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Trade

sell - JTO

Status
win
2025-07-04 18:29:16
45 minutes
PNL
0.54
Entry: 2.032
Last: 2.02100000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.005095875757
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 2.02003
  4. ema21 - 2.04285
  5. ema50 - 2.08493
  6. ema100 - 2.13452
  7. price_ema9_diff - 0.00592189
  8. ema9_ema21_diff - -0.0111684
  9. ema21_ema50_diff - -0.0201826
  10. price_ema100_diff - -0.0480317
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.420166
  14. kc_percentage - 0.401227
  15. kc_width_percentage - 0.044128
  16. volume_ema_diff - -0.366444
  17. volume_ema1 - 171384.44401639
  18. volume_ema2 - 270512.16152289
    19. ¸
  19. 15m
  20. ema9 - 2.01961
  21. ema21 - 2.01372
  22. ema50 - 2.02403
  23. ema100 - 2.04802
  24. price_ema9_diff - 0.00613407
  25. ema9_ema21_diff - 0.00292336
  26. ema21_ema50_diff - -0.00509482
  27. price_ema100_diff - -0.00782381
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.641964
  31. kc_percentage - 0.936725
  32. kc_width_percentage - 0.0205218
  33. volume_ema_diff - -0.0394339
  34. volume_ema1 - 54765.828517559
  35. volume_ema2 - 57014.120148548
    36. ¸
  36. 5m
  37. ema9 - 2.0272
  38. ema21 - 2.01981
  39. ema50 - 2.01272
  40. ema100 - 2.01109
  41. price_ema9_diff - 0.00236591
  42. ema9_ema21_diff - 0.00365631
  43. ema21_ema50_diff - 0.00352397
  44. price_ema100_diff - 0.0103958
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.665809
  48. kc_percentage - 1.07585
  49. kc_width_percentage - 0.0100387
  50. volume_ema_diff - 0.118689
  51. volume_ema1 - 18779.018060957
  52. volume_ema2 - 16786.623292304
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107701
  56. 5m_price_ema100_diff: 0.00331097
  57. 5m_price: 108057
  58. 5m_correlation_with_coin: 0.61227
  59. btc_indicators
  60. 15m_ema100: 108440
  61. 15m_price_ema100_diff: -0.00372544
  62. 15m_price: 108036
  63. btc_indicators
  64. 1H_ema100: 108256
  65. 1H_price_ema100_diff: -0.0018335
  66. 1H_price: 108057
    67. ¸

Short Trade on JTO

The 04 Jul 2025 at 18:29:16

With 1047 JTO at 2.032$ per unit.

Position size of 2127 $

Take profit at 2.021 (0.54 %) and Stop Loss at 2.04 (0.39 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -8.33 %

Symbol Start at Seach Score Trade Score Trades Count
ENS 2025-07-04 18:36:29 0.9695 30 2
REZ 2025-05-31 02:59:44 0.9676 -100 2
SOL 2025-07-04 18:47:57 0.9689 35 2
PENDLE 2025-07-04 18:28:31 0.9664 30 1
ETH 2025-07-04 18:34:53 0.963 -25 2
SHIB 2025-07-04 18:35:05 0.9624 -35 2
IO 2025-05-31 03:07:06 0.9625 -100 1
DOGE 2025-07-04 18:42:42 0.9618 60 1
NOT 2025-05-31 03:15:33 0.9616 30 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
18:29:16		 04 Jul 2025
19:15:00		 45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.032 2.04 2.021 1.4 1.972
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 2.032
  • Stop Loss: 2.04
  • Take Profit: 2.021

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.04 - 2.032 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.032 - 2.021 = 0.011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.011 / 0.008 = 1.375

📌 Position Size

Amount Margin Quantity Leverage
2127 100 1047 21.27
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 2.032 = 2032

Donc, tu peux acheter 1000 avec un stoploss a 2.04

Avec un position size USD de 2032$

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 0.011 = 11

Si Take Profit atteint, tu gagneras 11$

Résumé

  • Taille de position 1000
  • Taille de position USD 2032
  • Perte potentielle 8
  • Gain potentiel 11
  • Risk-Reward Ratio 1.375

📌 Peformances

TP % Target TP $ Target
0.54 % 12 $
SL % Target SL $ Target
0.39 % 8.4 $
PNL PNL %
12 $ 0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3051 % 77.5 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.016
            [stop_loss] => 2.04
            [rr_ratio] => 2
            [closed_at] => 2025-07-04 19:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.012
            [stop_loss] => 2.04
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.008
            [stop_loss] => 2.04
            [rr_ratio] => 3
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.004
            [stop_loss] => 2.04
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2
            [stop_loss] => 2.04
            [rr_ratio] => 4
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.996
            [stop_loss] => 2.04
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.992
            [stop_loss] => 2.04
            [rr_ratio] => 5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.988
            [stop_loss] => 2.04
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.984
            [stop_loss] => 2.04
            [rr_ratio] => 6
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.98
            [stop_loss] => 2.04
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.976
            [stop_loss] => 2.04
            [rr_ratio] => 7
            [closed_at] => 2025-07-04 20:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)