12 Jun 2026 at 10:10:09

Long Trade on LAYER (BosPullback)

With 7658.8 LAYER at 0.0656$ per unit. Take profit: 0.06835 (4.22 %) & Stop Loss: 0.06454 (1.59 %)

Long BosPullback on LAYER (12 Jun 2026 at 10:10:09 open - 1 month )

With 7658.8004 LAYER at 0.06558$ per unit.

Position size of 502.2641 $
Take profit at 0.06835 (4.22 %) and Stop Loss at 0.06454 (1.59 %)

That's a 2.66 RR Trade
Duration: 1 month

Results

Status:
open
Trade Type:
buy
ML Trade Score: 0
ML Pullback Score:
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 : bull_medium

rules_regime_5m : range_low

Score : 1

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : range_high

tf_aligned :

12/06 10:04

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 ↔ — bear_high
58%
09/06 08:00
1h ↔ neutral transition bullish_transition moderate balanced volatile_reversal range_high
37%
09/06 09:00
15m ↓ down transition bearish_transition strong fading compression bear_high
71%
09/06 09:15
5m ↓ down range range moderate fading compression bear_medium
71%
09/06 09:25

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.65
  3. reason: bos_pullback_long|score=0|shallow|bars_since_bos=14|retests=1|break_atr=0.77|prog=0.40|zone=weak
  4. stop_price: 0.06453545
  5. tp_price: 0.068355
  6. atr:
  7. score: 0.65
  8. confidence_pre_ob: 0.65
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 : 0.999
  12. trend_strength : -0.0004
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.7713
  15. low_delta_atr : 1.0789
  16. current_swing_amp_atr : 3.3556
  17. current_swing_speed : 0.55927
  18. current_swing_efficiency : 0.533
  19. retracement_ratio : 0.7886
  20. extension_ratio : 1.2077
  21. compression_score : 0.9799
  22. swing_entropy : 1
  23. breakout_strength : -2.673
  24. distance_to_last_high_atr : -2.4315
  25. distance_to_last_low_atr : 1.5941
  26. pivot_count : 27
  27. swing_count : 26
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.06459
  31. last_pivot_index:
    141
  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 : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.527
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5792
  49. scores_strength_score:
    0.5699
  50. scores_quality_score:
    0.3726
  51. scores_cleanliness_score:
    0.277
  52. scores_structural_quality:
    0.4508
  53. scores_pullback_score:
    0.7886
  54. scores_exhaustion_score:
    0.2378
  55. scores_continuation_score:
    0.5353
  56. scores_structure_score:
    0.6049
  57. scores_volatility_expansion:
    0.012
  58. scores_momentum_type_score:
    0.5586
  59. scores_risk_score:
    0.1963
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.016
  62. features_ema50_slope:
    -0.0126
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.349
  65. features_price_vs_ema50:
    0.2037
  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:
    14
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.446
  72. features_trend_efficiency:
    0.533
  73. features_impulse_strength:
    3.8772
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.7886
  76. features_pullback_depth_atr:
    3.0575
  77. features_extension_from_mean:
    0.2037
  78. features_impulse_decay_score:
    0.3962
  79. features_opposing_wick_pressure:
    0.246
  80. features_volatility_percentile:
    0.02
  81. features_volatility_delta:
    -0.3778
  82. features_body_ratio:
    0.4674
  83. features_closes_position_ratio:
    0.515
  84. features_slope_consistency:
    0.3236
  85. features_range_position:
    0.1963
  86. features_distance_to_recent_high:
    -32.546
  87. features_distance_to_recent_low:
    7.9507
  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 : -0.0235
  99. obi_top10 : -0.0558
  100. micro_price : 0.06556
  101. spread_pct : 0.061031
  102. mid_price : 0.06556
  103. bid_wall_price :
  104. bid_wall_size :
  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 : -0.0272
  111. obi_top5_std : 0.0289
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7027
  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] => 2026-06-07 19:00:00
        [price] => 0.0613
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-07 22:00:00
        [price] => 0.0651
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-07 23:00:00
        [price] => 0.0634
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-08 05:00:00
        [price] => 0.0627
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-08 11:00:00
        [price] => 0.0685
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-08 12:00:00
        [price] => 0.0657
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-08 16:00:00
        [price] => 0.0831
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-08 17:00:00
        [price] => 0.0761
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-08 19:00:00
        [price] => 0.0823
        [kind] => high
        [label] => LH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-09 04:00:00
        [price] => 0.0654
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-09 12:00:00
        [price] => 0.06991
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-09 16:00:00
        [price] => 0.06446
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-10 01:00:00
        [price] => 0.06858
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-10 11:00:00
        [price] => 0.06388
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-10 16:00:00
        [price] => 0.06672
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-10 22:00:00
        [price] => 0.06192
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-11 03:00:00
        [price] => 0.06599
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-11 12:00:00
        [price] => 0.06392
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-12 00:00:00
        [price] => 0.06709
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-12 06:00:00
        [price] => 0.06459
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-11 14:45:00
        [price] => 0.06519
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-11 15:00:00
        [price] => 0.06451
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-11 16:30:00
        [price] => 0.06521
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-11 17:15:00
        [price] => 0.06421
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-11 17:45:00
        [price] => 0.06631
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-11 19:00:00
        [price] => 0.06531
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-11 19:30:00
        [price] => 0.06597
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-11 20:45:00
        [price] => 0.06541
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-11 21:30:00
        [price] => 0.06619
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-11 23:00:00
        [price] => 0.06562
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-12 00:00:00
        [price] => 0.06709
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-12 01:30:00
        [price] => 0.06567
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-12 02:30:00
        [price] => 0.06655
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-12 06:45:00
        [price] => 0.06459
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-12 09:45:00
        [price] => 0.06561
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-12 11:30:00
        [price] => 0.06502
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-12 12:45:00
        [price] => 0.06546
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-12 13:45:00
        [price] => 0.06466
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0.06599
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.06459
  165. levels_hl_timestamp: 2026-06-12 06:00:00
  166. levels_hh_price:
    0.06709
  167. levels_lh_price:
    0.06709
  168. levels_lh_timestamp: 2026-06-12 00:00:00
  169. levels_ll_price:
    0.06459
  170. strategy_details
  171. demand_zone_top:
    0.06511
  172. demand_zone_bottom:
    0.06392
  173. demand_zone_mid:
    0.064515
  174. demand_zone_freshness: weak
  175. demand_zone_strength:
    0.6817
  176. supply_zone :
  177. ¸
  178. regimes
  179. 1H : range_high
  180. 15m : range_medium
  181. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 100%

