29 May 2026 at 06:56:06

Long Trade on LINK (BosPullback)

With 84.25 LINK at 8.996$ per unit. Take profit: 9.286 (3.22 %) & Stop Loss: 8.901 (1.06 %)

Long BosPullback on LINK (29 May 2026 at 06:56:06 to 08:30:00 - 1 hour )

With 84.2537 LINK at 8.996$ per unit.

Position size of 757.9463 $
Take profit at 9.286 (3.22 %) and Stop Loss at 8.901 (1.06 %)

That's a 3.05 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.41
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_high

rules_regime : bear_high

rules_regime_4h : bear_medium

tf_aligned : 1

29/05 06:01

BTC Correlation Coin Market Regime

1H_regime : bear_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 bear_high
72%
29/05 08:00
1h ↔ neutral range range moderate fading compression bear_high
69%
29/05 10:00
15m ↔ neutral transition bullish_transition moderate grind compression range_low
44%
29/05 10:45
5m ↓ down range range moderate grind compression range_low
49%
29/05 10:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=16|retests=1|break_atr=1.35|prog=0.49|zone=invalid
  4. stop_price: 8.90104868
  5. tp_price: 9.286
  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 : range
  11. confidence : 0.616
  12. trend_strength : -0.1918
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.6232
  15. low_delta_atr : 1.1715
  16. current_swing_amp_atr : 2.2529
  17. current_swing_speed : 0.22529
  18. current_swing_efficiency : 0.2413
  19. retracement_ratio : 0.6856
  20. extension_ratio : 1.2148
  21. compression_score : 0.6727
  22. swing_entropy : 1
  23. breakout_strength : -2.4277
  24. distance_to_last_high_atr : -1.2985
  25. distance_to_last_low_atr : 1.2562
  26. pivot_count : 30
  27. swing_count : 29
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    8.906
  31. last_pivot_index:
    143
  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 : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.405
  46. state : down_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.39
  49. scores_strength_score:
    0.4305
  50. scores_quality_score:
    0.3496
  51. scores_cleanliness_score:
    0.2359
  52. scores_structural_quality:
    0.4425
  53. scores_pullback_score:
    0.6856
  54. scores_exhaustion_score:
    0.328
  55. scores_continuation_score:
    0.4326
  56. scores_structure_score:
    0.5714
  57. scores_volatility_expansion:
    0
  58. scores_momentum_type_score:
    0.3843
  59. scores_risk_score:
    0.2549
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.025
  62. features_ema50_slope:
    -0.0462
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.054
  65. features_price_vs_ema50:
    -1.2961
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    16
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5281
  72. features_trend_efficiency:
    0.2413
  73. features_impulse_strength:
    2.7985
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    0.6856
  76. features_pullback_depth_atr:
    1.9186
  77. features_extension_from_mean:
    -1.2961
  78. features_impulse_decay_score:
    0.3926
  79. features_opposing_wick_pressure:
    0.2301
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.3404
  82. features_body_ratio:
    0.4161
  83. features_closes_position_ratio:
    0.506
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.2549
  86. features_distance_to_recent_high:
    -11.0174
  87. features_distance_to_recent_low:
    3.7691
  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 : -0.0484
  99. obi_top10 : -0.0308
  100. micro_price : 8.99497927
  101. spread_pct : 0.011119
  102. mid_price : 8.9945
  103. bid_wall_price : 8.97
  104. bid_wall_size : 82002
  105. bid_wall_dist_atr :
  106. ask_wall_price : 9.02
  107. ask_wall_size : 88247.6
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0537
  111. obi_top5_std : 0.0046
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7136
  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] => 2026-05-25 16:00:00
        [price] => 9.665
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 9.355
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-26 05:00:00
        [price] => 9.56
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-26 07:00:00
        [price] => 9.446
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-26 10:00:00
        [price] => 9.638
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-26 19:00:00
        [price] => 9.336
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-27 03:00:00
        [price] => 9.47
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-27 04:00:00
        [price] => 9.275
        [kind] => low
        [label] => LL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-27 06:00:00
        [price] => 9.448
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-27 10:00:00
        [price] => 9.327
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-27 12:00:00
        [price] => 9.482
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 9.266
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-27 15:00:00
        [price] => 9.479
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-27 18:00:00
        [price] => 9.217
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 9.351
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-28 04:00:00
        [price] => 8.761
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-28 14:00:00
        [price] => 8.972
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-28 15:00:00
        [price] => 8.823
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-28 18:00:00
        [price] => 9.087
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 8.906
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-28 10:00:00
        [price] => 8.932
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-28 12:15:00
        [price] => 8.809
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-28 13:00:00
        [price] => 8.909
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-28 13:30:00
        [price] => 8.833
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-28 14:15:00
        [price] => 8.972
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-28 15:15:00
        [price] => 8.823
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-28 18:15:00
        [price] => 9.087
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-28 20:00:00
        [price] => 8.958
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-28 21:00:00
        [price] => 9.064
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-28 22:30:00
        [price] => 8.971
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-29 01:00:00
        [price] => 9.049
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-29 02:45:00
        [price] => 8.939
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-29 03:00:00
        [price] => 8.998
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-29 04:00:00
        [price] => 8.906
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-29 05:00:00
        [price] => 9.006
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-29 05:15:00
        [price] => 8.94
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-29 06:15:00
        [price] => 9.038
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-29 07:45:00
        [price] => 8.962
        [kind] => low
        [label] => HL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-29 09:15:00
        [price] => 9.052
        [kind] => high
        [label] => HH
    )
    
