Short Trade on TON 15 Sep 2025 at 17:29:33

Take profit at 3.1489 (0.31 %) and Stop Loss at 3.1634 (0.15 %)

Short Trade on TON

The 15 Sep 2025 at 17:29:33

With 1649.9122 TON at 3.1586$ per unit.

Position size of 5211.4126 $

Take profit at 3.1489 (0.31 %) and Stop Loss at 3.1634 (0.15 %)

That's a 2.02 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 6.99
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.716872

15m : 0.032998

1H : -0.030609

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00323249531
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 3.15001
  4. ema21 : 3.16026
  5. ema50 : 3.18015
  6. ema100 : 3.19171
  7. price_ema9_diff : 0.00272557
  8. ema9_ema21_diff : -0.0032447
  9. ema21_ema50_diff : -0.00625482
  10. price_ema100_diff : -0.0103763
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0751292
  14. ema_slope_21 : -0.0763937
  15. ema_slope_50 : -0.0542556
  16. ema_slope_100 : -0.0320414
  17. rsi : 0.471695
  18. adx : 0.370511
  19. kc_percentage : 0.490817
  20. kc_width_percentage : 0.0251292
  21. volume_ema_diff : -0.286547
  22. volume_ema1 : 937214.61438339
  23. volume_ema2 : 1313633.4513982
  24. regime : bear_medium
  25. ¸
  26. 15m
  27. ema9 : 3.15084
  28. ema21 : 3.14717
  29. ema50 : 3.15196
  30. ema100 : 3.16255
  31. price_ema9_diff : 0.00246179
  32. ema9_ema21_diff : 0.00116681
  33. ema21_ema50_diff : -0.00152231
  34. price_ema100_diff : -0.00124978
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0331388
  38. ema_slope_21 : 0.0146299
  39. ema_slope_50 : -0.00517812
  40. ema_slope_100 : -0.0100756
  41. rsi : 0.59
  42. adx : 0.22559
  43. kc_percentage : 0.878319
  44. kc_width_percentage : 0.00949542
  45. volume_ema_diff : -0.51445
  46. volume_ema1 : 171410.95427669
  47. volume_ema2 : 353024.36354013
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 3.15552
  52. ema21 : 3.15197
  53. ema50 : 3.1473
  54. ema100 : 3.14589
  55. price_ema9_diff : 0.000974593
  56. ema9_ema21_diff : 0.00112717
  57. ema21_ema50_diff : 0.00148181
  58. price_ema100_diff : 0.00403921
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0197572
  62. ema_slope_21 : 0.0169123
  63. ema_slope_50 : 0.0116043
  64. ema_slope_100 : 0.00598024
  65. rsi : 0.670304
  66. adx : 0.23021
  67. kc_percentage : 1.04981
  68. kc_width_percentage : 0.00367227
  69. volume_ema_diff : -0.644025
  70. volume_ema1 : 30759.927582086
  71. volume_ema2 : 86410.565188524
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115003
  77. 5m_price_ema100_diff:
    0.0032153
  78. 5m_price:
    115373
  79. 5m_correlation_with_coin:
    0.716872
  80. btc_indicators
  81. 15m_ema100:
    115222
  82. 15m_price_ema100_diff:
    0.00136915
  83. 15m_price:
    115380
  84. 15m_correlation_with_coin:
    0.032998
  85. btc_indicators
  86. 1H_ema100:
    115279
  87. 1H_price_ema100_diff:
    0.000813076
  88. 1H_price:
    115373
  89. 1H_correlation_with_coin:
    -0.030609
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:29:33
15 Sep 2025
20:25:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.1586 3.1634 3.1489 2.02 1.2993
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 3.1586
  • Stop Loss: 3.1634
  • Take Profit: 3.1489

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1634 - 3.1586 = 0.0048000000000004

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.1586 - 3.1489 = 0.0097

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0097 / 0.0048000000000004 = 2.0208

📌 Position Size

Amount Margin Quantity Leverage
5211.4126 100 1649.9122 52.11
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 0.0048000000000004

Taille de position = 8 / 0.0048000000000004 = 1666.67

Taille de position USD = 1666.67 x 3.1586 = 5264.34

Donc, tu peux acheter 1666.67 avec un stoploss a 3.1634

Avec un position size USD de 5264.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1666.67 x 0.0048000000000004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1666.67 x 0.0097 = 16.17

Si Take Profit atteint, tu gagneras 16.17$

Résumé

  • Taille de position 1666.67
  • Taille de position USD 5264.34
  • Perte potentielle 8
  • Gain potentiel 16.17
  • Risk-Reward Ratio 2.0208

📌 Peformances

TP % Target TP $ Target
0.31 % 16 $
SL % Target SL $ Target
0.15 % 7.92 $
PNL PNL %
16 $ 0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.057 % 37.5 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.149
            [stop_loss] => 3.1634
            [rr_ratio] => 2
            [closed_at] => 2025-09-15 20:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.1466
            [stop_loss] => 3.1634
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-15 20:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.1442
            [stop_loss] => 3.1634
            [rr_ratio] => 3
            [closed_at] => 2025-09-15 21:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.1418
            [stop_loss] => 3.1634
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-15 22:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.1394
            [stop_loss] => 3.1634
            [rr_ratio] => 4
            [closed_at] => 2025-09-15 22:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0090999999999997
            [max_drawdown] => 0.0018000000000002
            [rr_ratio] => 5.06
            [high] => 3.16040000
            [low] => 3.14950000
            [mfe_pct] => 0.29
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 5.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:29:33-04:00
            [end_at] => 2025-09-15T19:29:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0323
            [max_drawdown] => 0.0018000000000002
            [rr_ratio] => 17.94
            [high] => 3.16040000
            [low] => 3.12630000
            [mfe_pct] => 1.02
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 17.94
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:29:33-04:00
            [end_at] => 2025-09-16T00:29:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.15900000
            [high_after] => 3.16040000
            [low_before] => 3.12890000
            [low_after] => 3.13760000
            [is_new_high] => 
            [is_new_low] => 
        )

)