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Trade

buy - RPL

Status
win
2025-05-11 07:14:26
1 hour
PNL
2.13
Entry: 5.862
Last: 5.98700000

Results

Status:
win
Trade Type:
buy
Prediction Score: -1.9353
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
ML Trade Score: 80
ML Pullback Score: 6.3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.05542209872
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 6.02165
  4. ema21 - 5.82561
  5. ema50 - 5.41281
  6. price_ema9_diff - -0.0274055
  7. ema9_ema21_diff - 0.0336516
  8. ema21_ema50_diff - 0.0762624
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.531186
  12. kc_percentage - 0.515242
  13. kc_width_percentage - 0.201456
    14. ¸
  14. 15m
  15. ema9 - 5.98933
  16. ema21 - 6.07474
  17. ema50 - 5.98858
  18. price_ema9_diff - -0.0209605
  19. ema9_ema21_diff - -0.0140608
  20. ema21_ema50_diff - 0.0143881
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.396019
  24. kc_percentage - 0.0914569
  25. kc_width_percentage - 0.0874809
    26. ¸
  26. 5m
  27. ema9 - 5.93232
  28. ema21 - 5.9839
  29. ema50 - 6.07194
  30. price_ema9_diff - -0.0117529
  31. ema9_ema21_diff - -0.00861958
  32. ema21_ema50_diff - -0.0144987
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.336578
  36. kc_percentage - -0.0462855
  37. kc_width_percentage - 0.0370187
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 104014
  41. 5m_price_ema100_diff: 0.00360236
  42. 5m_price: 104388
  43. 5m_correlation_with_coin: 0.052546
  44. btc_indicators
  45. 15m_ema100: 103849
  46. 15m_price_ema100_diff: 0.00519634
  47. 15m_price: 104388
  48. btc_indicators
  49. 1H_ema100: 101910
  50. 1H_price_ema100_diff: 0.0243137
  51. 1H_price: 104388
    52. ¸

Long Trade on RPL

The 11 May 2025 at 07:14:26

With 96.2312 RPL at 5.862$ per unit.

Position size of 564.1071 $

Take profit at 5.9867 (2.13 %) and Stop Loss at 5.7789 (1.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40.5 %

Symbol Start at Seach Score Trade Score Trades Count
PYTH 2025-06-30 02:53:36 0.9526 -25 2
XRP 2025-06-30 22:54:03 0.9524 30 1
GPS 2025-06-10 01:44:55 0.948 -100 2
ATH 2025-05-13 22:03:55 0.9436 30 1
SPK 2025-07-11 11:24:49 0.943 -100 1
UXLINK 2025-06-24 03:50:57 0.9385 -100 2
1MCHEEMS 2025-07-17 09:35:51 0.9383 -100 1
SUNDOG 2025-05-13 19:15:48 0.9374 -100 1
MOVE 2025-07-21 12:49:22 0.937 30 1
MOCA 2025-06-24 04:57:10 0.9365 30 1

📌 Time Data

Start at Closed at Duration
11 May 2025
07:14:26		 11 May 2025
08:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.862 5.7789 5.9867 1.5 7.751
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 5.862
  • Stop Loss: 5.7789
  • Take Profit: 5.9867

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.7789 - 5.862 = -0.0831

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.862 - 5.9867 = -0.1247

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1247 / -0.0831 = 1.5006

📌 Position Size

Amount Margin Quantity Leverage
564.1071 100 96.2312 5.64
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 -0.0831

Taille de position = 8 / -0.0831 = -96.27

Taille de position USD = -96.27 x 5.862 = -564.33

Donc, tu peux acheter -96.27 avec un stoploss a 5.7789

Avec un position size USD de -564.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -96.27 x -0.0831 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -96.27 x -0.1247 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -96.27
  • Taille de position USD -564.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5006

📌 Peformances

TP % Target TP $ Target
2.13 % 12 $
SL % Target SL $ Target
1.42 % 8 $
PNL PNL %
12.03 $ 2.13
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.61412487205733 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.028
            [stop_loss] => 5.779
            [rr_ratio] => 2
            [closed_at] => 2025-05-11 09:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.0695
            [stop_loss] => 5.779
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-11 09:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.111
            [stop_loss] => 5.779
            [rr_ratio] => 3
            [closed_at] => 2025-05-11 09:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.1525
            [stop_loss] => 5.779
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-11 09:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.194
            [stop_loss] => 5.779
            [rr_ratio] => 4
            [closed_at] => 2025-05-11 09:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.2355
            [stop_loss] => 5.779
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.277
            [stop_loss] => 5.779
            [rr_ratio] => 5
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 6.3185
            [stop_loss] => 5.779
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 6.36
            [stop_loss] => 5.779
            [rr_ratio] => 6
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 6.4015
            [stop_loss] => 5.779
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 6.443
            [stop_loss] => 5.779
            [rr_ratio] => 7
            [closed_at] => 2025-05-11 09:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.359
            [max_drawdown] => 0.036
            [rr_ratio] => 9.97
            [high] => 6.22100000
            [low] => 5.82600000
            [mfe_pct] => 6.12
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 9.97
            [candles_analyzed] => 24
            [start_at] => 2025-05-11T07:14:26-04:00
            [end_at] => 2025-05-11T09:14:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.414
            [max_drawdown] => 0.108
            [rr_ratio] => 3.83
            [high] => 6.27600000
            [low] => 5.75400000
            [mfe_pct] => 7.06
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 3.83
            [candles_analyzed] => 72
            [start_at] => 2025-05-11T07:14:26-04:00
            [end_at] => 2025-05-11T13:14:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.32400000
            [high_after] => 6.27600000
            [low_before] => 5.80300000
            [low_after] => 5.75400000
            [is_new_high] => 
            [is_new_low] => 
        )

)