Trade

sell - ATOM

Status
win
2025-07-29 19:21:44
23 minutes
PNL
0.60
Entry: 4.618
Last: 4.59050000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.315
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.8
Prediction 3 Probability
0 0.87
ML Trade Score: 110
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01223187719
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 4.60169
  4. ema21 - 4.62923
  5. ema50 - 4.683
  6. ema100 - 4.70784
  7. price_ema9_diff - 0.00354349
  8. ema9_ema21_diff - -0.0059504
  9. ema21_ema50_diff - -0.011481
  10. price_ema100_diff - -0.019083
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.467212
  14. adx - 0.230053
  15. kc_percentage - 0.46363
  16. kc_width_percentage - 0.0522
  17. volume_ema_diff - -0.391106
  18. volume_ema1 - 142110.91183287
  19. volume_ema2 - 233392.09429995
  20. ¸
  21. 15m
  22. ema9 - 4.59088
  23. ema21 - 4.58532
  24. ema50 - 4.60189
  25. ema100 - 4.61587
  26. price_ema9_diff - 0.00590651
  27. ema9_ema21_diff - 0.00121274
  28. ema21_ema50_diff - -0.0036014
  29. price_ema100_diff - 0.000460767
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.565354
  33. adx - 0.234648
  34. kc_percentage - 0.813672
  35. kc_width_percentage - 0.0227454
  36. volume_ema_diff - -0.67895
  37. volume_ema1 - 17565.036169539
  38. volume_ema2 - 54711.342897362
  39. ¸
  40. 5m
  41. ema9 - 4.60276
  42. ema21 - 4.59156
  43. ema50 - 4.58087
  44. ema100 - 4.57864
  45. price_ema9_diff - 0.00330913
  46. ema9_ema21_diff - 0.00244098
  47. ema21_ema50_diff - 0.00233296
  48. price_ema100_diff - 0.00859634
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.656339
  52. adx - 0.32183
  53. kc_percentage - 1.07301
  54. kc_width_percentage - 0.00970132
  55. volume_ema_diff - -0.926905
  56. volume_ema1 - 1019.3784224589
  57. volume_ema2 - 13946.129191267
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117555
  62. 5m_price_ema100_diff: 0.00250148
  63. 5m_price: 117850
  64. 5m_correlation_with_coin: 0.711329
  65. btc_indicators
  66. 15m_ema100: 117950
  67. 15m_price_ema100_diff: -0.000865909
  68. 15m_price: 117847
  69. btc_indicators
  70. 1H_ema100: 118080
  71. 1H_price_ema100_diff: -0.00195028
  72. 1H_price: 117850
  73. ¸

Short Trade on ATOM

The 29 Jul 2025 at 19:21:44

With 436.0192 ATOM at 4.618$ per unit.

Position size of 2013.5367 $

Take profit at 4.5905 (0.6 %) and Stop Loss at 4.6363 (0.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 13.5 %

Symbol Start at Seach Score Trade Score Trades Count
XLM 2025-07-29 19:21:35 0.9684 40 1
XTZ 2025-07-29 19:21:52 0.9524 50 1
BTC 2025-07-29 19:24:30 0.9482 40 2
APE 2025-07-29 19:22:33 0.9474 50 1
S 2025-07-29 19:33:39 0.9472 40 1
ARC 2025-05-28 19:23:28 0.9434 -100 1
CAKE 2025-07-29 19:24:24 0.9373 40 1
LTC 2025-05-06 00:33:14 0.9347 40 2
COOKIE 2025-06-13 00:26:31 0.9314 35 2
KAS 2025-08-24 10:45:59 0.9311 -100 2

📌 Time Data

Start at Closed at Duration
29 Jul 2025
19:21:44
29 Jul 2025
19:45:00
23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.618 4.6363 4.5905 1.5 4.766
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 4.618
  • Stop Loss: 4.6363
  • Take Profit: 4.5905

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6363 - 4.618 = 0.0183

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.618 - 4.5905 = 0.027500000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.027500000000001 / 0.0183 = 1.5027

📌 Position Size

Amount Margin Quantity Leverage
2013.5367 100 436.0192 20.14
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 0.0183

Taille de position = 8 / 0.0183 = 437.16

Taille de position USD = 437.16 x 4.618 = 2018.8

Donc, tu peux acheter 437.16 avec un stoploss a 4.6363

Avec un position size USD de 2018.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 437.16 x 0.0183 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 437.16 x 0.027500000000001 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 437.16
  • Taille de position USD 2018.8
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5027

📌 Peformances

TP % Target TP $ Target
0.6 % 11.99 $
SL % Target SL $ Target
0.4 % 7.98 $
PNL PNL %
11.99 $ 0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.5814
            [stop_loss] => 4.6363
            [rr_ratio] => 2
            [closed_at] => 2025-07-29 20:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.57225
            [stop_loss] => 4.6363
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-29 20:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.5631
            [stop_loss] => 4.6363
            [rr_ratio] => 3
            [closed_at] => 2025-07-29 20:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.55395
            [stop_loss] => 4.6363
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-29 20:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.5448
            [stop_loss] => 4.6363
            [rr_ratio] => 4
            [closed_at] => 2025-07-29 20:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.53565
            [stop_loss] => 4.6363
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-29 20:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4.5265
            [stop_loss] => 4.6363
            [rr_ratio] => 5
            [closed_at] => 2025-07-29 21:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 4.51735
            [stop_loss] => 4.6363
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-29 21:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.102
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4.61400000
            [low] => 4.51600000
            [mfe_pct] => 2.21
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-29T19:21:44-04:00
            [end_at] => 2025-07-29T21:21:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.102
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4.61400000
            [low] => 4.51600000
            [mfe_pct] => 2.21
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-07-29T19:21:44-04:00
            [end_at] => 2025-07-30T02:21:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.63200000
            [high_after] => 4.61400000
            [low_before] => 4.51500000
            [low_after] => 4.51600000
            [is_new_high] => 
            [is_new_low] => 
        )

)