24 May 2026 at 22:31:46

Short Trade on DOGE (BosPullback)

With 9268.06 DOGE at 0.102$ per unit. Take profit: 0.09951 (2.15 %) & Stop Loss: 0.1025 (0.79 %)

Short BosPullback on DOGE (24 May 2026 at 22:31:46 to 00:45:00 - 2 hours )

With 9268.0553 DOGE at 0.1017$ per unit.

Position size of 942.2832 $
Take profit at 0.09951 (2.15 %) and Stop Loss at 0.1025 (0.79 %)

That's a 2.74 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
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 : bull_high

rules_regime_4h : bear_medium

tf_aligned :

24/05 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 transition bearish_transition moderate grind compression bear_high
74%
24/05 16:00
1h ↓ down range range moderate grind normal bear_high
73%
24/05 18:00
15m ↓ down transition bearish_transition moderate grind volatile_reversal range_low
42%
24/05 18:30
5m ↔ neutral range range strong explosive expansion range_low
48%
25/05 02:30

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.93
  3. reason: bos_pullback_short|score=4|shallow|bars_since_bos=1|retests=1|break_atr=0.67|prog=0.42|zone=tested
  4. stop_price: 0.10253318
  5. tp_price: 0.09951205
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : range
  11. confidence : 0.897
  12. trend_strength : 0.0515
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.7947
  15. low_delta_atr : -0.8089
  16. current_swing_amp_atr : 2.6984
  17. current_swing_speed : 0.67461
  18. current_swing_efficiency : 0.5958
  19. retracement_ratio : 1.4741
  20. extension_ratio : 0.7184
  21. compression_score : 0.699
  22. swing_entropy : 1
  23. breakout_strength : -0.6446
  24. distance_to_last_high_atr : -1.0617
  25. distance_to_last_low_atr : 1.4535
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.10046
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.529
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3181
  49. scores_strength_score:
    0.6167
  50. scores_quality_score:
    0.3012
  51. scores_cleanliness_score:
    0.2313
  52. scores_structural_quality:
    0.3583
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4159
  55. scores_continuation_score:
    0.3775
  56. scores_structure_score:
    0.384
  57. scores_volatility_expansion:
    0.5288
  58. scores_momentum_type_score:
    0.6061
  59. scores_risk_score:
    0.3776
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0975
  62. features_ema50_slope:
    -0.0523
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.6539
  65. features_price_vs_ema50:
    -1.1125
  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:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5374
  72. features_trend_efficiency:
    0.5958
  73. features_impulse_strength:
    3.464
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.4741
  76. features_pullback_depth_atr:
    2.7254
  77. features_extension_from_mean:
    -1.1125
  78. features_impulse_decay_score:
    0.6408
  79. features_opposing_wick_pressure:
    0.2488
  80. features_volatility_percentile:
    0.6
  81. features_volatility_delta:
    -0.0468
  82. features_body_ratio:
    0.4704
  83. features_closes_position_ratio:
    0.4839
  84. features_slope_consistency:
    0.5371
  85. features_range_position:
    0.3776
  86. features_distance_to_recent_high:
    -6.1479
  87. features_distance_to_recent_low:
    3.7296
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : 0.0175
  99. obi_top10 : 0.0175
  100. micro_price : 0.10222998
  101. spread_pct : 0.009783
  102. mid_price : 0.102225
  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 : 0.0166
  111. obi_top5_std : 0.0015
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7212
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-20 11:00:00
        [price] => 0.10494
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-20 18:00:00
        [price] => 0.10288
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-21 00:00:00
        [price] => 0.10607
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-21 02:00:00
        [price] => 0.10476
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-21 04:00:00
        [price] => 0.10633
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-21 06:00:00
        [price] => 0.10376
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-21 13:00:00
        [price] => 0.10648
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-21 14:00:00
        [price] => 0.10487
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-21 22:00:00
        [price] => 0.10624
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-22 03:00:00
        [price] => 0.10484
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-22 08:00:00
        [price] => 0.10672
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-22 15:00:00
        [price] => 0.10273
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-22 17:00:00
        [price] => 0.10431
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-23 03:00:00
        [price] => 0.09851
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-23 17:00:00
        [price] => 0.10489
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-24 01:00:00
        [price] => 0.10237
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-24 06:00:00
        [price] => 0.10387
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-24 10:00:00
        [price] => 0.1011
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-24 13:00:00
        [price] => 0.10245
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-24 17:00:00
        [price] => 0.10046
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-23 18:00:00
        [price] => 0.10389
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-23 18:30:00
        [price] => 0.10242
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-23 20:45:00
        [price] => 0.10331
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-23 22:15:00
        [price] => 0.10275
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-23 23:00:00
        [price] => 0.10326
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-23 23:30:00
        [price] => 0.10271
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-24 00:30:00
        [price] => 0.10322
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-24 01:30:00
        [price] => 0.10237
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-24 02:45:00
        [price] => 0.10317
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-24 04:00:00
        [price] => 0.1026
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-24 06:15:00
        [price] => 0.10387
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-24 06:45:00
        [price] => 0.10284
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-24 07:45:00
        [price] => 0.10358
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-24 08:15:00
        [price] => 0.10271
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-24 09:15:00
        [price] => 0.10322
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-24 10:15:00
        [price] => 0.1011
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-24 13:45:00
        [price] => 0.10245
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-24 17:45:00
        [price] => 0.10046
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0
  162. bos_level_short : 0.1011
  163. strategy_details
  164. levels_hl_price:
    0.10046
  165. levels_hl_timestamp: 2026-05-24 17:00:00
  166. levels_hh_price:
    0.10245
  167. levels_lh_price:
    0.10245
  168. levels_lh_timestamp: 2026-05-24 13:00:00
  169. levels_ll_price:
    0.10046
  170. demand_zone :
  171. strategy_details
  172. supply_zone_top:
    0.10387
  173. supply_zone_bottom:
    0.1026
  174. supply_zone_mid:
    0.103235
  175. supply_zone_freshness: tested
  176. supply_zone_strength:
    0.9056
  177. ¸
  178. regimes
  179. 1H : bear_high
  180. 15m : range_low
  181. ¸

