Trade

sell - FWOG

Status
win
2025-07-25 06:04:36
20 minutes
PNL
1.81
Entry: 0.04874
Last: 0.04786000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.57
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0003919725088
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.0480401
  4. ema21 - 0.048782
  5. ema50 - 0.050475
  6. ema100 - 0.0518703
  7. price_ema9_diff - 0.0145689
  8. ema9_ema21_diff - -0.0152092
  9. ema21_ema50_diff - -0.0335418
  10. price_ema100_diff - -0.0603487
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.475906
  14. kc_percentage - 0.505152
  15. kc_width_percentage - 0.107729
  16. volume_ema_diff - -0.218199
  17. volume_ema1 - 192357.07803273
  18. volume_ema2 - 246043.77929465
  19. ¸
  20. 15m
  21. ema9 - 0.0478173
  22. ema21 - 0.0476317
  23. ema50 - 0.0480818
  24. ema100 - 0.0487037
  25. price_ema9_diff - 0.0192942
  26. ema9_ema21_diff - 0.00389716
  27. ema21_ema50_diff - -0.00936133
  28. price_ema100_diff - 0.000743924
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.608246
  32. kc_percentage - 0.89692
  33. kc_width_percentage - 0.0574721
  34. volume_ema_diff - -0.0647137
  35. volume_ema1 - 58292.935029709
  36. volume_ema2 - 62326.302397824
  37. ¸
  38. 5m
  39. ema9 - 0.0480251
  40. ema21 - 0.0476808
  41. ema50 - 0.047486
  42. ema100 - 0.0475596
  43. price_ema9_diff - 0.0148847
  44. ema9_ema21_diff - 0.00722204
  45. ema21_ema50_diff - 0.00410073
  46. price_ema100_diff - 0.0248177
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.698194
  50. kc_percentage - 1.15537
  51. kc_width_percentage - 0.0325909
  52. volume_ema_diff - 0.286868
  53. volume_ema1 - 29474.576449977
  54. volume_ema2 - 22904.112557774
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 115805
  59. 5m_price_ema100_diff: 0.00338742
  60. 5m_price: 116197
  61. 5m_correlation_with_coin: 0.714667
  62. btc_indicators
  63. 15m_ema100: 117104
  64. 15m_price_ema100_diff: -0.00774133
  65. 15m_price: 116197
  66. btc_indicators
  67. 1H_ema100: 118091
  68. 1H_price_ema100_diff: -0.0160379
  69. 1H_price: 116197
  70. ¸

Short Trade on FWOG

The 25 Jul 2025 at 06:04:36

With 13606.3964 FWOG at 0.04874$ per unit.

Position size of 663.1758 $

Take profit at 0.04786 (1.81 %) and Stop Loss at 0.04933 (1.21 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -57 %

Symbol Start at Seach Score Trade Score Trades Count
MOCA 2025-07-25 06:03:05 0.9696 30 1
WCT 2025-05-31 16:52:10 0.9682 -100 5
LPT 2025-06-20 22:32:57 0.9669 -100 4
AI16Z 2025-03-26 21:10:02 0.9647 -35 2
SWARMS 2025-03-26 22:00:22 0.9646 -80 2

📌 Time Data

Start at Closed at Duration
25 Jul 2025
06:04:36
25 Jul 2025
06:25:00
20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04874 0.04933 0.04786 1.49 0.04859
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 0.04874
  • Stop Loss: 0.04933
  • Take Profit: 0.04786

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04933 - 0.04874 = 0.00059

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04874 - 0.04786 = 0.00088

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00088 / 0.00059 = 1.4915

📌 Position Size

Amount Margin Quantity Leverage
663.1758 100 13606.3964 6.63
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 0.00059

Taille de position = 8 / 0.00059 = 13559.32

Taille de position USD = 13559.32 x 0.04874 = 660.88

Donc, tu peux acheter 13559.32 avec un stoploss a 0.04933

Avec un position size USD de 660.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13559.32 x 0.00059 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13559.32 x 0.00088 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position 13559.32
  • Taille de position USD 660.88
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4915

📌 Peformances

TP % Target TP $ Target
1.81 % 11.97 $
SL % Target SL $ Target
1.21 % 8.03 $
PNL PNL %
11.97 $ 1.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04756
            [stop_loss] => 0.04933
            [rr_ratio] => 2
            [closed_at] => 2025-07-25 10:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.047265
            [stop_loss] => 0.04933
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-25 10:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04697
            [stop_loss] => 0.04933
            [rr_ratio] => 3
            [closed_at] => 2025-07-25 10:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.046675
            [stop_loss] => 0.04933
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-25 10:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04638
            [stop_loss] => 0.04933
            [rr_ratio] => 4
            [closed_at] => 2025-07-25 10:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.046085
            [stop_loss] => 0.04933
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-25 11:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04579
            [stop_loss] => 0.04933
            [rr_ratio] => 5
            [closed_at] => 2025-07-25 11:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.045495
            [stop_loss] => 0.04933
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-25 11:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0452
            [stop_loss] => 0.04933
            [rr_ratio] => 6
            [closed_at] => 2025-07-25 11:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00096
            [max_drawdown] => 0.00014
            [rr_ratio] => 6.86
            [high] => 0.04888000
            [low] => 0.04778000
            [mfe_pct] => 1.97
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 6.86
            [candles_analyzed] => 24
            [start_at] => 2025-07-25T06:04:36-04:00
            [end_at] => 2025-07-25T08:04:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00364
            [max_drawdown] => 0.00014
            [rr_ratio] => 26
            [high] => 0.04888000
            [low] => 0.04510000
            [mfe_pct] => 7.47
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 26
            [candles_analyzed] => 72
            [start_at] => 2025-07-25T06:04:36-04:00
            [end_at] => 2025-07-25T12:04:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04885000
            [high_after] => 0.04888000
            [low_before] => 0.04621000
            [low_after] => 0.04510000
            [is_new_high] => 
            [is_new_low] => 1
        )

)