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Trade

buy - FARTCOIN

Status
win
2025-07-10 08:19:42
1 hour
PNL
1.05
Entry: 1.144
Last: 1.15600000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1875
Prediction 1 Accuracy
Weak Trade
0.52
Prediction 2 Accuracy
0 0.46
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.00544175761
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 1.15099
  4. ema21 - 1.12934
  5. ema50 - 1.11013
  6. ema100 - 1.11528
  7. price_ema9_diff - -0.00607727
  8. ema9_ema21_diff - 0.0191672
  9. ema21_ema50_diff - 0.0173112
  10. price_ema100_diff - 0.0257497
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.58082
  14. kc_percentage - 0.647614
  15. kc_width_percentage - 0.0776231
  16. volume_ema_diff - -0.259812
  17. volume_ema1 - 3921698.1675856
  18. volume_ema2 - 5298247.0551912
    19. ¸
  19. 15m
  20. ema9 - 1.15515
  21. ema21 - 1.15795
  22. ema50 - 1.14438
  23. ema100 - 1.12156
  24. price_ema9_diff - -0.00965253
  25. ema9_ema21_diff - -0.0024227
  26. ema21_ema50_diff - 0.0118548
  27. price_ema100_diff - 0.0199991
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.412865
  31. kc_percentage - 0.160723
  32. kc_width_percentage - 0.0363916
  33. volume_ema_diff - -0.170288
  34. volume_ema1 - 1049826.0931072
  35. volume_ema2 - 1265289.7704124
    36. ¸
  36. 5m
  37. ema9 - 1.15084
  38. ema21 - 1.15601
  39. ema50 - 1.16066
  40. ema100 - 1.15775
  41. price_ema9_diff - -0.00594559
  42. ema9_ema21_diff - -0.00447528
  43. ema21_ema50_diff - -0.00400743
  44. price_ema100_diff - -0.0118804
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.31836
  48. kc_percentage - -0.0375805
  49. kc_width_percentage - 0.0189627
  50. volume_ema_diff - 0.260532
  51. volume_ema1 - 530455.03912095
  52. volume_ema2 - 420818.05104265
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 111043
  56. 5m_price_ema100_diff: -0.00252618
  57. 5m_price: 110762
  58. 5m_correlation_with_coin: 0.34519
  59. btc_indicators
  60. 15m_ema100: 110579
  61. 15m_price_ema100_diff: 0.00165538
  62. 15m_price: 110762
  63. btc_indicators
  64. 1H_ema100: 109274
  65. 1H_price_ema100_diff: 0.0136182
  66. 1H_price: 110762
    67. ¸

Long Trade on FARTCOIN

The 10 Jul 2025 at 08:19:42

With 980.1 FARTCOIN at 1.144$ per unit.

Position size of 1121 $

Take profit at 1.156 (1 %) and Stop Loss at 1.136 (0.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -17.25 %

Symbol Start at Seach Score Trade Score Trades Count
1000CAT 2025-06-28 23:50:05 0.9612 30 1
FLOKI 2025-03-26 11:14:56 0.9571 -100 1
BNB 2025-03-27 08:14:13 0.9554 -100 1
BNB 2025-07-02 08:44:18 0.9525 50 1
TRX 2025-07-07 02:47:42 0.9541 30 1
AVAX 2025-06-08 19:57:27 0.9536 -100 1
JTO 2025-06-15 16:44:46 0.9525 27.5 4
TAI 2025-05-08 15:51:12 0.9531 60 1
PEPE 2025-03-26 10:40:00 0.9515 30 2
JASMY 2025-04-08 12:40:41 0.9511 -100 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
08:19:42		 10 Jul 2025
10:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.144 1.136 1.156 1.5 1.249
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 1.144
  • Stop Loss: 1.136
  • Take Profit: 1.156

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.136 - 1.144 = -0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.144 - 1.156 = -0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.012 / -0.008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1121 100 980.1 11.21
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 -0.008

Taille de position = 8 / -0.008 = -1000

Taille de position USD = -1000 x 1.144 = -1144

Donc, tu peux acheter -1000 avec un stoploss a 1.136

Avec un position size USD de -1144$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1000 x -0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1000 x -0.012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1000
  • Taille de position USD -1144
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.7 % 7.8 $
PNL PNL %
12 $ 1.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4108 % 58.74 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.16
            [stop_loss] => 1.136
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 10:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.164
            [stop_loss] => 1.136
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 10:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.168
            [stop_loss] => 1.136
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 10:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.172
            [stop_loss] => 1.136
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 10:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.176
            [stop_loss] => 1.136
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 12:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.18
            [stop_loss] => 1.136
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 12:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.184
            [stop_loss] => 1.136
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 12:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.188
            [stop_loss] => 1.136
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 12:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.192
            [stop_loss] => 1.136
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 13:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.196
            [stop_loss] => 1.136
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 13:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.2
            [stop_loss] => 1.136
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 13:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)