Trade

buy - ONDO

Status
win
2025-06-07 20:49:48
55 minutes
PNL
0.36
Entry: 0.8302
Last: 0.83320000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3
Prediction 1 Accuracy
Weak Trade
0.78
Prediction 2 Accuracy
0 0.66
ML Trade Score: 60
ML Pullback Score: 4.17

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00135489258
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 0.832622
  4. ema21 - 0.829049
  5. ema50 - 0.822927
  6. ema100 - 0.82429
  7. price_ema9_diff - -0.00291004
  8. ema9_ema21_diff - 0.00431078
  9. ema21_ema50_diff - 0.00743847
  10. price_ema100_diff - 0.00716936
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.539444
  14. kc_percentage - 0.533498
  15. kc_width_percentage - 0.0285757
  16. volume_ema_diff - -0.647393
  17. ¸
  18. 15m
  19. ema9 - 0.833364
  20. ema21 - 0.833611
  21. ema50 - 0.832291
  22. ema100 - 0.827809
  23. price_ema9_diff - -0.00379666
  24. ema9_ema21_diff - -0.000297285
  25. ema21_ema50_diff - 0.00158645
  26. price_ema100_diff - 0.00288762
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.422225
  30. kc_percentage - 0.170266
  31. kc_width_percentage - 0.012517
  32. volume_ema_diff - -0.523831
  33. ¸
  34. 5m
  35. ema9 - 0.832196
  36. ema21 - 0.833193
  37. ema50 - 0.833501
  38. ema100 - 0.832388
  39. price_ema9_diff - -0.00239881
  40. ema9_ema21_diff - -0.00119658
  41. ema21_ema50_diff - -0.000369275
  42. price_ema100_diff - -0.00262967
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.362889
  46. kc_percentage - -0.0202995
  47. kc_width_percentage - 0.00680178
  48. volume_ema_diff - -0.390663
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 105591
  53. 5m_price_ema100_diff: -0.0017013
  54. 5m_price: 105412
  55. 5m_correlation_with_coin: 0.633685
  56. btc_indicators
  57. 15m_ema100: 105224
  58. 15m_price_ema100_diff: 0.00178366
  59. 15m_price: 105412
  60. btc_indicators
  61. 1H_ema100: 104705
  62. 1H_price_ema100_diff: 0.00675212
  63. 1H_price: 105412
  64. ¸

Long Trade on ONDO

The 07 Jun 2025 at 20:49:48

With 3936.3514 ONDO at 0.8302$ per unit.

Position size of 3267.959 $

Take profit at 0.8332 (0.36 %) and Stop Loss at 0.8282 (0.24 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.33 %

Symbol Start at Seach Score Trade Score Trades Count
MYRO 2025-05-18 23:32:16 0.8134 -100 1
VINE 2025-05-10 15:11:55 0.7746 60 1
PNUT 2025-04-28 17:45:23 0.7743 -100 1
AIOZ 2025-04-28 04:51:12 0.7627 -13.33 3
PAXG 2025-07-03 04:11:15 0.7548 40 1
SAHARA 2025-07-21 03:54:21 0.7516 30 1
LAYER 2025-05-23 16:12:08 0.7468 -100 1
RAY 2025-04-28 04:49:19 0.7433 30 1
CARV 2025-04-02 09:31:55 0.7408 50 1
BNB 2025-07-12 01:14:50 0.7389 30 1

📌 Time Data

Start at Closed at Duration
07 Jun 2025
20:49:48
07 Jun 2025
21:45:00
55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8302 0.8282 0.8332 1.5 1.0398
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 0.8302
  • Stop Loss: 0.8282
  • Take Profit: 0.8332

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8282 - 0.8302 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8302 - 0.8332 = -0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.003 / -0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3267.959 100 3936.3514 32.68
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 -0.002

Taille de position = 8 / -0.002 = -4000

Taille de position USD = -4000 x 0.8302 = -3320.8

Donc, tu peux acheter -4000 avec un stoploss a 0.8282

Avec un position size USD de -3320.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4000 x -0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4000 x -0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4000
  • Taille de position USD -3320.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.36 % 11.81 $
SL % Target SL $ Target
0.24 % 7.87 $
PNL PNL %
11.81 $ 0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2289 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8342
            [stop_loss] => 0.8282
            [rr_ratio] => 2
            [closed_at] => 2025-06-07 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8352
            [stop_loss] => 0.8282
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-07 22:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8362
            [stop_loss] => 0.8282
            [rr_ratio] => 3
            [closed_at] => 2025-06-07 22:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8372
            [stop_loss] => 0.8282
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.8382
            [stop_loss] => 0.8282
            [rr_ratio] => 4
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.8392
            [stop_loss] => 0.8282
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8402
            [stop_loss] => 0.8282
            [rr_ratio] => 5
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.8412
            [stop_loss] => 0.8282
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.8422
            [stop_loss] => 0.8282
            [rr_ratio] => 6
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.8432
            [stop_loss] => 0.8282
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.8442
            [stop_loss] => 0.8282
            [rr_ratio] => 7
            [closed_at] => 2025-06-08 01:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0064
            [max_drawdown] => 0.0019
            [rr_ratio] => 3.37
            [high] => 0.83660000
            [low] => 0.82830000
            [mfe_pct] => 0.77
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 3.37
            [candles_analyzed] => 24
            [start_at] => 2025-06-07T20:49:48-04:00
            [end_at] => 2025-06-07T22:49:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0064
            [max_drawdown] => 0.0026
            [rr_ratio] => 2.46
            [high] => 0.83660000
            [low] => 0.82760000
            [mfe_pct] => 0.77
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 72
            [start_at] => 2025-06-07T20:49:48-04:00
            [end_at] => 2025-06-08T02:49:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.83970000
            [high_after] => 0.83660000
            [low_before] => 0.82980000
            [low_after] => 0.82760000
            [is_new_high] => 
            [is_new_low] => 
        )

)