14 May 2026 at 16:32:59

Long Trade on BIO (BosPullback)

With 7755.92 BIO at 0.0452$ per unit. Take profit: 0.04778 (5.78 %) & Stop Loss: 0.04414 (2.28 %)

Long BosPullback on BIO (14 May 2026 at 16:32:59 to 00:45:00 - 8 hours )

With 7755.9212 BIO at 0.04517$ per unit.

Position size of 350.335 $
Take profit at 0.04778 (5.78 %) and Stop Loss at 0.04414 (2.28 %)

That's a 2.53 RR Trade
Duration: 8 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 7.33
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 16:02

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=7|retests=1|break_atr=0.60|prog=0.41|zone=tested
  4. stop_price: 0.04413853
  5. tp_price: 0.04778
  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 : 0.917
  12. trend_strength : -0.0417
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.8414
  15. low_delta_atr : 0.9262
  16. current_swing_amp_atr : 2.2392
  17. current_swing_speed : 2.23916
  18. current_swing_efficiency : 0.609
  19. retracement_ratio : 0.7316
  20. extension_ratio : 1.5685
  21. compression_score : 1.0525
  22. swing_entropy : 1
  23. breakout_strength : -1.9737
  24. distance_to_last_high_atr : -1.4775
  25. distance_to_last_low_atr : 1.0475
  26. pivot_count : 22
  27. swing_count : 21
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.04422
  31. last_pivot_index:
    143
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.503
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4615
  49. scores_strength_score:
    0.6084
  50. scores_quality_score:
    0.4212
  51. scores_cleanliness_score:
    0.2124
  52. scores_structural_quality:
    0.5921
  53. scores_pullback_score:
    0.7316
  54. scores_exhaustion_score:
    0.1918
  55. scores_continuation_score:
    0.5021
  56. scores_structure_score:
    0.523
  57. scores_volatility_expansion:
    0.7083
  58. scores_momentum_type_score:
    0.5099
  59. scores_risk_score:
    0.1077
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0452
  62. features_ema50_slope:
    -0.0128
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.199
  65. features_price_vs_ema50:
    -0.4378
  66. features_recent_hh_hl_score:
    0.2632
  67. features_recent_lh_ll_score:
    0.7368
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5752
  72. features_trend_efficiency:
    0.609
  73. features_impulse_strength:
    3.109
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.7316
  76. features_pullback_depth_atr:
    2.2745
  77. features_extension_from_mean:
    -0.4378
  78. features_impulse_decay_score:
    0.2158
  79. features_opposing_wick_pressure:
    0.2687
  80. features_volatility_percentile:
    0.7
  81. features_volatility_delta:
    0.1324
  82. features_body_ratio:
    0.4439
  83. features_closes_position_ratio:
    0.447
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.1077
  86. features_distance_to_recent_high:
    -18.5042
  87. features_distance_to_recent_low:
    2.234
  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 : 0.0358
  99. obi_top10 : 0.1023
  100. micro_price : 0.04522279
  101. spread_pct : 0.022114
  102. mid_price : 0.045225
  103. bid_wall_price : 0.045
  104. bid_wall_size : 1179174
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0453
  107. ask_wall_size : 902806.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0381
  111. obi_top5_std : 0.0028
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7163
  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 17:00:00
        [price] => 0.06157
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-09 21:00:00
        [price] => 0.05557
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-10 00:00:00
        [price] => 0.06045
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-10 03:00:00
        [price] => 0.05325
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-10 10:00:00
        [price] => 0.05596
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-11 00:00:00
        [price] => 0.05037
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-11 02:00:00
        [price] => 0.05347
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-11 22:00:00
        [price] => 0.04658
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-12 06:00:00
        [price] => 0.04843
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-12 10:00:00
        [price] => 0.04583
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-12 22:00:00
        [price] => 0.048
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-13 09:00:00
        [price] => 0.04319
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-13 14:00:00
        [price] => 0.04591
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-13 17:00:00
        [price] => 0.0444
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-13 21:00:00
        [price] => 0.04603
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-14 03:00:00
        [price] => 0.04356
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-14 05:00:00
        [price] => 0.04484
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-14 07:00:00
        [price] => 0.04338
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-14 09:00:00
        [price] => 0.04651
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-14 10:00:00
        [price] => 0.04422
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-13 16:15:00
        [price] => 0.04535
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-13 17:15:00
        [price] => 0.0444
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-13 19:45:00
        [price] => 0.04522
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-13 20:15:00
        [price] => 0.04447
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-13 21:30:00
        [price] => 0.04603
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-14 00:45:00
        [price] => 0.04395
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-14 01:15:00
        [price] => 0.04464
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-14 03:00:00
        [price] => 0.04356
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-14 05:30:00
        [price] => 0.04484
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-14 06:15:00
        [price] => 0.04418
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-14 06:30:00
        [price] => 0.04471
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-14 07:45:00
        [price] => 0.04338
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-14 08:45:00
        [price] => 0.04592
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-14 09:30:00
        [price] => 0.04398
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-14 09:45:00
        [price] => 0.0465
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 0.04614
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-14 13:15:00
        [price] => 0.0448
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-14 15:00:00
        [price] => 0.04576
        [kind] => high
        [label] => LH
    )
    
