Short Trade on RDAC 18 May 2025 at 00:19:58
Take profit at 0.02322 (3.13 %) and Stop Loss at 0.02447 (2.09 %)
Short Trade on RDAC 18 May 2025 at 00:19:58
Take profit at 0.02322 (3.13 %) and Stop Loss at 0.02447 (2.09 %)
Position size of 382.9903 $
Take profit at 0.02322 (3.13 %) and Stop Loss at 0.02447 (2.09 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.5 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.062262 |
Indicators:
103186
0.000746839
103263
0.062262
103147
0.00112762
103263
103333
-0.000676781
103263
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 00:19:58 |
18 May 2025 00:20:00 |
2 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.02397 | 0.02447 | 0.02322 | 1.5 | 0.00989 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.02447 - 0.02397 = 0.0005
Récompense (distance jusqu'au take profit):
E - TP = 0.02397 - 0.02322 = 0.00075
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00075 / 0.0005 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 382.9903 | 100 | 15977.9029 | 3.83 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.0005 = 16000
Taille de position USD = 16000 x 0.02397 = 383.52
Donc, tu peux acheter 16000 avec un stoploss a 0.02447
Avec un position size USD de 383.52$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 16000 x 0.0005 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 16000 x 0.00075 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 3.13 % | 11.98 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.09 % | 7.99 $ |
| PNL | PNL % |
|---|---|
| -7.99 $ | -2.09 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.8368794326241 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.02322
[entry_price] => 0.02397
[stop_loss] => 0.02452
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 00:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.02322
[entry_price] => 0.02397
[stop_loss] => 0.02457
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 00:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.02322
[entry_price] => 0.02397
[stop_loss] => 0.02462
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 00:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.02322
[entry_price] => 0.02397
[stop_loss] => 0.02472
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 00:25:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00097
[max_drawdown] => 0.00231
[rr_ratio] => 0.42
[high] => 0.02628000
[low] => 0.02300000
[mfe_pct] => 4.05
[mae_pct] => 9.64
[mfe_mae_ratio] => 0.42
[candles_analyzed] => 24
[start_at] => 2025-05-18T00:19:58-04:00
[end_at] => 2025-05-18T02:19:58-04:00
)
[long_term] => Array
(
[max_gain] => 0.00097
[max_drawdown] => 0.00231
[rr_ratio] => 0.42
[high] => 0.02628000
[low] => 0.02300000
[mfe_pct] => 4.05
[mae_pct] => 9.64
[mfe_mae_ratio] => 0.42
[candles_analyzed] => 72
[start_at] => 2025-05-18T00:19:58-04:00
[end_at] => 2025-05-18T06:19:58-04:00
)
[breakout] => Array
(
[high_before] => 0.02404000
[high_after] => 0.02628000
[low_before] => 0.02199000
[low_after] => 0.02300000
[is_new_high] =>
[is_new_low] =>
)
)