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Trade

sell - IO

Status
loss
2025-05-25 15:32:30
22 minutes
PNL
-0.54
Entry: 0.9225
Last: 0.92750000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -1.7302
Prediction 1 Accuracy
Strong Trade
0.97
Prediction 2 Accuracy
2 0.93
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.003348846241
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.918778
  4. ema21 - 0.934905
  5. ema50 - 0.971154
  6. ema100 - 1.00166
  7. price_ema9_diff - 0.00405012
  8. ema9_ema21_diff - -0.0172499
  9. ema21_ema50_diff - -0.0373253
  10. price_ema100_diff - -0.0790324
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.396847
  14. kc_percentage - 0.328318
  15. kc_width_percentage - 0.0692758
    16. ¸
  16. 15m
  17. ema9 - 0.915324
  18. ema21 - 0.914703
  19. ema50 - 0.92251
  20. ema100 - 0.936862
  21. price_ema9_diff - 0.00783914
  22. ema9_ema21_diff - 0.000679013
  23. ema21_ema50_diff - -0.00846287
  24. price_ema100_diff - -0.0153302
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.579299
  28. kc_percentage - 0.804344
  29. kc_width_percentage - 0.0282336
    30. ¸
  30. 5m
  31. ema9 - 0.918036
  32. ema21 - 0.91552
  33. ema50 - 0.913949
  34. ema100 - 0.915269
  35. price_ema9_diff - 0.00486181
  36. ema9_ema21_diff - 0.00274862
  37. ema21_ema50_diff - 0.00171897
  38. price_ema100_diff - 0.00789958
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.648868
  42. kc_percentage - 1.03493
  43. kc_width_percentage - 0.0138201
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 107239
  47. 5m_price_ema100_diff: 0.00328775
  48. 5m_price: 107592
  49. 5m_correlation_with_coin: 0.757233
  50. btc_indicators
  51. 15m_ema100: 107676
  52. 15m_price_ema100_diff: -0.000782711
  53. 15m_price: 107592
  54. btc_indicators
  55. 1H_ema100: 108628
  56. 1H_price_ema100_diff: -0.00954377
  57. 1H_price: 107592
    58. ¸

Short Trade on IO

The 25 May 2025 at 15:32:30

With 1593 IO at 0.9225$ per unit.

Position size of 1469 $

Take profit at 0.915 (0.81 %) and Stop Loss at 0.9275 (0.54 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-05-25 15:33:47 0.9816 -100 1
ONDO 2025-05-25 15:32:19 0.9701 -100 3
PEPE 2025-05-25 15:31:31 0.9732 -100 1
PNUT 2025-05-25 15:33:34 0.9694 -100 1
GOAT 2025-05-25 15:29:39 0.9657 -100 2
POPCAT 2025-05-25 15:32:46 0.9611 -100 1
1000BONK 2025-05-25 15:39:02 0.9603 -100 1
HYPE 2025-06-20 22:21:09 0.9562 -100 1
DOT 2025-05-25 15:38:05 0.9559 -100 1
NXPC 2025-06-17 06:30:57 0.9556 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:32:30		 25 May 2025
15:55:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9225 0.9275 0.915 1.5 0.793
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 0.9225
  • Stop Loss: 0.9275
  • Take Profit: 0.915

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9275 - 0.9225 = 0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9225 - 0.915 = 0.0075

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0075 / 0.005 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1469 100 1593 14.69
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 0.005

Taille de position = 8 / 0.005 = 1600

Taille de position USD = 1600 x 0.9225 = 1476

Donc, tu peux acheter 1600 avec un stoploss a 0.9275

Avec un position size USD de 1476$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1600 x 0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1600 x 0.0075 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1600
  • Taille de position USD 1476
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.81 % 12 $
SL % Target SL $ Target
0.54 % 8 $
PNL PNL %
-8 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2249322493225 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.915
            [entry_price] => 0.9225
            [stop_loss] => 0.928
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-25 15:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.915
            [entry_price] => 0.9225
            [stop_loss] => 0.9285
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-25 15:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.915
            [entry_price] => 0.9225
            [stop_loss] => 0.929
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-25 15:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.915
            [entry_price] => 0.9225
            [stop_loss] => 0.93
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-25 15:55:00
            [result] => loss
        )

)