28 May 2026 at 01:25:19

Long Trade on CBRS (WedgePullback)

With 0.93 CBRS at 258.35$ per unit. Take profit: 284.1707 (9.99 %) & Stop Loss: 249.7431 (3.33 %)

Long WedgePullback on CBRS (28 May 2026 at 01:25:19 to 12:15:00 - 10 hours )

With 0.9295 CBRS at 258.35$ per unit.

Position size of 240.133 $
Take profit at 284.1707 (9.99 %) and Stop Loss at 249.7431 (3.33 %)

That's a 3 RR Trade
Duration: 10 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
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 : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

Score : 0

ml_regime : bear_high

rules_regime : bear_high

rules_regime_4h : range_medium

tf_aligned :

28/05 01:01

BTC Correlation Coin Market Regime

4H_regime : bear_high

1H_regime : bull_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ — bear_high
50%
26/05 20:00
1h ↓ down transition bearish_transition strong explosive volatile_reversal bear_high
59%
26/05 21:00
15m ↓ down range range moderate grind compression bear_high
68%
26/05 21:15
5m ↓ down transition bearish_transition strong fading compression bear_low
57%
26/05 21:15

Signal

WedgePullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.7
  3. reason: descending_wedge_hl_anticipation
  4. stop_price: 249.74310362
  5. tp_price: 284.17068914
  6. atr:
  7. score: 0.7
  8. confidence_pre_ob: 0.7
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 : 0.676
  12. trend_strength : 0.4171
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.5951
  15. low_delta_atr : 1.2736
  16. current_swing_amp_atr : 3.6696
  17. current_swing_speed : 0.91741
  18. current_swing_efficiency : 0.5416
  19. retracement_ratio : 1.172
  20. extension_ratio : 0.8567
  21. compression_score : 2.5824
  22. swing_entropy : 1
  23. breakout_strength : -1.3926
  24. distance_to_last_high_atr : -1.9877
  25. distance_to_last_low_atr : 2.067
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    270.5
  31. last_pivot_index:
    140
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  35. phase : transition
  36. structure : bullish_transition
  37. breakout_state : breakout_retest
  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 : premium
  45. confidence : 0.583
  46. state : up_bullish_transition_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.753
  49. scores_strength_score:
    0.6362
  50. scores_quality_score:
    0.311
  51. scores_cleanliness_score:
    0.2572
  52. scores_structural_quality:
    0.355
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3372
  55. scores_continuation_score:
    0.575
  56. scores_structure_score:
    0.718
  57. scores_volatility_expansion:
    0.724
  58. scores_momentum_type_score:
    0.6958
  59. scores_risk_score:
    0.7062
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0361
  62. features_ema50_slope:
    0.0412
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.1631
  65. features_price_vs_ema50:
    0.7719
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4856
  72. features_trend_efficiency:
    0.5416
  73. features_impulse_strength:
    5.0814
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.172
  76. features_pullback_depth_atr:
    4.219
  77. features_extension_from_mean:
    0.7719
  78. features_impulse_decay_score:
    0.5716
  79. features_opposing_wick_pressure:
    0.1641
  80. features_volatility_percentile:
    0.54
  81. features_volatility_delta:
    0.7659
  82. features_body_ratio:
    0.629
  83. features_closes_position_ratio:
    0.5563
  84. features_slope_consistency:
    0.781
  85. features_range_position:
    0.7062
  86. features_distance_to_recent_high:
    -1.947
  87. features_distance_to_recent_low:
    4.6789
  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 : -0.1209
  99. obi_top10 : -0.0963
  100. micro_price : 260.47113744
  101. spread_pct : 0.023035
  102. mid_price : 260.5
  103. bid_wall_price : 259
  104. bid_wall_size : 320.89
  105. bid_wall_dist_atr :
  106. ask_wall_price : 262
  107. ask_wall_size : 356.038
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.1208
  111. obi_top5_std : 0.0006
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7075
  115. aggregation_tick : 1
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : wedge_pullback
  120. ms_state_4h : range
  121. ms_state_1h : pullback_up
  122. strategy_details
  123. wedge_4h_type: descending_wedge
  124. wedge_4h_strength:
    0.752
  125. wedge_4h_bias: bullish_breakout
  126. wedge_4h_breakout_type: descending_wedge
  127. wedge_4h_breakout_strength:
    0.752
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        [51] => Array
            (
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                [value] => 247.54101149
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        [52] => Array
            (
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                [value] => 247.05724408
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        [53] => Array
            (
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                [value] => 246.57347667
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        [54] => Array
            (
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                [value] => 246.08970926
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        [55] => Array
            (
                [time] => 1779552000
                [value] => 245.60594185
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        [56] => Array
            (
                [time] => 1779566400
                [value] => 245.12217444
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        [57] => Array
            (
                [time] => 1779580800
                [value] => 244.63840703
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        [58] => Array
            (
                [time] => 1779595200
                [value] => 244.15463962
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        [59] => Array
            (
                [time] => 1779609600
                [value] => 243.67087221
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        [60] => Array
            (
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                [value] => 243.1871048
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        [61] => Array
            (
                [time] => 1779638400
                [value] => 242.70333739
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        [62] => Array
            (
                [time] => 1779652800
                [value] => 242.21956998
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        [63] => Array
            (
                [time] => 1779667200
                [value] => 241.73580257
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        [64] => Array
            (
                [time] => 1779681600
                [value] => 241.25203516
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        [65] => Array
            (
                [time] => 1779696000
                [value] => 240.76826775
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        [66] => Array
            (
                [time] => 1779710400
                [value] => 240.28450034
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        [67] => Array
            (
                [time] => 1779724800
                [value] => 239.80073293
            )
    
