Trade

buy - VIRTUAL

Status
win
2025-06-09 23:39:32
25 minutes
PNL
0.87
Entry: 1.961
Last: 1.97800000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.1017
Prediction 1 Accuracy
Strong Trade
0.8
Prediction 2 Accuracy
1 0.46
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.00783810459
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 1.9674
  4. ema21 - 1.92955
  5. ema50 - 1.8782
  6. ema100 - 1.82954
  7. price_ema9_diff - -0.00346058
  8. ema9_ema21_diff - 0.0196202
  9. ema21_ema50_diff - 0.0273379
  10. price_ema100_diff - 0.0716346
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.594544
  14. kc_percentage - 0.694656
  15. kc_width_percentage - 0.0741914
  16. volume_ema_diff - -0.216555
  17. ¸
  18. 15m
  19. ema9 - 1.9784
  20. ema21 - 1.98154
  21. ema50 - 1.95699
  22. ema100 - 1.91621
  23. price_ema9_diff - -0.00900099
  24. ema9_ema21_diff - -0.00158578
  25. ema21_ema50_diff - 0.0125453
  26. price_ema100_diff - 0.0231621
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.426393
  30. kc_percentage - 0.16357
  31. kc_width_percentage - 0.0323745
  32. volume_ema_diff - -0.524694
  33. ¸
  34. 5m
  35. ema9 - 1.96906
  36. ema21 - 1.9768
  37. ema50 - 1.98307
  38. ema100 - 1.97514
  39. price_ema9_diff - -0.00429957
  40. ema9_ema21_diff - -0.0039134
  41. ema21_ema50_diff - -0.00316419
  42. price_ema100_diff - -0.00736576
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.300779
  46. kc_percentage - -0.0405522
  47. kc_width_percentage - 0.0147704
  48. volume_ema_diff - -0.508029
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 109504
  53. 5m_price_ema100_diff: -0.00123732
  54. 5m_price: 109369
  55. 5m_correlation_with_coin: 0.538343
  56. btc_indicators
  57. 15m_ema100: 108162
  58. 15m_price_ema100_diff: 0.0111849
  59. 15m_price: 109372
  60. btc_indicators
  61. 1H_ema100: 105859
  62. 1H_price_ema100_diff: 0.0331539
  63. 1H_price: 109369
  64. ¸

Long Trade on VIRTUAL

The 09 Jun 2025 at 23:39:32

With 680.4 VIRTUAL at 1.961$ per unit.

Position size of 1334 $

Take profit at 1.978 (0.87 %) and Stop Loss at 1.949 (0.61 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -17.33 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-06-09 23:34:38 0.9584 30 1
OP 2025-06-09 23:46:28 0.9479 -100 3
RENDER 2025-06-09 23:38:42 0.9511 -100 1
LDO 2025-06-09 23:36:27 0.9508 60 1
BB 2025-05-18 16:07:47 0.9447 36.67 3
ARB 2025-06-09 23:36:45 0.9491 -100 1
NEAR 2025-06-09 23:35:25 0.9455 30 1
GOAT 2025-06-09 23:39:07 0.9451 40 1
FLOKI 2025-06-09 23:37:14 0.9392 30 1
CHILLGUY 2025-06-09 23:32:08 0.939 -100 1

📌 Time Data

Start at Closed at Duration
09 Jun 2025
23:39:32
10 Jun 2025
00:05:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.961 1.949 1.978 1.4 1.549
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 1.961
  • Stop Loss: 1.949
  • Take Profit: 1.978

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.949 - 1.961 = -0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.961 - 1.978 = -0.017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.017 / -0.012 = 1.4167

📌 Position Size

Amount Margin Quantity Leverage
1334 100 680.4 13.34
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 -0.012

Taille de position = 8 / -0.012 = -666.67

Taille de position USD = -666.67 x 1.961 = -1307.34

Donc, tu peux acheter -666.67 avec un stoploss a 1.949

Avec un position size USD de -1307.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -666.67 x -0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -666.67 x -0.017 = 11.33

Si Take Profit atteint, tu gagneras 11.33$

Résumé

  • Taille de position -666.67
  • Taille de position USD -1307.34
  • Perte potentielle 8
  • Gain potentiel 11.33
  • Risk-Reward Ratio 1.4167

📌 Peformances

TP % Target TP $ Target
0.87 % 12 $
SL % Target SL $ Target
0.61 % 8.2 $
PNL PNL %
12 $ 0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0663 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.985
            [stop_loss] => 1.949
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.991
            [stop_loss] => 1.949
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.997
            [stop_loss] => 1.949
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.003
            [stop_loss] => 1.949
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.009
            [stop_loss] => 1.949
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.015
            [stop_loss] => 1.949
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.021
            [stop_loss] => 1.949
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.027
            [stop_loss] => 1.949
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.033
            [stop_loss] => 1.949
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.039
            [stop_loss] => 1.949
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.045
            [stop_loss] => 1.949
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)