Short Trade on JTO 14 Sep 2025 at 12:09:08

Take profit at 1.9067 (1.33 %) and Stop Loss at 1.9452 (0.66 %)

Short Trade on JTO

The 14 Sep 2025 at 12:09:08

With 623.1659 JTO at 1.9324$ per unit.

Position size of 1204.2057 $

Take profit at 1.9067 (1.33 %) and Stop Loss at 1.9452 (0.66 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.24
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.428087

15m : -0.122411

1H : -0.119035

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.008558449176
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 1.93684
  4. ema21 : 1.95674
  5. ema50 : 1.95795
  6. ema100 : 1.94171
  7. price_ema9_diff : -0.00229379
  8. ema9_ema21_diff : -0.0101717
  9. ema21_ema50_diff : -0.000619444
  10. price_ema100_diff : -0.00479862
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.220539
  14. ema_slope_21 : -0.11597
  15. ema_slope_50 : -0.0212874
  16. ema_slope_100 : 0.0121208
  17. rsi : 0.426348
  18. adx : 0.195972
  19. kc_percentage : 0.29991
  20. kc_width_percentage : 0.0606632
  21. volume_ema_diff : -0.212039
  22. volume_ema1 : 461816.04458993
  23. volume_ema2 : 586090.43012989
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.91564
  28. ema21 : 1.92576
  29. ema50 : 1.94865
  30. ema100 : 1.96497
  31. price_ema9_diff : 0.00874601
  32. ema9_ema21_diff : -0.00525441
  33. ema21_ema50_diff : -0.011749
  34. price_ema100_diff : -0.0165765
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.088715
  38. ema_slope_21 : -0.125248
  39. ema_slope_50 : -0.0969667
  40. ema_slope_100 : -0.061322
  41. rsi : 0.502419
  42. adx : 0.336639
  43. kc_percentage : 0.624997
  44. kc_width_percentage : 0.0318415
  45. volume_ema_diff : -0.355716
  46. volume_ema1 : 102543.7028199
  47. volume_ema2 : 159159.26062955
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 1.91757
  52. ema21 : 1.91296
  53. ema50 : 1.92027
  54. ema100 : 1.93625
  55. price_ema9_diff : 0.00772887
  56. ema9_ema21_diff : 0.00241393
  57. ema21_ema50_diff : -0.00380892
  58. price_ema100_diff : -0.00199326
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0811559
  62. ema_slope_21 : 0.0275243
  63. ema_slope_50 : -0.0154458
  64. ema_slope_100 : -0.025938
  65. rsi : 0.658003
  66. adx : 0.256415
  67. kc_percentage : 1.06925
  68. kc_width_percentage : 0.0176187
  69. volume_ema_diff : -0.206541
  70. volume_ema1 : 42551.412964267
  71. volume_ema2 : 53627.805966344
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115548
  77. 5m_price_ema100_diff:
    -0.00175793
  78. 5m_price:
    115345
  79. 5m_correlation_with_coin:
    0.428087
  80. btc_indicators
  81. 15m_ema100:
    115686
  82. 15m_price_ema100_diff:
    -0.00294871
  83. 15m_price:
    115345
  84. 15m_correlation_with_coin:
    -0.122411
  85. btc_indicators
  86. 1H_ema100:
    115223
  87. 1H_price_ema100_diff:
    0.00106017
  88. 1H_price:
    115345
  89. 1H_correlation_with_coin:
    -0.119035
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
12:09:08
14 Sep 2025
13:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9324 1.9452 1.9067 2.01 0.2846
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 1.9324
  • Stop Loss: 1.9452
  • Take Profit: 1.9067

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9452 - 1.9324 = 0.0128

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9324 - 1.9067 = 0.0257

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0257 / 0.0128 = 2.0078

📌 Position Size

Amount Margin Quantity Leverage
1204.2057 100 623.1659 12.04
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 0.0128

Taille de position = 8 / 0.0128 = 625

Taille de position USD = 625 x 1.9324 = 1207.75

Donc, tu peux acheter 625 avec un stoploss a 1.9452

Avec un position size USD de 1207.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 625 x 0.0128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 625 x 0.0257 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 625
  • Taille de position USD 1207.75
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.0078

📌 Peformances

TP % Target TP $ Target
1.33 % 16.02 $
SL % Target SL $ Target
0.66 % 7.98 $
PNL PNL %
-7.98 $ -0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6779 % 102.34 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.9067
            [entry_price] => 1.9324
            [stop_loss] => 1.94648
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.9067
            [entry_price] => 1.9324
            [stop_loss] => 1.94776
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.9067
            [entry_price] => 1.9324
            [stop_loss] => 1.94904
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.9067
            [entry_price] => 1.9324
            [stop_loss] => 1.9516
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0121
            [max_drawdown] => 0.0681
            [rr_ratio] => 0.18
            [high] => 2.00050000
            [low] => 1.92030000
            [mfe_pct] => 0.63
            [mae_pct] => 3.52
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T12:09:08-04:00
            [end_at] => 2025-09-14T14:09:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0121
            [max_drawdown] => 0.0762
            [rr_ratio] => 0.16
            [high] => 2.00860000
            [low] => 1.92030000
            [mfe_pct] => 0.63
            [mae_pct] => 3.94
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T12:09:08-04:00
            [end_at] => 2025-09-14T19:09:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.94850000
            [high_after] => 2.00860000
            [low_before] => 1.88890000
            [low_after] => 1.92030000
            [is_new_high] => 
            [is_new_low] => 
        )

)