        [68] => Array
            (
                [time] => 1779739200
                [value] => 239.31696552
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        [69] => Array
            (
                [time] => 1779753600
                [value] => 238.83319811
            )
    
        [70] => Array
            (
                [time] => 1779768000
                [value] => 238.3494307
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        [71] => Array
            (
                [time] => 1779782400
                [value] => 237.86566329
            )
    
        [72] => Array
            (
                [time] => 1779796800
                [value] => 237.38189588
            )
    
        [73] => Array
            (
                [time] => 1779811200
                [value] => 236.89812847
            )
    
        [74] => Array
            (
                [time] => 1779825600
                [value] => 236.41436105
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        [75] => Array
            (
                [time] => 1779840000
                [value] => 235.93059364
            )
    
        [76] => Array
            (
                [time] => 1779854400
                [value] => 235.44682623
            )
    
        [77] => Array
            (
                [time] => 1779868800
                [value] => 234.96305882
            )
    
        [78] => Array
            (
                [time] => 1779883200
                [value] => 234.47929141
            )
    
        [79] => Array
            (
                [time] => 1779897600
                [value] => 233.995524
            )
    
        [80] => Array
            (
                [time] => 1779912000
                [value] => 233.51175659
            )
    
        [81] => Array
            (
                [time] => 1779926400
                [value] => 233.02798918
            )
    
        [82] => Array
            (
                [time] => 1779940800
                [value] => 232.54422177
            )
    
    )
    
  130. wedge_4h_breakout_bar:
    Array
    (
        [time] => 1779883200
        [price] => 256.55
    )
    
  131. strategy_details
  132. pivots_4h_0:
    Array
    (
        [time] => 2026-05-14 12:00:00
        [price] => 395.17
        [kind] => high
        [label] => 
    )
    
  133. pivots_4h_1:
    Array
    (
        [time] => 2026-05-18 00:00:00
        [price] => 262
        [kind] => low
        [label] => 
    )
    
  134. pivots_4h_2:
    Array
    (
        [time] => 2026-05-20 12:00:00
        [price] => 337.91
        [kind] => high
        [label] => 
    )
    
  135. pivots_4h_3:
    Array
    (
        [time] => 2026-05-23 08:00:00
        [price] => 246.84
        [kind] => low
        [label] => LL
    )
    
  136. pivots_4h_4:
    Array
    (
        [time] => 2026-05-25 08:00:00
        [price] => 269.67
        [kind] => high
        [label] => LH
    )
    
