Trade

buy - 1000000MOG

Status
win
2025-06-16 17:36:51
28 minutes
PNL
1.09
Entry: 1.008
Last: 1.01900000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.05
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 0.21

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.004806733713
Details
  1. score: 2.13
  2. 1H
  3. ema9 - 1.01347
  4. ema21 - 0.991447
  5. ema50 - 0.960618
  6. ema100 - 0.957445
  7. price_ema9_diff - -0.00539749
  8. ema9_ema21_diff - 0.0222131
  9. ema21_ema50_diff - 0.0320927
  10. price_ema100_diff - 0.0528011
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.597763
  14. kc_percentage - 0.668311
  15. kc_width_percentage - 0.0870615
  16. volume_ema_diff - -0.0849454
  17. ¸
  18. 15m
  19. ema9 - 1.01954
  20. ema21 - 1.01934
  21. ema50 - 1.007
  22. ema100 - 0.981584
  23. price_ema9_diff - -0.0113252
  24. ema9_ema21_diff - 0.000196949
  25. ema21_ema50_diff - 0.0122591
  26. price_ema100_diff - 0.0269106
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.451417
  30. kc_percentage - 0.203859
  31. kc_width_percentage - 0.0387718
  32. volume_ema_diff - -0.511432
  33. ¸
  34. 5m
  35. ema9 - 1.01508
  36. ema21 - 1.01932
  37. ema50 - 1.02046
  38. ema100 - 1.01618
  39. price_ema9_diff - -0.00697749
  40. ema9_ema21_diff - -0.00416534
  41. ema21_ema50_diff - -0.00111025
  42. price_ema100_diff - -0.00805378
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.332081
  46. kc_percentage - -0.127273
  47. kc_width_percentage - 0.0175739
  48. volume_ema_diff - -0.565937
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 107928
  53. 5m_price_ema100_diff: 0.00436432
  54. 5m_price: 108400
  55. 5m_correlation_with_coin: 0.777033
  56. btc_indicators
  57. 15m_ema100: 106933
  58. 15m_price_ema100_diff: 0.0144176
  59. 15m_price: 108475
  60. btc_indicators
  61. 1H_ema100: 106200
  62. 1H_price_ema100_diff: 0.0207144
  63. 1H_price: 108400
  64. ¸

Long Trade on 1000000MOG

The 16 Jun 2025 at 17:36:51

With 1109.5546 1000000MOG at 1.008$ per unit.

Position size of 1118.431 $

Take profit at 1.0188 (1.07 %) and Stop Loss at 1.0008 (0.71 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 27.88 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-07-10 06:10:53 0.8857 60 1
INJ 2025-08-13 21:03:46 0.8785 46.67 3
W 2025-07-10 06:03:10 0.8805 50 1
RENDER 2025-07-10 06:17:57 0.8778 -100 1
TON 2025-07-09 05:23:56 0.8768 30 1
TRX 2025-06-19 06:17:27 0.8762 40 2
NEIROCTO 2025-07-03 05:06:07 0.876 30 1
ALGO 2025-07-10 06:12:10 0.8746 40 1
LPT 2025-07-10 06:15:22 0.8725 30 1
ONDO 2025-07-10 06:16:00 0.8724 30 1
SYRUP 2025-06-16 14:12:32 0.8721 50 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
17:36:51
16 Jun 2025
18:05:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.008 1.0008 1.0188 1.5 1.1337
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 1.008
  • Stop Loss: 1.0008
  • Take Profit: 1.0188

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0008 - 1.008 = -0.0072000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.008 - 1.0188 = -0.0108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0108 / -0.0072000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1118.431 100 1109.5546 11.18
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 -0.0072000000000001

Taille de position = 8 / -0.0072000000000001 = -1111.11

Taille de position USD = -1111.11 x 1.008 = -1120

Donc, tu peux acheter -1111.11 avec un stoploss a 1.0008

Avec un position size USD de -1120$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1111.11 x -0.0072000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1111.11 x -0.0108 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1111.11
  • Taille de position USD -1120
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.07 % 11.98 $
SL % Target SL $ Target
0.71 % 7.99 $
PNL PNL %
12.21 $ 1.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.022
            [stop_loss] => 1.001
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 1.0255
            [stop_loss] => 1.001
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.029
            [stop_loss] => 1.001
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.0325
            [stop_loss] => 1.001
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.036
            [stop_loss] => 1.001
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.0395
            [stop_loss] => 1.001
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.043
            [stop_loss] => 1.001
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.0465
            [stop_loss] => 1.001
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.05
            [stop_loss] => 1.001
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.0535
            [stop_loss] => 1.001
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.057
            [stop_loss] => 1.001
            [rr_ratio] => 7
            [closed_at] => 2025-06-16 18:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0114
            [max_drawdown] => 0.069
            [rr_ratio] => 0.17
            [high] => 1.01940000
            [low] => 0.93900000
            [mfe_pct] => 1.13
            [mae_pct] => 6.85
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T17:36:51-04:00
            [end_at] => 2025-06-16T19:36:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0114
            [max_drawdown] => 0.0946
            [rr_ratio] => 0.12
            [high] => 1.01940000
            [low] => 0.91340000
            [mfe_pct] => 1.13
            [mae_pct] => 9.38
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T17:36:51-04:00
            [end_at] => 2025-06-16T23:36:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.04350000
            [high_after] => 1.01940000
            [low_before] => 1.00800000
            [low_after] => 0.91340000
            [is_new_high] => 
            [is_new_low] => 
        )

)