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Trade

sell - FARTCOIN

Status
loss
2025-05-16 22:57:18
1 hour
PNL
-1.00
Entry: 1.1996
Last: 1.21200000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -3.6785
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
ML Trade Score: -70
ML Pullback Score: 2.69

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.008186271594
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 1.21183
  4. ema21 - 1.24077
  5. ema50 - 1.27596
  6. ema100 - 1.30715
  7. price_ema9_diff - -0.0100931
  8. ema9_ema21_diff - -0.0233272
  9. ema21_ema50_diff - -0.0275766
  10. price_ema100_diff - -0.0822816
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.383305
  14. kc_percentage - 0.209093
  15. kc_width_percentage - 0.112848
    16. ¸
  16. 15m
  17. ema9 - 1.18506
  18. ema21 - 1.19558
  19. ema50 - 1.22246
  20. ema100 - 1.2503
  21. price_ema9_diff - 0.0122627
  22. ema9_ema21_diff - -0.00879704
  23. ema21_ema50_diff - -0.0219868
  24. price_ema100_diff - -0.0405508
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.489442
  28. kc_percentage - 0.585306
  29. kc_width_percentage - 0.0498806
    30. ¸
  30. 5m
  31. ema9 - 1.18814
  32. ema21 - 1.18286
  33. ema50 - 1.18972
  34. ema100 - 1.20592
  35. price_ema9_diff - 0.00964249
  36. ema9_ema21_diff - 0.00446417
  37. ema21_ema50_diff - -0.00576761
  38. price_ema100_diff - -0.00524798
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.630903
  42. kc_percentage - 1.01049
  43. kc_width_percentage - 0.027211
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103338
  47. 5m_price_ema100_diff: -0.00103774
  48. 5m_price: 103231
  49. 5m_correlation_with_coin: 0.653004
  50. btc_indicators
  51. 15m_ema100: 103586
  52. 15m_price_ema100_diff: -0.00342789
  53. 15m_price: 103231
  54. btc_indicators
  55. 1H_ema100: 103312
  56. 1H_price_ema100_diff: -0.000782265
  57. 1H_price: 103231
    58. ¸

Short Trade on FARTCOIN

The 16 May 2025 at 22:57:18

With 651.4972 FARTCOIN at 1.1996$ per unit.

Position size of 781.5361 $

Take profit at 1.1812 (1.53 %) and Stop Loss at 1.2119 (1.03 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 11 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-06-21 20:01:03 0.9614 -100 1
ASR 2025-08-13 01:49:45 0.9613 30 1
SOL 2025-06-17 15:11:09 0.9553 -100 2
PAXG 2025-05-01 01:46:59 0.9532 50 2
MANA 2025-08-18 01:12:27 0.9533 30 1
ERA 2025-07-30 10:52:55 0.953 30 1
MOVE 2025-08-18 01:16:06 0.952 60 1
CETUS 2025-05-25 10:49:50 0.951 30 1
RARE 2025-05-17 00:42:30 0.9508 40 1
AVAX 2025-07-30 10:58:37 0.9507 40 1

📌 Time Data

Start at Closed at Duration
16 May 2025
22:57:18		 17 May 2025
00:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1996 1.2119 1.1812 1.5 0.9464
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 1.1996
  • Stop Loss: 1.2119
  • Take Profit: 1.1812

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.2119 - 1.1996 = 0.0123

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1996 - 1.1812 = 0.0184

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0184 / 0.0123 = 1.4959

📌 Position Size

Amount Margin Quantity Leverage
781.5361 100 651.4972 7.82
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 0.0123

Taille de position = 8 / 0.0123 = 650.41

Taille de position USD = 650.41 x 1.1996 = 780.23

Donc, tu peux acheter 650.41 avec un stoploss a 1.2119

Avec un position size USD de 780.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 650.41 x 0.0123 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 650.41 x 0.0184 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 650.41
  • Taille de position USD 780.23
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4959

📌 Peformances

TP % Target TP $ Target
1.53 % 11.99 $
SL % Target SL $ Target
1.03 % 8.01 $
PNL PNL %
-7.82 $ -1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1083333333333 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.181
            [entry_price] => 1.2
            [stop_loss] => 1.2132
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-17 00:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.181
            [entry_price] => 1.2
            [stop_loss] => 1.2144
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-17 01:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.181
            [entry_price] => 1.2
            [stop_loss] => 1.2156
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-17 01:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.181
            [entry_price] => 1.2
            [stop_loss] => 1.218
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-17 01:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0179
            [max_drawdown] => 0.0138
            [rr_ratio] => 1.3
            [high] => 1.21340000
            [low] => 1.18170000
            [mfe_pct] => 1.49
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 1.3
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T22:57:18-04:00
            [end_at] => 2025-05-17T00:57:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.0138
            [rr_ratio] => 2.75
            [high] => 1.21340000
            [low] => 1.16160000
            [mfe_pct] => 3.17
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 2.75
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T22:57:18-04:00
            [end_at] => 2025-05-17T04:57:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.21660000
            [high_after] => 1.21340000
            [low_before] => 1.16000000
            [low_after] => 1.16160000
            [is_new_high] => 
            [is_new_low] => 
        )

)