14 May 2026 at 17:07:25

Long Trade on DOGE (BosPullback)

With 2625.5 DOGE at 0.116$ per unit. Take profit: 0.1238 (6.63 %) & Stop Loss: 0.1131 (2.58 %)

Long BosPullback on DOGE (14 May 2026 at 17:07:25 to 01:30:00 - 8 hours )

With 2625.4988 DOGE at 0.1161$ per unit.

Position size of 304.9517 $
Take profit at 0.1238 (6.63 %) and Stop Loss at 0.1131 (2.58 %)

That's a 2.57 RR Trade
Duration: 8 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.55
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 : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

Score : 2

ml_regime : bull_medium_confirmed

rules_regime : bull_medium_confirmed

rules_regime_5m : range_low

tf_aligned :

14/05 17:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_medium

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=0.43|prog=0.54|zone=tested
  4. stop_price: 0.11310296
  5. tp_price: 0.1237676
  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 : pullback_up
  11. confidence : 0.46
  12. trend_strength : 0.1164
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2339
  15. low_delta_atr : 0.3714
  16. current_swing_amp_atr : 3.1387
  17. current_swing_speed : 1.56933
  18. current_swing_efficiency : 0.7482
  19. retracement_ratio : 1.5886
  20. extension_ratio : 1.3495
  21. compression_score : 1.1892
  22. swing_entropy : 1
  23. breakout_strength : -0.2833
  24. distance_to_last_high_atr : -1.5172
  25. distance_to_last_low_atr : 1.8131
  26. pivot_count : 31
  27. swing_count : 30
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.11856
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : early_expansion
  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 : expansion
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.537
  46. state : up_early_expansion_explosive
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.73
  49. scores_strength_score:
    0.6722
  50. scores_quality_score:
    0.3396
  51. scores_cleanliness_score:
    0.2535
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3357
  55. scores_continuation_score:
    0.5663
  56. scores_structure_score:
    0.6854
  57. scores_volatility_expansion:
    0.6759
  58. scores_momentum_type_score:
    0.7377
  59. scores_risk_score:
    0.8047
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1171
  62. features_ema50_slope:
    0.0801
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.8416
  65. features_price_vs_ema50:
    1.7444
  66. features_recent_hh_hl_score:
    0.6
  67. features_recent_lh_ll_score:
    0.4
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.493
  72. features_trend_efficiency:
    0.7482
  73. features_impulse_strength:
    3.1387
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    1.5886
  76. features_pullback_depth_atr:
    3.2868
  77. features_extension_from_mean:
    1.7444
  78. features_impulse_decay_score:
    0.3253
  79. features_opposing_wick_pressure:
    0.2116
  80. features_volatility_percentile:
    0.76
  81. features_volatility_delta:
    0.0299
  82. features_body_ratio:
    0.5407
  83. features_closes_position_ratio:
    0.5277
  84. features_slope_consistency:
    0.791
  85. features_range_position:
    0.8047
  86. features_distance_to_recent_high:
    -1.4934
  87. features_distance_to_recent_low:
    6.1532
  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 : -0.1084
  99. obi_top10 : -0.1084
  100. micro_price : 0.11608723
  101. spread_pct : 0.008615
  102. mid_price : 0.116085
  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 : -0.1031
  111. obi_top5_std : 0.0031
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7075
  115. aggregation_tick : 0.001
  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] => 2026-05-10 23:00:00
        [price] => 0.10834
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-11 15:00:00
        [price] => 0.11174
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 0.10962
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-11 22:00:00
        [price] => 0.11142
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-12 00:00:00
        [price] => 0.1097
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-12 02:00:00
        [price] => 0.11124
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 0.10744
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-13 00:00:00
        [price] => 0.11278
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-13 03:00:00
        [price] => 0.11133
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 0.11455
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.10956
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-13 14:00:00
        [price] => 0.1147
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-13 18:00:00
        [price] => 0.11229
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 0.11536
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-14 00:00:00
        [price] => 0.11186
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-14 02:00:00
        [price] => 0.11536
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.11268
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-14 09:00:00
        [price] => 0.1166
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.11327
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-14 14:00:00
        [price] => 0.11856
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-13 16:45:00
        [price] => 0.11346
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-13 18:00:00
        [price] => 0.11229
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-13 19:00:00
        [price] => 0.11395
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 0.11229
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-13 20:30:00
        [price] => 0.11536
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-13 21:30:00
        [price] => 0.11371
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-13 21:45:00
        [price] => 0.11489
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-14 00:00:00
        [price] => 0.11186
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-14 02:00:00
        [price] => 0.11536
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-14 02:15:00
        [price] => 0.11369
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-14 03:15:00
        [price] => 0.115
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-14 05:30:00
        [price] => 0.11268
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-14 09:15:00
        [price] => 0.1166
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-14 09:30:00
        [price] => 0.11403
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-14 10:15:00
        [price] => 0.11534
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-14 10:30:00
        [price] => 0.11393
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.11327
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-14 14:15:00
        [price] => 0.11856
        [kind] => high
        [label] => HH
    )
    
