Trade

buy - FXS

Status
win
2025-08-09 11:37:12
37 minutes
PNL
0.77
Entry: 3.161
Last: 3.18530000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1733
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.66
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01081915866
Details
  1. score: 2
  2. 1H
  3. ema9 - 3.17962
  4. ema21 - 3.13674
  5. ema50 - 3.01123
  6. ema100 - 2.89401
  7. price_ema9_diff - -0.00585901
  8. ema9_ema21_diff - 0.0136732
  9. ema21_ema50_diff - 0.0416804
  10. price_ema100_diff - 0.0922532
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.565466
  14. adx - 0.399841
  15. kc_percentage - 0.586908
  16. kc_width_percentage - 0.0715665
  17. volume_ema_diff - -0.266892
  18. volume_ema1 - 240115.47363578
  19. volume_ema2 - 327530.87867404
  20. ¸
  21. 15m
  22. ema9 - 3.18289
  23. ema21 - 3.18501
  24. ema50 - 3.17124
  25. ema100 - 3.12254
  26. price_ema9_diff - -0.00687794
  27. ema9_ema21_diff - -0.000665758
  28. ema21_ema50_diff - 0.00434217
  29. price_ema100_diff - 0.0123144
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.456069
  33. adx - 0.133387
  34. kc_percentage - 0.215412
  35. kc_width_percentage - 0.0267461
  36. volume_ema_diff - -0.520555
  37. volume_ema1 - 34378.897133766
  38. volume_ema2 - 71705.674163167
  39. ¸
  40. 5m
  41. ema9 - 3.17519
  42. ema21 - 3.18225
  43. ema50 - 3.18421
  44. ema100 - 3.17806
  45. price_ema9_diff - -0.00447189
  46. ema9_ema21_diff - -0.00221833
  47. ema21_ema50_diff - -0.000614722
  48. price_ema100_diff - -0.00536999
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.371777
  52. adx - 0.160637
  53. kc_percentage - -0.000299221
  54. kc_width_percentage - 0.0132356
  55. volume_ema_diff - -0.44274
  56. volume_ema1 - 11302.433022776
  57. volume_ema2 - 20282.187610955
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116980
  62. 5m_price_ema100_diff: -0.00193079
  63. 5m_price: 116754
  64. 5m_correlation_with_coin: 0.362822
  65. btc_indicators
  66. 15m_ema100: 116784
  67. 15m_price_ema100_diff: 9.90206E-5
  68. 15m_price: 116796
  69. btc_indicators
  70. 1H_ema100: 115872
  71. 1H_price_ema100_diff: 0.00761392
  72. 1H_price: 116754
  73. ¸

Long Trade on FXS

The 09 Aug 2025 at 11:37:12

With 492.9527 FXS at 3.161$ per unit.

Position size of 1558.2234 $

Take profit at 3.1853 (0.77 %) and Stop Loss at 3.1448 (0.51 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -0.93 %

Symbol Start at Seach Score Trade Score Trades Count
MYRO 2025-05-18 23:32:16 0.762 -100 1
MOODENG 2025-08-23 06:40:33 0.7565 -35 2
ONDO 2025-06-07 20:56:11 0.6988 46.67 3
NEAR 2025-06-13 23:36:56 0.6634 40 1
AIXBT 2025-06-25 20:19:43 0.6577 30 2
COW 2025-07-03 19:44:23 0.6543 30 1
UNI 2025-06-11 06:00:06 0.6538 30 1
EIGEN 2025-05-18 23:09:10 0.6535 -100 1
CARV 2025-04-02 09:31:55 0.6512 50 1

📌 Time Data

Start at Closed at Duration
09 Aug 2025
11:37:12
09 Aug 2025
12:15:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.161 3.1448 3.1853 1.5 2.834
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 3.161
  • Stop Loss: 3.1448
  • Take Profit: 3.1853

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1448 - 3.161 = -0.0162

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.161 - 3.1853 = -0.0243

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0243 / -0.0162 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1558.2234 100 492.9527 15.58
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 -0.0162

Taille de position = 8 / -0.0162 = -493.83

Taille de position USD = -493.83 x 3.161 = -1561

Donc, tu peux acheter -493.83 avec un stoploss a 3.1448

Avec un position size USD de -1561$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -493.83 x -0.0162 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -493.83 x -0.0243 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -493.83
  • Taille de position USD -1561
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.77 % 11.98 $
SL % Target SL $ Target
0.51 % 7.99 $
PNL PNL %
11.98 $ 0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1582 % 30.87 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.1934
            [stop_loss] => 3.1448
            [rr_ratio] => 2
            [closed_at] => 2025-08-09 12:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.2015
            [stop_loss] => 3.1448
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-09 14:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.2096
            [stop_loss] => 3.1448
            [rr_ratio] => 3
            [closed_at] => 2025-08-09 15:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.2177
            [stop_loss] => 3.1448
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-09 15:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.2258
            [stop_loss] => 3.1448
            [rr_ratio] => 4
            [closed_at] => 2025-08-09 15:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.2339
            [stop_loss] => 3.1448
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-09 15:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.242
            [stop_loss] => 3.1448
            [rr_ratio] => 5
            [closed_at] => 2025-08-09 15:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.2501
            [stop_loss] => 3.1448
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-09 15:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.0049999999999999
            [rr_ratio] => 8
            [high] => 3.20100000
            [low] => 3.15600000
            [mfe_pct] => 1.27
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 8
            [candles_analyzed] => 24
            [start_at] => 2025-08-09T11:37:12-04:00
            [end_at] => 2025-08-09T13:37:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.0049999999999999
            [rr_ratio] => 19
            [high] => 3.25600000
            [low] => 3.15600000
            [mfe_pct] => 3.01
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 19
            [candles_analyzed] => 84
            [start_at] => 2025-08-09T11:37:12-04:00
            [end_at] => 2025-08-09T18:37:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.22500000
            [high_after] => 3.25600000
            [low_before] => 3.14500000
            [low_after] => 3.15600000
            [is_new_high] => 1
            [is_new_low] => 
        )

)