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Trade

buy - HUMA

Status
win
2025-06-06 11:12:25
1 hour
PNL
2.26
Entry: 0.04469
Last: 0.04570000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.0125
Prediction 1 Accuracy
Weak Trade
0.83
Prediction 2 Accuracy
0 0.68
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0004503485556
Details
  1. score: 2.12
  2. 1H: ema9 - 0.0448399
  3. 1H: ema21 - 0.0432368
  4. 1H: ema50 - 0.0416203
  5. 1H: ema100 - 0.0407902
  6. 1H: price_ema9_diff - -0.00334513
  7. 1H: ema9_ema21_diff - 0.0370792
  8. 1H: ema21_ema50_diff - 0.0388386
  9. 1H: price_ema100_diff - 0.0956054
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.624519
  13. 1H: kc_percentage - 0.738325
  14. 1H: kc_width_percentage - 0.126612
    15. ¸
  15. 15m: ema9 - 0.04581
  16. 15m: ema21 - 0.0456275
  17. 15m: ema50 - 0.0443545
  18. 15m: ema100 - 0.0429316
  19. 15m: price_ema9_diff - -0.0244488
  20. 15m: ema9_ema21_diff - 0.0039988
  21. 15m: ema21_ema50_diff - 0.0287009
  22. 15m: price_ema100_diff - 0.040958
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.432212
  26. 15m: kc_percentage - 0.203863
  27. 15m: kc_width_percentage - 0.0737947
    28. ¸
  28. 5m: ema9 - 0.0454288
  29. 5m: ema21 - 0.0458127
  30. 5m: ema50 - 0.0458386
  31. 5m: ema100 - 0.0452314
  32. 5m: price_ema9_diff - -0.016264
  33. 5m: ema9_ema21_diff - -0.00837901
  34. 5m: ema21_ema50_diff - -0.000566331
  35. 5m: price_ema100_diff - -0.0119707
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.292401
  39. 5m: kc_percentage - -0.118593
  40. 5m: kc_width_percentage - 0.0399478
    41. ¸

Long Trade on HUMA

The 06 Jun 2025 at 11:12:25

With 529.2 HUMA at 0.04469$ per unit.

Take profit at 0.0457 (2.3 %) and Stop Loss at 0.04401 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.19 %

Symbol Start at Seach Score Trade Score Trades Count
HYPE 2025-05-22 03:23:00 0.9778 40 1
PARTI 2025-05-29 19:50:20 0.9743 2.5 4
CRV 2025-04-22 16:01:47 0.9719 -100 2
TRB 2025-05-29 10:18:46 0.9739 60 1
APT 2025-05-11 01:29:39 0.9712 -100 1
EOS 2025-05-10 06:52:29 0.9693 -100 2
SOL 2025-04-22 15:41:17 0.9693 100 1
WCT 2025-05-27 19:08:44 0.9693 40 1

📌 Time Data

Start at Closed at Duration
06 Jun 2025
11:12:25		 06 Jun 2025
12:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04469 0.04401 0.0457 1.5 0.05265
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 0.04469
  • Stop Loss: 0.04401
  • Take Profit: 0.0457

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04401 - 0.04469 = -0.00068

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04469 - 0.0457 = -0.00101

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00101 / -0.00068 = 1.4853

📌 Position Size

Amount Margin Quantity Leverage
529.2 100 11840 5.29
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 -0.00068

Taille de position = 8 / -0.00068 = -11764.71

Taille de position USD = -11764.71 x 0.04469 = -525.76

Donc, tu peux acheter -11764.71 avec un stoploss a 0.04401

Avec un position size USD de -525.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11764.71 x -0.00068 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11764.71 x -0.00101 = 11.88

Si Take Profit atteint, tu gagneras 11.88$

Résumé

  • Taille de position -11764.71
  • Taille de position USD -525.76
  • Perte potentielle 8
  • Gain potentiel 11.88
  • Risk-Reward Ratio 1.4853

📌 Peformances

TP % Target TP $ Target
2.3 % 12 $
SL % Target SL $ Target
1.5 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.26 -1.3649586037145

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04605
            [stop_loss] => 0.04401
            [rr_ratio] => 2
            [closed_at] => 2025-06-06 12:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.04639
            [stop_loss] => 0.04401
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-06 12:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04673
            [stop_loss] => 0.04401
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 12:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.04707
            [stop_loss] => 0.04401
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 15:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04741
            [stop_loss] => 0.04401
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 15:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.04775
            [stop_loss] => 0.04401
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 15:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04809
            [stop_loss] => 0.04401
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 15:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)