17 May 2026 at 11:24:13

Short Trade on RECALL (BosPullback)

With 2608.71 RECALL at 0.068$ per unit. Take profit: 0.06033 (11.28 %) & Stop Loss: 0.07107 (4.51 %)

Short BosPullback on RECALL (17 May 2026 at 11:24:13 to 19:00:00 - 7 hours )

With 2608.7098 RECALL at 0.068$ per unit.

Position size of 177.3923 $
Take profit at 0.06033 (11.28 %) and Stop Loss at 0.07107 (4.51 %)

That's a 2.5 RR Trade
Duration: 7 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 9.54
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_low

rules_regime_5m : range_low

Score : 2

ml_regime : range_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

17/05 11:03

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bear_high

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.79
  3. reason: bos_pullback_short|score=2|shallow|bars_since_bos=13|retests=1|break_atr=1.26|prog=0.53|zone=weak
  4. stop_price: 0.07106665
  5. tp_price: 0.06033336
  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 : range
  11. confidence : 0.982
  12. trend_strength : 0.0091
  13. trend_persistence : 0.5
  14. high_delta_atr : -1.3823
  15. low_delta_atr : -1.6454
  16. current_swing_amp_atr : 2.3889
  17. current_swing_speed : 0.19908
  18. current_swing_efficiency : 0.2104
  19. retracement_ratio : 0.6233
  20. extension_ratio : 1.13
  21. compression_score : 0.8167
  22. swing_entropy : 1
  23. breakout_strength : -2.5952
  24. distance_to_last_high_atr : -1.2129
  25. distance_to_last_low_atr : 1.0746
  26. pivot_count : 32
  27. swing_count : 31
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.07084
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : weak
  40. exhaustion : low
  41. momentum_type : fading
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.455
  46. state : neutral_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5174
  49. scores_strength_score:
    0.3994
  50. scores_quality_score:
    0.379
  51. scores_cleanliness_score:
    0.2494
  52. scores_structural_quality:
    0.485
  53. scores_pullback_score:
    0.6233
  54. scores_exhaustion_score:
    0.2912
  55. scores_continuation_score:
    0.4946
  56. scores_structure_score:
    0.4166
  57. scores_volatility_expansion:
    0.3641
  58. scores_momentum_type_score:
    0.3901
  59. scores_risk_score:
    0.6825
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0292
  62. features_ema50_slope:
    0.0428
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    -0.2708
  65. features_price_vs_ema50:
    0.4803
  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:
    13
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5012
  72. features_trend_efficiency:
    0.2104
  73. features_impulse_strength:
    3.2418
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.6233
  76. features_pullback_depth_atr:
    2.0206
  77. features_extension_from_mean:
    0.4803
  78. features_impulse_decay_score:
    0.435
  79. features_opposing_wick_pressure:
    0.3007
  80. features_volatility_percentile:
    0.46
  81. features_volatility_delta:
    -0.1679
  82. features_body_ratio:
    0.4978
  83. features_closes_position_ratio:
    0.4362
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.6825
  86. features_distance_to_recent_high:
    -2.734
  87. features_distance_to_recent_low:
    5.8772
  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 : -0.0283
  99. obi_top10 : -0.111
  100. micro_price : 0.06800457
  101. spread_pct : 0.176678
  102. mid_price : 0.06798
  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 : -0.0306
  111. obi_top5_std : 0.0822
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7274
  115. aggregation_tick : 0.0001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-12 22:00:00
        [price] => 0.05923
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-13 02:00:00
        [price] => 0.05738
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 0.06379
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-13 06:00:00
        [price] => 0.06115
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.05747
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 0.06128
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-14 00:00:00
        [price] => 0.05505
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 0.06026
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-14 22:00:00
        [price] => 0.05808
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-15 06:00:00
        [price] => 0.06092
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-15 09:00:00
        [price] => 0.05719
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-15 18:00:00
        [price] => 0.06586
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-15 20:00:00
        [price] => 0.06299
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-16 01:00:00
        [price] => 0.07098
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-16 05:00:00
        [price] => 0.06459
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-16 11:00:00
        [price] => 0.0742
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 0.0694
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 0.07394
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.06571
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 0.07084
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 12:45:00
        [price] => 0.06985
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 13:30:00
        [price] => 0.07296
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 14:00:00
        [price] => 0.0694
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 15:00:00
        [price] => 0.07243
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-16 16:30:00
        [price] => 0.07018
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-16 17:45:00
        [price] => 0.07394
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-16 19:45:00
        [price] => 0.06805
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-16 20:15:00
        [price] => 0.07028
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-16 22:45:00
        [price] => 0.06571
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 01:30:00
        [price] => 0.0699
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 02:00:00
        [price] => 0.06713
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 02:30:00
        [price] => 0.06909
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 03:45:00
        [price] => 0.0672
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 04:45:00
        [price] => 0.06942
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 05:45:00
        [price] => 0.0678
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 08:30:00
        [price] => 0.0696
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 0.068
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 0.0706
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 0.06837
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 10:45:00
        [price] => 0.07084
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 0.0694
  165. strategy_details
  166. levels_hl_price:
    0.06571
  167. levels_hl_timestamp: 2026-05-16 22:00:00
  168. levels_hh_price:
    0.07084
  169. levels_lh_price:
    0.07084
  170. levels_lh_timestamp: 2026-05-17 10:00:00
  171. levels_ll_price:
    0.06571
  172. strategy_details
  173. demand_zone_top:
    0.0686
  174. demand_zone_bottom:
    0.06459
  175. demand_zone_mid:
    0.066595
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.8261
  178. strategy_details
  179. supply_zone_top:
    0.0742
  180. supply_zone_bottom:
    0.0694
  181. supply_zone_mid:
    0.0718
  182. supply_zone_freshness: weak
  183. supply_zone_strength:
    0.773
  184. ¸
  185. regimes
  186. 1H : bull_high
  187. 15m : bear_high
  188. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 98%

