Long Trade on ORDI 24 Apr 2025 at 13:21:35

Take profit at 7.8007 (1.37 %) and Stop Loss at 7.6245 (0.92 %)

Long Trade on ORDI

The 24 Apr 2025 at 13:21:35

With 113.5296 ORDI at 7.695$ per unit.

Position size of 873.6099 $

Take profit at 7.8007 (1.37 %) and Stop Loss at 7.6245 (0.92 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 5.51
Prediction Score: -0.9111
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: 0.05
  4. atr: 0.04697748849
Details
  1. score: 2.05
  2. 1H
  3. ema9 : 7.70097
  4. ema21 : 7.6423
  5. ema50 : 7.47871
  6. price_ema9_diff : -0.000782168
  7. ema9_ema21_diff : 0.00767784
  8. ema21_ema50_diff : 0.0218734
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.547595
  12. kc_percentage : 0.579593
  13. kc_width_percentage : 0.0789767
  14. ¸
  15. 15m
  16. ema9 : 7.78153
  17. ema21 : 7.74781
  18. ema50 : 7.67949
  19. price_ema9_diff : -0.0111691
  20. ema9_ema21_diff : 0.00435243
  21. ema21_ema50_diff : 0.00889624
  22. all_emas_in_trend : True
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.470392
  25. kc_percentage : 0.328197
  26. kc_width_percentage : 0.0427264
  27. ¸
  28. 5m
  29. ema9 : 7.76772
  30. ema21 : 7.80072
  31. ema50 : 7.77349
  32. price_ema9_diff : -0.00932232
  33. ema9_ema21_diff : -0.0042307
  34. ema21_ema50_diff : 0.00350225
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. rsi : 0.352963
  38. kc_percentage : -0.0536325
  39. kc_width_percentage : 0.0246862
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Apr 2025
13:21:35
24 Apr 2025
16:05:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.695 7.6245 7.8007 1.5 2.27
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 7.695
  • Stop Loss: 7.6245
  • Take Profit: 7.8007

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.6245 - 7.695 = -0.0705

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.695 - 7.8007 = -0.1057

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1057 / -0.0705 = 1.4993

📌 Position Size

Amount Margin Quantity Leverage
873.6099 100 113.5296 8.74
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 -0.0705

Taille de position = 8 / -0.0705 = -113.48

Taille de position USD = -113.48 x 7.695 = -873.23

Donc, tu peux acheter -113.48 avec un stoploss a 7.6245

Avec un position size USD de -873.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -113.48 x -0.0705 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -113.48 x -0.1057 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -113.48
  • Taille de position USD -873.23
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4993

📌 Peformances

TP % Target TP $ Target
1.37 % 12 $
SL % Target SL $ Target
0.92 % 8 $
PNL PNL %
12.03 $ 1.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.71474983755686 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 7.835
            [stop_loss] => 7.625
            [rr_ratio] => 2
            [closed_at] => 2025-04-24 16:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 7.87
            [stop_loss] => 7.625
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-24 18:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 7.905
            [stop_loss] => 7.625
            [rr_ratio] => 3
            [closed_at] => 2025-04-24 18:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 7.94
            [stop_loss] => 7.625
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-24 18:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.053999999999999
            [max_drawdown] => 0.055000000000001
            [rr_ratio] => 0.98
            [high] => 7.74900000
            [low] => 7.64000000
            [mfe_pct] => 0.7
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T13:21:35-04:00
            [end_at] => 2025-04-24T15:21:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.25
            [max_drawdown] => 0.055000000000001
            [rr_ratio] => 4.55
            [high] => 7.94500000
            [low] => 7.64000000
            [mfe_pct] => 3.25
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 4.55
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T13:21:35-04:00
            [end_at] => 2025-04-24T19:21:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.93400000
            [high_after] => 7.94500000
            [low_before] => 7.63200000
            [low_after] => 7.64000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)