Trade

buy - ZRO

Status
win
2025-07-03 05:05:23
9 minutes
PNL
0.62
Entry: 1.937
Last: 1.94900000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4333
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.57
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.005546687408
Details
  1. score: 2.16
  2. 1H
  3. ema9 - 1.94148
  4. ema21 - 1.93137
  5. ema50 - 1.91102
  6. ema100 - 1.89072
  7. price_ema9_diff - -0.00230981
  8. ema9_ema21_diff - 0.00523176
  9. ema21_ema50_diff - 0.0106491
  10. price_ema100_diff - 0.0244732
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.532463
  14. kc_percentage - 0.555253
  15. kc_width_percentage - 0.0434909
  16. volume_ema_diff - -0.308034
  17. volume_ema1 - 207094.37330557
  18. volume_ema2 - 299284.18855
  19. ¸
  20. 15m
  21. ema9 - 1.95046
  22. ema21 - 1.94689
  23. ema50 - 1.94112
  24. ema100 - 1.93336
  25. price_ema9_diff - -0.00690511
  26. ema9_ema21_diff - 0.0018331
  27. ema21_ema50_diff - 0.00297484
  28. price_ema100_diff - 0.00187996
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.442232
  32. kc_percentage - 0.260329
  33. kc_width_percentage - 0.021964
  34. volume_ema_diff - 0.526239
  35. volume_ema1 - 85496.247602791
  36. volume_ema2 - 56017.566367071
  37. ¸
  38. 5m
  39. ema9 - 1.94895
  40. ema21 - 1.95263
  41. ema50 - 1.94923
  42. ema100 - 1.94433
  43. price_ema9_diff - -0.00613316
  44. ema9_ema21_diff - -0.00188612
  45. ema21_ema50_diff - 0.00174561
  46. price_ema100_diff - -0.00377468
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.339826
  50. kc_percentage - -0.162703
  51. kc_width_percentage - 0.012154
  52. volume_ema_diff - 0.295937
  53. volume_ema1 - 31339.831322679
  54. volume_ema2 - 24183.138497887
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 109134
  59. 5m_price_ema100_diff: 0.00185646
  60. 5m_price: 109337
  61. 5m_correlation_with_coin: -0.011726
  62. btc_indicators
  63. 15m_ema100: 108744
  64. 15m_price_ema100_diff: 0.0054481
  65. 15m_price: 109337
  66. btc_indicators
  67. 1H_ema100: 107691
  68. 1H_price_ema100_diff: 0.0152865
  69. 1H_price: 109337
  70. ¸

Long Trade on ZRO

The 03 Jul 2025 at 05:05:23

With 961.5 ZRO at 1.937$ per unit.

Position size of 1862 $

Take profit at 1.949 (0.62 %) and Stop Loss at 1.929 (0.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.5 %

Symbol Start at Seach Score Trade Score Trades Count
LTC 2025-04-29 16:15:51 0.6903 -100 2
KAS 2025-06-25 00:13:22 0.6761 -100 2
USUAL 2025-07-03 05:11:41 0.6603 -35 2
TRUMP 2025-06-29 06:33:26 0.6539 30 1
MAJOR 2025-04-20 23:11:54 0.6477 40 1
JASMY 2025-05-12 20:15:22 0.6444 -100 1
ZRO 2025-04-24 13:23:11 0.6434 50 1
INJ 2025-05-02 00:41:02 0.6356 -100 2
CAKE 2025-03-27 00:54:38 0.6398 30 1
BGB 2025-05-21 13:30:01 0.633 30 1

📌 Time Data

Start at Closed at Duration
03 Jul 2025
05:05:23
03 Jul 2025
05:15:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.937 1.929 1.949 1.5 2.174
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 1.937
  • Stop Loss: 1.929
  • Take Profit: 1.949

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.929 - 1.937 = -0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.937 - 1.949 = -0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.012 / -0.008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1862 100 961.5 18.62
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 1.937 = -1937

Donc, tu peux acheter -1000 avec un stoploss a 1.929

Avec un position size USD de -1937$

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 -0.012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1000
  • Taille de position USD -1937
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.62 % 12 $
SL % Target SL $ Target
0.41 % 7.7 $
PNL PNL %
12 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.953
            [stop_loss] => 1.929
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 05:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.957
            [stop_loss] => 1.929
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.961
            [stop_loss] => 1.929
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.965
            [stop_loss] => 1.929
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.969
            [stop_loss] => 1.929
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.973
            [stop_loss] => 1.929
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.977
            [stop_loss] => 1.929
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.981
            [stop_loss] => 1.929
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.985
            [stop_loss] => 1.929
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.989
            [stop_loss] => 1.929
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.993
            [stop_loss] => 1.929
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 06:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)