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Trade

sell - AI16Z

Status
loss
2025-05-26 23:08:35
1 minute
PNL
-0.85
Entry: 0.2939
Last: 0.29640000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -1.9899
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.69
ML Trade Score: -100
ML Pullback Score: 0.75

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001673669927
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 0.292357
  4. ema21 - 0.295552
  5. ema50 - 0.296953
  6. ema100 - 0.304178
  7. price_ema9_diff - 0.00527658
  8. ema9_ema21_diff - -0.0108107
  9. ema21_ema50_diff - -0.00471865
  10. price_ema100_diff - -0.0337913
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.478154
  14. kc_percentage - 0.446523
  15. kc_width_percentage - 0.0988157
    16. ¸
  16. 15m
  17. ema9 - 0.289989
  18. ema21 - 0.290323
  19. ema50 - 0.293934
  20. ema100 - 0.298751
  21. price_ema9_diff - 0.0134849
  22. ema9_ema21_diff - -0.00115062
  23. ema21_ema50_diff - -0.012285
  24. price_ema100_diff - -0.0162407
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.571041
  28. kc_percentage - 0.78009
  29. kc_width_percentage - 0.0444931
    30. ¸
  30. 5m
  31. ema9 - 0.290918
  32. ema21 - 0.2894
  33. ema50 - 0.289393
  34. ema100 - 0.290268
  35. price_ema9_diff - 0.0102483
  36. ema9_ema21_diff - 0.00524489
  37. ema21_ema50_diff - 2.55729E-5
  38. price_ema100_diff - 0.0125119
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.666378
  42. kc_percentage - 1.14685
  43. kc_width_percentage - 0.0233458
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 108906
  47. 5m_price_ema100_diff: -0.00223034
  48. 5m_price: 108663
  49. 5m_correlation_with_coin: 0.512409
  50. btc_indicators
  51. 15m_ema100: 109281
  52. 15m_price_ema100_diff: -0.00565167
  53. 15m_price: 108663
  54. btc_indicators
  55. 1H_ema100: 109165
  56. 1H_price_ema100_diff: -0.00459591
  57. 1H_price: 108663
    58. ¸

Short Trade on AI16Z

The 26 May 2025 at 23:08:35

With 3186.61 AI16Z at 0.2939$ per unit.

Position size of 936.5447 $

Take profit at 0.2901 (1.29 %) and Stop Loss at 0.2964 (0.85 %)

That's a 1.52 RR Trade

📌 Similar Trades

Similar Trade Score: -9.5 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-04-27 10:40:24 0.9656 30 1
1000BONK 2025-05-26 23:17:13 0.954 40 2
IO 2025-05-26 23:17:45 0.9528 35 2
DOGE 2025-04-09 01:30:22 0.9509 -100 1
WIF 2025-05-31 08:44:54 0.9489 -10 3
LPT 2025-06-12 07:04:10 0.9494 50 1
POPCAT 2025-05-24 05:45:24 0.9483 30 1
KAS 2025-04-26 18:12:01 0.9475 -100 1
MOCA 2025-05-06 19:01:40 0.9475 -100 1
MOVE 2025-06-12 09:12:16 0.9461 30 1

📌 Time Data

Start at Closed at Duration
26 May 2025
23:08:35		 26 May 2025
23:10:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2939 0.2964 0.2901 1.52 0.1714
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 0.2939
  • Stop Loss: 0.2964
  • Take Profit: 0.2901

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2964 - 0.2939 = 0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2939 - 0.2901 = 0.0038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0038 / 0.0025 = 1.52

📌 Position Size

Amount Margin Quantity Leverage
936.5447 100 3186.61 9.37
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 0.0025

Taille de position = 8 / 0.0025 = 3200

Taille de position USD = 3200 x 0.2939 = 940.48

Donc, tu peux acheter 3200 avec un stoploss a 0.2964

Avec un position size USD de 940.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3200 x 0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3200 x 0.0038 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

  • Taille de position 3200
  • Taille de position USD 940.48
  • Perte potentielle 8
  • Gain potentiel 12.16
  • Risk-Reward Ratio 1.52

📌 Peformances

TP % Target TP $ Target
1.29 % 12.11 $
SL % Target SL $ Target
0.85 % 7.97 $
PNL PNL %
-7.97 $ -0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.98673018033345 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2901
            [entry_price] => 0.2939
            [stop_loss] => 0.29665
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-26 23:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2901
            [entry_price] => 0.2939
            [stop_loss] => 0.2969
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-26 23:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2901
            [entry_price] => 0.2939
            [stop_loss] => 0.29715
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-26 23:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2901
            [entry_price] => 0.2939
            [stop_loss] => 0.29765
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-26 23:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0032
            [max_drawdown] => 0.0049
            [rr_ratio] => 0.65
            [high] => 0.29880000
            [low] => 0.29070000
            [mfe_pct] => 1.09
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 0.65
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T23:08:35-04:00
            [end_at] => 2025-05-27T01:08:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.0132
            [rr_ratio] => 0.38
            [high] => 0.30710000
            [low] => 0.28890000
            [mfe_pct] => 1.7
            [mae_pct] => 4.49
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T23:08:35-04:00
            [end_at] => 2025-05-27T05:08:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29580000
            [high_after] => 0.30710000
            [low_before] => 0.28040000
            [low_after] => 0.28890000
            [is_new_high] => 
            [is_new_low] => 
        )

)