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Trade

sell - ICP

Status
win
2025-05-13 02:09:54
40 minutes
PNL
0.86
Entry: 5.606
Last: 5.55800000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.7855
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.65
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 2.36

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.02132507568
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 5.62552
  4. ema21 - 5.70354
  5. ema50 - 5.71441
  6. ema100 - 5.63127
  7. price_ema9_diff - -0.00347086
  8. ema9_ema21_diff - -0.0136794
  9. ema21_ema50_diff - -0.00190216
  10. price_ema100_diff - -0.00448804
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.428825
  14. kc_percentage - 0.291584
  15. kc_width_percentage - 0.0802236
    16. ¸
  16. 15m
  17. ema9 - 5.56222
  18. ema21 - 5.58027
  19. ema50 - 5.65563
  20. ema100 - 5.72496
  21. price_ema9_diff - 0.00787066
  22. ema9_ema21_diff - -0.00323565
  23. ema21_ema50_diff - -0.0133245
  24. price_ema100_diff - -0.0207808
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.515597
  28. kc_percentage - 0.658795
  29. kc_width_percentage - 0.0317705
    30. ¸
  30. 5m
  31. ema9 - 5.57224
  32. ema21 - 5.5598
  33. ema50 - 5.56671
  34. ema100 - 5.60751
  35. price_ema9_diff - 0.00605755
  36. ema9_ema21_diff - 0.00223675
  37. ema21_ema50_diff - -0.0012403
  38. price_ema100_diff - -0.000269411
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.642818
  42. kc_percentage - 1.05893
  43. kc_width_percentage - 0.0145401
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102339
  47. 5m_price_ema100_diff: 0.00187772
  48. 5m_price: 102531
  49. 5m_correlation_with_coin: 0.760105
  50. btc_indicators
  51. 15m_ema100: 102808
  52. 15m_price_ema100_diff: -0.00269354
  53. 15m_price: 102531
  54. btc_indicators
  55. 1H_ema100: 103231
  56. 1H_price_ema100_diff: -0.00677915
  57. 1H_price: 102531
    58. ¸

Short Trade on ICP

The 13 May 2025 at 02:09:54

With 250.0968 ICP at 5.606$ per unit.

Position size of 1402.0427 $

Take profit at 5.558 (0.86 %) and Stop Loss at 5.638 (0.57 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -74 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-05-13 02:12:44 0.9724 -35 2
IOTA 2025-05-13 02:14:00 0.9721 -35 2
TON 2025-05-13 02:11:33 0.9742 -100 1
VET 2025-05-13 02:17:45 0.9708 -100 1
REZ 2025-05-13 02:12:35 0.9696 30 1
ONDO 2025-05-13 02:12:20 0.9685 -100 1
XLM 2025-05-13 02:13:25 0.9595 -100 2
ZK 2025-05-13 02:13:04 0.9637 -100 1
DOGE 2025-05-13 02:16:07 0.9568 -100 1
LINK 2025-05-13 02:15:46 0.9557 -100 1

📌 Time Data

Start at Closed at Duration
13 May 2025
02:09:54		 13 May 2025
02:50:00		 40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.606 5.638 5.558 1.5 5.351
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 5.606
  • Stop Loss: 5.638
  • Take Profit: 5.558

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.638 - 5.606 = 0.032

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.606 - 5.558 = 0.048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.048 / 0.032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1402.0427 100 250.0968 14.02
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 0.032

Taille de position = 8 / 0.032 = 250

Taille de position USD = 250 x 5.606 = 1401.5

Donc, tu peux acheter 250 avec un stoploss a 5.638

Avec un position size USD de 1401.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 250 x 0.032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 250 x 0.048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 250
  • Taille de position USD 1401.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.57 % 8 $
PNL PNL %
12 $ 0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.19621833749554 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.542
            [stop_loss] => 5.638
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 04:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.526
            [stop_loss] => 5.638
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 5.51
            [stop_loss] => 5.638
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 5.494
            [stop_loss] => 5.638
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 5.478
            [stop_loss] => 5.638
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 5.462
            [stop_loss] => 5.638
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 5.446
            [stop_loss] => 5.638
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 5.43
            [stop_loss] => 5.638
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 5.414
            [stop_loss] => 5.638
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 5.398
            [stop_loss] => 5.638
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 5.382
            [stop_loss] => 5.638
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 05:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.055
            [max_drawdown] => 0.027
            [rr_ratio] => 2.04
            [high] => 5.63300000
            [low] => 5.55100000
            [mfe_pct] => 0.98
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 2.04
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T02:09:54-04:00
            [end_at] => 2025-05-13T04:09:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.075
            [max_drawdown] => 0.062
            [rr_ratio] => 1.21
            [high] => 5.66800000
            [low] => 5.53100000
            [mfe_pct] => 1.34
            [mae_pct] => 1.11
            [mfe_mae_ratio] => 1.21
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T02:09:54-04:00
            [end_at] => 2025-05-13T08:09:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.61600000
            [high_after] => 5.66800000
            [low_before] => 5.43500000
            [low_after] => 5.53100000
            [is_new_high] => 
            [is_new_low] => 
        )

)