Short Trade on NEO 26 Aug 2025 at 08:34:31
Take profit at 7.0223 (1 %) and Stop Loss at 7.1401 (0.66 %)
Short Trade on NEO 26 Aug 2025 at 08:34:31
Take profit at 7.0223 (1 %) and Stop Loss at 7.1401 (0.66 %)
Position size of 1204.0222 $
Take profit at 7.0223 (1 %) and Stop Loss at 7.1401 (0.66 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.72 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.64 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.73 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.453873 |
1 |
Indicators:
110007
-0.00149247
109843
0.453873
110377
-0.00484461
109843
112499
-0.0236138
109843
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 26 Aug 2025 08:34:31 |
26 Aug 2025 08:35:00 |
29 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 7.093 | 7.1401 | 7.0223 | 1.5 | 2.762 |
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 = 7.1401 - 7.093 = 0.0471
Récompense (distance jusqu'au take profit):
E - TP = 7.093 - 7.0223 = 0.0707
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0707 / 0.0471 = 1.5011
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1204.0222 | 100 | 169.748 | 12.04 |
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 / 0.0471 = 169.85
Taille de position USD = 169.85 x 7.093 = 1204.75
Donc, tu peux acheter 169.85 avec un stoploss a 7.1401
Avec un position size USD de 1204.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 169.85 x 0.0471 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 169.85 x 0.0707 = 12.01
Si Take Profit atteint, tu gagneras 12.01$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.66 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8 $ | -0.66 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.9869 % | 148.63 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 7.0223
[entry_price] => 7.093
[stop_loss] => 7.14481
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-26 08:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 7.0223
[entry_price] => 7.093
[stop_loss] => 7.14952
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-26 08:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 7.0223
[entry_price] => 7.093
[stop_loss] => 7.15423
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-26 08:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 7.0223
[entry_price] => 7.093
[stop_loss] => 7.16365
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-26 08:55:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.161
[max_drawdown] => 0.07
[rr_ratio] => 2.3
[high] => 7.16300000
[low] => 6.93200000
[mfe_pct] => 2.27
[mae_pct] => 0.99
[mfe_mae_ratio] => 2.3
[candles_analyzed] => 24
[start_at] => 2025-08-26T08:34:31-04:00
[end_at] => 2025-08-26T10:34:31-04:00
)
[long_term] => Array
(
[max_gain] => 0.161
[max_drawdown] => 0.07
[rr_ratio] => 2.3
[high] => 7.16300000
[low] => 6.93200000
[mfe_pct] => 2.27
[mae_pct] => 0.99
[mfe_mae_ratio] => 2.3
[candles_analyzed] => 84
[start_at] => 2025-08-26T08:34:31-04:00
[end_at] => 2025-08-26T15:34:31-04:00
)
[breakout] => Array
(
[high_before] => 7.14400000
[high_after] => 7.16300000
[low_before] => 6.91900000
[low_after] => 6.93200000
[is_new_high] =>
[is_new_low] =>
)
)