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Trade

sell - 1000000MOG

Status
win
2025-05-12 19:21:55
13 minutes
PNL
1.73
Entry: 1.097
Last: 1.07800000

Results

Status:
win
Trade Type:
sell
Prediction Score: 7.1188
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.008510740068
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 1.08467
  4. ema21 - 1.11746
  5. ema50 - 1.13225
  6. ema100 - 1.10738
  7. price_ema9_diff - 0.0113607
  8. ema9_ema21_diff - -0.0293441
  9. ema21_ema50_diff - -0.0130599
  10. price_ema100_diff - -0.00938016
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.457997
  14. kc_percentage - 0.398532
  15. kc_width_percentage - 0.167428
    16. ¸
  16. 15m
  17. ema9 - 1.07335
  18. ema21 - 1.07032
  19. ema50 - 1.09571
  20. ema100 - 1.11974
  21. price_ema9_diff - 0.0220251
  22. ema9_ema21_diff - 0.00283369
  23. ema21_ema50_diff - -0.0231682
  24. price_ema100_diff - -0.0203084
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.5992
  28. kc_percentage - 0.913972
  29. kc_width_percentage - 0.0599206
    30. ¸
  30. 5m
  31. ema9 - 1.08679
  32. ema21 - 1.07434
  33. ema50 - 1.06575
  34. ema100 - 1.07068
  35. price_ema9_diff - 0.00939161
  36. ema9_ema21_diff - 0.0115876
  37. ema21_ema50_diff - 0.00806249
  38. price_ema100_diff - 0.024582
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.692757
  42. kc_percentage - 1.13883
  43. kc_width_percentage - 0.0312483
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102487
  47. 5m_price_ema100_diff: 0.00569695
  48. 5m_price: 103071
  49. 5m_correlation_with_coin: 0.750005
  50. btc_indicators
  51. 15m_ema100: 103234
  52. 15m_price_ema100_diff: -0.00157978
  53. 15m_price: 103071
  54. btc_indicators
  55. 1H_ema100: 103411
  56. 1H_price_ema100_diff: -0.00328467
  57. 1H_price: 103071
    58. ¸

Short Trade on 1000000MOG

The 12 May 2025 at 19:21:55

With 626.6592 1000000MOG at 1.097$ per unit.

Position size of 687.4451 $

Take profit at 1.0779 (1.74 %) and Stop Loss at 1.1098 (1.17 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: 11.11 %

Symbol Start at Seach Score Trade Score Trades Count
RAY 2025-05-12 19:18:01 0.9737 -100 2
BERA 2025-05-12 19:23:29 0.9745 40 1
TURBO 2025-05-12 19:30:13 0.9695 30 1
WLD 2025-04-06 21:31:11 0.967 100 1
TAO 2025-04-06 21:46:41 0.9647 100 2
TON 2025-06-14 17:44:54 0.9634 -100 1
1000BONK 2025-05-26 18:15:05 0.9632 30 1
FIL 2025-04-06 21:30:36 0.9621 100 1
FIS 2025-05-02 01:09:09 0.9611 -100 1

📌 Time Data

Start at Closed at Duration
12 May 2025
19:21:55		 12 May 2025
19:35:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.097 1.1098 1.0779 1.49 1.1102
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 1.097
  • Stop Loss: 1.1098
  • Take Profit: 1.0779

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1098 - 1.097 = 0.0128

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.097 - 1.0779 = 0.0191

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0191 / 0.0128 = 1.4922

📌 Position Size

Amount Margin Quantity Leverage
687.4451 100 626.6592 6.87
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 0.0128

Taille de position = 8 / 0.0128 = 625

Taille de position USD = 625 x 1.097 = 685.63

Donc, tu peux acheter 625 avec un stoploss a 1.1098

Avec un position size USD de 685.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 625 x 0.0128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 625 x 0.0191 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 625
  • Taille de position USD 685.63
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4922

📌 Peformances

TP % Target TP $ Target
1.74 % 11.97 $
SL % Target SL $ Target
1.17 % 8.02 $
PNL PNL %
11.91 $ 1.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.071
            [stop_loss] => 1.11
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 19:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.0645
            [stop_loss] => 1.11
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 20:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.058
            [stop_loss] => 1.11
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 21:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.0515
            [stop_loss] => 1.11
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 21:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.045
            [stop_loss] => 1.11
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 21:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.0385
            [stop_loss] => 1.11
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 21:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.032
            [stop_loss] => 1.11
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 21:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.0255
            [stop_loss] => 1.11
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 23:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.019
            [stop_loss] => 1.11
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 23:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.0138
            [stop_loss] => 1.1098
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 00:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0445
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.09560000
            [low] => 1.05250000
            [mfe_pct] => 4.06
            [mae_pct] => -0.13
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T19:21:55-04:00
            [end_at] => 2025-05-12T21:21:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0832
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.09560000
            [low] => 1.01380000
            [mfe_pct] => 7.58
            [mae_pct] => -0.13
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T19:21:55-04:00
            [end_at] => 2025-05-13T01:21:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.09970000
            [high_after] => 1.09560000
            [low_before] => 1.03600000
            [low_after] => 1.01380000
            [is_new_high] => 
            [is_new_low] => 1
        )

)