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Trade

buy - 1000000MOG

Status
win
2025-06-16 06:51:40
53 minutes
PNL
1.25
Entry: 0.9916
Last: 1.00400000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.7533
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
1 0.51
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.005535034355
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 0.97585
  4. ema21 - 0.947414
  5. ema50 - 0.93169
  6. ema100 - 0.948087
  7. price_ema9_diff - 0.0161389
  8. ema9_ema21_diff - 0.030015
  9. ema21_ema50_diff - 0.016876
  10. price_ema100_diff - 0.0458951
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.684179
  14. kc_percentage - 0.983814
  15. kc_width_percentage - 0.0889083
  16. volume_ema_diff - 0.547689
    17. ¸
  17. 15m
  18. ema9 - 1.0017
  19. ema21 - 0.991943
  20. ema50 - 0.964505
  21. ema100 - 0.94065
  22. price_ema9_diff - -0.0100871
  23. ema9_ema21_diff - 0.00983994
  24. ema21_ema50_diff - 0.0284476
  25. price_ema100_diff - 0.0541637
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.532355
  29. kc_percentage - 0.468756
  30. kc_width_percentage - 0.0461708
  31. volume_ema_diff - -0.134997
    32. ¸
  32. 5m
  33. ema9 - 1.00124
  34. ema21 - 1.00375
  35. ema50 - 0.997212
  36. ema100 - 0.981541
  37. price_ema9_diff - -0.00963191
  38. ema9_ema21_diff - -0.00250548
  39. ema21_ema50_diff - 0.00656488
  40. price_ema100_diff - 0.0102478
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.350354
  44. kc_percentage - -0.0759222
  45. kc_width_percentage - 0.0212991
  46. volume_ema_diff - -0.0270888
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106615
  50. 5m_price_ema100_diff: 0.00137042
  51. 5m_price: 106761
  52. 5m_correlation_with_coin: 0.399344
  53. btc_indicators
  54. 15m_ema100: 105931
  55. 15m_price_ema100_diff: 0.0078464
  56. 15m_price: 106762
  57. btc_indicators
  58. 1H_ema100: 105823
  59. 1H_price_ema100_diff: 0.00886209
  60. 1H_price: 106761
    61. ¸

Long Trade on 1000000MOG

The 16 Jun 2025 at 06:51:40

With 963.6 1000000MOG at 0.9916$ per unit.

Position size of 955.5 $

Take profit at 1.004 (1.3 %) and Stop Loss at 0.9833 (0.84 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -59.17 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-06-16 06:50:51 0.9802 -80 1
ETH 2025-06-16 06:53:38 0.9758 -100 1
WLD 2025-04-26 01:26:19 0.968 60 2
WLD 2025-06-16 06:49:30 0.9703 -100 1
BTC 2025-06-16 06:53:26 0.9693 -100 1
SOL 2025-06-08 18:41:20 0.9692 -100 1
MUBARAK 2025-03-27 05:14:08 0.9675 -100 1
DUCK 2025-05-07 23:50:00 0.9672 50 1
PNUT 2025-06-07 05:19:47 0.9665 -100 1
AVAX 2025-06-16 06:51:30 0.9657 -100 2
ONDO 2025-06-16 06:50:22 0.9658 -70 1
MKR 2025-06-09 23:46:27 0.9655 30 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
06:51:40		 16 Jun 2025
07:45:00		 53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9916 0.9833 1.004 1.5 0.9698
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 0.9916
  • Stop Loss: 0.9833
  • Take Profit: 1.004

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9833 - 0.9916 = -0.0083000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9916 - 1.004 = -0.0124

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0124 / -0.0083000000000001 = 1.494

📌 Position Size

Amount Margin Quantity Leverage
955.5 100 963.6 9.55
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 -0.0083000000000001

Taille de position = 8 / -0.0083000000000001 = -963.86

Taille de position USD = -963.86 x 0.9916 = -955.76

Donc, tu peux acheter -963.86 avec un stoploss a 0.9833

Avec un position size USD de -955.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -963.86 x -0.0083000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -963.86 x -0.0124 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position -963.86
  • Taille de position USD -955.76
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.494

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.84 % 8 $
PNL PNL %
12 $ 1.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6051 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.0082
            [stop_loss] => 0.9833
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.01235
            [stop_loss] => 0.9833
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.0165
            [stop_loss] => 0.9833
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.02065
            [stop_loss] => 0.9833
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.0248
            [stop_loss] => 0.9833
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.02895
            [stop_loss] => 0.9833
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.0331
            [stop_loss] => 0.9833
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.03725
            [stop_loss] => 0.9833
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.0414
            [stop_loss] => 0.9833
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.04555
            [stop_loss] => 0.9833
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.0497
            [stop_loss] => 0.9833
            [rr_ratio] => 7
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)