Long Trade on HYPE 22 Apr 2025 at 20:52:41

Take profit at 18.9053 (1.28 %) and Stop Loss at 18.5081 (0.85 %)

Long Trade on HYPE

The 22 Apr 2025 at 20:52:41

With 50.3574 HYPE at 18.667$ per unit.

Position size of 940.0209 $

Take profit at 18.9053 (1.28 %) and Stop Loss at 18.5081 (0.85 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 8
Prediction Score: 1.9924
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.1059097067
Details
  1. score: 2.24
  2. 1H
  3. ema9 : 18.8185
  4. ema21 : 18.654
  5. ema50 : 18.3737
  6. price_ema9_diff : -0.00812229
  7. ema9_ema21_diff : 0.00881575
  8. ema21_ema50_diff : 0.0152558
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.518207
  12. kc_percentage : 0.50013
  13. kc_width_percentage : 0.0745069
  14. ¸
  15. 15m
  16. ema9 : 18.9411
  17. ema21 : 18.92
  18. ema50 : 18.7859
  19. price_ema9_diff : -0.01449
  20. ema9_ema21_diff : 0.00111277
  21. ema21_ema50_diff : 0.00713915
  22. all_emas_in_trend : True
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.406353
  25. kc_percentage : 0.139729
  26. kc_width_percentage : 0.0382898
  27. ¸
  28. 5m
  29. ema9 : 18.9005
  30. ema21 : 18.9914
  31. ema50 : 18.9673
  32. price_ema9_diff : -0.0122982
  33. ema9_ema21_diff : -0.00478488
  34. ema21_ema50_diff : 0.00126756
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. rsi : 0.287273
  38. kc_percentage : -0.2413
  39. kc_width_percentage : 0.0232647
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Apr 2025
20:52:41
22 Apr 2025
21:10:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
18.667 18.5081 18.9053 1.5 27.134
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 18.667
  • Stop Loss: 18.5081
  • Take Profit: 18.9053

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 18.5081 - 18.667 = -0.1589

  • Récompense (distance jusqu'au take profit):

    E - TP = 18.667 - 18.9053 = -0.2383

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2383 / -0.1589 = 1.4997

📌 Position Size

Amount Margin Quantity Leverage
940.0209 100 50.3574 9.40
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 -0.1589

Taille de position = 8 / -0.1589 = -50.35

Taille de position USD = -50.35 x 18.667 = -939.88

Donc, tu peux acheter -50.35 avec un stoploss a 18.5081

Avec un position size USD de -939.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -50.35 x -0.1589 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -50.35 x -0.2383 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -50.35
  • Taille de position USD -939.88
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.4997

📌 Peformances

TP % Target TP $ Target
1.28 % 12 $
SL % Target SL $ Target
0.85 % 8 $
PNL PNL %
12.08 $ 1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.23031601499734 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 18.99
            [stop_loss] => 18.51
            [rr_ratio] => 2
            [closed_at] => 2025-04-22 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 19.07
            [stop_loss] => 18.51
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-22 23:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 19.15
            [stop_loss] => 18.51
            [rr_ratio] => 3
            [closed_at] => 2025-04-23 00:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 19.23
            [stop_loss] => 18.51
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-23 00:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.393
            [max_drawdown] => 0.040000000000003
            [rr_ratio] => 9.82
            [high] => 19.06000000
            [low] => 18.62700000
            [mfe_pct] => 2.11
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 9.82
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T20:52:41-04:00
            [end_at] => 2025-04-22T22:52:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.597
            [max_drawdown] => 0.040000000000003
            [rr_ratio] => 14.92
            [high] => 19.26400000
            [low] => 18.62700000
            [mfe_pct] => 3.2
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 14.92
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T20:52:41-04:00
            [end_at] => 2025-04-23T02:52:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 19.32200000
            [high_after] => 19.26400000
            [low_before] => 18.57800000
            [low_after] => 18.62700000
            [is_new_high] => 
            [is_new_low] => 
        )

)