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Trade

sell - ZRO

Status
win
2025-06-04 12:01:52
13 minutes
PNL
1.05
Entry: 2.296
Last: 2.27200000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.78
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
0 0.48
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01064169173
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 2.2929
  4. ema21 - 2.31357
  5. ema50 - 2.32011
  6. ema100 - 2.30716
  7. price_ema9_diff - 0.0013491
  8. ema9_ema21_diff - -0.00893151
  9. ema21_ema50_diff - -0.00282067
  10. price_ema100_diff - -0.00484018
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.43937
  14. kc_percentage - 0.377003
  15. kc_width_percentage - 0.0584775
  16. volume_ema_diff - 1.69267
    17. ¸
  17. 15m
  18. ema9 - 2.27362
  19. ema21 - 2.27977
  20. ema50 - 2.30059
  21. ema100 - 2.32108
  22. price_ema9_diff - 0.00984116
  23. ema9_ema21_diff - -0.00269826
  24. ema21_ema50_diff - -0.00904951
  25. price_ema100_diff - -0.0108053
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.544696
  29. kc_percentage - 0.721921
  30. kc_width_percentage - 0.0335061
  31. volume_ema_diff - -0.0736765
    32. ¸
  32. 5m
  33. ema9 - 2.28318
  34. ema21 - 2.27323
  35. ema50 - 2.27522
  36. ema100 - 2.28848
  37. price_ema9_diff - 0.00561108
  38. ema9_ema21_diff - 0.0043789
  39. ema21_ema50_diff - -0.000874098
  40. price_ema100_diff - 0.00328259
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.671414
  44. kc_percentage - 1.03001
  45. kc_width_percentage - 0.01837
  46. volume_ema_diff - -0.816025
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105154
  50. 5m_price_ema100_diff: 0.00128152
  51. 5m_price: 105289
  52. 5m_correlation_with_coin: 0.598988
  53. btc_indicators
  54. 15m_ema100: 105520
  55. 15m_price_ema100_diff: -0.00218955
  56. 15m_price: 105289
  57. btc_indicators
  58. 1H_ema100: 105022
  59. 1H_price_ema100_diff: 0.00254416
  60. 1H_price: 105289
    61. ¸

Short Trade on ZRO

The 04 Jun 2025 at 12:01:52

With 501.2 ZRO at 2.296$ per unit.

Position size of 1151 $

Take profit at 2.272 (1 %) and Stop Loss at 2.312 (0.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -24.5 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-07-04 05:28:51 0.9366 40 1
PENDLE 2025-06-12 23:48:48 0.9225 -35 2
EIGEN 2025-06-19 14:05:21 0.9246 30 1
CRV 2025-06-12 23:22:28 0.9244 -100 1
DOT 2025-03-27 11:09:38 0.9212 60 2
KAITO 2025-06-21 13:16:06 0.9173 -100 2
PI 2025-07-01 02:26:45 0.9171 30 1
ATH 2025-05-30 22:31:00 0.917 -100 1
BRETT 2025-06-04 11:56:12 0.9165 30 1
BNB 2025-06-17 15:01:30 0.9156 -100 1

📌 Time Data

Start at Closed at Duration
04 Jun 2025
12:01:52		 04 Jun 2025
12:15:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.296 2.312 2.272 1.5 2.21
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 2.296
  • Stop Loss: 2.312
  • Take Profit: 2.272

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.312 - 2.296 = 0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.296 - 2.272 = 0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.024 / 0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1151 100 501.2 11.51
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 0.016

Taille de position = 8 / 0.016 = 500

Taille de position USD = 500 x 2.296 = 1148

Donc, tu peux acheter 500 avec un stoploss a 2.312

Avec un position size USD de 1148$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 500 x 0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 500 x 0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 500
  • Taille de position USD 1148
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.7 % 8 $
PNL PNL %
12 $ 1.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.264
            [stop_loss] => 2.312
            [rr_ratio] => 2
            [closed_at] => 2025-06-04 13:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.256
            [stop_loss] => 2.312
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-04 13:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.248
            [stop_loss] => 2.312
            [rr_ratio] => 3
            [closed_at] => 2025-06-04 13:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.24
            [stop_loss] => 2.312
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-04 13:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.232
            [stop_loss] => 2.312
            [rr_ratio] => 4
            [closed_at] => 2025-06-04 15:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.224
            [stop_loss] => 2.312
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-04 15:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.216
            [stop_loss] => 2.312
            [rr_ratio] => 5
            [closed_at] => 2025-06-04 15:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.208
            [stop_loss] => 2.312
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-04 16:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.2
            [stop_loss] => 2.312
            [rr_ratio] => 6
            [closed_at] => 2025-06-04 16:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.192
            [stop_loss] => 2.312
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-04 16:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.184
            [stop_loss] => 2.312
            [rr_ratio] => 7
            [closed_at] => 2025-06-04 17:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)