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Trade

sell - JUP

Status
win
2025-07-07 15:23:13
16 minutes
PNL
0.71
Entry: 0.4392
Last: 0.43610000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.575
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.4
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001384905592
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.438959
  4. ema21 - 0.441118
  5. ema50 - 0.441819
  6. ema100 - 0.443458
  7. price_ema9_diff - 0.000547694
  8. ema9_ema21_diff - -0.00489498
  9. ema21_ema50_diff - -0.00158596
  10. price_ema100_diff - -0.00960379
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.46296
  14. kc_percentage - 0.414763
  15. kc_width_percentage - 0.0487499
  16. volume_ema_diff - 0.219344
  17. volume_ema1 - 357368.95067774
  18. volume_ema2 - 293082.89662479
    19. ¸
  19. 15m
  20. ema9 - 0.436505
  21. ema21 - 0.437631
  22. ema50 - 0.440126
  23. ema100 - 0.442413
  24. price_ema9_diff - 0.00617373
  25. ema9_ema21_diff - -0.00257314
  26. ema21_ema50_diff - -0.00566883
  27. price_ema100_diff - -0.0072633
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.533573
  31. kc_percentage - 0.644387
  32. kc_width_percentage - 0.0264156
  33. volume_ema_diff - 0.158008
  34. volume_ema1 - 104063.49757861
  35. volume_ema2 - 89864.171788335
    36. ¸
  36. 5m
  37. ema9 - 0.43665
  38. ema21 - 0.435955
  39. ema50 - 0.436897
  40. ema100 - 0.438203
  41. price_ema9_diff - 0.00583891
  42. ema9_ema21_diff - 0.00159339
  43. ema21_ema50_diff - -0.00215614
  44. price_ema100_diff - 0.00227376
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.625749
  48. kc_percentage - 1.098
  49. kc_width_percentage - 0.0123716
  50. volume_ema_diff - 0.0881948
  51. volume_ema1 - 39981.081890407
  52. volume_ema2 - 36740.737196762
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108178
  56. 5m_price_ema100_diff: 0.000672019
  57. 5m_price: 108250
  58. 5m_correlation_with_coin: 0.750748
  59. btc_indicators
  60. 15m_ema100: 108500
  61. 15m_price_ema100_diff: -0.00230443
  62. 15m_price: 108250
  63. btc_indicators
  64. 1H_ema100: 108551
  65. 1H_price_ema100_diff: -0.0027694
  66. 1H_price: 108250
    67. ¸

Short Trade on JUP

The 07 Jul 2025 at 15:23:13

With 3851.0447 JUP at 0.4392$ per unit.

Position size of 1691.3788 $

Take profit at 0.4361 (0.71 %) and Stop Loss at 0.4413 (0.48 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: 46.67 %

Symbol Start at Seach Score Trade Score Trades Count
INJ 2025-07-07 15:20:02 0.9297 40 1
LTC 2025-07-07 15:23:28 0.9228 -20 2
JTO 2025-07-07 15:22:49 0.9232 40 1
IO 2025-07-07 15:24:54 0.9111 60 1
RENDER 2025-07-07 15:26:17 0.9099 50 1
ZK 2025-07-07 15:25:42 0.9098 50 1
VET 2025-07-07 15:20:32 0.9093 60 1
TAO 2025-07-07 15:24:10 0.9086 60 1
WLD 2025-07-07 15:21:57 0.9004 70 1
AI16Z 2025-04-06 16:12:00 0.8972 50 1
PNUT 2025-07-07 15:28:00 0.8967 60 1
TUT 2025-07-11 21:33:23 0.8956 40 1

📌 Time Data

Start at Closed at Duration
07 Jul 2025
15:23:13		 07 Jul 2025
15:40:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4392 0.4413 0.4361 1.48 0.52
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 0.4392
  • Stop Loss: 0.4413
  • Take Profit: 0.4361

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4413 - 0.4392 = 0.0021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4392 - 0.4361 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.0021 = 1.4762

📌 Position Size

Amount Margin Quantity Leverage
1691.3788 100 3851.0447 16.91
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 0.0021

Taille de position = 8 / 0.0021 = 3809.52

Taille de position USD = 3809.52 x 0.4392 = 1673.14

Donc, tu peux acheter 3809.52 avec un stoploss a 0.4413

Avec un position size USD de 1673.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3809.52 x 0.0021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3809.52 x 0.0031 = 11.81

Si Take Profit atteint, tu gagneras 11.81$

Résumé

  • Taille de position 3809.52
  • Taille de position USD 1673.14
  • Perte potentielle 8
  • Gain potentiel 11.81
  • Risk-Reward Ratio 1.4762

📌 Peformances

TP % Target TP $ Target
0.71 % 11.94 $
SL % Target SL $ Target
0.48 % 8.09 $
PNL PNL %
11.94 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0455 % 9.52 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.435
            [stop_loss] => 0.4413
            [rr_ratio] => 2
            [closed_at] => 2025-07-07 15:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.43395
            [stop_loss] => 0.4413
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-07 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4329
            [stop_loss] => 0.4413
            [rr_ratio] => 3
            [closed_at] => 2025-07-07 15:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.43185
            [stop_loss] => 0.4413
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-07 16:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4308
            [stop_loss] => 0.4413
            [rr_ratio] => 4
            [closed_at] => 2025-07-07 16:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.42975
            [stop_loss] => 0.4413
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-07 16:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.4287
            [stop_loss] => 0.4413
            [rr_ratio] => 5
            [closed_at] => 2025-07-07 16:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.42765
            [stop_loss] => 0.4413
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-07 16:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.00020000000000003
            [rr_ratio] => 60
            [high] => 0.43940000
            [low] => 0.42720000
            [mfe_pct] => 2.73
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 60
            [candles_analyzed] => 24
            [start_at] => 2025-07-07T15:23:13-04:00
            [end_at] => 2025-07-07T17:23:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.012
            [max_drawdown] => 0.00030000000000002
            [rr_ratio] => 40
            [high] => 0.43950000
            [low] => 0.42720000
            [mfe_pct] => 2.73
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 40
            [candles_analyzed] => 72
            [start_at] => 2025-07-07T15:23:13-04:00
            [end_at] => 2025-07-07T21:23:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.44150000
            [high_after] => 0.43950000
            [low_before] => 0.43070000
            [low_after] => 0.42720000
            [is_new_high] => 
            [is_new_low] => 1
        )

)