Trend

Trend Strength
0.000
Persistence
0.500
High Δ ATR
1.771
Low Δ ATR
1.079

Current Swing

Amp ATR
3.356
Speed
0.559
Efficiency
0.533

Structure

Retracement
0.789
Extension
1.208
Compression
0.980
Entropy
1.000
Breakout Str.
-2.673
Dist High ATR
-2.432
Dist Low ATR
1.594
27 pivots · 26 swings · Last pivot: ↓ 0.0646 @ bar 141

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 53%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.579
Strength Score 0.570
Quality Score 0.373
Cleanliness Score 0.277
Structural Quality 0.451
Pullback Score 0.789
Exhaustion Score 0.238
Continuation Score 0.535
Structure Score 0.605
Volatility Expansion 0.012
Momentum Type Score 0.559
Risk Score 0.196
Features
Ema20 Slope
-0.016
Ema50 Slope
-0.013
Ema Alignment Score
0.667
Price Vs Ema20
0.349
Price Vs Ema50
0.204
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
14.000
Candle Overlap Ratio
1.000
Wick Ratio
0.446
Trend Efficiency
0.533
Impulse Strength
3.877
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.789
Pullback Depth Atr
3.058
Extension From Mean
0.204
Impulse Decay Score
0.396
Opposing Wick Pressure
0.246
Volatility Percentile
0.020
Volatility Delta
-0.378
Body Ratio
0.467
Closes Position Ratio
0.515
Slope Consistency
0.324
Range Position
0.196
Distance To Recent High
-32.546
Distance To Recent Low
7.951
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7027ms Confidence avant OB : 65%65%

Order Book Imbalance

OBI Top 5 -0.024
avg -0.027 ± 0.029
OBI Top 10 -0.056

Microstructure

Mid Price
0.0656
Micro Price
0.0656
Spread
0.0610%

📌 Time Data

Start at Closed at Duration
12 Jun 2026
10:10:09

1 month

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06558 0.06454 0.06835 2.66 0.06545
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 0.06558
  • Stop Loss: 0.06454
  • Take Profit: 0.06835

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06454 - 0.06558 = -0.00104

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06558 - 0.06835 = -0.00277

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00277 / -0.00104 = 2.6635

📌 Position Size

Amount Margin Quantity Leverage
502.2641 100 7658.8004 5.02
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 -0.00104

Taille de position = 8 / -0.00104 = -7692.31

Taille de position USD = -7692.31 x 0.06558 = -504.46

Donc, tu peux acheter -7692.31 avec un stoploss a 0.06454

Avec un position size USD de -504.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7692.31 x -0.00104 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7692.31 x -0.00277 = 21.31

Si Take Profit atteint, tu gagneras 21.31$

Résumé

  • Taille de position -7692.31
  • Taille de position USD -504.46
  • Perte potentielle 8
  • Gain potentiel 21.31
  • Risk-Reward Ratio 2.6635

📌 Peformances

TP % Target TP $ Target
4.22 % 21.21 $
SL % Target SL $ Target
1.59 % 7.97 $
PNL PNL %
0 $ -0.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)

V2 Shadow Analysis

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

Quality Rank
N/A
seuil : top 15
Signal Confidence
65 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime