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Trade

buy - FLOKI

Status
win
2025-05-22 15:50:59
14 minutes
PNL
0.74
Entry: 0.0001088
Last: 0.00010960

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.1179
Prediction 1 Accuracy
Weak Trade
0.69
Prediction 2 Accuracy
0 0.73
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 3.638165798E-7
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 0.000109644
  4. ema21 - 0.000107705
  5. ema50 - 0.000104175
  6. ema100 - 0.000102003
  7. price_ema9_diff - -0.00806444
  8. ema9_ema21_diff - 0.0179998
  9. ema21_ema50_diff - 0.0338848
  10. price_ema100_diff - 0.0662404
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.568129
  14. kc_percentage - 0.603142
  15. kc_width_percentage - 0.0789576
    16. ¸
  16. 15m
  17. ema9 - 0.000109784
  18. ema21 - 0.000110129
  19. ema50 - 0.000109206
  20. ema100 - 0.000106892
  21. price_ema9_diff - -0.00933178
  22. ema9_ema21_diff - -0.00313718
  23. ema21_ema50_diff - 0.00846009
  24. price_ema100_diff - 0.0174705
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.384443
  28. kc_percentage - 0.0921566
  29. kc_width_percentage - 0.0308099
    30. ¸
  30. 5m
  31. ema9 - 0.000109376
  32. ema21 - 0.000109763
  33. ema50 - 0.000110168
  34. ema100 - 0.000110346
  35. price_ema9_diff - -0.00563722
  36. ema9_ema21_diff - -0.00352102
  37. ema21_ema50_diff - -0.00368214
  38. price_ema100_diff - -0.0143816
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.284022
  42. kc_percentage - -0.198432
  43. kc_width_percentage - 0.0129076
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111285
  47. 5m_price_ema100_diff: -0.00141728
  48. 5m_price: 111128
  49. 5m_correlation_with_coin: 0.577833
  50. btc_indicators
  51. 15m_ema100: 110315
  52. 15m_price_ema100_diff: 0.0073679
  53. 15m_price: 111128
  54. btc_indicators
  55. 1H_ema100: 107757
  56. 1H_price_ema100_diff: 0.0312796
  57. 1H_price: 111128
    58. ¸

Long Trade on FLOKI

The 22 May 2025 at 15:50:59

With 14660000 FLOKI at 0.0001088$ per unit.

Position size of 1594 $

Take profit at 0.0001096 (0.74 %) and Stop Loss at 0.0001082 (0.55 %)

That's a 1.3 RR Trade

📌 Similar Trades

Similar Trade Score: 2.5 %

Symbol Start at Seach Score Trade Score Trades Count
ETH 2025-07-02 22:42:49 0.9676 30 2
AVAX 2025-07-02 22:40:55 0.9661 50 1
RUNE 2025-07-02 22:25:42 0.9639 -100 2
DOG 2025-05-10 07:53:51 0.9642 40 2
TAIKO 2025-05-20 07:22:14 0.9642 30 2
ETC 2025-07-02 22:38:31 0.9639 40 1
ANIME 2025-06-10 00:53:02 0.9636 30 1
SEI 2025-06-27 10:28:50 0.9633 -100 1

📌 Time Data

Start at Closed at Duration
22 May 2025
15:50:59		 22 May 2025
16:05:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0001088 0.0001082 0.0001096 1.3 8.184E-5
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 0.0001088
  • Stop Loss: 0.0001082
  • Take Profit: 0.0001096

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0001082 - 0.0001088 = -6.0E-7

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0001088 - 0.0001096 = -7.9999999999999E-7

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -7.9999999999999E-7 / -6.0E-7 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
1594 100 14660000 15.94
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 -6.0E-7

Taille de position = 8 / -6.0E-7 = -13333333.33

Taille de position USD = -13333333.33 x 0.0001088 = -1450.67

Donc, tu peux acheter -13333333.33 avec un stoploss a 0.0001082

Avec un position size USD de -1450.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333333.33 x -6.0E-7 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333333.33 x -7.9999999999999E-7 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position -13333333.33
  • Taille de position USD -1450.67
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.74 % 12 $
SL % Target SL $ Target
0.55 % 8.8 $
PNL PNL %
12 $ 0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.45955882352941 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.00011
            [stop_loss] => 0.0001082
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 16:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0001103
            [stop_loss] => 0.0001082
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 16:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0001106
            [stop_loss] => 0.0001082
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.0001109
            [stop_loss] => 0.0001082
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.0001112
            [stop_loss] => 0.0001082
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0001115
            [stop_loss] => 0.0001082
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0001118
            [stop_loss] => 0.0001082
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.0001121
            [stop_loss] => 0.0001082
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0001124
            [stop_loss] => 0.0001082
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.0001127
            [stop_loss] => 0.0001082
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.000113
            [stop_loss] => 0.0001082
            [rr_ratio] => 7
            [closed_at] => 2025-05-22 17:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)