Trade
buy - ALPACA
Results
| Prediction 1 | Accuracy |
|---|---|
|
Strong Trade
|
n/a |
| Prediction 2 | Accuracy |
|---|---|
| n/a |
Signal
CatchTheWave Signal - buy
Indicators:
- long_trend: 1
- short_kc: True
- short_kc_percentage: 0.01
- atr: 0.008984241899
- score: 2.01
- 1H: ema9 - 0.127735
- 1H: ema21 - 0.103245
- 1H: ema50 - 0.0776659
- 1H: price_ema9_diff - 0.0231917
- 1H: ema9_ema21_diff - 0.237197
- 1H: ema21_ema50_diff - 0.329357
- 1H: all_emas_in_trend - True
- 1H: all_emas_and_price_in_trend - True
- 1H: rsi - 0.659485
- 1H: kc_percentage - 0.793717
- 1H: kc_width_percentage - 0.663007 ¸
- 15m: ema9 - 0.147537
- 15m: ema21 - 0.138671
- 15m: ema50 - 0.116349
- 15m: price_ema9_diff - -0.125529
- 15m: ema9_ema21_diff - 0.0639351
- 15m: ema21_ema50_diff - 0.191852
- 15m: all_emas_in_trend - True
- 15m: all_emas_and_price_in_trend - False
- 15m: rsi - 0.485049
- 15m: kc_percentage - 0.351098
- 15m: kc_width_percentage - 0.488358 ¸
- 5m: ema9 - 0.145179
- 5m: ema21 - 0.148346
- 5m: ema50 - 0.142673
- 5m: price_ema9_diff - -0.10145
- 5m: ema9_ema21_diff - -0.0213475
- 5m: ema21_ema50_diff - 0.0397601
- 5m: all_emas_in_trend - False
- 5m: all_emas_and_price_in_trend - False
- 5m: rsi - 0.366268
- 5m: kc_percentage - -0.00867999
- 5m: kc_width_percentage - 0.274635 ¸
📌 Données temporelles
| Start at | Closed at | Duration |
|---|---|---|
| 2025-04-25 12:13:17 | 2025-04-25 12:25:00 | 11 minutes |
📌 Informations d'entrée et sortie
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1301 | 0.1167 | 0.1503 | 1.5 | 0.2324 |
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 0.1301
- Stop Loss: 0.1167
- Take Profit: 0.1503
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.1167 - 0.1301 = -0.0134
-
Récompense (distance jusqu'au take profit):
E - TP = 0.1301 - 0.1503 = -0.0202
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0202 / -0.0134 = 1.5075
📌 Informations de position et de gestion du risque
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 77.25 | 77.25 | 593.6 | 1.00 |
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 -0.0134
Taille de position = 8 / -0.0134 = -597.01
Taille de position USD = -597.01 x 0.1301 = -77.67
Donc, tu peux acheter -597.01 avec un stoploss a 0.1167
Avec un position size USD de -77.67$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -597.01 x -0.0134 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -597.01 x -0.0202 = 12.06
Si Take Profit atteint, tu gagneras 12.06$
Résumé
- Taille de position -597.01
- Taille de position USD -77.67
- Perte potentielle 8
- Gain potentiel 12.06
- Risk-Reward Ratio 1.5075
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 16 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 10 % | 8 $ |
| RR | PNL | PNL % | Max Drawdown |
|---|---|---|---|
| 1.5 | 12 $ | 15.53 | -5.7801691006918 |
📌 ML Extra Data
Extra RRR data
Array
(
[2] => Array
(
[take_profit] => 0.1569
[stop_loss] => 0.1167
[rr_ratio] => 2
[closed_at] => 2025-04-25 12:25:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.1636
[stop_loss] => 0.1167
[rr_ratio] => 2.5
[closed_at] => 2025-04-25 13:30:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1703
[stop_loss] => 0.1167
[rr_ratio] => 3
[closed_at] => 2025-04-25 13:30:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.177
[stop_loss] => 0.1167
[rr_ratio] => 3.5
[closed_at] => 2025-04-25 16:45:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.1837
[stop_loss] => 0.1167
[rr_ratio] => 4
[closed_at] => 2025-04-25 17:30:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 0.1904
[stop_loss] => 0.1167
[rr_ratio] => 4.5
[closed_at] => 2025-04-25 17:30:00
[result] => win
)
[5] => Array
(
[take_profit] => 0.1971
[stop_loss] => 0.1167
[rr_ratio] => 5
[closed_at] => 2025-04-25 17:30:00
[result] => win
)
)
Extra SL data
Array
(
)