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Trade

buy - APE

Status
win
2025-05-29 08:44:14
25 minutes
PNL
0.67
Entry: 0.7187
Last: 0.72350000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.363
Prediction 1 Accuracy
Strong Trade
0.59
Prediction 2 Accuracy
0 0.35
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.002124368613
Details
  1. score: 2.08
  2. 1H: ema9 - 0.724041
  3. 1H: ema21 - 0.718433
  4. 1H: ema50 - 0.705282
  5. 1H: ema100 - 0.687673
  6. 1H: price_ema9_diff - -0.00737753
  7. 1H: ema9_ema21_diff - 0.00780669
  8. 1H: ema21_ema50_diff - 0.0186457
  9. 1H: price_ema100_diff - 0.0451187
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.52383
  13. 1H: kc_percentage - 0.493941
  14. 1H: kc_width_percentage - 0.0509976
    15. ¸
  15. 15m: ema9 - 0.723934
  16. 15m: ema21 - 0.725408
  17. 15m: ema50 - 0.72296
  18. 15m: ema100 - 0.717342
  19. 15m: price_ema9_diff - -0.0072305
  20. 15m: ema9_ema21_diff - -0.00203217
  21. 15m: ema21_ema50_diff - 0.00338671
  22. 15m: price_ema100_diff - 0.00189178
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.369184
  26. 15m: kc_percentage - 0.0508138
  27. 15m: kc_width_percentage - 0.0207014
    28. ¸
  28. 5m: ema9 - 0.722219
  29. 5m: ema21 - 0.723849
  30. 5m: ema50 - 0.725424
  31. 5m: ema100 - 0.725827
  32. 5m: price_ema9_diff - -0.00487285
  33. 5m: ema9_ema21_diff - -0.00225202
  34. 5m: ema21_ema50_diff - -0.00217144
  35. 5m: price_ema100_diff - -0.00982009
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.314177
  39. 5m: kc_percentage - -0.0756156
  40. 5m: kc_width_percentage - 0.0122081
    41. ¸

Long Trade on APE

The 29 May 2025 at 08:44:14

With 1804 APE at 0.7187$ per unit.

Take profit at 0.7235 (0.67 %) and Stop Loss at 0.7155 (0.45 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -64.81 %

Symbol Start at Seach Score Trade Score Trades Count
ZEREBRO 2025-04-28 18:16:32 0.9555 30 1
ENS 2025-05-29 08:25:55 0.9459 -100 1
GOAT 2025-05-26 06:43:29 0.9393 -100 2
PNUT 2025-05-29 08:20:32 0.9405 -100 1
FET 2025-04-24 22:29:07 0.9364 -43.33 3
ALCH 2025-04-11 20:02:13 0.936 -100 1
AAVE 2025-04-12 22:10:29 0.9342 -100 3
TRB 2025-05-29 16:30:52 0.9357 30 1
BCH 2025-05-29 07:43:47 0.9348 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
08:44:14		 29 May 2025
09:10:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7187 0.7155 0.7235 1.5 0.7125
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 0.7187
  • Stop Loss: 0.7155
  • Take Profit: 0.7235

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7155 - 0.7187 = -0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7187 - 0.7235 = -0.0048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0048 / -0.0032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1804 100 2511 18.04
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 -0.0032

Taille de position = 8 / -0.0032 = -2500

Taille de position USD = -2500 x 0.7187 = -1796.75

Donc, tu peux acheter -2500 avec un stoploss a 0.7155

Avec un position size USD de -1796.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2500 x -0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2500 x -0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -2500
  • Taille de position USD -1796.75
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.67 % 12 $
SL % Target SL $ Target
0.45 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.67 -0.041742034228463

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7251
            [stop_loss] => 0.7155
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.7267
            [stop_loss] => 0.7155
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.7283
            [stop_loss] => 0.7155
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.7299
            [stop_loss] => 0.7155
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.7315
            [stop_loss] => 0.7155
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.7331
            [stop_loss] => 0.7155
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.7347
            [stop_loss] => 0.7155
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 09:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)