Trade

sell - APT

Status
win
2025-05-14 20:54:35
35 minutes
PNL
0.64
Entry: 5.8119
Last: 5.77500000

Results

Status:
win
Trade Type:
sell
Prediction Score: -8.2616
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01638921207
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 5.79188
  4. ema21 - 5.85073
  5. ema50 - 5.89188
  6. ema100 - 5.90102
  7. price_ema9_diff - 0.00345627
  8. ema9_ema21_diff - -0.0100588
  9. ema21_ema50_diff - -0.00698486
  10. price_ema100_diff - -0.0151041
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.438997
  14. kc_percentage - 0.381704
  15. kc_width_percentage - 0.0512795
  16. ¸
  17. 15m
  18. ema9 - 5.77401
  19. ema21 - 5.77153
  20. ema50 - 5.81328
  21. ema100 - 5.89187
  22. price_ema9_diff - 0.00656135
  23. ema9_ema21_diff - 0.000429799
  24. ema21_ema50_diff - -0.00718187
  25. price_ema100_diff - -0.013573
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.584819
  29. kc_percentage - 0.848114
  30. kc_width_percentage - 0.0202906
  31. ¸
  32. 5m
  33. ema9 - 5.79524
  34. ema21 - 5.7756
  35. ema50 - 5.7669
  36. ema100 - 5.77316
  37. price_ema9_diff - 0.00287357
  38. ema9_ema21_diff - 0.00340087
  39. ema21_ema50_diff - 0.00150812
  40. price_ema100_diff - 0.00670891
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.720265
  44. kc_percentage - 1.03391
  45. kc_width_percentage - 0.011365
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 103477
  50. 5m_price_ema100_diff: 0.00265491
  51. 5m_price: 103752
  52. 5m_correlation_with_coin: 0.625453
  53. btc_indicators
  54. 15m_ema100: 103576
  55. 15m_price_ema100_diff: 0.00169736
  56. 15m_price: 103752
  57. btc_indicators
  58. 1H_ema100: 103579
  59. 1H_price_ema100_diff: 0.00166523
  60. 1H_price: 103752
  61. ¸

Short Trade on APT

The 14 May 2025 at 20:54:35

With 325.4173 APT at 5.8119$ per unit.

Position size of 1891.2929 $

Take profit at 5.775 (0.63 %) and Stop Loss at 5.8365 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.74 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-05-14 20:47:39 0.9681 46.67 3
GALA 2025-05-14 20:50:26 0.9668 35 2
VET 2025-05-14 20:51:05 0.9615 -25 2
ICP 2025-08-14 19:41:22 0.9587 30 1
MOVE 2025-05-30 07:12:53 0.9583 40 1
FRAG 2025-08-02 19:40:38 0.9544 -100 1
AGT 2025-07-22 19:35:45 0.9533 50 1
BANANA 2025-07-29 02:14:27 0.9527 -100 1
POPCAT 2025-06-04 04:25:21 0.9527 30 1

📌 Time Data

Start at Closed at Duration
14 May 2025
20:54:35
14 May 2025
21:30:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.8119 5.8365 5.775 1.5 4.399
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 5.8119
  • Stop Loss: 5.8365
  • Take Profit: 5.775

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.8365 - 5.8119 = 0.0246

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.8119 - 5.775 = 0.036899999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.036899999999999 / 0.0246 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1891.2929 100 325.4173 18.91
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 5.8119 = 1890.03

Donc, tu peux acheter 325.2 avec un stoploss a 5.8365

Avec un position size USD de 1890.03$

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 0.036899999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 325.2
  • Taille de position USD 1890.03
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.63 % 12.01 $
SL % Target SL $ Target
0.42 % 8.01 $
PNL PNL %
12.04 $ 0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.33895388850653 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.764
            [stop_loss] => 5.836
            [rr_ratio] => 2
            [closed_at] => 2025-05-14 21:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.752
            [stop_loss] => 5.836
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-14 21:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.74
            [stop_loss] => 5.836
            [rr_ratio] => 3
            [closed_at] => 2025-05-14 21:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 5.728
            [stop_loss] => 5.836
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 5.716
            [stop_loss] => 5.836
            [rr_ratio] => 4
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 5.704
            [stop_loss] => 5.836
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-14 21:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 5.692
            [stop_loss] => 5.836
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 01:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 5.68
            [stop_loss] => 5.836
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 01:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 5.668
            [stop_loss] => 5.836
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 01:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 5.656
            [stop_loss] => 5.836
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 01:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 5.644
            [stop_loss] => 5.836
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 01:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1137
            [max_drawdown] => 0.0198
            [rr_ratio] => 5.74
            [high] => 5.83170000
            [low] => 5.69820000
            [mfe_pct] => 1.96
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 5.74
            [candles_analyzed] => 24
            [start_at] => 2025-05-14T20:54:35-04:00
            [end_at] => 2025-05-14T22:54:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2373
            [max_drawdown] => 0.0198
            [rr_ratio] => 11.98
            [high] => 5.83170000
            [low] => 5.57460000
            [mfe_pct] => 4.08
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 11.98
            [candles_analyzed] => 72
            [start_at] => 2025-05-14T20:54:35-04:00
            [end_at] => 2025-05-15T02:54:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.82080000
            [high_after] => 5.83170000
            [low_before] => 5.68800000
            [low_after] => 5.57460000
            [is_new_high] => 
            [is_new_low] => 1
        )

)