Web3Way Logo

Short Trade on FIL

Previous Trade Next Trade

Short Trade on FIL 16 Sep 2025 at 01:48:30

Take profit at 2.3985 (0.56 %) and Stop Loss at 2.4188 (0.28 %)

Short Trade on FIL

The 16 Sep 2025 at 01:48:30

With 1183.6994 FIL at 2.412$ per unit.

Position size of 2855.0829 $

Take profit at 2.3985 (0.56 %) and Stop Loss at 2.4188 (0.28 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.43
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.71436

15m : 0.094107

1H : 0.04106

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.004505648453
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 2.40611
  4. ema21 : 2.42208
  5. ema50 : 2.4665
  6. ema100 : 2.50064
  7. price_ema9_diff : 0.00244783
  8. ema9_ema21_diff : -0.00659468
  9. ema21_ema50_diff : -0.0180089
  10. price_ema100_diff : -0.0354482
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0354587
  14. ema_slope_21 : -0.11592
  15. ema_slope_50 : -0.123096
  16. ema_slope_100 : -0.0841349
  17. rsi : 0.418748
  18. adx : 0.470403
  19. kc_percentage : 0.397162
  20. kc_width_percentage : 0.0336849
  21. volume_ema_diff : -0.455661
  22. volume_ema1 : 370958.70555703
  23. volume_ema2 : 681485.72815475
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.40459
  27. ema21 : 2.40439
  28. ema50 : 2.40994
  29. ema100 : 2.43131
  30. price_ema9_diff : 0.0030814
  31. ema9_ema21_diff : 8.1041E-5
  32. ema21_ema50_diff : -0.00230408
  33. price_ema100_diff : -0.00794327
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.013421
  37. ema_slope_21 : -0.0173789
  38. ema_slope_50 : -0.0186972
  39. ema_slope_100 : -0.028218
  40. rsi : 0.551723
  41. adx : 0.229635
  42. kc_percentage : 0.712043
  43. kc_width_percentage : 0.0150179
  44. volume_ema_diff : -0.492579
  45. volume_ema1 : 59707.864010745
  46. volume_ema2 : 117669.34965746
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 2.40667
  50. ema21 : 2.40279
  51. ema50 : 2.40302
  52. ema100 : 2.40555
  53. price_ema9_diff : 0.00221189
  54. ema9_ema21_diff : 0.00161676
  55. ema21_ema50_diff : -9.73262E-5
  56. price_ema100_diff : 0.00267825
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0480373
  60. ema_slope_21 : 0.0226036
  61. ema_slope_50 : 0.00405631
  62. ema_slope_100 : -0.000911409
  63. rsi : 0.624921
  64. adx : 0.170397
  65. kc_percentage : 1.00557
  66. kc_width_percentage : 0.00743638
  67. volume_ema_diff : -0.258252
  68. volume_ema1 : 22825.604110718
  69. volume_ema2 : 30772.75394173
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115299
  74. 5m_price_ema100_diff: 
    0.00390028
  75. 5m_price: 
    115749
  76. 5m_correlation_with_coin: 
    0.71436
  77. btc_indicators
  78. 15m_ema100: 
    115318
  79. 15m_price_ema100_diff: 
    0.00373959
  80. 15m_price: 
    115749
  81. 15m_correlation_with_coin: 
    0.094107
  82. btc_indicators
  83. 1H_ema100: 
    115410
  84. 1H_price_ema100_diff: 
    0.00293896
  85. 1H_price: 
    115749
  86. 1H_correlation_with_coin: 
    0.04106
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:48:30		 16 Sep 2025
02:00:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.412 2.4188 2.3985 1.99 0.9857
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 2.412
  • Stop Loss: 2.4188
  • Take Profit: 2.3985

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.4188 - 2.412 = 0.0068000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.412 - 2.3985 = 0.0135

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0135 / 0.0068000000000001 = 1.9853

📌 Position Size

Amount Margin Quantity Leverage
2855.0829 100 1183.6994 28.55
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 0.0068000000000001

Taille de position = 8 / 0.0068000000000001 = 1176.47

Taille de position USD = 1176.47 x 2.412 = 2837.65

Donc, tu peux acheter 1176.47 avec un stoploss a 2.4188

Avec un position size USD de 2837.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1176.47 x 0.0068000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1176.47 x 0.0135 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position 1176.47
  • Taille de position USD 2837.65
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9853

📌 Peformances

TP % Target TP $ Target
0.56 % 15.98 $
SL % Target SL $ Target
0.28 % 8.05 $
PNL PNL %
-8.05 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2902 % 102.94 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.3985
            [entry_price] => 2.412
            [stop_loss] => 2.41948
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.3985
            [entry_price] => 2.412
            [stop_loss] => 2.42016
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.3985
            [entry_price] => 2.412
            [stop_loss] => 2.42084
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.3985
            [entry_price] => 2.412
            [stop_loss] => 2.4222
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.0089999999999999
            [rr_ratio] => 1.44
            [high] => 2.42100000
            [low] => 2.39900000
            [mfe_pct] => 0.54
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:48:30-04:00
            [end_at] => 2025-09-16T03:48:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.028
            [rr_ratio] => 0.46
            [high] => 2.44000000
            [low] => 2.39900000
            [mfe_pct] => 0.54
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:48:30-04:00
            [end_at] => 2025-09-16T08:48:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.41600000
            [high_after] => 2.43600000
            [low_before] => 2.37400000
            [low_after] => 2.39900000
            [is_new_high] => 
            [is_new_low] => 
        )

)