Trade

buy - 1000BONK

Status
win
2025-04-26 04:11:34
33 minutes
PNL
1.82
Entry: 0.01867
Last: 0.01901000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.843
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 80

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0001530812424
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.0189772
  4. ema21 - 0.0182186
  5. ema50 - 0.0169344
  6. price_ema9_diff - -0.0168622
  7. ema9_ema21_diff - 0.0416365
  8. ema21_ema50_diff - 0.0758338
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.571615
  12. kc_percentage - 0.632302
  13. kc_width_percentage - 0.157153
  14. ¸
  15. 15m
  16. ema9 - 0.0190426
  17. ema21 - 0.0192668
  18. ema50 - 0.0188496
  19. price_ema9_diff - -0.0193394
  20. ema9_ema21_diff - -0.0116384
  21. ema21_ema50_diff - 0.022135
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.407478
  25. kc_percentage - 0.0450966
  26. kc_width_percentage - 0.0699364
  27. ¸
  28. 5m
  29. ema9 - 0.0187416
  30. ema21 - 0.0189933
  31. ema50 - 0.0192901
  32. price_ema9_diff - -0.00377304
  33. ema9_ema21_diff - -0.0132498
  34. ema21_ema50_diff - -0.0153895
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.319523
  38. kc_percentage - -0.00153222
  39. kc_width_percentage - 0.032808
  40. ¸

Long Trade on 1000BONK

The 26 Apr 2025 at 04:11:34

With 34840 1000BONK at 0.01867$ per unit.

Position size of 650.5 $

Take profit at 0.01901 (1.8 %) and Stop Loss at 0.01844 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 16 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-04-12 20:40:11 0.9806 -100 1
ETH 2025-04-09 23:32:54 0.9794 38 5
BTC 2025-04-09 23:32:52 0.979 66 5
UNI 2025-04-09 23:34:06 0.9784 60 1

📌 Time Data

Start at Closed at Duration
26 Apr 2025
04:11:34
26 Apr 2025
04:45:00
33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01867 0.01844 0.01901 1.5 0.01786
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 0.01867
  • Stop Loss: 0.01844
  • Take Profit: 0.01901

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01844 - 0.01867 = -0.00023

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01867 - 0.01901 = -0.00034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00034 / -0.00023 = 1.4783

📌 Position Size

Amount Margin Quantity Leverage
650.5 100 34840 6.50
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 -0.00023

Taille de position = 8 / -0.00023 = -34782.61

Taille de position USD = -34782.61 x 0.01867 = -649.39

Donc, tu peux acheter -34782.61 avec un stoploss a 0.01844

Avec un position size USD de -649.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -34782.61 x -0.00023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -34782.61 x -0.00034 = 11.83

Si Take Profit atteint, tu gagneras 11.83$

Résumé

  • Taille de position -34782.61
  • Taille de position USD -649.39
  • Perte potentielle 8
  • Gain potentiel 11.83
  • Risk-Reward Ratio 1.4783

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 8 $
PNL PNL %
12 $ 1.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.33743974290306 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01913
            [stop_loss] => 0.01844
            [rr_ratio] => 2
            [closed_at] => 2025-04-26 05:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.019245
            [stop_loss] => 0.01844
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-26 05:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01936
            [stop_loss] => 0.01844
            [rr_ratio] => 3
            [closed_at] => 2025-04-26 05:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.019475
            [stop_loss] => 0.01844
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-26 05:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01959
            [stop_loss] => 0.01844
            [rr_ratio] => 4
            [closed_at] => 2025-04-26 05:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.019705
            [stop_loss] => 0.01844
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01982
            [stop_loss] => 0.01844
            [rr_ratio] => 5
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.019935
            [stop_loss] => 0.01844
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.02005
            [stop_loss] => 0.01844
            [rr_ratio] => 6
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.020165
            [stop_loss] => 0.01844
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02028
            [stop_loss] => 0.01844
            [rr_ratio] => 7
            [closed_at] => 2025-04-26 07:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)