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Trade

buy - HYPE

Status
win
2025-03-31 18:24:04
15 minutes
PNL
0.75
Entry: 12.92
Last: 13.01950000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0433164
Details
  1. score: 2.21
  2. long_trend_details
  3. ema9 - 13.0233
  4. ema21 - 12.8764
  5. ema50 - 12.8456
  6. ema9_ema21_diff - 1.14152
  7. ema21_ema50_diff - 0.239138
  8. ema9_ema50_diff - 1.38339
  9. price_ema21_diff - 0.35413
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Long Trade on HYPE

The 31 Mar 2025 at 18:24:04

With 123.1 HYPE at 12.92$ per unit.

Position size of 1591 $

Take profit at 13.02 (0.77 %) and Stop Loss at 12.86 (0.46 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: 8.33 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-10 00:47:35 0.9514 -25 2
COMP 2025-06-06 09:23:55 0.9394 -100 1
BCH 2025-05-07 02:33:12 0.9386 60 2
RENDER 2025-06-10 00:35:58 0.9393 30 1
LTC 2025-04-09 20:49:48 0.9381 55 2
ONDO 2025-06-10 00:43:28 0.9389 45 2
TRUMP 2025-06-10 00:37:07 0.9387 30 1
UXLINK 2025-04-10 02:08:25 0.9386 80 1
OGN 2025-06-29 11:48:56 0.9377 -100 1

📌 Time Data

Start at Closed at Duration
31 Mar 2025
18:24:04		 31 Mar 2025
18:40:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
12.92 12.86 13.02 1.7 39.7
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 12.92
  • Stop Loss: 12.86
  • Take Profit: 13.02

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 12.86 - 12.92 = -0.06

  • Récompense (distance jusqu'au take profit):

    E - TP = 12.92 - 13.02 = -0.1

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1 / -0.06 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1591 1591 123.1 15.91
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 -0.06

Taille de position = 8 / -0.06 = -133.33

Taille de position USD = -133.33 x 12.92 = -1722.62

Donc, tu peux acheter -133.33 avec un stoploss a 12.86

Avec un position size USD de -1722.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -133.33 x -0.06 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -133.33 x -0.1 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -133.33
  • Taille de position USD -1722.62
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.77 % 12 $
SL % Target SL $ Target
0.46 % 7.4 $
PNL PNL %
12 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 13.04
            [stop_loss] => 12.86
            [rr_ratio] => 2
            [closed_at] => 2025-03-31 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 13.07
            [stop_loss] => 12.86
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-31 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 13.1
            [stop_loss] => 12.86
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 13.13
            [stop_loss] => 12.86
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 13.16
            [stop_loss] => 12.86
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 13.19
            [stop_loss] => 12.86
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 13.22
            [stop_loss] => 12.86
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 13.25
            [stop_loss] => 12.86
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 13.28
            [stop_loss] => 12.86
            [rr_ratio] => 6
            [closed_at] => 2025-03-31 22:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 13.31
            [stop_loss] => 12.86
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-31 22:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 13.34
            [stop_loss] => 12.86
            [rr_ratio] => 7
            [closed_at] => 2025-03-31 22:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)