18 May 2026 at 21:18:52

Short Trade on DOGE (BosPullback)

With 4547.42 DOGE at 0.105$ per unit. Take profit: 0.1003 (4.2 %) & Stop Loss: 0.1065 (1.72 %)

Short BosPullback on DOGE (18 May 2026 at 21:18:52 to 08:10:00 - 3 days )

With 4547.4182 DOGE at 0.1047$ per unit.

Position size of 476.2511 $
Take profit at 0.1003 (4.2 %) and Stop Loss at 0.1065 (1.72 %)

That's a 2.44 RR Trade
Duration: 3 days

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.11
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_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind normal bear_high
70%
18/05 16:00
1h ↓ down transition bearish_transition moderate grind compression bear_high
75%
18/05 21:00
15m ↑ up transition bullish_transition moderate grind compression range_medium
48%
18/05 21:00
5m ↑ up range range strong explosive compression range_low
51%
18/05 21:10

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.72
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=7|retests=1|break_atr=0.82|prog=0.42|zone=invalid
  4. stop_price: 0.10648924
  5. tp_price: 0.10033191
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
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 : 0.935
  12. trend_strength : -0.2704
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.2174
  15. low_delta_atr : -0.9808
  16. current_swing_amp_atr : 3.1255
  17. current_swing_speed : 0.6251
  18. current_swing_efficiency : 0.4819
  19. retracement_ratio : 1.4049
  20. extension_ratio : 0.7335
  21. compression_score : 0.9429
  22. swing_entropy : 1
  23. breakout_strength : -0.9978
  24. distance_to_last_high_atr : -1.4242
  25. distance_to_last_low_atr : 1.9786
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.10241
  31. last_pivot_index:
    142
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_retest
  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 : 0.599
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.2516
  49. scores_strength_score:
    0.6152
  50. scores_quality_score:
    0.3475
  51. scores_cleanliness_score:
    0.2549
  52. scores_structural_quality:
    0.4233
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4879
  55. scores_continuation_score:
    0.3293
  56. scores_structure_score:
    0.2677
  57. scores_volatility_expansion:
    0.3823
  58. scores_momentum_type_score:
    0.6045
  59. scores_risk_score:
    0.1437
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0188
  62. features_ema50_slope:
    -0.079
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.3097
  65. features_price_vs_ema50:
    -1.9533
  66. features_recent_hh_hl_score:
    0.35
  67. features_recent_lh_ll_score:
    0.65
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4902
  72. features_trend_efficiency:
    0.4819
  73. features_impulse_strength:
    4.2713
  74. features_directional_candle_ratio:
    0.65
  75. features_pullback_depth_ratio:
    1.4049
  76. features_pullback_depth_atr:
    3.0592
  77. features_extension_from_mean:
    -1.9533
  78. features_impulse_decay_score:
    0.6332
  79. features_opposing_wick_pressure:
    0.2547
  80. features_volatility_percentile:
    0.46
  81. features_volatility_delta:
    -0.1405
  82. features_body_ratio:
    0.5075
  83. features_closes_position_ratio:
    0.4631
  84. features_slope_consistency:
    0.7237
  85. features_range_position:
    0.1437
  86. features_distance_to_recent_high:
    -12.6809
  87. features_distance_to_recent_low:
    2.1272
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  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 : 0.086
  99. obi_top10 : 0.086
  100. micro_price : 0.10473992
  101. spread_pct : 0.009548
  102. mid_price : 0.104735
  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 : 0.0977
  111. obi_top5_std : 0.0082
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7102
  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 09:00:00
        [price] => 0.1166
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.11327
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-14 14:00:00
        [price] => 0.11856
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-14 16:00:00
        [price] => 0.11489
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-14 21:00:00
        [price] => 0.1174
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 0.11262
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-15 05:00:00
        [price] => 0.11562
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-15 11:00:00
        [price] => 0.11062
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-15 19:00:00
        [price] => 0.11377
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 09:00:00
        [price] => 0.10766
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 0.11017
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.10802
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 08:00:00
        [price] => 0.11276
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.10951
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.11128
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.10543
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 0.109
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 0.10356
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 0.1064
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 0.10241
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 20:30:00
        [price] => 0.1073
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 0.1058
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 22:15:00
        [price] => 0.10713
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-18 00:15:00
        [price] => 0.10595
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-18 01:00:00
        [price] => 0.10698
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 0.10356
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-18 02:45:00
        [price] => 0.10493
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 03:30:00
        [price] => 0.10362
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 07:30:00
        [price] => 0.10598
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 07:45:00
        [price] => 0.10491
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 0.1064
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 0.10418
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 11:30:00
        [price] => 0.10302
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 12:15:00
        [price] => 0.10431
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 14:45:00
        [price] => 0.10241
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 16:15:00
        [price] => 0.10519
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 17:00:00
        [price] => 0.10385
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 18:15:00
        [price] => 0.10551
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-18 19:45:00
        [price] => 0.10458
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-18 20:15:00
        [price] => 0.10548
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 0.10356
  165. strategy_details
  166. levels_hl_price:
    0.10241
  167. levels_hl_timestamp: 2026-05-18 14:00:00
  168. levels_hh_price:
    0.1064
  169. levels_lh_price:
    0.1064
  170. levels_lh_timestamp: 2026-05-18 09:00:00
  171. levels_ll_price:
    0.10241
  172. demand_zone :
  173. supply_zone :
  174. ¸
  175. regimes
  176. 1H : bear_high
  177. 15m : range_medium
  178. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 21:18 0.10473000 +0.029%
2 21:27 0.10469000 -0.01%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 94%

