Trade

buy - FARTCOIN

Status
win
2025-07-10 07:11:48
8 minutes
PNL
1.04
Entry: 1.154
Last: 1.16600000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.29
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.6
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.005080684846
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 1.15272
  4. ema21 - 1.12787
  5. ema50 - 1.10887
  6. ema100 - 1.11567
  7. price_ema9_diff - 0.00145425
  8. ema9_ema21_diff - 0.0220316
  9. ema21_ema50_diff - 0.0171299
  10. price_ema100_diff - 0.0347053
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.624443
  14. kc_percentage - 0.786437
  15. kc_width_percentage - 0.0752951
  16. volume_ema_diff - -0.340196
  17. volume_ema1 - 3476899.8188149
  18. volume_ema2 - 5269602.9205242
  19. ¸
  20. 15m
  21. ema9 - 1.16456
  22. ema21 - 1.16178
  23. ema50 - 1.14253
  24. ema100 - 1.11741
  25. price_ema9_diff - -0.00873089
  26. ema9_ema21_diff - 0.00239341
  27. ema21_ema50_diff - 0.016848
  28. price_ema100_diff - 0.0331005
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.47343
  32. kc_percentage - 0.308299
  33. kc_width_percentage - 0.0358746
  34. volume_ema_diff - -0.25845
  35. volume_ema1 - 929010.03464311
  36. volume_ema2 - 1252796.2864929
  37. ¸
  38. 5m
  39. ema9 - 1.16086
  40. ema21 - 1.16514
  41. ema50 - 1.16539
  42. ema100 - 1.15723
  43. price_ema9_diff - -0.00556914
  44. ema9_ema21_diff - -0.00367487
  45. ema21_ema50_diff - -0.000213516
  46. price_ema100_diff - -0.00245393
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.342628
  50. kc_percentage - -0.0400683
  51. kc_width_percentage - 0.0168467
  52. volume_ema_diff - -0.305412
  53. volume_ema1 - 257989.80631039
  54. volume_ema2 - 371428.95879128
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 111102
  59. 5m_price_ema100_diff: -0.000327377
  60. 5m_price: 111065
  61. 5m_correlation_with_coin: 0.341009
  62. btc_indicators
  63. 15m_ema100: 110506
  64. 15m_price_ema100_diff: 0.00506619
  65. 15m_price: 111065
  66. btc_indicators
  67. 1H_ema100: 109269
  68. 1H_price_ema100_diff: 0.016443
  69. 1H_price: 111065
  70. ¸

Long Trade on FARTCOIN

The 10 Jul 2025 at 07:11:48

With 1050 FARTCOIN at 1.154$ per unit.

Position size of 1212 $

Take profit at 1.166 (1 %) and Stop Loss at 1.147 (0.61 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: -29.63 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-06-03 00:16:50 0.9545 -72 5
TAI 2025-05-08 14:43:16 0.9545 -100 2
SOON 2025-06-24 20:41:57 0.9536 -100 1
BTC 2025-06-09 22:12:04 0.9532 30 1
ARB 2025-06-03 00:26:22 0.9507 45 2
ADA 2025-06-03 00:36:38 0.9508 30 1
LQTY 2025-06-26 07:01:46 0.9502 -100 1
FET 2025-06-03 00:24:52 0.9501 30 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
07:11:48
10 Jul 2025
07:20:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.154 1.147 1.166 1.7 1.459
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 1.154
  • Stop Loss: 1.147
  • Take Profit: 1.166

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.147 - 1.154 = -0.0069999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.154 - 1.166 = -0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.012 / -0.0069999999999999 = 1.7143

📌 Position Size

Amount Margin Quantity Leverage
1212 100 1050 12.12
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 -0.0069999999999999

Taille de position = 8 / -0.0069999999999999 = -1142.86

Taille de position USD = -1142.86 x 1.154 = -1318.86

Donc, tu peux acheter -1142.86 avec un stoploss a 1.147

Avec un position size USD de -1318.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1142.86 x -0.0069999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1142.86 x -0.012 = 13.71

Si Take Profit atteint, tu gagneras 13.71$

Résumé

  • Taille de position -1142.86
  • Taille de position USD -1318.86
  • Perte potentielle 8
  • Gain potentiel 13.71
  • Risk-Reward Ratio 1.7143

📌 Peformances

TP % Target TP $ Target
1 % 13 $
SL % Target SL $ Target
0.61 % 7.3 $
PNL PNL %
13 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 1.168
            [stop_loss] => 1.147
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 07:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.1715
            [stop_loss] => 1.147
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.175
            [stop_loss] => 1.147
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.1785
            [stop_loss] => 1.147
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.182
            [stop_loss] => 1.147
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.1855
            [stop_loss] => 1.147
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.189
            [stop_loss] => 1.147
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.1925
            [stop_loss] => 1.147
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.196
            [stop_loss] => 1.147
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.1995
            [stop_loss] => 1.147
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.203
            [stop_loss] => 1.147
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 08:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)