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Trade

sell - JTO

Status
win
2025-07-07 15:40:48
4 minutes
PNL
0.70
Entry: 1.856
Last: 1.84300000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.835
Prediction 1 Accuracy
Strong Trade
0.56
Prediction 2 Accuracy
0 0.42
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.00559020613
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 1.86237
  4. ema21 - 1.8891
  5. ema50 - 1.92966
  6. ema100 - 1.97882
  7. price_ema9_diff - -0.00352843
  8. ema9_ema21_diff - -0.0141527
  9. ema21_ema50_diff - -0.0210201
  10. price_ema100_diff - -0.0621728
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.349181
  14. kc_percentage - 0.15798
  15. kc_width_percentage - 0.0496106
  16. volume_ema_diff - 0.003137
  17. volume_ema1 - 484921.3375653
  18. volume_ema2 - 483404.89614823
    19. ¸
  19. 15m
  20. ema9 - 1.84319
  21. ema21 - 1.85027
  22. ema50 - 1.87287
  23. ema100 - 1.89963
  24. price_ema9_diff - 0.00683966
  25. ema9_ema21_diff - -0.00382994
  26. ema21_ema50_diff - -0.0120637
  27. price_ema100_diff - -0.0230739
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.488284
  31. kc_percentage - 0.648915
  32. kc_width_percentage - 0.0229178
  33. volume_ema_diff - -0.334566
  34. volume_ema1 - 86011.842683462
  35. volume_ema2 - 129256.9452567
    36. ¸
  36. 5m
  37. ema9 - 1.84947
  38. ema21 - 1.84303
  39. ema50 - 1.84635
  40. ema100 - 1.85776
  41. price_ema9_diff - 0.00341846
  42. ema9_ema21_diff - 0.00349777
  43. ema21_ema50_diff - -0.00179785
  44. price_ema100_diff - -0.00105522
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.663729
  48. kc_percentage - 1.09997
  49. kc_width_percentage - 0.0112731
  50. volume_ema_diff - -0.29571
  51. volume_ema1 - 31044.839832656
  52. volume_ema2 - 44079.633884943
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108180
  56. 5m_price_ema100_diff: -2.22643E-5
  57. 5m_price: 108178
  58. 5m_correlation_with_coin: 0.55868
  59. btc_indicators
  60. 15m_ema100: 108499
  61. 15m_price_ema100_diff: -0.00336745
  62. 15m_price: 108134
  63. btc_indicators
  64. 1H_ema100: 108549
  65. 1H_price_ema100_diff: -0.00342501
  66. 1H_price: 108178
    67. ¸

Short Trade on JTO

The 07 Jul 2025 at 15:40:48

With 954 JTO at 1.856$ per unit.

Position size of 1771 $

Take profit at 1.843 (0.7 %) and Stop Loss at 1.864 (0.43 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -13.13 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-06-12 23:37:35 0.9664 -100 4
VIRTUAL 2025-06-12 23:41:36 0.9663 -100 2
POPCAT 2025-05-29 17:54:26 0.9656 45 2
DEXE 2025-06-30 11:06:32 0.9622 30 1
TIA 2025-06-12 23:55:15 0.9579 -100 1
FIS 2025-05-01 23:16:12 0.9575 50 1
STRK 2025-06-12 23:55:39 0.9575 30 1
BCH 2025-06-01 07:48:10 0.9573 40 1

📌 Time Data

Start at Closed at Duration
07 Jul 2025
15:40:48		 07 Jul 2025
15:45:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.856 1.864 1.843 1.6 1.922
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 1.856
  • Stop Loss: 1.864
  • Take Profit: 1.843

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.864 - 1.856 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.856 - 1.843 = 0.013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.013 / 0.008 = 1.625

📌 Position Size

Amount Margin Quantity Leverage
1771 100 954 17.71
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 1.856 = 1856

Donc, tu peux acheter 1000 avec un stoploss a 1.864

Avec un position size USD de 1856$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.013 = 13

Si Take Profit atteint, tu gagneras 13$

Résumé

  • Taille de position 1000
  • Taille de position USD 1856
  • Perte potentielle 8
  • Gain potentiel 13
  • Risk-Reward Ratio 1.625

📌 Peformances

TP % Target TP $ Target
0.7 % 12 $
SL % Target SL $ Target
0.43 % 7.6 $
PNL PNL %
12 $ 0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.84
            [stop_loss] => 1.864
            [rr_ratio] => 2
            [closed_at] => 2025-07-07 15:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.836
            [stop_loss] => 1.864
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-07 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.832
            [stop_loss] => 1.864
            [rr_ratio] => 3
            [closed_at] => 2025-07-07 16:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.828
            [stop_loss] => 1.864
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-07 16:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.824
            [stop_loss] => 1.864
            [rr_ratio] => 4
            [closed_at] => 2025-07-07 16:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.82
            [stop_loss] => 1.864
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.816
            [stop_loss] => 1.864
            [rr_ratio] => 5
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.812
            [stop_loss] => 1.864
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.808
            [stop_loss] => 1.864
            [rr_ratio] => 6
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.804
            [stop_loss] => 1.864
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.8
            [stop_loss] => 1.864
            [rr_ratio] => 7
            [closed_at] => 2025-07-07 19:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)