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Short Trade on FARTCOIN

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Short Trade on FARTCOIN 20 Sep 2025 at 10:46:08

Take profit at 0.7672 (0.85 %) and Stop Loss at 0.7771 (0.43 %)

Short Trade on FARTCOIN

The 20 Sep 2025 at 10:46:08

With 2413.4181 FARTCOIN at 0.7738$ per unit.

Position size of 1867.5029 $

Take profit at 0.7672 (0.85 %) and Stop Loss at 0.7771 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.95
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.57
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.382818

15m : 0.166083

1H : 0.000824

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002209867137
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.77599
  4. ema21 : 0.797908
  5. ema50 : 0.834333
  6. ema100 : 0.847998
  7. price_ema9_diff : -0.00282283
  8. ema9_ema21_diff : -0.0274695
  9. ema21_ema50_diff : -0.0436569
  10. price_ema100_diff : -0.087498
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.373217
  14. ema_slope_21 : -0.459978
  15. ema_slope_50 : -0.334488
  16. ema_slope_100 : -0.181661
  17. rsi : 0.290328
  18. adx : 0.641392
  19. kc_percentage : 0.00779445
  20. kc_width_percentage : 0.0582968
  21. volume_ema_diff : -0.366651
  22. volume_ema1 : 2789925.2776186
  23. volume_ema2 : 4405039.5971079
  24. chop : 66.574
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.769571
  28. ema21 : 0.770581
  29. ema50 : 0.78081
  30. ema100 : 0.801052
  31. price_ema9_diff : 0.00549519
  32. ema9_ema21_diff : -0.00131115
  33. ema21_ema50_diff : -0.0131
  34. price_ema100_diff : -0.0340204
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.013444
  38. ema_slope_21 : -0.0447866
  39. ema_slope_50 : -0.0823001
  40. ema_slope_100 : -0.0922245
  41. rsi : 0.52233
  42. adx : 0.435981
  43. kc_percentage : 0.703718
  44. kc_width_percentage : 0.0218447
  45. volume_ema_diff : -0.390264
  46. volume_ema1 : 532105.94846176
  47. volume_ema2 : 872683.39411244
  48. chop : 62.1441
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.770904
  52. ema21 : 0.769188
  53. ema50 : 0.769473
  54. ema100 : 0.77362
  55. price_ema9_diff : 0.0037561
  56. ema9_ema21_diff : 0.00223141
  57. ema21_ema50_diff : -0.000371342
  58. price_ema100_diff : 0.000231865
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0255699
  62. ema_slope_21 : 0.019969
  63. ema_slope_50 : 0.000901083
  64. ema_slope_100 : -0.0121417
  65. rsi : 0.651715
  66. adx : 0.201937
  67. kc_percentage : 1.00745
  68. kc_width_percentage : 0.0115368
  69. volume_ema_diff : -0.327051
  70. volume_ema1 : 165704.49083425
  71. volume_ema2 : 246236.6052002
  72. chop : 38.4417
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115772
  77. 5m_price_ema100_diff: 
    0.00106157
  78. 5m_price: 
    115895
  79. 5m_correlation_with_coin: 
    0.382818
  80. btc_indicators
  81. 15m_ema100: 
    115754
  82. 15m_price_ema100_diff: 
    0.00122014
  83. 15m_price: 
    115895
  84. 15m_correlation_with_coin: 
    0.166083
  85. btc_indicators
  86. 1H_ema100: 
    116106
  87. 1H_price_ema100_diff: 
    -0.00181623
  88. 1H_price: 
    115895
  89. 1H_correlation_with_coin: 
    0.000824
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
10:46:08		 20 Sep 2025
10:50:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7738 0.7771 0.7672 2 0.1683
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 0.7738
  • Stop Loss: 0.7771
  • Take Profit: 0.7672

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7771 - 0.7738 = 0.0033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7738 - 0.7672 = 0.0066000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0066000000000001 / 0.0033 = 2

📌 Position Size

Amount Margin Quantity Leverage
1867.5029 100 2413.4181 18.68
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 0.0033

Taille de position = 8 / 0.0033 = 2424.24

Taille de position USD = 2424.24 x 0.7738 = 1875.88

Donc, tu peux acheter 2424.24 avec un stoploss a 0.7771

Avec un position size USD de 1875.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2424.24 x 0.0033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2424.24 x 0.0066000000000001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2424.24
  • Taille de position USD 1875.88
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.85 % 15.93 $
SL % Target SL $ Target
0.43 % 7.96 $
PNL PNL %
-7.96 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7495 % 175.73 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7672
            [entry_price] => 0.7738
            [stop_loss] => 0.77743
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 10:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7672
            [entry_price] => 0.7738
            [stop_loss] => 0.77776
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 10:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7672
            [entry_price] => 0.7738
            [stop_loss] => 0.77809
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 10:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7672
            [entry_price] => 0.7738
            [stop_loss] => 0.77875
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 10:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0035000000000001
            [max_drawdown] => 0.0155
            [rr_ratio] => 0.23
            [high] => 0.78930000
            [low] => 0.77030000
            [mfe_pct] => 0.45
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T10:46:08-04:00
            [end_at] => 2025-09-20T12:46:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0199
            [max_drawdown] => 0.0155
            [rr_ratio] => 1.28
            [high] => 0.78930000
            [low] => 0.75390000
            [mfe_pct] => 2.57
            [mae_pct] => 2
            [mfe_mae_ratio] => 1.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T10:46:08-04:00
            [end_at] => 2025-09-20T17:46:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.77980000
            [high_after] => 0.78930000
            [low_before] => 0.76040000
            [low_after] => 0.75390000
            [is_new_high] => 
            [is_new_low] => 1
        )

)