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Trade

sell - APT

Status
win
2025-06-17 21:21:40
3 minutes
PNL
0.67
Entry: 4.4873
Last: 4.45700000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 4.61

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01337880507
Details
  1. score: 1
  2. 1H
  3. ema9 - 4.46514
  4. ema21 - 4.51287
  5. ema50 - 4.56021
  6. ema100 - 4.55673
  7. price_ema9_diff - 0.00496171
  8. ema9_ema21_diff - -0.0105764
  9. ema21_ema50_diff - -0.0103817
  10. price_ema100_diff - -0.0152372
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.447176
  14. kc_percentage - 0.403665
  15. kc_width_percentage - 0.0507132
  16. volume_ema_diff - -0.312727
    17. ¸
  17. 15m
  18. ema9 - 4.4577
  19. ema21 - 4.45473
  20. ema50 - 4.47951
  21. ema100 - 4.52427
  22. price_ema9_diff - 0.00663867
  23. ema9_ema21_diff - 0.000666879
  24. ema21_ema50_diff - -0.00553262
  25. price_ema100_diff - -0.00817333
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.561512
  29. kc_percentage - 0.810887
  30. kc_width_percentage - 0.0235814
  31. volume_ema_diff - -0.372006
    32. ¸
  32. 5m
  33. ema9 - 4.4708
  34. ema21 - 4.45918
  35. ema50 - 4.45114
  36. ema100 - 4.44599
  37. price_ema9_diff - 0.0036894
  38. ema9_ema21_diff - 0.00260485
  39. ema21_ema50_diff - 0.00180768
  40. price_ema100_diff - 0.0092893
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.642265
  44. kc_percentage - 1.00179
  45. kc_width_percentage - 0.0121818
  46. volume_ema_diff - -0.254014
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104414
  50. 5m_price_ema100_diff: 0.00605563
  51. 5m_price: 105047
  52. 5m_correlation_with_coin: 0.749504
  53. btc_indicators
  54. 15m_ema100: 105275
  55. 15m_price_ema100_diff: -0.00216396
  56. 15m_price: 105047
  57. btc_indicators
  58. 1H_ema100: 105799
  59. 1H_price_ema100_diff: -0.00710955
  60. 1H_price: 105047
    61. ¸

Short Trade on APT

The 17 Jun 2025 at 21:21:40

With 398.6405 APT at 4.4873$ per unit.

Position size of 1788.8194 $

Take profit at 4.4572 (0.67 %) and Stop Loss at 4.5074 (0.45 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 36.36 %

Symbol Start at Seach Score Trade Score Trades Count
ORDI 2025-06-17 21:17:42 0.9707 30 2
LINK 2025-06-17 21:20:38 0.9773 30 1
FLOKI 2025-06-17 21:13:09 0.9595 30 3
ADA 2025-06-17 21:20:04 0.9764 40 1
XRP 2025-06-17 21:19:46 0.9639 30 1
ONDO 2025-06-17 21:23:40 0.9597 30 1
WIF 2025-06-17 21:23:25 0.9595 40 1
POPCAT 2025-06-17 21:24:47 0.9574 40 1
SUI 2025-06-17 21:22:34 0.9559 40 1
ALGO 2025-06-17 21:21:25 0.9535 60 1
GALA 2025-06-17 21:11:10 0.9473 30 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
21:21:40		 17 Jun 2025
21:25:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.4873 4.5074 4.4572 1.5 4.6296
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 4.4873
  • Stop Loss: 4.5074
  • Take Profit: 4.4572

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.5074 - 4.4873 = 0.020099999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.4873 - 4.4572 = 0.0301

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0301 / 0.020099999999999 = 1.4975

📌 Position Size

Amount Margin Quantity Leverage
1788.8194 100 398.6405 17.89
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 0.020099999999999

Taille de position = 8 / 0.020099999999999 = 398.01

Taille de position USD = 398.01 x 4.4873 = 1785.99

Donc, tu peux acheter 398.01 avec un stoploss a 4.5074

Avec un position size USD de 1785.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 398.01 x 0.020099999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 398.01 x 0.0301 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 398.01
  • Taille de position USD 1785.99
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4975

📌 Peformances

TP % Target TP $ Target
0.67 % 12 $
SL % Target SL $ Target
0.45 % 8.01 $
PNL PNL %
11.96 $ 0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.447
            [stop_loss] => 4.507
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.437
            [stop_loss] => 4.507
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 4.427
            [stop_loss] => 4.507
            [rr_ratio] => 3
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 4.417
            [stop_loss] => 4.507
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 4.407
            [stop_loss] => 4.507
            [rr_ratio] => 4
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 4.397
            [stop_loss] => 4.507
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 4.387
            [stop_loss] => 4.507
            [rr_ratio] => 5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 4.377
            [stop_loss] => 4.507
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 4.367
            [stop_loss] => 4.507
            [rr_ratio] => 6
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 4.357
            [stop_loss] => 4.507
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 4.347
            [stop_loss] => 4.507
            [rr_ratio] => 7
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0484
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4.47500000
            [low] => 4.43890000
            [mfe_pct] => 1.08
            [mae_pct] => -0.27
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-17T21:21:40-04:00
            [end_at] => 2025-06-17T23:21:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0484
            [max_drawdown] => 0.047899999999999
            [rr_ratio] => 1.01
            [high] => 4.53520000
            [low] => 4.43890000
            [mfe_pct] => 1.08
            [mae_pct] => 1.07
            [mfe_mae_ratio] => 1.01
            [candles_analyzed] => 72
            [start_at] => 2025-06-17T21:21:40-04:00
            [end_at] => 2025-06-18T03:21:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.48950000
            [high_after] => 4.53520000
            [low_before] => 4.39700000
            [low_after] => 4.43890000
            [is_new_high] => 
            [is_new_low] => 
        )

)