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Trade

sell - MELANIA

Status
win
2025-06-13 12:17:27
22 minutes
PNL
0.93
Entry: 0.2583
Last: 0.25590000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.1321
Prediction 1 Accuracy
Strong Trade
0.62
Prediction 2 Accuracy
1 0.59
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.001084315901
Details
  1. score: 1.21
  2. 1H
  3. ema9 - 0.254146
  4. ema21 - 0.258352
  5. ema50 - 0.271676
  6. ema100 - 0.283414
  7. price_ema9_diff - 0.0163418
  8. ema9_ema21_diff - -0.0162772
  9. ema21_ema50_diff - -0.0490442
  10. price_ema100_diff - -0.0886149
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.44526
  14. kc_percentage - 0.525789
  15. kc_width_percentage - 0.0668657
  16. volume_ema_diff - -0.545562
    17. ¸
  17. 15m
  18. ema9 - 0.25549
  19. ema21 - 0.253805
  20. ema50 - 0.2543
  21. ema100 - 0.259555
  22. price_ema9_diff - 0.0109968
  23. ema9_ema21_diff - 0.00663968
  24. ema21_ema50_diff - -0.00194839
  25. price_ema100_diff - -0.00483786
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.655029
  29. kc_percentage - 1.04074
  30. kc_width_percentage - 0.0316225
  31. volume_ema_diff - -0.119365
    32. ¸
  32. 5m
  33. ema9 - 0.256429
  34. ema21 - 0.255098
  35. ema50 - 0.253574
  36. ema100 - 0.252775
  37. price_ema9_diff - 0.00729333
  38. ema9_ema21_diff - 0.00521769
  39. ema21_ema50_diff - 0.00601014
  40. price_ema100_diff - 0.0218572
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.704555
  44. kc_percentage - 1.20621
  45. kc_width_percentage - 0.0170586
  46. volume_ema_diff - 1.11779
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104968
  50. 5m_price_ema100_diff: 0.00873085
  51. 5m_price: 105885
  52. 5m_correlation_with_coin: 0.742991
  53. btc_indicators
  54. 15m_ema100: 105305
  55. 15m_price_ema100_diff: 0.00550079
  56. 15m_price: 105885
  57. btc_indicators
  58. 1H_ema100: 107053
  59. 1H_price_ema100_diff: -0.0109094
  60. 1H_price: 105885
    61. ¸

Short Trade on MELANIA

The 13 Jun 2025 at 12:17:27

With 4919 MELANIA at 0.2583$ per unit.

Position size of 1270 $

Take profit at 0.2559 (0.93 %) and Stop Loss at 0.2599 (0.62 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 9.58 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-13 12:19:20 0.9703 30 1
MOCA 2025-06-13 12:15:49 0.9571 30 1
NEAR 2025-06-13 12:15:22 0.9449 35 2
ENS 2025-06-13 12:11:59 0.9489 40 1
ATOM 2025-06-13 12:10:41 0.9485 -100 1
FIL 2025-06-13 12:10:23 0.9412 -100 1
INJ 2025-06-13 12:13:04 0.9405 30 1
HBAR 2025-06-13 12:12:52 0.935 30 1
SUI 2025-06-13 12:13:24 0.9337 30 1
SEI 2025-06-13 12:13:55 0.9311 30 1
APT 2025-06-13 12:11:44 0.922 30 1
IO 2025-06-13 12:15:09 0.9082 30 1

📌 Time Data

Start at Closed at Duration
13 Jun 2025
12:17:27		 13 Jun 2025
12:40:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2583 0.2599 0.2559 1.5 0.1982
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 0.2583
  • Stop Loss: 0.2599
  • Take Profit: 0.2559

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2599 - 0.2583 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2583 - 0.2559 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1270 100 4919 12.70
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.2583 = 1291.5

Donc, tu peux acheter 5000 avec un stoploss a 0.2599

Avec un position size USD de 1291.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 5000
  • Taille de position USD 1291.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.93 % 12 $
SL % Target SL $ Target
0.62 % 7.9 $
PNL PNL %
12 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2323 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2551
            [stop_loss] => 0.2599
            [rr_ratio] => 2
            [closed_at] => 2025-06-13 12:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2543
            [stop_loss] => 0.2599
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-13 14:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2535
            [stop_loss] => 0.2599
            [rr_ratio] => 3
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.2527
            [stop_loss] => 0.2599
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2519
            [stop_loss] => 0.2599
            [rr_ratio] => 4
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2511
            [stop_loss] => 0.2599
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2503
            [stop_loss] => 0.2599
            [rr_ratio] => 5
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2495
            [stop_loss] => 0.2599
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2487
            [stop_loss] => 0.2599
            [rr_ratio] => 6
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2479
            [stop_loss] => 0.2599
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2471
            [stop_loss] => 0.2599
            [rr_ratio] => 7
            [closed_at] => 2025-06-13 16:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)