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Trade

buy - KAVA

Status
win
2025-05-26 01:14:21
50 minutes
PNL
0.33
Entry: 0.4193
Last: 0.42070000

Results

Status:
win
Trade Type:
buy
Prediction Score: -3.6847
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.56
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0006106457077
Details
  1. score: 2.05
  2. 1H: ema9 - 0.42002
  3. 1H: ema21 - 0.417607
  4. 1H: ema50 - 0.417166
  5. 1H: ema100 - 0.420409
  6. 1H: price_ema9_diff - -0.00171572
  7. 1H: ema9_ema21_diff - 0.0057775
  8. 1H: ema21_ema50_diff - 0.00105906
  9. 1H: price_ema100_diff - -0.00263828
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.551526
  13. 1H: kc_percentage - 0.596339
  14. 1H: kc_width_percentage - 0.0382335
    15. ¸
  15. 15m: ema9 - 0.420652
  16. 15m: ema21 - 0.421236
  17. 15m: ema50 - 0.419569
  18. 15m: ema100 - 0.416564
  19. 15m: price_ema9_diff - -0.00321486
  20. 15m: ema9_ema21_diff - -0.00138682
  21. 15m: ema21_ema50_diff - 0.00397395
  22. 15m: price_ema100_diff - 0.00656705
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.426326
  26. 15m: kc_percentage - 0.177219
  27. 15m: kc_width_percentage - 0.0143723
    28. ¸
  28. 5m: ema9 - 0.419854
  29. 5m: ema21 - 0.420548
  30. 5m: ema50 - 0.421364
  31. 5m: ema100 - 0.421424
  32. 5m: price_ema9_diff - -0.00131962
  33. 5m: ema9_ema21_diff - -0.00165095
  34. 5m: ema21_ema50_diff - -0.00193703
  35. 5m: price_ema100_diff - -0.00504106
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.344196
  39. 5m: kc_percentage - -0.0503149
  40. 5m: kc_width_percentage - 0.00518127
    41. ¸

Long Trade on KAVA

The 26 May 2025 at 01:14:21

With 3662 KAVA at 0.4193$ per unit.

Take profit at 0.4207 (0.33 %) and Stop Loss at 0.4184 (0.21 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -24.86 %

Symbol Start at Seach Score Trade Score Trades Count
TRX 2025-05-08 23:43:59 0.9466 -44 5
DARK 2025-05-02 13:02:35 0.9367 30 1
PROMPT 2025-04-30 09:35:43 0.9299 -100 2
T 2025-04-18 11:11:33 0.9265 100 1
WLD 2025-05-07 07:04:08 0.9249 -100 2
APE 2025-05-14 00:15:10 0.9219 40 1
DEEP 2025-05-08 23:32:36 0.9214 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
01:14:21		 26 May 2025
02:05:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4193 0.4184 0.4207 1.6 0.4291
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 0.4193
  • Stop Loss: 0.4184
  • Take Profit: 0.4207

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4184 - 0.4193 = -0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4193 - 0.4207 = -0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0014 / -0.00090000000000001 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
3662 100 8734 36.62
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 -0.00090000000000001

Taille de position = 8 / -0.00090000000000001 = -8888.89

Taille de position USD = -8888.89 x 0.4193 = -3727.11

Donc, tu peux acheter -8888.89 avec un stoploss a 0.4184

Avec un position size USD de -3727.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position -8888.89
  • Taille de position USD -3727.11
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.33 % 12 $
SL % Target SL $ Target
0.21 % 7.9 $
RR PNL PNL % Max Drawdown
1.6 12 $ 0.33 -0.071547817791563

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4211
            [stop_loss] => 0.4184
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 03:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.42155
            [stop_loss] => 0.4184
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 03:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.422
            [stop_loss] => 0.4184
            [rr_ratio] => 3
            [closed_at] => 2025-05-26 03:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.42245
            [stop_loss] => 0.4184
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-26 03:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4229
            [stop_loss] => 0.4184
            [rr_ratio] => 4
            [closed_at] => 2025-05-26 03:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.42335
            [stop_loss] => 0.4184
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-26 03:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.4238
            [stop_loss] => 0.4184
            [rr_ratio] => 5
            [closed_at] => 2025-05-26 06:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)