Short Trade on KAS 29 Jul 2025 at 21:48:07

Take profit at 0.09548 (0.8 %) and Stop Loss at 0.09677 (0.54 %)

Short Trade on KAS

The 29 Jul 2025 at 21:48:07

With 15513.8767 KAS at 0.09625$ per unit.

Position size of 1493.2106 $

Take profit at 0.09548 (0.8 %) and Stop Loss at 0.09677 (0.54 %)

That's a 1.48 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 9.02
Prediction Score: 1.2652
Prediction 1 Probability
Strong Trade
0.64
Prediction 2 Probability
0 0.46
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.832546

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0003437782458
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.096062
  4. ema21 : 0.0969311
  5. ema50 : 0.0986554
  6. ema100 : 0.0997264
  7. price_ema9_diff : 0.00195667
  8. ema9_ema21_diff : -0.00896583
  9. ema21_ema50_diff : -0.017478
  10. price_ema100_diff : -0.0348596
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.432903
  14. adx : 0.338131
  15. kc_percentage : 0.388135
  16. kc_width_percentage : 0.0562173
  17. volume_ema_diff : -0.52945
  18. volume_ema1 : 301697.55393912
  19. volume_ema2 : 641160.58042818
  20. ¸
  21. 15m
  22. ema9 : 0.0956155
  23. ema21 : 0.0956451
  24. ema50 : 0.0961471
  25. ema100 : 0.0967308
  26. price_ema9_diff : 0.00663572
  27. ema9_ema21_diff : -0.000309427
  28. ema21_ema50_diff : -0.00522161
  29. price_ema100_diff : -0.00497084
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.555919
  33. adx : 0.164261
  34. kc_percentage : 0.744759
  35. kc_width_percentage : 0.0261613
  36. volume_ema_diff : -0.246393
  37. volume_ema1 : 68814.418298156
  38. volume_ema2 : 91313.491488491
  39. ¸
  40. 5m
  41. ema9 : 0.0955542
  42. ema21 : 0.0954176
  43. ema50 : 0.095504
  44. ema100 : 0.0958078
  45. price_ema9_diff : 0.00728083
  46. ema9_ema21_diff : 0.00143203
  47. ema21_ema50_diff : -0.000905104
  48. price_ema100_diff : 0.00461445
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.647335
  52. adx : 0.200906
  53. kc_percentage : 1.07676
  54. kc_width_percentage : 0.0149686
  55. volume_ema_diff : 0.146969
  56. volume_ema1 : 29976.921249443
  57. volume_ema2 : 26135.750880736
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    117667
  62. 5m_price_ema100_diff:
    0.00249959
  63. 5m_price:
    117961
  64. 5m_correlation_with_coin:
    0.832546
  65. btc_indicators
  66. 15m_ema100:
    117937
  67. 15m_price_ema100_diff:
    0.000199684
  68. 15m_price:
    117961
  69. btc_indicators
  70. 1H_ema100:
    118102
  71. 1H_price_ema100_diff:
    -0.00119544
  72. 1H_price:
    117961
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Jul 2025
21:48:07
29 Jul 2025
23:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09625 0.09677 0.09548 1.48 0.03145
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 0.09625
  • Stop Loss: 0.09677
  • Take Profit: 0.09548

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09677 - 0.09625 = 0.00051999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09625 - 0.09548 = 0.00077000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00077000000000001 / 0.00051999999999999 = 1.4808

📌 Position Size

Amount Margin Quantity Leverage
1493.2106 100 15513.8767 14.93
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 0.00051999999999999

Taille de position = 8 / 0.00051999999999999 = 15384.62

Taille de position USD = 15384.62 x 0.09625 = 1480.77

Donc, tu peux acheter 15384.62 avec un stoploss a 0.09677

Avec un position size USD de 1480.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 15384.62 x 0.00051999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 15384.62 x 0.00077000000000001 = 11.85

Si Take Profit atteint, tu gagneras 11.85$

Résumé

  • Taille de position 15384.62
  • Taille de position USD 1480.77
  • Perte potentielle 8
  • Gain potentiel 11.85
  • Risk-Reward Ratio 1.4808

📌 Peformances

TP % Target TP $ Target
0.8 % 11.95 $
SL % Target SL $ Target
0.54 % 8.07 $
PNL PNL %
11.95 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2286 % 42.31 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09521
            [stop_loss] => 0.09677
            [rr_ratio] => 2
            [closed_at] => 2025-07-30 00:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.09495
            [stop_loss] => 0.09677
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-30 00:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.09469
            [stop_loss] => 0.09677
            [rr_ratio] => 3
            [closed_at] => 2025-07-30 01:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.09443
            [stop_loss] => 0.09677
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-30 01:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.09417
            [stop_loss] => 0.09677
            [rr_ratio] => 4
            [closed_at] => 2025-07-30 01:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.09391
            [stop_loss] => 0.09677
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-30 01:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.09365
            [stop_loss] => 0.09677
            [rr_ratio] => 5
            [closed_at] => 2025-07-30 03:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.09339
            [stop_loss] => 0.09677
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-30 03:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00083
            [max_drawdown] => 0.00022
            [rr_ratio] => 3.77
            [high] => 0.09647000
            [low] => 0.09542000
            [mfe_pct] => 0.86
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 3.77
            [candles_analyzed] => 24
            [start_at] => 2025-07-29T21:48:07-04:00
            [end_at] => 2025-07-29T23:48:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00316
            [max_drawdown] => 0.00022
            [rr_ratio] => 14.36
            [high] => 0.09647000
            [low] => 0.09309000
            [mfe_pct] => 3.28
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 14.36
            [candles_analyzed] => 84
            [start_at] => 2025-07-29T21:48:07-04:00
            [end_at] => 2025-07-30T04:48:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09656000
            [high_after] => 0.09647000
            [low_before] => 0.09437000
            [low_after] => 0.09315000
            [is_new_high] => 
            [is_new_low] => 1
        )

)