Trade

buy - RUNE

Status
win
2025-07-03 19:19:30
40 minutes
PNL
0.29
Entry: 1.392
Last: 1.39600000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1225
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.68
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001857756371
Details
  1. score: 2.07
  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 - 0.5572
  15. kc_width_percentage - 0.0365983
  16. volume_ema_diff - -0.628698
  17. volume_ema1 - 53978.204814947
  18. volume_ema2 - 145375.66441986
  19. ¸
  20. 15m
  21. ema9 - 1.395
  22. ema21 - 1.39295
  23. ema50 - 1.39198
  24. ema100 - 1.39318
  25. price_ema9_diff - -0.00215342
  26. ema9_ema21_diff - 0.00147315
  27. ema21_ema50_diff - 0.000694818
  28. price_ema100_diff - -0.000851009
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.495632
  32. kc_percentage - 0.430833
  33. kc_width_percentage - 0.0114179
  34. volume_ema_diff - -0.774248
  35. volume_ema1 - 7211.9914758705
  36. volume_ema2 - 31946.533989923
  37. ¸
  38. 5m
  39. ema9 - 1.39618
  40. ema21 - 1.39639
  41. ema50 - 1.39378
  42. ema100 - 1.39006
  43. price_ema9_diff - -0.00300076
  44. ema9_ema21_diff - -0.000145289
  45. ema21_ema50_diff - 0.00186732
  46. price_ema100_diff - 0.00139393
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.407655
  50. kc_percentage - -0.0735383
  51. kc_width_percentage - 0.00555737
  52. volume_ema_diff - -0.420932
  53. volume_ema1 - 2485.3053834704
  54. volume_ema2 - 4291.9101969834
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 109618
  59. 5m_price_ema100_diff: -0.000569736
  60. 5m_price: 109556
  61. 5m_correlation_with_coin: 0.565355
  62. btc_indicators
  63. 15m_ema100: 109452
  64. 15m_price_ema100_diff: 0.000945511
  65. 15m_price: 109556
  66. btc_indicators
  67. 1H_ema100: 108150
  68. 1H_price_ema100_diff: 0.0129959
  69. 1H_price: 109556
  70. ¸

Long Trade on RUNE

The 03 Jul 2025 at 19:19:30

With 2871 RUNE at 1.392$ per unit.

Position size of 3996 $

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: -50.31 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-07-03 19:18:43 0.9649 -100 1
SAND 2025-07-03 19:28:47 0.9207 -100 3
1000BONK 2025-07-03 19:20:45 0.9429 30 1
S 2025-07-03 19:24:25 0.9385 30 1
FIL 2025-07-03 19:27:05 0.935 30 1
OP 2025-07-03 19:40:07 0.8788 -100 1
ETH 2025-03-28 20:27:36 0.8679 -92.5 4
VIRTUAL 2025-07-05 22:07:02 0.8635 -100 1

📌 Time Data

Start at Closed at Duration
03 Jul 2025
19:19:30
03 Jul 2025
20:00:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.392 1.389 1.396 1.3 1.301
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
3996 100 2871 39.96
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 % 11 $
SL % Target SL $ Target
0.22 % 8.6 $
PNL PNL %
11 $ 0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0718 % 33.32 % 5

📌 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
(
)