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Trade

buy - DOGE

Status
loss
2025-05-18 14:01:56
1 hour
PNL
-1.05
Entry: 0.2282
Last: 0.22580000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 2.2522
Prediction 1 Accuracy
Strong Trade
0.55
Prediction 2 Accuracy
1 0.59
ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.001603131412
Details
  1. score: 2.21
  2. 1H
  3. ema9 - 0.228169
  4. ema21 - 0.224097
  5. ema50 - 0.222095
  6. ema100 - 0.223264
  7. price_ema9_diff - 0.000177589
  8. ema9_ema21_diff - 0.018169
  9. ema21_ema50_diff - 0.00901483
  10. price_ema100_diff - 0.0221512
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.589569
  14. kc_percentage - 0.726963
  15. kc_width_percentage - 0.0751974
    16. ¸
  16. 15m
  17. ema9 - 0.232506
  18. ema21 - 0.230804
  19. ema50 - 0.226656
  20. ema100 - 0.222717
  21. price_ema9_diff - -0.0184778
  22. ema9_ema21_diff - 0.00737234
  23. ema21_ema50_diff - 0.0183004
  24. price_ema100_diff - 0.0246601
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.452371
  28. kc_percentage - 0.227446
  29. kc_width_percentage - 0.0445122
    30. ¸
  30. 5m
  31. ema9 - 0.231912
  32. ema21 - 0.233019
  33. ema50 - 0.231804
  34. ema100 - 0.229215
  35. price_ema9_diff - -0.0159661
  36. ema9_ema21_diff - -0.00475155
  37. ema21_ema50_diff - 0.00524284
  38. price_ema100_diff - -0.0043887
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.29565
  42. kc_percentage - -0.205235
  43. kc_width_percentage - 0.0297642
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104768
  47. 5m_price_ema100_diff: -0.00434274
  48. 5m_price: 104314
  49. 5m_correlation_with_coin: 0.793858
  50. btc_indicators
  51. 15m_ema100: 104003
  52. 15m_price_ema100_diff: 0.00298545
  53. 15m_price: 104314
  54. btc_indicators
  55. 1H_ema100: 103554
  56. 1H_price_ema100_diff: 0.0073368
  57. 1H_price: 104314
    58. ¸

Long Trade on DOGE

The 18 May 2025 at 14:01:56

With 3327 DOGE at 0.2282$ per unit.

Position size of 759.2 $

Take profit at 0.2318 (1.6 %) and Stop Loss at 0.2258 (1.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -77.78 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-05-18 13:58:05 0.9824 -100 2
LTC 2025-05-18 14:04:54 0.9829 -100 2
EIGEN 2025-05-18 14:11:49 0.9806 -100 1
SOL 2025-05-18 13:52:56 0.9798 -100 1
SOL 2025-04-12 13:10:25 0.978 100 1
ATOM 2025-05-18 13:57:52 0.9774 -100 2
ADA 2025-04-12 12:50:15 0.978 -100 1
VIRTUAL 2025-05-18 14:06:05 0.9778 -100 1
LINK 2025-05-18 13:52:35 0.9767 -100 1

📌 Time Data

Start at Closed at Duration
18 May 2025
14:01:56		 18 May 2025
15:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2282 0.2258 0.2318 1.5 0.1637
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 0.2282
  • Stop Loss: 0.2258
  • Take Profit: 0.2318

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2258 - 0.2282 = -0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2282 - 0.2318 = -0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0036 / -0.0024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
759.2 100 3327 7.59
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 -0.0024

Taille de position = 8 / -0.0024 = -3333.33

Taille de position USD = -3333.33 x 0.2282 = -760.67

Donc, tu peux acheter -3333.33 avec un stoploss a 0.2258

Avec un position size USD de -760.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3333.33 x -0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3333.33 x -0.0036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -3333.33
  • Taille de position USD -760.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.6 % 12 $
SL % Target SL $ Target
1.1 % 8 $
PNL PNL %
-8 $ -1.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.432953549518 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2318
            [entry_price] => 0.2282
            [stop_loss] => 0.22556
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-18 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2318
            [entry_price] => 0.2282
            [stop_loss] => 0.22532
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-18 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2318
            [entry_price] => 0.2282
            [stop_loss] => 0.22508
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-18 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2318
            [entry_price] => 0.2282
            [stop_loss] => 0.2246
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-18 15:30:00
            [result] => loss
        )

)