Long Trade on TON

The 12 Apr 2025 at 19:41:02

With 615.0989 TON at 2.9831$ per unit.

Position size of 1834.9016 $

Take profit at 3.0026 (0.65 %) and Stop Loss at 2.9701 (0.44 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score:
Prediction 1 Probability
Weak 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 - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.008670691935
Details
  1. score: 2.18
  2. 1H
  3. ema9 - 3.00826
  4. ema21 - 2.98047
  5. ema50 - 2.9642
  6. price_ema9_diff - -0.00844483
  7. ema9_ema21_diff - 0.00932565
  8. ema21_ema50_diff - 0.00548971
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.519645
  12. kc_percentage - 0.506016
  13. kc_width_percentage - 0.0509027
  14. ¸
  15. 15m
  16. ema9 - 3.01013
  17. ema21 - 3.01895
  18. ema50 - 3.00048
  19. price_ema9_diff - -0.00895458
  20. ema9_ema21_diff - -0.00292335
  21. ema21_ema50_diff - 0.00615623
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.36146
  25. kc_percentage - -0.0377712
  26. kc_width_percentage - 0.022414
  27. ¸
  28. 5m
  29. ema9 - 2.99169
  30. ema21 - 3.00723
  31. ema50 - 3.021
  32. price_ema9_diff - -0.00285798
  33. ema9_ema21_diff - -0.0051693
  34. ema21_ema50_diff - -0.00455498
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.276482
  38. kc_percentage - -0.181926
  39. kc_width_percentage - 0.0113714
  40. ¸

📌 Time Data

Start at Closed at Duration
12 Apr 2025
19:41:02
12 Apr 2025
20:40:00
58 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.9831 2.9701 3.0026 1.5 1.5696
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 2.9831
  • Stop Loss: 2.9701
  • Take Profit: 3.0026

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9701 - 2.9831 = -0.013

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.9831 - 3.0026 = -0.0195

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0195 / -0.013 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1834.9016 100 615.0989 18.35
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 -0.013

Taille de position = 8 / -0.013 = -615.38

Taille de position USD = -615.38 x 2.9831 = -1835.74

Donc, tu peux acheter -615.38 avec un stoploss a 2.9701

Avec un position size USD de -1835.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -615.38 x -0.013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -615.38 x -0.0195 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -615.38
  • Taille de position USD -1835.74
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 11.99 $
SL % Target SL $ Target
0.44 % 8 $
PNL PNL %
-8 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.45256453234999 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.003
            [entry_price] => 2.983
            [stop_loss] => 2.9687
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-12 21:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.003
            [entry_price] => 2.983
            [stop_loss] => 2.9674
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-12 21:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.003
            [entry_price] => 2.983
            [stop_loss] => 2.9661
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-12 21:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.003
            [entry_price] => 2.983
            [stop_loss] => 2.9635
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-12 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0184
            [max_drawdown] => 0.0428
            [rr_ratio] => 0.43
            [high] => 3.00150000
            [low] => 2.94030000
            [mfe_pct] => 0.62
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T19:41:02-04:00
            [end_at] => 2025-04-12T21:41:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0184
            [max_drawdown] => 0.1054
            [rr_ratio] => 0.17
            [high] => 3.00150000
            [low] => 2.87770000
            [mfe_pct] => 0.62
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T19:41:02-04:00
            [end_at] => 2025-04-13T01:41:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.08180000
            [high_after] => 3.00150000
            [low_before] => 2.97700000
            [low_after] => 2.87770000
            [is_new_high] => 
            [is_new_low] => 
        )

)