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Trade

sell - JTO

Status
win
2025-07-12 20:45:26
1 hour
PNL
0.73
Entry: 1.908
Last: 1.89400000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5156
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.57
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.006117133691
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 1.89537
  4. ema21 - 1.90814
  5. ema50 - 1.92238
  6. ema100 - 1.91438
  7. price_ema9_diff - 0.00666149
  8. ema9_ema21_diff - -0.00669459
  9. ema21_ema50_diff - -0.00740424
  10. price_ema100_diff - -0.00333507
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.485443
  14. kc_percentage - 0.508063
  15. kc_width_percentage - 0.0615748
  16. volume_ema_diff - -0.457152
  17. volume_ema1 - 225199.35295088
  18. volume_ema2 - 414847.95248067
    19. ¸
  19. 15m
  20. ema9 - 1.8971
  21. ema21 - 1.89293
  22. ema50 - 1.89711
  23. ema100 - 1.90919
  24. price_ema9_diff - 0.00574346
  25. ema9_ema21_diff - 0.00220105
  26. ema21_ema50_diff - -0.00220112
  27. price_ema100_diff - -0.000624404
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.596107
  31. kc_percentage - 0.822798
  32. kc_width_percentage - 0.0242509
  33. volume_ema_diff - -0.209424
  34. volume_ema1 - 53180.046508705
  35. volume_ema2 - 67267.523761182
    36. ¸
  36. 5m
  37. ema9 - 1.89996
  38. ema21 - 1.89474
  39. ema50 - 1.89099
  40. ema100 - 1.88763
  41. price_ema9_diff - 0.00422671
  42. ema9_ema21_diff - 0.0027561
  43. ema21_ema50_diff - 0.00198589
  44. price_ema100_diff - 0.0107883
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.675552
  48. kc_percentage - 1.01668
  49. kc_width_percentage - 0.0131814
  50. volume_ema_diff - -0.0446272
  51. volume_ema1 - 18942.510852999
  52. volume_ema2 - 19827.351707052
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117331
  56. 5m_price_ema100_diff: 0.000495935
  57. 5m_price: 117389
  58. 5m_correlation_with_coin: 0.665977
  59. btc_indicators
  60. 15m_ema100: 117467
  61. 15m_price_ema100_diff: -0.000656875
  62. 15m_price: 117389
  63. btc_indicators
  64. 1H_ema100: 114810
  65. 1H_price_ema100_diff: 0.0224662
  66. 1H_price: 117389
    67. ¸

Short Trade on JTO

The 12 Jul 2025 at 20:45:26

With 871.9 JTO at 1.908$ per unit.

Position size of 1664 $

Take profit at 1.894 (0.73 %) and Stop Loss at 1.917 (0.47 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -22.67 %

Symbol Start at Seach Score Trade Score Trades Count
LPT 2025-07-12 20:44:55 0.9842 30 1
RENDER 2025-06-20 22:42:57 0.9514 -100 1
BTC 2025-06-20 23:03:04 0.9449 -100 1
PENDLE 2025-07-12 20:27:06 0.944 30 1
ALGO 2025-07-02 01:07:56 0.9367 -56.67 3
AI16Z 2025-06-05 04:05:35 0.9376 35 2
ATOM 2025-06-20 22:41:58 0.9346 -35 2
SIREN 2025-06-21 11:45:49 0.9353 30 1
AVAX 2025-05-31 08:13:35 0.9352 -100 1
PI 2025-05-31 09:07:46 0.9338 40 1

📌 Time Data

Start at Closed at Duration
12 Jul 2025
20:45:26		 12 Jul 2025
22:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.908 1.917 1.894 1.6 1.948
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 1.908
  • Stop Loss: 1.917
  • Take Profit: 1.894

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.917 - 1.908 = 0.0090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.908 - 1.894 = 0.014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.014 / 0.0090000000000001 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1664 100 871.9 16.64
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 0.0090000000000001

Taille de position = 8 / 0.0090000000000001 = 888.89

Taille de position USD = 888.89 x 1.908 = 1696

Donc, tu peux acheter 888.89 avec un stoploss a 1.917

Avec un position size USD de 1696$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 888.89 x 0.0090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 888.89 x 0.014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position 888.89
  • Taille de position USD 1696
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.73 % 12 $
SL % Target SL $ Target
0.47 % 7.8 $
PNL PNL %
12 $ 0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3459 % 73.33 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.89
            [stop_loss] => 1.917
            [rr_ratio] => 2
            [closed_at] => 2025-07-12 23:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.8855
            [stop_loss] => 1.917
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.881
            [stop_loss] => 1.917
            [rr_ratio] => 3
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.8765
            [stop_loss] => 1.917
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.872
            [stop_loss] => 1.917
            [rr_ratio] => 4
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.8675
            [stop_loss] => 1.917
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.863
            [stop_loss] => 1.917
            [rr_ratio] => 5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.8585
            [stop_loss] => 1.917
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.854
            [stop_loss] => 1.917
            [rr_ratio] => 6
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.8495
            [stop_loss] => 1.917
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.845
            [stop_loss] => 1.917
            [rr_ratio] => 7
            [closed_at] => 2025-07-13 00:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)