Trend

Trend Strength
-0.270
Persistence
0.500
High Δ ATR
-2.217
Low Δ ATR
-0.981

Current Swing

Amp ATR
3.126
Speed
0.625
Efficiency
0.482

Structure

Retracement
1.405
Extension
0.734
Compression
0.943
Entropy
1.000
Breakout Str.
-0.998
Dist High ATR
-1.424
Dist Low ATR
1.979
30 pivots · 29 swings · Last pivot: ↓ 0.1024 @ bar 142

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 60%

Context

phase transition
structure bearish_transition
breakout breakout_retest
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.252
Strength Score 0.615
Quality Score 0.348
Cleanliness Score 0.255
Structural Quality 0.423
Pullback Score 1.000
Exhaustion Score 0.488
Continuation Score 0.329
Structure Score 0.268
Volatility Expansion 0.382
Momentum Type Score 0.605
Risk Score 0.144
Features
Ema20 Slope
-0.019
Ema50 Slope
-0.079
Ema Alignment Score
0.000
Price Vs Ema20
-0.310
Price Vs Ema50
-1.953
Recent Hh Hl Score
0.350
Recent Lh Ll Score
0.650
Last Bos Direction
-1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.490
Trend Efficiency
0.482
Impulse Strength
4.271
Directional Candle Ratio
0.650
Pullback Depth Ratio
1.405
Pullback Depth Atr
3.059
Extension From Mean
-1.953
Impulse Decay Score
0.633
Opposing Wick Pressure
0.255
Volatility Percentile
0.460
Volatility Delta
-0.141
Body Ratio
0.508
Closes Position Ratio
0.463
Slope Consistency
0.724
Range Position
0.144
Distance To Recent High
-12.681
Distance To Recent Low
2.127
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7102ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 0.086
avg 0.098 ± 0.008
OBI Top 10 0.086

Microstructure

Mid Price
0.1047
Micro Price
0.1047
Spread
0.0095%

📌 Time Data

Start at Closed at Duration
18 May 2026
21:18:52
22 May 2026
08:10:00
3 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1047 0.1065 0.1003 2.44 0.07013
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 0.1047
  • Stop Loss: 0.1065
  • Take Profit: 0.1003

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1065 - 0.1047 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1047 - 0.1003 = 0.0044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0044 / 0.0018 = 2.4444

📌 Position Size

Amount Margin Quantity Leverage
476.2511 100 4547.4182 4.76
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 0.1047 = 465.33

Donc, tu peux acheter 4444.44 avec un stoploss a 0.1065

Avec un position size USD de 465.33$

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 0.0044 = 19.56

Si Take Profit atteint, tu gagneras 19.56$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 465.33
  • Perte potentielle 8
  • Gain potentiel 19.56
  • Risk-Reward Ratio 2.4444

📌 Peformances

TP % Target TP $ Target
4.2 % 20.01 $
SL % Target SL $ Target
1.72 % 8.19 $
PNL PNL %
-8.19 $ -1.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9293 % 112.22 % 59

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00045000000000001
            [max_drawdown] => 0.00081000000000001
            [rr_ratio] => 0.56
            [high] => 0.10551000
            [low] => 0.10425000
            [mfe_pct] => 0.43
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T21:18:52-04:00
            [end_at] => 2026-05-18T23:18:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0009
            [max_drawdown] => 0.00081000000000001
            [rr_ratio] => 1.11
            [high] => 0.10551000
            [low] => 0.10380000
            [mfe_pct] => 0.86
            [mae_pct] => 0.77
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T21:18:52-04:00
            [end_at] => 2026-05-19T04:18:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10519000
            [high_after] => 0.10551000
            [low_before] => 0.10241000
            [low_after] => 0.10380000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#78 / n/a OUT
seuil : top 15 · score du 18/05/2026 21:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime