14 May 2026 at 10:16:52

Long Trade on BIO (BosPullback)

With 5976.08 BIO at 0.0446$ per unit. Take profit: 0.04793 (7.51 %) & Stop Loss: 0.04324 (3.01 %)

Long BosPullback on BIO (14 May 2026 at 10:16:52 to 01:50:00 - 15 hours )

With 5976.0807 BIO at 0.04458$ per unit.

Position size of 266.4137 $
Take profit at 0.04793 (7.51 %) and Stop Loss at 0.04324 (3.01 %)

That's a 2.5 RR Trade
Duration: 15 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 8
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 : 0

ml_regime : bear_medium

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

14/05 10:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=1|retests=1|break_atr=0.53|prog=0.38|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 0.04324133
  5. tp_price: 0.04792667
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
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 : 0.981
  12. trend_strength : -0.0095
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.633
  15. low_delta_atr : -0.176
  16. current_swing_amp_atr : 3.1091
  17. current_swing_speed : 1.55454
  18. current_swing_efficiency : 0.5191
  19. retracement_ratio : 2.1438
  20. extension_ratio : 2.4453
  21. compression_score : 0.9544
  22. swing_entropy : 1
  23. breakout_strength : -0.2542
  24. distance_to_last_high_atr : -1.8872
  25. distance_to_last_low_atr : 1.1734
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.04651
  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 : low
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : approaching_support
  45. confidence : 0.519
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3837
  49. scores_strength_score:
    0.568
  50. scores_quality_score:
    0.3593
  51. scores_cleanliness_score:
    0.2137
  52. scores_structural_quality:
    0.4783
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.1469
  55. scores_continuation_score:
    0.4844
  56. scores_structure_score:
    0.5433
  57. scores_volatility_expansion:
    0.9325
  58. scores_momentum_type_score:
    0.588
  59. scores_risk_score:
    0.0756
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0007
  62. features_ema50_slope:
    -0.0349
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.0877
  65. features_price_vs_ema50:
    -0.8627
  66. features_recent_hh_hl_score:
    0.3
  67. features_recent_lh_ll_score:
    0.7
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    1
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5725
  72. features_trend_efficiency:
    0.5191
  73. features_impulse_strength:
    3.1091
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.1438
  76. features_pullback_depth_atr:
    4.0034
  77. features_extension_from_mean:
    -0.8627
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.2857
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    0.2168
  82. features_body_ratio:
    0.458
  83. features_closes_position_ratio:
    0.4385
  84. features_slope_consistency:
    0.7057
  85. features_range_position:
    0.0756
  86. features_distance_to_recent_high:
    -14.3467
  87. features_distance_to_recent_low:
    1.1737
  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 : 0.2041
  99. obi_top10 : 0.0888
  100. micro_price : 0.04464129
  101. spread_pct : 0.044813
  102. mid_price : 0.04464
  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 : 0.1973
  111. obi_top5_std : 0.0216
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 6892
  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] => 2026-05-09 09:00:00
        [price] => 0.04935
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-09 17:00:00
        [price] => 0.06157
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-09 21:00:00
        [price] => 0.05557
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-10 00:00:00
        [price] => 0.06045
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-10 03:00:00
        [price] => 0.05325
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-10 10:00:00
        [price] => 0.05596
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-11 00:00:00
        [price] => 0.05037
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-11 02:00:00
        [price] => 0.05347
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-11 22:00:00
        [price] => 0.04658
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-12 06:00:00
        [price] => 0.04843
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-12 10:00:00
        [price] => 0.04583
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-12 22:00:00
        [price] => 0.048
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-13 09:00:00
        [price] => 0.04319
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-13 14:00:00
        [price] => 0.04591
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-13 17:00:00
        [price] => 0.0444
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-13 21:00:00
        [price] => 0.04603
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-14 03:00:00
        [price] => 0.04356
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.04484
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-14 07:00:00
        [price] => 0.04338
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-14 09:00:00
        [price] => 0.04651
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-13 09:30:00
        [price] => 0.04461
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-13 09:45:00
        [price] => 0.04319
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 0.04473
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-13 11:45:00
        [price] => 0.04357
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-13 14:15:00
        [price] => 0.04591
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-13 17:15:00
        [price] => 0.0444
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-13 19:45:00
        [price] => 0.04522
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-13 20:15:00
        [price] => 0.04447
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-13 21:30:00
        [price] => 0.04603
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-14 00:45:00
        [price] => 0.04395
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-14 01:15:00
        [price] => 0.04464
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-14 03:00:00
        [price] => 0.04356
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-14 05:30:00
        [price] => 0.04484
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-14 06:15:00
        [price] => 0.04418
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-14 06:30:00
        [price] => 0.04471
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-14 07:45:00
        [price] => 0.04338
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-14 08:45:00
        [price] => 0.04592
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-14 09:30:00
        [price] => 0.04398
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-14 09:45:00
        [price] => 0.0465
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 0.04484
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    0.04338
  166. levels_hl_timestamp: 2026-05-14 07:00:00
  167. levels_hh_price:
    0.04651
  168. levels_lh_price:
    0.04651
  169. levels_lh_timestamp: 2026-05-14 09:00:00
  170. levels_ll_price:
    0.04338
  171. strategy_details
  172. demand_zone_top:
    0.04484
  173. demand_zone_bottom:
    0.04338
  174. demand_zone_mid:
    0.04411
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.8895
  177. strategy_details
  178. supply_zone_top:
    0.04591
  179. supply_zone_bottom:
    0.04504
  180. supply_zone_mid:
    0.045475
  181. supply_zone_freshness: weak
  182. supply_zone_strength:
    1.0288
  183. ¸
  184. regimes
  185. 1H : bear_high
  186. 15m : range_high
  187. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 98%

