Trade
buy - PNUT
Results
| Prediction 1 | Accuracy |
|---|---|
|
Weak Trade
|
n/a |
| Prediction 2 | Accuracy |
|---|---|
| n/a |
Signal
CatchTheWave Signal - buy
Indicators:
- long_trend: 1
- short_kc: True
- short_kc_percentage: 0.06
- atr: 0.001310845284
- score: 2.06
- 1H: ema9 - 0.153192
- 1H: ema21 - 0.147292
- 1H: ema50 - 0.141374
- 1H: price_ema9_diff - 0.0018809
- 1H: ema9_ema21_diff - 0.0400613
- 1H: ema21_ema50_diff - 0.0418593
- 1H: all_emas_in_trend - True
- 1H: all_emas_and_price_in_trend - True
- 1H: rsi - 0.651613
- 1H: kc_percentage - 0.85322
- 1H: kc_width_percentage - 0.107035 ¸
- 15m: ema9 - 0.15628
- 15m: ema21 - 0.155496
- 15m: ema50 - 0.150856
- 15m: price_ema9_diff - -0.0180714
- 15m: ema9_ema21_diff - 0.00503709
- 15m: ema21_ema50_diff - 0.030761
- 15m: all_emas_in_trend - True
- 15m: all_emas_and_price_in_trend - False
- 15m: rsi - 0.465379
- 15m: kc_percentage - 0.281995
- 15m: kc_width_percentage - 0.064585 ¸
- 5m: ema9 - 0.155733
- 5m: ema21 - 0.156384
- 5m: ema50 - 0.156164
- 5m: price_ema9_diff - -0.0144756
- 5m: ema9_ema21_diff - -0.00416264
- 5m: ema21_ema50_diff - 0.00140725
- 5m: all_emas_in_trend - False
- 5m: all_emas_and_price_in_trend - False
- 5m: rsi - 0.334687
- 5m: kc_percentage - -0.0584777
- 5m: kc_width_percentage - 0.0336589 ¸
📌 Données temporelles
| Start at | Closed at | Duration |
|---|---|---|
| 2025-04-23 02:43:00 | 2025-04-23 04:40:00 | 1 hour |
📌 Informations d'entrée et sortie
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1535 | 0.1515 | 0.1564 | 1.5 | 0.3697 |
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 0.1535
- Stop Loss: 0.1515
- Take Profit: 0.1564
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.1515 - 0.1535 = -0.002
-
Récompense (distance jusqu'au take profit):
E - TP = 0.1535 - 0.1564 = -0.0029
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0029 / -0.002 = 1.45
📌 Informations de position et de gestion du risque
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 624.4 | 100 | 4069 | 6.24 |
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 0.1535 = -614
Donc, tu peux acheter -4000 avec un stoploss a 0.1515
Avec un position size USD de -614$
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 -0.0029 = 11.6
Si Take Profit atteint, tu gagneras 11.6$
Résumé
- Taille de position -4000
- Taille de position USD -614
- Perte potentielle 8
- Gain potentiel 11.6
- Risk-Reward Ratio 1.45
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 1.9 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.3 % | 8.1 $ |
| RR | PNL | PNL % | Max Drawdown |
|---|---|---|---|
| 1.5 | 12 $ | 1.89 | -0.097719869706848 |
📌 ML Extra Data
Extra RRR data
Array
(
[2] => Array
(
[take_profit] => 0.1575
[stop_loss] => 0.1515
[rr_ratio] => 2
[closed_at] => 2025-04-23 05:10:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.1585
[stop_loss] => 0.1515
[rr_ratio] => 2.5
[closed_at] => 2025-04-23 06:20:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1595
[stop_loss] => 0.1515
[rr_ratio] => 3
[closed_at] => 2025-04-23 06:30:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.1605
[stop_loss] => 0.1515
[rr_ratio] => 3.5
[closed_at] => 2025-04-23 06:50:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.1615
[stop_loss] => 0.1515
[rr_ratio] => 4
[closed_at] => 2025-04-23 06:55:00
[result] => win
)
)
Extra SL data
Array
(
)