Signaux confirmants (3)

# Heure Entry Δ
1 22:31 0.10167000 -0.029%
2 22:39 0.10167000 -0.029%
3 22:42 0.10167000 -0.029%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 90%

Trend

Trend Strength
0.052
Persistence
0.500
High Δ ATR
-1.795
Low Δ ATR
-0.809

Current Swing

Amp ATR
2.698
Speed
0.675
Efficiency
0.596

Structure

Retracement
1.474
Extension
0.718
Compression
0.699
Entropy
1.000
Breakout Str.
-0.645
Dist High ATR
-1.062
Dist Low ATR
1.454
26 pivots · 25 swings · Last pivot: ↓ 0.1005 @ bar 148

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 53%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility normal
risk mid_range
htf unknown
Scores
Direction Score 0.318
Strength Score 0.617
Quality Score 0.301
Cleanliness Score 0.231
Structural Quality 0.358
Pullback Score 1.000
Exhaustion Score 0.416
Continuation Score 0.378
Structure Score 0.384
Volatility Expansion 0.529
Momentum Type Score 0.606
Risk Score 0.378
Features
Ema20 Slope
-0.098
Ema50 Slope
-0.052
Ema Alignment Score
0.000
Price Vs Ema20
-0.654
Price Vs Ema50
-1.113
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
-1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.537
Trend Efficiency
0.596
Impulse Strength
3.464
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.474
Pullback Depth Atr
2.725
Extension From Mean
-1.113
Impulse Decay Score
0.641
Opposing Wick Pressure
0.249
Volatility Percentile
0.600
Volatility Delta
-0.047
Body Ratio
0.470
Closes Position Ratio
0.484
Slope Consistency
0.537
Range Position
0.378
Distance To Recent High
-6.148
Distance To Recent Low
3.730
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7212ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 0.018
avg 0.017 ± 0.002
OBI Top 10 0.018

Microstructure

Mid Price
0.1022
Micro Price
0.1022
Spread
0.0098%

📌 Time Data

Start at Closed at Duration
24 May 2026
22:31:46
25 May 2026
00:45:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1017 0.1025 0.09951 2.74 0.07169
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 0.1017
  • Stop Loss: 0.1025
  • Take Profit: 0.09951

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1025 - 0.1017 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1017 - 0.09951 = 0.00219

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00219 / 0.0008 = 2.7375

📌 Position Size

Amount Margin Quantity Leverage
942.2832 100 9268.0553 9.42
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1017 = 1017

Donc, tu peux acheter 10000 avec un stoploss a 0.1025

Avec un position size USD de 1017$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.00219 = 21.9

Si Take Profit atteint, tu gagneras 21.9$

Résumé

  • Taille de position 10000
  • Taille de position USD 1017
  • Perte potentielle 8
  • Gain potentiel 21.9
  • Risk-Reward Ratio 2.7375

📌 Peformances

TP % Target TP $ Target
2.15 % 20.3 $
SL % Target SL $ Target
0.79 % 7.41 $
PNL PNL %
-7.41 $ -0.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.826 % 105.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09951
            [entry_price] => 0.1017
            [stop_loss] => 0.10258
            [rr_ratio] => 2.49
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-25 00:15:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09951
            [entry_price] => 0.1017
            [stop_loss] => 0.10266
            [rr_ratio] => 2.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-25 00:20:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09951
            [entry_price] => 0.1017
            [stop_loss] => 0.10274
            [rr_ratio] => 2.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-25 00:30:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09951
            [entry_price] => 0.1017
            [stop_loss] => 0.1029
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-25 05:45:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00059000000000001
            [rr_ratio] => 0
            [high] => 0.10229000
            [low] => 0.10170000
            [mfe_pct] => 0
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2026-05-24T22:31:46-04:00
            [end_at] => 2026-05-25T00:31:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00158
            [rr_ratio] => 0
            [high] => 0.10328000
            [low] => 0.10170000
            [mfe_pct] => 0
            [mae_pct] => 1.55
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2026-05-24T22:31:46-04:00
            [end_at] => 2026-05-25T05:31:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10280000
            [high_after] => 0.10328000
            [low_before] => 0.10138000
            [low_after] => 0.10170000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#23 / n/a OUT
seuil : top 15 · score du 24/05/2026 22:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime