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Trade

buy - VIRTUAL

Status
win
2025-06-29 22:43:15
2 hours
PNL
0.95
Entry: 1.576
Last: 1.59100000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.2036
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
0 0.62
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.006504953777
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 1.59034
  4. ema21 - 1.57028
  5. ema50 - 1.53203
  6. ema100 - 1.49907
  7. price_ema9_diff - -0.00901823
  8. ema9_ema21_diff - 0.0127731
  9. ema21_ema50_diff - 0.0249697
  10. price_ema100_diff - 0.0513126
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.532662
  14. kc_percentage - 0.53039
  15. kc_width_percentage - 0.083987
  16. volume_ema_diff - 0.0773802
  17. volume_ema1 - 2130586.1330583
  18. volume_ema2 - 1977561.8137244
    19. ¸
  19. 15m
  20. ema9 - 1.59281
  21. ema21 - 1.59836
  22. ema50 - 1.58612
  23. ema100 - 1.5643
  24. price_ema9_diff - -0.0105551
  25. ema9_ema21_diff - -0.0034711
  26. ema21_ema50_diff - 0.00771461
  27. price_ema100_diff - 0.00747793
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.423223
  31. kc_percentage - 0.104197
  32. kc_width_percentage - 0.0360478
  33. volume_ema_diff - -0.337305
  34. volume_ema1 - 373450.67856191
  35. volume_ema2 - 563533.75228068
    36. ¸
  36. 5m
  37. ema9 - 1.5815
  38. ema21 - 1.58998
  39. ema50 - 1.59915
  40. ema100 - 1.59405
  41. price_ema9_diff - -0.00348396
  42. ema9_ema21_diff - -0.00533194
  43. ema21_ema50_diff - -0.00573531
  44. price_ema100_diff - -0.0113283
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.300146
  48. kc_percentage - -0.0743107
  49. kc_width_percentage - 0.0147264
  50. volume_ema_diff - -0.516639
  51. volume_ema1 - 89182.962727117
  52. volume_ema2 - 184506.07210943
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108127
  56. 5m_price_ema100_diff: 0.00318356
  57. 5m_price: 108472
  58. 5m_correlation_with_coin: 0.584458
  59. btc_indicators
  60. 15m_ema100: 107809
  61. 15m_price_ema100_diff: 0.00712742
  62. 15m_price: 108578
  63. btc_indicators
  64. 1H_ema100: 107443
  65. 1H_price_ema100_diff: 0.00957169
  66. 1H_price: 108472
    67. ¸

Long Trade on VIRTUAL

The 29 Jun 2025 at 22:43:15

With 819.9 VIRTUAL at 1.576$ per unit.

Position size of 1292 $

Take profit at 1.591 (0.95 %) and Stop Loss at 1.566 (0.63 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -85.83 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-06-29 22:41:09 0.9626 -100 1
S 2025-06-29 22:43:57 0.9595 -70 1
IO 2025-06-29 22:41:52 0.9452 -100 1
FLOKI 2025-06-29 22:39:05 0.9402 -100 1
INJ 2025-06-29 22:34:17 0.9333 -100 2
FET 2025-06-29 22:37:47 0.9303 -100 1
GOAT 2025-06-29 22:42:51 0.9262 40 1
NEAR 2025-06-29 22:41:26 0.9215 -100 2
TIA 2025-06-29 22:40:21 0.9193 -100 1
SHIB 2025-06-29 22:36:01 0.9189 -100 1
AVAX 2025-06-29 22:35:43 0.9179 -100 1
ONDO 2025-06-29 23:02:45 0.9154 -100 1

📌 Time Data

Start at Closed at Duration
29 Jun 2025
22:43:15		 30 Jun 2025
01:35:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.576 1.566 1.591 1.5 1.576
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 1.576
  • Stop Loss: 1.566
  • Take Profit: 1.591

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.566 - 1.576 = -0.01

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.576 - 1.591 = -0.015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.015 / -0.01 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1292 100 819.9 12.92
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 -0.01

Taille de position = 8 / -0.01 = -800

Taille de position USD = -800 x 1.576 = -1260.8

Donc, tu peux acheter -800 avec un stoploss a 1.566

Avec un position size USD de -1260.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -800 x -0.01 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -800 x -0.015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -800
  • Taille de position USD -1260.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.95 % 12 $
SL % Target SL $ Target
0.63 % 8.2 $
PNL PNL %
12 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5457 % 86 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.596
            [stop_loss] => 1.566
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 01:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.601
            [stop_loss] => 1.566
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 01:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.606
            [stop_loss] => 1.566
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 01:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.611
            [stop_loss] => 1.566
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 01:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.616
            [stop_loss] => 1.566
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.621
            [stop_loss] => 1.566
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.626
            [stop_loss] => 1.566
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.631
            [stop_loss] => 1.566
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.636
            [stop_loss] => 1.566
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.641
            [stop_loss] => 1.566
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.646
            [stop_loss] => 1.566
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 02:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)