26 May 2026 at 10:59:49

Long Trade on LINK (BosPullback)

With 69.88 LINK at 9.55$ per unit. Take profit: 9.9525 (4.21 %) & Stop Loss: 9.4355 (1.2 %)

Long BosPullback on LINK (26 May 2026 at 10:59:49 to 11:50:00 - 50 minutes )

With 69.8766 LINK at 9.55$ per unit.

Position size of 667.3213 $
Take profit at 9.9525 (4.21 %) and Stop Loss at 9.4355 (1.2 %)

That's a 3.52 RR Trade
Duration: 50 minutes

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.04
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 : range_high

rules_regime_4h : range_medium

tf_aligned : 1

26/05 10:01

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range moderate fading compression bear_high
73%
26/05 12:00
1h ↑ up early_expansion bullish_transition moderate balanced expansion bull_high
74%
26/05 14:00
15m ↔ neutral range range strong explosive volatile_reversal range_medium
40%
26/05 14:45
5m ↔ neutral range range strong balanced volatile_reversal range_low
41%
26/05 14:55

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.83
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=4|retests=1|break_atr=0.43|prog=0.48|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 9.43551242
  5. tp_price: 9.9525
  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 : 0.527
  12. trend_strength : 0.1029
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.8778
  15. low_delta_atr : 1.0241
  16. current_swing_amp_atr : 2.3846
  17. current_swing_speed : 0.79488
  18. current_swing_efficiency : 0.4444
  19. retracement_ratio : 1.6842
  20. extension_ratio : 0.9366
  21. compression_score : 0.6589
  22. swing_entropy : 1
  23. breakout_strength : -0.2476
  24. distance_to_last_high_atr : -1.1254
  25. distance_to_last_low_atr : 1.0354
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    9.638
  31. last_pivot_index:
    145
  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 : balanced
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.517
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7005
  49. scores_strength_score:
    0.4903
  50. scores_quality_score:
    0.3116
  51. scores_cleanliness_score:
    0.2697
  52. scores_structural_quality:
    0.3458
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.2802
  55. scores_continuation_score:
    0.5711
  56. scores_structure_score:
    0.643
  57. scores_volatility_expansion:
    0.988
  58. scores_momentum_type_score:
    0.5494
  59. scores_risk_score:
    0.4787
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0673
  62. features_ema50_slope:
    0.0299
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.1232
  65. features_price_vs_ema50:
    0.2695
  66. features_recent_hh_hl_score:
    0.5
  67. features_recent_lh_ll_score:
    0.5
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    4
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4605
  72. features_trend_efficiency:
    0.4444
  73. features_impulse_strength:
    2.8829
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.6842
  76. features_pullback_depth_atr:
    2.6685
  77. features_extension_from_mean:
    0.2695
  78. features_impulse_decay_score:
    0.5317
  79. features_opposing_wick_pressure:
    0.1759
  80. features_volatility_percentile:
    0.98
  81. features_volatility_delta:
    0.4833
  82. features_body_ratio:
    0.6032
  83. features_closes_position_ratio:
    0.5418
  84. features_slope_consistency:
    0.0558
  85. features_range_position:
    0.4787
  86. features_distance_to_recent_high:
    -4.8323
  87. features_distance_to_recent_low:
    4.437
  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 : -0.2223
  99. obi_top10 : 0.2009
  100. micro_price : 9.53700329
  101. spread_pct : 0.010485
  102. mid_price : 9.5375
  103. bid_wall_price : 9.49
  104. bid_wall_size : 72282.2
  105. bid_wall_dist_atr :
  106. ask_wall_price : 9.66
  107. ask_wall_size : 46840
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.205
  111. obi_top5_std : 0.0098
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6889
  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] => 2026-05-21 18:00:00
        [price] => 9.688
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-22 04:00:00
        [price] => 9.862
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-22 07:00:00
        [price] => 9.746
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-22 13:00:00
        [price] => 10.027
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-22 19:00:00
        [price] => 9.389
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-22 21:00:00
        [price] => 9.563
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-23 07:00:00
        [price] => 9.089
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-23 21:00:00
        [price] => 9.759
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-24 05:00:00
        [price] => 9.481
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-24 10:00:00
        [price] => 9.643
        [kind] => high
        [label] => LH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 9.336
        [kind] => low
        [label] => LL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-24 17:00:00
        [price] => 9.479
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-24 21:00:00
        [price] => 9.24
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-25 00:00:00
        [price] => 9.486
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-25 03:00:00
        [price] => 9.362
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 9.665
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 9.355
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 9.56
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 9.446
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 9.638
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-25 15:00:00
        [price] => 9.662
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-25 16:00:00
        [price] => 9.566
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-25 16:45:00
        [price] => 9.665
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-25 23:00:00
        [price] => 9.441
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-25 23:45:00
        [price] => 9.503
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-26 00:45:00
        [price] => 9.383
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-26 01:15:00
        [price] => 9.437
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 9.355
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-26 05:30:00
        [price] => 9.56
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-26 06:15:00
        [price] => 9.492
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-26 06:45:00
        [price] => 9.549
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-26 07:15:00
        [price] => 9.446
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-26 08:45:00
        [price] => 9.547
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 9.452
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-26 10:30:00
        [price] => 9.638
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 9.516
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-26 12:45:00
        [price] => 9.606
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-26 13:30:00
        [price] => 9.511
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-26 14:15:00
        [price] => 9.679
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 9.56
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    9.446
  166. levels_hl_timestamp: 2026-05-26 07:00:00
  167. levels_hh_price:
    9.638
  168. levels_lh_price:
    9.638
  169. levels_lh_timestamp: 2026-05-26 10:00:00
  170. levels_ll_price:
    9.446
  171. strategy_details
  172. demand_zone_top:
    9.437
  173. demand_zone_bottom:
    9.355
  174. demand_zone_mid:
    9.396
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.9534
  177. strategy_details
  178. supply_zone_top:
    9.665
  179. supply_zone_bottom:
    9.534
  180. supply_zone_mid:
    9.5995
  181. supply_zone_freshness: tested
  182. supply_zone_strength:
    0.6935
  183. ¸
  184. regimes
  185. 1H : range_high
  186. 15m : range_medium
  187. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 53%

