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Short Trade on FUN

Short Trade on FUN

The 29 Nov 2025 at 16:42:09

With 400248.082 FUN at 0.002379$ per unit.

Position size of 952.1902 $

Take profit at 0.002339 (1.68 %) and Stop Loss at 0.002399 (0.84 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.171961

15m : -0.002056

1H : -0.003688

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 1.332506906E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.00238475
  4. ema21 - 0.00244922
  5. ema50 - 0.00246747
  6. ema100 - 0.00238758
  7. price_ema9_diff - -0.00241489
  8. ema9_ema21_diff - -0.0263226
  9. ema21_ema50_diff - -0.00739296
  10. price_ema100_diff - -0.00359528
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -0.599899
  14. ema_slope_21 - -0.467123
  15. ema_slope_50 - -0.165844
  16. ema_slope_100 - 0.000356417
  17. rsi - 0.418987
  18. adx - 0.208664
  19. kc_percentage - 0.29085
  20. kc_width_percentage - 0.133485
  21. volume_ema_diff - -0.703137
  22. volume_ema1 - 90555.817324822
  23. volume_ema2 - 305043.16101357
  24. chop - 68.1267
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00235481
  28. ema21 - 0.00236475
  29. ema50 - 0.00241298
  30. ema100 - 0.00248455
  31. price_ema9_diff - 0.0102723
  32. ema9_ema21_diff - -0.00420706
  33. ema21_ema50_diff - -0.0199851
  34. price_ema100_diff - -0.0424833
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.119668
  38. ema_slope_21 - -0.152507
  39. ema_slope_50 - -0.149865
  40. ema_slope_100 - -0.129138
  41. rsi - 0.529521
  42. adx - 0.285624
  43. kc_percentage - 0.637366
  44. kc_width_percentage - 0.0477221
  45. volume_ema_diff - -0.446259
  46. volume_ema1 - 21753.823920367
  47. volume_ema2 - 39285.255497794
  48. chop - 45.1657
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.00236591
  52. ema21 - 0.00235022
  53. ema50 - 0.00235533
  54. ema100 - 0.00237121
  55. price_ema9_diff - 0.00553134
  56. ema9_ema21_diff - 0.00667568
  57. ema21_ema50_diff - -0.00216854
  58. price_ema100_diff - 0.00328123
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - 0.177293
  62. ema_slope_21 - 0.0873893
  63. ema_slope_50 - 0.00510481
  64. ema_slope_100 - -0.0142833
  65. rsi - 0.636287
  66. adx - 0.318506
  67. kc_percentage - 1.03173
  68. kc_width_percentage - 0.0223221
  69. volume_ema_diff - -0.172071
  70. volume_ema1 - 6331.0436285238
  71. volume_ema2 - 7646.8459624427
  72. chop - 27.6186
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90706.3
  77. 5m_price_ema100_diff: 0.00263556
  78. 5m_price: 90945.4
  79. 5m_correlation_with_coin: 0.171961
  80. btc_indicators
  81. 15m_ema100: 90750.5
  82. 15m_price_ema100_diff: 0.00196258
  83. 15m_price: 90928.7
  84. 15m_correlation_with_coin: -0.002056
  85. btc_indicators
  86. 1H_ema100: 90162.6
  87. 1H_price_ema100_diff: 0.00868196
  88. 1H_price: 90945.4
  89. 1H_correlation_with_coin: -0.003688
    90. ¸

📌 Time Data

Start at Closed at Duration
29 Nov 2025
16:42:09		 29 Nov 2025
17:35:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.002379 0.002399 0.002339 2 0.001904
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 0.002379
  • Stop Loss: 0.002399
  • Take Profit: 0.002339

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.002399 - 0.002379 = 2.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.002379 - 0.002339 = 4.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.0E-5 / 2.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
952.1902 100 400248.082 9.52
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 2.0E-5

Taille de position = 8 / 2.0E-5 = 400000

Taille de position USD = 400000 x 0.002379 = 951.6

Donc, tu peux acheter 400000 avec un stoploss a 0.002399

Avec un position size USD de 951.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 400000 x 2.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 400000 x 4.0E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 400000
  • Taille de position USD 951.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.68 % 16.01 $
SL % Target SL $ Target
0.84 % 8 $
PNL PNL %
-8 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0929 % 130 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.002339
            [entry_price] => 0.002379
            [stop_loss] => 0.002401
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-29 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.002339
            [entry_price] => 0.002379
            [stop_loss] => 0.002403
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-29 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.002339
            [entry_price] => 0.002379
            [stop_loss] => 0.002405
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-29 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.002339
            [entry_price] => 0.002379
            [stop_loss] => 0.002409
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-29 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 8.0000000000002E-6
            [max_drawdown] => 2.6E-5
            [rr_ratio] => 0.31
            [high] => 0.00240500
            [low] => 0.00237100
            [mfe_pct] => 0.34
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T16:42:09-05:00
            [end_at] => 2025-11-29T18:42:09-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.7E-5
            [max_drawdown] => 3.5E-5
            [rr_ratio] => 1.34
            [high] => 0.00241400
            [low] => 0.00233200
            [mfe_pct] => 1.98
            [mae_pct] => 1.47
            [mfe_mae_ratio] => 1.34
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T16:42:09-05:00
            [end_at] => 2025-11-29T23:42:09-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00244000
            [high_after] => 0.00241400
            [low_before] => 0.00227800
            [low_after] => 0.00233200
            [is_new_high] => 
            [is_new_low] => 
        )

)