Trade
buy - PYTH
Results
| Prediction 1 | Accuracy |
|---|---|
|
Weak Trade
|
n/a |
| Prediction 2 | Accuracy |
|---|---|
| 1 | n/a |
Signal
CatchTheWave Signal - buy
Indicators:
- long_trend: 1
- short_kc: True
- short_kc_percentage: 0.02
- atr: 0.002115439538
- score: 2.02
- 1H: ema9 - 0.192444
- 1H: ema21 - 0.178439
- 1H: ema50 - 0.161859
- 1H: price_ema9_diff - 0.0238507
- 1H: ema9_ema21_diff - 0.078484
- 1H: ema21_ema50_diff - 0.102432
- 1H: all_emas_in_trend - True
- 1H: all_emas_and_price_in_trend - True
- 1H: rsi - 0.742864
- 1H: kc_percentage - 1.08138
- 1H: kc_width_percentage - 0.151558 ¸
- 15m: ema9 - 0.200445
- 15m: ema21 - 0.197435
- 15m: ema50 - 0.186081
- 15m: price_ema9_diff - -0.018973
- 15m: ema9_ema21_diff - 0.0152462
- 15m: ema21_ema50_diff - 0.0610182
- 15m: all_emas_in_trend - True
- 15m: all_emas_and_price_in_trend - False
- 15m: rsi - 0.527478
- 15m: kc_percentage - 0.441658
- 15m: kc_width_percentage - 0.0972986 ¸
- 5m: ema9 - 0.199549
- 5m: ema21 - 0.200759
- 5m: ema50 - 0.199251
- 5m: price_ema9_diff - -0.0141929
- 5m: ema9_ema21_diff - -0.00602611
- 5m: ema21_ema50_diff - 0.00756461
- 5m: all_emas_in_trend - False
- 5m: all_emas_and_price_in_trend - False
- 5m: rsi - 0.36866
- 5m: kc_percentage - -0.0155939
- 5m: kc_width_percentage - 0.0397067 ¸
📌 Données temporelles
| Start at | Closed at | Duration |
|---|---|---|
| 2025-05-09 15:12:20 | 2025-05-09 16:00:00 | 47 minutes |
📌 Informations d'entrée et sortie
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1967 | 0.1935 | 0.2015 | 1.5 | 0.1314 |
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 0.1967
- Stop Loss: 0.1935
- Take Profit: 0.2015
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.1935 - 0.1967 = -0.0032
-
Récompense (distance jusqu'au take profit):
E - TP = 0.1967 - 0.2015 = -0.0048
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0048 / -0.0032 = 1.5
📌 Informations de position et de gestion du risque
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 495.9 | 100 | 2521 | 4.96 |
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 -0.0032
Taille de position = 8 / -0.0032 = -2500
Taille de position USD = -2500 x 0.1967 = -491.75
Donc, tu peux acheter -2500 avec un stoploss a 0.1935
Avec un position size USD de -491.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0048 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position -2500
- Taille de position USD -491.75
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 2.4 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.6 % | 8.1 $ |
| RR | PNL | PNL % | Max Drawdown |
|---|---|---|---|
| 1.5 | 12 $ | 2.44 | -0.55922724961872 |
📌 ML Extra Data
Extra RRR data
Array
(
[2] => Array
(
[take_profit] => 0.2031
[stop_loss] => 0.1935
[rr_ratio] => 2
[closed_at] => 2025-05-09 16:55:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.2047
[stop_loss] => 0.1935
[rr_ratio] => 2.5
[closed_at] => 2025-05-09 17:05:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.2063
[stop_loss] => 0.1935
[rr_ratio] => 3
[closed_at] => 2025-05-09 19:10:00
[result] => loss
)
[3.5] => Array
(
[take_profit] => 0.2079
[stop_loss] => 0.1935
[rr_ratio] => 3.5
[closed_at] => 2025-05-09 19:10:00
[result] => loss
)
[4] => Array
(
[take_profit] => 0.2095
[stop_loss] => 0.1935
[rr_ratio] => 4
[closed_at] => 2025-05-09 19:10:00
[result] => loss
)
[4.5] => Array
(
[take_profit] => 0.2111
[stop_loss] => 0.1935
[rr_ratio] => 4.5
[closed_at] => 2025-05-09 19:10:00
[result] => loss
)
[5] => Array
(
[take_profit] => 0.2127
[stop_loss] => 0.1935
[rr_ratio] => 5
[closed_at] => 2025-05-09 19:10:00
[result] => loss
)
)
Extra SL data
Array
(
)