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Trade

sell - AI16Z

Status
win
2025-06-17 15:33:16
1 hour
PNL
1.78
Entry: 0.1745
Last: 0.17140000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.6833
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
1 0.41
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.001364093412
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 0.173176
  4. ema21 - 0.177353
  5. ema50 - 0.180143
  6. ema100 - 0.179383
  7. price_ema9_diff - 0.00764445
  8. ema9_ema21_diff - -0.023555
  9. ema21_ema50_diff - -0.015487
  10. price_ema100_diff - -0.0272259
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.432233
  14. kc_percentage - 0.365788
  15. kc_width_percentage - 0.110721
  16. volume_ema_diff - 0.0861705
    17. ¸
  17. 15m
  18. ema9 - 0.171044
  19. ema21 - 0.171278
  20. ema50 - 0.17469
  21. ema100 - 0.179112
  22. price_ema9_diff - 0.0202018
  23. ema9_ema21_diff - -0.00136459
  24. ema21_ema50_diff - -0.0195347
  25. price_ema100_diff - -0.0257531
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.56304
  29. kc_percentage - 0.847227
  30. kc_width_percentage - 0.054847
  31. volume_ema_diff - 0.100262
    32. ¸
  32. 5m
  33. ema9 - 0.172763
  34. ema21 - 0.170527
  35. ema50 - 0.170361
  36. ema100 - 0.17194
  37. price_ema9_diff - 0.0100494
  38. ema9_ema21_diff - 0.013114
  39. ema21_ema50_diff - 0.000973738
  40. price_ema100_diff - 0.0148851
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.683222
  44. kc_percentage - 1.19239
  45. kc_width_percentage - 0.0320764
  46. volume_ema_diff - 0.721502
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104622
  50. 5m_price_ema100_diff: 0.00324855
  51. 5m_price: 104962
  52. 5m_correlation_with_coin: 0.697847
  53. btc_indicators
  54. 15m_ema100: 105996
  55. 15m_price_ema100_diff: -0.00975347
  56. 15m_price: 104962
  57. btc_indicators
  58. 1H_ema100: 105963
  59. 1H_price_ema100_diff: -0.00944379
  60. 1H_price: 104962
    61. ¸

Short Trade on AI16Z

The 17 Jun 2025 at 15:33:16

With 3910 AI16Z at 0.1745$ per unit.

Position size of 682.3 $

Take profit at 0.1714 (1.8 %) and Stop Loss at 0.1765 (1.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -43.46 %

Symbol Start at Seach Score Trade Score Trades Count
ARC 2025-06-17 15:33:42 0.9785 30 1
TAO 2025-06-17 15:27:59 0.9781 30 1
ETHFI 2025-06-17 15:27:29 0.9758 40 1
LPT 2025-06-17 15:26:44 0.9727 -100 1
ARB 2025-06-17 15:25:11 0.9726 30 1
RENDER 2025-06-17 15:32:03 0.9724 -35 2
ENA 2025-06-17 15:27:46 0.9721 -100 1
WIF 2025-06-17 15:27:16 0.9695 -100 1
GALA 2025-06-17 15:22:46 0.9691 -100 1
LDO 2025-06-17 15:24:20 0.9681 40 1
WLD 2025-06-17 15:26:29 0.968 -100 1
BRETT 2025-06-17 15:28:40 0.9672 -100 1
OP 2025-06-17 15:23:39 0.9669 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:33:16		 17 Jun 2025
16:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1745 0.1765 0.1714 1.5 0.1521
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 0.1745
  • Stop Loss: 0.1765
  • Take Profit: 0.1714

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1765 - 0.1745 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1745 - 0.1714 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.002 = 1.55

📌 Position Size

Amount Margin Quantity Leverage
682.3 100 3910 6.82
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.1745 = 698

Donc, tu peux acheter 4000 avec un stoploss a 0.1765

Avec un position size USD de 698$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0031 = 12.4

Si Take Profit atteint, tu gagneras 12.4$

Résumé

  • Taille de position 4000
  • Taille de position USD 698
  • Perte potentielle 8
  • Gain potentiel 12.4
  • Risk-Reward Ratio 1.55

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.1 % 7.8 $
PNL PNL %
12 $ 1.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.745 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1705
            [stop_loss] => 0.1765
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1695
            [stop_loss] => 0.1765
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 17:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1685
            [stop_loss] => 0.1765
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 18:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1675
            [stop_loss] => 0.1765
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 18:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1665
            [stop_loss] => 0.1765
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 18:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1655
            [stop_loss] => 0.1765
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 18:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1645
            [stop_loss] => 0.1765
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 18:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1635
            [stop_loss] => 0.1765
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 18:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1625
            [stop_loss] => 0.1765
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 18:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1615
            [stop_loss] => 0.1765
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 18:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1605
            [stop_loss] => 0.1765
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 18:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)