Trade

sell - ICP

Status
win
2025-06-14 20:19:39
10 minutes
PNL
0.56
Entry: 5.501
Last: 5.47000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1524
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.58
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01380100395
Details
  1. score: 1
  2. 1H
  3. ema9 - 5.48925
  4. ema21 - 5.51323
  5. ema50 - 5.57838
  6. ema100 - 5.70653
  7. price_ema9_diff - 0.00214004
  8. ema9_ema21_diff - -0.00435021
  9. ema21_ema50_diff - -0.0116792
  10. price_ema100_diff - -0.036017
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.477285
  14. kc_percentage - 0.464414
  15. kc_width_percentage - 0.054845
  16. volume_ema_diff - -0.36557
  17. ¸
  18. 15m
  19. ema9 - 5.47955
  20. ema21 - 5.47655
  21. ema50 - 5.49905
  22. ema100 - 5.51639
  23. price_ema9_diff - 0.00391296
  24. ema9_ema21_diff - 0.000548163
  25. ema21_ema50_diff - -0.00409158
  26. price_ema100_diff - -0.00279018
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.545395
  30. kc_percentage - 0.71925
  31. kc_width_percentage - 0.0205564
  32. volume_ema_diff - -0.15777
  33. ¸
  34. 5m
  35. ema9 - 5.48014
  36. ema21 - 5.47514
  37. ema50 - 5.47142
  38. ema100 - 5.4735
  39. price_ema9_diff - 0.00380638
  40. ema9_ema21_diff - 0.000912707
  41. ema21_ema50_diff - 0.000679453
  42. price_ema100_diff - 0.00502277
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.627352
  46. kc_percentage - 1.00187
  47. kc_width_percentage - 0.00929148
  48. volume_ema_diff - 0.795244
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 105035
  53. 5m_price_ema100_diff: 0.00358027
  54. 5m_price: 105411
  55. 5m_correlation_with_coin: 0.49526
  56. btc_indicators
  57. 15m_ema100: 105141
  58. 15m_price_ema100_diff: 0.00256664
  59. 15m_price: 105411
  60. btc_indicators
  61. 1H_ema100: 106382
  62. 1H_price_ema100_diff: -0.00912895
  63. 1H_price: 105411
  64. ¸

Short Trade on ICP

The 14 Jun 2025 at 20:19:39

With 386.4453 ICP at 5.501$ per unit.

Position size of 2125.8357 $

Take profit at 5.4699 (0.57 %) and Stop Loss at 5.5217 (0.38 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -28.75 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-05-31 03:42:59 0.9558 40 2
ARB 2025-06-14 20:20:21 0.9546 30 1
NEIROCTO 2025-05-31 03:29:57 0.9514 -100 4
TURBO 2025-05-31 03:35:57 0.9535 -100 1
KAS 2025-06-14 20:24:14 0.9511 -100 1
BOME 2025-05-31 03:39:38 0.9503 -100 2
BABY 2025-05-31 03:28:09 0.9501 30 2
SPX 2025-08-15 19:03:40 0.9483 70 1

📌 Time Data

Start at Closed at Duration
14 Jun 2025
20:19:39
14 Jun 2025
20:30:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.501 5.5217 5.4699 1.5 5.364
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 5.501
  • Stop Loss: 5.5217
  • Take Profit: 5.4699

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.5217 - 5.501 = 0.0207

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.501 - 5.4699 = 0.0311

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0311 / 0.0207 = 1.5024

📌 Position Size

Amount Margin Quantity Leverage
2125.8357 100 386.4453 21.26
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 0.0207

Taille de position = 8 / 0.0207 = 386.47

Taille de position USD = 386.47 x 5.501 = 2125.97

Donc, tu peux acheter 386.47 avec un stoploss a 5.5217

Avec un position size USD de 2125.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 386.47 x 0.0207 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 386.47 x 0.0311 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 386.47
  • Taille de position USD 2125.97
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5024

📌 Peformances

TP % Target TP $ Target
0.57 % 12.02 $
SL % Target SL $ Target
0.38 % 8 $
PNL PNL %
11.98 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0909 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.459
            [stop_loss] => 5.522
            [rr_ratio] => 2
            [closed_at] => 2025-06-14 21:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.4485
            [stop_loss] => 5.522
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-14 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.438
            [stop_loss] => 5.522
            [rr_ratio] => 3
            [closed_at] => 2025-06-14 21:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 5.4275
            [stop_loss] => 5.522
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-14 22:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 5.417
            [stop_loss] => 5.522
            [rr_ratio] => 4
            [closed_at] => 2025-06-14 22:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 5.4065
            [stop_loss] => 5.522
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-14 23:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 5.396
            [stop_loss] => 5.522
            [rr_ratio] => 5
            [closed_at] => 2025-06-14 23:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 5.3855
            [stop_loss] => 5.522
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-14 23:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 5.375
            [stop_loss] => 5.522
            [rr_ratio] => 6
            [closed_at] => 2025-06-15 01:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 5.3645
            [stop_loss] => 5.522
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-15 01:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.067
            [max_drawdown] => 0.0059999999999993
            [rr_ratio] => 11.17
            [high] => 5.50700000
            [low] => 5.43400000
            [mfe_pct] => 1.22
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 11.17
            [candles_analyzed] => 24
            [start_at] => 2025-06-14T20:19:39-04:00
            [end_at] => 2025-06-14T22:19:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.139
            [max_drawdown] => 0.0059999999999993
            [rr_ratio] => 23.17
            [high] => 5.50700000
            [low] => 5.36200000
            [mfe_pct] => 2.53
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 23.17
            [candles_analyzed] => 72
            [start_at] => 2025-06-14T20:19:39-04:00
            [end_at] => 2025-06-15T02:19:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.52300000
            [high_after] => 5.50700000
            [low_before] => 5.41300000
            [low_after] => 5.36200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)