18 May 2026 at 22:13:43

Short Trade on XLM (BosPullback)

With 4383.35 XLM at 0.147$ per unit. Take profit: 0.1421 (3.07 %) & Stop Loss: 0.1485 (1.3 %)

Short BosPullback on XLM (18 May 2026 at 22:13:43 to 09:35:00 - 1 day )

With 4383.3455 XLM at 0.1466$ per unit.

Position size of 642.8176 $
Take profit at 0.1421 (3.07 %) and Stop Loss at 0.1485 (1.3 %)

That's a 2.37 RR Trade
Duration: 1 day

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.74
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 :

18/05 22:01

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%
18/05 20:00
1h ↓ down transition bearish_transition moderate grind normal bear_high
72%
18/05 21:00
15m ↔ neutral transition bullish_transition strong explosive compression range_low
46%
18/05 22:00
5m ↔ neutral transition bearish_transition strong explosive expansion range_low
50%
18/05 22:00

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=8|retests=1|break_atr=1.28|prog=0.44|zone=weak
  4. stop_price: 0.14847509
  5. tp_price: 0.14208727
  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_down
  11. confidence : 0.628
  12. trend_strength : -0.1583
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.7754
  15. low_delta_atr : -1.4216
  16. current_swing_amp_atr : 2.9414
  17. current_swing_speed : 0.49023
  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 : -2.1566
  24. distance_to_last_high_atr : -1.3812
  25. distance_to_last_low_atr : 1.7366
  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:
    147
  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 : 0.542
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2885
  49. scores_strength_score:
    0.5489
  50. scores_quality_score:
    0.372
  51. scores_cleanliness_score:
    0.2451
  52. scores_structural_quality:
    0.4758
  53. scores_pullback_score:
    0.8008
  54. scores_exhaustion_score:
    0.3941
  55. scores_continuation_score:
    0.3722
  56. scores_structure_score:
    0.3273
  57. scores_volatility_expansion:
    0.4372
  58. scores_momentum_type_score:
    0.5498
  59. scores_risk_score:
    0.089
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0186
  62. features_ema50_slope:
    -0.0696
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.5855
  65. features_price_vs_ema50:
    -2.0352
  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:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5097
  72. features_trend_efficiency:
    0.3701
  73. features_impulse_strength:
    3.8724
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    0.8008
  76. features_pullback_depth_atr:
    3.101
  77. features_extension_from_mean:
    -2.0352
  78. features_impulse_decay_score:
    0.3693
  79. features_opposing_wick_pressure:
    0.2731
  80. features_volatility_percentile:
    0.48
  81. features_volatility_delta:
    -0.0762
  82. features_body_ratio:
    0.5189
  83. features_closes_position_ratio:
    0.4362
  84. features_slope_consistency:
    0.6332
  85. features_range_position:
    0.089
  86. features_distance_to_recent_high:
    -18.3625
  87. features_distance_to_recent_low:
    1.7945
  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 : -0.0816
  99. obi_top10 : 0.0037
  100. micro_price : 0.14669643
  101. spread_pct : 0.006817
  102. mid_price : 0.146695
  103. bid_wall_price : 0.146
  104. bid_wall_size : 6691975.6
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.148
  107. ask_wall_size : 6364709
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0808
  111. obi_top5_std : 0.0006
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7041
  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] => 2026-05-17 22:00:00
        [price] => 0.15035
        [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 07:30:00
        [price] => 0.14867
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 07:45:00
        [price] => 0.14771
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 0.14932
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 0.14676
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 0.148
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 0.14524
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 12:00:00
        [price] => 0.14656
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 14:15:00
        [price] => 0.1445
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 0.14768
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 17:00:00
        [price] => 0.14588
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 18:15:00
        [price] => 0.14787
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 19:45:00
        [price] => 0.14695
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 0.14836
        [kind] => high
        [label] => HH
    )
    
