12 Jun 2026 at 16:20:03

Long Trade on GWEI (BosPullback)

With 748.37 GWEI at 0.181$ per unit. Take profit: 0.2076 (14.76 %) & Stop Loss: 0.1702 (5.91 %)

Long BosPullback on GWEI (12 Jun 2026 at 16:20:03 open - 1 month )

With 748.3658 GWEI at 0.1809$ per unit.

Position size of 135.3719 $
Take profit at 0.2076 (14.76 %) and Stop Loss at 0.1702 (5.91 %)

That's a 2.5 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 16:06

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bull_high_confirmed
65%
09/06 12:00
1h ↑ up transition bullish_transition moderate grind expansion bull_high
83%
09/06 12:00
15m ↔ neutral range range moderate grind compression bull_high
67%
09/06 13:45
5m ↓ down transition bearish_transition strong grind compression bear_medium
72%
10/06 23:30

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.93
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=1.42|prog=0.51|zone=weak
  4. stop_price: 0.17020004
  5. tp_price: 0.20761489
  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 : 1
  12. trend_strength : 0.1667
  13. trend_persistence : 0.5
  14. high_delta_atr : 2.1596
  15. low_delta_atr : 1.8211
  16. current_swing_amp_atr : 3.4822
  17. current_swing_speed : 0.49746
  18. current_swing_efficiency : 0.4142
  19. retracement_ratio : 2.4898
  20. extension_ratio : 1.1035
  21. compression_score : 1.1434
  22. swing_entropy : 1
  23. breakout_strength : 0.4065
  24. distance_to_last_high_atr : -1.7531
  25. distance_to_last_low_atr : 1.8561
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.19042
  31. last_pivot_index:
    146
  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 : medium
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.609
  46. state : up_bullish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7428
  49. scores_strength_score:
    0.5357
  50. scores_quality_score:
    0.3191
  51. scores_cleanliness_score:
    0.208
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4021
  55. scores_continuation_score:
    0.5515
  56. scores_structure_score:
    0.6942
  57. scores_volatility_expansion:
    0.9049
  58. scores_momentum_type_score:
    0.5763
  59. scores_risk_score:
    0.8599
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1521
  62. features_ema50_slope:
    0.0822
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.8345
  65. features_price_vs_ema50:
    1.4944
  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:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5841
  72. features_trend_efficiency:
    0.4142
  73. features_impulse_strength:
    3.4822
  74. features_directional_candle_ratio:
    0.6
  75. features_pullback_depth_ratio:
    2.4898
  76. features_pullback_depth_atr:
    3.8947
  77. features_extension_from_mean:
    1.4944
  78. features_impulse_decay_score:
    0.4482
  79. features_opposing_wick_pressure:
    0.3683
  80. features_volatility_percentile:
    0.86
  81. features_volatility_delta:
    0.2833
  82. features_body_ratio:
    0.4513
  83. features_closes_position_ratio:
    0.4679
  84. features_slope_consistency:
    0.8424
  85. features_range_position:
    0.8599
  86. features_distance_to_recent_high:
    -1.7045
  87. features_distance_to_recent_low:
    10.4648
  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 : 0.0928
  99. obi_top10 : 0.2641
  100. micro_price : 0.18059044
  101. spread_pct : 0.166187
  102. mid_price : 0.18067
  103. bid_wall_price : 0.177
  104. bid_wall_size : 123525.8
  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 : 0.0865
  111. obi_top5_std : 0.0201
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7146
  115. aggregation_tick : 0.001
  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] => 2026-06-08 13:00:00
        [price] => 0.14302
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-06-08 18:00:00
        [price] => 0.175
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-06-08 19:00:00
        [price] => 0.15327
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-06-08 23:00:00
        [price] => 0.17474
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-06-09 04:00:00
        [price] => 0.158
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-06-09 05:00:00
        [price] => 0.18302
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-06-09 07:00:00
        [price] => 0.16606
        [kind] => low
        [label] => HL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-06-09 09:00:00
        [price] => 0.18086
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-06-09 17:00:00
        [price] => 0.15769
        [kind] => low
        [label] => LL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-06-10 06:00:00
        [price] => 0.18252
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-06-10 13:00:00
        [price] => 0.16955
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-06-10 19:00:00
        [price] => 0.18153
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-06-11 06:00:00
        [price] => 0.16678
        [kind] => low
        [label] => LL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-06-11 07:00:00
        [price] => 0.1749
        [kind] => high
        [label] => LH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-06-11 10:00:00
        [price] => 0.16566
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-06-11 17:00:00
        [price] => 0.17771
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-06-12 01:00:00
        [price] => 0.1609
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-06-12 09:00:00
        [price] => 0.17868
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-06-12 10:00:00
        [price] => 0.1708
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-06-12 17:00:00
        [price] => 0.19042
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-06-11 19:30:00
        [price] => 0.16935
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-06-11 21:00:00
        [price] => 0.16295
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-06-11 21:15:00
        [price] => 0.16643
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-06-12 00:00:00
        [price] => 0.16647
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-06-12 01:30:00
        [price] => 0.1609
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-06-12 02:00:00
        [price] => 0.17051
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-06-12 05:00:00
        [price] => 0.16428
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-06-12 06:30:00
        [price] => 0.16969
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-06-12 08:30:00
        [price] => 0.16432
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-06-12 09:30:00
        [price] => 0.17868
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-06-12 10:45:00
        [price] => 0.1708
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-06-12 12:15:00
        [price] => 0.17677
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-06-12 12:45:00
        [price] => 0.17231
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-06-12 14:00:00
        [price] => 0.18024
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-06-12 15:00:00
        [price] => 0.1764
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-06-12 15:45:00
        [price] => 0.18618
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-06-12 16:00:00
        [price] => 0.18
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-06-12 17:30:00
        [price] => 0.19042
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-06-12 17:45:00
        [price] => 0.18142
        [kind] => low
        [label] => HL
    )
    