  162. bos_level_long : 8.972
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    8.906
  166. levels_hl_timestamp: 2026-05-29 04:00:00
  167. levels_hh_price:
    9.087
  168. levels_lh_price:
    9.087
  169. levels_lh_timestamp: 2026-05-28 18:00:00
  170. levels_ll_price:
    8.906
  171. demand_zone :
  172. strategy_details
  173. supply_zone_top:
    9.087
  174. supply_zone_bottom:
    8.973
  175. supply_zone_mid:
    9.03
  176. supply_zone_freshness: tested
  177. supply_zone_strength:
    0.5665
  178. ¸
  179. regimes
  180. 1H : bear_high
  181. 15m : range_low
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 62%

Trend

Trend Strength
-0.192
Persistence
0.500
High Δ ATR
1.623
Low Δ ATR
1.172

Current Swing

Amp ATR
2.253
Speed
0.225
Efficiency
0.241

Structure

Retracement
0.686
Extension
1.215
Compression
0.673
Entropy
1.000
Breakout Str.
-2.428
Dist High ATR
-1.299
Dist Low ATR
1.256
30 pivots · 29 swings · Last pivot: ↓ 8.9060 @ bar 143

Trend Analyzer 1H

1H ↓ down down_range_fading
Confidence 41%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum fading
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.390
Strength Score 0.431
Quality Score 0.350
Cleanliness Score 0.236
Structural Quality 0.443
Pullback Score 0.686
Exhaustion Score 0.328
Continuation Score 0.433
Structure Score 0.571
Volatility Expansion 0.000
Momentum Type Score 0.384
Risk Score 0.255
Features
Ema20 Slope
0.025
Ema50 Slope
-0.046
Ema Alignment Score
0.000
Price Vs Ema20
-0.054
Price Vs Ema50
-1.296
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
16.000
Candle Overlap Ratio
1.000
Wick Ratio
0.528
Trend Efficiency
0.241
Impulse Strength
2.799
Directional Candle Ratio
0.600
Pullback Depth Ratio
0.686
Pullback Depth Atr
1.919
Extension From Mean
-1.296
Impulse Decay Score
0.393
Opposing Wick Pressure
0.230
Volatility Percentile
0.000
Volatility Delta
-0.340
Body Ratio
0.416
Closes Position Ratio
0.506
Slope Consistency
0.000
Range Position
0.255
Distance To Recent High
-11.017
Distance To Recent Low
3.769
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7136ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 -0.048
avg -0.054 ± 0.005
OBI Top 10 -0.031

Microstructure

Mid Price
8.9945
Micro Price
8.9950
Spread
0.0111%

↑ Bid Wall (Support)

Price
8.9700
Size
82,002.00

↓ Ask Wall (Resistance)

Price
9.0200
Size
88,247.60

📌 Time Data

Start at Closed at Duration
29 May 2026
06:56:06
29 May 2026
08:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.996 8.901 9.286 3.05 8.448
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 8.996
  • Stop Loss: 8.901
  • Take Profit: 9.286

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.901 - 8.996 = -0.095000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.996 - 9.286 = -0.29

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.29 / -0.095000000000001 = 3.0526

📌 Position Size

Amount Margin Quantity Leverage
757.9463 100 84.2537 7.58
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 -0.095000000000001

Taille de position = 8 / -0.095000000000001 = -84.21

Taille de position USD = -84.21 x 8.996 = -757.55

Donc, tu peux acheter -84.21 avec un stoploss a 8.901

Avec un position size USD de -757.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -84.21 x -0.095000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -84.21 x -0.29 = 24.42

Si Take Profit atteint, tu gagneras 24.42$

Résumé

  • Taille de position -84.21
  • Taille de position USD -757.55
  • Perte potentielle 8
  • Gain potentiel 24.42
  • Risk-Reward Ratio 3.0526

📌 Peformances

TP % Target TP $ Target
3.22 % 24.43 $
SL % Target SL $ Target
1.06 % 8 $
PNL PNL %
-8 $ -1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2005 % 113.68 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.286
            [entry_price] => 8.996
            [stop_loss] => 8.8915
            [rr_ratio] => 2.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-29 12:30:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.286
            [entry_price] => 8.996
            [stop_loss] => 8.882
            [rr_ratio] => 2.54
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-29 12:40:00+00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.286
            [entry_price] => 8.996
            [stop_loss] => 8.8725
            [rr_ratio] => 2.35
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-29 12:40:00+00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.286
            [entry_price] => 8.996
            [stop_loss] => 8.8535
            [rr_ratio] => 2.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-29 13:10:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0069999999999997
            [max_drawdown] => 0.129
            [rr_ratio] => 0.05
            [high] => 9.00300000
            [low] => 8.86700000
            [mfe_pct] => 0.08
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2026-05-29T06:56:06-04:00
            [end_at] => 2026-05-29T08:56:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.133
            [max_drawdown] => 0.213
            [rr_ratio] => 0.62
            [high] => 9.12900000
            [low] => 8.78300000
            [mfe_pct] => 1.48
            [mae_pct] => 2.37
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 84
            [start_at] => 2026-05-29T06:56:06-04:00
            [end_at] => 2026-05-29T13:56:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.05200000
            [high_after] => 9.12900000
            [low_before] => 8.96200000
            [low_after] => 8.78300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#37 / n/a OUT
seuil : top 15 · score du 29/05/2026 06:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime