Trade

sell - DOG

Status
loss
2025-05-29 17:52:20
2 minutes
PNL
-0.81
Entry: 0.004968
Last: 0.00500800

Results

Status:
loss
Trade Type:
sell
Prediction Score: -0.4619
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.58
Prediction 3 Probability
n/a
ML Trade Score: -70
ML Pullback Score: 7.81

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 2.664982403E-5
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.00497888
  4. ema21 - 0.00506499
  5. ema50 - 0.00514471
  6. ema100 - 0.00518966
  7. price_ema9_diff - -0.00218617
  8. ema9_ema21_diff - -0.0170013
  9. ema21_ema50_diff - -0.0154956
  10. price_ema100_diff - -0.0427125
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.418789
  14. kc_percentage - 0.28439
  15. kc_width_percentage - 0.0860356
  16. ¸
  17. 15m
  18. ema9 - 0.0049079
  19. ema21 - 0.00493748
  20. ema50 - 0.00501713
  21. ema100 - 0.00507726
  22. price_ema9_diff - 0.0122438
  23. ema9_ema21_diff - -0.00599079
  24. ema21_ema50_diff - -0.015874
  25. price_ema100_diff - -0.0215202
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.513493
  29. kc_percentage - 0.656836
  30. kc_width_percentage - 0.0435349
  31. ¸
  32. 5m
  33. ema9 - 0.00493607
  34. ema21 - 0.00490569
  35. ema50 - 0.00491906
  36. ema100 - 0.00496677
  37. price_ema9_diff - 0.00646726
  38. ema9_ema21_diff - 0.00619355
  39. ema21_ema50_diff - -0.00271893
  40. price_ema100_diff - 0.000246195
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.655814
  44. kc_percentage - 1.10892
  45. kc_width_percentage - 0.0202362
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106534
  50. 5m_price_ema100_diff: -0.00266826
  51. 5m_price: 106250
  52. 5m_correlation_with_coin: 0.566687
  53. btc_indicators
  54. 15m_ema100: 107164
  55. 15m_price_ema100_diff: -0.00853391
  56. 15m_price: 106250
  57. btc_indicators
  58. 1H_ema100: 108080
  59. 1H_price_ema100_diff: -0.0169389
  60. 1H_price: 106250
  61. ¸

Short Trade on DOG

The 29 May 2025 at 17:52:20

With 200126.3996 DOG at 0.004968$ per unit.

Position size of 994.228 $

Take profit at 0.004908 (1.21 %) and Stop Loss at 0.005008 (0.81 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -61.43 %

Symbol Start at Seach Score Trade Score Trades Count
EIGEN 2025-06-12 23:19:00 0.9575 -100 1
ARB 2025-06-12 23:34:10 0.9512 30 1
POL 2025-06-12 23:31:33 0.9503 -100 4
APE 2025-06-12 23:19:31 0.949 40 2
WIF 2025-06-12 23:35:29 0.9498 -100 1
ETHFI 2025-06-12 23:17:43 0.9487 -100 1
SSV 2025-06-12 23:23:32 0.9483 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
17:52:20
29 May 2025
17:55:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.004968 0.005008 0.004908 1.5 0.003597
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 0.004968
  • Stop Loss: 0.005008
  • Take Profit: 0.004908

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.005008 - 0.004968 = 4.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.004968 - 0.004908 = 6.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.0E-5 / 4.0E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
994.228 100 200126.3996 9.94
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 4.0E-5

Taille de position = 8 / 4.0E-5 = 200000

Taille de position USD = 200000 x 0.004968 = 993.6

Donc, tu peux acheter 200000 avec un stoploss a 0.005008

Avec un position size USD de 993.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 200000 x 4.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 200000 x 6.0E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 200000
  • Taille de position USD 993.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.21 % 12.01 $
SL % Target SL $ Target
0.81 % 8.01 $
PNL PNL %
-8.01 $ -0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.94605475040258 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.004908
            [entry_price] => 0.004968
            [stop_loss] => 0.005012
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-29 17:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.004908
            [entry_price] => 0.004968
            [stop_loss] => 0.005016
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.004908
            [entry_price] => 0.004968
            [stop_loss] => 0.00502
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.004908
            [entry_price] => 0.004968
            [stop_loss] => 0.005028
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000106
            [max_drawdown] => 4.7E-5
            [rr_ratio] => 2.26
            [high] => 0.00501500
            [low] => 0.00486200
            [mfe_pct] => 2.13
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 2.26
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T17:52:20-04:00
            [end_at] => 2025-05-29T19:52:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000687
            [max_drawdown] => 4.7E-5
            [rr_ratio] => 14.62
            [high] => 0.00501500
            [low] => 0.00428100
            [mfe_pct] => 13.83
            [mae_pct] => 0.95
            [mfe_mae_ratio] => 14.62
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T17:52:20-04:00
            [end_at] => 2025-05-29T23:52:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00507400
            [high_after] => 0.00501500
            [low_before] => 0.00478100
            [low_after] => 0.00428100
            [is_new_high] => 
            [is_new_low] => 1
        )

)