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Trade

buy - APE

Status
win
2025-06-02 23:58:17
51 minutes
PNL
0.75
Entry: 0.6923
Last: 0.69750000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.7364
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
2 0.41
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.002298722751
Details
  1. score: 2.02
  2. 1H: ema9 - 0.693152
  3. 1H: ema21 - 0.676392
  4. 1H: ema50 - 0.657013
  5. 1H: ema100 - 0.651492
  6. 1H: price_ema9_diff - -0.00122997
  7. 1H: ema9_ema21_diff - 0.0247787
  8. 1H: ema21_ema50_diff - 0.0294961
  9. 1H: price_ema100_diff - 0.0626362
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.654594
  13. 1H: kc_percentage - 0.851247
  14. 1H: kc_width_percentage - 0.060637
    15. ¸
  15. 15m: ema9 - 0.69762
  16. 15m: ema21 - 0.698662
  17. 15m: ema50 - 0.687846
  18. 15m: ema100 - 0.672012
  19. 15m: price_ema9_diff - -0.00762606
  20. 15m: ema9_ema21_diff - -0.00149133
  21. 15m: ema21_ema50_diff - 0.0157243
  22. 15m: price_ema100_diff - 0.0301893
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.427678
  26. 15m: kc_percentage - 0.151834
  27. 15m: kc_width_percentage - 0.0271671
    28. ¸
  28. 5m: ema9 - 0.694178
  29. 5m: ema21 - 0.69699
  30. 5m: ema50 - 0.699598
  31. 5m: ema100 - 0.696149
  32. 5m: price_ema9_diff - -0.00270558
  33. 5m: ema9_ema21_diff - -0.00403448
  34. 5m: ema21_ema50_diff - -0.00372901
  35. 5m: price_ema100_diff - -0.00552916
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.288783
  39. 5m: kc_percentage - -0.0174521
  40. 5m: kc_width_percentage - 0.0124914
    41. ¸

Long Trade on APE

The 02 Jun 2025 at 23:58:17

With 1606 APE at 0.6923$ per unit.

Take profit at 0.6975 (0.75 %) and Stop Loss at 0.6889 (0.49 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 15.71 %

Symbol Start at Seach Score Trade Score Trades Count
MASK 2025-05-26 19:24:53 0.9771 50 1
CRV 2025-04-22 17:05:49 0.9729 10 2
IO 2025-05-22 08:15:15 0.9736 30 1
LINK 2025-04-23 11:25:38 0.9731 50 2
TUT 2025-06-01 04:07:51 0.9706 -100 1
AIXBT 2025-05-27 18:50:20 0.9703 40 1
FET 2025-05-13 22:08:27 0.9699 30 1

📌 Time Data

Start at Closed at Duration
02 Jun 2025
23:58:17		 03 Jun 2025
00:50:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6923 0.6889 0.6975 1.5 0.7374
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 0.6923
  • Stop Loss: 0.6889
  • Take Profit: 0.6975

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6889 - 0.6923 = -0.0034000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6923 - 0.6975 = -0.0052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0052 / -0.0034000000000001 = 1.5294

📌 Position Size

Amount Margin Quantity Leverage
1606 100 2320 16.06
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 -0.0034000000000001

Taille de position = 8 / -0.0034000000000001 = -2352.94

Taille de position USD = -2352.94 x 0.6923 = -1628.94

Donc, tu peux acheter -2352.94 avec un stoploss a 0.6889

Avec un position size USD de -1628.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2352.94 x -0.0034000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2352.94 x -0.0052 = 12.24

Si Take Profit atteint, tu gagneras 12.24$

Résumé

  • Taille de position -2352.94
  • Taille de position USD -1628.94
  • Perte potentielle 8
  • Gain potentiel 12.24
  • Risk-Reward Ratio 1.5294

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.49 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.75 -0.37555972844143

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6991
            [stop_loss] => 0.6889
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 01:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.7008
            [stop_loss] => 0.6889
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.7025
            [stop_loss] => 0.6889
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.7042
            [stop_loss] => 0.6889
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.7059
            [stop_loss] => 0.6889
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.7076
            [stop_loss] => 0.6889
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.7093
            [stop_loss] => 0.6889
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 01:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)