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Short Trade on BCH

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18 Jun 2026 at 00:06:51

Short Trade on BCH (BosPullback)

With 1.78 BCH at 211.01$ per unit. Take profit: 199.7908 (5.32 %) & Stop Loss: 215.4977 (2.13 %)

Short BosPullback on BCH (18 Jun 2026 at 00:06:51 to 11:35:00 - 11 hours )

With 1.7827 BCH at 211.01$ per unit.

Position size of 376.1586 $
Take profit at 199.7908 (5.32 %) and Stop Loss at 215.4977 (2.13 %)

That's a 2.5 RR Trade
Duration: 11 hours

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 8
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 : range_medium

rules_regime_5m : bear_low

Score : 1

ml_regime : range_low

rules_regime : bear_high

rules_regime_4h : bear_high

tf_aligned : 1

18/06 00:01
BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : bear_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate fading compression bear_high
73%
12/06 20:00
1h ↑ up transition bullish_transition moderate grind compression range_high
47%
12/06 20:00
15m ↔ — — — — — — unknown
40%
12/06 20:45
5m ↓ down range range moderate balanced compression range_low
49%
12/06 20:50

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.72
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=9|retests=1|break_atr=0.32|prog=0.61|zone=tested
  4. stop_price: 215.49768148
  5. tp_price: 199.79079629
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
    5. ¸
  5. market_structures
    6. ¸
  6. market_structure_v2
  7. timeframe : 1h
  8. state : pullback_down
  9. confidence : 0.474
  10. trend_strength : -0.1306
  11. trend_persistence : 0.5
  12. high_delta_atr : -1.011
  13. low_delta_atr : -0.6256
  14. current_swing_amp_atr : 2.5237
  15. current_swing_speed : 0.36053
  16. current_swing_efficiency : 0.2919
  17. retracement_ratio : 0.7245
  18. extension_ratio : 0.8734
  19. compression_score : 1.025
  20. swing_entropy : 1
  21. breakout_strength : -2.6361
  22. distance_to_last_high_atr : -1.6252
  23. distance_to_last_low_atr : 1.0338
  24. pivot_count : 15
  25. swing_count : 14
  26. market_structure_v2
  27. last_pivot_kind: high
  28. last_pivot_price: 
    215.27
  29. last_pivot_index: 
    55
    30. ¸
  30. trend_analyzer_1h
    31. ¸
  31. orderbook_context
  32. obi_top5 : 0.0328
  33. obi_top10 : 0.1168
  34. micro_price : 210.7606962
  35. spread_pct : 0.023727
  36. mid_price : 210.755
  37. bid_wall_price : 208
  38. bid_wall_size : 3500.178
  39. bid_wall_dist_atr :
  40. ask_wall_price :
  41. ask_wall_size :
  42. ask_wall_dist_atr :
  43. snapshots_count : 5
  44. obi_top5_mean : 0.0499
  45. obi_top5_std : 0.0158
  46. pressure_side : neutral
  47. collection_mode : ws_rolling
  48. collection_ms : 7021
  49. aggregation_tick : 1
  50. error :
    51. ¸
  51. strategy_details
  52. strategy : bos_pullback
  53. ms_state_1h : pullback_down
  54. strategy_details
  55. pivots_1h_0: 
    Array
(
    [time] => 2026-06-11 23:00:00
    [price] => 206.6
    [kind] => high
    [label] => 
)
  56. pivots_1h_1: 
    Array
(
    [time] => 2026-06-12 01:00:00
    [price] => 203.53
    [kind] => low
    [label] => 
)
  57. pivots_1h_2: 
    Array
(
    [time] => 2026-06-12 04:00:00
    [price] => 206.8
    [kind] => high
    [label] => 
)
  58. pivots_1h_3: 
    Array
(
    [time] => 2026-06-12 07:00:00
    [price] => 201.3
    [kind] => low
    [label] => LL
)
  59. pivots_1h_4: 
    Array
(
    [time] => 2026-06-12 12:00:00
    [price] => 205.84
    [kind] => high
    [label] => LH
)
  60. pivots_1h_5: 
    Array
(
    [time] => 2026-06-12 13:00:00
    [price] => 201.74
    [kind] => low
    [label] => HL
)
  61. pivots_1h_6: 
    Array
(
    [time] => 2026-06-12 15:00:00
    [price] => 208.96
    [kind] => high
    [label] => HH
)
  62. pivots_1h_7: 
    Array
(
    [time] => 2026-06-12 18:00:00
    [price] => 203.27
    [kind] => low
    [label] => HL
)
  63. pivots_1h_8: 
    Array
