Trade

sell - DOT

Status
win
2025-05-30 14:26:26
3 hours
PNL
0.89
Entry: 4.174
Last: 4.13700000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.1083
Prediction 1 Accuracy
Strong Trade
0.59
Prediction 2 Accuracy
2 0.63
ML Trade Score: 140
ML Pullback Score: 6.36

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01641303969
Details
  1. score: 1
  2. 1H
  3. ema9 - 4.17414
  4. ema21 - 4.23466
  5. ema50 - 4.34525
  6. ema100 - 4.41871
  7. price_ema9_diff - -3.37583E-5
  8. ema9_ema21_diff - -0.0142919
  9. ema21_ema50_diff - -0.0254518
  10. price_ema100_diff - -0.0553819
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.375578
  14. kc_percentage - 0.27384
  15. kc_width_percentage - 0.0586628
  16. ¸
  17. 15m
  18. ema9 - 4.14514
  19. ema21 - 4.15771
  20. ema50 - 4.18893
  21. ema100 - 4.24628
  22. price_ema9_diff - 0.00696143
  23. ema9_ema21_diff - -0.00302278
  24. ema21_ema50_diff - -0.00745422
  25. price_ema100_diff - -0.017024
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.52473
  29. kc_percentage - 0.637528
  30. kc_width_percentage - 0.0302358
  31. ¸
  32. 5m
  33. ema9 - 4.15299
  34. ema21 - 4.14305
  35. ema50 - 4.1522
  36. ema100 - 4.16595
  37. price_ema9_diff - 0.0050576
  38. ema9_ema21_diff - 0.00239973
  39. ema21_ema50_diff - -0.00220475
  40. price_ema100_diff - 0.00193072
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.614402
  44. kc_percentage - 1.00198
  45. kc_width_percentage - 0.0147206
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104975
  50. 5m_price_ema100_diff: -0.00277716
  51. 5m_price: 104683
  52. 5m_correlation_with_coin: 0.804162
  53. btc_indicators
  54. 15m_ema100: 105536
  55. 15m_price_ema100_diff: -0.00807869
  56. 15m_price: 104683
  57. btc_indicators
  58. 1H_ema100: 107416
  59. 1H_price_ema100_diff: -0.0254393
  60. 1H_price: 104683
  61. ¸

Short Trade on DOT

The 30 May 2025 at 14:26:26

With 324.9449 DOT at 4.174$ per unit.

Position size of 1356.32 $

Take profit at 4.1371 (0.88 %) and Stop Loss at 4.1986 (0.59 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-05-30 14:28:20 0.8891 30 1
GRIFFAIN 2025-05-30 14:35:02 0.865 -100 2
BNB 2025-05-30 14:26:49 0.8777 40 1
MOODENG 2025-05-30 14:30:01 0.8692 30 1
BRETT 2025-05-30 14:29:07 0.8651 30 1
ZKJ 2025-06-14 11:29:09 0.855 40 2
LINK 2025-05-30 14:26:16 0.8536 -100 1
ADA 2025-05-30 14:26:09 0.8535 -100 1
BB 2025-05-30 14:28:51 0.8533 30 1
SOL 2025-05-30 14:26:38 0.8511 40 1
RENDER 2025-05-30 14:29:39 0.8463 30 1
EIGEN 2025-05-30 14:29:53 0.8425 30 1

📌 Time Data

Start at Closed at Duration
30 May 2025
14:26:26
30 May 2025
17:40:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.174 4.1986 4.1371 1.5 3.963
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 4.174
  • Stop Loss: 4.1986
  • Take Profit: 4.1371

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.1986 - 4.174 = 0.0246

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.174 - 4.1371 = 0.0369

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0369 / 0.0246 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1356.32 100 324.9449 13.56
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 0.0246

Taille de position = 8 / 0.0246 = 325.2

Taille de position USD = 325.2 x 4.174 = 1357.38

Donc, tu peux acheter 325.2 avec un stoploss a 4.1986

Avec un position size USD de 1357.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 325.2 x 0.0246 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 325.2 x 0.0369 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 325.2
  • Taille de position USD 1357.38
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.88 % 11.99 $
SL % Target SL $ Target
0.59 % 7.99 $
PNL PNL %
12.02 $ 0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.57498802108289 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.124
            [stop_loss] => 4.199
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.1115
            [stop_loss] => 4.199
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.099
            [stop_loss] => 4.199
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.0865
            [stop_loss] => 4.199
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.074
            [stop_loss] => 4.199
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.0615
            [stop_loss] => 4.199
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4.049
            [stop_loss] => 4.199
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 4.0365
            [stop_loss] => 4.199
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 4.024
            [stop_loss] => 4.199
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 4.0115
            [stop_loss] => 4.199
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 19:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 3.999
            [stop_loss] => 4.199
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 20:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.024
            [rr_ratio] => 0.67
            [high] => 4.19800000
            [low] => 4.15800000
            [mfe_pct] => 0.38
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T14:26:26-04:00
            [end_at] => 2025-05-30T16:26:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.219
            [max_drawdown] => 0.024
            [rr_ratio] => 9.13
            [high] => 4.19800000
            [low] => 3.95500000
            [mfe_pct] => 5.25
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 9.13
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T14:26:26-04:00
            [end_at] => 2025-05-30T20:26:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.21300000
            [high_after] => 4.19800000
            [low_before] => 4.04000000
            [low_after] => 3.95500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)