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Trade

buy - TON

Status
win
2025-06-29 22:31:10
3 hours
PNL
0.31
Entry: 2.885
Last: 2.89400000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.125
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.59
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.003720000347
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 2.88954
  4. ema21 - 2.8784
  5. ema50 - 2.86274
  6. ema100 - 2.85135
  7. price_ema9_diff - -0.00150483
  8. ema9_ema21_diff - 0.00387052
  9. ema21_ema50_diff - 0.0054694
  10. price_ema100_diff - 0.0118701
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.558641
  14. kc_percentage - 0.607268
  15. kc_width_percentage - 0.0193238
  16. volume_ema_diff - -0.124109
  17. volume_ema1 - 185034.03099233
  18. volume_ema2 - 211252.48521304
    19. ¸
  19. 15m
  20. ema9 - 2.89251
  21. ema21 - 2.89398
  22. ema50 - 2.88629
  23. ema100 - 2.87521
  24. price_ema9_diff - -0.0025278
  25. ema9_ema21_diff - -0.000508675
  26. ema21_ema50_diff - 0.00266405
  27. price_ema100_diff - 0.00347162
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.430887
  31. kc_percentage - 0.177324
  32. kc_width_percentage - 0.00960346
  33. volume_ema_diff - -0.661554
  34. volume_ema1 - 20033.950452809
  35. volume_ema2 - 59194.082475196
    36. ¸
  36. 5m
  37. ema9 - 2.88808
  38. ema21 - 2.89271
  39. ema50 - 2.89562
  40. ema100 - 2.89178
  41. price_ema9_diff - -0.000999617
  42. ema9_ema21_diff - -0.00159817
  43. ema21_ema50_diff - -0.00100723
  44. price_ema100_diff - -0.0022783
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.313461
  48. kc_percentage - -0.0334002
  49. kc_width_percentage - 0.00467556
  50. volume_ema_diff - -0.801041
  51. volume_ema1 - 3208.3247558561
  52. volume_ema2 - 16125.597334604
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108091
  56. 5m_price_ema100_diff: 0.0040071
  57. 5m_price: 108525
  58. 5m_correlation_with_coin: 0.561714
  59. btc_indicators
  60. 15m_ema100: 107808
  61. 15m_price_ema100_diff: 0.0066447
  62. 15m_price: 108525
  63. btc_indicators
  64. 1H_ema100: 107444
  65. 1H_price_ema100_diff: 0.0100551
  66. 1H_price: 108525
    67. ¸

Long Trade on TON

The 29 Jun 2025 at 22:31:10

With 1434 TON at 2.885$ per unit.

Position size of 4136 $

Take profit at 2.894 (0.31 %) and Stop Loss at 2.88 (0.17 %)

That's a 1.8 RR Trade

📌 Similar Trades

Similar Trade Score: -26.88 %

Symbol Start at Seach Score Trade Score Trades Count
PEPE 2025-06-29 22:35:03 0.9479 -100 2
DOT 2025-06-29 22:31:21 0.9446 -100 2
UMA 2025-06-06 15:04:53 0.932 30 2
BIO 2025-04-17 07:56:57 0.9339 35 2
RARE 2025-04-16 07:31:20 0.9338 50 1
FLOKI 2025-06-29 22:39:05 0.9329 -100 1
IMX 2025-05-02 01:19:31 0.9303 30 2
GOAT 2025-04-12 08:01:23 0.931 -60 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
22:31:10		 30 Jun 2025
02:15:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.885 2.88 2.894 1.8 2.765
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 2.885
  • Stop Loss: 2.88
  • Take Profit: 2.894

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.88 - 2.885 = -0.0049999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.885 - 2.894 = -0.0090000000000003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0090000000000003 / -0.0049999999999999 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
4136 100 1434 41.36
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 -0.0049999999999999

Taille de position = 8 / -0.0049999999999999 = -1600

Taille de position USD = -1600 x 2.885 = -4616

Donc, tu peux acheter -1600 avec un stoploss a 2.88

Avec un position size USD de -4616$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.0049999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0090000000000003 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position -1600
  • Taille de position USD -4616
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.31 % 13 $
SL % Target SL $ Target
0.17 % 7.2 $
PNL PNL %
13 $ 0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1421 % 82 % 17

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.895
            [stop_loss] => 2.88
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 02:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.8975
            [stop_loss] => 2.88
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 02:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.9
            [stop_loss] => 2.88
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.9025
            [stop_loss] => 2.88
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.905
            [stop_loss] => 2.88
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.9075
            [stop_loss] => 2.88
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.91
            [stop_loss] => 2.88
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.9125
            [stop_loss] => 2.88
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.915
            [stop_loss] => 2.88
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.9175
            [stop_loss] => 2.88
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.92
            [stop_loss] => 2.88
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)