  160. bos_level_long : 0
  161. bos_level_short : 0.14626
  162. strategy_details
  163. levels_hl_price:
    0.1445
  164. levels_hl_timestamp: 2026-05-18 14:00:00
  165. levels_hh_price:
    0.14836
  166. levels_lh_price:
    0.14836
  167. levels_lh_timestamp: 2026-05-18 20:00:00
  168. levels_ll_price:
    0.1445
  169. strategy_details
  170. demand_zone_top:
    0.14656
  171. demand_zone_bottom:
    0.1445
  172. demand_zone_mid:
    0.14553
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.7416
  175. strategy_details
  176. supply_zone_top:
    0.15035
  177. supply_zone_bottom:
    0.14806
  178. supply_zone_mid:
    0.149205
  179. supply_zone_freshness: weak
  180. supply_zone_strength:
    0.8184
  181. ¸
  182. regimes
  183. 1H : bear_high
  184. 15m : range_low
  185. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 63%

Trend

Trend Strength
-0.158
Persistence
0.500
High Δ ATR
-0.775
Low Δ ATR
-1.422

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.
-2.157
Dist High ATR
-1.381
Dist Low ATR
1.737
25 pivots · 24 swings · Last pivot: ↑ 0.1484 @ bar 147

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 54%

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 0.289
Strength Score 0.549
Quality Score 0.372
Cleanliness Score 0.245
Structural Quality 0.476
Pullback Score 0.801
Exhaustion Score 0.394
Continuation Score 0.372
Structure Score 0.327
Volatility Expansion 0.437
Momentum Type Score 0.550
Risk Score 0.089
Features
Ema20 Slope
-0.019
Ema50 Slope
-0.070
Ema Alignment Score
0.000
Price Vs Ema20
-0.586
Price Vs Ema50
-2.035
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.510
Trend Efficiency
0.370
Impulse Strength
3.872
Directional Candle Ratio
0.650
Pullback Depth Ratio
0.801
Pullback Depth Atr
3.101
Extension From Mean
-2.035
Impulse Decay Score
0.369
Opposing Wick Pressure
0.273
Volatility Percentile
0.480
Volatility Delta
-0.076
Body Ratio
0.519
Closes Position Ratio
0.436
Slope Consistency
0.633
Range Position
0.089
Distance To Recent High
-18.363
Distance To Recent Low
1.795
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7041ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.082
avg -0.081 ± 0.001
OBI Top 10 0.004

Microstructure

Mid Price
0.1467
Micro Price
0.1467
Spread
0.0068%

↑ Bid Wall (Support)

Price
0.1460
Size
6,691,975.60

↓ Ask Wall (Resistance)

Price
0.1480
Size
6,364,709.00

📌 Time Data

Start at Closed at Duration
18 May 2026
22:13:43
20 May 2026
09:35:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1466 0.1485 0.1421 2.37 0.1559
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 0.1466
  • Stop Loss: 0.1485
  • Take Profit: 0.1421

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1485 - 0.1466 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1466 - 0.1421 = 0.0045

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0045 / 0.0019 = 2.3684

📌 Position Size

Amount Margin Quantity Leverage
642.8176 100 4383.3455 6.43
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.1466 = 617.26

Donc, tu peux acheter 4210.53 avec un stoploss a 0.1485

Avec un position size USD de 617.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0045 = 18.95

Si Take Profit atteint, tu gagneras 18.95$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 617.26
  • Perte potentielle 8
  • Gain potentiel 18.95
  • Risk-Reward Ratio 2.3684

📌 Peformances

TP % Target TP $ Target
3.07 % 19.73 $
SL % Target SL $ Target
1.3 % 8.33 $
PNL PNL %
19.73 $ 3.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.03 % 79.48 % 27

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00036
            [max_drawdown] => 0.00070999999999999
            [rr_ratio] => 0.51
            [high] => 0.14731000
            [low] => 0.14624000
            [mfe_pct] => 0.25
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T22:13:43-04:00
            [end_at] => 2026-05-19T00:13:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00085000000000002
            [max_drawdown] => 0.00151
            [rr_ratio] => 0.56
            [high] => 0.14811000
            [low] => 0.14575000
            [mfe_pct] => 0.58
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T22:13:43-04:00
            [end_at] => 2026-05-19T05:13:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14836000
            [high_after] => 0.14731000
            [low_before] => 0.14640000
            [low_after] => 0.14575000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#61 / n/a OUT
seuil : top 15 · score du 18/05/2026 22:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime