Long Trade on ADA
The 01 Apr 2025 at 14:19:52
With 1759 ADA at 0.6786$ per unit.
Take profit at 0.6832 (0.68 %) and Stop Loss at 0.6755 (0.46 %)
That's a 1.5 RR TradeTrade
buy - ADA
Status
loss
2025-04-01 14:19:52
30 minutes
PNL
-0.46
Entry: 0.6786
Last: 0.67550000
Results
Status:
loss
Trade Type:
buy
Prediction Score:
| Prediction 1 | Accuracy |
|---|---|
|
|
n/a |
| Prediction 2 | Accuracy |
|---|---|
| n/a |
ML Trade Score: -100
Signal
CatchTheWave Signal - buy
Indicators:
- long_trend: 1
- short_kc: True
- short_kc_percentage: 0.19
- atr: 0.0020575
Details
- score: 2.19
- long_trend_details: ema9 - 0.681166
- long_trend_details: ema21 - 0.674284
- long_trend_details: ema50 - 0.669417
- long_trend_details: ema9_ema21_diff - 1.02073
- long_trend_details: ema21_ema50_diff - 0.727049
- long_trend_details: ema9_ema50_diff - 1.7552
- long_trend_details: price_ema21_diff - 0.640063
- long_trend_details: all_emas_in_trend - True
- long_trend_details: all_emas_and_price_in_trend - False ¸
📌 Similar Trades
Similar Trade Score: -12.08 %
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 01 Apr 2025 14:19:52 |
01 Apr 2025 14:50:00 |
30 minutes |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6786 | 0.6755 | 0.6832 | 1.5 | 0.6629 |
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 0.6786
- Stop Loss: 0.6755
- Take Profit: 0.6832
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.6755 - 0.6786 = -0.0031
-
Récompense (distance jusqu'au take profit):
E - TP = 0.6786 - 0.6832 = -0.0046
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0046 / -0.0031 = 1.4839
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1759 | 1759 | 2592 | 17.59 |
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 -0.0031
Taille de position = 8 / -0.0031 = -2580.65
Taille de position USD = -2580.65 x 0.6786 = -1751.23
Donc, tu peux acheter -2580.65 avec un stoploss a 0.6755
Avec un position size USD de -1751.23$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2580.65 x -0.0031 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2580.65 x -0.0046 = 11.87
Si Take Profit atteint, tu gagneras 11.87$
Résumé
- Taille de position -2580.65
- Taille de position USD -1751.23
- Perte potentielle 8
- Gain potentiel 11.87
- Risk-Reward Ratio 1.4839
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 0.68 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.46 % | 8 $ |
| RR | PNL | PNL % | Max Drawdown |
|---|---|---|---|
| 1.5 | -8 $ | -0.46 | -0.47155909224874 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 0.6832
[entry_price] => 0.6786
[stop_loss] => 0.67519
[rr_ratio] => 1.35
[sl_change_percentage] => 1.1
[closed_at] => 2025-04-01 16:25:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6832
[entry_price] => 0.6786
[stop_loss] => 0.67488
[rr_ratio] => 1.24
[sl_change_percentage] => 1.2
[closed_at] => 2025-04-01 16:25:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6832
[entry_price] => 0.6786
[stop_loss] => 0.67457
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-04-01 16:25:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6832
[entry_price] => 0.6786
[stop_loss] => 0.67395
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-04-01 16:25:00
[result] => loss
)
)