Trade

buy - APE

Status
loss
2025-05-23 00:35:51
1 hour
PNL
-0.52
Entry: 0.7049
Last: 0.70120000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.6
ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.002453022687
Details
  1. score: 2.18
  2. 1H
  3. ema9 - 0.708089
  4. ema21 - 0.703079
  5. ema50 - 0.691095
  6. ema100 - 0.680601
  7. price_ema9_diff - -0.00450433
  8. ema9_ema21_diff - 0.0071261
  9. ema21_ema50_diff - 0.0173403
  10. price_ema100_diff - 0.0357017
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.536754
  14. kc_percentage - 0.538549
  15. kc_width_percentage - 0.0506225
  16. ¸
  17. 15m
  18. ema9 - 0.711446
  19. ema21 - 0.71022
  20. ema50 - 0.706744
  21. ema100 - 0.70388
  22. price_ema9_diff - -0.00920118
  23. ema9_ema21_diff - 0.00172512
  24. ema21_ema50_diff - 0.00491884
  25. price_ema100_diff - 0.00144852
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.441344
  29. kc_percentage - 0.204252
  30. kc_width_percentage - 0.0262973
  31. ¸
  32. 5m
  33. ema9 - 0.709294
  34. ema21 - 0.711894
  35. ema50 - 0.711265
  36. ema100 - 0.708515
  37. price_ema9_diff - -0.00619498
  38. ema9_ema21_diff - -0.00365315
  39. ema21_ema50_diff - 0.000884599
  40. price_ema100_diff - -0.00510321
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.302572
  44. kc_percentage - -0.175714
  45. kc_width_percentage - 0.0144995
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 111151
  50. 5m_price_ema100_diff: -0.00505121
  51. 5m_price: 110590
  52. 5m_correlation_with_coin: 0.625181
  53. btc_indicators
  54. 15m_ema100: 111107
  55. 15m_price_ema100_diff: -0.00465035
  56. 15m_price: 110590
  57. btc_indicators
  58. 1H_ema100: 108228
  59. 1H_price_ema100_diff: 0.0218195
  60. 1H_price: 110590
  61. ¸

Long Trade on APE

The 23 May 2025 at 00:35:51

With 2174 APE at 0.7049$ per unit.

Position size of 1533 $

Take profit at 0.7104 (0.78 %) and Stop Loss at 0.7012 (0.52 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -23.13 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-05-23 00:43:04 0.9334 -35 2
ARB 2025-05-23 00:42:11 0.9245 30 2
HBAR 2025-05-23 00:36:31 0.9169 -100 1
LINK 2025-05-23 00:34:04 0.9164 50 1
DOT 2025-05-23 00:39:47 0.9093 -100 2
SHIB 2025-05-23 00:35:14 0.9138 -100 1
NEAR 2025-05-23 00:35:27 0.9018 30 1
TIA 2025-05-23 00:37:29 0.8948 40 1

📌 Time Data

Start at Closed at Duration
23 May 2025
00:35:51
23 May 2025
02:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7049 0.7012 0.7104 1.5 0.6602
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 0.7049
  • Stop Loss: 0.7012
  • Take Profit: 0.7104

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7012 - 0.7049 = -0.0036999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7049 - 0.7104 = -0.0055000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0055000000000001 / -0.0036999999999999 = 1.4865

📌 Position Size

Amount Margin Quantity Leverage
1533 100 2174 15.33
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 -0.0036999999999999

Taille de position = 8 / -0.0036999999999999 = -2162.16

Taille de position USD = -2162.16 x 0.7049 = -1524.11

Donc, tu peux acheter -2162.16 avec un stoploss a 0.7012

Avec un position size USD de -1524.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2162.16 x -0.0036999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2162.16 x -0.0055000000000001 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position -2162.16
  • Taille de position USD -1524.11
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4865

📌 Peformances

TP % Target TP $ Target
0.78 % 12 $
SL % Target SL $ Target
0.52 % 8 $
PNL PNL %
-8 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.61001560505036 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7104
            [entry_price] => 0.7049
            [stop_loss] => 0.70083
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-23 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7104
            [entry_price] => 0.7049
            [stop_loss] => 0.70046
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-23 02:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7104
            [entry_price] => 0.7049
            [stop_loss] => 0.70009
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-23 02:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7104
            [entry_price] => 0.7049
            [stop_loss] => 0.69935
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-23 02:20:00
            [result] => loss
        )

)