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Trade

sell - AI16Z

Status
win
2025-05-31 00:56:59
1 hour
PNL
2.33
Entry: 0.206
Last: 0.20120000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1346
Prediction 1 Accuracy
Weak Trade
0.8
Prediction 2 Accuracy
0 0.71
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.002115218169
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 0.210016
  4. ema21 - 0.225022
  5. ema50 - 0.248242
  6. ema100 - 0.265935
  7. price_ema9_diff - -0.0191237
  8. ema9_ema21_diff - -0.0666872
  9. ema21_ema50_diff - -0.0935374
  10. price_ema100_diff - -0.225377
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.292594
  14. kc_percentage - -0.016521
  15. kc_width_percentage - 0.168495
    16. ¸
  16. 15m
  17. ema9 - 0.201091
  18. ema21 - 0.204159
  19. ema50 - 0.21502
  20. ema100 - 0.226897
  21. price_ema9_diff - 0.0244084
  22. ema9_ema21_diff - -0.0150257
  23. ema21_ema50_diff - -0.0505123
  24. price_ema100_diff - -0.0921002
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.489698
  28. kc_percentage - 0.644826
  29. kc_width_percentage - 0.0744225
    30. ¸
  30. 5m
  31. ema9 - 0.202195
  32. ema21 - 0.200573
  33. ema50 - 0.202302
  34. ema100 - 0.208575
  35. price_ema9_diff - 0.0188143
  36. ema9_ema21_diff - 0.00808727
  37. ema21_ema50_diff - -0.00854737
  38. price_ema100_diff - -0.0123493
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.679308
  42. kc_percentage - 1.14738
  43. kc_width_percentage - 0.040322
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103862
  47. 5m_price_ema100_diff: -0.000958242
  48. 5m_price: 103762
  49. 5m_correlation_with_coin: 0.731599
  50. btc_indicators
  51. 15m_ema100: 104628
  52. 15m_price_ema100_diff: -0.00827397
  53. 15m_price: 103762
  54. btc_indicators
  55. 1H_ema100: 106586
  56. 1H_price_ema100_diff: -0.0264939
  57. 1H_price: 103762
    58. ¸

Short Trade on AI16Z

The 31 May 2025 at 00:56:59

With 2521 AI16Z at 0.206$ per unit.

Position size of 519.4 $

Take profit at 0.2012 (2.3 %) and Stop Loss at 0.2092 (1.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -33.18 %

Symbol Start at Seach Score Trade Score Trades Count
GOAT 2025-05-31 01:01:04 0.9917 -35 2
MEW 2025-05-31 00:54:07 0.9916 -100 1
MELANIA 2025-05-31 00:57:38 0.9911 -100 1
BNB 2025-05-31 00:58:59 0.9899 -100 1
BOME 2025-05-31 00:57:38 0.9892 -100 2
WIF 2025-05-31 01:02:48 0.9885 40 1
RENDER 2025-05-31 00:54:49 0.9884 30 1
FLOKI 2025-05-31 01:00:45 0.9883 40 1
1000BONK 2025-05-31 00:51:38 0.9883 30 1
SUI 2025-05-31 01:00:57 0.9882 -100 1
SEI 2025-05-31 01:02:12 0.9881 30 1

📌 Time Data

Start at Closed at Duration
31 May 2025
00:56:59		 31 May 2025
02:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.206 0.2092 0.2012 1.5 0.1853
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 0.206
  • Stop Loss: 0.2092
  • Take Profit: 0.2012

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2092 - 0.206 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.206 - 0.2012 = 0.0048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
519.4 100 2521 5.19
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.206 = 515

Donc, tu peux acheter 2500 avec un stoploss a 0.2092

Avec un position size USD de 515$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2500
  • Taille de position USD 515
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.3 % 12 $
SL % Target SL $ Target
1.6 % 8.1 $
PNL PNL %
12 $ 2.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.29126213592234 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1996
            [stop_loss] => 0.2092
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.198
            [stop_loss] => 0.2092
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1964
            [stop_loss] => 0.2092
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1948
            [stop_loss] => 0.2092
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1932
            [stop_loss] => 0.2092
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1916
            [stop_loss] => 0.2092
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.19
            [stop_loss] => 0.2092
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1884
            [stop_loss] => 0.2092
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1868
            [stop_loss] => 0.2092
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1852
            [stop_loss] => 0.2092
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1836
            [stop_loss] => 0.2092
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 05:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)