Short Trade on SAHARA 06 Aug 2025 at 11:35:16
Take profit at 0.086 (0.72 %) and Stop Loss at 0.08704 (0.48 %)
Short Trade on SAHARA 06 Aug 2025 at 11:35:16
Take profit at 0.086 (0.72 %) and Stop Loss at 0.08704 (0.48 %)
Position size of 1666.0542 $
Take profit at 0.086 (0.72 %) and Stop Loss at 0.08704 (0.48 %)
That's a 1.48 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.91 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.78 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.88 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.070326 |
Indicators:
114223
0.00876136
115224
0.070326
113846
0.0120997
115224
114028
0.010485
115224
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Aug 2025 11:35:16 |
06 Aug 2025 11:55:00 |
19 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.08662 | 0.08704 | 0.086 | 1.48 | 0.01589 |
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 = 0.08704 - 0.08662 = 0.00042
Récompense (distance jusqu'au take profit):
E - TP = 0.08662 - 0.086 = 0.00062000000000001
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00062000000000001 / 0.00042 = 1.4762
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1666.0542 | 100 | 19234.0592 | 16.66 |
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 / 0.00042 = 19047.62
Taille de position USD = 19047.62 x 0.08662 = 1649.9
Donc, tu peux acheter 19047.62 avec un stoploss a 0.08704
Avec un position size USD de 1649.9$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 19047.62 x 0.00042 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 19047.62 x 0.00062000000000001 = 11.81
Si Take Profit atteint, tu gagneras 11.81$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.72 % | 11.93 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.48 % | 8.08 $ |
| PNL | PNL % |
|---|---|
| -8.08 $ | -0.48 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7042 % | 145.23 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.086
[entry_price] => 0.08662
[stop_loss] => 0.087082
[rr_ratio] => 1.34
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-06 11:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.086
[entry_price] => 0.08662
[stop_loss] => 0.087124
[rr_ratio] => 1.23
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-06 11:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.086
[entry_price] => 0.08662
[stop_loss] => 0.087166
[rr_ratio] => 1.14
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-06 11:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.086
[entry_price] => 0.08662
[stop_loss] => 0.08725
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-06 12:35:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00131
[max_drawdown] => 0.00061
[rr_ratio] => 2.15
[high] => 0.08723000
[low] => 0.08531000
[mfe_pct] => 1.51
[mae_pct] => 0.7
[mfe_mae_ratio] => 2.15
[candles_analyzed] => 24
[start_at] => 2025-08-06T11:35:16-04:00
[end_at] => 2025-08-06T13:35:16-04:00
)
[long_term] => Array
(
[max_gain] => 0.00131
[max_drawdown] => 0.0009
[rr_ratio] => 1.46
[high] => 0.08752000
[low] => 0.08531000
[mfe_pct] => 1.51
[mae_pct] => 1.04
[mfe_mae_ratio] => 1.46
[candles_analyzed] => 84
[start_at] => 2025-08-06T11:35:16-04:00
[end_at] => 2025-08-06T18:35:16-04:00
)
[breakout] => Array
(
[high_before] => 0.08687000
[high_after] => 0.08752000
[low_before] => 0.08472000
[low_after] => 0.08531000
[is_new_high] =>
[is_new_low] =>
)
)