  137. pivots_4h_5:
    Array
    (
        [time] => 2026-05-26 12:00:00
        [price] => 236.4
        [kind] => low
        [label] => LL
    )
    
  138. pivots_4h_6:
    Array
    (
        [time] => 2026-05-26 16:00:00
        [price] => 254.78
        [kind] => high
        [label] => LH
    )
    
  139. pivots_4h_7:
    Array
    (
        [time] => 2026-05-27 00:00:00
        [price] => 236.7
        [kind] => low
        [label] => HL
    )
    
  140. strategy_details
  141. pivots_1h_0:
    Array
    (
        [time] => 2026-05-24 01:00:00
        [price] => 263.12
        [kind] => high
        [label] => LH
    )
    
  142. pivots_1h_1:
    Array
    (
        [time] => 2026-05-24 03:00:00
        [price] => 257.47
        [kind] => low
        [label] => HL
    )
    
  143. pivots_1h_2:
    Array
    (
        [time] => 2026-05-24 11:00:00
        [price] => 262.75
        [kind] => high
        [label] => LH
    )
    
  144. pivots_1h_3:
    Array
    (
        [time] => 2026-05-24 14:00:00
        [price] => 255.18
        [kind] => low
        [label] => LL
    )
    
  145. pivots_1h_4:
    Array
    (
        [time] => 2026-05-24 20:00:00
        [price] => 264.62
        [kind] => high
        [label] => HH
    )
    
  146. pivots_1h_5:
    Array
    (
        [time] => 2026-05-25 02:00:00
        [price] => 259.03
        [kind] => low
        [label] => HL
    )
    
  147. pivots_1h_6:
    Array
    (
        [time] => 2026-05-25 11:00:00
        [price] => 269.67
        [kind] => high
        [label] => HH
    )
    
  148. pivots_1h_7:
    Array
    (
        [time] => 2026-05-25 13:00:00
        [price] => 262.32
        [kind] => low
        [label] => HL
    )
    
  149. pivots_1h_8:
    Array
    (
        [time] => 2026-05-25 18:00:00
        [price] => 267.08
        [kind] => high
        [label] => LH
    )
    
  150. pivots_1h_9:
    Array
    (
        [time] => 2026-05-26 02:00:00
        [price] => 255.43
        [kind] => low
        [label] => LL
    )
    
  151. pivots_1h_10:
    Array
    (
        [time] => 2026-05-26 03:00:00
        [price] => 259.28
        [kind] => high
        [label] => LH
    )
    
  152. pivots_1h_11:
    Array
    (
        [time] => 2026-05-26 08:00:00
        [price] => 251.74
        [kind] => low
        [label] => LL
    )
    
  153. pivots_1h_12:
    Array
    (
        [time] => 2026-05-26 13:00:00
        [price] => 262.88
        [kind] => high
        [label] => HH
    )
    
  154. pivots_1h_13:
    Array
    (
        [time] => 2026-05-26 14:00:00
        [price] => 237.39
        [kind] => low
        [label] => LL
    )
    
  155. pivots_1h_14:
    Array
    (
        [time] => 2026-05-27 00:00:00
        [price] => 236.7
        [kind] => low
        [label] => HL
    )
    
  156. pivots_1h_15:
    Array
    (
        [time] => 2026-05-27 08:00:00
        [price] => 248.73
        [kind] => high
        [label] => LH
    )
    
  157. pivots_1h_16:
    Array
    (
        [time] => 2026-05-27 13:00:00
        [price] => 243.64
        [kind] => low
        [label] => HL
    )
    
  158. pivots_1h_17:
    Array
    (
        [time] => 2026-05-27 14:00:00
        [price] => 267.5
        [kind] => high
        [label] => HH
    )
    
  159. pivots_1h_18:
    Array
    (
        [time] => 2026-05-27 16:00:00
        [price] => 250.06
        [kind] => low
        [label] => HL
    )
    
  160. pivots_1h_19:
    Array
    (
        [time] => 2026-05-27 20:00:00
        [price] => 270.5
        [kind] => high
        [label] => HH
    )
    