Trend

Trend Strength
0.103
Persistence
0.500
High Δ ATR
0.878
Low Δ ATR
1.024

Current Swing

Amp ATR
2.385
Speed
0.795
Efficiency
0.444

Structure

Retracement
1.684
Extension
0.937
Compression
0.659
Entropy
1.000
Breakout Str.
-0.248
Dist High ATR
-1.125
Dist Low ATR
1.035
29 pivots · 28 swings · Last pivot: ↑ 9.6380 @ bar 145

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 52%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk mid_range
htf unknown
Scores
Direction Score 0.701
Strength Score 0.490
Quality Score 0.312
Cleanliness Score 0.270
Structural Quality 0.346
Pullback Score 1.000
Exhaustion Score 0.280
Continuation Score 0.571
Structure Score 0.643
Volatility Expansion 0.988
Momentum Type Score 0.549
Risk Score 0.479
Features
Ema20 Slope
0.067
Ema50 Slope
0.030
Ema Alignment Score
1.000
Price Vs Ema20
0.123
Price Vs Ema50
0.270
Recent Hh Hl Score
0.500
Recent Lh Ll Score
0.500
Last Bos Direction
1.000
Bars Since Last Bos
4.000
Candle Overlap Ratio
1.000
Wick Ratio
0.461
Trend Efficiency
0.444
Impulse Strength
2.883
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.684
Pullback Depth Atr
2.669
Extension From Mean
0.270
Impulse Decay Score
0.532
Opposing Wick Pressure
0.176
Volatility Percentile
0.980
Volatility Delta
0.483
Body Ratio
0.603
Closes Position Ratio
0.542
Slope Consistency
0.056
Range Position
0.479
Distance To Recent High
-4.832
Distance To Recent Low
4.437
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6889ms Confidence avant OB : 93%83%

Order Book Imbalance

OBI Top 5 -0.222
avg -0.205 ± 0.010
OBI Top 10 0.201

Microstructure

Mid Price
9.5375
Micro Price
9.5370
Spread
0.0105%

↑ Bid Wall (Support)

Price
9.4900
Size
72,282.20

↓ Ask Wall (Resistance)

Price
9.6600
Size
46,840.00

📌 Time Data

Start at Closed at Duration
26 May 2026
10:59:49
26 May 2026
11:50:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.55 9.4355 9.9525 3.52 8.188
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 9.55
  • Stop Loss: 9.4355
  • Take Profit: 9.9525

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.4355 - 9.55 = -0.1145

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.55 - 9.9525 = -0.4025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.4025 / -0.1145 = 3.5153

📌 Position Size

Amount Margin Quantity Leverage
667.3213 100 69.8766 6.67
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 -0.1145

Taille de position = 8 / -0.1145 = -69.87

Taille de position USD = -69.87 x 9.55 = -667.26

Donc, tu peux acheter -69.87 avec un stoploss a 9.4355

Avec un position size USD de -667.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -69.87 x -0.1145 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -69.87 x -0.4025 = 28.12

Si Take Profit atteint, tu gagneras 28.12$

Résumé

  • Taille de position -69.87
  • Taille de position USD -667.26
  • Perte potentielle 8
  • Gain potentiel 28.12
  • Risk-Reward Ratio 3.5153

📌 Peformances

TP % Target TP $ Target
4.21 % 28.13 $
SL % Target SL $ Target
1.2 % 8 $
PNL PNL %
-8 $ -1.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6754 % 139.73 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.9525
            [entry_price] => 9.55
            [stop_loss] => 9.42405
            [rr_ratio] => 3.2
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.9525
            [entry_price] => 9.55
            [stop_loss] => 9.4126
            [rr_ratio] => 2.93
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.9525
            [entry_price] => 9.55
            [stop_loss] => 9.40115
            [rr_ratio] => 2.7
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-26 15:50:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.9525
            [entry_price] => 9.55
            [stop_loss] => 9.37825
            [rr_ratio] => 2.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-26 17:30:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0040000000000013
            [max_drawdown] => 0.16
            [rr_ratio] => -0.03
            [high] => 9.54600000
            [low] => 9.39000000
            [mfe_pct] => -0.04
            [mae_pct] => 1.68
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2026-05-26T10:59:49-04:00
            [end_at] => 2026-05-26T12:59:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0040000000000013
            [max_drawdown] => 0.214
            [rr_ratio] => -0.02
            [high] => 9.54600000
            [low] => 9.33600000
            [mfe_pct] => -0.04
            [mae_pct] => 2.24
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 76
            [start_at] => 2026-05-26T10:59:49-04:00
            [end_at] => 2026-05-26T17:59:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.67900000
            [high_after] => 9.54600000
            [low_before] => 9.50000000
            [low_after] => 9.33600000
            [is_new_high] => 
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#48 / n/a OUT
seuil : top 15 · score du 26/05/2026 10:00
Signal Confidence
83 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime