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Trade

buy - RUNE

Status
win
2025-07-03 19:28:15
31 minutes
PNL
0.29
Entry: 1.392
Last: 1.39600000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1861
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.64
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001739180614
Details
  1. score: 2
  2. 1H
  3. ema9 - 1.39168
  4. ema21 - 1.38863
  5. ema50 - 1.37313
  6. ema100 - 1.35919
  7. price_ema9_diff - 0.000226505
  8. ema9_ema21_diff - 0.00219783
  9. ema21_ema50_diff - 0.0112857
  10. price_ema100_diff - 0.0241392
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.532798
  14. kc_percentage - 0.556754
  15. kc_width_percentage - 0.0368856
  16. volume_ema_diff - -0.613177
  17. volume_ema1 - 56342.121317387
  18. volume_ema2 - 145653.77224368
    19. ¸
  19. 15m
  20. ema9 - 1.395
  21. ema21 - 1.39295
  22. ema50 - 1.39198
  23. ema100 - 1.39318
  24. price_ema9_diff - -0.00215342
  25. ema9_ema21_diff - 0.00147315
  26. ema21_ema50_diff - 0.000694818
  27. price_ema100_diff - -0.000851009
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.495632
  31. kc_percentage - 0.430833
  32. kc_width_percentage - 0.0114179
  33. volume_ema_diff - -0.774248
  34. volume_ema1 - 7211.9914758705
  35. volume_ema2 - 31946.533989923
    36. ¸
  36. 5m
  37. ema9 - 1.39452
  38. ema21 - 1.39554
  39. ema50 - 1.3935
  40. ema100 - 1.38932
  41. price_ema9_diff - -0.00180805
  42. ema9_ema21_diff - -0.000735036
  43. ema21_ema50_diff - 0.00146206
  44. price_ema100_diff - 0.00192488
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.417408
  48. kc_percentage - -0.00463619
  49. kc_width_percentage - 0.00504737
  50. volume_ema_diff - -0.290843
  51. volume_ema1 - 3038.6818458713
  52. volume_ema2 - 4284.9243484353
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109615
  56. 5m_price_ema100_diff: -0.000690943
  57. 5m_price: 109540
  58. 5m_correlation_with_coin: 0.576165
  59. btc_indicators
  60. 15m_ema100: 109452
  61. 15m_price_ema100_diff: 0.000828196
  62. 15m_price: 109542
  63. btc_indicators
  64. 1H_ema100: 108150
  65. 1H_price_ema100_diff: 0.0128518
  66. 1H_price: 109540
    67. ¸

Long Trade on RUNE

The 03 Jul 2025 at 19:28:15

With 3067 RUNE at 1.392$ per unit.

Position size of 4269 $

Take profit at 1.396 (0.29 %) and Stop Loss at 1.389 (0.22 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: -38.57 %

Symbol Start at Seach Score Trade Score Trades Count
SAND 2025-07-03 19:33:42 0.9166 -67.5 4
FIL 2025-07-03 19:27:05 0.9571 30 1
1000BONK 2025-07-03 19:20:45 0.9306 30 1
S 2025-07-03 19:24:25 0.9217 30 1
SHIB 2025-07-03 19:18:43 0.9169 -100 1
OP 2025-07-03 19:40:07 0.9008 -100 1
ETH 2025-03-28 20:27:36 0.8705 -92.5 4

📌 Time Data

Start at Closed at Duration
03 Jul 2025
19:28:15		 03 Jul 2025
20:00:00		 31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.392 1.389 1.396 1.3 1.297
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 1.392
  • Stop Loss: 1.389
  • Take Profit: 1.396

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.389 - 1.392 = -0.0029999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.392 - 1.396 = -0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.004 / -0.0029999999999999 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
4269 100 3067 42.69
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 -0.0029999999999999

Taille de position = 8 / -0.0029999999999999 = -2666.67

Taille de position USD = -2666.67 x 1.392 = -3712

Donc, tu peux acheter -2666.67 avec un stoploss a 1.389

Avec un position size USD de -3712$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2666.67 x -0.0029999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2666.67 x -0.004 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position -2666.67
  • Taille de position USD -3712
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.29 % 12 $
SL % Target SL $ Target
0.22 % 9.2 $
PNL PNL %
12 $ 0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.398
            [stop_loss] => 1.389
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 20:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.3995
            [stop_loss] => 1.389
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.401
            [stop_loss] => 1.389
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.4025
            [stop_loss] => 1.389
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 20:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.404
            [stop_loss] => 1.389
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 20:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.4055
            [stop_loss] => 1.389
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 20:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.407
            [stop_loss] => 1.389
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 20:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.4085
            [stop_loss] => 1.389
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 22:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.41
            [stop_loss] => 1.389
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 22:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.4115
            [stop_loss] => 1.389
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 22:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.413
            [stop_loss] => 1.389
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 22:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)