  161. bos_level_long : 0.1166
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.11327
  165. levels_hl_timestamp: 2026-05-14 12:00:00
  166. levels_hh_price:
    0.11856
  167. levels_lh_price:
    0.11856
  168. levels_lh_timestamp: 2026-05-14 14:00:00
  169. levels_ll_price:
    0.11327
  170. strategy_details
  171. demand_zone_top:
    0.1166
  172. demand_zone_bottom:
    0.11327
  173. demand_zone_mid:
    0.114935
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    1.1018
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : bull_high
  180. 15m : bull_medium
  181. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 17:07 0.11615000 +0.043%
2 17:38 0.11636000 +0.224%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 46%

Trend

Trend Strength
0.116
Persistence
0.500
High Δ ATR
1.234
Low Δ ATR
0.371

Current Swing

Amp ATR
3.139
Speed
1.569
Efficiency
0.748

Structure

Retracement
1.589
Extension
1.350
Compression
1.189
Entropy
1.000
Breakout Str.
-0.283
Dist High ATR
-1.517
Dist Low ATR
1.813
31 pivots · 30 swings · Last pivot: ↑ 0.1186 @ bar 146

Trend Analyzer 1H

1H ↑ up up_early_expansion_explosive
Confidence 54%

Context

phase early_expansion
structure bullish_transition
breakout fresh_breakout
quality volatile
strength strong
exhaustion low
momentum explosive
volatility expansion
risk approaching_resistance
htf unknown
Scores
Direction Score 0.730
Strength Score 0.672
Quality Score 0.340
Cleanliness Score 0.254
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.336
Continuation Score 0.566
Structure Score 0.685
Volatility Expansion 0.676
Momentum Type Score 0.738
Risk Score 0.805
Features
Ema20 Slope
0.117
Ema50 Slope
0.080
Ema Alignment Score
1.000
Price Vs Ema20
0.842
Price Vs Ema50
1.744
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.493
Trend Efficiency
0.748
Impulse Strength
3.139
Directional Candle Ratio
0.600
Pullback Depth Ratio
1.589
Pullback Depth Atr
3.287
Extension From Mean
1.744
Impulse Decay Score
0.325
Opposing Wick Pressure
0.212
Volatility Percentile
0.760
Volatility Delta
0.030
Body Ratio
0.541
Closes Position Ratio
0.528
Slope Consistency
0.791
Range Position
0.805
Distance To Recent High
-1.493
Distance To Recent Low
6.153
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7075ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 -0.108
avg -0.103 ± 0.003
OBI Top 10 -0.108

Microstructure

Mid Price
0.1161
Micro Price
0.1161
Spread
0.0086%

📌 Time Data

Start at Closed at Duration
14 May 2026
17:07:25
15 May 2026
01:30:00
8 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1161 0.1131 0.1238 2.57 0.08196
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 0.1161
  • Stop Loss: 0.1131
  • Take Profit: 0.1238

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1131 - 0.1161 = -0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1161 - 0.1238 = -0.0077

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0077 / -0.003 = 2.5667

📌 Position Size

Amount Margin Quantity Leverage
304.9517 100 2625.4988 3.05
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 -0.003

Taille de position = 8 / -0.003 = -2666.67

Taille de position USD = -2666.67 x 0.1161 = -309.6

Donc, tu peux acheter -2666.67 avec un stoploss a 0.1131

Avec un position size USD de -309.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2666.67 x -0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2666.67 x -0.0077 = 20.53

Si Take Profit atteint, tu gagneras 20.53$

Résumé

  • Taille de position -2666.67
  • Taille de position USD -309.6
  • Perte potentielle 8
  • Gain potentiel 20.53
  • Risk-Reward Ratio 2.5667

📌 Peformances

TP % Target TP $ Target
6.63 % 20.22 $
SL % Target SL $ Target
2.58 % 7.88 $
PNL PNL %
-7.88 $ -2.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6357 % 102 % 19

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069000000000001
            [max_drawdown] => 0.00068
            [rr_ratio] => 1.01
            [high] => 0.11679000
            [low] => 0.11542000
            [mfe_pct] => 0.59
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 1.01
            [candles_analyzed] => 24
            [start_at] => 2026-05-14T17:07:25-04:00
            [end_at] => 2026-05-14T19:07:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.00105
            [rr_ratio] => 1.24
            [high] => 0.11740000
            [low] => 0.11505000
            [mfe_pct] => 1.12
            [mae_pct] => 0.9
            [mfe_mae_ratio] => 1.24
            [candles_analyzed] => 84
            [start_at] => 2026-05-14T17:07:25-04:00
            [end_at] => 2026-05-15T00:07:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11856000
            [high_after] => 0.11740000
            [low_before] => 0.11489000
            [low_after] => 0.11505000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#27 / 93 OUT
seuil : top 15 · score du 14/05/2026 17:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime