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Trade

sell - OP

Status
win
2025-06-17 20:17:02
12 minutes
PNL
0.71
Entry: 0.5642
Last: 0.56020000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.0259
Prediction 1 Accuracy
Strong Trade
0.53
Prediction 2 Accuracy
0 0.41
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001776654941
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.561911
  4. ema21 - 0.568677
  5. ema50 - 0.579345
  6. ema100 - 0.584009
  7. price_ema9_diff - 0.00407317
  8. ema9_ema21_diff - -0.0118987
  9. ema21_ema50_diff - -0.0184131
  10. price_ema100_diff - -0.0339194
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.441504
  14. kc_percentage - 0.389522
  15. kc_width_percentage - 0.0626068
  16. volume_ema_diff - -0.366109
    17. ¸
  17. 15m
  18. ema9 - 0.56098
  19. ema21 - 0.561122
  20. ema50 - 0.564182
  21. ema100 - 0.570488
  22. price_ema9_diff - 0.0057388
  23. ema9_ema21_diff - -0.000253474
  24. ema21_ema50_diff - -0.00542294
  25. price_ema100_diff - -0.0110224
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.537802
  29. kc_percentage - 0.695501
  30. kc_width_percentage - 0.0283602
  31. volume_ema_diff - -0.524789
    32. ¸
  32. 5m
  33. ema9 - 0.56181
  34. ema21 - 0.560464
  35. ema50 - 0.560472
  36. ema100 - 0.560644
  37. price_ema9_diff - 0.00425246
  38. ema9_ema21_diff - 0.00240303
  39. ema21_ema50_diff - -1.49229E-5
  40. price_ema100_diff - 0.00634232
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.614943
  44. kc_percentage - 1.04666
  45. kc_width_percentage - 0.0119766
  46. volume_ema_diff - -0.252601
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104410
  50. 5m_price_ema100_diff: 0.00103807
  51. 5m_price: 104518
  52. 5m_correlation_with_coin: 0.68546
  53. btc_indicators
  54. 15m_ema100: 105367
  55. 15m_price_ema100_diff: -0.00806029
  56. 15m_price: 104518
  57. btc_indicators
  58. 1H_ema100: 105789
  59. 1H_price_ema100_diff: -0.0120165
  60. 1H_price: 104518
    61. ¸

Short Trade on OP

The 17 Jun 2025 at 20:17:02

With 3002 OP at 0.5642$ per unit.

Position size of 1694 $

Take profit at 0.5602 (0.71 %) and Stop Loss at 0.5669 (0.48 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 20 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-06-17 20:16:45 0.9774 30 1
AVAX 2025-06-17 20:11:52 0.9613 30 2
ONDO 2025-06-17 20:18:13 0.9495 30 1
TRUMP 2025-06-17 20:00:36 0.9176 -35 2
APT 2025-06-17 20:07:43 0.9374 30 1
SHIB 2025-06-17 20:21:42 0.9285 30 1
BNB 2025-06-17 20:18:26 0.9142 -35 2
ICP 2025-06-17 20:16:06 0.8885 30 1
NEAR 2025-06-17 19:47:41 0.8885 30 1
PAXG 2025-04-03 15:11:55 0.8875 50 1
BB 2025-06-17 19:49:21 0.8872 30 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
20:17:02		 17 Jun 2025
20:30:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5642 0.5669 0.5602 1.5 0.5434
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 0.5642
  • Stop Loss: 0.5669
  • Take Profit: 0.5602

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5669 - 0.5642 = 0.0026999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5642 - 0.5602 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.0026999999999999 = 1.4815

📌 Position Size

Amount Margin Quantity Leverage
1694 100 3002 16.94
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 0.0026999999999999

Taille de position = 8 / 0.0026999999999999 = 2962.96

Taille de position USD = 2962.96 x 0.5642 = 1671.7

Donc, tu peux acheter 2962.96 avec un stoploss a 0.5669

Avec un position size USD de 1671.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2962.96 x 0.0026999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2962.96 x 0.004 = 11.85

Si Take Profit atteint, tu gagneras 11.85$

Résumé

  • Taille de position 2962.96
  • Taille de position USD 1671.7
  • Perte potentielle 8
  • Gain potentiel 11.85
  • Risk-Reward Ratio 1.4815

📌 Peformances

TP % Target TP $ Target
0.71 % 12 $
SL % Target SL $ Target
0.48 % 8.1 $
PNL PNL %
12 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5588
            [stop_loss] => 0.5669
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.55745
            [stop_loss] => 0.5669
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.5561
            [stop_loss] => 0.5669
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.55475
            [stop_loss] => 0.5669
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.5534
            [stop_loss] => 0.5669
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.55205
            [stop_loss] => 0.5669
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.5507
            [stop_loss] => 0.5669
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.54935
            [stop_loss] => 0.5669
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.548
            [stop_loss] => 0.5669
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.54665
            [stop_loss] => 0.5669
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.5453
            [stop_loss] => 0.5669
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 20:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)