Trade
sell - PYTH
Results
| Prediction 1 | Accuracy |
|---|---|
|
Weak Trade
|
0.57 |
| Prediction 2 | Accuracy |
|---|---|
| 0 | 0.39 |
Signal
CatchTheWave Signal - sell
Indicators:
- long_trend: -1
- short_kc: True
- short_kc_percentage: 0.23
- atr: 0.000664279616
- score: 1.23
- 1H: ema9 - 0.128269
- 1H: ema21 - 0.130866
- 1H: ema50 - 0.136915
- 1H: ema100 - 0.14385
- 1H: price_ema9_diff - 0.00959555
- 1H: ema9_ema21_diff - -0.0198459
- 1H: ema21_ema50_diff - -0.04418
- 1H: price_ema100_diff - -0.0997594
- 1H: all_emas_in_trend - True
- 1H: all_emas_and_price_in_trend - False
- 1H: rsi - 0.435756
- 1H: kc_percentage - 0.399865
- 1H: kc_width_percentage - 0.0877572 ¸
- 15m: ema9 - 0.127679
- 15m: ema21 - 0.127444
- 15m: ema50 - 0.128768
- 15m: ema100 - 0.130898
- 15m: price_ema9_diff - 0.014258
- 15m: ema9_ema21_diff - 0.00184563
- 15m: ema21_ema50_diff - -0.0102865
- 15m: price_ema100_diff - -0.0106842
- 15m: all_emas_in_trend - False
- 15m: all_emas_and_price_in_trend - False
- 15m: rsi - 0.598511
- 15m: kc_percentage - 0.884141
- 15m: kc_width_percentage - 0.0416523 ¸
- 5m: ema9 - 0.128195
- 5m: ema21 - 0.127611
- 5m: ema50 - 0.127255
- 5m: ema100 - 0.127576
- 5m: price_ema9_diff - 0.0101724
- 5m: ema9_ema21_diff - 0.00458076
- 5m: ema21_ema50_diff - 0.00279517
- 5m: price_ema100_diff - 0.0150785
- 5m: all_emas_in_trend - True
- 5m: all_emas_and_price_in_trend - True
- 5m: rsi - 0.693389
- 5m: kc_percentage - 1.22513
- 5m: kc_width_percentage - 0.0198066 ¸
📌 Données temporelles
| Start at | Closed at | Duration |
|---|---|---|
| 2025-05-20 19:19:09 | 2025-05-20 20:30:00 | 1 hour |
📌 Informations d'entrée et sortie
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1295 | 0.1305 | 0.128 | 1.5 | 0.1433 |
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 0.1295
- Stop Loss: 0.1305
- Take Profit: 0.128
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.1305 - 0.1295 = 0.001
-
Récompense (distance jusqu'au take profit):
E - TP = 0.1295 - 0.128 = 0.0015
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0015 / 0.001 = 1.5
📌 Informations de position et de gestion du risque
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1040 | 100 | 8029 | 10.40 |
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 0.001
Taille de position = 8 / 0.001 = 8000
Taille de position USD = 8000 x 0.1295 = 1036
Donc, tu peux acheter 8000 avec un stoploss a 0.1305
Avec un position size USD de 1036$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 8000 x 0.001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 8000 x 0.0015 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position 8000
- Taille de position USD 1036
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 1.2 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.77 % | 8 $ |
| RR | PNL | PNL % | Max Drawdown |
|---|---|---|---|
| 1.5 | 12 $ | 1.16 | -0.38610038610039 |
📌 ML Extra Data
Extra RRR data
Array
(
[2] => Array
(
[take_profit] => 0.1275
[stop_loss] => 0.1305
[rr_ratio] => 2
[closed_at] => 2025-05-20 20:35:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.127
[stop_loss] => 0.1305
[rr_ratio] => 2.5
[closed_at] => 2025-05-20 20:35:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1265
[stop_loss] => 0.1305
[rr_ratio] => 3
[closed_at] => 2025-05-20 21:00:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.126
[stop_loss] => 0.1305
[rr_ratio] => 3.5
[closed_at] => 2025-05-20 21:00:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.1255
[stop_loss] => 0.1305
[rr_ratio] => 4
[closed_at] => 2025-05-20 21:50:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.125
[stop_loss] => 0.1305
[rr_ratio] => 4.5
[closed_at] => 2025-05-20 22:00:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.1245
[stop_loss] => 0.1305
[rr_ratio] => 5
[closed_at] => 2025-05-20 22:00:00
[result] => win
)
)
Extra SL data
Array
(
)