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Trade

buy - RPL

Status
win
2025-05-11 04:59:52
1 hour
PNL
2.94
Entry: 5.944
Last: 6.11900000

Results

Status:
win
Trade Type:
buy
Prediction Score: -2.8061
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
2 n/a
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 4.88

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.07761072676
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 6.12211
  4. ema21 - 5.79383
  5. ema50 - 5.34797
  6. price_ema9_diff - -0.0307416
  7. ema9_ema21_diff - 0.0566591
  8. ema21_ema50_diff - 0.0833713
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.551688
  12. kc_percentage - 0.591415
  13. kc_width_percentage - 0.233926
    14. ¸
  14. 15m
  15. ema9 - 6.12925
  16. ema21 - 6.19871
  17. ema50 - 5.98749
  18. price_ema9_diff - -0.0298854
  19. ema9_ema21_diff - -0.0112066
  20. ema21_ema50_diff - 0.0352774
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.41362
  24. kc_percentage - 0.12569
  25. kc_width_percentage - 0.115515
    26. ¸
  26. 5m
  27. ema9 - 6.00539
  28. ema21 - 6.10563
  29. ema50 - 6.21864
  30. price_ema9_diff - -0.0100548
  31. ema9_ema21_diff - -0.0164182
  32. ema21_ema50_diff - -0.0181735
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.339344
  36. kc_percentage - -0.0550414
  37. kc_width_percentage - 0.046671
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 103918
  41. 5m_price_ema100_diff: -0.00128399
  42. 5m_price: 103784
  43. 5m_correlation_with_coin: 0.142069
  44. btc_indicators
  45. 15m_ema100: 103749
  46. 15m_price_ema100_diff: 0.000342448
  47. 15m_price: 103784
  48. btc_indicators
  49. 1H_ema100: 101665
  50. 1H_price_ema100_diff: 0.0208429
  51. 1H_price: 103784
    52. ¸

Long Trade on RPL

The 11 May 2025 at 04:59:52

With 68.719 RPL at 5.944$ per unit.

Position size of 408.4659 $

Take profit at 6.1186 (2.94 %) and Stop Loss at 5.8276 (1.96 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -1.5 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-06-29 23:00:15 0.9735 40 1
APE 2025-06-04 09:16:27 0.963 -100 2
DEEP 2025-07-17 16:09:44 0.9599 -100 2
BB 2025-05-18 16:10:48 0.9586 35 2
BNB 2025-07-02 08:44:18 0.9593 50 1
1000CAT 2025-06-28 23:50:05 0.958 30 1
SANTOS 2025-07-18 11:19:29 0.9579 30 1
PEOPLE 2025-07-20 17:17:25 0.9564 60 1
KAS 2025-08-12 21:48:24 0.9562 -100 1
POL 2025-08-17 15:59:41 0.9559 40 1

📌 Time Data

Start at Closed at Duration
11 May 2025
04:59:52		 11 May 2025
06:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.944 5.8276 6.1186 1.5 7.827
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 5.944
  • Stop Loss: 5.8276
  • Take Profit: 6.1186

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.8276 - 5.944 = -0.1164

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.944 - 6.1186 = -0.1746

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1746 / -0.1164 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
408.4659 100 68.719 4.08
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 -0.1164

Taille de position = 8 / -0.1164 = -68.73

Taille de position USD = -68.73 x 5.944 = -408.53

Donc, tu peux acheter -68.73 avec un stoploss a 5.8276

Avec un position size USD de -408.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -68.73 x -0.1164 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -68.73 x -0.1746 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -68.73
  • Taille de position USD -408.53
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.94 % 12 $
SL % Target SL $ Target
1.96 % 8 $
PNL PNL %
12.03 $ 2.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.176
            [stop_loss] => 5.828
            [rr_ratio] => 2
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 6.234
            [stop_loss] => 5.828
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 6.292
            [stop_loss] => 5.828
            [rr_ratio] => 3
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 6.35
            [stop_loss] => 5.828
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 6.408
            [stop_loss] => 5.828
            [rr_ratio] => 4
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 6.466
            [stop_loss] => 5.828
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.524
            [stop_loss] => 5.828
            [rr_ratio] => 5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 6.582
            [stop_loss] => 5.828
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 6.64
            [stop_loss] => 5.828
            [rr_ratio] => 6
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 6.698
            [stop_loss] => 5.828
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 6.756
            [stop_loss] => 5.828
            [rr_ratio] => 7
            [closed_at] => 2025-05-11 07:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.181
            [max_drawdown] => 0.033
            [rr_ratio] => 5.48
            [high] => 6.12500000
            [low] => 5.91100000
            [mfe_pct] => 3.05
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 5.48
            [candles_analyzed] => 24
            [start_at] => 2025-05-11T04:59:52-04:00
            [end_at] => 2025-05-11T06:59:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.277
            [max_drawdown] => 0.19
            [rr_ratio] => 1.46
            [high] => 6.22100000
            [low] => 5.75400000
            [mfe_pct] => 4.66
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 1.46
            [candles_analyzed] => 72
            [start_at] => 2025-05-11T04:59:52-04:00
            [end_at] => 2025-05-11T10:59:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.69000000
            [high_after] => 6.22100000
            [low_before] => 5.92300000
            [low_after] => 5.75400000
            [is_new_high] => 
            [is_new_low] => 
        )

)