Trade

buy - ATH

Status
win
2025-07-02 23:11:13
8 minutes
PNL
0.54
Entry: 0.0279
Last: 0.02805000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.7
Prediction 1 Accuracy
Strong Trade
0.54
Prediction 2 Accuracy
1 0.4
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 6.689765005E-5
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.027998
  4. ema21 - 0.0277599
  5. ema50 - 0.027723
  6. ema100 - 0.0280723
  7. price_ema9_diff - -0.00350348
  8. ema9_ema21_diff - 0.00857694
  9. ema21_ema50_diff - 0.00133252
  10. price_ema100_diff - -0.00614058
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.541319
  14. kc_percentage - 0.583032
  15. kc_width_percentage - 0.0537426
  16. volume_ema_diff - -0.372425
  17. volume_ema1 - 81679.753241861
  18. volume_ema2 - 130151.45612959
  19. ¸
  20. 15m
  21. ema9 - 0.0280371
  22. ema21 - 0.0280681
  23. ema50 - 0.0279169
  24. ema100 - 0.0275854
  25. price_ema9_diff - -0.0048907
  26. ema9_ema21_diff - -0.00110553
  27. ema21_ema50_diff - 0.00541436
  28. price_ema100_diff - 0.0114022
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.446235
  32. kc_percentage - 0.248853
  33. kc_width_percentage - 0.0241463
  34. volume_ema_diff - -0.222143
  35. volume_ema1 - 26123.067528856
  36. volume_ema2 - 33583.387404653
  37. ¸
  38. 5m
  39. ema9 - 0.0279476
  40. ema21 - 0.0280232
  41. ema50 - 0.0280747
  42. ema100 - 0.0280902
  43. price_ema9_diff - -0.00170499
  44. ema9_ema21_diff - -0.00269865
  45. ema21_ema50_diff - -0.00183412
  46. price_ema100_diff - -0.0067725
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.361319
  50. kc_percentage - -0.00134802
  51. kc_width_percentage - 0.00849607
  52. volume_ema_diff - 0.168798
  53. volume_ema1 - 9988.0533696213
  54. volume_ema2 - 8545.5723906907
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 109003
  59. 5m_price_ema100_diff: -0.00292134
  60. 5m_price: 108685
  61. 5m_correlation_with_coin: 0.436939
  62. btc_indicators
  63. 15m_ema100: 108140
  64. 15m_price_ema100_diff: 0.00503687
  65. 15m_price: 108685
  66. btc_indicators
  67. 1H_ema100: 107508
  68. 1H_price_ema100_diff: 0.0109459
  69. 1H_price: 108685
  70. ¸

Long Trade on ATH

The 02 Jul 2025 at 23:11:13

With 79720 ATH at 0.0279$ per unit.

Position size of 2224 $

Take profit at 0.02805 (0.54 %) and Stop Loss at 0.0278 (0.36 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 6.25 %

Symbol Start at Seach Score Trade Score Trades Count
MOVE 2025-03-26 00:01:21 0.9494 0 3
KAITO 2025-05-11 00:31:17 0.9461 30 1
ICP 2025-07-02 23:19:40 0.9405 30 1
ENS 2025-05-29 08:22:25 0.9394 -100 2
RUNE 2025-07-02 23:02:14 0.9397 60 1
MKR 2025-06-14 05:26:29 0.9386 -100 3
PENGU 2025-06-07 09:07:35 0.9383 30 1
T 2025-04-18 11:11:33 0.9377 100 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
23:11:13
02 Jul 2025
23:20:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0279 0.0278 0.02805 1.5 0.02939
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 0.0279
  • Stop Loss: 0.0278
  • Take Profit: 0.02805

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0278 - 0.0279 = -0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0279 - 0.02805 = -0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00015 / -0.0001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2224 100 79720 22.24
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 -0.0001

Taille de position = 8 / -0.0001 = -80000

Taille de position USD = -80000 x 0.0279 = -2232

Donc, tu peux acheter -80000 avec un stoploss a 0.0278

Avec un position size USD de -2232$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -80000 x -0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -80000 x -0.00015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -80000
  • Taille de position USD -2232
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.54 % 12 $
SL % Target SL $ Target
0.36 % 8 $
PNL PNL %
12 $ 0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0281
            [stop_loss] => 0.0278
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.02815
            [stop_loss] => 0.0278
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.0282
            [stop_loss] => 0.0278
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.02825
            [stop_loss] => 0.0278
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.0283
            [stop_loss] => 0.0278
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.02835
            [stop_loss] => 0.0278
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0284
            [stop_loss] => 0.0278
            [rr_ratio] => 5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.02845
            [stop_loss] => 0.0278
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0285
            [stop_loss] => 0.0278
            [rr_ratio] => 6
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.02855
            [stop_loss] => 0.0278
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.0286
            [stop_loss] => 0.0278
            [rr_ratio] => 7
            [closed_at] => 2025-07-02 23:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)