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Trade

buy - ORDI

Status
win
2025-06-03 00:33:20
26 minutes
PNL
0.84
Entry: 8.846
Last: 8.92000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3938
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.41
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 6

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.03286932785
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 8.90634
  4. ema21 - 8.79802
  5. ema50 - 8.70582
  6. ema100 - 8.8283
  7. price_ema9_diff - -0.00677525
  8. ema9_ema21_diff - 0.0123113
  9. ema21_ema50_diff - 0.0105912
  10. price_ema100_diff - 0.00200436
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.535426
  14. kc_percentage - 0.562689
  15. kc_width_percentage - 0.0731289
    16. ¸
  16. 15m
  17. ema9 - 8.92535
  18. ema21 - 8.95381
  19. ema50 - 8.88013
  20. ema100 - 8.76998
  21. price_ema9_diff - -0.00889129
  22. ema9_ema21_diff - -0.00317773
  23. ema21_ema50_diff - 0.00829693
  24. price_ema100_diff - 0.00866722
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.401887
  28. kc_percentage - 0.110462
  29. kc_width_percentage - 0.0314532
    30. ¸
  30. 5m
  31. ema9 - 8.88448
  32. ema21 - 8.92012
  33. ema50 - 8.96167
  34. ema100 - 8.95019
  35. price_ema9_diff - -0.00433168
  36. ema9_ema21_diff - -0.00399534
  37. ema21_ema50_diff - -0.00463613
  38. price_ema100_diff - -0.0116417
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.332978
  42. kc_percentage - -0.061044
  43. kc_width_percentage - 0.0143936
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105543
  47. 5m_price_ema100_diff: -0.00362903
  48. 5m_price: 105160
  49. 5m_correlation_with_coin: 0.64279
  50. btc_indicators
  51. 15m_ema100: 105056
  52. 15m_price_ema100_diff: 0.000995615
  53. 15m_price: 105160
  54. btc_indicators
  55. 1H_ema100: 104861
  56. 1H_price_ema100_diff: 0.00285478
  57. 1H_price: 105160
    58. ¸

Long Trade on ORDI

The 03 Jun 2025 at 00:33:20

With 162.2587 ORDI at 8.846$ per unit.

Position size of 1435.3402 $

Take profit at 8.92 (0.84 %) and Stop Loss at 8.7967 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 3.54 %

Symbol Start at Seach Score Trade Score Trades Count
OP 2025-06-03 00:28:29 0.9625 35 2
DOT 2025-06-03 00:37:52 0.959 33.33 3
RENDER 2025-06-03 00:37:05 0.9603 40 2
ARB 2025-06-03 00:35:32 0.9563 50 2
ONDO 2025-06-03 00:33:51 0.9562 30 1
RESOLV 2025-08-17 14:46:30 0.9531 -100 1
SHIB 2025-06-03 00:31:57 0.9524 40 1
DOGS 2025-08-23 08:56:33 0.9515 -100 1

📌 Time Data

Start at Closed at Duration
03 Jun 2025
00:33:20		 03 Jun 2025
01:00:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.846 8.7967 8.92 1.5 10.044
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 8.846
  • Stop Loss: 8.7967
  • Take Profit: 8.92

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.7967 - 8.846 = -0.049300000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.846 - 8.92 = -0.074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.074 / -0.049300000000001 = 1.501

📌 Position Size

Amount Margin Quantity Leverage
1435.3402 100 162.2587 14.35
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 -0.049300000000001

Taille de position = 8 / -0.049300000000001 = -162.27

Taille de position USD = -162.27 x 8.846 = -1435.44

Donc, tu peux acheter -162.27 avec un stoploss a 8.7967

Avec un position size USD de -1435.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -162.27 x -0.049300000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -162.27 x -0.074 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -162.27
  • Taille de position USD -1435.44
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.501

📌 Peformances

TP % Target TP $ Target
0.84 % 12.01 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
12.01 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 8.944
            [stop_loss] => 8.797
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 01:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 8.9685
            [stop_loss] => 8.797
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 01:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 8.993
            [stop_loss] => 8.797
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 01:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 9.0175
            [stop_loss] => 8.797
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 01:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 9.042
            [stop_loss] => 8.797
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 01:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 9.0665
            [stop_loss] => 8.797
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 03:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 9.091
            [stop_loss] => 8.797
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 05:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 9.1155
            [stop_loss] => 8.797
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-03 05:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 9.14
            [stop_loss] => 8.797
            [rr_ratio] => 6
            [closed_at] => 2025-06-03 05:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 9.1645
            [stop_loss] => 8.797
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-03 05:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.207
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 9.05300000
            [low] => 8.86200000
            [mfe_pct] => 2.34
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-06-03T00:33:20-04:00
            [end_at] => 2025-06-03T02:33:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.336
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 9.18200000
            [low] => 8.86200000
            [mfe_pct] => 3.8
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-06-03T00:33:20-04:00
            [end_at] => 2025-06-03T06:33:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.18700000
            [high_after] => 9.18200000
            [low_before] => 8.83600000
            [low_after] => 8.86200000
            [is_new_high] => 
            [is_new_low] => 
        )

)