  161. bos_level_long : 0.04484
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.04422
  165. levels_hl_timestamp: 2026-05-14 10:00:00
  166. levels_hh_price:
    0.04651
  167. levels_lh_price:
    0.04651
  168. levels_lh_timestamp: 2026-05-14 09:00:00
  169. levels_ll_price:
    0.04422
  170. strategy_details
  171. demand_zone_top:
    0.04484
  172. demand_zone_bottom:
    0.04338
  173. demand_zone_mid:
    0.04411
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8895
  176. strategy_details
  177. supply_zone_top:
    0.04591
  178. supply_zone_bottom:
    0.04504
  179. supply_zone_mid:
    0.045475
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    1.0287
  182. ¸
  183. regimes
  184. 1H : bear_high
  185. 15m : range_high
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 92%

Trend

Trend Strength
-0.042
Persistence
0.500
High Δ ATR
1.841
Low Δ ATR
0.926

Current Swing

Amp ATR
2.239
Speed
2.239
Efficiency
0.609

Structure

Retracement
0.732
Extension
1.569
Compression
1.053
Entropy
1.000
Breakout Str.
-1.974
Dist High ATR
-1.478
Dist Low ATR
1.048
22 pivots · 21 swings · Last pivot: ↓ 0.0442 @ bar 143

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.462
Strength Score 0.608
Quality Score 0.421
Cleanliness Score 0.212
Structural Quality 0.592
Pullback Score 0.732
Exhaustion Score 0.192
Continuation Score 0.502
Structure Score 0.523
Volatility Expansion 0.708
Momentum Type Score 0.510
Risk Score 0.108
Features
Ema20 Slope
0.045
Ema50 Slope
-0.013
Ema Alignment Score
0.333
Price Vs Ema20
0.199
Price Vs Ema50
-0.438
Recent Hh Hl Score
0.263
Recent Lh Ll Score
0.737
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.575
Trend Efficiency
0.609
Impulse Strength
3.109
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.732
Pullback Depth Atr
2.275
Extension From Mean
-0.438
Impulse Decay Score
0.216
Opposing Wick Pressure
0.269
Volatility Percentile
0.700
Volatility Delta
0.132
Body Ratio
0.444
Closes Position Ratio
0.447
Slope Consistency
0.000
Range Position
0.108
Distance To Recent High
-18.504
Distance To Recent Low
2.234
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7163ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 0.036
avg 0.038 ± 0.003
OBI Top 10 0.102

Microstructure

Mid Price
0.0452
Micro Price
0.0452
Spread
0.0221%

↑ Bid Wall (Support)

Price
0.0450
Size
1,179,174.00

↓ Ask Wall (Resistance)

Price
0.0453
Size
902,806.40

📌 Time Data

Start at Closed at Duration
14 May 2026
16:32:59
15 May 2026
00:45:00
8 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04517 0.04414 0.04778 2.53 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 0.04517
  • Stop Loss: 0.04414
  • Take Profit: 0.04778

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04414 - 0.04517 = -0.00103

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04517 - 0.04778 = -0.00261

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00261 / -0.00103 = 2.534

📌 Position Size

Amount Margin Quantity Leverage
350.335 100 7755.9212 3.50
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 -0.00103

Taille de position = 8 / -0.00103 = -7766.99

Taille de position USD = -7766.99 x 0.04517 = -350.83

Donc, tu peux acheter -7766.99 avec un stoploss a 0.04414

Avec un position size USD de -350.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7766.99 x -0.00103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7766.99 x -0.00261 = 20.27

Si Take Profit atteint, tu gagneras 20.27$

Résumé

  • Taille de position -7766.99
  • Taille de position USD -350.83
  • Perte potentielle 8
  • Gain potentiel 20.27
  • Risk-Reward Ratio 2.534

📌 Peformances

TP % Target TP $ Target
5.78 % 20.24 $
SL % Target SL $ Target
2.28 % 7.99 $
PNL PNL %
-7.99 $ -2.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.2803 % 100 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.04583000
            [low] => 0.04522000
            [mfe_pct] => 1.46
            [mae_pct] => -0.11
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-05-14T16:32:59-04:00
            [end_at] => 2026-05-14T18:32:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00197
            [max_drawdown] => 0.00089
            [rr_ratio] => 2.21
            [high] => 0.04714000
            [low] => 0.04428000
            [mfe_pct] => 4.36
            [mae_pct] => 1.97
            [mfe_mae_ratio] => 2.21
            [candles_analyzed] => 84
            [start_at] => 2026-05-14T16:32:59-04:00
            [end_at] => 2026-05-14T23:32:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04576000
            [high_after] => 0.04714000
            [low_before] => 0.04480000
            [low_after] => 0.04508000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#72 / n/a OUT
seuil : top 15 · score du 14/05/2026 16:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
2 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime