21 May 2026 at 04:11:52

Long Trade on LINK (BosPullback)

With 68.07 LINK at 9.725$ per unit. Take profit: 10.0188 (3.02 %) & Stop Loss: 9.6075 (1.21 %)

Long BosPullback on LINK (21 May 2026 at 04:11:52 to 05:35:00 - 1 hour )

With 68.0717 LINK at 9.725$ per unit.

Position size of 661.9975 $
Take profit at 10.0188 (3.02 %) and Stop Loss at 9.6075 (1.21 %)

That's a 2.5 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.26
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 :

21/05 04:04

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down range range moderate grind compression range_high
45%
21/05 00:00
1h ↔ neutral range range moderate grind compression range_medium
49%
21/05 03:00
15m ↑ up transition bullish_transition moderate grind normal range_low
52%
21/05 03:45
5m ↔ neutral transition bearish_transition weak grind normal range_low
47%
21/05 03:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=4|retests=1|break_atr=0.81|prog=0.70|zone=tested
  4. stop_price: 9.6074769
  5. tp_price: 10.01880774
  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 : pullback_up
  11. confidence : 0.593
  12. trend_strength : 0.2212
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2125
  15. low_delta_atr : 0.7165
  16. current_swing_amp_atr : 2.1483
  17. current_swing_speed : 0.7161
  18. current_swing_efficiency : 0.4984
  19. retracement_ratio : 0.7524
  20. extension_ratio : 1.2951
  21. compression_score : 0.8086
  22. swing_entropy : 1
  23. breakout_strength : -2.2458
  24. distance_to_last_high_atr : -0.6476
  25. distance_to_last_low_atr : 1.5294
  26. pivot_count : 24
  27. swing_count : 23
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    9.614
  31. last_pivot_index:
    148
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : fresh_breakout
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : grind
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.565
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7373
  49. scores_strength_score:
    0.5541
  50. scores_quality_score:
    0.3847
  51. scores_cleanliness_score:
    0.2162
  52. scores_structural_quality:
    0.5225
  53. scores_pullback_score:
    0.7524
  54. scores_exhaustion_score:
    0.3248
  55. scores_continuation_score:
    0.5725
  56. scores_structure_score:
    0.7037
  57. scores_volatility_expansion:
    0.4912
  58. scores_momentum_type_score:
    0.6393
  59. scores_risk_score:
    0.7776
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0608
  62. features_ema50_slope:
    0.0446
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.9085
  65. features_price_vs_ema50:
    1.4466
  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:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5676
  72. features_trend_efficiency:
    0.4984
  73. features_impulse_strength:
    2.9954
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.7524
  76. features_pullback_depth_atr:
    2.2537
  77. features_extension_from_mean:
    1.4466
  78. features_impulse_decay_score:
    0.3525
  79. features_opposing_wick_pressure:
    0.2287
  80. features_volatility_percentile:
    0.42
  81. features_volatility_delta:
    0.0588
  82. features_body_ratio:
    0.458
  83. features_closes_position_ratio:
    0.5879
  84. features_slope_consistency:
    0.8468
  85. features_range_position:
    0.7776
  86. features_distance_to_recent_high:
    -1.6983
  87. features_distance_to_recent_low:
    5.9371
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    1
  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 : 0.0878
  99. obi_top10 : 0.0516
  100. micro_price : 9.72918006
  101. spread_pct : 0.010279
  102. mid_price : 9.7295
  103. bid_wall_price : 9.71
  104. bid_wall_size : 103426.2
  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 : 0.0897
  111. obi_top5_std : 0.0084
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7094
  115. aggregation_tick : 0.01
  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] => 2026-05-15 14:00:00
        [price] => 10.135
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 9.61
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-16 13:00:00
        [price] => 9.774
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 9.623
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 9.846
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 9.645
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 9.77
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 9.322
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 22:00:00
        [price] => 9.577
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 9.396
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 9.601
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 9.302
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-19 03:00:00
        [price] => 9.819
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 9.369
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-20 04:00:00
        [price] => 9.635
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-20 09:00:00
        [price] => 9.477
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-20 13:00:00
        [price] => 9.684
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-20 18:00:00
        [price] => 9.562
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-21 00:00:00
        [price] => 9.772
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-21 03:00:00
        [price] => 9.614
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-20 03:15:00
        [price] => 9.624
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-20 03:45:00
        [price] => 9.568
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-20 04:30:00
        [price] => 9.635
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-20 05:45:00
        [price] => 9.574
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-20 06:30:00
        [price] => 9.627
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-20 07:45:00
        [price] => 9.526
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-20 08:45:00
        [price] => 9.621
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-20 09:30:00
        [price] => 9.477
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-20 10:45:00
        [price] => 9.646
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-20 11:00:00
        [price] => 9.565
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-20 12:00:00
        [price] => 9.654
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-20 12:15:00
        [price] => 9.558
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-20 13:45:00
        [price] => 9.684
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-20 14:45:00
        [price] => 9.587
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-20 15:30:00
        [price] => 9.669
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-20 16:15:00
        [price] => 9.59
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-20 17:00:00
        [price] => 9.655
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-20 18:15:00
        [price] => 9.562
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-21 00:00:00
        [price] => 9.772
        [kind] => high
        [label] => HH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-21 03:15:00
        [price] => 9.614
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 9.684
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    9.614
  167. levels_hl_timestamp: 2026-05-21 03:00:00
  168. levels_hh_price:
    9.772
  169. levels_lh_price:
    9.772
  170. levels_lh_timestamp: 2026-05-21 00:00:00
  171. levels_ll_price:
    9.614
  172. strategy_details
  173. demand_zone_top:
    9.684
  174. demand_zone_bottom:
    9.558
  175. demand_zone_mid:
    9.621
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.845
  178. strategy_details
  179. supply_zone_top:
    9.772
  180. supply_zone_bottom:
    9.685
  181. supply_zone_mid:
    9.7285
  182. supply_zone_freshness: tested
  183. supply_zone_strength:
    0.7121
  184. ¸
  185. regimes
  186. 1H : bull_high
  187. 15m : range_low
  188. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 59%

