Trade

buy - ZRO

Status
win
2025-07-11 07:56:40
53 minutes
PNL
0.84
Entry: 2.149
Last: 2.16700000

Results

Status:
win
Trade Type:
buy
Prediction Score: 3.08
Prediction 1 Accuracy
Strong Trade
0.55
Prediction 2 Accuracy
2 0.41
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.008178505466
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 2.1499
  4. ema21 - 2.09234
  5. ema50 - 1.99962
  6. ema100 - 1.92806
  7. price_ema9_diff - -0.000421882
  8. ema9_ema21_diff - 0.0275099
  9. ema21_ema50_diff - 0.0463679
  10. price_ema100_diff - 0.114588
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.628185
  14. kc_percentage - 0.768337
  15. kc_width_percentage - 0.0904573
  16. volume_ema_diff - -0.0878477
  17. volume_ema1 - 221791.62145646
  18. volume_ema2 - 243151.98607791
  19. ¸
  20. 15m
  21. ema9 - 2.16354
  22. ema21 - 2.16369
  23. ema50 - 2.13302
  24. ema100 - 2.0797
  25. price_ema9_diff - -0.00672268
  26. ema9_ema21_diff - -6.82494E-5
  27. ema21_ema50_diff - 0.0143783
  28. price_ema100_diff - 0.0333203
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.452358
  32. kc_percentage - 0.30677
  33. kc_width_percentage - 0.0364369
  34. volume_ema_diff - -0.589652
  35. volume_ema1 - 25220.831584147
  36. volume_ema2 - 61462.072838193
  37. ¸
  38. 5m
  39. ema9 - 2.1569
  40. ema21 - 2.1648
  41. ema50 - 2.16785
  42. ema100 - 2.16779
  43. price_ema9_diff - -0.00366694
  44. ema9_ema21_diff - -0.00364725
  45. ema21_ema50_diff - -0.00140738
  46. price_ema100_diff - -0.00867082
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.37938
  50. kc_percentage - -0.0110429
  51. kc_width_percentage - 0.0141054
  52. volume_ema_diff - 0.170462
  53. volume_ema1 - 20453.052754904
  54. volume_ema2 - 17474.338462688
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 117694
  59. 5m_price_ema100_diff: 0.00185867
  60. 5m_price: 117913
  61. 5m_correlation_with_coin: 0.315326
  62. btc_indicators
  63. 15m_ema100: 115557
  64. 15m_price_ema100_diff: 0.0184557
  65. 15m_price: 117689
  66. btc_indicators
  67. 1H_ema100: 111764
  68. 1H_price_ema100_diff: 0.0550208
  69. 1H_price: 117913
  70. ¸

Long Trade on ZRO

The 11 Jul 2025 at 07:56:40

With 652.1 ZRO at 2.149$ per unit.

Position size of 1401 $

Take profit at 2.167 (0.84 %) and Stop Loss at 2.137 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 38 %

Symbol Start at Seach Score Trade Score Trades Count
IMX 2025-07-11 07:52:54 0.9717 40 1
CRV 2025-03-27 07:34:03 0.9606 100 1
MOCA 2025-04-11 08:19:19 0.9597 80 1
1000000MOG 2025-06-10 02:17:19 0.9593 30 1
MOODENG 2025-07-03 00:46:58 0.9586 140 1
TURBO 2025-05-02 15:51:55 0.9584 30 2
IO 2025-05-23 00:30:20 0.9578 -100 1
BNB 2025-06-03 04:17:12 0.9569 -35 2
ARB 2025-07-11 08:29:11 0.956 60 1
PEPE 2025-05-09 00:01:47 0.9559 35 2

📌 Time Data

Start at Closed at Duration
11 Jul 2025
07:56:40
11 Jul 2025
08:50:00
53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.149 2.137 2.167 1.5 2.099
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 2.149
  • Stop Loss: 2.137
  • Take Profit: 2.167

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.137 - 2.149 = -0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.149 - 2.167 = -0.018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.018 / -0.012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1401 100 652.1 14.01
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 -0.012

Taille de position = 8 / -0.012 = -666.67

Taille de position USD = -666.67 x 2.149 = -1432.67

Donc, tu peux acheter -666.67 avec un stoploss a 2.137

Avec un position size USD de -1432.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -666.67 x -0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -666.67 x -0.018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -666.67
  • Taille de position USD -1432.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.84 % 12 $
SL % Target SL $ Target
0.56 % 7.8 $
PNL PNL %
12 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4188 % 75 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.173
            [stop_loss] => 2.137
            [rr_ratio] => 2
            [closed_at] => 2025-07-11 08:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.179
            [stop_loss] => 2.137
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-11 09:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.185
            [stop_loss] => 2.137
            [rr_ratio] => 3
            [closed_at] => 2025-07-11 09:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.191
            [stop_loss] => 2.137
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-11 10:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.197
            [stop_loss] => 2.137
            [rr_ratio] => 4
            [closed_at] => 2025-07-11 10:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.203
            [stop_loss] => 2.137
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-11 10:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.209
            [stop_loss] => 2.137
            [rr_ratio] => 5
            [closed_at] => 2025-07-11 10:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.215
            [stop_loss] => 2.137
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-11 10:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.221
            [stop_loss] => 2.137
            [rr_ratio] => 6
            [closed_at] => 2025-07-11 10:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.227
            [stop_loss] => 2.137
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-11 10:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.233
            [stop_loss] => 2.137
            [rr_ratio] => 7
            [closed_at] => 2025-07-11 10:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)