  161. strategy_details
  162. levels_hl_price:
    250.06
  163. levels_hl_timestamp: 2026-05-27 16:00:00
  164. levels_hh_price:
    270.5
  165. levels_lh_price:
    270.5
  166. levels_lh_timestamp: 2026-05-27 20:00:00
  167. levels_ll_price:
    250.06
  168. ¸
  169. regimes
  170. 4H : bear_high
  171. 1H : bull_high
  172. 15m : range_high
  173. ¸
  174. trend_analyzer_4h
  175. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↑ pullback_up
Confidence 68%

Trend

Trend Strength
0.417
Persistence
0.500
High Δ ATR
0.595
Low Δ ATR
1.274

Current Swing

Amp ATR
3.670
Speed
0.917
Efficiency
0.542

Structure

Retracement
1.172
Extension
0.857
Compression
2.582
Entropy
1.000
Breakout Str.
-1.393
Dist High ATR
-1.988
Dist Low ATR
2.067
26 pivots · 25 swings · Last pivot: ↑ 270.5000 @ bar 140

Trend Analyzer 1H

1H ↑ up up_bullish_transition_balanced
Confidence 58%

Context

phase transition
structure bullish_transition
breakout breakout_retest
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility volatile_reversal
risk premium
htf unknown
Scores
Direction Score 0.753
Strength Score 0.636
Quality Score 0.311
Cleanliness Score 0.257
Structural Quality 0.355
Pullback Score 1.000
Exhaustion Score 0.337
Continuation Score 0.575
Structure Score 0.718
Volatility Expansion 0.724
Momentum Type Score 0.696
Risk Score 0.706
Features
Ema20 Slope
0.036
Ema50 Slope
0.041
Ema Alignment Score
1.000
Price Vs Ema20
0.163
Price Vs Ema50
0.772
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.486
Trend Efficiency
0.542
Impulse Strength
5.081
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.172
Pullback Depth Atr
4.219
Extension From Mean
0.772
Impulse Decay Score
0.572
Opposing Wick Pressure
0.164
Volatility Percentile
0.540
Volatility Delta
0.766
Body Ratio
0.629
Closes Position Ratio
0.556
Slope Consistency
0.781
Range Position
0.706
Distance To Recent High
-1.947
Distance To Recent Low
4.679
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7075ms Confidence avant OB : 70%70%

Order Book Imbalance

OBI Top 5 -0.121
avg -0.121 ± 0.001
OBI Top 10 -0.096

Microstructure

Mid Price
260.5000
Micro Price
260.4711
Spread
0.0230%

↑ Bid Wall (Support)

Price
259.0000
Size
320.89

↓ Ask Wall (Resistance)

Price
262.0000
Size
356.04

📌 Time Data

Start at Closed at Duration
28 May 2026
01:25:19
28 May 2026
12:15:00
10 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
258.35 249.7431 284.1707 3 244.33
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 258.35
  • Stop Loss: 249.7431
  • Take Profit: 284.1707

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 249.7431 - 258.35 = -8.6069

  • Récompense (distance jusqu'au take profit):

    E - TP = 258.35 - 284.1707 = -25.8207

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -25.8207 / -8.6069 = 3

📌 Position Size

Amount Margin Quantity Leverage
240.133 100 0.9295 2.40
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 -8.6069

Taille de position = 8 / -8.6069 = -0.93

Taille de position USD = -0.93 x 258.35 = -240.27

Donc, tu peux acheter -0.93 avec un stoploss a 249.7431

Avec un position size USD de -240.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.93 x -8.6069 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.93 x -25.8207 = 24.01

Si Take Profit atteint, tu gagneras 24.01$

Résumé

  • Taille de position -0.93
  • Taille de position USD -240.27
  • Perte potentielle 8
  • Gain potentiel 24.01
  • Risk-Reward Ratio 3

📌 Peformances

TP % Target TP $ Target
9.99 % 24 $
SL % Target SL $ Target
3.33 % 8 $
PNL PNL %
-8 $ -3.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.9675 % 119.09 % 12

📌 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
#29 / n/a OUT
seuil : top 15 · score du 28/05/2026 01:00
Signal Confidence
70 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime