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Trade

sell - ICP

Status
win
2025-05-13 05:27:17
1 hour
PNL
0.75
Entry: 5.634
Last: 5.59200000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.5418
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 1.89

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.01863651045
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 5.6012
  4. ema21 - 5.66858
  5. ema50 - 5.69818
  6. ema100 - 5.63016
  7. price_ema9_diff - 0.00585576
  8. ema9_ema21_diff - -0.0118878
  9. ema21_ema50_diff - -0.00519361
  10. price_ema100_diff - 0.000681207
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.463055
  14. kc_percentage - 0.426525
  15. kc_width_percentage - 0.0733255
    16. ¸
  16. 15m
  17. ema9 - 5.58588
  18. ema21 - 5.58169
  19. ema50 - 5.62704
  20. ema100 - 5.71909
  21. price_ema9_diff - 0.0086131
  22. ema9_ema21_diff - 0.000751233
  23. ema21_ema50_diff - -0.00806012
  24. price_ema100_diff - -0.0148786
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.569149
  28. kc_percentage - 0.82818
  29. kc_width_percentage - 0.0285515
    30. ¸
  30. 5m
  31. ema9 - 5.59964
  32. ema21 - 5.58706
  33. ema50 - 5.5789
  34. ema100 - 5.58042
  35. price_ema9_diff - 0.00613559
  36. ema9_ema21_diff - 0.00225188
  37. ema21_ema50_diff - 0.00146246
  38. price_ema100_diff - 0.00960108
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.653392
  42. kc_percentage - 1.12385
  43. kc_width_percentage - 0.0132044
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102540
  47. 5m_price_ema100_diff: 0.00650016
  48. 5m_price: 103206
  49. 5m_correlation_with_coin: 0.797703
  50. btc_indicators
  51. 15m_ema100: 102831
  52. 15m_price_ema100_diff: 0.00365537
  53. 15m_price: 103206
  54. btc_indicators
  55. 1H_ema100: 103308
  56. 1H_price_ema100_diff: -0.000980448
  57. 1H_price: 103206
    58. ¸

Short Trade on ICP

The 13 May 2025 at 05:27:17

With 286.1766 ICP at 5.634$ per unit.

Position size of 1612.319 $

Take profit at 5.5921 (0.74 %) and Stop Loss at 5.662 (0.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -48.33 %

Symbol Start at Seach Score Trade Score Trades Count
VET 2025-05-13 05:31:20 0.9814 -100 2
APT 2025-05-13 05:30:54 0.9783 -35 2
HBAR 2025-05-13 05:28:29 0.9819 -100 1
BNB 2025-05-13 05:29:55 0.9739 40 2
XLM 2025-05-13 05:27:26 0.9789 -100 1
GALA 2025-05-13 05:30:33 0.9694 30 2
UNI 2025-05-13 05:27:10 0.9729 -100 1
CRV 2025-05-13 05:27:47 0.9703 30 1
BCH 2025-05-13 05:26:38 0.9657 -100 1

📌 Time Data

Start at Closed at Duration
13 May 2025
05:27:17		 13 May 2025
06:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.634 5.662 5.5921 1.5 5.428
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 5.634
  • Stop Loss: 5.662
  • Take Profit: 5.5921

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.662 - 5.634 = 0.028

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.634 - 5.5921 = 0.0419

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0419 / 0.028 = 1.4964

📌 Position Size

Amount Margin Quantity Leverage
1612.319 100 286.1766 16.12
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 0.028

Taille de position = 8 / 0.028 = 285.71

Taille de position USD = 285.71 x 5.634 = 1609.69

Donc, tu peux acheter 285.71 avec un stoploss a 5.662

Avec un position size USD de 1609.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 285.71 x 0.028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 285.71 x 0.0419 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 285.71
  • Taille de position USD 1609.69
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4964

📌 Peformances

TP % Target TP $ Target
0.74 % 11.99 $
SL % Target SL $ Target
0.5 % 8.01 $
PNL PNL %
12.02 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.47923322683705 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.578
            [stop_loss] => 5.662
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 5.564
            [stop_loss] => 5.662
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 5.55
            [stop_loss] => 5.662
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 5.536
            [stop_loss] => 5.662
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 5.522
            [stop_loss] => 5.662
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 5.508
            [stop_loss] => 5.662
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 5.494
            [stop_loss] => 5.662
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 5.48
            [stop_loss] => 5.662
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 5.466
            [stop_loss] => 5.662
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 5.452
            [stop_loss] => 5.662
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 5.438
            [stop_loss] => 5.662
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 07:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.050000000000001
            [max_drawdown] => 0.026999999999999
            [rr_ratio] => 1.85
            [high] => 5.66100000
            [low] => 5.58400000
            [mfe_pct] => 0.89
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 1.85
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T05:27:17-04:00
            [end_at] => 2025-05-13T07:27:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.061
            [max_drawdown] => 0.088
            [rr_ratio] => 0.69
            [high] => 5.72200000
            [low] => 5.57300000
            [mfe_pct] => 1.08
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T05:27:17-04:00
            [end_at] => 2025-05-13T11:27:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.64000000
            [high_after] => 5.72200000
            [low_before] => 5.53100000
            [low_after] => 5.57300000
            [is_new_high] => 
            [is_new_low] => 
        )

)