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Trade

buy - TON

Status
win
2025-06-29 22:39:44
5 minutes
PNL
0.28
Entry: 2.883
Last: 2.89100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.3
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
1 0.45
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.003659466439
Details
  1. score: 2.13
  2. 1H
  3. ema9 - 2.88912
  4. ema21 - 2.87821
  5. ema50 - 2.86266
  6. ema100 - 2.85131
  7. price_ema9_diff - -0.00208654
  8. ema9_ema21_diff - 0.00379118
  9. ema21_ema50_diff - 0.00543164
  10. price_ema100_diff - 0.0111484
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.547433
  14. kc_percentage - 0.572616
  15. kc_width_percentage - 0.0194905
  16. volume_ema_diff - -0.116274
  17. volume_ema1 - 186881.19284245
  18. volume_ema2 - 211469.79837188
    19. ¸
  19. 15m
  20. ema9 - 2.89245
  21. ema21 - 2.89395
  22. ema50 - 2.88628
  23. ema100 - 2.87521
  24. price_ema9_diff - -0.00323313
  25. ema9_ema21_diff - -0.000519988
  26. ema21_ema50_diff - 0.00265869
  27. price_ema100_diff - 0.00274332
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.428681
  31. kc_percentage - 0.104847
  32. kc_width_percentage - 0.00966595
  33. volume_ema_diff - -0.657932
  34. volume_ema1 - 20257.377212559
  35. volume_ema2 - 59220.367976343
    36. ¸
  36. 5m
  37. ema9 - 2.88704
  38. ema21 - 2.89181
  39. ema50 - 2.89512
  40. ema100 - 2.89161
  41. price_ema9_diff - -0.00136526
  42. ema9_ema21_diff - -0.00164949
  43. ema21_ema50_diff - -0.00114415
  44. price_ema100_diff - -0.00294317
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.288658
  48. kc_percentage - -0.131119
  49. kc_width_percentage - 0.00460787
  50. volume_ema_diff - -0.75238
  51. volume_ema1 - 3911.5694341107
  52. volume_ema2 - 15796.687709947
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108117
  56. 5m_price_ema100_diff: 0.00338508
  57. 5m_price: 108483
  58. 5m_correlation_with_coin: 0.566316
  59. btc_indicators
  60. 15m_ema100: 107809
  61. 15m_price_ema100_diff: 0.00712742
  62. 15m_price: 108578
  63. btc_indicators
  64. 1H_ema100: 107443
  65. 1H_price_ema100_diff: 0.00967203
  66. 1H_price: 108483
    67. ¸

Long Trade on TON

The 29 Jun 2025 at 22:39:44

With 1457 TON at 2.883$ per unit.

Position size of 4202 $

Take profit at 2.891 (0.28 %) and Stop Loss at 2.878 (0.17 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -53.33 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-06-29 22:35:57 0.942 -100 3
PEPE 2025-06-29 22:35:03 0.9423 -100 2
FLOKI 2025-06-29 22:39:05 0.945 -100 1
RARE 2025-04-16 07:31:20 0.9361 50 1
BIO 2025-04-17 08:01:57 0.9355 40 1
AVAX 2025-06-29 22:35:43 0.9332 -100 1
TIA 2025-06-29 22:40:21 0.9329 -100 1
UMA 2025-06-06 15:17:25 0.9328 30 2
NEAR 2025-06-29 22:36:40 0.9324 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
22:39:44		 29 Jun 2025
22:45:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.883 2.878 2.891 1.6 2.776
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 2.883
  • Stop Loss: 2.878
  • Take Profit: 2.891

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.878 - 2.883 = -0.0049999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.883 - 2.891 = -0.008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.008 / -0.0049999999999999 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
4202 100 1457 42.02
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 2.883 = -4612.8

Donc, tu peux acheter -1600 avec un stoploss a 2.878

Avec un position size USD de -4612.8$

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 -0.008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -1600
  • Taille de position USD -4612.8
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.28 % 12 $
SL % Target SL $ Target
0.17 % 7.3 $
PNL PNL %
12 $ 0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.893
            [stop_loss] => 2.878
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.8955
            [stop_loss] => 2.878
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 02:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.898
            [stop_loss] => 2.878
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 02:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.9005
            [stop_loss] => 2.878
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.903
            [stop_loss] => 2.878
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.9055
            [stop_loss] => 2.878
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.908
            [stop_loss] => 2.878
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.9105
            [stop_loss] => 2.878
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.913
            [stop_loss] => 2.878
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.9155
            [stop_loss] => 2.878
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.918
            [stop_loss] => 2.878
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)