Trend

Trend Strength
0.009
Persistence
0.500
High Δ ATR
-1.382
Low Δ ATR
-1.645

Current Swing

Amp ATR
2.389
Speed
0.199
Efficiency
0.210

Structure

Retracement
0.623
Extension
1.130
Compression
0.817
Entropy
1.000
Breakout Str.
-2.595
Dist High ATR
-1.213
Dist Low ATR
1.075
32 pivots · 31 swings · Last pivot: ↑ 0.0708 @ bar 148

Trend Analyzer 1H

1H ↔ neutral neutral_range_fading
Confidence 46%

Context

phase range
structure range
breakout none
quality volatile
strength weak
exhaustion low
momentum fading
volatility compression
risk premium
htf unknown
Scores
Direction Score 0.517
Strength Score 0.399
Quality Score 0.379
Cleanliness Score 0.249
Structural Quality 0.485
Pullback Score 0.623
Exhaustion Score 0.291
Continuation Score 0.495
Structure Score 0.417
Volatility Expansion 0.364
Momentum Type Score 0.390
Risk Score 0.683
Features
Ema20 Slope
0.029
Ema50 Slope
0.043
Ema Alignment Score
0.667
Price Vs Ema20
-0.271
Price Vs Ema50
0.480
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
-1.000
Bars Since Last Bos
13.000
Candle Overlap Ratio
1.000
Wick Ratio
0.501
Trend Efficiency
0.210
Impulse Strength
3.242
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.623
Pullback Depth Atr
2.021
Extension From Mean
0.480
Impulse Decay Score
0.435
Opposing Wick Pressure
0.301
Volatility Percentile
0.460
Volatility Delta
-0.168
Body Ratio
0.498
Closes Position Ratio
0.436
Slope Consistency
0.000
Range Position
0.683
Distance To Recent High
-2.734
Distance To Recent Low
5.877
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7274ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.028
avg -0.031 ± 0.082
OBI Top 10 -0.111

Microstructure

Mid Price
0.0680
Micro Price
0.0680
Spread
0.1767%

📌 Time Data

Start at Closed at Duration
17 May 2026
11:24:13
17 May 2026
19:00:00
7 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.068 0.07107 0.06033 2.5 0.03554
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 0.068
  • Stop Loss: 0.07107
  • Take Profit: 0.06033

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07107 - 0.068 = 0.00307

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.068 - 0.06033 = 0.00767

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00767 / 0.00307 = 2.4984

📌 Position Size

Amount Margin Quantity Leverage
177.3923 100 2608.7098 1.77
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 0.00307

Taille de position = 8 / 0.00307 = 2605.86

Taille de position USD = 2605.86 x 0.068 = 177.2

Donc, tu peux acheter 2605.86 avec un stoploss a 0.07107

Avec un position size USD de 177.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2605.86 x 0.00307 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2605.86 x 0.00767 = 19.99

Si Take Profit atteint, tu gagneras 19.99$

Résumé

  • Taille de position 2605.86
  • Taille de position USD 177.2
  • Perte potentielle 8
  • Gain potentiel 19.99
  • Risk-Reward Ratio 2.4984

📌 Peformances

TP % Target TP $ Target
11.28 % 20.01 $
SL % Target SL $ Target
4.51 % 8.01 $
PNL PNL %
20.01 $ 11.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7647 % 16.94 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.00051999999999999
            [rr_ratio] => 4.42
            [high] => 0.06852000
            [low] => 0.06570000
            [mfe_pct] => 3.38
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 4.42
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T11:24:13-04:00
            [end_at] => 2026-05-17T13:24:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00603
            [max_drawdown] => 0.00051999999999999
            [rr_ratio] => 11.6
            [high] => 0.06852000
            [low] => 0.06197000
            [mfe_pct] => 8.87
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 11.6
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T11:24:13-04:00
            [end_at] => 2026-05-17T18:24:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07084000
            [high_after] => 0.06852000
            [low_before] => 0.06730000
            [low_after] => 0.06197000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#25 / n/a OUT
seuil : top 15 · score du 17/05/2026 11:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime