Web3Way

Trade

buy - APE

Status
win
2025-05-27 07:18:42
1 hour
PNL
0.64
Entry: 0.6847
Last: 0.68910000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.148
Prediction 1 Accuracy
Strong Trade
0.62
Prediction 2 Accuracy
2 0.6
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001956042907
Details
  1. score: 2.15
  2. 1H: ema9 - 0.680083
  3. 1H: ema21 - 0.671148
  4. 1H: ema50 - 0.662651
  5. 1H: ema100 - 0.662722
  6. 1H: price_ema9_diff - 0.00678753
  7. 1H: ema9_ema21_diff - 0.0133139
  8. 1H: ema21_ema50_diff - 0.0128229
  9. 1H: price_ema100_diff - 0.0331627
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.613261
  13. 1H: kc_percentage - 0.876012
  14. 1H: kc_width_percentage - 0.0505664
    15. ¸
  15. 15m: ema9 - 0.688961
  16. 15m: ema21 - 0.685458
  17. 15m: ema50 - 0.677199
  18. 15m: ema100 - 0.67228
  19. 15m: price_ema9_diff - -0.00618565
  20. 15m: ema9_ema21_diff - 0.00511061
  21. 15m: ema21_ema50_diff - 0.0121952
  22. 15m: price_ema100_diff - 0.0184744
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.523646
  26. 15m: kc_percentage - 0.421691
  27. 15m: kc_width_percentage - 0.0207661
    28. ¸
  28. 5m: ema9 - 0.689364
  29. 5m: ema21 - 0.689869
  30. 5m: ema50 - 0.687406
  31. 5m: ema100 - 0.682461
  32. 5m: price_ema9_diff - -0.00676669
  33. 5m: ema9_ema21_diff - -0.000731027
  34. 5m: ema21_ema50_diff - 0.00358218
  35. 5m: price_ema100_diff - 0.00328031
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.346472
  39. 5m: kc_percentage - -0.148176
  40. 5m: kc_width_percentage - 0.0117119
    41. ¸

Long Trade on APE

The 27 May 2025 at 07:18:42

With 1867 APE at 0.6847$ per unit.

Take profit at 0.6891 (0.64 %) and Stop Loss at 0.6818 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 21.88 %

Symbol Start at Seach Score Trade Score Trades Count
FIL 2025-05-13 20:07:40 0.96 40 1
1000BONK 2025-03-26 08:34:31 0.9598 30 1
BGB 2025-04-23 02:57:43 0.9568 -100 2
BGB 2025-05-23 04:24:45 0.954 30 2
WCT 2025-05-24 10:47:29 0.9576 -35 4
ZEREBRO 2025-04-23 02:43:39 0.9578 50 1
NEIROETH 2025-04-21 07:51:40 0.9559 100 1
WLD 2025-04-26 01:26:19 0.9541 60 2

📌 Time Data

Start at Closed at Duration
27 May 2025
07:18:42		 27 May 2025
08:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6847 0.6818 0.6891 1.5 0.684
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 0.6847
  • Stop Loss: 0.6818
  • Take Profit: 0.6891

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6818 - 0.6847 = -0.0029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6847 - 0.6891 = -0.0044000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0044000000000001 / -0.0029 = 1.5172

📌 Position Size

Amount Margin Quantity Leverage
1867 100 2727 18.67
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 -0.0029

Taille de position = 8 / -0.0029 = -2758.62

Taille de position USD = -2758.62 x 0.6847 = -1888.83

Donc, tu peux acheter -2758.62 avec un stoploss a 0.6818

Avec un position size USD de -1888.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2758.62 x -0.0029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2758.62 x -0.0044000000000001 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

  • Taille de position -2758.62
  • Taille de position USD -1888.83
  • Perte potentielle 8
  • Gain potentiel 12.14
  • Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target TP $ Target
0.64 % 12 $
SL % Target SL $ Target
0.42 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.64 -0.058419745874099

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6905
            [stop_loss] => 0.6818
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 08:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.69195
            [stop_loss] => 0.6818
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 09:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6934
            [stop_loss] => 0.6818
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 09:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.69485
            [stop_loss] => 0.6818
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 09:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6963
            [stop_loss] => 0.6818
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 09:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.69775
            [stop_loss] => 0.6818
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 09:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6992
            [stop_loss] => 0.6818
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 09:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)