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Trade

buy - DRIFT

Status
win
2025-05-29 23:48:16
2 hours
PNL
2.55
Entry: 0.7185
Last: 0.73680000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.5121
Prediction 1 Accuracy
Weak Trade
0.78
Prediction 2 Accuracy
0 0.5
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.008136271465
Details
  1. score: 2.02
  2. 1H: ema9 - 0.717181
  3. 1H: ema21 - 0.711502
  4. 1H: ema50 - 0.695163
  5. 1H: ema100 - 0.675032
  6. 1H: price_ema9_diff - 0.00183846
  7. 1H: ema9_ema21_diff - 0.00798179
  8. 1H: ema21_ema50_diff - 0.0235032
  9. 1H: price_ema100_diff - 0.0643935
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.541628
  13. 1H: kc_percentage - 0.575677
  14. 1H: kc_width_percentage - 0.119378
    15. ¸
  15. 15m: ema9 - 0.73298
  16. 15m: ema21 - 0.725914
  17. 15m: ema50 - 0.718664
  18. 15m: ema100 - 0.714975
  19. 15m: price_ema9_diff - -0.0197558
  20. 15m: ema9_ema21_diff - 0.00973443
  21. 15m: ema21_ema50_diff - 0.0100876
  22. 15m: price_ema100_diff - 0.00492915
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.471873
  26. 15m: kc_percentage - 0.356153
  27. 15m: kc_width_percentage - 0.0763515
    28. ¸
  28. 5m: ema9 - 0.736144
  29. 5m: ema21 - 0.73586
  30. 5m: ema50 - 0.728248
  31. 5m: ema100 - 0.719622
  32. 5m: price_ema9_diff - -0.023969
  33. 5m: ema9_ema21_diff - 0.000386683
  34. 5m: ema21_ema50_diff - 0.0104525
  35. 5m: price_ema100_diff - -0.00155946
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.389791
  39. 5m: kc_percentage - -0.0182967
  40. 5m: kc_width_percentage - 0.0472591
    41. ¸

Long Trade on DRIFT

The 29 May 2025 at 23:48:16

With 471 DRIFT at 0.7185$ per unit.

Take profit at 0.7368 (2.5 %) and Stop Loss at 0.7063 (1.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46.33 %

Symbol Start at Seach Score Trade Score Trades Count
TRB 2025-05-30 02:04:22 0.7595 -100 1
SEI 2025-05-21 13:34:38 0.745 -100 3
LUCE 2025-04-16 07:02:00 0.7477 -100 1
BNB 2025-05-06 16:42:55 0.7312 36.67 3
TON 2025-05-21 13:20:58 0.7263 -100 1
BGB 2025-05-21 13:30:01 0.7238 30 1
TRX 2025-05-15 14:50:26 0.7197 30 1
VIRTUAL 2025-05-21 13:31:02 0.7174 -100 1
FARTCOIN 2025-05-21 13:31:39 0.7126 40 1
AAVE 2025-04-28 05:54:30 0.7097 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
23:48:16		 30 May 2025
02:05:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7185 0.7063 0.7368 1.5 0.4898
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 0.7185
  • Stop Loss: 0.7063
  • Take Profit: 0.7368

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7063 - 0.7185 = -0.0122

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7185 - 0.7368 = -0.0183

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0183 / -0.0122 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
471 100 655.5 4.71
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 -0.0122

Taille de position = 8 / -0.0122 = -655.74

Taille de position USD = -655.74 x 0.7185 = -471.15

Donc, tu peux acheter -655.74 avec un stoploss a 0.7063

Avec un position size USD de -471.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -655.74 x -0.0122 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -655.74 x -0.0183 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -655.74
  • Taille de position USD -471.15
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.5 % 12 $
SL % Target SL $ Target
1.7 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.55 -0.45929018789145

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7429
            [stop_loss] => 0.7063
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.749
            [stop_loss] => 0.7063
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.7551
            [stop_loss] => 0.7063
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.7612
            [stop_loss] => 0.7063
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.7673
            [stop_loss] => 0.7063
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.7734
            [stop_loss] => 0.7063
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.7795
            [stop_loss] => 0.7063
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 02:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)