Trade

sell - DOG

Status
win
2025-07-17 05:31:18
28 minutes
PNL
1.30
Entry: 0.004165
Last: 0.00411100

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.0182
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.58
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 9.85

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 2.419365295E-5
Details
  1. score: 1.17
  2. 1H
  3. ema9 - 0.00412959
  4. ema21 - 0.00416896
  5. ema50 - 0.00420108
  6. ema100 - 0.00426011
  7. price_ema9_diff - 0.00857462
  8. ema9_ema21_diff - -0.00944583
  9. ema21_ema50_diff - -0.00764548
  10. price_ema100_diff - -0.0223277
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.488673
  14. kc_percentage - 0.494855
  15. kc_width_percentage - 0.0980734
  16. volume_ema_diff - -0.501101
  17. volume_ema1 - 280466.90100114
  18. volume_ema2 - 562172.5530204
  19. ¸
  20. 15m
  21. ema9 - 0.00411092
  22. ema21 - 0.0041031
  23. ema50 - 0.0041453
  24. ema100 - 0.00419385
  25. price_ema9_diff - 0.0131534
  26. ema9_ema21_diff - 0.00190517
  27. ema21_ema50_diff - -0.0101799
  28. price_ema100_diff - -0.00688121
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.586944
  32. kc_percentage - 0.841717
  33. kc_width_percentage - 0.044004
  34. volume_ema_diff - -0.714695
  35. volume_ema1 - 34225.623625691
  36. volume_ema2 - 119961.86721082
  37. ¸
  38. 5m
  39. ema9 - 0.00412216
  40. ema21 - 0.00409988
  41. ema50 - 0.00409027
  42. ema100 - 0.00411292
  43. price_ema9_diff - 0.0103914
  44. ema9_ema21_diff - 0.00543521
  45. ema21_ema50_diff - 0.00234841
  46. price_ema100_diff - 0.0126617
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.70907
  50. kc_percentage - 1.16791
  51. kc_width_percentage - 0.0230183
  52. volume_ema_diff - -0.457434
  53. volume_ema1 - 13207.947988807
  54. volume_ema2 - 24343.528054214
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118409
  59. 5m_price_ema100_diff: 0.0060212
  60. 5m_price: 119122
  61. 5m_correlation_with_coin: 0.785326
  62. btc_indicators
  63. 15m_ema100: 118666
  64. 15m_price_ema100_diff: 0.00383834
  65. 15m_price: 119122
  66. btc_indicators
  67. 1H_ema100: 118481
  68. 1H_price_ema100_diff: 0.00540286
  69. 1H_price: 119122
  70. ¸

Short Trade on DOG

The 17 Jul 2025 at 05:31:18

With 220443.4917 DOG at 0.004165$ per unit.

Position size of 918.1471 $

Take profit at 0.004111 (1.3 %) and Stop Loss at 0.004201 (0.86 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -13.64 %

Symbol Start at Seach Score Trade Score Trades Count
POPCAT 2025-04-03 00:32:15 0.9403 -100 1
ARKM 2025-08-15 17:33:06 0.932 -100 2
BLAST 2025-04-03 01:02:38 0.9313 100 1
BSW 2025-06-30 15:38:50 0.931 40 1
GMX 2025-07-09 17:26:31 0.9297 40 2
SIREN 2025-03-26 19:35:27 0.9288 100 1
HAEDAL 2025-07-19 18:57:47 0.9279 30 1
KAITO 2025-06-09 05:33:53 0.9259 -100 1
ALGO 2025-08-19 06:11:41 0.9256 30 1
BMT 2025-06-29 18:30:10 0.9252 -100 1
ARC 2025-04-03 17:02:23 0.9252 -90 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
05:31:18
17 Jul 2025
06:00:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.004165 0.004201 0.004111 1.5 0.002809
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 0.004165
  • Stop Loss: 0.004201
  • Take Profit: 0.004111

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.004201 - 0.004165 = 3.6E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.004165 - 0.004111 = 5.4E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.4E-5 / 3.6E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
918.1471 100 220443.4917 9.18
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 3.6E-5

Taille de position = 8 / 3.6E-5 = 222222.22

Taille de position USD = 222222.22 x 0.004165 = 925.56

Donc, tu peux acheter 222222.22 avec un stoploss a 0.004201

Avec un position size USD de 925.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 222222.22 x 3.6E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 222222.22 x 5.4E-5 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 222222.22
  • Taille de position USD 925.56
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 11.9 $
SL % Target SL $ Target
0.86 % 7.94 $
PNL PNL %
11.9 $ 1.30
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5522 % 63.89 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.004093
            [stop_loss] => 0.004201
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 06:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.004075
            [stop_loss] => 0.004201
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 06:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.004057
            [stop_loss] => 0.004201
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 06:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.004039
            [stop_loss] => 0.004201
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 08:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.004021
            [stop_loss] => 0.004201
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 08:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.004003
            [stop_loss] => 0.004201
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 08:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.003985
            [stop_loss] => 0.004201
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 08:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.003967
            [stop_loss] => 0.004201
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 09:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000125
            [max_drawdown] => 2.3E-5
            [rr_ratio] => 5.43
            [high] => 0.00418800
            [low] => 0.00404000
            [mfe_pct] => 3
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 5.43
            [candles_analyzed] => 24
            [start_at] => 2025-07-17T05:31:18-04:00
            [end_at] => 2025-07-17T07:31:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000213
            [max_drawdown] => 2.3E-5
            [rr_ratio] => 9.26
            [high] => 0.00418800
            [low] => 0.00395200
            [mfe_pct] => 5.11
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 9.26
            [candles_analyzed] => 72
            [start_at] => 2025-07-17T05:31:18-04:00
            [end_at] => 2025-07-17T11:31:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00416500
            [high_after] => 0.00418800
            [low_before] => 0.00402200
            [low_after] => 0.00395200
            [is_new_high] => 
            [is_new_low] => 1
        )

)