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Trade

sell - VIRTUAL

Status
loss
2025-06-12 23:37:38
17 minutes
PNL
-1.34
Entry: 1.793
Last: 1.81700000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -0.1313
Prediction 1 Accuracy
Weak Trade
0.5
Prediction 2 Accuracy
0 0.55
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.01606525157
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 1.8297
  4. ema21 - 1.91868
  5. ema50 - 1.99084
  6. ema100 - 1.98689
  7. price_ema9_diff - -0.0201689
  8. ema9_ema21_diff - -0.0463776
  9. ema21_ema50_diff - -0.0362439
  10. price_ema100_diff - -0.0976883
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.296505
  14. kc_percentage - -0.0119368
  15. kc_width_percentage - 0.131252
  16. volume_ema_diff - 0.0756602
    17. ¸
  17. 15m
  18. ema9 - 1.76133
  19. ema21 - 1.78894
  20. ema50 - 1.86486
  21. ema100 - 1.93608
  22. price_ema9_diff - 0.0178628
  23. ema9_ema21_diff - -0.0154301
  24. ema21_ema50_diff - -0.0407139
  25. price_ema100_diff - -0.0740053
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.45528
  29. kc_percentage - 0.559251
  30. kc_width_percentage - 0.0640024
  31. volume_ema_diff - -0.273757
    32. ¸
  32. 5m
  33. ema9 - 1.76938
  34. ema21 - 1.75668
  35. ema50 - 1.77439
  36. ema100 - 1.81614
  37. price_ema9_diff - 0.0132309
  38. ema9_ema21_diff - 0.00723292
  39. ema21_ema50_diff - -0.00998072
  40. price_ema100_diff - -0.0128555
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.640759
  44. kc_percentage - 1.08316
  45. kc_width_percentage - 0.0343511
  46. volume_ema_diff - 0.0198963
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104902
  50. 5m_price_ema100_diff: -0.00752613
  51. 5m_price: 104113
  52. 5m_correlation_with_coin: 0.757561
  53. btc_indicators
  54. 15m_ema100: 106323
  55. 15m_price_ema100_diff: -0.0198516
  56. 15m_price: 104212
  57. btc_indicators
  58. 1H_ema100: 107490
  59. 1H_price_ema100_diff: -0.0314219
  60. 1H_price: 104113
    61. ¸

Short Trade on VIRTUAL

The 12 Jun 2025 at 23:37:38

With 332 VIRTUAL at 1.793$ per unit.

Position size of 595.2 $

Take profit at 1.757 (2 %) and Stop Loss at 1.817 (1.3 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 14 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-06-12 23:37:35 0.9841 -100 4
ARC 2025-06-12 23:46:29 0.9811 30 1
AI16Z 2025-06-12 23:38:07 0.9769 30 1
BGB 2025-04-06 21:31:40 0.9761 100 1
STRK 2025-06-12 23:35:18 0.9734 30 1
TIA 2025-06-21 20:38:57 0.9723 40 1
FIS 2025-05-01 23:16:12 0.9723 50 1
BTC 2025-06-17 14:59:06 0.9715 -100 1
JUP 2025-06-12 23:55:28 0.9711 30 1
IO 2025-06-12 23:43:45 0.9692 30 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
23:37:38		 12 Jun 2025
23:55:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.793 1.817 1.757 1.5 1.568
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 1.793
  • Stop Loss: 1.817
  • Take Profit: 1.757

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.817 - 1.793 = 0.024

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.793 - 1.757 = 0.036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.036 / 0.024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
595.2 100 332 5.95
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 0.024

Taille de position = 8 / 0.024 = 333.33

Taille de position USD = 333.33 x 1.793 = 597.66

Donc, tu peux acheter 333.33 avec un stoploss a 1.817

Avec un position size USD de 597.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 333.33 x 0.024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 333.33 x 0.036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 333.33
  • Taille de position USD 597.66
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2 % 12 $
SL % Target SL $ Target
1.3 % 8 $
PNL PNL %
-8 $ -1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3832 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.757
            [entry_price] => 1.793
            [stop_loss] => 1.8194
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-13 00:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.757
            [entry_price] => 1.793
            [stop_loss] => 1.8218
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-13 00:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.757
            [entry_price] => 1.793
            [stop_loss] => 1.8242
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-13 00:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.757
            [entry_price] => 1.793
            [stop_loss] => 1.829
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-13 00:30:00
            [result] => loss
        )

)