Short Trade on HOLO 15 Sep 2025 at 18:15:48

Take profit at 0.3802 (1.35 %) and Stop Loss at 0.388 (0.67 %)

Short Trade on HOLO

The 15 Sep 2025 at 18:15:48

With 3093.1979 HOLO at 0.3854$ per unit.

Position size of 1192.1185 $

Take profit at 0.3802 (1.35 %) and Stop Loss at 0.388 (0.67 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.32
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.408503

15m : -0.082433

1H : 0.074888

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001724213413
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.386343
  4. ema21 : 0.399311
  5. ema50 : 0.413972
  6. ema100 : 0.42447
  7. price_ema9_diff : -0.00244212
  8. ema9_ema21_diff : -0.0324758
  9. ema21_ema50_diff : -0.0354158
  10. price_ema100_diff : -0.0920446
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.693233
  14. ema_slope_21 : -0.527926
  15. ema_slope_50 : -0.303419
  16. ema_slope_100 : -0.182868
  17. rsi : 0.341511
  18. adx : 0.282479
  19. kc_percentage : 0.147646
  20. kc_width_percentage : 0.0960134
  21. volume_ema_diff : -0.625135
  22. volume_ema1 : 565188.33448653
  23. volume_ema2 : 1507713.9698961
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.381926
  28. ema21 : 0.381994
  29. ema50 : 0.391634
  30. ema100 : 0.40502
  31. price_ema9_diff : 0.00909525
  32. ema9_ema21_diff : -0.000178615
  33. ema21_ema50_diff : -0.0246156
  34. price_ema100_diff : -0.0484434
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.124285
  38. ema_slope_21 : -0.0473665
  39. ema_slope_50 : -0.146109
  40. ema_slope_100 : -0.137134
  41. rsi : 0.535537
  42. adx : 0.392331
  43. kc_percentage : 0.768043
  44. kc_width_percentage : 0.0350263
  45. volume_ema_diff : -0.755115
  46. volume_ema1 : 64833.472690865
  47. volume_ema2 : 264750.71227724
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.383596
  52. ema21 : 0.381544
  53. ema50 : 0.380335
  54. ema100 : 0.382905
  55. price_ema9_diff : 0.00470081
  56. ema9_ema21_diff : 0.00537878
  57. ema21_ema50_diff : 0.00317826
  58. price_ema100_diff : 0.00651453
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.100874
  62. ema_slope_21 : 0.0805713
  63. ema_slope_50 : 0.0351482
  64. ema_slope_100 : -0.000565808
  65. rsi : 0.705741
  66. adx : 0.298497
  67. kc_percentage : 1.03846
  68. kc_width_percentage : 0.0179444
  69. volume_ema_diff : -0.744331
  70. volume_ema1 : 23614.730713959
  71. volume_ema2 : 92364.561086839
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115043
  77. 5m_price_ema100_diff:
    0.00285307
  78. 5m_price:
    115371
  79. 5m_correlation_with_coin:
    0.408503
  80. btc_indicators
  81. 15m_ema100:
    115265
  82. 15m_price_ema100_diff:
    0.000916637
  83. 15m_price:
    115371
  84. 15m_correlation_with_coin:
    -0.082433
  85. btc_indicators
  86. 1H_ema100:
    115298
  87. 1H_price_ema100_diff:
    0.00063243
  88. 1H_price:
    115371
  89. 1H_correlation_with_coin:
    0.074888
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
18:15:48
15 Sep 2025
18:20:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3854 0.388 0.3802 2 0.06089
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 0.3854
  • Stop Loss: 0.388
  • Take Profit: 0.3802

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.388 - 0.3854 = 0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3854 - 0.3802 = 0.0052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0052 / 0.0026 = 2

📌 Position Size

Amount Margin Quantity Leverage
1192.1185 100 3093.1979 11.92
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 0.0026

Taille de position = 8 / 0.0026 = 3076.92

Taille de position USD = 3076.92 x 0.3854 = 1185.84

Donc, tu peux acheter 3076.92 avec un stoploss a 0.388

Avec un position size USD de 1185.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3076.92 x 0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3076.92 x 0.0052 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3076.92
  • Taille de position USD 1185.84
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.35 % 16.08 $
SL % Target SL $ Target
0.67 % 8.04 $
PNL PNL %
-8.04 $ -0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9341 % 138.47 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3802
            [entry_price] => 0.3854
            [stop_loss] => 0.38826
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 18:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3802
            [entry_price] => 0.3854
            [stop_loss] => 0.38852
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 18:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3802
            [entry_price] => 0.3854
            [stop_loss] => 0.38878
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3802
            [entry_price] => 0.3854
            [stop_loss] => 0.3893
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0139
            [rr_ratio] => 0.21
            [high] => 0.39930000
            [low] => 0.38250000
            [mfe_pct] => 0.75
            [mae_pct] => 3.61
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T18:15:48-04:00
            [end_at] => 2025-09-15T20:15:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0038
            [max_drawdown] => 0.0149
            [rr_ratio] => 0.26
            [high] => 0.40030000
            [low] => 0.38160000
            [mfe_pct] => 0.99
            [mae_pct] => 3.87
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T18:15:48-04:00
            [end_at] => 2025-09-16T01:15:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.38720000
            [high_after] => 0.40030000
            [low_before] => 0.37050000
            [low_after] => 0.38160000
            [is_new_high] => 
            [is_new_low] => 
        )

)