Trade

buy - FXS

Status
win
2025-07-14 05:30:51
2 hours
PNL
1.93
Entry: 2.385
Last: 2.43100000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.36
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.47
ML Trade Score: 30
ML Pullback Score: 3.66

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.02058461513
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 2.43933
  4. ema21 - 2.3786
  5. ema50 - 2.29937
  6. ema100 - 2.24715
  7. price_ema9_diff - -0.0222735
  8. ema9_ema21_diff - 0.0255303
  9. ema21_ema50_diff - 0.0344571
  10. price_ema100_diff - 0.061343
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.522632
  14. kc_percentage - 0.505321
  15. kc_width_percentage - 0.139199
  16. volume_ema_diff - 1.64161
  17. volume_ema1 - 364879.78161767
  18. volume_ema2 - 138127.64610668
  19. ¸
  20. 15m
  21. ema9 - 2.42384
  22. ema21 - 2.44918
  23. ema50 - 2.41934
  24. ema100 - 2.35636
  25. price_ema9_diff - -0.0160274
  26. ema9_ema21_diff - -0.0103434
  27. ema21_ema50_diff - 0.0123329
  28. price_ema100_diff - 0.0121514
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.388286
  32. kc_percentage - 0.0626828
  33. kc_width_percentage - 0.0610171
  34. volume_ema_diff - 0.554686
  35. volume_ema1 - 121315.50787466
  36. volume_ema2 - 78032.151419657
  37. ¸
  38. 5m
  39. ema9 - 2.40312
  40. ema21 - 2.42872
  41. ema50 - 2.45684
  42. ema100 - 2.46584
  43. price_ema9_diff - -0.00754068
  44. ema9_ema21_diff - -0.0105413
  45. ema21_ema50_diff - -0.0114464
  46. price_ema100_diff - -0.0327847
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.307229
  50. kc_percentage - -0.0157703
  51. kc_width_percentage - 0.0342436
  52. volume_ema_diff - 0.529144
  53. volume_ema1 - 55029.107323091
  54. volume_ema2 - 35986.847209852
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 121446
  59. 5m_price_ema100_diff: 0.00430917
  60. 5m_price: 121970
  61. 5m_correlation_with_coin: 0.241027
  62. btc_indicators
  63. 15m_ema100: 119969
  64. 15m_price_ema100_diff: 0.0166786
  65. 15m_price: 121970
  66. btc_indicators
  67. 1H_ema100: 117286
  68. 1H_price_ema100_diff: 0.0399334
  69. 1H_price: 121970
  70. ¸

Long Trade on FXS

The 14 Jul 2025 at 05:30:51

With 259.0932 FXS at 2.385$ per unit.

Position size of 617.9372 $

Take profit at 2.4313 (1.94 %) and Stop Loss at 2.3541 (1.3 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -27.5 %

Symbol Start at Seach Score Trade Score Trades Count
BGB 2025-06-03 04:12:35 0.9667 -100 2
ALPACA 2025-03-30 10:33:33 0.9629 -100 1
NEO 2025-05-11 02:58:15 0.9582 -100 2
ENA 2025-06-07 16:49:51 0.9592 -100 2
MELANIA 2025-07-16 14:10:24 0.9604 -60 1
FLOKI 2025-07-16 23:57:22 0.9572 85 2
LDO 2025-06-10 01:55:19 0.9561 30 1
TRUMP 2025-07-09 13:50:36 0.9554 140 1
AUCTION 2025-04-06 04:21:09 0.9547 -100 1
T 2025-06-20 04:58:28 0.9545 30 1

📌 Time Data

Start at Closed at Duration
14 Jul 2025
05:30:51
14 Jul 2025
08:00:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.385 2.3541 2.4313 1.5 3.678
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 2.385
  • Stop Loss: 2.3541
  • Take Profit: 2.4313

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3541 - 2.385 = -0.0309

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.385 - 2.4313 = -0.0463

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0463 / -0.0309 = 1.4984

📌 Position Size

Amount Margin Quantity Leverage
617.9372 100 259.0932 6.18
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 -0.0309

Taille de position = 8 / -0.0309 = -258.9

Taille de position USD = -258.9 x 2.385 = -617.48

Donc, tu peux acheter -258.9 avec un stoploss a 2.3541

Avec un position size USD de -617.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -258.9 x -0.0309 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -258.9 x -0.0463 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -258.9
  • Taille de position USD -617.48
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4984

📌 Peformances

TP % Target TP $ Target
1.94 % 12 $
SL % Target SL $ Target
1.3 % 8.01 $
PNL PNL %
11.92 $ 1.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3774 % 29.04 % 4

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 2.447
            [stop_loss] => 2.354
            [rr_ratio] => 2
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
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    [2.5] => Array
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            [take_profit] => 2.4625
            [stop_loss] => 2.354
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 2.478
            [stop_loss] => 2.354
            [rr_ratio] => 3
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            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-14 10:30:00
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        )

    [4] => Array
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            [stop_loss] => 2.354
            [rr_ratio] => 4
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    [4.5] => Array
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            [result] => loss
        )

    [5] => Array
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            [take_profit] => 2.54
            [stop_loss] => 2.354
            [rr_ratio] => 5
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 2.5555
            [stop_loss] => 2.354
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.571
            [stop_loss] => 2.354
            [rr_ratio] => 6
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 2.5865
            [stop_loss] => 2.354
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
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    [7] => Array
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            [stop_loss] => 2.354
            [rr_ratio] => 7
            [closed_at] => 2025-07-14 10:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.035
            [max_drawdown] => 0.0089999999999999
            [rr_ratio] => 3.89
            [high] => 2.42000000
            [low] => 2.37600000
            [mfe_pct] => 1.47
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 3.89
            [candles_analyzed] => 24
            [start_at] => 2025-07-14T05:30:51-04:00
            [end_at] => 2025-07-14T07:30:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.057
            [max_drawdown] => 0.062
            [rr_ratio] => 0.92
            [high] => 2.44200000
            [low] => 2.32300000
            [mfe_pct] => 2.39
            [mae_pct] => 2.6
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 72
            [start_at] => 2025-07-14T05:30:51-04:00
            [end_at] => 2025-07-14T11:30:51-04:00
        )

    [breakout] => Array
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            [high_before] => 2.53100000
            [high_after] => 2.44200000
            [low_before] => 2.36900000
            [low_after] => 2.32300000
            [is_new_high] => 
            [is_new_low] => 
        )

)