Short Trade on FARTCOIN

The 18 Apr 2025 at 21:52:10

With 980.5725 FARTCOIN at 0.7654$ per unit.

Position size of 750.5302 $

Take profit at 0.7532 (1.59 %) and Stop Loss at 0.7736 (1.07 %)

That's a 1.49 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 1
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.005438999736
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.754117
  4. ema21 - 0.766103
  5. ema50 - 0.803193
  6. price_ema9_diff - 0.0147266
  7. ema9_ema21_diff - -0.0156452
  8. ema21_ema50_diff - -0.0461783
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.469442
  12. kc_percentage - 0.506675
  13. kc_width_percentage - 0.126931
  14. ¸
  15. 15m
  16. ema9 - 0.752751
  17. ema21 - 0.751042
  18. ema50 - 0.754678
  19. price_ema9_diff - 0.0168417
  20. ema9_ema21_diff - 0.00227504
  21. ema21_ema50_diff - -0.00481772
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.605275
  25. kc_percentage - 0.860305
  26. kc_width_percentage - 0.0522508
  27. ¸
  28. 5m
  29. ema9 - 0.757696
  30. ema21 - 0.752095
  31. ema50 - 0.749902
  32. price_ema9_diff - 0.0102422
  33. ema9_ema21_diff - 0.0074479
  34. ema21_ema50_diff - 0.00292475
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.702087
  38. kc_percentage - 1.11312
  39. kc_width_percentage - 0.0276968
  40. ¸

📌 Time Data

Start at Closed at Duration
18 Apr 2025
21:52:10
18 Apr 2025
22:20:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7654 0.7736 0.7532 1.49 0.353
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 0.7654
  • Stop Loss: 0.7736
  • Take Profit: 0.7532

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7736 - 0.7654 = 0.0082

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7654 - 0.7532 = 0.0122

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0122 / 0.0082 = 1.4878

📌 Position Size

Amount Margin Quantity Leverage
750.5302 100 980.5725 7.51
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 0.0082

Taille de position = 8 / 0.0082 = 975.61

Taille de position USD = 975.61 x 0.7654 = 746.73

Donc, tu peux acheter 975.61 avec un stoploss a 0.7736

Avec un position size USD de 746.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 975.61 x 0.0082 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 975.61 x 0.0122 = 11.9

Si Take Profit atteint, tu gagneras 11.9$

Résumé

  • Taille de position 975.61
  • Taille de position USD 746.73
  • Perte potentielle 8
  • Gain potentiel 11.9
  • Risk-Reward Ratio 1.4878

📌 Peformances

TP % Target TP $ Target
1.59 % 11.96 $
SL % Target SL $ Target
1.07 % 8.04 $
PNL PNL %
-8.04 $ -1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4632871701071 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7532
            [entry_price] => 0.7654
            [stop_loss] => 0.77442
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 22:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7532
            [entry_price] => 0.7654
            [stop_loss] => 0.77524
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 22:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7532
            [entry_price] => 0.7654
            [stop_loss] => 0.77606
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 22:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7532
            [entry_price] => 0.7654
            [stop_loss] => 0.7777
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 22:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0049
            [max_drawdown] => 0.0346
            [rr_ratio] => 0.14
            [high] => 0.80000000
            [low] => 0.76050000
            [mfe_pct] => 0.64
            [mae_pct] => 4.52
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T21:52:10-04:00
            [end_at] => 2025-04-18T23:52:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0108
            [max_drawdown] => 0.0394
            [rr_ratio] => 0.27
            [high] => 0.80480000
            [low] => 0.75460000
            [mfe_pct] => 1.41
            [mae_pct] => 5.15
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T21:52:10-04:00
            [end_at] => 2025-04-19T03:52:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.76640000
            [high_after] => 0.80480000
            [low_before] => 0.72520000
            [low_after] => 0.75460000
            [is_new_high] => 
            [is_new_low] => 
        )

)