(
    [time] => 2026-06-16 21:00:00
    [price] => 223.71
    [kind] => high
    [label] => HH
)
  64. pivots_1h_9: 
    Array
(
    [time] => 2026-06-16 23:00:00
    [price] => 211.49
    [kind] => low
    [label] => HL
)
  65. pivots_1h_10: 
    Array
(
    [time] => 2026-06-17 02:00:00
    [price] => 217.34
    [kind] => high
    [label] => LH
)
  66. pivots_1h_11: 
    Array
(
    [time] => 2026-06-17 12:00:00
    [price] => 209.94
    [kind] => low
    [label] => LL
)
  67. pivots_1h_12: 
    Array
(
    [time] => 2026-06-17 16:00:00
    [price] => 217.92
    [kind] => high
    [label] => LH
)
  68. pivots_1h_13: 
    Array
(
    [time] => 2026-06-17 19:00:00
    [price] => 208.3
    [kind] => low
    [label] => LL
)
  69. pivots_1h_14: 
    Array
(
    [time] => 2026-06-18 02:00:00
    [price] => 215.27
    [kind] => high
    [label] => LH
)
  70. strategy_details
  71. pivots_15m_0: 
    Array
(
    [time] => 2026-06-17 03:15:00
    [price] => 215.51
    [kind] => high
    [label] => 
)
  72. pivots_15m_1: 
    Array
(
    [time] => 2026-06-17 03:45:00
    [price] => 213.24
    [kind] => low
    [label] => 
)
  73. pivots_15m_2: 
    Array
(
    [time] => 2026-06-17 05:30:00
    [price] => 215.69
    [kind] => high
    [label] => 
)
  74. pivots_15m_3: 
    Array
(
    [time] => 2026-06-17 08:45:00
    [price] => 212.79
    [kind] => low
    [label] => LL
)
  75. pivots_15m_4: 
    Array
(
    [time] => 2026-06-17 09:45:00
    [price] => 214.65
    [kind] => high
    [label] => LH
)
  76. pivots_15m_5: 
    Array
(
    [time] => 2026-06-17 12:30:00
    [price] => 209.94
    [kind] => low
    [label] => LL
)
  77. pivots_15m_6: 
    Array
(
    [time] => 2026-06-17 13:30:00
    [price] => 213.68
    [kind] => high
    [label] => LH
)
  78. pivots_15m_7: 
    Array
(
    [time] => 2026-06-17 14:45:00
    [price] => 211.49
    [kind] => low
    [label] => HL
)
  79. pivots_15m_8: 
    Array
(
    [time] => 2026-06-17 16:15:00
    [price] => 217.92
    [kind] => high
    [label] => HH
)
  80. pivots_15m_9: 
    Array
(
    [time] => 2026-06-17 17:00:00
    [price] => 214.86
    [kind] => low
    [label] => HL
)
  81. pivots_15m_10: 
    Array
(
    [time] => 2026-06-17 17:45:00
    [price] => 216.96
    [kind] => high
    [label] => LH
)
  82. pivots_15m_11: 
    Array
(
    [time] => 2026-06-17 18:00:00
    [price] => 211.94
    [kind] => low
    [label] => LL
)
  83. pivots_15m_12: 
    Array
(
    [time] => 2026-06-17 18:45:00
    [price] => 217.26
    [kind] => high
    [label] => LH
)
  84. pivots_15m_13: 
    Array
(
    [time] => 2026-06-17 19:45:00
    [price] => 208.3
    [kind] => low
    [label] => LL
)
  85. pivots_15m_14: 
    Array
(
    [time] => 2026-06-17 21:30:00
    [price] => 212.54
    [kind] => high
    [label] => LH
)
  86. pivots_15m_15: 
    Array
(
    [time] => 2026-06-17 22:00:00
    [price] => 208.52
    [kind] => low
    [label] => HL
)
  87. pivots_15m_16: 
    Array
(
    [time] => 2026-06-18 02:15:00
    [price] => 215.27
    [kind] => high
    [label] => HH
)
  88. bos_level_long : 0
  89. bos_level_short : 209.94
  90. strategy_details
  91. levels_hl_price: 
    208.3
  92. levels_hl_timestamp: 2026-06-17 19:00:00
  93. levels_hh_price: 
    215.27
  94. levels_lh_price: 
    215.27
  95. levels_lh_timestamp: 2026-06-18 02:00:00
  96. levels_ll_price: 
    208.3
  97. strategy_details
  98. demand_zone_top: 
    206.39
  99. demand_zone_bottom: 
    203.27
  100. demand_zone_mid: 
    204.83
  101. demand_zone_freshness: tested
  102. demand_zone_strength: 
    0.8465
  103. strategy_details
  104. supply_zone_top: 
    217.34
  105. supply_zone_bottom: 
    212.89
  106. supply_zone_mid: 
    215.115
  107. supply_zone_freshness: tested
  108. supply_zone_strength: 
    0.6771
    109. ¸
  109. regimes
  110. 1H : range_high
  111. 15m : bear_medium
    112. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ pullback_down
Confidence 47%

Trend

Trend Strength
-0.131
Persistence
0.500
High Δ ATR
-1.011
Low Δ ATR
-0.626

Current Swing

Amp ATR
2.524
Speed
0.361
Efficiency
0.292

Structure

Retracement
0.725
Extension
0.873
Compression
1.025
Entropy
1.000
Breakout Str.
-2.636
Dist High ATR
-1.625
Dist Low ATR
1.034
15 pivots · 14 swings · Last pivot: ↑ 215.2700 @ bar 55

Trend Analyzer 1H

No Trend Analyzer data for this trade.

Orderbook Context

→ neutral ws_rolling 5 snapshots 7021ms Confidence avant OB : 72% → 72%

Order Book Imbalance

OBI Top 5 0.033
avg 0.050 ± 0.016
OBI Top 10 0.117

Microstructure

Mid Price
210.7550
Micro Price
210.7607
Spread
0.0237%

↑ Bid Wall (Support)

Price
208.0000
Size
3,500.18

📌 Time Data

Start at Closed at Duration
18 Jun 2026
00:06:51		 18 Jun 2026
11:35:00		 11 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
211.01 215.4977 199.7908 2.5 210.77
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 211.01
  • Stop Loss: 215.4977
  • Take Profit: 199.7908

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 215.4977 - 211.01 = 4.4877

  • Récompense (distance jusqu'au take profit):

    E - TP = 211.01 - 199.7908 = 11.2192

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 11.2192 / 4.4877 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
376.1586 100 1.7827 3.76
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 4.4877

Taille de position = 8 / 4.4877 = 1.78

Taille de position USD = 1.78 x 211.01 = 375.6

Donc, tu peux acheter 1.78 avec un stoploss a 215.4977

Avec un position size USD de 375.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1.78 x 4.4877 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1.78 x 11.2192 = 19.97

Si Take Profit atteint, tu gagneras 19.97$

Résumé

  • Taille de position 1.78
  • Taille de position USD 375.6
  • Perte potentielle 7.99
  • Gain potentiel 19.97
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
5.32 % 20 $
SL % Target SL $ Target
2.13 % 8 $
PNL PNL %
20 $ 5.32
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
(
    [short_term] => Array
        (
            [max_gain] => 5.26
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 210.59000000
            [low] => 205.75000000
            [mfe_pct] => 2.49
            [mae_pct] => -0.2
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-06-18T00:06:51-04:00
            [end_at] => 2026-06-18T02:06:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.26
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 210.59000000
            [low] => 205.75000000
            [mfe_pct] => 2.49
            [mae_pct] => -0.2
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2026-06-18T00:06:51-04:00
            [end_at] => 2026-06-18T07:06:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 215.27000000
            [high_after] => 210.59000000
            [low_before] => 210.17000000
            [low_after] => 205.75000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

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

Quality Rank
#80 / 120 OUT
seuil : top 15
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
1 OK
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime