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Short Trade on FUN

Short Trade on FUN

The 30 Oct 2025 at 22:36:43

With 377941.1861 FUN at 0.003142$ per unit.

Position size of 1187.4912 $

Take profit at 0.0031 (1.34 %) and Stop Loss at 0.003163 (0.67 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.76
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.273848

15m : 0.019206

1H : 0.051746

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 1.411154309E-5
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 0.00311518
  4. ema21 - 0.00317098
  5. ema50 - 0.00324743
  6. ema100 - 0.00333487
  7. price_ema9_diff - 0.00860648
  8. ema9_ema21_diff - -0.0175968
  9. ema21_ema50_diff - -0.0235416
  10. price_ema100_diff - -0.0578363
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.485392
  14. ema_slope_21 - -0.362377
  15. ema_slope_50 - -0.216158
  16. ema_slope_100 - -0.150494
  17. rsi - 0.452481
  18. adx - 0.224707
  19. kc_percentage - 0.423694
  20. kc_width_percentage - 0.104916
  21. volume_ema_diff - -0.691404
  22. volume_ema1 - 56650.236289052
  23. volume_ema2 - 183574.28066693
  24. chop - 56.3482
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00310265
  28. ema21 - 0.00309553
  29. ema50 - 0.00312863
  30. ema100 - 0.00318644
  31. price_ema9_diff - 0.0126796
  32. ema9_ema21_diff - 0.00230064
  33. ema21_ema50_diff - -0.0105797
  34. price_ema100_diff - -0.013948
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0217232
  38. ema_slope_21 - 0.0107364
  39. ema_slope_50 - -0.0542649
  40. ema_slope_100 - -0.0645599
  41. rsi - 0.608045
  42. adx - 0.151851
  43. kc_percentage - 0.92007
  44. kc_width_percentage - 0.0353241
  45. volume_ema_diff - -0.802229
  46. volume_ema1 - 6043.6992848753
  47. volume_ema2 - 30559.139844012
  48. chop - 63.1516
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.00311498
  52. ema21 - 0.00310173
  53. ema50 - 0.00309144
  54. ema100 - 0.00308404
  55. price_ema9_diff - 0.00867347
  56. ema9_ema21_diff - 0.00426969
  57. ema21_ema50_diff - 0.00332973
  58. price_ema100_diff - 0.0187924
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0736697
  62. ema_slope_21 - 0.0336324
  63. ema_slope_50 - 0.0195737
  64. ema_slope_100 - 0.0129122
  65. rsi - 0.680539
  66. adx - 0.238584
  67. kc_percentage - 1.1914
  68. kc_width_percentage - 0.018265
  69. volume_ema_diff - -0.115411
  70. volume_ema1 - 4363.7281975965
  71. volume_ema2 - 4933.0621058974
  72. chop - 30.1091
  73. regime - bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 108286
  77. 5m_price_ema100_diff: 0.00788672
  78. 5m_price: 109140
  79. 5m_correlation_with_coin: 0.273848
  80. btc_indicators
  81. 15m_ema100: 108756
  82. 15m_price_ema100_diff: 0.00440418
  83. 15m_price: 109235
  84. 15m_correlation_with_coin: 0.019206
  85. btc_indicators
  86. 1H_ema100: 111615
  87. 1H_price_ema100_diff: -0.0221731
  88. 1H_price: 109140
  89. 1H_correlation_with_coin: 0.051746
    90. ¸

📌 Time Data

Start at Closed at Duration
30 Oct 2025
22:36:43		 31 Oct 2025
00:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.003142 0.003163 0.0031 2 0.001902
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 0.003142
  • Stop Loss: 0.003163
  • Take Profit: 0.0031

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.003163 - 0.003142 = 2.1E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.003142 - 0.0031 = 4.2E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.2E-5 / 2.1E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1187.4912 100 377941.1861 11.87
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 2.1E-5

Taille de position = 8 / 2.1E-5 = 380952.38

Taille de position USD = 380952.38 x 0.003142 = 1196.95

Donc, tu peux acheter 380952.38 avec un stoploss a 0.003163

Avec un position size USD de 1196.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 380952.38 x 2.1E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 380952.38 x 4.2E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 380952.38
  • Taille de position USD 1196.95
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.34 % 15.87 $
SL % Target SL $ Target
0.67 % 7.94 $
PNL PNL %
-7.94 $ -0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3367 % 199.99 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0031
            [entry_price] => 0.003142
            [stop_loss] => 0.0031651
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 00:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0031
            [entry_price] => 0.003142
            [stop_loss] => 0.0031672
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-31 00:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0031
            [entry_price] => 0.003142
            [stop_loss] => 0.0031693
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-31 00:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0031
            [entry_price] => 0.003142
            [stop_loss] => 0.0031735
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-31 00:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.8E-5
            [max_drawdown] => 4.2E-5
            [rr_ratio] => 0.9
            [high] => 0.00318400
            [low] => 0.00310400
            [mfe_pct] => 1.21
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T22:36:43-04:00
            [end_at] => 2025-10-31T00:36:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.6E-5
            [max_drawdown] => 4.4E-5
            [rr_ratio] => 1.73
            [high] => 0.00318600
            [low] => 0.00306600
            [mfe_pct] => 2.42
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T22:36:43-04:00
            [end_at] => 2025-10-31T05:36:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00315100
            [high_after] => 0.00318600
            [low_before] => 0.00306000
            [low_after] => 0.00306600
            [is_new_high] => 
            [is_new_low] => 
        )

)