Trend

Trend Strength
0.221
Persistence
0.500
High Δ ATR
1.213
Low Δ ATR
0.717

Current Swing

Amp ATR
2.148
Speed
0.716
Efficiency
0.498

Structure

Retracement
0.752
Extension
1.295
Compression
0.809
Entropy
1.000
Breakout Str.
-2.246
Dist High ATR
-0.648
Dist Low ATR
1.529
24 pivots · 23 swings · Last pivot: ↓ 9.6140 @ bar 148

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 57%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum grind
volatility normal
risk premium
htf unknown
Scores
Direction Score 0.737
Strength Score 0.554
Quality Score 0.385
Cleanliness Score 0.216
Structural Quality 0.523
Pullback Score 0.752
Exhaustion Score 0.325
Continuation Score 0.573
Structure Score 0.704
Volatility Expansion 0.491
Momentum Type Score 0.639
Risk Score 0.778
Features
Ema20 Slope
0.061
Ema50 Slope
0.045
Ema Alignment Score
1.000
Price Vs Ema20
0.909
Price Vs Ema50
1.447
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.568
Trend Efficiency
0.498
Impulse Strength
2.995
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.752
Pullback Depth Atr
2.254
Extension From Mean
1.447
Impulse Decay Score
0.353
Opposing Wick Pressure
0.229
Volatility Percentile
0.420
Volatility Delta
0.059
Body Ratio
0.458
Closes Position Ratio
0.588
Slope Consistency
0.847
Range Position
0.778
Distance To Recent High
-1.698
Distance To Recent Low
5.937
Had Recent Range
1.000
Had Recent Compression
1.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7094ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.088
avg 0.090 ± 0.008
OBI Top 10 0.052

Microstructure

Mid Price
9.7295
Micro Price
9.7292
Spread
0.0103%

↑ Bid Wall (Support)

Price
9.7100
Size
103,426.20

📌 Time Data

Start at Closed at Duration
21 May 2026
04:11:52
21 May 2026
05:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.725 9.6075 10.0188 2.5 8.327
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 9.725
  • Stop Loss: 9.6075
  • Take Profit: 10.0188

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.6075 - 9.725 = -0.1175

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.725 - 10.0188 = -0.2938

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2938 / -0.1175 = 2.5004

📌 Position Size

Amount Margin Quantity Leverage
661.9975 100 68.0717 6.62
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 -0.1175

Taille de position = 8 / -0.1175 = -68.09

Taille de position USD = -68.09 x 9.725 = -662.18

Donc, tu peux acheter -68.09 avec un stoploss a 9.6075

Avec un position size USD de -662.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -68.09 x -0.1175 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -68.09 x -0.2938 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -68.09
  • Taille de position USD -662.18
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5004

📌 Peformances

TP % Target TP $ Target
3.02 % 20 $
SL % Target SL $ Target
1.21 % 8 $
PNL PNL %
-8 $ -1.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.347 % 111.49 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 10.0188
            [entry_price] => 9.725
            [stop_loss] => 9.59575
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-21 05:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 10.0188
            [entry_price] => 9.725
            [stop_loss] => 9.584
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-21 06:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 10.0188
            [entry_price] => 9.725
            [stop_loss] => 9.57225
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-21 06:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 10.0188
            [entry_price] => 9.725
            [stop_loss] => 9.54875
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-21 06:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.131
            [rr_ratio] => 0.22
            [high] => 9.75400000
            [low] => 9.59400000
            [mfe_pct] => 0.3
            [mae_pct] => 1.35
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2026-05-21T04:11:52-04:00
            [end_at] => 2026-05-21T06:11:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.214
            [rr_ratio] => 0.14
            [high] => 9.75400000
            [low] => 9.51100000
            [mfe_pct] => 0.3
            [mae_pct] => 2.2
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2026-05-21T04:11:52-04:00
            [end_at] => 2026-05-21T11:11:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.75500000
            [high_after] => 9.75400000
            [low_before] => 9.61400000
            [low_after] => 9.51100000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#50 / 70 OUT
seuil : top 15 · score du 21/05/2026 04:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime