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Trade

buy - DOT

Status
win
2025-05-20 22:06:22
28 minutes
PNL
0.65
Entry: 4.638
Last: 4.66800000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.298
Prediction 1 Accuracy
Strong Trade
0.7
Prediction 2 Accuracy
2 0.41
ML Trade Score: 130
ML Pullback Score: 9.96

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.01331281666
Details
  1. score: 2.13
  2. 1H
  3. ema9 - 4.65128
  4. ema21 - 4.62685
  5. ema50 - 4.6196
  6. ema100 - 4.6415
  7. price_ema9_diff - -0.00285721
  8. ema9_ema21_diff - 0.0052818
  9. ema21_ema50_diff - 0.00156944
  10. price_ema100_diff - -0.000756021
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.519328
  14. kc_percentage - 0.544199
  15. kc_width_percentage - 0.0483167
    16. ¸
  16. 15m
  17. ema9 - 4.66954
  18. ema21 - 4.66412
  19. ema50 - 4.64026
  20. ema100 - 4.62597
  21. price_ema9_diff - -0.00675638
  22. ema9_ema21_diff - 0.00116198
  23. ema21_ema50_diff - 0.00514312
  24. price_ema100_diff - 0.00259969
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.447234
  28. kc_percentage - 0.257229
  29. kc_width_percentage - 0.0240126
    30. ¸
  30. 5m
  31. ema9 - 4.66156
  32. ema21 - 4.67153
  33. ema50 - 4.67082
  34. ema100 - 4.66031
  35. price_ema9_diff - -0.00505532
  36. ema9_ema21_diff - -0.00213493
  37. ema21_ema50_diff - 0.000153523
  38. price_ema100_diff - -0.00478785
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.319822
  42. kc_percentage - -0.133264
  43. kc_width_percentage - 0.0112955
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 106546
  47. 5m_price_ema100_diff: -0.00357178
  48. 5m_price: 106166
  49. 5m_correlation_with_coin: 0.832978
  50. btc_indicators
  51. 15m_ema100: 105983
  52. 15m_price_ema100_diff: 0.00172707
  53. 15m_price: 106166
  54. btc_indicators
  55. 1H_ema100: 104691
  56. 1H_price_ema100_diff: 0.0140867
  57. 1H_price: 106166
    58. ¸

Long Trade on DOT

The 20 May 2025 at 22:06:22

With 400.6164 DOT at 4.638$ per unit.

Position size of 1858.0591 $

Take profit at 4.668 (0.65 %) and Stop Loss at 4.618 (0.43 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -43 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-05-20 22:07:02 0.9627 30 1
APT 2025-06-09 23:23:49 0.9463 -100 2
SWELL 2025-07-16 05:48:04 0.9502 40 1
ETC 2025-06-09 23:30:51 0.9425 -100 2
OP 2025-06-09 23:19:32 0.9392 -100 2
DOT 2025-06-09 23:13:18 0.9388 -100 2
INJ 2025-07-16 19:03:10 0.9395 -100 1
ARB 2025-06-09 23:29:42 0.9392 -100 1
TURBO 2025-04-26 15:21:07 0.938 50 1
TRX 2025-07-16 21:57:06 0.9365 50 1

📌 Time Data

Start at Closed at Duration
20 May 2025
22:06:22		 20 May 2025
22:35:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.638 4.618 4.668 1.5 3.917
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 4.638
  • Stop Loss: 4.618
  • Take Profit: 4.668

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.618 - 4.638 = -0.02

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.638 - 4.668 = -0.03

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.03 / -0.02 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1858.0591 100 400.6164 18.58
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 -0.02

Taille de position = 8 / -0.02 = -400

Taille de position USD = -400 x 4.638 = -1855.2

Donc, tu peux acheter -400 avec un stoploss a 4.618

Avec un position size USD de -1855.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -400 x -0.02 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -400 x -0.03 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -400
  • Taille de position USD -1855.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 12.02 $
SL % Target SL $ Target
0.43 % 8.01 $
PNL PNL %
12.02 $ 0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.30185424752049 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.678
            [stop_loss] => 4.618
            [rr_ratio] => 2
            [closed_at] => 2025-05-20 22:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.688
            [stop_loss] => 4.618
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-20 22:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.698
            [stop_loss] => 4.618
            [rr_ratio] => 3
            [closed_at] => 2025-05-20 23:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.708
            [stop_loss] => 4.618
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-20 23:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.718
            [stop_loss] => 4.618
            [rr_ratio] => 4
            [closed_at] => 2025-05-20 23:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.728
            [stop_loss] => 4.618
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-20 23:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4.738
            [stop_loss] => 4.618
            [rr_ratio] => 5
            [closed_at] => 2025-05-20 23:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 4.748
            [stop_loss] => 4.618
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-20 23:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 4.758
            [stop_loss] => 4.618
            [rr_ratio] => 6
            [closed_at] => 2025-05-21 00:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 4.768
            [stop_loss] => 4.618
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-21 01:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.111
            [max_drawdown] => 0.014
            [rr_ratio] => 7.93
            [high] => 4.74900000
            [low] => 4.62400000
            [mfe_pct] => 2.39
            [mae_pct] => 0.3
            [mfe_mae_ratio] => 7.93
            [candles_analyzed] => 24
            [start_at] => 2025-05-20T22:06:22-04:00
            [end_at] => 2025-05-21T00:06:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.137
            [max_drawdown] => 0.014
            [rr_ratio] => 9.79
            [high] => 4.77500000
            [low] => 4.62400000
            [mfe_pct] => 2.95
            [mae_pct] => 0.3
            [mfe_mae_ratio] => 9.79
            [candles_analyzed] => 72
            [start_at] => 2025-05-20T22:06:22-04:00
            [end_at] => 2025-05-21T04:06:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.71000000
            [high_after] => 4.77500000
            [low_before] => 4.62000000
            [low_after] => 4.62400000
            [is_new_high] => 1
            [is_new_low] => 
        )

)