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Trade

sell - ZRO

Status
win
2025-06-20 20:29:33
27 seconds
PNL
0.81
Entry: 1.733
Last: 1.71900000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4125
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.43
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.006160997939
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 1.72825
  4. ema21 - 1.75153
  5. ema50 - 1.78942
  6. ema100 - 1.83499
  7. price_ema9_diff - 0.00274739
  8. ema9_ema21_diff - -0.0132956
  9. ema21_ema50_diff - -0.021171
  10. price_ema100_diff - -0.0555847
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.433696
  14. kc_percentage - 0.356456
  15. kc_width_percentage - 0.0675781
  16. volume_ema_diff - -0.446266
  17. volume_ema1 - 186719.70439024
  18. volume_ema2 - 337201.3608423
    19. ¸
  19. 15m
  20. ema9 - 1.71509
  21. ema21 - 1.71779
  22. ema50 - 1.73517
  23. ema100 - 1.7585
  24. price_ema9_diff - 0.010439
  25. ema9_ema21_diff - -0.00157203
  26. ema21_ema50_diff - -0.0100136
  27. price_ema100_diff - -0.0145053
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.505813
  31. kc_percentage - 0.840023
  32. kc_width_percentage - 0.0265568
  33. volume_ema_diff - -0.744704
  34. volume_ema1 - 23444.401824775
  35. volume_ema2 - 91832.573098781
    36. ¸
  36. 5m
  37. ema9 - 1.72194
  38. ema21 - 1.71711
  39. ema50 - 1.71622
  40. ema100 - 1.71899
  41. price_ema9_diff - 0.0064174
  42. ema9_ema21_diff - 0.0028138
  43. ema21_ema50_diff - 0.000517566
  44. price_ema100_diff - 0.00814767
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.648814
  48. kc_percentage - 1.13434
  49. kc_width_percentage - 0.0142659
  50. volume_ema_diff - -0.70064
  51. volume_ema1 - 4765.2472207716
  52. volume_ema2 - 15918.158560903
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 103375
  56. 5m_price_ema100_diff: -0.000910823
  57. 5m_price: 103281
  58. 5m_correlation_with_coin: 0.753194
  59. btc_indicators
  60. 15m_ema100: 104195
  61. 15m_price_ema100_diff: -0.00971262
  62. 15m_price: 103183
  63. btc_indicators
  64. 1H_ema100: 105112
  65. 1H_price_ema100_diff: -0.0174211
  66. 1H_price: 103281
    67. ¸

Short Trade on ZRO

The 20 Jun 2025 at 20:29:33

With 865.7 ZRO at 1.733$ per unit.

Position size of 1500 $

Take profit at 1.719 (0.81 %) and Stop Loss at 1.742 (0.52 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -75.45 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-20 20:26:37 0.9904 -100 1
1000BONK 2025-06-20 20:27:02 0.9888 40 1
GALA 2025-06-20 20:25:10 0.9875 -100 1
AVAX 2025-06-20 20:24:53 0.9826 -100 1
TIA 2025-06-20 20:27:50 0.9825 -100 1
FIL 2025-06-20 20:39:37 0.9789 -100 2
ADA 2025-06-20 20:24:19 0.9773 -100 3
RENDER 2025-06-20 20:30:13 0.9753 -100 1
IO 2025-06-20 20:28:58 0.9724 30 1
BRETT 2025-06-20 20:29:14 0.9716 -100 1
TAIKO 2025-06-20 20:36:39 0.97 -100 1

📌 Time Data

Start at Closed at Duration
20 Jun 2025
20:29:33		 20 Jun 2025
20:30:00		 27 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.733 1.742 1.719 1.6 1.753
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 1.733
  • Stop Loss: 1.742
  • Take Profit: 1.719

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.742 - 1.733 = 0.0089999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.733 - 1.719 = 0.014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.014 / 0.0089999999999999 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1500 100 865.7 15.00
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 0.0089999999999999

Taille de position = 8 / 0.0089999999999999 = 888.89

Taille de position USD = 888.89 x 1.733 = 1540.45

Donc, tu peux acheter 888.89 avec un stoploss a 1.742

Avec un position size USD de 1540.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 888.89 x 0.0089999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 888.89 x 0.014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 888.89
  • Taille de position USD 1540.45
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.81 % 12 $
SL % Target SL $ Target
0.52 % 7.8 $
PNL PNL %
12 $ 0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.715
            [stop_loss] => 1.742
            [rr_ratio] => 2
            [closed_at] => 2025-06-20 20:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.7105
            [stop_loss] => 1.742
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.706
            [stop_loss] => 1.742
            [rr_ratio] => 3
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.7015
            [stop_loss] => 1.742
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.697
            [stop_loss] => 1.742
            [rr_ratio] => 4
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.6925
            [stop_loss] => 1.742
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.688
            [stop_loss] => 1.742
            [rr_ratio] => 5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.6835
            [stop_loss] => 1.742
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.679
            [stop_loss] => 1.742
            [rr_ratio] => 6
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.6745
            [stop_loss] => 1.742
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.67
            [stop_loss] => 1.742
            [rr_ratio] => 7
            [closed_at] => 2025-06-20 23:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)