
0.360
Volatility Delta
-0.046
Body Ratio
0.521
Closes Position Ratio
0.487
Slope Consistency
0.640
Range Position
0.092
Distance To Recent High
-20.754
Distance To Recent Low
2.111
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7158ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.106
avg -0.084 ± 0.013
OBI Top 10 -0.036

Microstructure

Mid Price
0.1466
Micro Price
0.1466
Spread
0.0068%

↑ Bid Wall (Support)

Price
0.1460
Size
6,936,442.80

↓ Ask Wall (Resistance)

Price
0.1470
Size
5,943,859.60

📌 Time Data

Start at Closed at Duration
19 May 2026
02:18:02
19 May 2026
20:20:00
18 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1467 0.1485 0.1424 2.39 0.1532
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 0.1467
  • Stop Loss: 0.1485
  • Take Profit: 0.1424

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1485 - 0.1467 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1467 - 0.1424 = 0.0043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0043 / 0.0018 = 2.3889

📌 Position Size

Amount Margin Quantity Leverage
680.3726 100 4636.9016 6.80
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.1467 = 652

Donc, tu peux acheter 4444.44 avec un stoploss a 0.1485

Avec un position size USD de 652$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0043 = 19.11

Si Take Profit atteint, tu gagneras 19.11$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 652
  • Perte potentielle 8
  • Gain potentiel 19.11
  • Risk-Reward Ratio 2.3889

📌 Peformances

TP % Target TP $ Target
2.93 % 19.94 $
SL % Target SL $ Target
1.23 % 8.35 $
PNL PNL %
19.94 $ 2.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9611 % 78.33 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00037000000000001
            [max_drawdown] => 0.00053
            [rr_ratio] => 0.7
            [high] => 0.14723000
            [low] => 0.14633000
            [mfe_pct] => 0.25
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 0.7
            [candles_analyzed] => 24
            [start_at] => 2026-05-19T02:18:02-04:00
            [end_at] => 2026-05-19T04:18:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00192
            [max_drawdown] => 0.00141
            [rr_ratio] => 1.36
            [high] => 0.14811000
            [low] => 0.14478000
            [mfe_pct] => 1.31
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 1.36
            [candles_analyzed] => 84
            [start_at] => 2026-05-19T02:18:02-04:00
            [end_at] => 2026-05-19T09:18:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14731000
            [high_after] => 0.14811000
            [low_before] => 0.14575000
            [low_after] => 0.14478000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#62 / n/a OUT
seuil : top 15 · score du 19/05/2026 02:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime