Trade

sell - AI16Z

Status
loss
2025-05-26 22:38:39
26 minutes
PNL
-0.82
Entry: 0.291
Last: 0.29340000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -3.3397
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.55
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.34

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001567334937
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.292117
  4. ema21 - 0.295482
  5. ema50 - 0.296917
  6. ema100 - 0.303774
  7. price_ema9_diff - -0.00382479
  8. ema9_ema21_diff - -0.0113876
  9. ema21_ema50_diff - -0.00483313
  10. price_ema100_diff - -0.0420529
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.446782
  14. kc_percentage - 0.347323
  15. kc_width_percentage - 0.0986098
  16. ¸
  17. 15m
  18. ema9 - 0.288529
  19. ema21 - 0.289864
  20. ema50 - 0.293983
  21. ema100 - 0.29849
  22. price_ema9_diff - 0.0085611
  23. ema9_ema21_diff - -0.0046058
  24. ema21_ema50_diff - -0.0140107
  25. price_ema100_diff - -0.0250958
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.507721
  29. kc_percentage - 0.606033
  30. kc_width_percentage - 0.0410357
  31. ¸
  32. 5m
  33. ema9 - 0.2885
  34. ema21 - 0.287701
  35. ema50 - 0.288841
  36. ema100 - 0.290309
  37. price_ema9_diff - 0.0086621
  38. ema9_ema21_diff - 0.00277781
  39. ema21_ema50_diff - -0.0039474
  40. price_ema100_diff - 0.00237697
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.623214
  44. kc_percentage - 1.02724
  45. kc_width_percentage - 0.0215417
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 108972
  50. 5m_price_ema100_diff: -0.00395453
  51. 5m_price: 108541
  52. 5m_correlation_with_coin: 0.465218
  53. btc_indicators
  54. 15m_ema100: 109291
  55. 15m_price_ema100_diff: -0.0068591
  56. 15m_price: 108541
  57. btc_indicators
  58. 1H_ema100: 109194
  59. 1H_price_ema100_diff: -0.00597989
  60. 1H_price: 108541
  61. ¸

Short Trade on AI16Z

The 26 May 2025 at 22:38:39

With 3402.8038 AI16Z at 0.291$ per unit.

Position size of 990.2159 $

Take profit at 0.2875 (1.2 %) and Stop Loss at 0.2934 (0.82 %)

That's a 1.46 RR Trade

📌 Similar Trades

Similar Trade Score: -39.44 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-05-26 22:34:17 0.9737 -35 2
HIPPO 2025-05-15 04:52:37 0.958 -100 2
CHILLGUY 2025-05-26 22:32:16 0.9559 -100 1
WIF 2025-05-31 08:44:54 0.9525 -10 3
DOT 2025-04-27 10:40:24 0.9502 30 1
COOKIE 2025-05-26 22:26:28 0.9501 -100 1
MOCA 2025-05-06 18:47:29 0.9496 -100 2
PAXG 2025-05-01 08:55:14 0.9495 30 1
NEWT 2025-07-02 09:25:20 0.9479 30 1

📌 Time Data

Start at Closed at Duration
26 May 2025
22:38:39
26 May 2025
23:05:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.291 0.2934 0.2875 1.46 0.1514
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 0.291
  • Stop Loss: 0.2934
  • Take Profit: 0.2875

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2934 - 0.291 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.291 - 0.2875 = 0.0035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0035 / 0.0024 = 1.4583

📌 Position Size

Amount Margin Quantity Leverage
990.2159 100 3402.8038 9.90
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 0.291 = 970

Donc, tu peux acheter 3333.33 avec un stoploss a 0.2934

Avec un position size USD de 970$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0035 = 11.67

Si Take Profit atteint, tu gagneras 11.67$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 970
  • Perte potentielle 8
  • Gain potentiel 11.67
  • Risk-Reward Ratio 1.4583

📌 Peformances

TP % Target TP $ Target
1.2 % 11.91 $
SL % Target SL $ Target
0.82 % 8.17 $
PNL PNL %
-8.17 $ -0.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1340206185567 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2875
            [entry_price] => 0.291
            [stop_loss] => 0.29364
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-26 23:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2875
            [entry_price] => 0.291
            [stop_loss] => 0.29388
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-26 23:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2875
            [entry_price] => 0.291
            [stop_loss] => 0.29412
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-26 23:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2875
            [entry_price] => 0.291
            [stop_loss] => 0.2946
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-26 23:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.0078
            [rr_ratio] => 0.31
            [high] => 0.29880000
            [low] => 0.28860000
            [mfe_pct] => 0.82
            [mae_pct] => 2.68
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2025-05-26T22:38:39-04:00
            [end_at] => 2025-05-27T00:38:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.0161
            [rr_ratio] => 0.15
            [high] => 0.30710000
            [low] => 0.28860000
            [mfe_pct] => 0.82
            [mae_pct] => 5.53
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 72
            [start_at] => 2025-05-26T22:38:39-04:00
            [end_at] => 2025-05-27T04:38:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29580000
            [high_after] => 0.30710000
            [low_before] => 0.28040000
            [low_after] => 0.28860000
            [is_new_high] => 
            [is_new_low] => 
        )

)