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Trade

buy - IO

Status
win
2025-06-03 00:58:41
1 minute
PNL
0.70
Entry: 0.8374
Last: 0.84330000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.0683
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.45
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002608993669
Details
  1. score: 2.12
  2. 1H: ema9 - 0.840862
  3. 1H: ema21 - 0.829422
  4. 1H: ema50 - 0.824107
  5. 1H: ema100 - 0.832162
  6. 1H: price_ema9_diff - -0.00411732
  7. 1H: ema9_ema21_diff - 0.013792
  8. 1H: ema21_ema50_diff - 0.00644915
  9. 1H: price_ema100_diff - 0.00629343
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.551045
  13. 1H: kc_percentage - 0.622169
  14. 1H: kc_width_percentage - 0.0721273
    15. ¸
  15. 15m: ema9 - 0.844424
  16. 15m: ema21 - 0.845711
  17. 15m: ema50 - 0.836014
  18. 15m: ema100 - 0.825687
  19. 15m: price_ema9_diff - -0.00831884
  20. 15m: ema9_ema21_diff - -0.00152139
  21. 15m: ema21_ema50_diff - 0.0115989
  22. 15m: price_ema100_diff - 0.0141851
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.424254
  26. 15m: kc_percentage - 0.133403
  27. 15m: kc_width_percentage - 0.0277274
    28. ¸
  28. 5m: ema9 - 0.840273
  29. 5m: ema21 - 0.843685
  30. 5m: ema50 - 0.846982
  31. 5m: ema100 - 0.843781
  32. 5m: price_ema9_diff - -0.00342027
  33. 5m: ema9_ema21_diff - -0.00404345
  34. 5m: ema21_ema50_diff - -0.00389254
  35. 5m: price_ema100_diff - -0.00756265
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.308339
  39. 5m: kc_percentage - -0.117007
  40. 5m: kc_width_percentage - 0.0116781
    41. ¸

Long Trade on IO

The 03 Jun 2025 at 00:58:41

With 1712 IO at 0.8374$ per unit.

Take profit at 0.8433 (0.7 %) and Stop Loss at 0.8335 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 8.33 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-06-03 00:55:29 0.9821 45 2
INJ 2025-06-03 00:55:54 0.9778 40 2
DOT 2025-06-03 00:54:56 0.9738 40 2
COW 2025-05-29 04:08:32 0.9742 30 1
MOODENG 2025-03-26 11:14:56 0.9697 -100 1
AVAX 2025-06-03 00:57:22 0.9695 50 1
ADA 2025-06-03 00:56:50 0.9672 40 1
DOGE 2025-04-09 20:50:14 0.9649 -100 1
WLD 2025-05-22 18:07:54 0.9645 30 1

📌 Time Data

Start at Closed at Duration
03 Jun 2025
00:58:41		 03 Jun 2025
01:00:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8374 0.8335 0.8433 1.5 0.7292
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 0.8374
  • Stop Loss: 0.8335
  • Take Profit: 0.8433

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8335 - 0.8374 = -0.0039

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8374 - 0.8433 = -0.0059

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0059 / -0.0039 = 1.5128

📌 Position Size

Amount Margin Quantity Leverage
1712 100 2044 17.12
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 -0.0039

Taille de position = 8 / -0.0039 = -2051.28

Taille de position USD = -2051.28 x 0.8374 = -1717.74

Donc, tu peux acheter -2051.28 avec un stoploss a 0.8335

Avec un position size USD de -1717.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2051.28 x -0.0039 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2051.28 x -0.0059 = 12.1

Si Take Profit atteint, tu gagneras 12.1$

Résumé

  • Taille de position -2051.28
  • Taille de position USD -1717.74
  • Perte potentielle 8
  • Gain potentiel 12.1
  • Risk-Reward Ratio 1.5128

📌 Peformances

TP % Target TP $ Target
0.7 % 12 $
SL % Target SL $ Target
0.47 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.70 -0.02388344877

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8452
            [stop_loss] => 0.8335
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 01:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.84715
            [stop_loss] => 0.8335
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 01:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8491
            [stop_loss] => 0.8335
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.85105
            [stop_loss] => 0.8335
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 02:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.853
            [stop_loss] => 0.8335
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 02:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.85495
            [stop_loss] => 0.8335
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 02:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8569
            [stop_loss] => 0.8335
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 02:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)