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Trade

sell - VIRTUAL

Status
win
2025-06-01 00:39:47
1 hour
PNL
1.39
Entry: 2.0087
Last: 1.98100000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.1063
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
1 0.43
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.01228223171
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 2.01012
  4. ema21 - 2.0211
  5. ema50 - 2.06687
  6. ema100 - 2.1574
  7. price_ema9_diff - -0.000707566
  8. ema9_ema21_diff - -0.00543189
  9. ema21_ema50_diff - -0.0221454
  10. price_ema100_diff - -0.0689286
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.471537
  14. kc_percentage - 0.441752
  15. kc_width_percentage - 0.099609
    16. ¸
  16. 15m
  17. ema9 - 1.9841
  18. ema21 - 1.99256
  19. ema50 - 2.00992
  20. ema100 - 1.99548
  21. price_ema9_diff - 0.012395
  22. ema9_ema21_diff - -0.00424591
  23. ema21_ema50_diff - -0.00863661
  24. price_ema100_diff - 0.00662261
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.529293
  28. kc_percentage - 0.688993
  29. kc_width_percentage - 0.0452308
    30. ¸
  30. 5m
  31. ema9 - 1.98812
  32. ema21 - 1.98335
  33. ema50 - 1.98836
  34. ema100 - 2.00575
  35. price_ema9_diff - 0.0103473
  36. ema9_ema21_diff - 0.00240898
  37. ema21_ema50_diff - -0.00252332
  38. price_ema100_diff - 0.0014661
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.636302
  42. kc_percentage - 1.00751
  43. kc_width_percentage - 0.0247416
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104387
  47. 5m_price_ema100_diff: 0.00242396
  48. 5m_price: 104640
  49. 5m_correlation_with_coin: 0.74888
  50. btc_indicators
  51. 15m_ema100: 104170
  52. 15m_price_ema100_diff: 0.00451565
  53. 15m_price: 104640
  54. btc_indicators
  55. 1H_ema100: 105665
  56. 1H_price_ema100_diff: -0.00970004
  57. 1H_price: 104640
    58. ¸

Short Trade on VIRTUAL

The 01 Jun 2025 at 00:39:47

With 434.2316 VIRTUAL at 2.0087$ per unit.

Position size of 872.241 $

Take profit at 1.9811 (1.37 %) and Stop Loss at 2.0271 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20.37 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-04-28 15:36:07 0.8964 36.67 3
SKL 2025-08-18 04:33:15 0.8999 -100 1
TAO 2025-03-26 16:15:06 0.892 50 2
AIXBT 2025-07-01 03:51:12 0.8935 40 1
AAVE 2025-04-28 15:32:05 0.89 50 1
HYPE 2025-04-28 15:50:01 0.8879 -100 2
BRETT 2025-05-05 14:41:21 0.8824 -100 2
ORDER 2025-08-02 11:22:20 0.8809 40 1
DOGE 2025-06-15 08:57:59 0.8805 -100 1

📌 Time Data

Start at Closed at Duration
01 Jun 2025
00:39:47		 01 Jun 2025
01:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0087 2.0271 1.9811 1.5 1.2114
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 2.0087
  • Stop Loss: 2.0271
  • Take Profit: 1.9811

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0271 - 2.0087 = 0.0184

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0087 - 1.9811 = 0.0276

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0276 / 0.0184 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
872.241 100 434.2316 8.72
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 0.0184

Taille de position = 8 / 0.0184 = 434.78

Taille de position USD = 434.78 x 2.0087 = 873.34

Donc, tu peux acheter 434.78 avec un stoploss a 2.0271

Avec un position size USD de 873.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 434.78 x 0.0184 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 434.78 x 0.0276 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 434.78
  • Taille de position USD 873.34
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.37 % 11.98 $
SL % Target SL $ Target
0.92 % 7.99 $
PNL PNL %
12.16 $ 1.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.029865604778493 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.973
            [stop_loss] => 2.027
            [rr_ratio] => 2
            [closed_at] => 2025-06-01 02:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.964
            [stop_loss] => 2.027
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-01 03:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.955
            [stop_loss] => 2.027
            [rr_ratio] => 3
            [closed_at] => 2025-06-01 03:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.946
            [stop_loss] => 2.027
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-01 04:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.937
            [stop_loss] => 2.027
            [rr_ratio] => 4
            [closed_at] => 2025-06-01 05:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.928
            [stop_loss] => 2.027
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-01 05:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.919
            [stop_loss] => 2.027
            [rr_ratio] => 5
            [closed_at] => 2025-06-01 05:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.91
            [stop_loss] => 2.027
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-01 05:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.901
            [stop_loss] => 2.027
            [rr_ratio] => 6
            [closed_at] => 2025-06-01 05:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.892
            [stop_loss] => 2.027
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-01 05:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0417
            [max_drawdown] => 0.00089999999999968
            [rr_ratio] => 46.33
            [high] => 2.00960000
            [low] => 1.96700000
            [mfe_pct] => 2.08
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 46.33
            [candles_analyzed] => 24
            [start_at] => 2025-06-01T00:39:47-04:00
            [end_at] => 2025-06-01T02:39:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1175
            [max_drawdown] => 0.00089999999999968
            [rr_ratio] => 100
            [high] => 2.00960000
            [low] => 1.89120000
            [mfe_pct] => 5.85
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 130.56
            [candles_analyzed] => 72
            [start_at] => 2025-06-01T00:39:47-04:00
            [end_at] => 2025-06-01T06:39:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.01380000
            [high_after] => 2.00960000
            [low_before] => 1.94520000
            [low_after] => 1.89120000
            [is_new_high] => 
            [is_new_low] => 1
        )

)