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Short Trade on ATOM

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Short Trade on ATOM 22 Jun 2025 at 13:15:03

Take profit at 3.6687 (0.98 %) and Stop Loss at 3.7292 (0.65 %)

Short Trade on ATOM

The 22 Jun 2025 at 13:15:03

With 330.1522 ATOM at 3.705$ per unit.

Position size of 1223.214 $

Take profit at 3.6687 (0.98 %) and Stop Loss at 3.7292 (0.65 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: -0.35
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.58
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.786801

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0161541645
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 3.70163
  4. ema21 : 3.74661
  5. ema50 : 3.82435
  6. ema100 : 3.88811
  7. price_ema9_diff : 0.000909941
  8. ema9_ema21_diff : -0.0120057
  9. ema21_ema50_diff : -0.0203275
  10. price_ema100_diff : -0.047095
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.413553
  14. kc_percentage : 0.320855
  15. kc_width_percentage : 0.0574238
  16. volume_ema_diff : 0.382652
  17. volume_ema1 : 326763.50180795
  18. volume_ema2 : 236330.85956075
    19. ¸
  19. 15m
  20. ema9 : 3.67104
  21. ema21 : 3.67661
  22. ema50 : 3.71117
  23. ema100 : 3.74961
  24. price_ema9_diff : 0.00924999
  25. ema9_ema21_diff : -0.00151525
  26. ema21_ema50_diff : -0.00931358
  27. price_ema100_diff : -0.011898
  28. all_emas_in_trend : True
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.54915
  31. kc_percentage : 0.752325
  32. kc_width_percentage : 0.0316515
  33. volume_ema_diff : -0.386821
  34. volume_ema1 : 53720.080390579
  35. volume_ema2 : 87609.264502946
    36. ¸
  36. 5m
  37. ema9 : 3.67788
  38. ema21 : 3.66532
  39. ema50 : 3.67026
  40. ema100 : 3.69288
  41. price_ema9_diff : 0.00737292
  42. ema9_ema21_diff : 0.00342527
  43. ema21_ema50_diff : -0.00134375
  44. price_ema100_diff : 0.00328
  45. all_emas_in_trend : False
  46. all_emas_and_price_in_trend : False
  47. rsi : 0.649922
  48. kc_percentage : 1.1311
  49. kc_width_percentage : 0.0167736
  50. volume_ema_diff : -0.645985
  51. volume_ema1 : 12629.64308755
  52. volume_ema2 : 35675.489218848
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    100727
  56. 5m_price_ema100_diff: 
    -0.00800159
  57. 5m_price: 
    99922
  58. 5m_correlation_with_coin: 
    0.786801
  59. btc_indicators
  60. 15m_ema100: 
    101772
  61. 15m_price_ema100_diff: 
    -0.0181863
  62. 15m_price: 
    99922
  63. btc_indicators
  64. 1H_ema100: 
    103263
  65. 1H_price_ema100_diff: 
    -0.0323623
  66. 1H_price: 
    99922
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Jun 2025
13:15:03		 22 Jun 2025
13:25:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.705 3.7292 3.6687 1.5 1.8396
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 3.705
  • Stop Loss: 3.7292
  • Take Profit: 3.6687

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.7292 - 3.705 = 0.0242

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.705 - 3.6687 = 0.0363

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0363 / 0.0242 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1223.214 100 330.1522 12.23
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 0.0242

Taille de position = 8 / 0.0242 = 330.58

Taille de position USD = 330.58 x 3.705 = 1224.8

Donc, tu peux acheter 330.58 avec un stoploss a 3.7292

Avec un position size USD de 1224.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 330.58 x 0.0242 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 330.58 x 0.0363 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 330.58
  • Taille de position USD 1224.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.98 % 11.98 $
SL % Target SL $ Target
0.65 % 7.99 $
PNL PNL %
11.89 $ 0.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.657
            [stop_loss] => 3.729
            [rr_ratio] => 2
            [closed_at] => 2025-06-22 15:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.645
            [stop_loss] => 3.729
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-22 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.633
            [stop_loss] => 3.729
            [rr_ratio] => 3
            [closed_at] => 2025-06-22 16:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.621
            [stop_loss] => 3.729
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-22 16:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.609
            [stop_loss] => 3.729
            [rr_ratio] => 4
            [closed_at] => 2025-06-22 16:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.597
            [stop_loss] => 3.729
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-22 16:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.585
            [stop_loss] => 3.729
            [rr_ratio] => 5
            [closed_at] => 2025-06-22 16:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.573
            [stop_loss] => 3.729
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-22 16:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.561
            [stop_loss] => 3.729
            [rr_ratio] => 6
            [closed_at] => 2025-06-22 16:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.549
            [stop_loss] => 3.729
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-22 16:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.053
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.70300000
            [low] => 3.65200000
            [mfe_pct] => 1.43
            [mae_pct] => -0.05
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-22T13:15:03-04:00
            [end_at] => 2025-06-22T15:15:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.162
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 27
            [high] => 3.71100000
            [low] => 3.54300000
            [mfe_pct] => 4.37
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 27
            [candles_analyzed] => 72
            [start_at] => 2025-06-22T13:15:03-04:00
            [end_at] => 2025-06-22T19:15:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.70800000
            [high_after] => 3.71100000
            [low_before] => 3.59000000
            [low_after] => 3.54300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)