Short Trade on USELESS 19 Jul 2025 at 20:56:55
Take profit at 0.2818 (1.61 %) and Stop Loss at 0.2894 (1.05 %)
Short Trade on USELESS 19 Jul 2025 at 20:56:55
Take profit at 0.2818 (1.61 %) and Stop Loss at 0.2894 (1.05 %)
Position size of 755.1493 $
Take profit at 0.2818 (1.61 %) and Stop Loss at 0.2894 (1.05 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.5 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.46 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.468449 |
Indicators:
117819
0.00127398
117970
0.468449
117930
-0.00134933
117771
118258
-0.00243537
117970
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 19 Jul 2025 20:56:55 |
19 Jul 2025 21:05:00 |
8 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.2864 | 0.2894 | 0.2818 | 1.53 | 0.04214 |
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 = 0.2894 - 0.2864 = 0.003
Récompense (distance jusqu'au take profit):
E - TP = 0.2864 - 0.2818 = 0.0046
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0046 / 0.003 = 1.5333
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 755.1493 | 100 | 2636.6943 | 7.55 |
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 / 0.003 = 2666.67
Taille de position USD = 2666.67 x 0.2864 = 763.73
Donc, tu peux acheter 2666.67 avec un stoploss a 0.2894
Avec un position size USD de 763.73$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 2666.67 x 0.003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 2666.67 x 0.0046 = 12.27
Si Take Profit atteint, tu gagneras 12.27$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.61 % | 12.13 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.05 % | 7.91 $ |
| PNL | PNL % |
|---|---|
| -7.91 $ | -1.05 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -2.3743 % | 226.66 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.2818
[entry_price] => 0.2864
[stop_loss] => 0.2897
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-19 21:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.2818
[entry_price] => 0.2864
[stop_loss] => 0.29
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-19 21:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.2818
[entry_price] => 0.2864
[stop_loss] => 0.2903
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-19 21:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.2818
[entry_price] => 0.2864
[stop_loss] => 0.2909
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-19 21:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00069999999999998
[max_drawdown] => 0.0139
[rr_ratio] => 0.05
[high] => 0.30030000
[low] => 0.28570000
[mfe_pct] => 0.24
[mae_pct] => 4.85
[mfe_mae_ratio] => 0.05
[candles_analyzed] => 24
[start_at] => 2025-07-19T20:56:55-04:00
[end_at] => 2025-07-19T22:56:55-04:00
)
[long_term] => Array
(
[max_gain] => 0.00069999999999998
[max_drawdown] => 0.0173
[rr_ratio] => 0.04
[high] => 0.30370000
[low] => 0.28570000
[mfe_pct] => 0.24
[mae_pct] => 6.04
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 72
[start_at] => 2025-07-19T20:56:55-04:00
[end_at] => 2025-07-20T02:56:55-04:00
)
[breakout] => Array
(
[high_before] => 0.28700000
[high_after] => 0.30370000
[low_before] => 0.27530000
[low_after] => 0.28570000
[is_new_high] =>
[is_new_low] =>
)
)