Long Trade on BANANA
The 27 Mar 2025 at 00:15:09
With 38.3933 BANANA at 24.845$ per unit.
Position size of 953.8828 $
Take profit at 25.1576 (1.26 %) and Stop Loss at 24.6366 (0.84 %)
That's a 1.5 RR TradeTrade
buy - BANANA
Status
loss
2025-03-27 00:15:09
29 minutes
PNL
-0.84
Entry: 24.845
Last: 24.63660000
Results
Status:
loss
Trade Type:
buy
Prediction Score:
| Prediction 1 | Probability |
|---|---|
|
|
n/a |
| Prediction 2 | Probability |
|---|---|
| n/a |
| Prediction 3 | Probability |
|---|---|
| n/a |
ML Trade Score: -100
ML Pullback Score: 0.19
📌 Similar Trades
Similar Trade Score: -45 %
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 27 Mar 2025 00:15:09 |
27 Mar 2025 00:45:00 |
29 minutes |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 24.845 | 24.6366 | 25.1576 | 1.5 | 23.093 |
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 24.845
- Stop Loss: 24.6366
- Take Profit: 25.1576
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 24.6366 - 24.845 = -0.2084
-
Récompense (distance jusqu'au take profit):
E - TP = 24.845 - 25.1576 = -0.3126
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.3126 / -0.2084 = 1.5
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 953.8828 | 953.8828 | 38.3933 | 9.54 |
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 -0.2084
Taille de position = 8 / -0.2084 = -38.39
Taille de position USD = -38.39 x 24.845 = -953.8
Donc, tu peux acheter -38.39 avec un stoploss a 24.6366
Avec un position size USD de -953.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -38.39 x -0.2084 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -38.39 x -0.3126 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position -38.39
- Taille de position USD -953.8
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 1.26 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.84 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.84 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 25.16
[entry_price] => 24.84
[stop_loss] => 24.62
[rr_ratio] => 1.45
[sl_change_percentage] => 1.1
[closed_at] => 2025-03-27 00:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 25.16
[entry_price] => 24.84
[stop_loss] => 24.6
[rr_ratio] => 1.33
[sl_change_percentage] => 1.2
[closed_at] => 2025-03-27 00:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 25.16
[entry_price] => 24.84
[stop_loss] => 24.58
[rr_ratio] => 1.23
[sl_change_percentage] => 1.3
[closed_at] => 2025-03-27 01:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 25.16
[entry_price] => 24.84
[stop_loss] => 24.54
[rr_ratio] => 1.07
[sl_change_percentage] => 1.5
[closed_at] => 2025-03-27 01:45:00
[result] => loss
)
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 0.053000000000001
[max_drawdown] => 0.45
[rr_ratio] => 0.12
[high] => 24.89800000
[low] => 24.39500000
[mfe_pct] => 0.21
[mae_pct] => 1.81
[mfe_mae_ratio] => 0.12
[candles_analyzed] => 24
[start_at] => 2025-03-27T00:15:09-04:00
[end_at] => 2025-03-27T02:15:09-04:00
)
[long_term] => Array
(
[max_gain] => 0.15
[max_drawdown] => 1.03
[rr_ratio] => 0.15
[high] => 24.99500000
[low] => 23.81500000
[mfe_pct] => 0.6
[mae_pct] => 4.15
[mfe_mae_ratio] => 0.15
[candles_analyzed] => 72
[start_at] => 2025-03-27T00:15:09-04:00
[end_at] => 2025-03-27T06:15:09-04:00
)
[breakout] => Array
(
[high_before] => 25.60000000
[high_after] => 24.99500000
[low_before] => 24.48100000
[low_after] => 23.81500000
[is_new_high] =>
[is_new_low] =>
)
)