Web3Way Logo

Short Trade on FUN

Short Trade on FUN

The 29 Nov 2025 at 17:23:42

With 507315.7984 FUN at 0.002389$ per unit.

Position size of 1211.9774 $

Take profit at 0.002357 (1.34 %) and Stop Loss at 0.002405 (0.67 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.91
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
1 0.5
Prediction 3 Probability
1 0.56
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 : bull_medium
BTC Correlation Score

5m : 0.131018

15m : -0.088057

1H : 0.125602

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 1.051284693E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.0023856
  4. ema21 - 0.00244375
  5. ema50 - 0.00246468
  6. ema100 - 0.00238977
  7. price_ema9_diff - 0.00142221
  8. ema9_ema21_diff - -0.0237943
  9. ema21_ema50_diff - -0.00849265
  10. price_ema100_diff - -0.000325263
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.510849
  14. ema_slope_21 - -0.438613
  15. ema_slope_50 - -0.1652
  16. ema_slope_100 - -0.00438973
  17. rsi - 0.429618
  18. adx - 0.202854
  19. kc_percentage - 0.324589
  20. kc_width_percentage - 0.12181
  21. volume_ema_diff - -0.781282
  22. volume_ema1 - 64222.189327659
  23. volume_ema2 - 293631.09169741
  24. chop - 70.8171
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00236745
  28. ema21 - 0.00236841
  29. ema50 - 0.00240844
  30. ema100 - 0.0024732
  31. price_ema9_diff - 0.00909981
  32. ema9_ema21_diff - -0.000403451
  33. ema21_ema50_diff - -0.0166237
  34. price_ema100_diff - -0.0340453
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0081167
  38. ema_slope_21 - -0.0889047
  39. ema_slope_50 - -0.120655
  40. ema_slope_100 - -0.111982
  41. rsi - 0.524664
  42. adx - 0.233314
  43. kc_percentage - 0.715671
  44. kc_width_percentage - 0.0415723
  45. volume_ema_diff - -0.739424
  46. volume_ema1 - 9139.0457912198
  47. volume_ema2 - 35072.535733228
  48. chop - 44.1167
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.00238073
  52. ema21 - 0.00236738
  53. ema50 - 0.00236222
  54. ema100 - 0.00237021
  55. price_ema9_diff - 0.00347129
  56. ema9_ema21_diff - 0.00563919
  57. ema21_ema50_diff - 0.00218266
  58. price_ema100_diff - 0.00792737
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.151064
  62. ema_slope_21 - 0.120359
  63. ema_slope_50 - 0.0454133
  64. ema_slope_100 - 0.0122095
  65. rsi - 0.648235
  66. adx - 0.322335
  67. kc_percentage - 1.03822
  68. kc_width_percentage - 0.016161
  69. volume_ema_diff - -0.794061
  70. volume_ema1 - 1244.6097970689
  71. volume_ema2 - 6043.6042815287
  72. chop - 37.3359
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90721.3
  77. 5m_price_ema100_diff: -0.000147654
  78. 5m_price: 90708
  79. 5m_correlation_with_coin: 0.131018
  80. btc_indicators
  81. 15m_ema100: 90761.5
  82. 15m_price_ema100_diff: -0.000247562
  83. 15m_price: 90739.1
  84. 15m_correlation_with_coin: -0.088057
  85. btc_indicators
  86. 1H_ema100: 90125.3
  87. 1H_price_ema100_diff: 0.00646464
  88. 1H_price: 90708
  89. 1H_correlation_with_coin: 0.125602
    90. ¸

📌 Time Data

Start at Closed at Duration
29 Nov 2025
17:23:42		 29 Nov 2025
17:35:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.002389 0.002405 0.002357 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 0.002389
  • Stop Loss: 0.002405
  • Take Profit: 0.002357

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.002405 - 0.002389 = 1.6E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.002389 - 0.002357 = 3.2E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.2E-5 / 1.6E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1211.9774 100 507315.7984 12.12
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 1.6E-5

Taille de position = 8 / 1.6E-5 = 500000

Taille de position USD = 500000 x 0.002389 = 1194.5

Donc, tu peux acheter 500000 avec un stoploss a 0.002405

Avec un position size USD de 1194.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 500000 x 1.6E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 500000 x 3.2E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 500000
  • Taille de position USD 1194.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.34 % 16.23 $
SL % Target SL $ Target
0.67 % 8.12 $
PNL PNL %
-8.12 $ -0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6697 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.002357
            [entry_price] => 0.002389
            [stop_loss] => 0.0024066
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-29 19:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.002357
            [entry_price] => 0.002389
            [stop_loss] => 0.0024082
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-29 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.002357
            [entry_price] => 0.002389
            [stop_loss] => 0.0024098
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-29 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.002357
            [entry_price] => 0.002389
            [stop_loss] => 0.002413
            [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] => 1.7E-5
            [max_drawdown] => 2.5E-5
            [rr_ratio] => 0.68
            [high] => 0.00241400
            [low] => 0.00237200
            [mfe_pct] => 0.71
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T17:23:42-05:00
            [end_at] => 2025-11-29T19:23:42-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.7E-5
            [max_drawdown] => 2.5E-5
            [rr_ratio] => 2.28
            [high] => 0.00241400
            [low] => 0.00233200
            [mfe_pct] => 2.39
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 2.28
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T17:23:42-05:00
            [end_at] => 2025-11-30T00:23:42-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00240400
            [high_after] => 0.00241400
            [low_before] => 0.00227800
            [low_after] => 0.00233200
            [is_new_high] => 
            [is_new_low] => 
        )

)