  162. bos_level_long : 0.17868
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    0.1708
  166. levels_hl_timestamp: 2026-06-12 10:00:00
  167. levels_hh_price:
    0.19042
  168. levels_lh_price:
    0.19042
  169. levels_lh_timestamp: 2026-06-12 17:00:00
  170. levels_ll_price:
    0.1708
  171. strategy_details
  172. demand_zone_top:
    0.17474
  173. demand_zone_bottom:
    0.158
  174. demand_zone_mid:
    0.16637
  175. demand_zone_freshness: weak
  176. demand_zone_strength:
    1.1469
  177. supply_zone :
  178. ¸
  179. regimes
  180. 1H : bull_high
  181. 15m : bull_high
  182. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 100%

Trend

Trend Strength
0.167
Persistence
0.500
High Δ ATR
2.160
Low Δ ATR
1.821

Current Swing

Amp ATR
3.482
Speed
0.497
Efficiency
0.414

Structure

Retracement
2.490
Extension
1.104
Compression
1.143
Entropy
1.000
Breakout Str.
0.407
Dist High ATR
-1.753
Dist Low ATR
1.856
29 pivots · 28 swings · Last pivot: ↑ 0.1904 @ bar 146

Trend Analyzer 1H

1H ↑ up up_bullish_transition_grind
Confidence 61%

Context

phase transition
structure bullish_transition
breakout fresh_breakout
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility expansion
risk premium
htf unknown
Scores
Direction Score 0.743
Strength Score 0.536
Quality Score 0.319
Cleanliness Score 0.208
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.402
Continuation Score 0.552
Structure Score 0.694
Volatility Expansion 0.905
Momentum Type Score 0.576
Risk Score 0.860
Features
Ema20 Slope
0.152
Ema50 Slope
0.082
Ema Alignment Score
1.000
Price Vs Ema20
0.835
Price Vs Ema50
1.494
Recent Hh Hl Score
0.600
Recent Lh Ll Score
0.400
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.584
Trend Efficiency
0.414
Impulse Strength
3.482
Directional Candle Ratio
0.600
Pullback Depth Ratio
2.490
Pullback Depth Atr
3.895
Extension From Mean
1.494
Impulse Decay Score
0.448
Opposing Wick Pressure
0.368
Volatility Percentile
0.860
Volatility Delta
0.283
Body Ratio
0.451
Closes Position Ratio
0.468
Slope Consistency
0.842
Range Position
0.860
Distance To Recent High
-1.705
Distance To Recent Low
10.465
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7146ms Confidence avant OB : 93%93%

Order Book Imbalance

OBI Top 5 0.093
avg 0.087 ± 0.020
OBI Top 10 0.264

Microstructure

Mid Price
0.1807
Micro Price
0.1806
Spread
0.1662%

↑ Bid Wall (Support)

Price
0.1770
Size
123,525.80

📌 Time Data

Start at Closed at Duration
12 Jun 2026
16:20:03

1 month

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1809 0.1702 0.2076 2.5 0.1804
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 0.1809
  • Stop Loss: 0.1702
  • Take Profit: 0.2076

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1702 - 0.1809 = -0.0107

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1809 - 0.2076 = -0.0267

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0267 / -0.0107 = 2.4953

📌 Position Size

Amount Margin Quantity Leverage
135.3719 100 748.3658 1.35
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 -0.0107

Taille de position = 8 / -0.0107 = -747.66

Taille de position USD = -747.66 x 0.1809 = -135.25

Donc, tu peux acheter -747.66 avec un stoploss a 0.1702

Avec un position size USD de -135.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -747.66 x -0.0107 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -747.66 x -0.0267 = 19.96

Si Take Profit atteint, tu gagneras 19.96$

Résumé

  • Taille de position -747.66
  • Taille de position USD -135.25
  • Perte potentielle 8
  • Gain potentiel 19.96
  • Risk-Reward Ratio 2.4953

📌 Peformances

TP % Target TP $ Target
14.76 % 19.98 $
SL % Target SL $ Target
5.91 % 8.01 $
PNL PNL %
0 $ -0.28
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
#8 / 94 OK
seuil : top 15
Signal Confidence
93 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD TRADE
rank + confidence + regime