17 May 2026 at 16:52:17

Long Trade on LINK (BosPullback)

With 89.46 LINK at 9.729$ per unit. Take profit: 9.9526 (2.3 %) & Stop Loss: 9.6396 (0.92 %)

Long BosPullback on LINK (17 May 2026 at 16:52:17 to 19:15:00 - 2 hours )

With 89.458 LINK at 9.729$ per unit.

Position size of 870.3371 $
Take profit at 9.9526 (2.3 %) and Stop Loss at 9.6396 (0.92 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.51
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 : bear_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

17/05 16:01

BTC Correlation Coin Market Regime

1H_regime : bear_medium

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 bear_high
68%
17/05 12:00
1h ↔ neutral range range moderate fading expansion bear_medium
70%
17/05 16:00
15m ↔ neutral range bullish_transition weak fading compression range_low
42%
17/05 16:30
5m ↑ up transition bullish_transition moderate balanced compression range_low
52%
17/05 16:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.76
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=10|retests=1|break_atr=0.53|prog=0.43|zone=tested|ob:ask_pressure(-0.10)
  4. stop_price: 9.63957258
  5. tp_price: 9.95256855
  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 : 0.619
  12. trend_strength : -0.1907
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.161
  15. low_delta_atr : 0.3547
  16. current_swing_amp_atr : 3.0992
  17. current_swing_speed : 0.44274
  18. current_swing_efficiency : 0.3279
  19. retracement_ratio : 0.9013
  20. extension_ratio : 1.3311
  21. compression_score : 0.9456
  22. swing_entropy : 1
  23. breakout_strength : -1.7415
  24. distance_to_last_high_atr : -1.8543
  25. distance_to_last_low_atr : 1.3867
  26. pivot_count : 18
  27. swing_count : 17
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    9.645
  31. last_pivot_index:
    146
  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 : fading
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.402
  46. state : down_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3817
  49. scores_strength_score:
    0.4817
  50. scores_quality_score:
    0.3459
  51. scores_cleanliness_score:
    0.2096
  52. scores_structural_quality:
    0.4575
  53. scores_pullback_score:
    0.9013
  54. scores_exhaustion_score:
    0.3475
  55. scores_continuation_score:
    0.4234
  56. scores_structure_score:
    0.5783
  57. scores_volatility_expansion:
    0.6227
  58. scores_momentum_type_score:
    0.4439
  59. scores_risk_score:
    0.1013
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0537
  62. features_ema50_slope:
    -0.0861
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.1604
  65. features_price_vs_ema50:
    -1.6618
  66. features_recent_hh_hl_score:
    0.4667
  67. features_recent_lh_ll_score:
    0.5333
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    10
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5808
  72. features_trend_efficiency:
    0.3279
  73. features_impulse_strength:
    3.9789
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.9013
  76. features_pullback_depth_atr:
    3.5862
  77. features_extension_from_mean:
    -1.6618
  78. features_impulse_decay_score:
    0.3345
  79. features_opposing_wick_pressure:
    0.273
  80. features_volatility_percentile:
    0.42
  81. features_volatility_delta:
    0.256
  82. features_body_ratio:
    0.4798
  83. features_closes_position_ratio:
    0.5168
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.1013
  86. features_distance_to_recent_high:
    -17.4763
  87. features_distance_to_recent_low:
    1.9689
  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 : -0.2368
  99. obi_top10 : -0.0394
  100. micro_price : 9.72912388
  101. spread_pct : 0.010279
  102. mid_price : 9.7295
  103. bid_wall_price : 9.64
  104. bid_wall_size : 65984
  105. bid_wall_dist_atr :
  106. ask_wall_price : 9.75
  107. ask_wall_size : 98322
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.2373
  111. obi_top5_std : 0.0005
  112. pressure_side : ask
  113. collection_mode : ws_rolling
  114. collection_ms : 6972
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-11 16:00:00
        [price] => 10.703
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 10.387
        [kind] => low
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-12 01:00:00
        [price] => 10.518
        [kind] => high
        [label] => 
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-12 11:00:00
        [price] => 10.103
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 10.805
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 10.029
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 10.267
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-13 23:00:00
        [price] => 10.088
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 10.766
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 10.202
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 10.387
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 9.959
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 10.135
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 9.61
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-16 13:00:00
        [price] => 9.774
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 9.623
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 9.846
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 9.645
        [kind] => low
        [label] => HL
    )
    
  140. strategy_details
  141. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 16:15:00
        [price] => 9.768
        [kind] => high
        [label] => 
    )
    
  142. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 18:00:00
        [price] => 9.709
        [kind] => low
        [label] => 
    )
    
  143. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 18:15:00
        [price] => 9.737
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 9.65
        [kind] => low
        [label] => LL
    )
    
  145. pivots_15m_4:
    Array
    (
        [time] => 2026-05-16 21:15:00
        [price] => 9.692
        [kind] => high
        [label] => LH
    )
    
  146. pivots_15m_5:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 9.623
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 9.824
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 02:15:00
        [price] => 9.742
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 03:30:00
        [price] => 9.799
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 05:00:00
        [price] => 9.747
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 06:15:00
        [price] => 9.846
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 07:30:00
        [price] => 9.764
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 08:15:00
        [price] => 9.836
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 9.72
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 9.817
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 9.646
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 13:30:00
        [price] => 9.645
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 9.709
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 9.759
        [kind] => high
        [label] => HH
    )
    
  160. bos_level_long : 9.774
  161. bos_level_short : 0
  162. strategy_details
  163. levels_hl_price:
    9.645
  164. levels_hl_timestamp: 2026-05-17 13:00:00
  165. levels_hh_price:
    9.846
  166. levels_lh_price:
    9.846
  167. levels_lh_timestamp: 2026-05-17 06:00:00
  168. levels_ll_price:
    9.645
  169. strategy_details
  170. demand_zone_top:
    9.703
  171. demand_zone_bottom:
    9.623
  172. demand_zone_mid:
    9.663
  173. demand_zone_freshness: tested
  174. demand_zone_strength:
    0.814
  175. strategy_details
  176. supply_zone_top:
    9.846
  177. supply_zone_bottom:
    9.742
  178. supply_zone_mid:
    9.794
  179. supply_zone_freshness: tested
  180. supply_zone_strength:
    0.7111
  181. ¸
  182. regimes
  183. 1H : bear_medium
  184. 15m : range_low
  185. ¸

Signaux confirmants (5)

# Heure Entry Δ
1 16:52 9.72900000 0%
2 16:56 9.72900000 0%
3 17:17 9.73400000 +0.051%
4 17:23 9.73600000 +0.072%
5 17:28 9.73600000 +0.072%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 62%

Trend

Trend Strength
-0.191
Persistence
0.500
High Δ ATR
1.161
Low Δ ATR
0.355

Current Swing

Amp ATR
3.099
Speed
0.443
Efficiency
0.328

Structure

Retracement
0.901
Extension
1.331
Compression
0.946
Entropy
1.000
Breakout Str.
-1.742
Dist High ATR
-1.854
Dist Low ATR
1.387
18 pivots · 17 swings · Last pivot: ↓ 9.6450 @ bar 146

Trend Analyzer 1H

1H ↓ down down_range_fading
Confidence 40%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum fading
volatility expansion
risk discount
htf unknown
Scores
Direction Score 0.382
Strength Score 0.482
Quality Score 0.346
Cleanliness Score 0.210
Structural Quality 0.458
Pullback Score 0.901
Exhaustion Score 0.348
Continuation Score 0.423
Structure Score 0.578
Volatility Expansion 0.623
Momentum Type Score 0.444
Risk Score 0.101
Features
Ema20 Slope
-0.054
Ema50 Slope
-0.086
Ema Alignment Score
0.000
Price Vs Ema20
-0.160
Price Vs Ema50
-1.662
Recent Hh Hl Score
0.467
Recent Lh Ll Score
0.533
Last Bos Direction
1.000
Bars Since Last Bos
10.000
Candle Overlap Ratio
1.000
Wick Ratio
0.581
Trend Efficiency
0.328
Impulse Strength
3.979
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.901
Pullback Depth Atr
3.586
Extension From Mean
-1.662
Impulse Decay Score
0.335
Opposing Wick Pressure
0.273
Volatility Percentile
0.420
Volatility Delta
0.256
Body Ratio
0.480
Closes Position Ratio
0.517
Slope Consistency
0.000
Range Position
0.101
Distance To Recent High
-17.476
Distance To Recent Low
1.969
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↓ ask ws_rolling 5 snapshots 6972ms Confidence avant OB : 86%76%

Order Book Imbalance

OBI Top 5 -0.237
avg -0.237 ± 0.001
OBI Top 10 -0.039

Microstructure

Mid Price
9.7295
Micro Price
9.7291
Spread
0.0103%

↑ Bid Wall (Support)

Price
9.6400
Size
65,984.00

↓ Ask Wall (Resistance)

Price
9.7500
Size
98,322.00

📌 Time Data

Start at Closed at Duration
17 May 2026
16:52:17
17 May 2026
19:15:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.729 9.6396 9.9526 2.5 11.445
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 9.729
  • Stop Loss: 9.6396
  • Take Profit: 9.9526

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.6396 - 9.729 = -0.089399999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.729 - 9.9526 = -0.2236

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2236 / -0.089399999999999 = 2.5011

📌 Position Size

Amount Margin Quantity Leverage
870.3371 100 89.458 8.70
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 -0.089399999999999

Taille de position = 8 / -0.089399999999999 = -89.49

Taille de position USD = -89.49 x 9.729 = -870.65

Donc, tu peux acheter -89.49 avec un stoploss a 9.6396

Avec un position size USD de -870.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -89.49 x -0.089399999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -89.49 x -0.2236 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -89.49
  • Taille de position USD -870.65
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5011

📌 Peformances

TP % Target TP $ Target
2.3 % 20 $
SL % Target SL $ Target
0.92 % 8 $
PNL PNL %
-8 $ -0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1923 % 129.75 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.9526
            [entry_price] => 9.729
            [stop_loss] => 9.63066
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.9526
            [entry_price] => 9.729
            [stop_loss] => 9.62172
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.9526
            [entry_price] => 9.729
            [stop_loss] => 9.61278
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-17 19:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.9526
            [entry_price] => 9.729
            [stop_loss] => 9.5949
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-17 19:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.072999999999999
            [rr_ratio] => 0.56
            [high] => 9.77000000
            [low] => 9.65600000
            [mfe_pct] => 0.42
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T16:52:17-04:00
            [end_at] => 2026-05-17T18:52:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.407
            [rr_ratio] => 0.1
            [high] => 9.77000000
            [low] => 9.32200000
            [mfe_pct] => 0.42
            [mae_pct] => 4.18
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T16:52:17-04:00
            [end_at] => 2026-05-17T23:52:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.75900000
            [high_after] => 9.77000000
            [low_before] => 9.64500000
            [low_after] => 9.32200000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#38 / n/a OUT
seuil : top 15 · score du 17/05/2026 16:00
Signal Confidence
76 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime