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Trade

buy - ZRO

Status
win
2025-07-10 06:17:03
12 minutes
PNL
0.42
Entry: 1.927
Last: 1.93500000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.913
Prediction 1 Accuracy
Weak Trade
0.69
Prediction 2 Accuracy
1 0.48
ML Trade Score: 80

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.003579813189
Details
  1. score: 2.21
  2. 1H
  3. ema9 - 1.92692
  4. ema21 - 1.90118
  5. ema50 - 1.86118
  6. ema100 - 1.83239
  7. price_ema9_diff - 3.88532E-5
  8. ema9_ema21_diff - 0.0135401
  9. ema21_ema50_diff - 0.0214907
  10. price_ema100_diff - 0.0516304
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.607599
  14. kc_percentage - 0.758006
  15. kc_width_percentage - 0.0478983
  16. volume_ema_diff - -0.353564
  17. volume_ema1 - 142208.49905616
  18. volume_ema2 - 219988.60834044
    19. ¸
  19. 15m
  20. ema9 - 1.93522
  21. ema21 - 1.93435
  22. ema50 - 1.91858
  23. ema100 - 1.89383
  24. price_ema9_diff - -0.00424891
  25. ema9_ema21_diff - 0.000448388
  26. ema21_ema50_diff - 0.00821763
  27. price_ema100_diff - 0.0175144
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.469098
  31. kc_percentage - 0.275791
  32. kc_width_percentage - 0.017845
  33. volume_ema_diff - -0.874612
  34. volume_ema1 - 8806.8756798015
  35. volume_ema2 - 70237.291111708
    36. ¸
  36. 5m
  37. ema9 - 1.9322
  38. ema21 - 1.93667
  39. ema50 - 1.93683
  40. ema100 - 1.92992
  41. price_ema9_diff - -0.00269604
  42. ema9_ema21_diff - -0.00230761
  43. ema21_ema50_diff - -8.12035E-5
  44. price_ema100_diff - -0.00151598
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.330479
  48. kc_percentage - -0.213287
  49. kc_width_percentage - 0.00689801
  50. volume_ema_diff - -0.861659
  51. volume_ema1 - 1769.9812887002
  52. volume_ema2 - 12794.400528493
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 111135
  56. 5m_price_ema100_diff: -0.00147319
  57. 5m_price: 110972
  58. 5m_correlation_with_coin: 0.283194
  59. btc_indicators
  60. 15m_ema100: 110463
  61. 15m_price_ema100_diff: 0.00460635
  62. 15m_price: 110972
  63. btc_indicators
  64. 1H_ema100: 109235
  65. 1H_price_ema100_diff: 0.0159026
  66. 1H_price: 110972
    67. ¸

Long Trade on ZRO

The 10 Jul 2025 at 06:17:03

With 1490 ZRO at 1.927$ per unit.

Position size of 2871 $

Take profit at 1.935 (0.42 %) and Stop Loss at 1.922 (0.26 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 13.96 %

Symbol Start at Seach Score Trade Score Trades Count
TRX 2025-06-19 06:03:15 0.9427 -8.33 6
LPT 2025-07-10 06:15:22 0.9464 30 1
ONDO 2025-07-10 06:16:00 0.9439 30 1
RENDER 2025-07-10 06:17:57 0.943 -100 1
NEAR 2025-07-10 06:10:53 0.9419 60 1
JASMY 2025-07-10 06:13:09 0.9377 40 1
BGB 2025-07-10 06:22:53 0.9355 30 1
LISTA 2025-06-23 21:13:26 0.9354 30 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
06:17:03		 10 Jul 2025
06:30:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.927 1.922 1.935 1.6 1.986
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 1.927
  • Stop Loss: 1.922
  • Take Profit: 1.935

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.922 - 1.927 = -0.0050000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.927 - 1.935 = -0.008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.008 / -0.0050000000000001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2871 100 1490 28.71
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 -0.0050000000000001

Taille de position = 8 / -0.0050000000000001 = -1600

Taille de position USD = -1600 x 1.927 = -3083.2

Donc, tu peux acheter -1600 avec un stoploss a 1.922

Avec un position size USD de -3083.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.0050000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -1600
  • Taille de position USD -3083.2
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.42 % 12 $
SL % Target SL $ Target
0.26 % 7.4 $
PNL PNL %
12 $ 0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.937
            [stop_loss] => 1.922
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 06:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.9395
            [stop_loss] => 1.922
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 06:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.942
            [stop_loss] => 1.922
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 06:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.9445
            [stop_loss] => 1.922
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 06:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.947
            [stop_loss] => 1.922
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 06:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.9495
            [stop_loss] => 1.922
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.952
            [stop_loss] => 1.922
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.9545
            [stop_loss] => 1.922
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.957
            [stop_loss] => 1.922
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.9595
            [stop_loss] => 1.922
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.962
            [stop_loss] => 1.922
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 08:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)