Trend

Trend Strength
-0.010
Persistence
0.500
High Δ ATR
1.633
Low Δ ATR
-0.176

Current Swing

Amp ATR
3.109
Speed
1.555
Efficiency
0.519

Structure

Retracement
2.144
Extension
2.445
Compression
0.954
Entropy
1.000
Breakout Str.
-0.254
Dist High ATR
-1.887
Dist Low ATR
1.173
25 pivots · 24 swings · Last pivot: ↑ 0.0465 @ bar 148

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 52%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk approaching_support
htf unknown
Scores
Direction Score 0.384
Strength Score 0.568
Quality Score 0.359
Cleanliness Score 0.214
Structural Quality 0.478
Pullback Score 1.000
Exhaustion Score 0.147
Continuation Score 0.484
Structure Score 0.543
Volatility Expansion 0.933
Momentum Type Score 0.588
Risk Score 0.076
Features
Ema20 Slope
0.001
Ema50 Slope
-0.035
Ema Alignment Score
0.000
Price Vs Ema20
-0.088
Price Vs Ema50
-0.863
Recent Hh Hl Score
0.300
Recent Lh Ll Score
0.700
Last Bos Direction
1.000
Bars Since Last Bos
1.000
Candle Overlap Ratio
1.000
Wick Ratio
0.573
Trend Efficiency
0.519
Impulse Strength
3.109
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.144
Pullback Depth Atr
4.003
Extension From Mean
-0.863
Impulse Decay Score
0.000
Opposing Wick Pressure
0.286
Volatility Percentile
0.980
Volatility Delta
0.217
Body Ratio
0.458
Closes Position Ratio
0.439
Slope Consistency
0.706
Range Position
0.076
Distance To Recent High
-14.347
Distance To Recent Low
1.174
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 6892ms Confidence avant OB : 86%93%

Order Book Imbalance

OBI Top 5 0.204
avg 0.197 ± 0.022
OBI Top 10 0.089

Microstructure

Mid Price
0.0446
Micro Price
0.0446
Spread
0.0448%

📌 Time Data

Start at Closed at Duration
14 May 2026
10:16:52
15 May 2026
01:50:00
15 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04458 0.04324 0.04793 2.5 0.03047
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 0.04458
  • Stop Loss: 0.04324
  • Take Profit: 0.04793

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04324 - 0.04458 = -0.00134

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04458 - 0.04793 = -0.00335

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00335 / -0.00134 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
266.4137 100 5976.0807 2.66
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 -0.00134

Taille de position = 8 / -0.00134 = -5970.15

Taille de position USD = -5970.15 x 0.04458 = -266.15

Donc, tu peux acheter -5970.15 avec un stoploss a 0.04324

Avec un position size USD de -266.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5970.15 x -0.00134 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5970.15 x -0.00335 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -5970.15
  • Taille de position USD -266.15
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
7.51 % 20.02 $
SL % Target SL $ Target
3.01 % 8.01 $
PNL PNL %
-8.01 $ -3.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.3872 % 112.69 % 17

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00156
            [max_drawdown] => 0.00013
            [rr_ratio] => 12
            [high] => 0.04614000
            [low] => 0.04445000
            [mfe_pct] => 3.5
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 12
            [candles_analyzed] => 24
            [start_at] => 2026-05-14T10:16:52-04:00
            [end_at] => 2026-05-14T12:16:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00156
            [max_drawdown] => 0.00013
            [rr_ratio] => 12
            [high] => 0.04614000
            [low] => 0.04445000
            [mfe_pct] => 3.5
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 12
            [candles_analyzed] => 84
            [start_at] => 2026-05-14T10:16:52-04:00
            [end_at] => 2026-05-14T17:16:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04651000
            [high_after] => 0.04614000
            [low_before] => 0.04338000
            [low_after] => 0.04445000
            [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 14/05/2026 10:00
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime