Trade

buy - TON

Status
win
2025-06-09 23:47:10
1 hour
PNL
0.42
Entry: 3.297
Last: 3.31100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.626
Prediction 1 Accuracy
Weak Trade
0.58
Prediction 2 Accuracy
1 0.42
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.006120600596
Details
  1. score: 2
  2. 1H
  3. ema9 - 3.30104
  4. ema21 - 3.26925
  5. ema50 - 3.22559
  6. ema100 - 3.18625
  7. price_ema9_diff - -0.00116497
  8. ema9_ema21_diff - 0.00972533
  9. ema21_ema50_diff - 0.0135354
  10. price_ema100_diff - 0.03482
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.63293
  14. kc_percentage - 0.736875
  15. kc_width_percentage - 0.0328173
  16. volume_ema_diff - -0.0924768
  17. ¸
  18. 15m
  19. ema9 - 3.3087
  20. ema21 - 3.30965
  21. ema50 - 3.29144
  22. ema100 - 3.26083
  23. price_ema9_diff - -0.00347632
  24. ema9_ema21_diff - -0.00028758
  25. ema21_ema50_diff - 0.00553094
  26. price_ema100_diff - 0.0111535
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.447206
  30. kc_percentage - 0.238041
  31. kc_width_percentage - 0.0147549
  32. volume_ema_diff - -0.427677
  33. ¸
  34. 5m
  35. ema9 - 3.30265
  36. ema21 - 3.30925
  37. ema50 - 3.31206
  38. ema100 - 3.30885
  39. price_ema9_diff - -0.00165157
  40. ema9_ema21_diff - -0.00199328
  41. ema21_ema50_diff - -0.000849865
  42. price_ema100_diff - -0.00352144
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.359239
  46. kc_percentage - -0.00098061
  47. kc_width_percentage - 0.00709344
  48. volume_ema_diff - -0.200908
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 109500
  53. 5m_price_ema100_diff: -0.000707171
  54. 5m_price: 109422
  55. 5m_correlation_with_coin: 0.391839
  56. btc_indicators
  57. 15m_ema100: 108172
  58. 15m_price_ema100_diff: 0.0115582
  59. 15m_price: 109422
  60. btc_indicators
  61. 1H_ema100: 105860
  62. 1H_price_ema100_diff: 0.0336489
  63. 1H_price: 109422
  64. ¸

Long Trade on TON

The 09 Jun 2025 at 23:47:10

With 871.4 TON at 3.297$ per unit.

Position size of 2873 $

Take profit at 3.311 (0.42 %) and Stop Loss at 3.288 (0.27 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -12.78 %

Symbol Start at Seach Score Trade Score Trades Count
TRX 2025-05-08 23:40:44 0.9574 -65 4
ARC 2025-07-02 23:51:15 0.9492 70 1
BGSC 2025-06-16 01:23:23 0.9484 50 1
SEI 2025-06-27 10:31:15 0.9468 -100 2
KAVA 2025-05-26 01:14:21 0.9464 30 1
ZBCN 2025-06-06 21:46:23 0.9444 -100 1
IO 2025-05-26 06:14:41 0.9441 -100 1
PAXG 2025-05-20 21:37:21 0.9441 30 1
NOT 2025-07-03 00:19:04 0.9439 70 1

📌 Time Data

Start at Closed at Duration
09 Jun 2025
23:47:10
10 Jun 2025
01:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.297 3.288 3.311 1.6 2.849
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 3.297
  • Stop Loss: 3.288
  • Take Profit: 3.311

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.288 - 3.297 = -0.0090000000000003

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.297 - 3.311 = -0.014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.014 / -0.0090000000000003 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
2873 100 871.4 28.73
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 -0.0090000000000003

Taille de position = 8 / -0.0090000000000003 = -888.89

Taille de position USD = -888.89 x 3.297 = -2930.67

Donc, tu peux acheter -888.89 avec un stoploss a 3.288

Avec un position size USD de -2930.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -888.89 x -0.0090000000000003 = 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 -2930.67
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.42 % 12 $
SL % Target SL $ Target
0.27 % 7.8 $
PNL PNL %
12 $ 0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2426 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 3.315
            [stop_loss] => 3.288
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.3195
            [stop_loss] => 3.288
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 3.324
            [stop_loss] => 3.288
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.3285
            [stop_loss] => 3.288
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.333
            [stop_loss] => 3.288
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.3375
            [stop_loss] => 3.288
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.342
            [stop_loss] => 3.288
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.3465
            [stop_loss] => 3.288
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.351
            [stop_loss] => 3.288
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.3555
            [stop_loss] => 3.288
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.36
            [stop_loss] => 3.288
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)