Trade

buy - ONDO

Status
win
2025-05-26 06:55:35
1 hour
PNL
0.64
Entry: 0.951
Last: 0.95710000

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.5824
Prediction 1 Accuracy
Weak Trade
0.5
Prediction 2 Accuracy
2 0.38
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002708786427
Details
  1. score: 2.12
  2. 1H: ema9 - 0.956281
  3. 1H: ema21 - 0.948779
  4. 1H: ema50 - 0.948454
  5. 1H: ema100 - 0.960795
  6. 1H: price_ema9_diff - -0.00552295
  7. 1H: ema9_ema21_diff - 0.007907
  8. 1H: ema21_ema50_diff - 0.000342589
  9. 1H: price_ema100_diff - -0.010195
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.526521
  13. 1H: kc_percentage - 0.541877
  14. 1H: kc_width_percentage - 0.0450325
  15. ¸
  16. 15m: ema9 - 0.958323
  17. 15m: ema21 - 0.959257
  18. 15m: ema50 - 0.95346
  19. 15m: ema100 - 0.944077
  20. 15m: price_ema9_diff - -0.00764165
  21. 15m: ema9_ema21_diff - -0.00097414
  22. 15m: ema21_ema50_diff - 0.00608026
  23. 15m: price_ema100_diff - 0.00733204
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.373796
  27. 15m: kc_percentage - 0.0857786
  28. 15m: kc_width_percentage - 0.0211593
  29. ¸
  30. 5m: ema9 - 0.955173
  31. 5m: ema21 - 0.957788
  32. 5m: ema50 - 0.959634
  33. 5m: ema100 - 0.958532
  34. 5m: price_ema9_diff - -0.00436936
  35. 5m: ema9_ema21_diff - -0.00273067
  36. 5m: ema21_ema50_diff - -0.00192366
  37. 5m: price_ema100_diff - -0.00785796
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.324035
  41. 5m: kc_percentage - -0.12206
  42. 5m: kc_width_percentage - 0.0112047
  43. ¸

Long Trade on ONDO

The 26 May 2025 at 06:55:35

With 1872 ONDO at 0.951$ per unit.

Take profit at 0.9571 (0.64 %) and Stop Loss at 0.9469 (0.43 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -6.25 %

Symbol Start at Seach Score Trade Score Trades Count
LINK 2025-05-26 06:54:20 0.9843 -100 1
RENDER 2025-05-26 07:01:38 0.9807 60 1
IO 2025-05-26 06:55:47 0.9655 30 1
APT 2025-05-26 06:54:42 0.965 30 1
ADA 2025-05-26 06:54:13 0.9638 30 1
AI16Z 2025-05-26 07:46:43 0.9607 -35 2
PEPE 2025-05-26 06:55:11 0.9605 40 1
INJ 2025-05-26 07:00:48 0.9589 80 1
TRX 2025-04-26 18:30:24 0.9586 90 1
VIRTUAL 2025-05-27 16:47:54 0.9583 -100 2
FARTCOIN 2025-06-01 22:26:18 0.9582 -100 1
DOG 2025-05-18 13:56:07 0.958 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
06:55:35
26 May 2025
08:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.951 0.9469 0.9571 1.5 0.8331
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 0.951
  • Stop Loss: 0.9469
  • Take Profit: 0.9571

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9469 - 0.951 = -0.0041

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.951 - 0.9571 = -0.0061

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0061 / -0.0041 = 1.4878

📌 Position Size

Amount Margin Quantity Leverage
1872 100 1969 18.72
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 -0.0041

Taille de position = 8 / -0.0041 = -1951.22

Taille de position USD = -1951.22 x 0.951 = -1855.61

Donc, tu peux acheter -1951.22 avec un stoploss a 0.9469

Avec un position size USD de -1855.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1951.22 x -0.0041 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1951.22 x -0.0061 = 11.9

Si Take Profit atteint, tu gagneras 11.9$

Résumé

  • Taille de position -1951.22
  • Taille de position USD -1855.61
  • Perte potentielle 8
  • Gain potentiel 11.9
  • Risk-Reward Ratio 1.4878

📌 Peformances

TP % Target TP $ Target
0.64 % 12 $
SL % Target SL $ Target
0.43 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.64 -0.36803364879074

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.9592
            [stop_loss] => 0.9469
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.96125
            [stop_loss] => 0.9469
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.9633
            [stop_loss] => 0.9469
            [rr_ratio] => 3
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.96535
            [stop_loss] => 0.9469
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.9674
            [stop_loss] => 0.9469
            [rr_ratio] => 4
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.96945
            [stop_loss] => 0.9469
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.9715
            [stop_loss] => 0.9469
            [rr_ratio] => 5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)