Trade

buy - TRX

Status
win
2025-06-29 15:00:33
1 hour
PNL
0.15
Entry: 0.2754
Last: 0.27580000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.2143
Prediction 1 Accuracy
Weak Trade
0.82
Prediction 2 Accuracy
0 0.68
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001610979722
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.275495
  4. ema21 - 0.27523
  5. ema50 - 0.274418
  6. ema100 - 0.273435
  7. price_ema9_diff - -0.000238126
  8. ema9_ema21_diff - 0.000964185
  9. ema21_ema50_diff - 0.00295914
  10. price_ema100_diff - 0.00729566
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.547095
  14. kc_percentage - 0.570572
  15. kc_width_percentage - 0.00893779
  16. volume_ema_diff - -0.422424
  17. volume_ema1 - 118269.98999987
  18. volume_ema2 - 204769.67353839
  19. ¸
  20. 15m
  21. ema9 - 0.275702
  22. ema21 - 0.275627
  23. ema50 - 0.275406
  24. ema100 - 0.275024
  25. price_ema9_diff - -0.000987223
  26. ema9_ema21_diff - 0.00027193
  27. ema21_ema50_diff - 0.000801843
  28. price_ema100_diff - 0.00147564
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.46992
  32. kc_percentage - 0.339156
  33. kc_width_percentage - 0.00464847
  34. volume_ema_diff - -0.194364
  35. volume_ema1 - 35281.990602698
  36. volume_ema2 - 43793.967849362
  37. ¸
  38. 5m
  39. ema9 - 0.275657
  40. ema21 - 0.275755
  41. ema50 - 0.275679
  42. ema100 - 0.275456
  43. price_ema9_diff - -0.000824853
  44. ema9_ema21_diff - -0.000355767
  45. ema21_ema50_diff - 0.000276265
  46. price_ema100_diff - -9.65347E-5
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.369959
  50. kc_percentage - -0.00556128
  51. kc_width_percentage - 0.00231715
  52. volume_ema_diff - -0.307516
  53. volume_ema1 - 9963.5282018041
  54. volume_ema2 - 14388.119156275
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107746
  59. 5m_price_ema100_diff: -0.00152744
  60. 5m_price: 107581
  61. 5m_correlation_with_coin: 0.152414
  62. btc_indicators
  63. 15m_ema100: 107573
  64. 15m_price_ema100_diff: 7.20822E-5
  65. 15m_price: 107581
  66. btc_indicators
  67. 1H_ema100: 107323
  68. 1H_price_ema100_diff: 0.00240391
  69. 1H_price: 107581
  70. ¸

Long Trade on TRX

The 29 Jun 2025 at 15:00:33

With 33110 TRX at 0.2754$ per unit.

Position size of 9118 $

Take profit at 0.2758 (0.15 %) and Stop Loss at 0.2752 (0.073 %)

That's a 2 RR Trade

📌 Similar Trades

Similar Trade Score: -35 %

Symbol Start at Seach Score Trade Score Trades Count
AIOZ 2025-04-28 04:57:16 0.7914 0 4
TUT 2025-04-08 01:42:50 0.807 60 1
KAS 2025-05-23 00:25:34 0.8025 -100 2
FARTCOIN 2025-05-05 16:14:25 0.7776 -100 3
RAY 2025-04-28 04:52:44 0.7787 30 2
LPT 2025-06-11 14:17:56 0.784 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
15:00:33
29 Jun 2025
17:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2754 0.2752 0.2758 2 0.2884
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 0.2754
  • Stop Loss: 0.2752
  • Take Profit: 0.2758

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2752 - 0.2754 = -0.00019999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2754 - 0.2758 = -0.00040000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00040000000000001 / -0.00019999999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
9118 100 33110 91.18
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 -0.00019999999999998

Taille de position = 8 / -0.00019999999999998 = -40000

Taille de position USD = -40000 x 0.2754 = -11016

Donc, tu peux acheter -40000 avec un stoploss a 0.2752

Avec un position size USD de -11016$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.00019999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.00040000000000001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -40000
  • Taille de position USD -11016
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.15 % 13 $
SL % Target SL $ Target
0.073 % 6.6 $
PNL PNL %
13 $ 0.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.029 % 39.94 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2758
            [stop_loss] => 0.2752
            [rr_ratio] => 2
            [closed_at] => 2025-06-29 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2759
            [stop_loss] => 0.2752
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-29 17:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.276
            [stop_loss] => 0.2752
            [rr_ratio] => 3
            [closed_at] => 2025-06-29 17:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2761
            [stop_loss] => 0.2752
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2762
            [stop_loss] => 0.2752
            [rr_ratio] => 4
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2763
            [stop_loss] => 0.2752
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2764
            [stop_loss] => 0.2752
            [rr_ratio] => 5
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2765
            [stop_loss] => 0.2752
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2766
            [stop_loss] => 0.2752
            [rr_ratio] => 6
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2767
            [stop_loss] => 0.2752
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2768
            [stop_loss] => 0.2752
            [rr_ratio] => 7
            [closed_at] => 2025-06-29 17:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)