Short Trade on GRASS 05 Aug 2025 at 17:07:42
Take profit at 0.6595 (1.02 %) and Stop Loss at 0.6709 (0.69 %)
Short Trade on GRASS 05 Aug 2025 at 17:07:42
Take profit at 0.6595 (1.02 %) and Stop Loss at 0.6709 (0.69 %)
Position size of 1167.8121 $
Take profit at 0.6595 (1.02 %) and Stop Loss at 0.6709 (0.69 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.46 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.55 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.628123 |
Indicators:
113540
0.00236716
113809
0.628123
114037
-0.00199929
113809
114045
-0.00206545
113809
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 05 Aug 2025 17:07:42 |
05 Aug 2025 17:10:00 |
2 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6663 | 0.6709 | 0.6595 | 1.48 | 0.2198 |
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 = 0.6709 - 0.6663 = 0.0046
Récompense (distance jusqu'au take profit):
E - TP = 0.6663 - 0.6595 = 0.0068
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0068 / 0.0046 = 1.4783
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1167.8121 | 100 | 1752.6821 | 11.68 |
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 / 0.0046 = 1739.13
Taille de position USD = 1739.13 x 0.6663 = 1158.78
Donc, tu peux acheter 1739.13 avec un stoploss a 0.6709
Avec un position size USD de 1158.78$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 1739.13 x 0.0046 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 1739.13 x 0.0068 = 11.83
Si Take Profit atteint, tu gagneras 11.83$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.02 % | 11.92 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.69 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.06 $ | -0.69 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.1106 % | 160.86 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6595
[entry_price] => 0.6663
[stop_loss] => 0.67136
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-05 17:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6595
[entry_price] => 0.6663
[stop_loss] => 0.67182
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-05 17:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6595
[entry_price] => 0.6663
[stop_loss] => 0.67228
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-05 17:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6595
[entry_price] => 0.6663
[stop_loss] => 0.6732
[rr_ratio] => 0.99
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-05 17:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0157
[max_drawdown] => 0.0074
[rr_ratio] => 2.12
[high] => 0.67370000
[low] => 0.65060000
[mfe_pct] => 2.36
[mae_pct] => 1.11
[mfe_mae_ratio] => 2.12
[candles_analyzed] => 24
[start_at] => 2025-08-05T17:07:42-04:00
[end_at] => 2025-08-05T19:07:42-04:00
)
[long_term] => Array
(
[max_gain] => 0.0222
[max_drawdown] => 0.0085
[rr_ratio] => 2.61
[high] => 0.67480000
[low] => 0.64410000
[mfe_pct] => 3.33
[mae_pct] => 1.28
[mfe_mae_ratio] => 2.61
[candles_analyzed] => 84
[start_at] => 2025-08-05T17:07:42-04:00
[end_at] => 2025-08-06T00:07:42-04:00
)
[breakout] => Array
(
[high_before] => 0.66980000
[high_after] => 0.67480000
[low_before] => 0.65110000
[low_after] => 0.64630000
[is_new_high] =>
[is_new_low] => 1
)
)